A Measure of Neural Function Provides Unique Insights into Behavioral Deficits in Acute Stroke.

ABSTRACT:

Background

Clinical and neuroimaging measures incompletely explain behavioral deficits in the acute stroke setting. We hypothesized that electroencephalography (EEG)-based measures of neural function would significantly improve prediction of acute stroke deficits.

Methods

Patients with acute stroke (n=50) seen in the emergency department of a university hospital from 2017 to 2018 underwent standard evaluation followed by a 3-minute recording of EEG at rest using a wireless, 17-electrode, dry-lead system. Artifacts in EEG recordings were removed offline and then spectral power was calculated for each lead pair. A primary EEG metric was DTABR, which is calculated as a ratio of spectral power: [(Delta*Theta)/(Alpha*Beta)]. Bivariate analyses and least absolute shrinkage and sel

SUBMITTER: Vanderschelden B 

PROVIDER: S-EPMC9881885 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature