Controllability of Functional Brain Networks and Its Clinical Significance in First-Episode Schizophrenia
Overview
Authors
Affiliations
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.
Effects of topology on the controllability of brain connectomes through sparsity promoting control.
Lim J, Mitrai I, Daoutidis P, Stamoulis C Annu Int Conf IEEE Eng Med Biol Soc. 2025; 2024:1-4.
PMID: 40039296 PMC: 11883169. DOI: 10.1109/EMBC53108.2024.10782756.
Wang S, Wen H, Huang F, Sun C, Huang C, Wang S Neuroimage Clin. 2025; 45:103758.
PMID: 39983551 PMC: 11889738. DOI: 10.1016/j.nicl.2025.103758.
Wang X, Zhang X, Chang Y, Liao J, Liu S, Ming D Transl Psychiatry. 2025; 15(1):36.
PMID: 39885141 PMC: 11782534. DOI: 10.1038/s41398-025-03256-z.
Li Z, Liu Z, Gao Y, Tang B, Gu S, Luo C Front Neurosci. 2024; 18:1433577.
PMID: 39575098 PMC: 11578951. DOI: 10.3389/fnins.2024.1433577.
Microstate D as a Biomarker in Schizophrenia: Insights from Brain State Transitions.
Yao R, Song M, Shi L, Pei Y, Li H, Tan S Brain Sci. 2024; 14(10).
PMID: 39451999 PMC: 11505886. DOI: 10.3390/brainsci14100985.