Identifiable Patterns of Trait, State, and Experience in Chronic Stroke Recovery.

ABSTRACT:

Background

Considerable evidence indicates that the functional connectome of the healthy human brain is highly stable, analogous to a fingerprint.

Objective

We investigated the stability of functional connectivity across tasks and sessions in a cohort of individuals with chronic stroke using a supervised machine learning approach.

Methods

Twelve individuals with chronic stroke underwent functional magnetic resonance imaging (fMRI) seven times over 18 weeks. The middle 6 weeks consisted of intensive aphasia therapy. We collected fMRI data during rest and performance of 2 tasks. We calculated functional connectivity metrics for each imaging run, then applied a support vector machine to classify data on the basis of participant, task, and time point (pre- or posttherapy)

SUBMITTER: Duncan ES 

PROVIDER: S-EPMC8669773 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature