Predicting individual traits from models of brain dynamics accurately and reliably using the Fisher kernel

Predicting individual traits from models of brain dynamics accurately and reliably using the Fisher kernel

Predicting an individual’s cognitive traits or clinical condition using brain signals is a central goal in modern neuroscience. This is commonly done using either structural aspects, such as structural connectivity or cortical thickness, or aggregated measures of brain activity that average over tim...

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Bibliographic Details
Main Authors: Christine Ahrends, Mark W Woolrich, Diego Vidaurre
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2025-01-01
Series:eLife
Subjects:
brain dynamics
machine learning
fMRI
Hidden Markov Modelling
Online Access:https://elifesciences.org/articles/95125
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