Individualized tDCS modeling predicts functional connectivity changes within the working memory network in older adults.

ABSTRACT:

Background

Working memory decline has been associated with normal aging. The frontal brain structure responsible for this decline is primarily located in the prefrontal cortex (PFC). Our previous neuroimaging study demonstrated a significant change in functional connectivity between the left dorsolateral PFC (DLPFC) and left ventrolateral PFC (VLPFC) when applying 2 mA tDCS in MRI scanner during an N-Back task. These regions were part of the working memory network. The present study is the first study that utilizes individualized finite element models derived from older adults' MRI to predict significant changes of functional connectivity observed from an acute tDCS application.

Methods

Individualized head models from 15 healthy older adults (mean age = 71.3 years) were cons

SUBMITTER: Indahlastari A 

PROVIDER: S-EPMC8892686 | biostudies-literature | 2021 Sep-Oct

REPOSITORIES: biostudies-literature