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


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


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