Overlapping and differential neuropharmacological mechanisms of stimulants and nonstimulants for attention-deficit/hyperactivity disorder: A comparative neuroimaging analysis
Open accessAbstract
Abstract Background Psychostimulants and nonstimulants have partially overlapping pharmacological targets on attention-deficit/hyperactivity disorder (ADHD), but whether their neuroimaging underpinnings differ is elusive. We aimed to identify overlapping and medication-specific brain functional mechanisms of psychostimulants and nonstimulants on ADHD. Methods After a systematic literature search and database construction, the imputed maps of separate and pooled neuropharmacological mechanisms were meta-analyzed by Seed-based d Mapping toolbox, followed by large-scale network analysis to uncover potential coactivation patterns and meta-regression analysis to examine the modulatory effects of age and sex. Results Twenty-eight whole-brain task-based functional MRI studies (396 cases in the medication group and 459 cases in the control group) were included. Possible normalization effects of stimulant and nonstimulant administration converged on increased activation patterns of the left supplementary motor area (Z = 1.21, p < 0.0001, central executive network). Stimulants, relative to nonstimulants, increased brain activations in the left amygdala (Z = 1.30, p = 0.0006), middle cingulate gyrus (Z = 1.22, p = 0.0008), and superior frontal gyrus (Z = 1.27, p = 0.0006), which are within the ventral attention network. Neurodevelopmental trajectories emerged in activation patterns of the right supplementary motor area and left amygdala, with the left amygdala also presenting a sex-related difference. Conclusions Convergence in the left supplementary motor area may delineate novel therapeutic targets for effective interventions, and distinct neural substrates could account for different therapeutic responses to stimulants and nonstimulants.
AI snapshot
Written from the paper’s full text.
TL;DR
This comparative meta-analysis of 28 task-based fMRI studies found that stimulants and nonstimulants share normalization effects in the left supplementary motor area, while stimulants show greater activation changes in the left amygdala, middle cingulate gyrus, and superior frontal gyrus. These overlapping and distinct neural substrates may help explain shared efficacy and differential therapeutic responses in ADHD.
Key findings
- Across 28 whole-brain task-based fMRI studies (396 medication cases, 459 control cases), stimulant and nonstimulant effects converged on increased left supplementary motor area activation (Z = 1.206, p < 0.0001, cluster size = 44; 43.18% relative distribution in the central executive network).
- Stimulants, relative to nonstimulants, increased activation in the left amygdala (Z = 1.295, p = 0.0006, cluster size = 199), left middle cingulate gyrus (Z = 1.222, p = 0.0008, cluster size = 174; and Z = 1.271, p = 0.0006, cluster size = 63), and left superior frontal gyrus (Z = 1.243, p = 0.0007, cluster size = 68), distributed within the ventral attention network.
- Stimulant-specific effects versus control included increased left cerebellum (Z = 1.449, p = 0.0001), right supplementary motor area (Z = 1.266, p = 0.0007), right anterior cingulate gyrus (Z = 1.560, p < 0.0001), right postcentral gyrus (Z = 1.132, p = 0.0016), and left middle frontal gyrus (Z = 1.100, p = 0.0020), plus reduced left supplementary motor area (Z = −1.307, p = 0.0013).
- Nonstimulant-specific effects versus control included reduced left middle cingulate gyrus extending to bilateral supplementary motor area (Z = −1.808, p < 0.0001), left amygdala (Z = −1.345, p = 0.0010), left superior frontal gyrus (Z = −1.819, p < 0.0001), and right caudate nucleus (Z = −1.540, p = 0.0002); meta-regression linked younger age to stimulant-induced reduced right supplementary motor area activation and male sex with greater age to nonstimulant-related reduced left amygdala activation.
Methods
- Preregistered systematic review and meta-analysis (OSF; PRISMA) searched PubMed, Medline, and Web of Science before May 8, 2022, including 28 task-based fMRI studies: 19 stimulant-specific and 9 nonstimulant-specific, with 396 medication-group and 459 control-group cases.
- Extracted whole-brain activation coordinates and analyzed them with AES-SDM/Seed-based d Mapping random-effects meta-analysis, including conjunction and comparative SDM linear models; medication-specific threshold was p < 0.005 with clusters > 10 voxels, and two-modality analyses used corrected p < 0.0025.
- Performed large-scale network decoding using seven Yeo networks, meta-regression for age and sex, subgroup analyses for cognitive control and child samples, publication-bias tests, and Jackknife sensitivity analyses.
Limitations
- The paper states heterogeneity from included tasks (most assessed cognitive control, others working memory and attention), mixed child/adult samples, and varied designs including randomized controlled and cross-sectional trials; it also states it could not differentiate short- versus long-term medication effects, nonstimulant pathways are diverse, and clinical ratings were unavailable to infer treatment response or disorder/diagnostic specificity.
- Evident from the text: nonstimulant evidence came from only 9 studies versus 19 stimulant studies, limiting power for nonstimulant-specific and comparative conclusions.
- Evident from the text: medication effects were pooled across within-subject, between-subject, and mixed designs, which the authors note may contribute to heterogeneity.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
36 of 91 cited sources checked · 5 supported · 2 flagged · accuracy not yet measured
- Premisecitation
The normalization effects of stimulants could also modulate frontolimbic abnormalities.
“the normalization effects of stimulants could also modulate the frontolimbic abnormalities (Wiguna, Guerrero, Wibisono, & Sastroasmoro, 2014).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Wiguna, Guerrero, Wibisono, & Sastroasmoro, 2014 source
The Results report reduced glutamate-to-creatine ratios in both amygdalae after 12 weeks of methylphenidate, and the Introduction discusses prefrontal–limbic abnormalities in children with ADHD. But the study measured the amygdala, not frontolimbic circuitry, and had no healthy control group to establish normalization (Discussion). It supports a possible limbic effect, not the broader normalization claim. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Premisecitation
Both stimulants and nonstimulants may act on brain frontoparietal circuitry to ameliorate the dysfunction of cognitive control and attention in ADHD individuals.
“Taken together, both stimulants and nonstimulants may act on brain frontoparietal circuity to ameliorate the dysfunction of cognitive control and attention in ADHD individuals (Cubillo et al., 2014; Fu et al., 2022; Tomasi et al., 2011)”
Quote in the paperSubstantial claim1 of 3 sources checked- cites Cubillo et al., 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Fu et al., 2022
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Tomasi et al., 2011 source
The Results and Discussion (page numbers unavailable) report that methylphenidate, a stimulant, increased activation in frontal and parietal attention-network regions during attention and working-memory tasks. The study tested healthy controls, not people with ADHD; it did not test nonstimulants or show that either drug class ameliorates cognitive-control dysfunction in ADHD. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Interpretationcitation
Stimulants may upregulate neuroimaging activation patterns in the left cerebellum compared to controls given their indirect phosphorylation of the glutamate receptor through modulating the release of norepinephrine.
“Our study reveals that stimulants may upregulate neuroimaging activation patterns in the left cerebellum compared to controls given their indirect phosphorylation of the glutamate receptor through modulating the release of norepinephrine”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Arnsten & Dudley, 2005 source
The Background and Discussion (pages unavailable) say that methylphenidate and amphetamine increase norepinephrine in the rat prefrontal cortex. The paper does not link this effect to glutamate-receptor phosphorylation or report increased left-cerebellar neuroimaging activation relative to controls; the latter is framed as the citing authors’ own finding. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites Cutando et al., 2021
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationcitation
Underactivated MCC in ADHD individuals may be connected with the core symptom of inattention.
“Underactivated MCC in ADHD individuals may be construed as connected with the core symptom of inattention”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites Emond, Joyal, & Poissant, 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Rolls, 2019 source
In the section “Midcingulate cortex, the cingulate motor area, and action–outcome learning” (page unavailable), the paper suggests that anterior MCC activity helps direct attention and is relevant to ADHD. It does not report that the MCC is underactivated in people with ADHD or specifically link such underactivation to inattention. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites Vossel, Geng, & Fink, 2014 source
The Introduction and Conclusions discuss attention networks, while the Dorsal–Ventral Interactions section discusses altered activity in patients with spatial neglect. Searches for ADHD, MCC or midcingulate cortex, and inattention found no passage connecting MCC underactivation in ADHD to inattention. (LLM, conf=0.72)
Experimental — accuracy not yet measured
- Interpretationcitation
The overlapping mechanism between the neuropharmacological effects of stimulants and nonstimulants was mapped in the inhibited activation patterns of the left SMA that coactivated with the CEN.
“the overlapping mechanism between the neuropharmacological effects of stimulants and nonstimulants was mapped in the inhibited activation patterns of the left SMA that coactivated with the CEN.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Schulz et al., 2012 source
The Results (Neural Correlates of Symptomatic Improvement; page unavailable) link improvement with reduced activation in the left and right motor cortices for both treatments. But they report divergent changes in the left anterior cingulate/supplementary motor area—activation increased with atomoxetine and decreased with methylphenidate. Our copy does not identify coactivation with the CEN. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Studies that directly compare the neural bases of stimulants and nonstimulants are limited.
“and studies that directly compare the neural bases of stimulants and nonstimulants are limited”
Quote in the paperSubstantial claim1 of 3 sources checked - Interpretationreasoning
Medication responses in the lingual gyrus may reflect symptom amelioration of disruptive behavior within the domain of cognitive control.
“Thus, medication responses in the lingual gyrus may reflect symptom amelioration of disruptive behavior within the domain of cognitive control.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Besteher et al., 2017 source
The Voxel-Based Morphometry Analysis reports an association between left lingual-gyrus volume and aggression/hostility scores in healthy adults. It does not study medication responses or symptom improvement, and the cited passages do not link the lingual-gyrus finding specifically to cognitive control. Page numbers are unavailable in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites Mechelli, Humphreys, Mayall, Olson, & Price, 2000 source
- Premisecitation
Emotional dysregulation is more prevalent in ADHD adults relative to adolescents.
“Emotional dysregulation is more prevalent in ADHD adults relative to adolescents”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Shaw, Stringaris, Nigg, & Leibenluft, 2014 source
The Prevalence section reports emotion dysregulation in around 25–45% of children and 30–70% of adults with ADHD. These overlapping ranges provide some basis for the comparison, but the paper does not give an adolescent-specific rate or establish that prevalence is higher in adults than in adolescents. (LLM, conf=0.83)
Experimental — accuracy not yet measured
- Interpretationcitation
Nonstimulants may improve deficits in response inhibition and tendencies for impulsive choices in ADHD individuals.
“and may in turn, improve deficits in response inhibition and tendencies for impulsive choices in ADHD individuals”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Szekely, Sudre, Sharp, Leibenluft, & Shaw, 2017 source
The Discussion’s Clinical implications section (page unavailable) suggests that pharmacological interventions targeting prefrontal or cerebellar functions may help address ADHD-related deficits, and the Introduction links motor inhibition to impulsivity. It does not identify nonstimulants as beneficial or assess improvement in impulsive choices; the study used a response-inhibition task, not a treatment comparison. (LLM, conf=0.83)
Experimental — accuracy not yet measured
- Premisecitation
The lingual gyrus, a component of the visual cortex underlying word identification and recognition, has also been implicated in irritability and impulsive aggression in subclinical samples.
“The lingual gyrus, a component of the visual cortex underlying word identification and recognition, has also been implicated in irritability and impulsive aggression in subclinical samples”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Besteher et al., 2017 source
The Abstract and Discussion (page not provided) report a positive correlation between left lingual gyrus volume and self-reported aggression/hostility in healthy adults, supporting its implication in subclinical irritability and aggression. The study does not establish that this association concerns impulsive aggression specifically, and the cited passages do not support the claim about word identification and recognition. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites Mechelli, Humphreys, Mayall, Olson, & Price, 2000 source
- Premisecitation
Nonstimulants act on glutaminergic signaling, which affects the dopaminergic neurons in the caudate nucleus.
“Nonstimulants act on glutaminergic signaling, which affects the dopaminergic neurons in the caudate nucleus”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Easton, Marshall, Fone, & Marsden, 2007
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites King et al., 2019 source
The Discussion (page not provided) says glutaminergic signaling modulates dopaminergic signaling in the caudate nucleus. It does not say that nonstimulants act on glutaminergic signaling; its drug discussion concerns methylphenidate, which it calls a psychostimulant. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Functional hypoactivation and volumetric reduction of the SMA constitute the psychopathological model of ADHD underlying excessively impulsive actions.
“Functional hypoactivation and volumetric reduction of the SMA constitute the psychopathological model of ADHD underlying excessively impulsive actions”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Cortese et al., 2012 source
The Discussion reports hypoactivation in the medial superior frontal gyrus/supplementary motor area (SMA) in ADHD and relates the motor-system findings to motoric hyperactivity. It does not report an anatomical volume reduction of the SMA or establish that these findings underlie excessively impulsive actions; the volume values in the Results describe activation clusters, not SMA size. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Jarczok, Haase, Bluschke, Thiemann, & Bender, 2019 source
- Interpretationown data
Nonstimulants may have better inhibitory effects on abnormal affective processes in ADHD adults relative to youth.
“indicating that nonstimulants may have better inhibitory effects on abnormal affective processes in ADHD adults relative to youth”
Quote in the paperSubstantial claim1 of 3 sources checked- cites Aggleton, 1993 source
- cites Phelps & LeDoux, 2005 source
- cites Winstanley, Theobald, Cardinal, & Robbins, 2004 source
The Introduction mentions ADHD only as an example of a condition involving impulsivity. The Discussion reports effects of brain lesions on impulsive choice in rats. Searches for nonstimulants, affective inhibition, and adult-versus-youth ADHD found no passage addressing the claimed treatment comparison; page numbers were not provided in our copy. (LLM, conf=0.75)
Experimental — accuracy not yet measured
- Findingown data
In nonstimulant cases, male patients with greater age modulated the reduced activation of the left amygdala.
“In terms of neuropharmacological effects of nonstimulants, male patients with greater age modulated the reduced activation of the left amygdala (peak coordinates: −32, 2, −18 and −34, 4, −18, Online Supplementary Table S1).”
Quote in the paperNot a substantial claim - Findingown data
Stimulant treatment in individuals with ADHD was associated with increased brain activation in the right SMA compared to controls.
“right SMA (peak coordinates: 18, −6, 68; Z = 1.226; cluster size = 152)”
Quote in the paperSubstantial claim - Findingown data
In studies examining cognitive control, stimulant medication decreased activation in the right SMA.
“while decreased activation was found in the right SMA (peak coordinates: 2, 14, 54; Z = −1.346; cluster size = 454)”
Quote in the paperNot a substantial claim - Findingown data
Nonstimulant treatment in ADHD youth reduced activation in the left SFG.
“left SFG (peak coordinates: −22, 46, 32; Z = −1.819; cluster size = 447)”
Quote in the paperSubstantial claim - Findingown data
In subgroup analyses of children with ADHD, stimulant medication was mainly associated with increased activation in the left cerebellum.
“In the subgroup analyses of children with ADHD, stimulant medication was mainly associated with increased activation in the left cerebellum (peak coordinates: −10, −54, −6; Z = 1.627; cluster size = 984)”
Quote in the paperNot a substantial claim - Findingown data
Stimulant treatment in individuals with ADHD was associated with increased brain activation in the right postcentral gyrus compared to controls.
“right postcentral gyrus (posG, peak coordinates: 30, −42, 62; Z = 1.132; cluster size = 99)”
Quote in the paperNot a substantial claim - Findingown data
Psychostimulant treatment reduced neural responses in the left SMA relative to control conditions.
“psychostimulant treatment reduced neural responses in the left SMA (peak coordinates: −2, 20, 50; Z = −1.307; cluster size = 356) relative to control conditions.”
Quote in the paperSubstantial claim - Findingown data
In subgroup analyses of children with ADHD, stimulant medication was mainly associated with decreased activation in the right MCC.
“and decreased activation in the right MCC (peak coordinates: 2, 24, 30; Z = −1.368; cluster size = 841)”
Quote in the paperNot a substantial claim - Findingown data
Stimulants and nonstimulants have overlapping actions on brain activation patterns of the left SMA in individuals diagnosed with ADHD.
“Our comparative meta-analytic analysis showed that stimulants and nonstimulants have overlapping actions on brain activation patterns of the left SMA in individuals diagnosed with ADHD.”
Quote in the paperSubstantial claim- Rests on an assumption: Pooling neuroimaging studies that used different cognitive tasks (cognitive control, working memory, attention) yields interpretable medication effects.
- Rests on an assumption: Pooling randomized controlled and cross-sectional trials yields interpretable medication effects.
- Rests on an assumption: The brain networks (VAN, AFN, CEN) used to interpret the findings are valid constructs.
- Findingown data
For nonstimulant medication, decreased activation was found in the left SFG.
“with decreased activation in the left SFG (peak coordinates: −20, 48, 34; Z = −2.172; cluster size = 654)”
Quote in the paperNot a substantial claim - Findingnone given
The increased activations in the left amygdala, middle cingulate gyrus, and superior frontal gyrus under stimulants relative to nonstimulants are within the ventral attention network.
“which are within the ventral attention network.”
Quote in the paperNot a substantial claim - Findingown data
Nonstimulant treatment in ADHD youth reduced activation in the right caudate nucleus.
“right caudate nucleus (CAU, peak coordinates: 12, 18, 14; Z = −1.540; cluster size = 151, Table 2 and Fig. 3)”
Quote in the paperSubstantial claim - Findingown data
Nonstimulant treatment in ADHD youth reduced activation in the left MCC (extending to bilateral SMA).
“Nonstimulant treatment in ADHD youth changed neural bases by reducing activations in the left MCC (extending to bilateral SMA, peak coordinates: 6, 26, −10; Z = −1.808; cluster size = 2557)”
Quote in the paperSubstantial claim - Findingown data
The regions affected by stimulants relative to nonstimulants are distributed within the VAN.
“These regions are distributed within the VAN (%RD: 15.08%, Table 2 and Fig. 2).”
Quote in the paperNot a substantial claim- Rests on an assumption: The brain networks (VAN, AFN, CEN) used to interpret the findings are valid constructs.
- Findingown data
Neurodevelopmental trajectories emerged in activation patterns of the right supplementary motor area.
“Neurodevelopmental trajectories emerged in activation patterns of the right supplementary motor area and left amygdala”
Quote in the paperNot a substantial claim - Findingown data
The left supplementary motor area cluster mainly overlaid the central executive network (relative distribution 43.18%).
“the cluster mainly overlaid the CEN (%relative distribution, %RD: 43.18%)”
Quote in the paperNot a substantial claim - Findingown data
Stimulant treatment in individuals with ADHD was associated with increased brain activation in the ACC compared to controls.
“ACC (peak coordinates: 12, 40, −4; Z = 1.560; cluster size = 125)”
Quote in the paperSubstantial claim - Findingown data
For nonstimulant medication, the main cluster of increased activation was identified in the right SMA.
“For nonstimulant medication, the main cluster of increased activation was identified in the right SMA (peak coordinates: 2, −12, 58; Z = 1.893; cluster size = 1801)”
Quote in the paperNot a substantial claim - Findingown data
Stimulants, relative to nonstimulants, increased brain activation in the superior frontal gyrus (SFG) in individuals with ADHD.
“superior frontal gyrus (SFG, peak coordinates: −22, 44, 38; Z = 1.243; cluster size = 68)”
Quote in the paperSubstantial claim - Findingown data
Younger age was associated with stimulant-induced reduced activation patterns in the right SMA.
“Meta-regression analyses revealed that younger age was associated with stimulant-induced reduced activation patterns in the right SMA (peak coordinates: 16, −6, 70).”
Quote in the paperNot a substantial claim - Findingown data
Stimulant treatment in individuals with ADHD was associated with increased brain activation in the left middle frontal gyrus (MFG) compared to controls.
“left middle frontal gyrus (MFG, peak coordinates: −42, 32, 28; Z = 1.100; cluster size = 32, Table 2 and Fig. 3)”
Quote in the paperNot a substantial claim - Findingown data
The left amygdala also presented a sex-related difference.
“with the left amygdala also presenting a sex-related difference.”
Quote in the paperNot a substantial claim - Findingown data
Stimulants, relative to nonstimulants, increased brain activation in the left middle cingulate gyrus (Z=1.22, p=0.0008).
“middle cingulate gyrus (Z = 1.22, p = 0.0008)”
Quote in the paperSubstantial claim - Findingown data
Stimulant treatment in individuals with ADHD was associated with increased brain activation in the left cerebellum compared to controls.
“the treatment response of stimulants in individuals with ADHD was associated with increased brain activation patterns in the left cerebellum (peak coordinates: −10, −54, −10; Z = 1.449; cluster size = 537)”
Quote in the paperNot a substantial claim - Findingown data
Neurodevelopmental trajectories emerged in activation patterns of the left amygdala.
“Neurodevelopmental trajectories emerged in activation patterns of the right supplementary motor area and left amygdala”
Quote in the paperNot a substantial claim - Findingown data
In subgroup analyses of children with ADHD, nonstimulant medication was primarily associated with decreased activation in the left SFG.
“and decreased activation in the left SFG (peak coordinates: −22, 48, 38; Z = −1.825; cluster size = 623)”
Quote in the paperNot a substantial claim - Findingown data
In studies examining cognitive control, stimulant medication increased activation primarily in the left lingual gyrus.
“In studies examining cognitive control, significant clusters of increased activation following stimulant medication were primarily located in the left lingual gyrus (peak coordinates: −12, −50, −8; Z = 1.660; cluster size = 773)”
Quote in the paperNot a substantial claim - Findingown data
Increased activation patterns in the left amygdala, MCC and SFG were more pronounced in individuals who received stimulants compared to those who received nonstimulants.
“increased activation patterns in the left amygdala, MCC and SFG were more pronounced in individuals who received stimulants compared to those who received nonstimulants”
Quote in the paperSubstantial claim - Findingown data
Stimulants, relative to nonstimulants, increased brain activation in the left amygdala (Z=1.30, p=0.0006).
“Stimulants, relative to nonstimulants, increased brain activations in the left amygdala (Z = 1.30, p = 0.0006)”
Quote in the paperSubstantial claim - Findingown data
Nonstimulant treatment in ADHD youth reduced activation in the left amygdala (extending to left temporal pole).
“left amygdala (extending to left temporal pole, peak coordinates: −32, 2, −18; Z = −1.345; cluster size = 475)”
Quote in the paperSubstantial claim - Findingown data
Stimulants, relative to nonstimulants, increased brain activation in the middle cingulate gyrus (MCC) in individuals with ADHD.
“middle cingulate gyrus (MCC, peak coordinates: 0, −6, 34 and −12, −34, 44; Z = 1.222 and 1.271; cluster size = 174 and 63, respectively)”
Quote in the paperSubstantial claim - Findingown data
Twenty-eight whole-brain task-based functional MRI studies were included in the meta-analysis.
“Twenty-eight whole-brain task-based functional MRI studies (396 cases in the medication group and 459 cases in the control group) were included.”
- Also stated in: § Included studies and sample characteristics · plain
“In total, 19 studies specific to stimulants and 9 studies specific to nonstimulants were included after a systematic literature search”
Quote in the paperSubstantial claim - Also stated in: § Included studies and sample characteristics · plain
- Findingown data
In subgroup analyses of children with ADHD, nonstimulant medication was primarily associated with increased activation in the right putamen.
“Nonstimulant medication was primarily associated with increased activation in the right putamen (peak coordinates: 34, −12, −8; Z = 1.094; cluster size = 194)”
Quote in the paperNot a substantial claim - Findingown data
Normalization effects of stimulant or nonstimulant administration for ADHD converged on increased activation patterns of the left supplementary motor area (peak coordinates 0, 20, 44; Z=1.206; cluster size=44).
“Normalization effects of stimulant or nonstimulant administration for ADHD converged on increased activation patterns of the left SMA (peak coordinates: 0, 20, 44; Z = 1.206; cluster size = 44)”
- Also stated in: § Results · hedged
“Possible normalization effects of stimulant and nonstimulant administration converged on increased activation patterns of the left supplementary motor area (Z = 1.21, p < 0.0001, central executive network).”
Quote in the paperSubstantial claim - Also stated in: § Results · hedged
- Findingown data
The included studies contributed 396 cases in the medication group and 459 cases in the control group.
“These articles incorporated eligible observations from 396 cases in the medication group and 459 cases in the control group”
- Also stated in: § Results · plain
“Twenty-eight whole-brain task-based functional MRI studies (396 cases in the medication group and 459 cases in the control group) were included.”
Quote in the paperNot a substantial claim - Also stated in: § Results · plain
- Findingown data
Stimulants, relative to nonstimulants, increased brain activation in the left amygdala in individuals with ADHD.
“taking stimulants, relative to nonstimulants, increased brain activations in the left amygdala (peak coordinates: −32, 0, −22; Z = 1.295; cluster size = 199)”
Quote in the paperSubstantial claim - Findingown data
Stimulants, relative to nonstimulants, increased brain activation in the left superior frontal gyrus (Z=1.27, p=0.0006).
“superior frontal gyrus (Z = 1.27, p = 0.0006)”
Quote in the paperSubstantial claim - Findingcitation
Youth seen with stimulants showed more reduced neural responses in the right SMA relative to adults.
“youth seen with stimulants showed more reduced neural responses in the right SMA relative to adults”
Quote in the paperSubstantial claim - Findingown data
Stimulant-induced neuropharmacological effects in the left lingual gyrus were observed exclusively in response to experiments of cognitive control.
“Notably, stimulant-induced neuropharmacological effects in the left lingual gyrus were observed exclusively in response to the experiments of cognitive control.”
Quote in the paperSubstantial claim - Findingown data
Subgroup analysis revealed consistent patterns of inhibited neural responses in the right SMA triggered by stimulants and in the left SFG affected by nonstimulants, even when pooling findings incorporating attention, working memory and reward constructs.
“we revealed consistent patterns of inhibited neural responses in the right SMA triggered by stimulants and these in the left SFG affected by nonstimulants, even when pooling findings incorporating attention, working memory and reward constructs.”
Quote in the paperSubstantial claim- Rests on an assumption: Pooling neuroimaging studies that used different cognitive tasks (cognitive control, working memory, attention) yields interpretable medication effects.
- Findingnone given
The brain mechanisms of nonstimulants presented a sex-related difference in the left amygdala wherein there were greater reductions in activation patterns in males than females.
“the brain mechanisms of nonstimulants also presented a sex-related difference in the left amygdala wherein there were greater reductions in activation patterns in males than females”
Quote in the paperSubstantial claim - Findingnone given
A negative correlation between age and activation alterations was found in the left amygdala in nonstimulant cases.
“A negative correlation between age and activation alterations was found in the left amygdala in nonstimulant cases”
Quote in the paperSubstantial claim - Study design and conductown data
The type of medication did not differ by sex (90.27% vs 83.85% male, χ2=3.202, p=0.074).
“the type of medication did not differ by sex (90.27% v. 83.85%, χ2 = 3.202, p = 0.074).”
Quote in the paperNot a substantial claim - Premisecitation
Increased dopamine concentration in the prefrontal cortex was observed in individuals taking medications, whether stimulants or nonstimulants.
“Neurobiological studies revealed that increased dopamine (DA) concentration in the prefrontal cortex was observed in individuals taking medications, whether stimulants or nonstimulants (Koda et al., 2010).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Koda et al., 2010 source
- Interpretationreasoning
Different neural responses toward the two medications might be induced by both normalization and side effects.
“different neural responses toward the two medications have observed, and we argue that these responses might be induced by both normalization and side effects.”
Quote in the paperSubstantial claim - Premisecitation
The AES-SDM has the capacity to adjust the raw union of probabilities to curb the false positive rate.
“The AES-SDM has the capacity to adjust the raw union of probabilities to curb the false positive rate in the worst-case scenario with regards to the presence of noise in the estimation of statistics (Norman et al., 2016; Radua et al., 2013).”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
The approach of neuroimaging meta-analysis provides an objective method for producing higher-level evidence-based reliable findings on neural mechanisms.
“The approach of neuroimaging meta-analysis provides an objective method for producing higher-level evidence-based reliable findings on its neural mechanisms (Cheung & Vijayakumar, 2016).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cheung & Vijayakumar, 2016 source
- Premisecitation
Psychostimulants and nonstimulants have partially overlapping pharmacological targets.
“Through their common neuropsychological actions and partially overlapping pharmacological targets, both psychostimulants and nonstimulants may mitigate the dysfunctional inhibition and execution processing deficits seen in ADHD (Gilbert et al., 2006).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Gilbert et al., 2006 source
- Rests on an assumption: Psychostimulants exert their therapeutic effects as indirect catecholamine agonists by blocking the dopamine transporter (DAT) and norepinephrine transporter (NET), and atomoxetine is a selective NET inhibitor.
- Premisecitation
Both psychostimulants and nonstimulants may mitigate the dysfunctional inhibition and execution processing deficits seen in ADHD.
“Through their common neuropsychological actions and partially overlapping pharmacological targets, both psychostimulants and nonstimulants may mitigate the dysfunctional inhibition and execution processing deficits seen in ADHD (Gilbert et al., 2006).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Gilbert et al., 2006 source
- Rests on an assumption: Psychostimulants exert their therapeutic effects as indirect catecholamine agonists by blocking the dopamine transporter (DAT) and norepinephrine transporter (NET), and atomoxetine is a selective NET inhibitor.
- Interpretationown data
Distinct neural substrates could account for different therapeutic responses to stimulants and nonstimulants.
“distinct neural substrates could account for different therapeutic responses to stimulants and nonstimulants.”
Quote in the paperSubstantial claim - Study design and conductown data
Jackknife sensitivity analyses substantiated the reliability and robustness of the findings.
“Jackknife sensitivity analyses substantiated the reliability and robustness of our findings (Online Supplementary Table S3).”
Quote in the paperNot a substantial claim - Study design and conductown data
No significant difference in age was found between stimulant and nonstimulant groups (15.40 ± 6.52 vs 17.19 ± 8.46, t=0.533, p=0.605).
“no significant difference between stimulant and nonstimulant groups was noted in the independent-samples t test in age (15.40 ± 6.52 v. 17.1937 ± 8.46, t = 0.533, p = 0.605)”
Quote in the paperNot a substantial claim - Interpretationreasoning
Youth may have a higher sensitivity to stimulants to improve excessive involuntary movements.
“implying they may have a higher sensitivity to stimulants to improve excessive involuntary movements”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Carucci et al., 2021
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Karl et al., 2006 source
- Interpretationown data
This consistency indicates that these neuropharmacological bases may be inherent, regardless of developmental trajectories.
“This consistency indicates that these neuropharmacological bases may be inherent, regardless of their developmental trajectories.”
Quote in the paperSubstantial claim - Interpretationcitation
The altered activation of the cerebellum incident to stimulant use may ameliorate problems of dysfunctional control and reward processes based on cerebro-cerebellar interactions.
“the altered activation of the cerebellum incident to stimulant use may ameliorate problems of dysfunctional control and reward processes based on cerebro-cerebellar interactions”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Abdallah, Farrugia, Chirokoff, & Chanraud, 2020
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductreasoning
There is considerable heterogeneity in age within the study population when interpreting the findings.
“it is inevitable to confront the considerable heterogeneity in age within study population when interpreting our findings.”
Quote in the paperNot a substantial claim - Premisecitation
Both stimulants and nonstimulants are posited to be less effective on dysfunction in the bottom-up circuits encompassing the amygdala and ventral striatum.
“Both stimulants and nonstimulants are posited to be less effective on dysfunction in the bottom-up circuits encompassing the amygdala and ventral striatum”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Lenzi, Cortese, Harris, & Masi, 2018 source
- Study design and conductown data
The study failed to differentiate the short- and long-term effects of psychostimulants and nonstimulants on brain activity due to the limited number of corresponding studies.
“we failed to differentiate the short- and long-term effects of psychostimulants and nonstimulants on brain activity due to the limited number of corresponding studies.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The disparity in responses indicates the presence of distinct pathways in the brain for stimulants and nonstimulants.
“The disparity in their responses indicates the presence of distinct pathways in the brain for stimulants and nonstimulants.”
Quote in the paperSubstantial claim - Study design and conductcitation
Various protocol designs of the included studies with both randomized controlled and cross-sectional trials may also contribute to the heterogeneity.
“various protocol designs of the included studies with both randomized controlled and cross-sectional trials may also contribute to the heterogeneity”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ma, 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Rests on an assumption: Pooling randomized controlled and cross-sectional trials yields interpretable medication effects.
- Interpretationnone given
This study is the first to focus on the overlapping and comparative neuropharmacological mechanisms of stimulants and nonstimulants for ADHD in a meta-analytical approach.
“This study, to the best of our knowledge, is the first to focus on the overlapping and comparative neuropharmacological mechanisms of stimulants and nonstimulants for ADHD in a meta-analytical approach.”
Quote in the paperNot a substantial claim - Interpretationown data
This may suggest better therapeutic effects on emotion regulation in ADHD males with nonstimulant use.
“which may suggest better therapeutic effects on emotion regulation in ADHD males with nonstimulant use.”
Quote in the paperSubstantial claim - Study design and conductnone given
The source of heterogeneity was still noticeable, as most included studies evaluated cognitive control function, while others measured working memory and attention problems.
“the source of heterogeneity was still noticeable, as most included studies evaluated cognitive control function, while others measured working memory and attention problems.”
Quote in the paperNot a substantial claim - Interpretationown data
Nonstimulants may have better treatment responses in refining affective stability in ADHD adults as informed by neuroimaging findings in the amygdala.
“they may have better treatment responses to nonstimulants in refining affective stability as informed by our neuroimaging findings in the amygdala”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wang, Zuo, Xu, Hao, & Zhang, 2021
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Aberrant activation patterns of the amygdala in ADHD individuals suggest related deficits in emotional processing, control of impulsivity and reward sensitivity.
“aberrant activation patterns of the amygdala in ADHD individuals suggest related deficits in emotional processing, control of impulsivity and reward sensitivity”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Gallagher & Chiba, 1996 source
- cites van Hulst et al., 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Classified as probably not a substantial claim. 19
- May combine two claims. 25
Classified as probably not a substantial claim.
PremisecitationIt remains unknown whether dissociable therapeutic responses to medications are mediated by shared or distinct neural underpinnings.
“However, it remains unknown whether dissociable therapeutic responses to medications are mediated by shared or distinct neural underpinnings”
Quote in the paperSubstantial claim1 of 3 sources checked- cites Chou, Chia, Shang, & Gau, 2015 source
- cites Schulz et al., 2012 source
The Results (Neural Correlates of Symptomatic Improvement; page unavailable) report both common and unique changes in neural activation associated with improvement under atomoxetine and methylphenidate. The Comment likewise identifies a common motor-cortex mechanism and distinct frontoparietal mechanisms in youth with ADHD. For these medications and this population, the paper addresses rather than leaves unknown whether the neural underpinnings are shared or distinct. (LLM, conf=0.86)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites Smith et al., 2013 source
May combine two claims.
PremisecitationAge and sex influence the effectiveness of medication treatment.
“At the same time, the factors of age and sex also complicate individual medication selection as they influence the effectiveness of medication treatment (Childress, Newcorn, & Cutler, 2019; Dafny & Yang, 2006; Wigal, Kollins, Childress, & Adeyi, 2010).”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites Childress, Newcorn, & Cutler, 2019 source
The Conclusion (page not provided) says boys and girls with ADHD responded equally well to racemic amphetamine sulfate, with comparable onset and duration of effect. The Results found no significant or consistent difference in effect size by gender, apart from isolated treatment-by-gender interactions at 2 hours. The paper does not establish that age influences treatment effectiveness. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites Dafny & Yang, 2006
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Wigal, Kollins, Childress, & Adeyi, 2010 source
The Background describes mixed evidence on whether age and sex moderate ADHD medication response, including a study reporting sex differences in response to methylphenidate. But this paper’s Discussion (Effects of age; Effects of Sex, pages unavailable) says both age groups responded to lisdexamfetamine and found no consistent treatment-by-sex interactions. It therefore does not establish the broad claim that both factors influence medication effectiveness or complicate individual medication selection. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationADHD is characterized by problems of inattention, impulsivity, and hyperactivity.
“attention-deficit/hyperactivity disorder (ADHD) is characterized by problems of inattention, impulsivity, and hyperactivity (Battle, 2013)”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Battle, 2013 source
The passage listing DSM-V neurodevelopmental disorders names Attention Deficit/Hyperactivity Disorder but does not describe its symptoms. Searches for inattention, impulsivity, hyperactivity, and ADHD diagnostic criteria found no passage in our copy that characterizes ADHD as the claim does. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe systematic review and meta-analysis followed PRISMA guidelines.
“This preregistered systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (Moher, Liberati, Tetzlaff, & Altman, 2009).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Moher, Liberati, Tetzlaff, & Altman, 2009 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPsychostimulants, such as methylphenidate, are widely prescribed to ameliorate ADHD symptoms, at least in improving attention span and reducing distractibility.
“Psychostimulants, such as methylphenidate, are widely prescribed to ameliorate ADHD symptoms, at least in improving attention span and reducing distractibility (Janssen et al., 2016).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Janssen et al., 2016 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationA Jackknife analysis was performed to assess the robustness of the main findings.
“To assess the robustness of our main findings, we performed a Jackknife analysis, which consists of repeating the statistical analyses by discarding one study each time, thus demonstrating the stability of the results (Müller et al., 2018).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Müller et al., 2018 source
May combine two claims.
InterpretationcitationThe normalization of SMA activation patterns may correspond directly to drug action given the massive presence of DAT and NET expression in the motor cortex, while also being associated with indirect and downstream effects modulated by responses of the prefrontal cortex.
“The normalization of SMA activation patterns may correspond directly to drug action given the massive presence in DAT and NET expression in the motor cortex, while also being associated with indirect and downstream effects modulated by responses of the prefrontal cortex”
Quote in the paperSubstantial claim2 of 3 sources checked- cites Lewis et al., 2001
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Peterson et al., 2009 source
Split into 2 atoms — 0 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites Schulz et al., 2012 source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationAbnormalities of the anterior cingulate cortex and supplementary motor area regions were normalized along with improved capacity of self-regulatory control in stimulant treatment.
“Due to localized effects at DAT sites corresponding to the action of stimulants (Ciliax et al., 1999; Schou et al., 2005), abnormalities of the anterior cingulate cortex (ACC) and supplementary motor area (SMA) regions were normalized along with improved capacity of self-regulatory control (Baldaçara, Borgio, De Lacerda, & Jackowski, 2008; Fan, McCandliss, Fossella, Flombaum, & Posner, 2005; Posn”
Quote in the paperSubstantial claim2 of 3 sources checked- cites Baldaçara, Borgio, De Lacerda, & Jackowski, 2008 source
Section 6 (Attention deficit hyperactivity disorder; page unavailable) reports anterior cingulate cortex abnormalities in adults with ADHD. It does not report supplementary motor area abnormalities or improved self-regulatory control with stimulant treatment. The section says the brain-volume findings it discusses appeared unrelated to stimulant treatment, so it does not support the claimed treatment-related normalization. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites Fan, McCandliss, Fossella, Flombaum, & Posner, 2005 source
- cites Rubia et al., 2014 source
The Results (Normalization Effects; page not provided) report that methylphenidate eliminated the SMA activation difference from controls in a timing task, but a smaller ACC difference remained. The same section reports faster stop-signal responses under methylphenidate, while the Discussion notes that only some studies found performance improvements. The source therefore supports some neural and behavioral effects, but not full normalization of both regions alongside a general improvement in self-regulatory control. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
InterpretationreasoningThe shared and distinct substrates of stimulant and nonstimulant effects may delineate a novel therapeutic target for effective interventions and could account for different therapeutic responses to stimulants and nonstimulants among individuals with ADHD.
“These shared and distinct substrates may delineate a novel therapeutic target for effective interventions and could account for different therapeutic responses to stimulants and nonstimulants among individuals with ADHD”
Quote in the paperSubstantial claim1 of 2 sources checkedMay combine two claims.
PremisecitationNonstimulants have downstream effects that modulate activation patterns of frontoparietal regions through extracellular catecholamine and indirect effects that regulate brain connectivity patterns of the central executive network and default mode network.
“Besides, they also have downstream effects that modulate the activation patterns of frontoparietal regions through extracellular catecholamine and indirect effects that regulate the brain connectivity patterns of the central executive network and default mode network (Borchert et al., 2019; Farr et al., 2014; Lin & Gau, 2015; Schulz et al., 2012; Shafritz et al., 2004).”
Quote in the paperSubstantial claim3 of 3 sources checked- cites Borchert et al., 2019 source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites Farr et al., 2014 source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites Lin & Gau, 2015 source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
InterpretationcitationStimulants may improve cingulate dysfunction through bidirectional remediation by dopaminergic modulation, and the DA system controlled by cholinergic receptors in the MCC is a likely target.
“the normalization effects of stimulants aligning with the underactivity of MCC echoes previous evidence that stimulants may improve cingulate dysfunction through bidirectional remediation by dopaminergic modulation, and the DA system controlled by cholinergic receptors in the MCC is a likely target”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Murray et al., 2019 source
The Discussion (page not provided) reports that dopaminergic drugs reduced exaggerated anterior cingulate prediction-error responses in patients with OCD. The study used pramipexole and amisulpride, not stimulants, and does not identify cholinergic receptors in the MCC as a target. It also concerns anterior cingulate overactivity rather than MCC underactivity. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Vogt, 2019 source
May combine two claims.
