Individual-specific functional connectivity markers track dimensional and categorical features of psychotic illness

分裂情感障碍 神经影像学 精神分裂症(面向对象编程) 心理学 精神病 双相情感障碍 病因学 神经科学 精神科 临床心理学 认知
作者
Danhong Wang,Meiling Li,Meiyun Wang,Franziska Schoeppe,Jianxun Ren,Huafu Chen,Döst Öngür,Roscoe O. Brady,Justin T. Baker,Hesheng Liu
出处
期刊:Molecular Psychiatry [Springer Nature]
卷期号:25 (9): 2119-2129 被引量:125
标识
DOI:10.1038/s41380-018-0276-1
摘要

Neuroimaging studies of psychotic disorders have demonstrated abnormalities in structural and functional connectivity involving widespread brain networks. However, these group-level observations have failed to yield any biomarkers that can provide confirmatory evidence of a patient’s current symptoms, predict future symptoms, or predict a treatment response. Lack of precision in both neuroanatomical and clinical boundaries have likely contributed to the inability of even well-powered studies to resolve these key relationships. Here, we employed a novel approach to defining individual-specific functional connectivity in 158 patients diagnosed with schizophrenia (n = 49), schizoaffective disorder (n = 37), or bipolar disorder with psychosis (n = 72), and identified neuroimaging features that track psychotic symptoms in a dimension- or disorder-specific fashion. Using individually specified functional connectivity, we were able to estimate positive, negative, and manic symptoms that showed correlations ranging from r = 0.35 to r = 0.51 with the observed symptom scores. Comparing optimized estimation models among schizophrenia spectrum patients, positive and negative symptoms were associated with largely non-overlapping sets of cortical connections. Comparing between schizophrenia spectrum and bipolar disorder patients, the models for positive symptoms were largely non-overlapping between the two disorder classes. Finally, models derived using conventional region definition strategies performed at chance levels for most symptom domains. Individual-specific functional connectivity analyses revealed important new distinctions among cortical circuits responsible for the positive and negative symptoms, as well as key new information about how circuits underlying symptom expressions may vary depending on the underlying etiology and illness syndrome from which they manifest.
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