Article

A reusable benchmark of brain-age prediction from M/EEG resting-state signals

2021-12-16

Abstract excerpt

Population-level modeling can define quantitative measures of individual aging by applying machine learning to large volumes of brain images. These measures of brain age, obtained from the general population, helped characterize disease severity in neurological populations, improving estimates of diagnosis or prognosis. Magnetoencephalography (MEG) and Electroencephalography (EEG) have the potential to further gen...

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Literature Corpus work: 442bc0ef-4176-55c3-927d-691e6123dc51
DOI: 10.1101/2021.12.14.472691

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