Controllability of Functional Brain Networks and Its Clinical Significance in First-Episode Schizophrenia
- PMID: 36402458
- PMCID: PMC10154712
- DOI: 10.1093/schbul/sbac177
Controllability of Functional Brain Networks and Its Clinical Significance in First-Episode Schizophrenia
Abstract
Background and hypothesis: Disrupted control of brain state transitions may contribute to the diverse dysfunctions of cognition, emotion, and behavior that are fundamental to schizophrenia. Control theory provides the rationale for evaluating brain state transitions from a controllability perspective, which may help reveal the brain mechanism for clinical features such as cognitive control deficits associated with schizophrenia. We hypothesized that brain controllability would be altered in patients with schizophrenia, and that controllability of brain networks would be related to clinical symptomatology.
Study design: Controllability measurements of functional brain networks, including average controllability and modal controllability, were calculated and compared between 125 first-episode never-treated patients with schizophrenia and 133 healthy controls (HCs). Associations between controllability metrics and clinical symptoms were evaluated using sparse canonical correlation analysis.
Study results: Compared to HCs, patients showed significantly increased average controllability (PFDR = .023) and decreased modal controllability (PFDR = .023) in dorsal anterior cingulate cortex (dACC). General psychopathology symptoms and positive symptoms were positively correlated with average controllability in regions of default mode network and negatively associated with average controllability in regions of sensorimotor, dorsal attention, and frontoparietal networks.
Conclusions: Our findings suggest that altered controllability of functional activity in dACC may play a critical role in the pathophysiology of schizophrenia, consistent with the importance of this region in cognitive and brain state control operations. The demonstration of associations of functional controllability with psychosis symptoms suggests that the identified alterations in average controllability of brain function may contribute to the severity of acute psychotic illness in schizophrenia.
Keywords: controllability; resting-state functional magnetic resonance imaging; schizophrenia; sparse canonical correlation analysis.
© The Author(s) 2022. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center.
Figures


Similar articles
-
Linked patterns of symptoms and cognitive covariation with functional brain controllability in major depressive disorder.EBioMedicine. 2024 Aug;106:105255. doi: 10.1016/j.ebiom.2024.105255. Epub 2024 Jul 19. EBioMedicine. 2024. PMID: 39032426 Free PMC article.
-
Altered controllability of white matter networks and related brain function changes in first-episode drug-naive schizophrenia.Cereb Cortex. 2023 Feb 7;33(4):1527-1535. doi: 10.1093/cercor/bhac421. Cereb Cortex. 2023. PMID: 36790361
-
Functional dysconnectivity of anterior cingulate subregions in schizophrenia and psychotic and nonpsychotic bipolar disorder.Schizophr Res. 2023 Apr;254:155-162. doi: 10.1016/j.schres.2023.02.023. Epub 2023 Mar 7. Schizophr Res. 2023. PMID: 36889182
-
Functional brain network controllability dysfunction in Alzheimer's disease and its relationship with cognition and gene expression profiling.J Neural Eng. 2024 Mar 28;21(2). doi: 10.1088/1741-2552/ad357e. J Neural Eng. 2024. PMID: 38502960
-
[Psychopathology of schizophrenia and brain imaging].Fortschr Neurol Psychiatr. 2008 May;76 Suppl 1:S49-56. doi: 10.1055/s-2008-1038152. Fortschr Neurol Psychiatr. 2008. PMID: 18461545 Review. German.
Cited by
-
From periphery immunity to central domain through clinical interview as a new insight on schizophrenia.Sci Rep. 2024 Mar 8;14(1):5755. doi: 10.1038/s41598-024-56344-3. Sci Rep. 2024. PMID: 38459093 Free PMC article.
-
White matter microstructural integrity mediates associations between prenatal endocrine-disrupting chemicals exposure and intelligence in adolescents.Neuroimage Clin. 2025;45:103758. doi: 10.1016/j.nicl.2025.103758. Epub 2025 Feb 17. Neuroimage Clin. 2025. PMID: 39983551 Free PMC article.
-
Predicting treatment outcomes in major depressive disorder using brain magnetic resonance imaging: a meta-analysis.Mol Psychiatry. 2025 Mar;30(3):825-837. doi: 10.1038/s41380-024-02710-6. Epub 2024 Aug 26. Mol Psychiatry. 2025. PMID: 39187625
-
Thalamic Network Controllability Predicts Cognitive Impairment in Multiple Sclerosis.Hum Brain Mapp. 2025 Jul;46(10):e70284. doi: 10.1002/hbm.70284. Hum Brain Mapp. 2025. PMID: 40637347 Free PMC article.
-
Morphology of Anterior Cingulate Cortex and Its Relation to Schizophrenia.J Clin Med. 2022 Dec 21;12(1):33. doi: 10.3390/jcm12010033. J Clin Med. 2022. PMID: 36614833 Free PMC article.
References
-
- Narr KL, Leaver AM.. Connectome and schizophrenia. Curr Opin Psychiatry. 2015;28(3):229–235. - PubMed
-
- Stam CJ. Modern network science of neurological disorders. Nat Rev Neurosci. 2014;15(10):683–695. - PubMed
-
- Friston KJ, Harrison L, Penny W.. Dynamic causal modelling. Neuroimage. 2003;19(4):1273–1302. - PubMed
MeSH terms
LinkOut - more resources
Full Text Sources
Medical