Impact of electrode selection on modeling tDCS in the aging brain.

ABSTRACT:

Background

Person-specific computational models can estimate transcranial direct current stimulation (tDCS) current dose delivered to the brain and predict treatment response. Artificially created electrode models derived from virtual 10-20 EEG measurements are typically included in these models as current injection and removal sites. The present study directly compares current flow models generated via artificially placed electrodes ("artificial" electrode models) against those generated using real electrodes acquired from structural MRI scans ("real" electrode models) of older adults.

Methods

A total of 16 individualized head models were derived from cognitively healthy older adults (mean age = 71.8 years) who participated in an in-scanner tDCS study with an F3-F4 montage.

SUBMITTER: Indahlastari A 

PROVIDER: S-EPMC10704166 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature