Exploring memory function in earthquake trauma survivors with resting-state fMRI and machine learning.

ABSTRACT: BACKGROUND:Traumatized earthquake survivors may develop poor memory function. Resting-state functional magnetic resonance imaging (rs-fMRI) and machine learning techniques may one day aid the clinical assessment of individual psychiatric patients. This study aims to use machine learning with Rs-fMRI from the perspectives of neurophysiology and neuroimaging to explore the association between it and the individual memory function of trauma survivors. METHODS:Rs-fMRI data was acquired for eighty-nine survivors (male (33%), average age (SD):45.18(6.31) years) of Wenchuan earthquakes in 2008 each of whom was screened by experienced psychiatrists based on the clinician-administered post-traumatic stress disorder (PTSD) scale (CAPS), and their memory function scores were determined by the Wechsle

SUBMITTER: Li Y 

PROVIDER: S-EPMC6998246 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature