Exploring neurometabolic alterations in bipolar disorder with suicidal ideation based on proton magnetic resonance spectroscopy and machine learning technology

Exploring neurometabolic alterations in bipolar disorder with suicidal ideation based on proton magnetic resonance spectroscopy and machine learning technology

Bipolar disorder (BD) is associated with a high risk of suicide. We used proton magnetic resonance spectroscopy (1H-MRS) to detect biochemical metabolite ratios in the bilateral prefrontal white matter (PWM) and hippocampus in 32 BD patients with suicidal ideation (SI) and 18 BD patients without SI,...

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Bibliographic Details
Main Authors: Jiayue Chen, Xinxin Zhang, Yuan Qu, Yanmin Peng, Yingchao Song, Chuanjun Zhuo, Shaohong Zou, Hongjun Tian
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Neuroscience
Subjects:
bipolar disorder
suicidal ideation
proton magnetic resonance spectroscopy
machine learning
multivariate pattern analysis
support vector machine
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.944585/full

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https://www.frontiersin.org/articles/10.3389/fnins.2022.944585/full

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