精神分裂症(面向对象编程)
心理学
静息状态功能磁共振成像
精神分裂症谱
精神科
神经科学
内科学
医学
精神病
作者
Urvakhsh Meherwan Mehta,Dhruva Ithal,Neelabja Roy,Shreshth Shekhar,Ramajayam Govindaraj,Chaitra T. Ramachandraiah,Nicolas R. Bolo,Rose Dawn Bharath,Jagadisha Thirthalli,Ganesan Venkatasubramanian,Bangalore N. Gangadhar,Matcheri S. Keshavan
标识
DOI:10.1016/j.biopsych.2024.01.027
摘要
Abstract
Background
Identifying stable and consistent resting-state functional connectivity patterns across illness trajectories has the potential to be considered fundamental to the pathophysiology of schizophrenia. We aimed to identify consistent resting-state functional connectivity patterns across heterogeneous schizophrenia groups defined based on treatment response. Methods
In phase 1, we used a cross-sectional case-control design to characterize and compare stable independent component networks from resting-state functional magnetic resonance imaging scans of antipsychotic-naïve participants with first-episode schizophrenia (n = 54) and healthy participants (n = 43); we also examined associations with symptoms, cognition, and disability. In phase 2, we examined the stability (and replicability) of our phase 1 results in 4 groups (N = 105) representing a cross-sequential gradation of schizophrenia based on treatment response: risperidone responders, clozapine responders, clozapine nonresponders, and clozapine nonresponders following electroconvulsive therapy. Hypothesis-free whole-brain within- and between-network connectivity were examined. Results
Phase 1 identified posterior and anterior cerebellar hypoconnectivity and limbic hyperconnectivity in schizophrenia at a familywise error rate–corrected cluster significance threshold of p < .01. These network aberrations had unique associations with positive symptoms, cognition, and disability. During phase 2, we replicated the phase 1 results while comparing each of the 4 schizophrenia groups to the healthy participants. The participants in 2 longitudinal subdatasets did not demonstrate a significant change in these network aberrations following risperidone or electroconvulsive therapy. Posterior cerebellar hypoconnectivity (with thalamus and cingulate) emerged as the most consistent finding; it was replicated across different stages of treatment response (Cohen's d range −0.95 to −1.44), reproduced using different preprocessing techniques, and not confounded by educational attainment. Conclusions
Posterior cerebellar-thalamo-cingulate hypoconnectivity is a consistent and stable state-independent neural marker of schizophrenia.
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