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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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Auditory event-related electroencephalographic potentials in borderline personality disorder
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Self-citationStriatal connectopic maps link to functional domains across psychiatric disorders
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“Within such frameworks, neuroimaging studies have made significant progress in linking specific domains of functioning to brain networks and regions across disorders [6, 8, 9].”
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“ACC are related to reduced gray matter volume in those areas (McTeague et al. 2017), while regions of hyperactivation represent inefficient neural mechanisms or compensatory neural”
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Neuropsychiatric disorders: An immunological perspective
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“Recent large-scale meta-analytic studies found that many disorders show transdiagnostic structural and functional alterations in mostly fronto-parietal brain regions (Goodkind et al., 2015; Janiri et al., 2019; McTeague et al., 2017).”
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“6,7 Despite its central role in cognition, there is little consensus on how the LPFC is functionally organized.”
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“In a meta-analysis of whole-brain functional neuroimaging, non-psychotic disorders such as depression were found to manifest as abnormal activation in the right anterior insula/prefrontal ventral lateral cortex and right intraparietal sulcus (McTeague et al., 2017).”
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“Such reduced GMV are found to predict cognitive impairment and affective dysfunction in both MDD and BD [11].”
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“Given that cognitive control ability is one of the most notable transdiagnostic risk factors (Martel et al., 2017; McTeague et al., 2017; Robson et al., 2020; Snyder et al., 2017), specific links between midfrontal theta and transdiagnostic risk are also generally consistent with the notion that…”
Convergent neurobiological predictors of mood and anxiety symptoms and treatment response
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Altered neural responses to social fairness in bipolar disorder
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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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