Functional near-infrared spectroscopy (fNIRS) as a tool to assist the diagnosis of major psychiatric disorders in a Chinese population

精神分裂症(面向对象编程) 情绪障碍 重性抑郁障碍 精神科 神经影像学 双相情感障碍 心理学 临床心理学 口语流利性测试 生物标志物 心情 精神病 额叶 医学 认知 神经心理学 焦虑 生物化学 化学
作者
YanYan Wei,Qi Chen,Adrian Curtin,Tu Li,XiaoChen Tang,Yingying Tang,Lihua Xu,Zhenying Qian,Jie Zhou,Chaozhe Zhu,Tianhong Zhang,Jijun Wang
出处
期刊:European Archives of Psychiatry and Clinical Neuroscience [Springer Science+Business Media]
卷期号:271 (4): 745-757 被引量:34
标识
DOI:10.1007/s00406-020-01125-y
摘要

Advances in neuroimaging have promised the development of specific and objective biomarkers for the diagnosis and treatment of psychiatric disorders. Recently, functional near-infrared spectroscopy (fNIRS) has been used during cognitive tasks to measure cortical dysfunction associated with mental illnesses such as Schizophrenia (SCH), Major-Depressive disorder (MD) and Bipolar Disorder (BD). We investigated the ability of fNIRS as a clinically viable tool to successfully distinguish healthy individuals from those with major psychiatric disorders. 316 patients with major psychiatric disorders (198 SCH/54 MD/64 BP) and 101 healthy controls were included in this study. Changes in oxygenated-hemoglobin during a Chinese language verbal fluency test were measured using a 52-channel fNIRS machine over the bilateral temporal and frontal lobe areas. We evaluated the ability of two task-evoked features selected from prior studies the Integral and Centroid values, to identify individuals with major diagnoses. Both the integral value of frontal and centroid value of temporal showed sensitivity in classifying individuals with mental disorders from healthy controls. However, using a combined index featuring both the integral value and centroid value to differentiate psychiatric disorders from healthy controls with an AUC of 0.913, differentiate individuals with mood disorders from healthy controls showed an AUC of 0.899, while for schizophrenia the AUC was 0.737. Our data suggest that fNIRS can be used as a candidate biomarker during differential diagnosis individuals with mood or psychosis disorders and offer a step towards individualization of treatment.
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