Predicting the efficacy of donepezil intervention in Alzheimer’s disease patients using regional homogeneity in the inferior orbitofrontal cortex
Min Dai, Zhongwei Guo, Honglian Xia, Hong Zhu, Jiapeng Li, Hongtao Hou, Guizhi Zhao, Xiaozheng Liu

TL;DR
This study uses brain imaging to predict how well donepezil treats Alzheimer's by analyzing brain activity patterns before and after treatment.
Contribution
A novel method to predict donepezil efficacy in Alzheimer’s using pre-intervention brain activity patterns.
Findings
Post-intervention AD patients showed reduced ReHo in the orbital part of the inferior frontal gyrus compared to healthy controls.
Pre-intervention ReHo values predicted donepezil's cognitive efficacy with 76% accuracy and depressive symptom efficacy with 65% accuracy.
Donepezil treatment was associated with changes in brain activity patterns in AD patients.
Abstract
Although donepezil is a commonly used drug for treating Alzheimer's disease (AD), the mechanisms by which it affects patients’ functional brain activity, and thus modulates clinical symptoms, remain unclear. In the present study, we used resting-state functional magnetic resonance imaging (MRI) and regional homogeneity (ReHo) to investigate the effects of donepezil on local brain activity in AD patients. Resting-state functional MRI data were collected from 32 subjects: 16 healthy controls and 16 AD patients. All 16 AD patients underwent 6 months of donepezil treatment and received two MRI scans (pre- and post-intervention). Analysis of covariance and post hoc analyses were used to compare ReHo differences among the healthy controls, pre-intervention AD patients, and post-intervention AD patients. Pearson correlation analysis was used to examine relationships between ReHo values in…
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Taxonomy
TopicsFunctional Brain Connectivity Studies · Advanced Neuroimaging Techniques and Applications · Advanced MRI Techniques and Applications
