Individualized functional connectome biomarkers predict clinical symptoms after rTMS treatment in Alzheimer's disease.

ABSTRACT: Pharmacological treatments for Alzheimer's disease (AD) often show limited effectiveness, prompting growing interest in non-drug approaches such as repetitive transcranial magnetic stimulation (rTMS). However, the effects of rTMS can vary widely between individuals with AD, highlighting the need to better understand brain characteristics that may influence treatment response. In this study, we applied a personalized method to divide each participant's brain cortex into functionally meaningful regions based on their brain activity patterns, rather than relying on a standard brain template. Using this individualized brain mapping approach, we examined how rTMS changes functional connectivity (FC) across the brain. We further used support vector regression to estimate whether these individual

SUBMITTER: Yang C 

PROVIDER: S-EPMC12660808 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature