Machine learning analysis reveals aberrant dynamic changes in amplitude of low-frequency fluctuations among patients with retinal detachment

Machine learning analysis reveals aberrant dynamic changes in amplitude of low-frequency fluctuations among patients with retinal detachment

BackgroundThere is increasing evidence that patients with retinal detachment (RD) have aberrant brain activity. However, neuroimaging investigations remain focused on static changes in brain activity among RD patients. There is limited knowledge regarding the characteristics of dynamic brain activit...

Повний опис

Бібліографічні деталі
Автори: Yu Ji, Yuan-yuan Wang, Qi Cheng, Wen-wen Fu, Shui-qin Huang, Pei-pei Zhong, Xiao-lin Chen, Ben-liang Shu, Bin Wei, Qin-yi Huang, Xiao-rong Wu
Формат: Стаття
Мова:English
Опубліковано: Frontiers Media S.A. 2023-07-01
Серія:Frontiers in Neuroscience
Предмети:
retinal detachment
brain region
resting-state functional magnetic resonance imaging
dynamic amplitude of low-frequency fluctuation
sliding window
k-means clustering method
Онлайн доступ:https://www.frontiersin.org/articles/10.3389/fnins.2023.1227081/full

Інтернет

https://www.frontiersin.org/articles/10.3389/fnins.2023.1227081/full

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