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 adult PTSD neuroimaging findings are unlikely to be specific to PTSD and may represent common neural abnormalities across psychiatric disorders.
“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]
The Experiment Inclusion Criteria section includes PTSD among the anxiety disorders studied, and the Discussion reports common cognitive-control circuit disruptions across disorders with limited diagnosis-specific effects. That supports the possibility that some PTSD neuroimaging findings are transdiagnostic, but the paper does not establish that many adult PTSD neuroimaging findings generally are nonspecific; its analysis is limited to cognitive-control tasks. (LLM, conf=0.84)
Experimental — accuracy not yet measuredMeta-analyses across psychiatric disorders have found more similarities than differences in functional and structural neuroimaging abnormalities across disorders, despite variance in symptoms.
“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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Evidence-based umbrella review of 162 peripheral biomarkers for major mental disorders
Carvalho, A. F., Solmi, M., Sanches, M., Machado, M. O., Stubbs, B., Ajnakina, O., Sherman, C., Sun, Y. R., Liu, C. S., Brunoni, A. R., et al. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0835-5 · Cited by 204 · see citing works
Deep learning for small and big data in psychiatry
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The erring brain: Error‐related negativity as an endophenotype for OCD—A review and meta‐analysis
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Structural and functional correlates of smartphone addiction
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Disrupted Dorsal Mid-Insula Activation During Interoception Across Psychiatric Disorders
Nord, C. L., Lawson, R. P., & Dalgleish, T. (2021) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2020.20091340 · Cited by 171 · see citing works
“The resulting cluster-corrected ALE map identified transdiagnostic patterns of ‘disrupted activation’ during interoception for psychiatric participants versus controls (36) (our primary, pre-registered analysis).”
BackgroundEvidence for embracing normative modeling
Rutherford, S. E., Barkema, P., Tso, I. F., Sripada, C., Beckmann, C. F., Ruhé, H. G., & Marquand, A. F. (2023) · eLife · doi:10.7554/elife.85082 · Cited by 178 · see citing works
“These effects are furthermore frequently aspecific to an illness or disorder ( Baker et al., 2019 ; Goodkind et al., 2015 ; McTeague et al., 2017 ; Sprooten et al., 2017 ) and inconsistent or contradictory ( Filip et al., 2022 ; Lee et al., 2007 ; Pereira-Sanchez and Castellanos, 2021 ) yielding…”
BackgroundAnxiety disorders in children and adolescents: A summary and overview of the literature
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Self-citationA multi-site, multi-disorder resting-state magnetic resonance image database
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The Heterogeneity of Mental Health Assessment
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The effects of early life adversity on children’s mental health and cognitive functioning
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“Similar to brain structure, alterations in neural activation across regions implicated in cognitive control have been associated with psychopathology transdiagnostically [123, 133].”
BackgroundTervo‐Clemmens, B., Quach, A., Calabro, F. J., Foran, W., & Luna, B. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116476 · Cited by 145 · see citing works
“, 2015)(Buckholtz and Meyer-Lindenberg, 2012) and a recent metaanalysis (McTeague et al., 2017) suggest dysfunction of cortically-mediated cognitive control systems acts as a common, transdiagnostic risk factor for psychiatric disorders.”
Prediction of neurocognition in youth from resting state fMRI
Sripada, C., Rutherford, S. E., Angstadt, M., Thompson, W. K., Luciana, M. M., Weigard, A. S., Hyde, L. W., & Heitzeg, M. M. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0481-6 · Cited by 139 · see citing works
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Practical recommendations to conduct a neuroimaging meta-analysis for neuropsychiatric disorders
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“, 2018) and across multiple forms of psychopathology (McTeague et al., 2017).”
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Psychosis Biotypes: Replication and Validation from the B-SNIP Consortium
Clementz, B. A., Parker, D., Trotti, R. L., McDowell, J. E., Keedy, S., Keshavan, M. S., Pearlson, G. D., Gershon, E. S., Ivleva, E. I., Huang, L.-Y., et al. (2021) · Schizophrenia Bulletin · doi:10.1093/schbul/sbab090 · Cited by 127 · see citing works
Shared vulnerability for connectome alterations across psychiatric and neurological brain disorders
de Lange, S. C., Scholtens, L. H., Initiative, A. D. N., van den Berg, L. H., Boks, M. P., Bozzali, M., Cahn, W., Dannlowski, U., Durston, S., Geuze, E., et al. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0659-6 · Cited by 120 · see citing works
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Global research priorities for youth mental health
Mei, C., Fitzsimons, J., Allen, N. B., Álvarez‐Jiménez, M., Amminger, G. P., Browne, V., Cannon, M. D., Davis, M., Dooley, B. A., Hickie, I. B., et al. (2020) · Early Intervention in Psychiatry · doi:10.1111/eip.12878 · Cited by 117 · see citing works
“This approach is also consistent with the shared genetic, neurobiological and neuropsychological correlates of mental disorders (Anttila et al., 2018; Goodkind et al., 2015; Lee et al., 2015; McTeague et al., 2017).”
ResultA transdiagnostic network for psychiatric illness derived from atrophy and lesions
Taylor, J. J., Lin, C., Talmasov, D., Ferguson, M. A., Schaper, F. L. W. V. J., Jiang, J., Goodkind, M. S., Grafman, J. H., Etkin, A., Siddiqi, S., et al. (2023) · Nature Human Behaviour · doi:10.1038/s41562-022-01501-9 · Cited by 107 · see citing works
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A Reckoning and Research Agenda for Neuroimaging in Psychiatry
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Self-citationCulture and psychopathology: An attempt at reconsidering the role of social learning
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Closed-loop enhancement and neural decoding of cognitive control in humans
Basu, I., Yousefi, A., Crocker, B., Zelmann, R., Paulk, A. C., Peled, N., Ellard, K. K., Weisholtz, D. S., Cosgrove, G. R., Deckersbach, T., et al. (2021) · Nature Biomedical Engineering · doi:10.1038/s41551-021-00804-y · Cited by 109 · see citing works
Using fMRI connectivity to define a treatment-resistant form of post-traumatic stress disorder
Etkin, A., Maron-Katz, A., Wu, W., Fonzo, G. A., Huemer, J., Vértes, P. E., Patenaude, B., Richiardi, J., Goodkind, M. S., Keller, C. J., et al. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aal3236 · Cited by 103 · see citing works
“We have found that disruptions in VAN are a feature common to many major psychiatric disorders (64, 65).”
BackgroundSelf-citationAn insula hierarchical network architecture for active interoceptive inference
Fermin, A. S. R., Friston, K., & Yamawaki, S. (2022) · Royal Society Open Science · doi:10.1098/rsos.220226 · Cited by 101 · see citing works
A shared neural basis underlying psychiatric comorbidity
Xie, C., Xiang, S., Shen, C., Peng, X.-R., Kang, J., Li, Y., Cheng, W., He, S., Bobou, M., Broulidakis, M. J., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02317-4 · Cited by 97 · see citing works
“The hyperconnectivity (or hyperactivation) of prefrontal circuits in psychiatric disorders is usually explained as a neural compensation of executive resources to the less efficient integration of bottom-up sensory information 9,39,40 .”
Guo, Z., Tang, X., Xiao, S., Yan, H., Sun, S., Yang, Z., Huang, L., Chen, Z., & Wang, Y. (2024) · Molecular Autism · doi:10.1186/s13229-024-00593-6 · Cited by 111 · see citing works
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The neural architecture of executive functions is established by middle childhood
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The utility of an RDoC motor domain to understand psychomotor symptoms in depression
Walther, S., Bernard, J. A., Mittal, V. A., & Shankman, S. A. (2018) · Psychological Medicine · doi:10.1017/s0033291718003033 · Cited by 90 · see citing works
“For some of the constructs there is evidence of transdiagnostic principles guiding neural activation (McTeague et al., 2017) or physiological reactions (Lang et al., 2016) during tasks.”
BackgroundJin, Y., Sha, S., Tian, T., Wang, Q., Liang, S., Wang, Z., Liu, Y., Cheung, T. C. C., Su, Z., Ng, C. H., et al. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.06.051 · Cited by 93 · see citing works
Volatility Estimates Increase Choice Switching and Relate to Prefrontal Activity in Schizophrenia
Deserno, L., Boehme, R., Mathys, C. D., Katthagen, T., Kaminski, J. A., Stephan, K. E., Heinz, A., & Schlagenhauf, F. (2019) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.10.007 · Cited by 80 · see citing works
Generalizable brain network markers of major depressive disorder across multiple imaging sites
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Self-citationConverging Structural and Functional Evidence for a Rat Salience Network
Tsai, P.-J., Keeley, R. J., Carmack, S. A., Vendruscolo, J. C. M., Lu, H., Gu, H., Vendruscolo, L. F., Koob, G. F., Lin, C., Stein, E. A., et al. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.06.023 · Cited by 80 · see citing works
A critical review of research on executive functions in sport and exercise
Furley, P., Schütz, L.-M., & Wood, G. (2023) · International Review of Sport and Exercise Psychology · doi:10.1080/1750984x.2023.2217437 · Cited by 84 · see citing works
“Without going into detail, EFs have been shown to depend primarily on the prefrontal cortex and interconnected brain regions like the anterior cingulate cortex and parietal cortex (Aron, 2007; Braver & Barch, 2002; McTeague et al., 2017; Petrides, 2005).”
Chen, G., Wang, J., Gong, J., Qi, Z., Fu, S., Tang, G., Chen, P., Huang, L., & Wang, Y. (2022) · Psychological Medicine · doi:10.1017/s0033291722002392 · Cited by 77 · see citing works
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Psychedelic therapy's transdiagnostic effects: A research domain criteria (RDoC) perspective
Kelly, J. R., Gillan, C. M., Prenderville, J., Kelly, C., Harkin, A., Clarke, G., & O'Keane, V. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.800072 · Cited by 69 · see citing works
Lasting connectivity increase and anxiety reduction via transcranial alternating current stimulation
Clancy, K. J., Baisley, S. K., Albizu, A., Kartvelishvili, N., Ding, M., & Li, W. (2018) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsy096 · Cited by 69 · see citing works
“Meanwhile, network views of psychopathology have gained rapid traction in recent years, advancing conceptualization of mental disorders from local neural aberrations to largescale circuit anomalies (Kaiser et al., 2015; Clancy et al., 2017; McTeague et al., 2017).”
BackgroundKeding, T. J., Heyn, S. A., Russell, J. D., Zhu, X., Cisler, J. M., McLaughlin, K. A., & Herringa, R. J. (2021) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2021.20081192 · Cited by 66 · see citing works
“In fact, meta-analyses across all DSM-IV axis I disorders suggest that gray matter volume in the insular cortex is the best differentiator of individuals with diagnosable psychopathology broadly and those without (50, 51).”
BackgroundIdentification of Common Thalamocortical Dysconnectivity in Four Major Psychiatric Disorders
Tu, P., Bai, Y. M., Li, C., Chen, M., Lin, W.-C., Chang, W.-C., & Su, T. (2018) · Schizophrenia Bulletin · doi:10.1093/schbul/sby166 · Cited by 69 · see citing works
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“Supporting this notion, emerging evidence from cognitive neuroscience suggests that the same brain regions implicated in EF are transdiagnostically associated with psychopathology, including the dorsal anterior cingulate cortex and anterior insula (Goodkind et al., 2015; McTeague et al., 2017).”
BackgroundFew-Shot Domain-Adaptive Anomaly Detection for Cross-Site Brain Images
Su, J., Shen, H., Peng, L., & Hu, D. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2021.3125686 · Cited by 68 · see citing works
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“This is an open access article u in several neuropsychiatric disorders, implicating cognitive control as a promising transdiagnostic treatment target [2,3].”
BackgroundSelf-citationAddressing the Causality Gap in Human Psychiatric Neuroscience
Etkin, A. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.3610 · Cited by 65 · see citing works
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“This is an open access article psychopathological conditions [1,2], comprise the intentional selection of thoughts, emotions, and behaviours based on current task demands [3] involving functions of attention, memory, and emotional control [4], and are associated with altered patterns of brain activation [5,6].”
Feng, C., Becker, B., Huang, W., Wu, X., Eickhoff, S. B., & Chen, T. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.02.023 · Cited by 58 · see citing works
“Moreover, evidence from recent brain imaging studies has suggested a common neurobiological substrate across psychopathological disorders (Goodkind et al., 2015; McTeague et al., 2017; Sha et al., 2017; Sprooten et al., 2017).”
Self-citationTransdiagnostic neuroimaging markers of psychiatric risk: A narrative review
Vanes, L. D., & Dolan, R. (2020) · NeuroImage: Clinical · doi:10.1016/j.nicl.2021.102634 · Cited by 61 · see citing works
“evident in child and adolescent psychiatric samples, suggesting an important role for this region in cognitive dyscontrol throughout development (McTeague et al., 2017).”
Motor cortex inhibition and modulation in children with ADHD
Gilbert, D. L., Huddleston, D. A., Wu, S. W., Pedapati, E. V., Horn, P. S., Hirabayashi, K., Crocetti, D., Wassermann, E. M., & Mostofsky, S. H. (2019) · Neurology · doi:10.1212/wnl.0000000000007899 · Cited by 62 · see citing works
A data-driven framework for mapping domains of human neurobiology
Beam, E., Potts, C., Poldrack, R. A., & Etkin, A. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00948-9 · Cited by 56 · see citing works
“40,41 Intriguingly, the insula and anterior cingulate have been identified as sites of common vulnerability across psychotic and affective disorders, 42 suggesting that a deeper understanding of their processing roles would have widespread clinical implications.”
Self-citationInsular subdivisions functional connectivity dysfunction within major depressive disorder
Peng, X., Lin, P., Wu, X., Gong, R., Yang, R., & Wang, J. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.11.018 · Cited by 60 · see citing works
Neural networks of aggression: ALE meta-analyses on trait and elicited aggression
Wong, T. Y., Sid, A., Wensing, T., Eickhoff, S. B., Habel, U., Gur, R. C., & Nickl‐Jockschat, T. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1765-3 · Cited by 63 · see citing works
“Recent neuroimaging meta-analyses have identified domain-nonspecific neural disruptions across psychiatric disorders in the salience (or anteriorcingulo-insular) network (Goodkind et al. 2015; McTeague et al. 2017).”
Self-citationWang, X., Cheng, B., Roberts, N., Wang, S., Luo, Y., Tian, F., & Yue, S. (2021) · Human Brain Mapping · doi:10.1002/hbm.25618 · Cited by 56 · see citing works
Exposure therapy for pediatric irritability: Theory and potential mechanisms
Kircanski, K., Craske, M. G., Averbeck, B. B., Pine, D. S., Leibenluft, E., & Brotman, M. A. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2019.04.007 · Cited by 59 · see citing works
“It refers to the capacity to deploy cognitive resources flexibly in response to changing environmental contingencies (McTeague et al., 2017).”
