Bridging big data in the ENIGMA consortium to combine non-equivalent cognitive measures

Bridging big data in the ENIGMA consortium to combine non-equivalent cognitive measures

Abstract Investigators in neuroscience have turned to Big Data to address replication and reliability issues by increasing sample size. These efforts unveil new questions about how to integrate data across distinct sources and instruments. The goal of this study was to link scores across common audi...

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Bibliographic Details
Main Authors: Eamonn Kennedy, Shashank Vadlamani, Hannah M. Lindsey, Pui-Wa Lei, Mary Jo-Pugh, Paul M. Thompson, David F. Tate, Frank G. Hillary, Emily L. Dennis, Elisabeth A. Wilde, for the ENIGMA Clinical Endpoints Working Group
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
Subjects:
Harmonization
Verbal learning
Mega analysis
Traumatic brain injury
Item response theory
Online Access:https://doi.org/10.1038/s41598-024-72968-x
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