PremisecitationStimulants and nonstimulants act to alter the abnormal neural responses in ADHD patients through α2-adrenergic and dopamine D1 receptors to improve cognitive functions through the reactivity of the prefrontal cortex based on its high sensitivity to catecholamines.
“stimulants and nonstimulants act to alter the abnormal neural responses in ADHD patients through α2-adrenergic and dopamine D1 receptors to improve cognitive functions through the reactivity of the prefrontal cortex based on its high sensitivity to catecholamines”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Gamo, Wang, & Arnsten, 2010 source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites Schulz et al., 2012 source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
FindingcitationIn the ADHD group with nonstimulants, activation in the right caudate was inhibited, unlike stimulant action in the same region.
“In the ADHD group with nonstimulants, activation in the right caudate was inhibited, unlike stimulant action in the same region”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Rubia et al., 2014 source
The Discussion (page unavailable) says methylphenidate enhanced caudate activation during inhibition, supporting the stimulant side of the comparison. The paper does not report that nonstimulants inhibited right caudate activation in ADHD; its meta-analysis compares stimulants with placebo or off-medication, not with nonstimulants. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe MCC is considered a key area of emotion and cognition processing and subserves bottom-up attention diversion.
“the MCC is considered a key area of emotion and cognition processing and subserves bottom-up attention diversion”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites Emond, Joyal, & Poissant, 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Rolls, 2019 source
The section on the midcingulate cortex (page unavailable) links it to emotion, action–outcome learning, error monitoring, and modulation of executive regions that direct attention. It does not describe the MCC as subserving bottom-up attention diversion; the attention passage instead concerns goal and feedback information modulating executive regions. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites Vossel, Geng, & Fink, 2014 source
The section “Reorienting Responses and Filtering in the Ventral System” discusses stimulus-driven attention, but does not assign that function to the MCC. Searches for “MCC,” “midcingulate,” and emotion-and-cognition processing found no passage in our copy addressing the claimed role of the MCC; page numbers were not available. (LLM, conf=0.76)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationStimulants act on the amygdala, which is distributed with monoamine transporters, and strengthen the current of cortico-amygdala synapses, which enhance emotional memory retention and learning performance.
“stimulants act on the amygdala, which is distributed with monoamine transporters (i.e. DAT and NET inhabitation) and strengthen the current of cortico-amygdala synapses, which enhance emotional memory retention and learning performance”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Smith & Porrino, 2008 source
- cites Tye et al., 2010 source
The Results and Discussion (page not available) show that methylphenidate and a selective DAT inhibitor strengthen cortico-amygdala synapses and improve cue-reward learning performance in rats. They distinguish this acute effect from the improved memory retention observed with NET inhibition; the paper does not show that synaptic strengthening enhances emotional memory retention. The claim also generalizes findings about methylphenidate and specific inhibitors to stimulants broadly. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataNineteen stimulant-specific and nine nonstimulant-specific studies were included.
“In total, 19 studies specific to stimulants and 9 studies specific to nonstimulants were included after a systematic literature search”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenThe treatment responses to stimulants and nonstimulants showed inverse activation patterns in the amygdala, MCC and SFG for ADHD individuals, and the distinct patterns mainly overlaid brain networks of the VAN and AFN.
“The treatment responses to stimulants and nonstimulants showed inverse activation patterns in the amygdala, MCC and SFG for ADHD individuals, and the distinct patterns mainly overlaid brain networks of the VAN and AFN.”
Quote in the paperSubstantial claim- Rests on an assumption: The brain networks (VAN, AFN, CEN) used to interpret the findings are valid constructs.
May combine two claims.
Findingown dataSubgroup analysis on children with ADHD yielded consistent findings in the increased activation in the left cerebellum induced by stimulants and the reduced activation in the left SFG induced by nonstimulant compared to the pooling findings.
“Subgroup analysis on children with ADHD yielded consistent findings in the increased activation in the left cerebellum induced by stimulants and the reduced activation in the left SFG induced by nonstimulant compared to our pooling findings.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataEgger's tests revealed no potential publication bias in the separate analysis of the stimulant group, and funnel plots were symmetric across all clusters.
“Egger's tests revealed no potential publication bias (p > 0.10) identified in the separate analysis of the stimulant group, and funnel plots were found to be symmetric across all clusters (Online Supplementary Table S2).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationAES-SDM is a statistical technique and toolbox to identify neural abnormalities on account of voxel-based neuroimaging meta-analysis.
“AES-SDM is a statistical technique and toolbox to identify neural abnormalities on account of voxel-based neuroimaging meta-analysis (Zhao, Yang, Gong, Cao, & Liu, 2022).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Zhao, Yang, Gong, Cao, & Liu, 2022
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationAll included studies were evaluated with a 12-point Imaging Methodology Quality Assessment Checklist.
“We evaluated all included studies with a 12-point Imaging Methodology Quality Assessment Checklist for their quality and limitations to infer the importance of those findings (Shepherd, Matheson, Laurens, Carr, & Green, 2012)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Shepherd, Matheson, Laurens, Carr, & Green, 2012 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationADHD approximately affects 84.7 million individuals worldwide.
“which approximately affect 84.7 million individuals worldwide (Collaborators, 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Collaborators, 2020
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationFor individuals who respond poorly to stimulants, nonstimulant alternatives may be considered, including norepinephrine modulators like atomoxetine and certain antidepressants such as bupropion.
“For individuals who respond poorly to stimulants, nonstimulant alternatives may be considered, including norepinephrine modulators like atomoxetine and certain antidepressants such as bupropion. (Mechler, Banaschewski, Hohmann, & Häge, 2022).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Mechler, Banaschewski, Hohmann, & Häge, 2022 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe seven brain networks used in large-scale network analysis represent a typical integration and segmentation of cerebral functional parcellation.
“We dropped those identified clusters to seven brain networks that represent a typical integration and segmentation of the cerebral functional parcellation, including the default mode network (DMN), dorsal attention network (DAN), central executive network (CEN), affective network (AFN), sensorimotor network (SMN), ventral attention network (VAN), and visual network (VN) (Yeo et al., 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Yeo et al., 2011 source
May combine two claims.
InterpretationreasoningThese findings documented similarities in the neural pharmacological effects of stimulants and nonstimulants, which refined the understanding of brain alterations from medication effects that lead to the shared efficacy of both classes of ADHD medications.
“These findings documented similarities in the neural pharmacological effects of stimulants and nonstimulants, which refined the understanding of brain alterations from medication effects that lead to the shared efficacy of both classes of ADHD medications.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe research protocol was pre-registered on the Open Scientific Framework before obtaining datasets.
“We pre-registered the research protocol on the Open Scientific Framework (https://osf.io/65vn4, registration DOI: https://doi.org/10.17605/OSF.IO/65VN4) before obtaining datasets.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenThe literature search was systematically and comprehensively conducted in PubMed, Medline and Web of Science before May 8, 2022.
“The literature search was systematically and comprehensively conducted in the PubMed, Medline and Web of Science databases before May 8, 2022”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationApproximately 56% of ADHD cases may achieve clinical improvement with stimulants, while 45% of cases achieve so with non-stimulants.
“approximately 56% of ADHD cases may achieve clinical improvement with stimulants, while 45% of cases achieve so with non-stimulants (Mechler et al., 2022; Newcorn et al., 2008).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationFunnel plots and Egger's test were used to detect potential publication biases.
“We used funnel plots and Egger's test to detect potential publication biases (Egger, Davey Smith, Schneider, & Minder, 1997; Peters, Sutton, Jones, Abrams, & Rushton, 2008).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningThe neuroimaging findings may have implications for individualized medication strategies and enhance treatment response by precisely matching therapeutic targets.
“Our neuroimaging findings may have implications for individualized medication strategies and enhance treatment response by precisely matching therapeutic targets.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe convergence of psychostimulant and nonstimulant effects on the left SMA may delineate a novel therapeutic target for effective interventions for ADHD, and these distinct neural substrates could account for individual differences in therapeutic responses.
“The convergence of psychostimulant and nonstimulant effects on the left SMA may delineate a novel therapeutic target for effective interventions for ADHD, and these distinct neural substrates could account for individual differences in therapeutic responses.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe authors were unable to obtain clinical ratings to speculate treatment responses of ADHD medications based on reanalyzed neuroimaging datasets.
“we were unable to obtain clinical ratings to speculate treatment responses of ADHD medications based on reanalyzed neuroimaging datasets”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe SMA sends its output to the primary motor cortex to produce motor sequences.
“SMA sends its output to the primary motor cortex to produce motor sequences”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Côté, Elgbeili, Quessy, & Dancause, 2020
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Dum & Strick, 2002 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe AFN (also called the limbic system) has long been regarded as having an integral role in emotion-based decision-making, reward and motivation.
“The AFN (also called the limbic system) has long been regarded as having an integral role in emotion-based decision-making, reward and motivation”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationLongitudinal studies on ADHD patients reported age-dependent amelioration of symptoms of hyperactivity, and those adults may develop hypo-responsiveness or resistance to psychostimulants induced by specified developmental trajectories.
“Longitudinal studies on ADHD patients reported age-dependent amelioration of symptoms of hyperactivity, and those adults may develop hypo-responsiveness or resistance to psychostimulants induced by specified developmental trajectories”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationThe SMA acts as a top-down hub that integrates information from the parietal and frontal lobes, corresponding to task selection and behavior control of CEN functioning.
“SMA acts as a top-down hub that integrates information from the parietal and frontal lobes”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bari & Robbins, 2013 source
May combine two claims.
PremisecitationBoth stimulant and nonstimulant medications used for ADHD have been shown to decrease cortical inhibition and increase cortical facilitation in the SMA.
“Both stimulant and nonstimulant medications used for ADHD have been shown to decrease cortical inhibition and increase cortical facilitation in the SMA”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Gilbert et al., 2006 source
May combine two claims.
InterpretationcitationReduced activations of the right SMA play a role in compensatory mechanisms in ADHD adults and they may not need the intervention of stimulants to improve hyperactivity deficits.
“suggesting that reduced activations of the right SMA play a role in compensatory mechanisms in ADHD adults and that they may not need the intervention of stimulants to improve hyperactivity deficits”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hart, Radua, Nakao, Mataix-Cols, & Rubia, 2013 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe neuropharmacological pathways of nonstimulants are notably diverse, yet they all converge on targeting the norepinephrine transporter in some capacity for the treatment of ADHD.
“the neuropharmacological pathways of nonstimulants are notably diverse, yet they all converge on targeting the norepinephrine transporter in some capacity for the treatment of ADHD”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Newcorn, Krone, & Dittmann, 2022 source
The paper relies on this without support.
Psychostimulants exert their therapeutic effects as indirect catecholamine agonists by blocking the dopamine transporter (DAT) and norepinephrine transporter (NET), and atomoxetine is a selective NET inhibitor.
“From a neurobiological perspective, psychostimulants exert their therapeutic effects as indirect catecholamine agonists by blocking the dopamine transporter (DAT) and norepinephrine transporter (NET), and atomoxetine, the most commonly used nonstimulant for ADHD treatment, is a selective NET inhibitor.”
The paper relies on this without support.
Treatment with methylphenidate and atomoxetine produces clinical improvement for ADHD via both common and divergent neurophysiologic actions in frontoparietal regions.
“Functional magnetic resonance imaging (fMRI) studies have found that treatment with methylphenidate and atomoxetine produces clinical improvement for ADHD via both common and divergent neurophysiologic actions in frontoparietal regions.”
The paper relies on this without support.
Psychostimulants work by increasing levels of specific neurotransmitters in the brain, especially dopamine and norepinephrine.
“These medications work by increasing levels of specific neurotransmitters in the brain, especially dopamine and norepinephrine.”
The paper relies on this without support.
Individualized management for ADHD cases in clinical settings is still hard to achieve due to the elusive neuropsychological mechanisms of first-line medications.
“However, individualized management for ADHD cases in clinical settings is still hard to achieve due to the elusive neuropsychological mechanisms of first-line medications.”
The paper relies on this without support.
The lack of evidence linking pharmacologic actions to neural correlates and therapeutic improvement provides limited opportunity to understand how these medications work in the brain.
“The lack of evidence linking pharmacologic actions to neural correlates and therapeutic improvement provides limited opportunity to understand how these medications work in the brain, which is an essential step in developing targeted approaches to treatment.”
The paper relies on this without support.
Pooling neuroimaging studies that used different cognitive tasks (cognitive control, working memory, attention) yields interpretable medication effects.
“most included studies evaluated cognitive control function, while others measured working memory and attention problems”
The paper relies on this without support.
Pooling randomized controlled and cross-sectional trials yields interpretable medication effects.
“various protocol designs of the included studies with both randomized controlled and cross-sectional trials may also contribute to the heterogeneity”
The paper relies on this without support.
The brain networks (VAN, AFN, CEN) used to interpret the findings are valid constructs.
“These regions are distributed within the VAN (%RD: 15.08%, Table 2 and Fig. 2).”
“the distinct patterns mainly overlaid brain networks of the VAN and AFN.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Out of the nine meta-analyzed fMRI studies that examined non-stimulants, eight studies tested atomoxetine and only one study tested guanfacine.
“However, out of the nine meta-analyzed fMRI studies that examined non-stimulants, eight studies tested atomoxetine and only one study tested guanfacine.”
From Differential effects of a single dose of Lisdexamfetamine and Guanfacine on cognitive function in children with ADHD (2025) · cites this paper as [93]
The Results (‘Included studies and sample characteristics’; page unavailable) report nine nonstimulant studies, but Table 1 lists one fluoxetine study as well as the guanfacine study. It lists seven distinct atomoxetine studies; Fan et al. (2017) appears twice for different tasks. The claimed eight-atomoxetine, one-guanfacine breakdown therefore omits fluoxetine and counts Fan twice. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredTailoring pharmacotherapy to comorbidity patterns (anxiety, insomnia, cardiovascular disease) enhances both safety and efficacy.
“Tailoring pharmacotherapy to comorbidity patterns—such as anxiety, insomnia, or cardiovascular disease—enhances both safety and efficacy [155,158].”