BackgroundTang, Y., Wang, J., Zhang, T., Xu, L. N., Qian, Z., Cui, H., Tang, X. Y., Whitfield‐Gabrieli, S., Whitfield, S., Shenton, M. E., et al. (2019) · Schizophrenia Research · doi:10.1016/j.schres.2019.02.014 · Cited by 57 · see citing works
“Since the ACC is a part of the salience network and plays an important role in attention shifting and control, more prominent abnormality of P300 novel amplitude may reflect deficits in salience processing of as supported by the right frontal cortex and ACC and leading to the conversion to psychosis (McTeague et al.,…”
BackgroundHuang, C., Luo, Q., Palaniyappan, L. K., Yang, A. C., Hung, C., Chou, K., Lo, C. Z., Liu, M., Tsai, S., Barch, D. M., et al. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.01.010 · Cited by 57 · see citing works
“We have achieved this in the current study and have not only confirmed the involvement of SVN and DMN in these disorders (10,11,31), but also provided new insights on the illnessspecific nature of the ECN, which has been previously considered as a transdiagnostic feature by the meta-analysis at a brain regional level…”
BackgroundResultInfluentialHurstak, E., Johnson, J. K., Tieu, L., Guzman, D., Ponath, C., Lee, C. T., Jamora, C. W., & Kushel, M. (2017) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2017.06.002 · Cited by 56 · see citing works
“Studies in the general population demonstrate that cognitive deficits are common in psychiatric disorders (McTeague et al., 2017).”
BackgroundKlugah‐Brown, B., Zhou, X., Pradhan, B., Zweerings, J., Mathiak, K., Biswal, B. B., & Becker, B. (2021) · Addiction Biology · doi:10.1111/adb.12997 · Cited by 56 · see citing works
Elbau, I., Brücklmeier, B., Uhr, M., Arloth, J., Czamara, D., Spoormaker, V. I., Czisch, M., Stephan, K. E., Binder, E. B., & Sämann, P. G. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1804340115 · Cited by 56 · see citing works
“, hippocampus (HC), anterior cingulate cortex, and ventromedial prefrontal cortex (9)] substantially overlap with regions functionally or structurally altered in major depression (10–16) and even across affective and psychotic disorders (17, 18).”
BackgroundNeural underpinnings of individual differences in emotion regulation: A systematic review
Morawetz, C., & Basten, U. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105727 · Cited by 60 · see citing works
“…emotion regulation with lateral PFC activity as an outcome measure holds promise for unravelling biomarkers, addressing trans-diagnostic features (McTeague et al., 2017; Phillips et al., 2008; Zil-verstand et al., 2017), and fostering resilience, thereby advancing our understanding and…”
BackgroundWiegand, A., Sommer, A., Nieratschker, V., & Plewnia, C. (2019) · Scientific Reports · doi:10.1038/s41598-019-43234-2 · Cited by 59 · see citing works
Caulfield, K. A., Indahlastari, A., Nissim, N. R., Lopez, J. W., Fleischmann, H. H., Woods, A. J., & George, M. S. (2020) · Neuromodulation Technology at the Neural Interface · doi:10.1111/ner.13342 · Cited by 49 · see citing works
Liu, R., Huang, Z.-A., Hu, Y. F., Zhu, Z., Wong, K., & Tan, K. C. (2022) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2022.3219551 · Cited by 53 · see citing works
“This observation is consistent with the theoretical evidence in previous studies [54] that the common disruption pattern across mental disorders in cortical areas could result in gray matter reduction, vulnerable to broad-spectrum psychopathology.”
ResultDecoding task engagement from distributed network electrophysiology in humans
Provenza, N. R., Paulk, A. C., Peled, N., Restrepo, M. I., Cash, S. S., Dougherty, D. D., Eskandar, E. N., Borton, D. A., & Widge, A. S. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab2c58 · Cited by 51 · see citing works
Nakada, S., Ho, F. K. W., Celis-Morales, C. A., Jackson, C., & Pell, J. P. (2023) · European Psychiatry · doi:10.1192/j.eurpsy.2023.2425 · Cited by 52 · see citing works
- 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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