Performance reserves in brain-imaging-based phenotype prediction

Summary: This study examines the impact of sample size on predicting cognitive and mental health phenotypes from brain imaging via machine learning. Our analysis shows a 3- to 9-fold improvement in prediction performance when sample size increases from 1,000 to 1 M participants. However, despite thi...

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Bibliographic Details
Main Authors: Marc-Andre Schulz, Danilo Bzdok, Stefan Haufe, John-Dylan Haynes, Kerstin Ritter
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Cell Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2211124723016091