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Machine learning on magnetoencephalography data yields generalizable low-dimensional neural fingerprints that distinguish individuals across task conditions

2026-07-01

Abstract excerpt

<h4>ABSTRACT</h4> Individual brains are unique in structure and function. Functional differences are captured by neural fingerprints, which reflect individual differences in behavior and cognition as well as group-level changes related to neurodegenerative diseases. Most research efforts so far have focused on fingerprints com-prising full functional connectomes. However, the high dimensionality of the connectome...

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Literature Corpus work
42949b39-6b19-5c84-93de-586fdf7c7062
DOI
10.64898/2026.06.26.734424
Open publication

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Machine learning on magnetoencephalography data yields generalizable low-dimensional neural fingerprints that distinguish individuals across task conditionsDOI 10.64898/2026.06.26.734424
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