The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
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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Citations
Cites
Diamond, A. (2013) · Annual Review of Psychology · doi:10.1146/annurev-psych-113011-143750 · Cited by 13,268
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426 · cited 1×
“Given that the swath of cortex extending from the anterior to the midcingulate/presupplementary motor cortex has been characterized as part of a coherent salience network (10, 15), the discordant hypo- and hyperactivation observed here between the more anterior and posterior cingulate, respectively, might seem unexpec…”
BackgroundSaliency, switching, attention and control: a network model of insula function
Menon, V., & Uddin, L. Q. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0262-0 · Cited by 5,592
Functional Network Organization of the Human Brain
Power, J. D., Cohen, A. L., Nelson, S. M., Wig, G. S., Barnes, K. A., Church, J. A., Vogel, A. C., Laumann, T. O., Miezin, F. M., Schlaggar, B. L., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.006 · Cited by 4,124 · cited 1×
“Whole brain graph theoretical approaches have similarly revealed this distinction, leading to speculation that the more anterior cingulate subnetwork is more characteristic of the saliencenetwork,whereas themore posterior cingulate subnetwork is more representative of a cingulo-opercular task control network (38).”
BackgroundMiyake, A., & Friedman, N. P. (2012) · Current Directions in Psychological Science · doi:10.1177/0963721411429458 · Cited by 3,944 · cited 1×
“An underlying, largely heritable, common factor reflecting general cognitive control capacity also emerges (2, 3).”
BackgroundEtkin, A., & Wager, T. D. (2007) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2007.07030504 · Cited by 3,391
Self-citationSridharan, D., Levitin, D. J., & Menon, V. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800005105 · Cited by 2,892
Common regions of the human frontal lobe recruited by diverse cognitive demands
Duncan, J., & Owen, A. M. (2000) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01633-7 · Cited by 2,498 · cited 1×
“Similar to the latent or common cognitive control factor observed in behavioral measures of cognitive processing, the activity of this network suggests a “common core” recruited across diverse cognitive challenges (18).”
BackgroundThe variable nature of cognitive control: a dual mechanisms framework
Braver, T. S. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.12.010 · Cited by 2,482
The p Factor: One General Psychopathology Factor in the Structure of Psychiatric Disorders?
Caspi, A., Houts, R. M., Belsky, D. W., Goldman-Mellor, S. J., Harrington, H., Israel, S., Meier, M. H., Ramrakha, S., Shalev, I., Poulton, R., et al. (2014) · Clinical Psychological Science · doi:10.1177/2167702613497473 · Cited by 2,449 · cited 2×
“Higher loadingsonthegeneral psychopathology factor predict worse performance on tasks of working memory and planning as well as limited academic achievement and lower IQ (7).”
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Dirupo, G., Westwater, M. L., Khaikin, S., Feder, A., DePierro, J. M., Charney, D. S., Murrough, J. W., & Morris, L. S. (2026) · medRxiv · doi:10.64898/2026.03.05.26347639
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Palazón-Llecha, A., Trujols, J., Madre, M., Duran‐Sindreu, S., Batlle, F., & Mallorquí‐Bagué, N. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.106574
Sawada, Y., Edgar, E. V., Ibrahim, K., Reid, L., Polack, R. G., Bloch, M. H., & Crowley, M. J. (2026) · Cerebral Cortex · doi:10.1093/cercor/bhag031
D’Imperio, A., Delessert, D., Ienca, M., & Starke, G. (2026) · BJPsych Open · doi:10.1192/bjo.2026.11022
Zhou, C., Fan, Y., Zhang, A., Cheng, X., Cui, J., Li, K., Liu, C., Yu, H., & Li, S. (2026) · Annals of General Psychiatry · doi:10.1186/s12991-026-00653-6
“For instance, impairments in cognitive control are linked to dysfunction in frontoparietal networks also implicated in attention-deficit/hyperactivity disorder and major depressive disorder [46].”
Williams, C. M. (2022) · theses.fr (ABES) · doi:10.70675/4418ee9dz5bd3z43f7za4efz5ddac1baed0f
Zhang, X., 朱蓉蓉, Haider, A., Guo, Q., Wang, D., & Zhang, X.-Y. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.121787
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Teich, C. D., Rawls, E., Stevens, K. L., Kang, S. S. S., Davenport, N. D., Sponheim, S. R., Polusny, M. A., & Marquardt, C. A. (2026) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-026-01434-0
“Disruptions in cognitive control and emotion regulation processes are prevalent across various psychopathologies (Luciana & Collins, 2022; McTeague et al., 2017), yet the role of FMT activity is not uniform across psychiatric conditions.”
Secara, M. T., Khan, Z., Rashidi, A. G., Oliver, L. D., Yu, J., Foussias, G., Dickie, E. W., Szatmári, P., Desarkar, P., Lai, M., et al. (2026) · Human Brain Mapping · doi:10.1002/hbm.70496 · Cited by 1
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“In seminal meta-analyses, reduced motoric self control (88) as well as blunted recruitment of neurocircuitry thought to govern motoric self control (89) have been reported in most mental illnesses.”
Liu, D., Liu, S., & Luo, L. (2026) · PsyCh Journal · doi:10.1002/pchj.70107
“For example, McTeague et al. (2017) found common patterns of neural dysfunction in reward processing and emotional regulation across mood, anxiety, and psychotic disorders.”
Wong, K. S., Nagrale, S. S., Pipia, V. L., Sachse, E. M., Rijn, E. M. D.-V., Kim, J., Eiting, S., McInnes, A. N., Palnitkar, T., Chandrasekaran, J., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.08.730545
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“This hypothesis is consistent with previous studies that suggest the insula and ACC are crucial for psychological well-being and adaptive functioning (Goodkind et al. 2015; McTeague et al. 2017; Sha et al. 2019; Zhang et al. 2021; Zhao et al. 2021).”
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Kelly, C., Cooley, B. J., Zeng, L., Hurzeler, T. P., Manning, V., McNally, G. P., Watt, J., Haber, P., & Morley, K. C. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106911
Verduyn, Y., Kia, S. M., & Brouwer, H. (2026) · Psychiatry Research Communications · doi:10.1016/j.psycom.2026.100279
Johnson, L., Bowman, J., Voss, M., Middleton, V. J., Rodriguez, J., Dojnov, A., Marino, B., Steinfink, D., Donachie, N., Vaughn, D. A., et al. (2026) · Transcranial magnetic stimulation . · doi:10.1016/j.transm.2026.100329
Zhao, W. D., Chen, H., Xiao, H., Wan, Y., Wang, S., Tsai, S., Guo, S., & Lin, C. (2026) · Schizophrenia Bulletin · doi:10.1093/schbul/sbag127
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Ellard, K. K., Zheng, J., Lenza, B., Sidelinger, L., Carr, C., Makhoul, W., & Sheline, Y. I. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106939
Ganai, U. J., & Bhushan, B. (2026) · Psychological Medicine · doi:10.1017/s003329172610556x
“Converging evidence indicates that disruptions inthese systems extend beyond individual diagnoses and are implicated in transdiagnostic risk dimensions, including executive dysfunction, attentional dysregulation, and general psychopathology (McTeague et al., 2017).”
Su, Y., Liu, Y., Chen, J., Li, X., Liu, T., & Fu, W. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1972200
“Frontoparietal fi ndings generate the hypothesis that treatment-associated changes extend to systems supporting attention and executive function, domains that are broadly impaired in MDD (53, 54).”
Carvalho, S. (2026) · Behavioral Sciences · doi:10.3390/bs16101800
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McInnes, A. N., Pipia, V. L., Maynard, K. L., Kalender, G., & Widge, A. S. (2026) · Brain stimulation · doi:10.1016/j.brs.2026.103227 · Cited by 1
Diao, Y., Huang, Y., Zhu, B., Guo, M., Wang, W., Li, Z., Zhang, X., Li, K., Li, W., Wang, H., et al. (2026) · Biological Psychiatry · doi:10.1016/j.biopsych.2026.09.020 · Cited by 1
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Allen, T. A., Schreiber, A., Blain, S. D., Carlisi, C. O., DeYoung, C. G., Fornito, A., Gillan, C. M., Goghari, V. M., Hall, N. T., Homan, P., et al. (2026) · Nature Reviews Psychology · doi:10.1038/s44159-026-00621-7 · Cited by 1
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Deng, M., Lui, S. S. Y., & Chan, R. C. K. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.107033
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Jiang, C., Zhou, H., Yuan, Y., Xu, W., Zhou, Y., Sun, T., You, L., Chen, S., Yin, Y., Yue, Y., et al. (2026) · Molecular Psychiatry · doi:10.1038/s41380-026-03928-2
Zhou, Y., & Zhao, X. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1962306
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Chen, M., Chen, Y., & Qin, B. (2026) · Biogerontology · doi:10.1007/s10522-026-10534-w
“…life and social functioning but is also closely associated with the onset and progression of various neuropsychiatric disorders(Lange et al. 2017; McTeague et al. 2017; Sachdev et al. 2026; Schretlen et al. 2025) and frequently coexists with functional impairment and increased mortality risk in…”
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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