Individual predictors and electrophysiological signatures of working memory enhancement in aging

A primary goal of translational neuroscience is to identify the neural mechanisms of age-related cognitive decline and develop protocols to maximally improve cognition. Here, we demonstrate how interventions that apply noninvasive neurostimulation to older adults improve working memory (WM). We foun...

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Main Authors: Elizabeth L. Johnson, Hector Arciniega, Kevin T. Jones, Alexandrea Kilgore-Gomez, Marian E. Berryhill
Format: Article
Language:English
Published: Elsevier 2022-04-01
Series:NeuroImage
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811922000684
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author Elizabeth L. Johnson
Hector Arciniega
Kevin T. Jones
Alexandrea Kilgore-Gomez
Marian E. Berryhill
author_facet Elizabeth L. Johnson
Hector Arciniega
Kevin T. Jones
Alexandrea Kilgore-Gomez
Marian E. Berryhill
author_sort Elizabeth L. Johnson
collection DOAJ
description A primary goal of translational neuroscience is to identify the neural mechanisms of age-related cognitive decline and develop protocols to maximally improve cognition. Here, we demonstrate how interventions that apply noninvasive neurostimulation to older adults improve working memory (WM). We found that one session of sham-controlled transcranial direct current stimulation (tDCS) selectively improved WM in older adults with more education, extending earlier work and underscoring the importance of identifying individual predictors of tDCS responsivity. Improvements in WM were associated with two distinct electrophysiological signatures. First, a broad enhancement of theta network synchrony tracked improvements in behavioral accuracy, with tDCS effects moderated by education level. Further analysis revealed that accuracy dynamics reflected an anterior-posterior network distribution regardless of cathode placement. Second, specific enhancements of theta-gamma phase-amplitude coupling (PAC) reflecting tDCS current flow tracked improvements in reaction time (RT). RT dynamics further explained inter-individual variability in WM improvement independent of education. These findings illuminate theta network synchrony and theta-gamma PAC as distinct but complementary mechanisms supporting WM in aging. Both mechanisms are amenable to intervention, the effectiveness of which can be predicted by individual demographic factors.
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spelling doaj.art-9dfea819e9a042a48eb494779b0274212022-12-21T19:29:21ZengElsevierNeuroImage1095-95722022-04-01250118939Individual predictors and electrophysiological signatures of working memory enhancement in agingElizabeth L. Johnson0Hector Arciniega1Kevin T. Jones2Alexandrea Kilgore-Gomez3Marian E. Berryhill4Departments of Medical Social Sciences and Pediatrics, Northwestern University, Chicago, IL, 60611, United States; Corresponding authors.Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02215, United StatesDepartment of Neurology, Neuroscape, University of California-San Francisco, San Francisco, CA, 94158, United StatesDepartment of Psychology, Program in Cognitive and Brain Sciences, Program in Integrative Neuroscience, University of Nevada, Reno, 89557, United StatesDepartment of Psychology, Program in Cognitive and Brain Sciences, Program in Integrative Neuroscience, University of Nevada, Reno, 89557, United States; Corresponding authors.A primary goal of translational neuroscience is to identify the neural mechanisms of age-related cognitive decline and develop protocols to maximally improve cognition. Here, we demonstrate how interventions that apply noninvasive neurostimulation to older adults improve working memory (WM). We found that one session of sham-controlled transcranial direct current stimulation (tDCS) selectively improved WM in older adults with more education, extending earlier work and underscoring the importance of identifying individual predictors of tDCS responsivity. Improvements in WM were associated with two distinct electrophysiological signatures. First, a broad enhancement of theta network synchrony tracked improvements in behavioral accuracy, with tDCS effects moderated by education level. Further analysis revealed that accuracy dynamics reflected an anterior-posterior network distribution regardless of cathode placement. Second, specific enhancements of theta-gamma phase-amplitude coupling (PAC) reflecting tDCS current flow tracked improvements in reaction time (RT). RT dynamics further explained inter-individual variability in WM improvement independent of education. These findings illuminate theta network synchrony and theta-gamma PAC as distinct but complementary mechanisms supporting WM in aging. Both mechanisms are amenable to intervention, the effectiveness of which can be predicted by individual demographic factors.http://www.sciencedirect.com/science/article/pii/S1053811922000684AgingEEGIndividual differencestDCSThetaWorking memory
spellingShingle Elizabeth L. Johnson
Hector Arciniega
Kevin T. Jones
Alexandrea Kilgore-Gomez
Marian E. Berryhill
Individual predictors and electrophysiological signatures of working memory enhancement in aging
NeuroImage
Aging
EEG
Individual differences
tDCS
Theta
Working memory
title Individual predictors and electrophysiological signatures of working memory enhancement in aging
title_full Individual predictors and electrophysiological signatures of working memory enhancement in aging
title_fullStr Individual predictors and electrophysiological signatures of working memory enhancement in aging
title_full_unstemmed Individual predictors and electrophysiological signatures of working memory enhancement in aging
title_short Individual predictors and electrophysiological signatures of working memory enhancement in aging
title_sort individual predictors and electrophysiological signatures of working memory enhancement in aging
topic Aging
EEG
Individual differences
tDCS
Theta
Working memory
url http://www.sciencedirect.com/science/article/pii/S1053811922000684
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