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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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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All for One and One for All: Mental Disorders in One Dimension
Caspi, A., & Moffitt, T. E. (2018) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.17121383 · Cited by 918
“pairments are shared by all of the disorders analyzed (84).”
BackgroundTransdiagnostic approaches to mental health problems: Current status and future directions.
Dalgleish, T., Black, M., Johnston, D., & Bevan, A. (2020) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000482 · Cited by 883
“…et al., 2016; Pettersson, Larsson, & Lichtenstein, 2016), structural and functional brain research (e.g., Baker et al., 2019; Goodkind et al., 2015; McTeague et al., 2017; Meyer, 2017; Shanmugan et al., 2016; Swartz, Knodt, Radtke, & Hariri, 2015), studies investigating the influence of…”
Sydnor, V. J., Larsen, B., Bassett, D. S., Alexander‐Bloch, A. F., Fair, D. A., Liston, C. M., Mackey, A. P., Milham, M. P., Pines, A. R., Roalf, D. R., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.06.016 · Cited by 750
The Critical Relationship Between Anxiety and Depression
Kalin, N. H. (2020) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2020.20030305 · Cited by 702
“These findings are consistentwithmeta-analyses that reveal shared structural and functional brain alterations across various psychiatric illnesses, including anxiety andmajor depression, in circuits involving emotion regulation (13), executive function (14), and cognitive control (15).”
BackgroundCaspi, A., Houts, R. M., Ambler, A., Danese, A., Elliott, M. L., Hariri, A., Harrington, H., Hogan, S., Poulton, R., Ramrakha, S., et al. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.3221 · Cited by 633
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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