Journal article
Functional near-infrared spectroscopy (fNIRS) as a tool to assist the diagnosis of major psychiatric disorders in a Chinese population
European archives of psychiatry and clinical neuroscience, v 271(4), pp 745-757
01 Jun 2021
PMID: 32279143
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
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.
Metrics
Details
- Title
- Functional near-infrared spectroscopy (fNIRS) as a tool to assist the diagnosis of major psychiatric disorders in a Chinese population
- Creators
- YanYan Wei - Shanghai Mental Health CenterQi Chen - The 102nd Hospital of the Liberation of Army, Changzhou, 213003, People's Republic of China.Adrian Curtin - Drexel UniversityLi Tu - The 102nd Hospital of the Liberation of Army, Changzhou, 213003, People's Republic of China.Xiaochen Tang - Shanghai Mental Health CenterYingYing Tang - Shanghai Mental Health CenterLiHua Xu - Shanghai Mental Health CenterZhenYing Qian - Shanghai Mental Health CenterJie Zhou - Shanghai Jiao Tong UniversityChaoZhe Zhu - Beijing Normal UniversityTianHong Zhang - Shanghai Mental Health CenterJiJun Wang - Bio X Insitute, Key Lab Genet Dev & Neuropsychiat Disorders, Minist Educ, Shanghai, Peoples R China
- Publication Details
- European archives of psychiatry and clinical neuroscience, v 271(4), pp 745-757
- Publisher
- Springer Nature
- Number of pages
- 13
- Grant note
- Ministry of Science and Technology of China; Ministry of Science and Technology, China 19ZR1445100 / Nature Science Foundation of Shanghai; Natural Science Foundation of Shanghai 81671332; 81671329; 81901832; 81971251 / National Nature Science Foundation of China; National Natural Science Foundation of China (NSFC) 20174Y0013 / Shanghai Municipal Health and Family Planning Commission Research Project 2016-FX-01; 2017-TSXK-03 / Shanghai Mental Health Center Foundation 2016YFC1306800 / National Key R&D Program of China
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000525483400001
- Scopus ID
- 2-s2.0-85083733046
- Other Identifier
- 991019168666004721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Clinical Neurology
- Psychiatry