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A Confounder Controlled Machine Learning Approach: Group Analysis and Classification of Schizophrenia and Alzheimer’s Disease using Resting-State Functional Network Connectivity

2023-10-06

Abstract excerpt

Resting-state functional magnetic resonance imaging (rs-fMRI) has increasingly been used to study both Alzheimer’s disease (AD) and schizophrenia (SZ). While most rs-fMRI studies being conducted in AD and SZ compare patients to healthy controls, it is also of interest to directly compare AD and SZ patients with each other to identify potential biomarkers shared between the disorders. However, comparing patient gro...

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Literature Corpus work
5d313039-501b-5a7f-a61f-b041e3d242c0
DOI
10.1101/2023.10.05.561035
Open publication

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A Confounder Controlled Machine Learning Approach: Group Analysis and Classification of Schizophrenia and Alzheimer’s Disease using Resting-State Functional Network ConnectivityDOI 10.1101/2023.10.05.561035
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