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Identification of Common Neural Circuit Disruptions in Cognitive Control Across Psychiatric Disorders
Open accessAbstract
OBJECTIVE: Cognitive deficits are a common feature of psychiatric disorders. The authors investigated the nature of disruptions in neural circuitry underlying cognitive control capacities across psychiatric disorders through a transdiagnostic neuroimaging meta-analysis. METHOD: A PubMed search was conducted for whole-brain functional neuroimaging articles published through June 2015 that compared activation in patients with axis I disorders and matched healthy control participants during cognitive control tasks. Tasks that probed performance or conflict monitoring, response inhibition or selection, set shifting, verbal fluency, and recognition or working memory were included. Activation likelihood estimation meta-analyses were conducted on peak voxel coordinates. RESULTS: The 283 experiments submitted to meta-analysis included 5,728 control participants and 5,493 patients with various disorders (schizophrenia, bipolar or unipolar depression, anxiety disorders, and substance use disorders). Transdiagnostically abnormal activation was evident in the left prefrontal cortex as well as the anterior insula, the right ventrolateral prefrontal cortex, the right intraparietal sulcus, and the midcingulate/presupplementary motor area. Disruption was also observed in a more anterior cluster in the dorsal cingulate cortex, which overlapped with a network of structural perturbation that the authors previously reported in a transdiagnostic meta-analysis of gray matter volume. CONCLUSIONS: These findings demonstrate a common pattern of disruption across major psychiatric disorders that parallels the "multiple-demand network" observed in intact cognition. This network interfaces with the anterior-cingulo-insular or "salience network" demonstrated to be transdiagnostically vulnerable to gray matter reduction. Thus, networks intrinsic to adaptive, flexible cognition are vulnerable to broad-spectrum psychopathology. Dysfunction in these networks may reflect an intermediate transdiagnostic phenotype, which could be leveraged to advance therapeutics.
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“many of these findings are unlikely to be specific to PTSD, and may instead represent common neural abnormalities across psychiatric disorders [9,10].”
From Trauma, PTSD, and the Developing Brain (2017) · cites this paper as [10]
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“Further, meta-analyses across psychiatric disorders have found evidence of more similarities in functional and structural neuroimaging abnormalities across disorders than differences, despite variance in symptoms (Goodkind et al., 2015; McTeague et al., 2017).”
From Meta-analyses of the neural mechanisms and predictors of response to psychotherapy in depression and anxiety (2018) · cites this paper as McTeague et al., 2017
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“…made to find new, more accessible ways of targeting cognitive functions to improve OCD outcomes, such as training patients in cognitive control (McTeague et al. 2017), or by attempting to enhance the functioning of the underpinning brain networks using experimental non-invasive forms of…”
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“…1209 foci, 6046 subjects); (iii) altered brain activity in the escalated aggression group versus control group (escalated aggression group > control group or escalated aggression group < control group: 231 experiments, 2197 foci, 10,647 subjects) (for a similar approach, see McTeague et al., 2017).”
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“…is a growing consensus that EF difficulties serve as a transdiagnostic risk factor for mental health difficulties, resulting in a range of clinical symptoms associated with depression, anxiety, schizophrenia, and bipolar and substance use disorders (e.g., McLaughlin, 2016; McTeague et al., 2017).”
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“(45) observed a transdiagnostic pattern of aberrant brain activation in regions corresponding to the well-established multiple-demand network, including the left prefrontal cortex (premotor to middorsolateral prefrontal cortex) and anterior mid-cingulate cortex.”
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“…responses (Langenecker et al., 2007a; Miyake et al., 2000), deficits of which are implicated in a variety of forms of psychopathology, such as mood disorders, anxiety disorders, psychotic disorders, and substance use disorders (e.g., Joormann and Vanderlind, 2014; McTeague et al., 2016, 2017).”
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“There is also growing recognition that depression is a neural circuit-based disease (27) and that different areas of the brain contribute to the development of this condition (28).”
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“Furthermore, PDE show the same pattern of disrupted neural circuits and networks associated with cognition and adaptive emotional responses, regulation [4, 5].”
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“…well-known central executive and salience networks supporting higher cognitive functions and attention regulation (Menon, 2011) — is often reported in association with different psychopathologies, suggesting and predicting weaker neurocognitive performance in patients (McTeague et al., 2016, 2017).”
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“…and a general factor also fits with genetic and brain correlates of psychopathology (Elliott, Romer, Knodt, & Hariri, 2018; Goodkind et al., 2015; McTeague et al., 2017; Neumann et al., 2016; Wang, Gaitsch, Poon, Cox, & Rzhetsky, 2017) as well as responses to psychosocial treatment…”
BackgroundThe Attentional Boost Effect in Young and Adult Euthymic Bipolar Patients and Healthy Controls
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“[53] showed that, in tasks of cognitive control, hypoactivation in the right inferior prefrontal/insular cortex represented a transdiagnostic feature of schizophrenia, bipolar disorder, major depressive disorder, anxiety disorders, and substance use.”
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“, amygdala, anterior cingulate cortex, prefrontal cortices) in depression and anxiety disorders [60,61] suggest problematic sleep may exacerbate dysfunction, which increases the risk of SI and suicidal behavior.”
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“However, similar regions have also been identi fi ed across cognitive domains, and this might be due to the fact that some common brain substrates may underlie multiple cognitive domains [14].”
The relationship between cognitive and affective control and adolescent mental health
Minihan, S., Kumle, L., Maston, K., Bal, D., Werner‐Seidler, A., Christensen, H. M., & Schweizer, S. (2023) · JCPP Advances · doi:10.1002/jcv2.12204 · Cited by 9
“At the neural level, meta ‐ analytic evidence has shown common neural circuit disruptions in cognitive control networks in individuals with various mental health problems (McTeague et al., 2017).”
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“In regard to task-based functional neuroimaging studies, McTeague et al. (McTeague et al. 2017) conducted a meta-analysis of cognitive control tasks in SMDs and other psychiatric disorders, which highlighted common hypoactivation of the dorsal anterior cingulate cortex and common hyperactivation in…”
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Cognitive Control in Schizophrenia: Advances in Computational Approaches
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“…paradigms that include many forms of psychopathology so that we can begin to understand whether cognitive control deficits across disorders (e.g., McTeague et al., 2017) are the results of a shared set of computational, psychological, and neural mechanisms that cut across mental health…”
BackgroundNeuroscience and the Future of Psychiatry
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“…“EA moderated associations between cluster FA and sAA”—recruitment in medial premotor areas may play a compensatory role in individuals with maltreatment and/or psychiatric disorders according to several lines of evidence, including a meta-analysis (Herringa et al., 2016; McTeague et al., 2017).”
BackgroundChapter 50. Treatment of Anxiety Disorders
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“…ACC during response inhibition or behavior-monitoring are commonly reported in children with attention deficit hyperactivity disorder (ADHD) (Cortese et al., 2012; Hart et al., 2013; McTeague et al., 2017) and individuals with SUDs (Luijten et al., 2014; Nestor et al., 2011; Yücel et al., 2007).”
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“While puberty sparks a time of tremendous social and cognitive growth, it also presents a time of increased risk for the development of neuro-pathology (Kaczkurkin, Park, et al., 2019; McTeague et al., 2017; Sydnor et al., 2021).”
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“Considering the overlapping hypo-activation in the right anterior insula across psychiatric disorders, including MDD and schizophrenia (McTeague et al., 2017), and the fact that MTL has been attributed as a classic node in the DMN (Fair et al., 2009), it is transdiagnostically possible that the MDD…”
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Path analysis: A method to estimate altered pathways in time-varying graphs of neuroimaging data
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“Cognitive dysfunction in schizophrenia (McTeague et al., 2017) supports the cognitive control discon-nections identified by our method, which were observed both in static and dynamic analysis.”
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“…has been reported across a diverse range of diagnostic groups (schizophrenia, bipolar disorder, depression, addiction, obsessive-compulsive disorder, and anxiety) and has been hypothesized to reflect a shared neurobiologic substrate to mental illness (Goodkind et al., 2015; McTeague et al., 2017).”
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“Cognitive dysfunction is suggested to be a transdiagnostic dimension that increases the vulnerability for psychiatric disorders, and it is a core component of all psychiatric disorders (Bora & Pantelis, 2015; McTeague et al., 2017; Millan et al., 2012).”
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“25,26 These imaging findings in the brain identify a concordance with genetic and clinical overlap across psychiatric disorders.”
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“Widge is with the Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN 55455, USA current, frequency, and duty cycle)? Dysfunctional decisionmaking and cognitive control are common features in a wide range of mental disorders such as depression, addiction, anxiety disorders, autis…”
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“Because depressive symptoms often occur with anxiety [46] and share structural and brain alterations in circuits involving emotion regulation and cognitive control [47], anxiety symptoms were introduced as a covariate.”
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“Although not mentioned in the present thesis, studies have also focused on other subconstructs of cognitive control, such as goal selection, task switching, response selection, and performance monitoring, among participants with MDD [90], BPD [91, 92], and a range of other disorders [93].”
BackgroundRodriguez-Thompson, A., Miller, A. B., Wade, M., Meyer, K. N., Machlin, L., Bonar, A. S., Patel, K. K., Giletta, M., Hastings, P. D., Nock, M. K., et al. (2023) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2023.03.012 · Cited by 7
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Jiang, F., Zhang, J., Yang, Y., Tan, A., Qin, X., Wang, P., Zhong, X., Xiao, J. F., Li, J., & Zhou, B. (2024) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2024.152490 · Cited by 6
Bartolomeo, M. D., Aroni, S., Serra, M., Serra, V., Martella, F., Gilardini, F., Melis, M., & D'Addario, C. (2025) · Cells · doi:10.3390/cells14120904 · Cited by 5
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
“…suggests that MCG is activated during a range of response-inhibition tasks in healthy populations (Zhang, Geng, & Lee, 2017), while a transdiag-nostic meta-analysis demonstrated abnormal MCG activation in cognitive control across psychiatric disorders, including MDD (McTeague et al., 2017).”
InfluentialWarren, H. C., Parker, D. A., Trotti, R. L., Zeng, V., Meda, S. A., Lencer, R., Sprenger, A., Hill, S. K., Brown, J. A., Doss, I., et al. (2025) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.13887 · Cited by 5
Wang, L., Liu, Q., Zheng, Z., Chen, W., Shen, Y., Li, T., & Feng, C. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03760-2 · Cited by 6
Heterogeneous Brain Atrophy Sites in Anxiety Disorders Map to a Common Brain Network
Yang, Y., Xu, W., Wang, Y., Cao, H., Yao, X., Zhang, T., Xie, X., Hua, Q., Cheng, W., Shen, L., et al. (2024) · Depression and Anxiety · doi:10.1155/2024/3827870 · Cited by 8
The future of mental health and aging
Hantke, N. C., O'Hara, R. M., Beaudreau, S. A., & Etkin, A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-800136-3.00028-4 · Cited by 5
Self-citationKubera, K. M., Hirjak, D., Wolf, N. D., & Wolf, R. C. (2021) · Der Nervenarzt · doi:10.1007/s00115-021-01175-0 · Cited by 5
da Silva, K., Curvina, M., de Araújo, S. K. M., Rocha, K. D. M., Marinho, V., Magalhães, F. E. X., Teixeira, S. S., Bastos, V. H., Ribeiro, P. F. M., & Silva-Júnior, F. (2021) · Neuroscience Letters · doi:10.1016/j.neulet.2021.136210 · Cited by 5
Hoy, N., Lynch, S. J., Waszczuk, M. A., Reppermund, S., & Mewton, L. R. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.1036794 · Cited by 5
“Similarly, recent meta-analytic research has demonstrated evidence of shared abnormalities in both brain structure and function across a range of common psychiatric disorders (27, 28).”
ResultAn automated platform for Assessing Working Memory and prefrontal circuit function
Witztum, J., Singh, A., Zhang, R., Johnson, M. M., & Liston, C. M. (2023) · Neurobiology of Stress · doi:10.1016/j.ynstr.2023.100518 · Cited by 5
“…stress-related neuropsychiatric disorders, and has been linked to characteristic deficits in regulating attention, reward processing, and executive control (Davidson et al., 2002; Pizzagalli et al., 2014; Drysdale et al., 2017; Ressler and Mayberg, 2007; McTeague et al., 2017; Williams, 2016).”
Drysdale, A. T., Myers, M. J., Harper, J., Guard, M., Manhart, M., Yu, Q., Perino, M. T., Luby, J. L., Barch, D. M., Pine, D. S., et al. (2023) · Journal of Child and Adolescent Psychopharmacology · doi:10.1089/cap.2023.0020 · Cited by 5
“Alterations in CON activity have consistently been linked to psychiatric illnesses in meta-analyses, with CON regions thought to be overactive in anxiety disorders (Cocchi et al., 2012; Liao et al., 2010; McTeague et al., 2017).”
BackgroundThe American Psychiatric Association Publishing Textbook of Psychopharmacology
Schatzberg, A. F., & Nemeroff, C. B. (2024) · American Psychiatric Association Publishing eBooks · doi:10.1176/appi.books.9781615375523 · Cited by 6
Decoding Human Cognitive Control Using Functional Connectivity of Local Field Potentials
Avvaru, S., Provenza, N. R., Widge, A. S., & Parhi, K. K. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc46164.2021.9630706 · Cited by 5
Voldsbekk, I., Kjelkenes, R., Frogner, E. R., Westlye, L. T., & Alnæs, D. (2024) · Human Brain Mapping · doi:10.1002/hbm.26631 · Cited by 6
“…reported that RSFC patterns relating to psychopathology are transdiagnostic or shared across disorders (Elliott et al., 2018; Karcher et al., 2021; Kebets et al., 2023; Lees et al., 2021; Linke et al., 2021; McTeague et al., 2017, 2020; Sha et al., 2019; Voldsbekk et al., 2023; Xia et al., 2018).”
BackgroundPetrican, R., Söderlund, H., Kumar, N., Daskalakis, Z. J., Flint, A. J., & Levine, B. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101816 · Cited by 5
Chapter 49. Treatment of Bipolar Disorder
Strakowski, S. M., & Keck, P. E. (2024) · American Psychiatric Association Publishing eBooks · doi:10.1176/appi.books.9781615375523.as49 · Cited by 5
Sit, H. F., Cheung, F. T. W., Li, X., Chan, N., Chan, J. W. Y., Wing, Y. K., & Li, S. X. (2025) · International Journal of Clinical and Health Psychology · doi:10.1016/j.ijchp.2025.100619 · Cited by 4
“…factors, such as genetics, neural and neurobiological abnormalities, and psychological dysfunction (e.g., emotional dysregulation, negative emotionality) among these three conditions (Blake et al., 2018; Gibson et al., 2023; Goodkind et al., 2015; Lane et al., 2019; McTeague et al., 2017).”
Blandino, K. L., DiLeo, A., Antonoudiou, P., Weiss, G. L., & Maguire, J. L. (2025) · Psychopharmacology · doi:10.1007/s00213-025-06928-2 · Cited by 4
“These task-based functional assessments point to emotional and executive processing dysfunction across disorders (McTeague et al. 2017, 2020; Zhukovsky et al. 2022).”
Executive functions and psychopathology: A transdiagnostic network analysis
Ganai, U. J., & Bhushan, B. (2025) · PLoS ONE · doi:10.1371/journal.pone.0338435 · Cited by 5
“This interpretation aligns with meta-analytic evidence showing that working memory deficits contribute to emotional vulnerability, attentional dysregulation, and impairments in social functioning [92,93].”
Hu, W., Ran, X., Wu, Z., Zhu, H., Kou, Y., Zhang, S., Yang, G., Li, W., Yang, Y., Lv, L., et al. (2024) · Schizophrenia Research · doi:10.1016/j.schres.2024.06.016 · Cited by 4
Neuroscience in Pictures: 4. Depression
Keshavan, M. S., Song, S. H., & Salzman, C. (2025) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2025.104448 · Cited by 4
Illuminating posterior targets for transcranial magnetic stimulation beyond the prefrontal cortex
McCalley, D. M., Sanderson, L. L., Dowdle, L. T., Padula, C. B., Siddiqi, S., Ellard, K. K., & Taylor, J. J. (2025) · Nature Mental Health · doi:10.1038/s44220-025-00433-3 · Cited by 4
“In a meta-analysis of cognitive control neuroimaging studies using a transdiagnostic sample of over 5,000 patients, hypoactivation of the IPL was found across disorders relative to healthy controls during performance on a range of cognitive tasks 25 .”
Bogdanov, M., Scott, J. N., Esfand, S. M., Boyle, B. W., Lees, T., Li, M., Woronko, S. E., Linton, S. R., Miller, C., Li, S., et al. (2025) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-025-01336-7 · Cited by 5
“…cognitive control, defined as the general ability to monitor and adjust thoughts and actions to enable goal-directed behavior, ranks among the processes most commonly impaired across psychiatric diagnoses (Goschke, 2014; Luciana & Collins, 2022; McTeague et al., 2016; 2017; Snyder et al., 2015).”
A common neural signature between genetic and environmental risk for mental illness
Vedechkina, M., Holmes, J., Warrier, V., & Astle, D. E. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03513-1 · Cited by 8
“Our fi ndings add to a growing body of evidence that traditional diagnostic boundaries may not map onto distinct neurobiological processes [27, 71, 72].”
Wang, D., Fan, Q., Xiao, X., He, H., Yang, Y., & Li, Y. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0628-23.2023 · Cited by 4
Shin, D., Lee, J., Kim, Y., Park, J., Shin, D., Song, Y., Joo, E.-J., Roh, S., Lee, K. Y., Oh, S., et al. (2023) · Journal of Proteome Research · doi:10.1021/acs.jproteome.3c00580 · Cited by 4
Ibrahim, K., Iturmendi-Sabater, I., Vasishth, M., Barron, D. S., Guardavaccaro, M., Funaro, M. C., Holmes, A. J., McCarthy, G., Eickhoff, S. B., & Sukhodolsky, D. G. (2022) · Schizophrenia Research · doi:10.1016/j.schres.2023.12.003 · Cited by 5
Self-citationCommon neural dysfunction of economic decision-making across psychiatric conditions
Feng, C.-L., Liu, Q.-X., Huang, C.-B., Li, T., Wang, L., Liu, F.-L., Eickhoff, S., & Qu, C. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120641 · Cited by 4
“For instance, recent studies have revealed transdiagnostic deficits of cognitive control (McTeague et al., 2017), emotional processing (McTeague et al., 2020), and reward anticipation (Feng et al., 2022).”
Self-citationConcurrent and longitudinal neurostructural correlates of irritability in children
Archer, C., Jeong, H. J., Reimann, G. E., Durham, E. L., Moore, T. M., Wang, S., Ashar, D. A., & Kaczkurkin, A. N. (2024) · Neuropsychopharmacology · doi:10.1038/s41386-024-01966-4 · Cited by 4
“…a broad range of mental health conditions are characterized by similarities in brain activation patterns [29, 30] and impaired inhibitory control [31 – 33], particularly in regions associated with processing and assigning salience to environmental stimuli, such as the salience network [34].”
BackgroundExamining neural correlates of psychopathology using a lesion-based approach
Calamia, M. R., Markon, K. E., Sutterer, M. J., & Tranel, D. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.06.019 · Cited by 4
Cardinale, E. M., Naim, R., Haller, S. P., German, R. E., Botz-Zapp, C. A., Bezek, J. L., Jangraw, D. C., & Brotman, M. A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0252245 · Cited by 4
“The current study introduces a mobile application, “CALM-IT,” an engaging, patient and clinician user-friendly, accessible and disseminatable cognitive measure that probes inhibitory control, a well-validated behavioral construct that has been posited as one critical mechanism underlying childhood psychopathology broa…”
MethodTarchi, L., Damiani, S., La‐Torraca‐Vittori, P., Marini, S., Nazzicari, N., Castellini, G., Pisano, T., Politi, P., & Ricca, V. (2021) · Brain Imaging and Behavior · doi:10.1007/s11682-021-00584-8 · Cited by 4
“According to previous research in fact, neuroimaging biomarkers may have the potential to find different correspondences of psychopathology (Kebets et al., 2019; McTeague et al., 2017), in order to arrive to a more specific definition of cornerstone symptoms, their biological correlates and overall classifications sup…”
Jiang, L., Qiao, K., Li, Q., Hu, Y., Zhang, X., Wang, J., Peng, D., Fan, Q., Zhao, M., Sheng, J., et al. (2022) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2022.06.011 · Cited by 4
Decoding human spontaneous spiking activity in medial temporal lobe from scalp EEG
Yamin, H. G., Gurevitch, G., Gazit, T., Shpigelman, L., Fried, I., Nir, Y., Benjamini, Y., & Hendler, T. (2023) · iScience · doi:10.1016/j.isci.2023.106391 · Cited by 4
Neurobiological Clusters Are Associated With Trajectories of Overall Psychopathology in Youth
Wang, C. K., Hayes, R. A., Roeder, K., & Jalbrzikowski, M. (2023) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2023.04.007 · Cited by 6
Sun, Y., Bo, Q., Mao, Z., Tian, Q., Dong, F., Li, L., & Wang, C. (2024) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.230083 · Cited by 4
Elucidating the Role of the Ventrolateral Prefrontal Cortex in Economic Decision-Making
Wearne, T. A. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0330-18.2018 · Cited by 4
“The VLPFC has been shown to be coactive with numerous regions within both the central executive network (e.g., dorsolateral PFC and posterior parietal cortex) and the salience network (e.g., anterior insula and anterior cingulate cortex) (e.g., McTeague et al., 2017).”
BackgroundMethodEvaluating the modified common liability hypothesis of psychiatric comorbidity
Blanco, C., Wall, M. M., Feng, T., & Olfson, M. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.06.017 · Cited by 3
Li, C., Ke Cheng, X. U., Dong, M., Wei, Y., Duan, J., Han, S., Feng, R., Zhang, L., Zhao, P., Chen, Y., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/670562 · Cited by 3
Chapter 57. Treatment of Eating Disorders
Agras, W. S. (2024) · American Psychiatric Association Publishing eBooks · doi:10.1176/appi.books.9781615375523.as57 · Cited by 4
Metadata
- Authors
- McTeague, L. M., Huemer, J., Carreon, D. M., Jiang, Y., Eickhoff, S. B., & Etkin, A.
- Affiliations
- Medical University of South Carolina (US)
- Venue
- American Journal of Psychiatry
- Published
- 2017-07-01
- Volume
- 174
- Issue
- 7
- Pages
- 676-685
- ISSN
- 0002-953X (ISSN-L)
- 1535-7228
- PMC
- PMC5543416
- OpenAlex
- W2602886720
- Cited by
- 635
- References
- 48
- Citations by year
- 2026: 55 · 2025: 61 · 2024: 127 · 2023: 60 · 2022: 74 · 2021: 86 · 2020: 66 · 2019: 50 · 2018: 40 · 2017: 16
- FWCI
- 26.67
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- American Journal of Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- JuSER (Forschungszentrum Jülich) (submittedVersion)
- Funders
- Deutsche Forschungsgemeinschaft
- Österreichischen Akademie der Wissenschaften
- National Institute of Mental Health (R01MH074457, K23MH104849)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Keywords
- cognitive control, mental illness, multiple-demand network, salience network, prefrontal cortex, anterior insula, intraparietal sulcus, schizophrenia, bipolar disorder, depression, anxiety disorders, substance use disorders, cognitive impairment, activation likelihood estimation
- MeSH terms
- Mental Disorders, Brain, Brain Mapping, Dominance, Cerebral, Humans, Nerve Net, Neuropsychological Tests, Psychometrics, Reference Values, Cognitive Dysfunction
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