Hudgens-Haney Matthew E, Clementz Brett A, Ivleva Elena I, Keshavan Matcheri S, Pearlson Godfrey D, Gershon Elliot S, Keedy Sarah K, Sweeney John A, Gaudoux Florence, Bunouf Pierre, Canolle Benoit, Tonner Françoise, Gatti-McArthur Silvia, Tamminga Carol A
Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX.
Departments of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, GA.
Schizophr Bull. 2020 Sep 21;46(5):1269-1281. doi: 10.1093/schbul/sbaa001.
The treatment of negative symptoms (NS) in psychosis represents an urgent unmet medical need given the significant functional impairment it contributes to psychosis syndromes. The lack of progress in treating NS is impacted by the lack of known pathophysiology or associated quantitative biomarkers, which could provide tools for research. This current analysis investigated potential associations between NS and an extensive battery of behavioral and brain-based biomarkers in 932 psychosis probands from the B-SNIP database. The current analyses examined associations between PANSS-defined NS and (1) cognition, (2) pro-/anti-saccades, (3) evoked and resting-state electroencephalography (EEG), (4) resting-state fMRI, and (5) tractography. Canonical correlation analyses yielded symptom-biomarker constructs separately for each biomarker modality. Biomarker modalities were integrated using canonical discriminant analysis to summarize the symptom-biomarker relationships into a "biomarker signature" for NS. Finally, distinct biomarker profiles for 2 NS domains ("diminished expression" vs "avolition/apathy") were computed using step-wise linear regression. NS were associated with cognitive impairment, diminished EEG response amplitudes, deviant resting-state activity, and oculomotor abnormalities. While a connection between NS and poor cognition has been established, association to neurophysiology is novel, suggesting directions for future mechanistic studies. Each biomarker modality was related to NS in distinct and complex ways, giving NS a rich, interconnected fingerprint and suggesting that any one biomarker modality may not adequately capture the full spectrum of symptomology.
考虑到阴性症状(NS)对精神病综合征造成的显著功能损害,其在精神病中的治疗是一项迫切未被满足的医疗需求。NS治疗缺乏进展受到未知病理生理学或相关定量生物标志物缺乏的影响,而这些生物标志物本可提供研究工具。本次分析在来自B-SNIP数据库的932名精神病先证者中研究了NS与一系列广泛的行为和基于脑的生物标志物之间的潜在关联。当前分析考察了阳性和阴性症状量表(PANSS)定义的NS与以下方面的关联:(1)认知,(2)正/反扫视,(3)诱发和静息态脑电图(EEG),(4)静息态功能磁共振成像(fMRI),以及(5)纤维束成像。典型相关分析针对每种生物标志物模式分别产生症状-生物标志物结构。使用典型判别分析整合生物标志物模式,以将症状-生物标志物关系总结为NS的“生物标志物特征”。最后,使用逐步线性回归计算2个NS领域(“表达减少”与“意志缺乏/冷漠”)的不同生物标志物概况。NS与认知障碍、EEG反应振幅降低、异常的静息态活动和动眼神经异常相关。虽然NS与认知功能差之间的联系已经确立,但与神经生理学的关联却是新的,为未来的机制研究指明了方向。每种生物标志物模式都以独特而复杂的方式与NS相关,赋予NS一个丰富、相互关联的特征图谱,并表明任何一种生物标志物模式可能都无法充分捕捉症状的全貌。