Identifying Neuroimaging Markers of Motor Disability in Acute Stroke by Machine Learning Techniques.

Abstract

Conventional mass-univariate analyses have been previously used to test for group differences in neural signals. However, machine learning algorithms represent a multivariate decoding approach that may help to identify neuroimaging patterns associated with functional impairment in "individual" patients. We investigated whether fMRI allows classification of… (More)
DOI: 10.1093/cercor/bhu100

Topics

6 Figures and Tables

Slides referencing similar topics