From ADHD in Adulthood: Clinical Presentation, Comorbidities, and Treatment Perspectives (2025) · cites this paper as [158]
The Introduction and Conclusion (pages unavailable) suggest that neuroimaging findings may inform individualized ADHD medication strategies and improve treatment response. They do not address tailoring treatment to anxiety, insomnia, or cardiovascular disease, assess safety, or show that such tailoring enhances efficacy. (LLM, conf=0.83)
Experimental — accuracy not yet measuredA recent fMRI comparative meta-analysis of 29 fMRI studies of stimulants (20 studies) and non-stimulants (9 studies) showed overlapping but also differential drug effects.
“Furthermore, a recent fMRI comparative meta-analysis of 29 fMRI studies of stimulants (20 studies) and of non-stimulants (9 studies) showed overlapping but also differential drug effects.”
From Differential effects of a single dose of Lisdexamfetamine and Guanfacine on cognitive function in children with ADHD (2025) · cites this paper as [93]
The Results (Included studies and sample characteristics; page unavailable) report 19 stimulant studies and 9 nonstimulant studies, for 28 studies—not 20 and 9, for 29. The Discussion reports overlapping and distinct effects on brain activation, so the substantive finding is supported, but the study counts are not. (LLM, conf=0.92)
Experimental — accuracy not yet measuredNon-stimulants on their own reduced left prefrontal and caudate activations.
“Non-stimulants on their own reduced left prefrontal and caudate activations which could potentially be an underlying mechanism for the here observed worsening of cognitive attention measures of RTV (and eventual sustained attention) with guanfacine.”
From Differential effects of a single dose of Lisdexamfetamine and Guanfacine on cognitive function in children with ADHD (2025) · cites this paper as [93]
The Results section (‘Stimulant- and nonstimulant-specific brain effects’; page unavailable) reports reduced activation in the left superior frontal gyrus, a prefrontal region, and the right caudate in ADHD youth receiving nonstimulants. If ‘left’ modifies both regions in the claim, the caudate laterality is incorrect: the paper reports the right caudate, not the left. The proposed link to worsening attention with guanfacine is the citing authors’ speculation, not a finding attributed to this source. (LLM, conf=0.88)
Experimental — accuracy not yet measuredIn the meta-analysis, both drugs normalized left SMA activation which overlapped with regions of the central executive control, but only non-stimulants normalized regions of the ventral attention and limbic systems (i.e. left superior frontal and mid-cingulate cortices and left amygdala).
“While both drugs normalized left SMA activation which overlapped with regions of the central executive control, only non-stimulants normalized regions of the ventral attention and limbic systems (i.e. left superior frontal and mid-cingulate cortices and left amygdala).”
From Differential effects of a single dose of Lisdexamfetamine and Guanfacine on cognitive function in children with ADHD (2025) · cites this paper as [93]
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Not confirmedz = 1.21reported p < .0001 · recomputed p = .226
“(Z = 1.21, p < .0001”
- Not confirmedz = 1.3reported p = .0006 · recomputed p = .194
“(Z = 1.30, p = .0006”
- Not confirmedz = 1.22reported p = .0008 · recomputed p = .222
“(Z = 1.22, p = .0008”
- Not confirmedz = 1.27reported p = .0006 · recomputed p = .204
“(Z = 1.27, p = .0006”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Shared left SMA effect is described with opposite directions
MinorThe Results describe the shared stimulant and nonstimulant effect as increased left SMA activation, whereas the Discussion calls the overlapping effect inhibited activation.
“Normalization effects of stimulant or nonstimulant administration for ADHD converged on increased activation patterns of the left SMA”
“the overlapping mechanism between the neuropharmacological effects of stimulants and nonstimulants was mapped in the inhibited activation patterns of the left SMA”
Right SMA Z value differs between Results and Table 2
MinorThe medication-specific Results give Z = 1.226 for the right SMA cluster at 18, −6, 68; Table 2 gives Z = 1.266 for the same cluster.
“right SMA (peak coordinates: 18, −6, 68; Z = 1.226; cluster size = 152)”
“| R supplementary motor area | 6 | 18, −6, 68 | 1.266 | 0.0007 | 152 |”
Subcluster counts exceed the reported cluster size
MinorThe three listed subclusters contain 402 voxels in total, exceeding the reported 356-voxel cluster.
Reported 356 · recomputed 402
“| L supplementary motor area | 6/8 | −2, 20, 50 | −1.307 | 0.0013 | 356 | L supplementary motor area (281)R supplementary motor area (105)L superior frontal gyrus (16) |”
Abstract misreports the superior frontal gyrus statistics
MinorThe abstract assigns the superior frontal gyrus Z = 1.27 and p = 0.0006, but Table 2 reports Z = 1.243 and p = 0.0007 for that region.
“superior frontal gyrus (Z = 1.27, p = 0.0006)”
“| L superior frontal gyrus | 9 | −22, 44, 38 | 1.243 | 0.0007 | 68 |”
Nonstimulant cingulate peak has conflicting z-coordinates
MinorThe Results place the 2557-voxel nonstimulant cingulate cluster's peak at z = −10, while Table 2 places it at z = 16.
“left MCC (extending to bilateral SMA, peak coordinates: 6, 26, −10; Z = −1.808; cluster size = 2557)”
“| L anterior/middle cingulate gyrus (extending to bilateral supplementary motor area) | 23/24/32 | 6, 26, 16 | −1.808 | <0.0001 | 2557 |”
Cluster-size inclusion thresholds conflict
MinorThe Methods say medication-specific clusters were counted only if they exceeded 10 voxels, but Table 2 states that suprathreshold clusters required more than 20 voxels.
“For medication-specific analysis, we employed p < 0.005 as the threshold, and only clusters over 10 voxels were counted”
“Suprathreshold clusters were identified at p < 0.005 and cluster size >20 voxels.”
Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000097 · Cited by 64,042 · cited 1× · see citing works
“This pre-registeredsystematic reviewand meta-analysis followedthe Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (Moher, Liberati, Tetzlaff, & Altman, 2009).”
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722 · cited 1× · see citing works
“We used funnel plots and Egger ’ s test to detect potential publication biases (Egger, Davey Smith, Schneider, & Minder, 1997; Peters, Sutton, Jones, Abrams, & Rushton, 2008).”
Vos, T., Lim, S. S., Abbafati, C., Abbas, K. M., Abbasi, M., Abbasifard, M., Abbasi-Kangevari, M., Abbastabar, H., Abd-Allah, F., Abdelalim, A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30925-9 · Cited by 19,358 · cited 1× · see citing works
“As one of the most common neurodevelopmental disorders, attention-deficit/hyperactivity disorder (ADHD) is characterized by problems of inattention, impulsivity, and hyperactivity (Battle, 2013), which approximately affect 84.7 million individuals worldwide (Collaborators, 2020).”
InfluentialThe organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182 · cited 1× · see citing works
“…and segmentation of the cerebral functional parcellation, including the default mode network (DMN), dorsal attention network (DAN), central executive network (CEN), affective network (AFN), sensorimotor network (SMN), ventral attention network (VAN), and visual network (VN) (Yeo et al., 2011).”
LeDoux, J. E. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.155 · Cited by 8,444 · cited 1× · see citing works
“The AFN (also called the Psychological Medicine limbic system) has long been regarded as having an integral role in emotion-based decision-making, reward and motivation (LeDoux, 2000; Phelps, 2006).”
Contributions of the Amygdala to Emotion Processing: From Animal Models to Human Behavior
Phelps, E. A., & LeDoux, J. E. (2005) · Neuron · doi:10.1016/j.neuron.2005.09.025 · Cited by 3,203 · cited 1× · see citing works
“…activation alterations was found in the left amygdala in nonstimulant cases, indicating that nonstimulants may have better inhibitory effects on abnormal affective processes in ADHD adults relative to youth (Aggleton, 1993; Phelps & LeDoux, 2005; Winstanley, Theobald, Cardinal, & Robbins, 2004).”
Peters, J. L., Sutton, A. J., Jones, D. R., Abrams, K. R., & Rushton, L. (2008) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2007.11.010 · Cited by 2,053 · cited 1× · see citing works
“We used funnel plots and Egger ’ s test to detect potential publication biases (Egger, Davey Smith, Schneider, & Minder, 1997; Peters, Sutton, Jones, Abrams, & Rushton, 2008).”
Inhibition and impulsivity: behavioral and neural basis of response control
Bari, A., & Robbins, T. W. (2013) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.06.005 · Cited by 1,921 · cited 1× · see citing works
“When accounting for the psychological processing of behavioral inhibition, SMA acts as a top-down hub that integrates information from the parietal and frontal lobes (Bari & Robbins, 2013), corresponding to task selection and behavior control of CEN functioning.”
Emotion and Cognition: Insights from Studies of the Human Amygdala
Phelps, E. A. (2006) · Annual Review of Psychology · doi:10.1146/annurev.psych.56.091103.070234 · Cited by 1,798 · cited 1× · see citing works
“The AFN (also called the Psychological Medicine limbic system) has long been regarded as having an integral role in emotion-based decision-making, reward and motivation (LeDoux, 2000; Phelps, 2006).”
The activation of attentional networks
FAN, J., MCCANDLISS, B., FOSSELLA, J., FLOMBAUM, J., & POSNER, M. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.004 · Cited by 1,737 · cited 1× · see citing works
“…motor area (SMA) regions were normalized along with improved capacity of self-regulatory control (Baldaçara, Borgio, De Lacerda, & Jackowski, 2008; Fan, McCandliss, Fossella, Flombaum, & Posner, 2005; Posner, Rothbart, Sheese, & Tang, 2007; Rubia et al., 2014; Stray, Ellertsen, & Stray, 2010),…”
Battle, D. E. (2013) · CoDAS · doi:10.1590/s2317-17822013000200017 · Cited by 1,569 · see citing works
Biederman, J. (2000) · American Journal of Psychiatry · doi:10.1176/appi.ajp.157.5.816 · Cited by 1,498 · cited 1× · see citing works
“…hyperactivity, and those adults may develop hypo-responsiveness or resistance to psychostimulants induced by specified developmental trajectories (Biederman, Mick, & Faraone, 2000; Rubia et al., 2000; Santosh & Taylor, 2000), suggesting that reduced activations of the right SMA play a role in…”
Dorsal and Ventral Attention Systems: Distinct Neural Circuits but Collaborative Roles
Vossel, S., Geng, J. J., & Fink, G. R. (2014) · The Neuroscientist · doi:10.1177/1073858413494269 · Cited by 1,438 · see citing works
Cuthbert, B. N. (2014) · World Psychiatry · doi:10.1002/wps.20087 · Cited by 1,377 · cited 1× · see citing works
“The task and corresponding Research Domain Criteria (RDoC) construct and domain were labeled for each included fMRI study (Cuthbert, 2014; Janiri et al., 2020; Pan et al., 2022) (approach to coding task experiments in Online Supplementary Appendix 2).”
Emotion Dysregulation in Attention Deficit Hyperactivity Disorder
Shaw, P., Stringaris, A., Nigg, J., & Leibenluft, E. (2014) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2013.13070966 · Cited by 1,232 · cited 1× · see citing works
“Emotional dysregulation is more prevalent in ADHD adults relative to adolescents (Shaw, Stringaris, Nigg, & Leibenluft, 2014), and they may have better treatment responses to nonstimulants in refining affective stability as informed by our neuroimaging findings in the amygdala (Wang, Zuo, Xu, Hao,…”
Bymaster, F. (2002) · Neuropsychopharmacology · doi:10.1016/s0893-133x(02)00346-9 · Cited by 1,123 · cited 1× · see citing works
“…non-stimulants may improve the top-down guidance of attention, thought and working memory in those with ADHD via direct effects on NET in the prefrontal cortex (Borchert et al., 2019; Bymaster et al., 2002; Lin & Gau, 2015; Mechler et al., 2022; Morón, Brockington, Wise, Rocha, & Hope, 2002).”
Toward systems neuroscience of ADHD: a meta-analysis of 55 fMRI studies
Cortese, S., Kelly, C., Chabernaud, C., Proal, E., Di Martino, A., Milham, M. P., & Castellanos, F. X. (2012) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2012.11101521 · Cited by 1,067 · cited 1× · see citing works
“Functional hypoactivation and volumetric reduction of the SMA constitute the psychopathological model of ADHD underlying excessively impulsive actions (Cortese et al., 2012; Jarczok, Haase, Bluschke, Thiemann, & Bender, 2019).”
A meta-analysis of structural brain abnormalities in PTSD
KARL, A., SCHAEFER, M., MALTA, L., DORFEL, D., ROHLEDER, N., & WERNER, A. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.03.004 · Cited by 881 · cited 1× · see citing works
“…neuropharmacological alterations were delineated, as youth seen with stimulants showed more reduced neural responses in the right SMA relative to adults, implying they may have a higher sensitivity to stimulants to improve excessive involuntary movements (Carucci et al., 2021; Karl et al., 2006).”
Voxel-wise meta-analysis of grey matter changes in obsessive-compulsive disorder
Radua, J., & Mataix-Cols, D. (2009) · British Journal of Psychiatry · doi:10.1192/bjp.bp.108.055046 · Cited by 863 · cited 1× · see citing works
“For medication-specific analysis, we employed p < 0.005 as the threshold, and only clusters over 10 voxels were counted (Radua et al., 2012; Radua & Mataix-Cols, 2009).”
InfluentialThe cingulate cortex and limbic systems for emotion, action, and memory
Rolls, E. T. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01945-2 · Cited by 859 · cited 1× · see citing works
“Underactivated MCC in ADHD individuals may be construed as connected with the core symptom of inattention (Emond, Joyal, & Poissant, 2009; Rolls, 2019; Vossel, Geng, & Fink, 2014).”
Ten simple rules for neuroimaging meta-analysis
Müller, V. I., Cieslik, E. C., Laird, A. R., Fox, P. T., Radua, J., Mataix-Cols, D., Tench, C. R., Yarkoni, T., Nichols, T. E., Turkeltaub, P. E., et al. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.11.012 · Cited by 805 · cited 1× · see citing works
“To assess the robustness of our main findings, we performed a Jackknife analysis, which consists of repeating the statistical analyses by discarding one study each time, thus demonstrating the stability of the results (Müller et al., 2018).”
Radua, J., Mataix-Cols, D., Phillips, M. L., El-Hage, W., Kronhaus, D. M., Cardoner, N., & Surguladze, S. (2012) · European Psychiatry · doi:10.1016/j.eurpsy.2011.04.001 · Cited by 765 · cited 1× · see citing works
“For medication-specific analysis, we employed p < 0.005 as the threshold, and only clusters over 10 voxels were counted (Radua et al., 2012; Radua & Mataix-Cols, 2009).”
InfluentialHart, H., Radua, J., Nakao, T., Mataix-Cols, D., & Rubia, K. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.277 · Cited by 764 · see citing works
Morón, J. A., Brockington, A., Wise, R. A., Rocha, B. A., & Hope, B. T. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-02-00389.2002 · Cited by 681 · cited 1× · see citing works
“…non-stimulants may improve the top-down guidance of attention, thought and working memory in those with ADHD via direct effects on NET in the prefrontal cortex (Borchert et al., 2019; Bymaster et al., 2002; Lin & Gau, 2015; Mechler et al., 2022; Morón, Brockington, Wise, Rocha, & Hope, 2002).”
Contrasting Roles of Basolateral Amygdala and Orbitofrontal Cortex in Impulsive Choice
Winstanley, C. A., Theobald, D. E. H., Cardinal, R. N., & Robbins, T. W. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.5606-03.2004 · Cited by 675 · cited 1× · see citing works
“…activation alterations was found in the left amygdala in nonstimulant cases, indicating that nonstimulants may have better inhibitory effects on abnormal affective processes in ADHD adults relative to youth (Aggleton, 1993; Phelps & LeDoux, 2005; Winstanley, Theobald, Cardinal, & Robbins, 2004).”
Motor areas in the frontal lobe of the primate
DUM, R., & STRICK, P. (2002) · Physiology & Behavior · doi:10.1016/s0031-9384(02)00929-0 · Cited by 653 · cited 1× · see citing works
“As part of the premotor area, SMA sends its output to the primary motor cortex to produce motor sequences (Côté, Elgbeili, Quessy, & Dancause, 2020; Dum & Strick, 2002).”
Functional frontalisation with age: mapping neurodevelopmental trajectories with fMRI
Rubia, K., Overmeyer, S., Taylor, E., Brammer, M., Williams, S. C. R., Simmons, A., Andrew, C., & Bullmore, E. T. (2000) · Neuroscience & Biobehavioral Reviews · doi:10.1016/s0149-7634(99)00055-x · Cited by 545 · cited 1× · see citing works
“…may develop hypo-responsiveness or resistance to psychostimulants induced by specified developmental trajectories (Biederman, Mick, & Faraone, 2000; Rubia et al., 2000; Santosh & Taylor, 2000), suggesting that reduced activations of the right SMA play a role in compensatory mechanisms in ADHD…”
A cross-disorder connectome landscape of brain dysconnectivity
van den Heuvel, M. P., & Sporns, O. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0177-6 · Cited by 462 · cited 1× · see citing works
“…various task paradigms due to their many-to-one relationship, pooling findings across experiments in the cognitive domain might be an objective approach that facilitates the comprehensive investigation of functional responses of ADHD medications (Janiri et al., 2020; van den Heuvel & Sporns, 2019).”
Psychopathology and the Human Connectome: Toward a Transdiagnostic Model of Risk For Mental Illness
Buckholtz, J. W., & Meyer‐Lindenberg, A. (2012) · Neuron · doi:10.1016/j.neuron.2012.06.002 · Cited by 433 · cited 1× · see citing works
“However, medication response mechanisms in the reward system, particularly in the right MCC and putamen, only emerged in child samples, suggesting that underdeveloped corticostriatal circuits in children might serve as a potential target for medication treatment (Buckholtz & Meyer-Lindenberg, 2012).”
Norman, L. J., Carlisi, C., Lukito, S., Hart, H., Mataix-Cols, D., Radua, J., & Rubia, K. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.0700 · Cited by 426 · cited 2× · see citing works
“In addition, we applied SDM linear models between the two medication groups to perform comparative analyses to assess their distinct responding activation patterns (Long et al., 2022; Norman et al., 2016).”
The contribution of the amygdala to normal and abnormal emotional states
Aggleton, J. P. (1993) · Trends in Neurosciences · doi:10.1016/0166-2236(93)90110-8 · Cited by 423 · cited 1× · see citing works
“…activation alterations was found in the left amygdala in nonstimulant cases, indicating that nonstimulants may have better inhibitory effects on abnormal affective processes in ADHD adults relative to youth (Aggleton, 1993; Phelps & LeDoux, 2005; Winstanley, Theobald, Cardinal, & Robbins, 2004).”
Gallagher, M., & Chiba, A. A. (1996) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(96)80076-6 · Cited by 410 · cited 1× · see citing works
“As part of the AFN, aberrant activation patterns of the amygdala in ADHD individuals suggest related deficits in emotional processing, control of impulsivity and reward sensitivity (Gallagher & Chiba, 1996; van Hulst et al., 2017).”
Rubia, K., Halari, R., Cubillo, A., Mohammad, A.-M., Brammer, M., & Taylor, E. (2009) · Neuropharmacology · doi:10.1016/j.neuropharm.2009.08.013 · Cited by 393 · see citing works
The anterior cingulate gyrus and the mechanism of self-regulation
POSNER, M. I., ROTHBART, M. K., SHEESE, B. E., & TANG, Y. (2007) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.7.4.391 · Cited by 385 · cited 1× · see citing works
“…improved capacity of self-regulatory control (Baldaçara, Borgio, De Lacerda, & Jackowski, 2008; Fan, McCandliss, Fossella, Flombaum, & Posner, 2005; Posner, Rothbart, Sheese, & Tang, 2007; Rubia et al., 2014; Stray, Ellertsen, & Stray, 2010), and the neuropharmacological effects were associated…”
Arnsten, A. F., & Dudley, A. G. (2005) · Behavioral and Brain Functions · doi:10.1186/1744-9081-1-2 · Cited by 363 · see citing works
Lewis, D. A., Melchitzky, D. S., Sesack, S. R., Whitehead, R. E., Auh, S., & Sampson, A. (2001) · Journal of Comparative Neurology · doi:10.1002/cne.1092 · Cited by 352 · cited 1× · see citing works
“…given the massive presence in DAT and NET expression in the motor cortex, while also being associated with indirect and down-stream effects modulated by responses of the prefrontal cortex (Lewis et al., 2001; Peterson et al., 2009; Schulz et al., 2012; Seneca et al., 2006; Tomasi et al., 2011).”
Newcorn, J. H., Kratochvil, C. J., Allen, A. J., Casat, C. D., Ruff, D. D., Moore, R. J., Michelson, D., & Atomoxetine/Methylphenidate Comparative Study Group (2008) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2007.05091676 · Cited by 336 · cited 3× · see citing works
“Regarding various treatment responses among individuals, investigation of their neuropharmacological bases that may facilitate the selection of preferential responders becomes indispensable (Newcorn et al., 2008).”
Rubia, K., Alegria, A. A., Cubillo, A. I., Smith, A. B., Brammer, M. J., & Radua, J. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.10.016 · Cited by 315 · cited 3× · see citing works
“…(Baldaçara, Borgio, De Lacerda, & Jackowski, 2008; Fan, McCandliss, Fossella, Flombaum, & Posner, 2005; Posner, Rothbart, Sheese, & Tang, 2007; Rubia et al., 2014; Stray, Ellertsen, & Stray, 2010), and the neuropharmacological effects were associated with increased activation in the brain…”
InfluentialEvidence-based pharmacological treatment options for ADHD in children and adolescents
Mechler, K., Banaschewski, T., Hohmann, S., & Häge, A. (2022) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2021.107940 · Cited by 293 · cited 3× · see citing works
“…non-stimulants may improve the top-down guidance of attention, thought and working memory in those with ADHD via direct effects on NET in the prefrontal cortex (Borchert et al., 2019; Bymaster et al., 2002; Lin & Gau, 2015; Mechler et al., 2022; Morón, Brockington, Wise, Rocha, & Hope, 2002).”
Neuropsychological mechanism underlying antidepressant effect: a systematic meta-analysis
Ma, Y. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.24 · Cited by 270 · cited 2× · see citing works
“Second, various protocol designs of the included studies with both randomized controlled and cross-sectional trials may also contribute to the heterogeneity (Ma, 2015).”
Peterson, B. S., Potenza, M. N., Wang, Z., Zhu, H., Martin, A., Marsh, R., Plessen, K. J., & Yu, S. (2009) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2009.08050724 · Cited by 261 · cited 1× · see citing works
“…given the massive presence in DAT and NET expression in the motor cortex, while also being associated with indirect and down-stream effects modulated by responses of the prefrontal cortex (Lewis et al., 2001; Peterson et al., 2009; Schulz et al., 2012; Seneca et al., 2006; Tomasi et al., 2011).”
Differential effects of word length and visual contrast in the fusiform and lingual gyri during
Mechelli, A., Humphreys, G. W., Mayall, K., Olson, A., & Price, C. J. (2000) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rspb.2000.1229 · Cited by 257 · see citing works
Chavanne, A. V., & Robinson, O. J. (2020) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2020.19111153 · Cited by 249 · cited 1× · see citing works
“…was performed to localize the common neuropharmaco-logical substrates across two kinds of medications (i.e. psychostimu-lants and nonstimulants) (Chavanne & Robinson, 2021; Pan et al., 2022), which represents an overlap of the significant clusters in a meta-analytic map based on the…”
A Guide to Conducting a Meta-Analysis
Cheung, M. W.-L., & Vijayakumar, R. (2016) · Neuropsychology Review · doi:10.1007/s11065-016-9319-z · Cited by 239 · cited 1× · see citing works
“The approach of neuroimaging meta-analysis provides an objective method for producing higher-level evidence-based reliable findings on its neural mechanisms (Cheung & Vijayakumar, 2016).”
Gamo, N. J., Wang, M., & Arnsten, A. F. T. (2010) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2010.06.015 · Cited by 232 · see citing works
Koda, K., Ago, Y., Cong, Y., Kita, Y., Takuma, K., & Matsuda, T. (2010) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2010.06750.x · Cited by 222 · cited 1× · see citing works
“Neurobiological studies revealed that increased dopamine (DA) concentration in the prefrontal cortex was observed in individuals taking medications, whether stimulants or nonstimulants (Koda et al., 2010).”
Systematic Meta-Analysis of Insula Volume in Schizophrenia
Shepherd, A. M., Matheson, S. L., Laurens, K. R., Carr, V. J., & Green, M. J. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.04.020 · Cited by 207 · cited 1× · see citing works
“We evaluated all included studies with a 12-point Imaging Methodology Quality Assessment Checklist for their quality and limitations to infer the importance of those findings (Shepherd, Matheson, Laurens, Carr, & Green, 2012) (for details, see Online Supplementary Appendix 3).”
Bush, G., Spencer, T. J., Holmes, J., Shin, L. M., Valera, E. M., Seidman, L. J., Makris, N., Surman, C., Aleardi, M., Mick, E., et al. (2008) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2007.16 · Cited by 201 · see citing works
Shafritz, K. M., Marchione, K. E., Gore, J. C., Shaywitz, S. E., & Shaywitz, B. A. (2004) · American Journal of Psychiatry · doi:10.1176/appi.ajp.161.11.1990 · Cited by 190 · cited 2× · see citing works
“…Rothbart, Sheese, & Tang, 2007; Rubia et al., 2014; Stray, Ellertsen, & Stray, 2010), and the neuropharmacological effects were associated with increased activation in the brain executive control and attention networks (Farr et al., 2014; Shafritz, Marchione, Gore, Shaywitz, & Shaywitz, 2004).”
Rubia, K., Halari, R., Cubillo, A., Smith, A. B., Mohammad, A.-M., Brammer, M., & Taylor, E. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2011.30 · Cited by 184 · see citing works
Cerebellum and psychiatric disorders
Baldaçara, L., Borgio, J. G. F., Lacerda, A. L. T. D., & Jackowski, A. P. (2008) · Revista Brasileira de Psiquiatria · doi:10.1590/s1516-44462008000300016 · Cited by 183 · see citing works
Janiri, D., Moser, D. A., Doucet, G. E., Luber, M. J., Rasgon, A., Lee, W. H., Murrough, J. W., Sani, G., Eickhoff, S. B., & Frangou, S. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.3351 · Cited by 173 · cited 2× · see citing works
“The task and corresponding Research Domain Criteria (RDoC) construct and domain were labeled for each included fMRI study (Cuthbert, 2014; Janiri et al., 2020; Pan et al., 2022) (approach to coding task experiments in Online Supplementary Appendix 2).”
Rubia, K., Halari, R., Mohammad, A.-M., Taylor, E., & Brammer, M. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.04.018 · Cited by 171 · see citing works
Tomasi, D., Volkow, N. D., Wang, G. J., Wang, R., Telang, F., Caparelli, E. C., Wong, C., Jayne, M., & Fowler, J. S. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.10.060 · Cited by 145 · cited 2× · see citing works
“…given the massive presence in DAT and NET expression in the motor cortex, while also being associated with indirect and down-stream effects modulated by responses of the prefrontal cortex (Lewis et al., 2001; Peterson et al., 2009; Schulz et al., 2012; Seneca et al., 2006; Tomasi et al., 2011).”
Lenzi, F., Cortese, S., Harris, J., & Masi, G. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.08.010 · Cited by 141 · see citing works
Dafny, N., & Yang, P. B. (2005) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2005.10.005 · Cited by 138 · cited 1× · see citing works
“At the same time, the factors of age and sex also complicate individual medication selection as they influence the effectiveness of medication treatment (Childress, Newcorn, & Cutler, 2019; Dafny & Yang, 2006; Wigal, Kollins, Childress, & Adeyi, 2010).”
Cubillo, A., Smith, A. B., Barrett, N., Giampietro, V., Brammer, M. J., Simmons, A., & Rubia, K. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs296 · Cited by 116 · see citing works
Anatomy and White Matter Connections of the Superior Frontal Gyrus
Briggs, R. G., Khan, A. W., Chakraborty, A. R., Abraham, C. J., Anderson, C. D., Karas, P. J., Bonney, P. A., Palejwala, A. H., Conner, A. K., OʼDonoghue, D. L., et al. (2019) · Clinical Anatomy · doi:10.1002/ca.23523 · Cited by 115 · cited 1× · see citing works
“Regarding the differential findings in the SFG, which has been suggested to be associated with inattention and hyperactivity (Briggs et al., 2020; King, Floren, Kharas, Thomas, & Dafny, 2019), stimulants and nonstimulants act to alter the abnormal neural responses in ADHD patients through α…”
Schulz, K. P., Fan, J., Bédard, A.-C. V., Clerkin, S. M., Ivanov, I., Tang, C. Y., Halperin, J. M., & Newcorn, J. H. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.2053 · Cited by 114 · cited 7× · see citing works
“…of frontoparietal regions through extracellular catecholamine and indirect effects that regulate the brain connectivity patterns of the central executive network and default mode network (Borchert et al., 2019; Farr et al., 2014; Lin & Gau, 2015; Schulz et al., 2012; Shafritz et al., 2004).”
InfluentialÉmond, V., Joyal, C. C., & Poissant, H. (2008) · L Encéphale · doi:10.1016/j.encep.2008.01.005 · Cited by 113 · see citing works
Posner, J., Maia, T. V., Fair, D., Peterson, B. S., Sonuga-Barke, E. J., & Nagel, B. J. (2011) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2011.02.005 · Cited by 104 · see citing works
Kobel, M., Bechtel, N., Weber, P., Specht, K., Klarhöfer, M., Scheffler, K., Opwis, K., & Penner, I.-K. (2009) · European Journal of Paediatric Neurology · doi:10.1016/j.ejpn.2008.10.008 · Cited by 104 · see citing works
Carucci, S., Balia, C., Gagliano, A., Lampis, A., Buitelaar, J. K., Danckaerts, M., Dittmann, R., Garas, P., Hollis, C. P., Inglis, S. K., et al. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.09.031 · Cited by 104 · cited 1× · see citing works
“…neuropharmacological alterations were delineated, as youth seen with stimulants showed more reduced neural responses in the right SMA relative to adults, implying they may have a higher sensitivity to stimulants to improve excessive involuntary movements (Carucci et al., 2021; Karl et al., 2006).”
Gilbert, D. L., Ridel, K. R., Sallee, F. R., Zhang, J., Lipps, T. D., & Wassermann, E. M. (2006) · Neuropsychopharmacology · doi:10.1038/sj.npp.1300806 · Cited by 97 · cited 2× · see citing works
“Both stimulant and nonstimulant medications used for ADHD have been shown to decrease cortical inhibition and increase cortical facilitation in the SMA (Gilbert et al., 2006).”
Santosh, P. J., & Taylor, E. (2000) · European Child & Adolescent Psychiatry · doi:10.1007/s007870070017 · Cited by 94 · cited 1× · see citing works
“…or resistance to psychostimulants induced by specified developmental trajectories (Biederman, Mick, & Faraone, 2000; Rubia et al., 2000; Santosh & Taylor, 2000), suggesting that reduced activations of the right SMA play a role in compensatory mechanisms in ADHD adults and that they may…”
Elliott, J., Johnston, A., Husereau, D., Kelly, S., Eagles, C., Charach, A., Hsieh, S., Bai, Z., Hossain, A., Skidmore, B., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0240584 · Cited by 93 · cited 1× · see citing works
“…youth with ADHD may have a preferential or atypical response to either stimulants or nonstimulants based on their dissociable therapeutic targets (Elliott et al., 2020; Schulz et al., 2012), it is reasonable that approximately 56% of ADHD cases may achieve clinical improvement with stimulants,…”
Stoy, M., Schlagenhauf, F., Schlochtermeier, L., Wrase, J., Knutson, B., Lehmkuhl, U., Huss, M., Heinz, A., & Ströhle, A. (2011) · Psychopharmacology · doi:10.1007/s00213-011-2166-y · Cited by 91 · see citing works
Radua, J., Romeo, M., Mataix-Cols, D., & Fusar-Poli, P. (2013) · Current Medicinal Chemistry · doi:10.2174/0929867311320030017 · Cited by 91 · see citing works
Konrad, K., Neufang, S., Fink, G. R., & Herpertz‐Dahlmann, B. (2007) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/chi.0b013e318157cb3b · Cited by 91 · see citing works
Methylphenidate facilitates learning-induced amygdala plasticity
Tye, K. M., Tye, L. D., Cone, J. J., Hekkelman, E. F., Janak, P. H., & Bonci, A. (2010) · Nature Neuroscience · doi:10.1038/nn.2506 · Cited by 89 · cited 1× · see citing works
“In treatment, stimulants act on the amygdala, which is distributed with monoamine transporters (i.e. DAT and NET inhabitation) and strengthen the current of cortico-amygdala synapses, which enhance emotional memory retention and learning performance (Smith & Porrino, 2008; Tye et al., 2010).”
Cubillo, A., Smith, A. B., Barrett, N., Giampietro, V., Brammer, M., Simmons, A., & Rubia, K. (2014) · Psychological Medicine · doi:10.1017/s0033291713000676 · Cited by 88 · cited 1× · see citing works
“…and nonstimulants may act on brain frontoparietal cir-cuity to ameliorate the dysfunction of cognitive control and attention in ADHD individuals (Cubillo et al., 2014; Fu et al., 2022; Tomasi et al., 2011), and the normalization effects of stimulants could also modulate the frontolimbic…”
Zhao, Y., Yang, L., Gong, G., Cao, Q., & Liu, J. (2021) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2021.110477 · Cited by 85 · cited 1× · see citing works
“AES-SDM is a statistical technique and toolbox to identify neural abnormalities on account of voxel-based neuroimaging meta-analysis (Zhao, Yang, Gong, Cao, & Liu, 2022).”
Seneca, N. M., Gulyás, B. Z., Varrone, A., Schou, M., Airaksinen, A. J., Tauscher, J. T., Vandenhende, F., Kielbasa, W., Farde, L., Innis, R. B., et al. (2006) · Psychopharmacology · doi:10.1007/s00213-006-0483-3 · Cited by 78 · cited 1× · see citing works
“…given the massive presence in DAT and NET expression in the motor cortex, while also being associated with indirect and down-stream effects modulated by responses of the prefrontal cortex (Lewis et al., 2001; Peterson et al., 2009; Schulz et al., 2012; Seneca et al., 2006; Tomasi et al., 2011).”
Post-mortem human brain autoradiography of the norepinephrine transporter using (S,S)-[18F]FMeNER-D2
Schou, M., Halldin, C., Pike, V. W., Mozley, P. D., Dobson, D. R., Innis, R. B., Farde, L., & Hall, H. (2005) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2005.01.007 · Cited by 73 · cited 1× · see citing works
“Due to localized effects at DAT sites corresponding to the action of stimulants (Ciliax et al., 1999; Schou et al., 2005), abnormalities of the anterior cingulate cortex (ACC) and supplementary motor area (SMA) regions were normalized along with improved capacity of self-regulatory control…”
Kowalczyk, O. S., Cubillo, A. I., Smith, A., Barrett, N., Giampietro, V., Brammer, M., Simmons, A., & Rubia, K. (2019) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2019.07.139 · Cited by 63 · see citing works
Janssen, T. W. P., Bink, M., Geladé, K., van Mourik, R., Maras, A., & Oosterlaan, J. (2016) · Journal of Child and Adolescent Psychopharmacology · doi:10.1089/cap.2015.0144 · Cited by 58 · cited 1× · see citing works
“Psychostimulants, such as methylphenidate, are widely prescribed to ameliorate ADHD symptoms, at least in improving attention span and reducing distractibility (Janssen et al., 2016).”
Farr, O. M., Zhang, S., Hu, S., Matuskey, D., Abdelghany, O., Malison, R. T., & Li, C.-S. R. (2014) · The International Journal of Neuropsychopharmacology · doi:10.1017/s1461145714000674 · Cited by 57 · cited 2× · see citing works
“…Rothbart, Sheese, & Tang, 2007; Rubia et al., 2014; Stray, Ellertsen, & Stray, 2010), and the neuropharmacological effects were associated with increased activation in the brain executive control and attention networks (Farr et al., 2014; Shafritz, Marchione, Gore, Shaywitz, & Shaywitz, 2004).”
Self-citationSmith, A., Cubillo, A., Barrett, N., Giampietro, V., Simmons, A., Brammer, M., & Rubia, K. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.03.030 · Cited by 53 · cited 1× · see citing works
“…are limited, which poses challenges to statistical power given the concern about the clinical applicability of simultaneously studying ADHD patients taking either stimulants or nonstimulants in real-world scenarios (Chou, Chia, Shang, & Gau, 2015; Schulz et al., 2012, 2017; Smith et al., 2013).”
Murray, G. K., Knolle, F., Ersche, K. D., Craig, K. J., Abbott, S., Shabbir, S. S., Fineberg, N. A., Suckling, J., Sahakian, B. J., Bullmore, E. T., et al. (2019) · Psychopharmacology · doi:10.1007/s00213-019-05292-2 · Cited by 53 · cited 1× · see citing works
“…aligning with the underactivity of MCC echoes previous evidence that stimulants may improve cingulate dysfunction through bidirectional remediation by dopaminergic modulation, and the DA system controlled by cholinergic receptors in the MCC is a likely target (Murray et al., 2019; Vogt, 2019).”
Cingulate impairments in ADHD: Comorbidities, connections, and treatment
(2019) · Handbook of Clinical Neurology · doi:10.1016/b978-0-444-64196-0.00016-9 · Cited by 51 · cited 1× · see citing works
“…aligning with the underactivity of MCC echoes previous evidence that stimulants may improve cingulate dysfunction through bidirectional remediation by dopaminergic modulation, and the DA system controlled by cholinergic receptors in the MCC is a likely target (Murray et al., 2019; Vogt, 2019).”
Schulze, L., Schmahl, C., & Niedtfeld, I. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.03.027 · Cited by 48 · cited 1× · see citing works
“For the above two-modality analysis, we decreased the voxel-wise threshold to a corrected stringent level of p < 0.0025 for four tails (Schulze, Schmahl, & Niedtfeld, 2016).”
InfluentialBrain structural correlates of irritability: Findings in a large healthy cohort
Besteher, B., Squarcina, L., Spalthoff, R., Bellani, M., Gaser, C., Brambilla, P., & Nenadić, I. (2017) · Human Brain Mapping · doi:10.1002/hbm.23824 · Cited by 48 · cited 1× · see citing works
“The lingual gyrus, a component of the visual cortex underlying word identification and recognition, has also been implicated in irritability and impulsive aggression in subclinical samples (Besteher et al., 2017; Mechelli, Humphreys, Mayall, Olson, & Price, 2000).”
Szekely, E., Sudre, G. P., Sharp, W., Leibenluft, E., & Shaw, P. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2017.16111313 · Cited by 47 · see citing works
Smith, H. R., & Porrino, L. J. (2008) · Brain Structure and Function · doi:10.1007/s00429-008-0176-2 · Cited by 45 · cited 1× · see citing works
“In treatment, stimulants act on the amygdala, which is distributed with monoamine transporters (i.e. DAT and NET inhabitation) and strengthen the current of cortico-amygdala synapses, which enhance emotional memory retention and learning performance (Smith & Porrino, 2008; Tye et al., 2010).”
van Hulst, B. M., de Zeeuw, P., Bos, D. J., Rijks, Y., Neggers, S. F. W., & Durston, S. (2016) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12643 · Cited by 45 · cited 1× · see citing works
“As part of the AFN, aberrant activation patterns of the amygdala in ADHD individuals suggest related deficits in emotional processing, control of impulsivity and reward sensitivity (Gallagher & Chiba, 1996; van Hulst et al., 2017).”
Chou, T.-L., Chia, S., Shang, C.-Y., & Gau, S. S.-F. (2015) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2015.08.024 · Cited by 44 · cited 1× · see citing works
“…are limited, which poses challenges to statistical power given the concern about the clinical applicability of simultaneously studying ADHD patients taking either stimulants or nonstimulants in real-world scenarios (Chou, Chia, Shang, & Gau, 2015; Schulz et al., 2012, 2017; Smith et al., 2013).”
Congdon, E. L., Altshuler, L. L., Mumford, J. A., Karlsgodt, K. H., Sabb, F. W., Ventura, J., McGough, J. J., London, E. D., Cannon, T. D., Bilder, R. M., et al. (2014) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2014.02.002 · Cited by 42 · see citing works
Attention-deficit/hyperactivity disorder is characterized by a delay in subcortical maturation
Wang, Y., Zuo, C., Xu, Q., Lei, H. C., & Zhang, Y. (2020) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.110044 · Cited by 42 · cited 1× · see citing works
“…is more prevalent in ADHD adults relative to adolescents (Shaw, Stringaris, Nigg, & Leibenluft, 2014), and they may have better treatment responses to nonstimulants in refining affective stability as informed by our neuroimaging findings in the amygdala (Wang, Zuo, Xu, Hao, & Zhang, 2021).”
Long, Y., Pan, N., Ji, S., Qin, K., Chen, Y., Zhang, X., He, M., Suo, X., Yu, Y., Wang, S., et al. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02130-6 · Cited by 42 · cited 3× · see citing works
“In addition, we applied SDM linear models between the two medication groups to perform comparative analyses to assess their distinct responding activation patterns (Long et al., 2022; Norman et al., 2016).”
Self-citationBush, G., Holmes, J., Shin, L. M., Surman, C. B. H., Makris, N., Mick, E. O., Seidman, L. J., & Biederman, J. (2012) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2012.09.004 · Cited by 41 · see citing works
Easton, N., Marshall, F. H., Fone, K. C. F., & Marsden, C. A. (2006) · Neuropharmacology · doi:10.1016/j.neuropharm.2006.09.024 · Cited by 37 · see citing works
Lin, H.-Y., & Gau, S. S.-F. (2016) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyv094 · Cited by 37 · cited 2× · see citing works
“…non-stimulants may improve the top-down guidance of attention, thought and working memory in those with ADHD via direct effects on NET in the prefrontal cortex (Borchert et al., 2019; Bymaster et al., 2002; Lin & Gau, 2015; Mechler et al., 2022; Morón, Brockington, Wise, Rocha, & Hope, 2002).”
Chantiluke, K. C., Barrett, N., Giampietro, V., Brammer, M. J., Simmons, A., & Rubia, K. (2014) · Psychological Medicine · doi:10.1017/s0033291714002232 · Cited by 34 · see citing works
Stimulant Medication and Prefrontal Functional Connectivity During Working Memory in ADHD
Sheridan, M. A., Hinshaw, S. P., & D’Esposito, M. (2010) · Journal of Attention Disorders · doi:10.1177/1087054709347444 · Cited by 34 · see citing works
Prehn‐Kristensen, A., Krauel, K., Hinrichs, H., Fischer, J., Malecki, U., Schuetze, H., Wolff, S., Jansen, O., Düzel, E., & Baving, L. (2011) · Brain Research · doi:10.1016/j.brainres.2011.02.075 · Cited by 34 · see citing works
Striatal Activation Predicts Differential Therapeutic Responses to Methylphenidate and Atomoxetine
Schulz, K. P., Bedard, A., Fan, J., Hildebrandt, T., Stein, M. A., Ivanov, I., Halperin, J. M., & Newcorn, J. H. (2017) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2017.04.005 · Cited by 32 · cited 1× · see citing works
“…are limited, which poses challenges to statistical power given the concern about the clinical applicability of simultaneously studying ADHD patients taking either stimulants or nonstimulants in real-world scenarios (Chou, Chia, Shang, & Gau, 2015; Schulz et al., 2012, 2017; Smith et al., 2013).”
Pan, N., Wang, S., Qin, K., Li, L., Chen, Y., Zhang, X., Lai, H., Suo, X., Long, Y., Yu, Y., et al. (2022) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2022.06.003 · Cited by 32 · see citing works
Self-citationMizuno, K., Yoneda, T., Komi, M., Hirai, T., Watanabe, Y., & Tomoda, A. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.03.004 · Cited by 30 · see citing works
Mapping common grey matter volume deviation across child and adolescent psychiatric disorders
Li, T., Wang, L., Camilleri, J. A., Chen, X., Li, S., Stewart, J. L., Jiang, Y., Eickhoff, S. B., & Feng, C. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.05.015 · Cited by 30 · cited 2× · see citing works
“To uncover potential coactivation patterns of their shared and distinct neuropharmacological mechanisms at the brain network level, we decoded the meta-analytic results using large-scale network analysis (Li et al., 2020).”
Nonstimulant Treatments for ADHD
Newcorn, J. H., Krone, B., & Dittmann, R. W. (2022) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2022.03.005 · Cited by 29 · cited 1× · see citing works
“Fourth, the neuropharmacological pathways of nonstimulants are notably diverse, yet they all converge on targeting the norepinephrine transporter in some capacity for the treatment of ADHD (Newcorn, Krone, & Dittmann, 2022) .”
Modulatory effects of the supplementary motor area on primary motor cortex outputs
Côté, S. L., Elgbeili, G., Quessy, S., & Dancause, N. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00391.2019 · Cited by 27 · cited 1× · see citing works
“As part of the premotor area, SMA sends its output to the primary motor cortex to produce motor sequences (Côté, Elgbeili, Quessy, & Dancause, 2020; Dum & Strick, 2002).”
Motor function and methylphenidate effect in children with attention deficit hyperactivity disorder
Stray, L. L., Ellertsen, B., & Stray, T. (2010) · Acta Paediatrica · doi:10.1111/j.1651-2227.2010.01760.x · Cited by 26 · cited 1× · see citing works
“…De Lacerda, & Jackowski, 2008; Fan, McCandliss, Fossella, Flombaum, & Posner, 2005; Posner, Rothbart, Sheese, & Tang, 2007; Rubia et al., 2014; Stray, Ellertsen, & Stray, 2010), and the neuropharmacological effects were associated with increased activation in the brain executive control and…”
Lee, Y.-S., Han, D. H., Lee, J. H., & Choi, T. Y. (2010) · Psychiatry Investigation · doi:10.4306/pi.2010.7.1.49 · Cited by 24 · see citing works
Wigal, S. B., Kollins, S. H., Childress, A. C., & Adeyi, B. (2010) · Child and Adolescent Psychiatry and Mental Health · doi:10.1186/1753-2000-4-32 · Cited by 23 · cited 1× · see citing works
“At the same time, the factors of age and sex also complicate individual medication selection as they influence the effectiveness of medication treatment (Childress, Newcorn, & Cutler, 2019; Dafny & Yang, 2006; Wigal, Kollins, Childress, & Adeyi, 2010).”
Fan, L., Chou, T., & Gau, S. S. (2017) · Human Brain Mapping · doi:10.1002/hbm.23683 · Cited by 23 · see citing works
Bédard, A.-C. V., Schulz, K. P., Krone, B., Pedraza, J., Duhoux, S., Halperin, J. M., & Newcorn, J. H. (2015) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2015.01.012 · Cited by 20 · see citing works
Jarczok, T. A., Haase, R., Bluschke, A., Thiemann, U., & Bender, S. (2019) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2019.05.003 · Cited by 18 · see citing works
Wiguna, T., Guerrero, A. P. S., Wibisono, S., & Sastroasmoro, S. (2014) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2014.12.2.137 · Cited by 17 · see citing works
Sweitzer, M. M., Kollins, S. H., Kozink, R. V., Hallyburton, M., English, J. S., Addicott, M. A., Oliver, J. A., & McClernon, F. J. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.248 · Cited by 17 · see citing works
Abdallah, M., Farrugia, N., Chirokoff, V., & Chanraud, S. (2020) · Network Neuroscience · doi:10.1162/netn_a_00149 · Cited by 15 · cited 1× · see citing works
“In addition, the altered activation of the cerebellum incident to stimulant use may ameliorate problems of dysfunctional control and reward processes based on cerebro-cerebellar interactions (Abdallah, Farrugia, Chirokoff, & Chanraud, 2020).”
Atomoxetine and citalopram alter brain network organization in Parkinson’s disease
Borchert, R. J., Rittman, T., Rae, C. L., Passamonti, L., Jones, S. P., Vatansever, D., Vázquez Rodríguez, P., Ye, Z., Nombela, C., Hughes, L. E., et al. (2019) · Brain Communications · doi:10.1093/braincomms/fcz013 · Cited by 14 · cited 2× · see citing works
“…non-stimulants may improve the top-down guidance of attention, thought and working memory in those with ADHD via direct effects on NET in the prefrontal cortex (Borchert et al., 2019; Bymaster et al., 2002; Lin & Gau, 2015; Mechler et al., 2022; Morón, Brockington, Wise, Rocha, & Hope, 2002).”
Fu, Z., Yuan, J., Pei, X., Zhang, K., Xu, C., Hu, N., Xie, R., Zhao, Y., Wang, Y., Yang, L., et al. (2022) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyac028 · Cited by 14 · cited 1× · see citing works
“…act on brain frontoparietal cir-cuity to ameliorate the dysfunction of cognitive control and attention in ADHD individuals (Cubillo et al., 2014; Fu et al., 2022; Tomasi et al., 2011), and the normalization effects of stimulants could also modulate the frontolimbic abnormalities (Wiguna,…”
King, N., Floren, S., Kharas, N., Thomas, M., & Dafny, N. (2019) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2019.172737 · Cited by 13 · cited 2× · see citing works
“2007; King et al., 2019), and may in turn, improve deficits in response inhibition and tendencies for impulsive choices in ADHD individuals (Szekely, Sudre, Sharp, Leibenluft, & Shaw, 2017).”
Acute Atomoxetine Selectively Modulates Encoding of Reward Value in Ventral Medial Prefrontal Cortex
Suzuki, C., Ikeda, Y., Tateno, A., Okubo, Y., Fukayama, H., & Suzuki, H. (2019) · Journal of Nippon Medical School · doi:10.1272/jnms.jnms.2019_86-205 · Cited by 12 · see citing works
Regulation of GluA1 phosphorylation by d ‐amphetamine and methylphenidate in the cerebellum
Cutando, L., Puighermanal, E., Castell, L., Tarot, P., Bertaso, F., Bonnavion, P., d’Exaerde, A. D. K., Isingrini, E., Galante, M., Dallérac, G. M., et al. (2020) · Addiction Biology · doi:10.1111/adb.12995 · Cited by 12 · see citing works
Childress, A. C., Newcorn, J. H., & Cutler, A. J. (2019) · Advances in Therapy · doi:10.1007/s12325-019-00942-5 · Cited by 6 · cited 1× · see citing works
“At the same time, the factors of age and sex also complicate individual medication selection as they influence the effectiveness of medication treatment (Childress, Newcorn, & Cutler, 2019; Dafny & Yang, 2006; Wigal, Kollins, Childress, & Adeyi, 2010).”
Ciliax (1999) · doi:10.1002/(sici)1096-9861(19990621)409:1
Abdallah, M., Farrugia, N., Chirokoff, V., et al. (2020) · doi:10.1101/2020.01.20.912295
Flagged first, then by citations
Research works printed but not linked: 9
- 10.1016/j.euroneuro.2015.08.024 · DOI · Paper page
- Prehn-Kristensen, 2011, Brain Research, 1388, 56
- Battle, 2013, CoDAS, 25, 191
- 10.1093/cercor/bhs296 · DOI · Paper page
- 10.1016/j.euroneuro.2019.07.139 · DOI · Paper page
- 10.1093/cercor/bhs296 · DOI · Paper page
- 10.1017/s0033291713000676 · DOI · Paper page
- 10.1176/appi.ajp.2009.08050724 · DOI · Paper page
- 10.1016/j.euroneuro.2015.08.024 · DOI · Paper page
Cited by
Sorted by citations
Pan, N., Long, Y., Qin, K., Pope, I. Z., Chen, Q., Zhu, Z., Cao, Y., Li, L., Singh, M. K., McNamara, R. K., et al. (2026) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2026.0001 · Cited by 23 · see citing works
Self-citationADHD in Adulthood: Clinical Presentation, Comorbidities, and Treatment Perspectives
Bogdańska-Chomczyk, E., Majewski, M. K., & Kozłowska, A. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms262211020 · Cited by 15 · see citing works
“Tailoring pharmacotherapy to comorbidity patterns—such as anxiety, insomnia, or cardiovascular disease—enhances both safety and efficacy [155,158].”
Li, Y., Liu, X., Li, J., Zhang, Q., Pan, N., Luo, K., Kemp, G. J., & Gong, Q. (2025) · Psychological Medicine · doi:10.1017/s0033291725101141 · Cited by 5 · see citing works
“AES-SDM is a powerful statistical technique to synthesize diverse neuroimaging findings (Radua et al., 2012) and has been widely used in previous meta-analyses (Liloia et al., 2024; Liu et al., 2021b; Pan et al., 2024; Schrammen et al., 2022).”
Self-citationEnergy deficit hyperactivity disorder (EDHD): A neurobiological energy dysregulation model for ADHD
Rahimi, M. D. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106616 · Cited by 4 · see citing works
Ghozy, S., Meiza, J., Morsy, A., Naveed, S., Dmytriw, A., Kallmas, K., & Morsy, S. (2025) · Psychiatry research. Neuroimaging · doi:10.1016/j.pscychresns.2025.111992 · Cited by 1 · see citing works
El Masri, S., Kowalczyk, O. S., Chiu, T. H., Criaud, M., Lukito, S., Mazibuko, N., Salazar de Pablo, G., Perez Rodriguez, V., Makos, O., Lam, S.-L., et al. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1676472
Inhibitory control deficits in children and adolescents with ADHD: A comparative study
Rafikhah, M., Fami, F. S., Ghasemzadeh, P., & Ghasemzadeh, S. (2026) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2026.105139
- Authors
- Pan, N., Ma, T., Liu, Y., Zhang, S., Hu, S., Shekara, A., Cao, H., Gong, Q., & Chen, Y.
- Affiliations
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Sichuan University (CN)
- University of Cincinnati (US)
- Feinstein Institute for Medical Research (US)
- Corresponding author
- Gong, Qiyong
- Chen, Ying
- Venue
- Psychological Medicine
- Publisher
- Cambridge University Press (CUP)
- Published
- 2024-12
- Volume
- 54
- Issue
- 16
- Pages
- 4676-4690
- ISSN
- 0033-2917 (ISSN-L)
- 1469-8978
- PMC
- PMC11769909
- OpenAlex
- W4406382006
- Semantic Scholar
- 3a2dc5427db744aa3b3e5667a4c91f0509a63908
- Cited by
- 7
- References
- 114
- Citations by year
- 2026: 3 · 2025: 4
- FWCI
- 2.06
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Psychological Medicine (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by-nc-nd)
- Funders
- National Natural Science Foundation of China (81801358, 823B2041, 81820108018, 81621003, 82027808)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- attention deficit hyperactivity disorder, psychostimulants, non-stimulant medication, supplementary motor area, amygdala, ventral attention network, frontoparietal network, brain activation patterns, sex differences, age effects, neurodevelopmental trajectories, therapeutic target
- MeSH terms
- Amygdala, Central Nervous System Stimulants, Attention Deficit Disorder with Hyperactivity, Brain, Child, Female, Humans, Magnetic Resonance Imaging, Male, Neuroimaging, Functional Neuroimaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-29.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-29.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review