Network-based rTMS to modulate working memory: The difficult choice of effective parameters for online interventions.


Journal

Brain and behavior
ISSN: 2162-3279
Titre abrégé: Brain Behav
Pays: United States
ID NLM: 101570837

Informations de publication

Date de publication:
11 2021
Historique:
revised: 06 08 2021
received: 20 04 2021
accepted: 06 09 2021
pubmed: 16 10 2021
medline: 15 12 2021
entrez: 15 10 2021
Statut: ppublish

Résumé

Online repetitive transcranialmagnetic stimulation (rTMS) has been shown to modulate working memory (WM) performance in a site-specific manner, with behavioral improvements due to stimulation of the dorsolateral prefrontal cortex (DLPFC), and impairment from stimulation to the lateral parietal cortex (LPC). Neurobehavioral studies have demonstrated that subprocesses of WM allowing for the maintenance and manipulation of information in the mind involve unique cortical networks. Despite promising evidence of modulatory effects of rTMS on WM, no studies have yet demonstrated distinct modulatory control of these two subprocesses. The current study therefore sought to explore this possibility through site-specific stimulation during an online task invoking both skills. Twenty-nine subjects completed a 4-day protocol, in which active or sham 5Hz rTMS was applied over the DLPFC and LPC in separate blocks of trials while participants performed tasks that required either maintenance alone, or both maintenance and manipulation (alphabetization) of information. Stimulation targets were defined individually based on fMRI activation and structural network properties. Stimulation amplitude was adjusted using electric field modeling to equate induced current in the target region across participants. Despite the use of advanced techniques, no significant differences or interactions between active and sham stimulation were found. Exploratory analyses testing stimulation amplitude, fMRI activation, and modal controllability showed nonsignificant but interesting trends with rTMS effects. While this study did not reveal any significant behavioral changes in WM, the results may point to parameters that contribute to positive effects, such as stimulation amplitude and functional activation.

Sections du résumé

BACKGROUND
Online repetitive transcranialmagnetic stimulation (rTMS) has been shown to modulate working memory (WM) performance in a site-specific manner, with behavioral improvements due to stimulation of the dorsolateral prefrontal cortex (DLPFC), and impairment from stimulation to the lateral parietal cortex (LPC). Neurobehavioral studies have demonstrated that subprocesses of WM allowing for the maintenance and manipulation of information in the mind involve unique cortical networks. Despite promising evidence of modulatory effects of rTMS on WM, no studies have yet demonstrated distinct modulatory control of these two subprocesses. The current study therefore sought to explore this possibility through site-specific stimulation during an online task invoking both skills.
METHODS
Twenty-nine subjects completed a 4-day protocol, in which active or sham 5Hz rTMS was applied over the DLPFC and LPC in separate blocks of trials while participants performed tasks that required either maintenance alone, or both maintenance and manipulation (alphabetization) of information. Stimulation targets were defined individually based on fMRI activation and structural network properties. Stimulation amplitude was adjusted using electric field modeling to equate induced current in the target region across participants.
RESULTS
Despite the use of advanced techniques, no significant differences or interactions between active and sham stimulation were found. Exploratory analyses testing stimulation amplitude, fMRI activation, and modal controllability showed nonsignificant but interesting trends with rTMS effects.
CONCLUSION
While this study did not reveal any significant behavioral changes in WM, the results may point to parameters that contribute to positive effects, such as stimulation amplitude and functional activation.

Identifiants

pubmed: 34651464
doi: 10.1002/brb3.2361
pmc: PMC8613413
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, N.I.H., Intramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2361

Subventions

Organisme : NIA NIH HHS
ID : R01 AG050618
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG050618
Pays : United States
Organisme : Intramural NIH HHS
ID : ZIA MH002955
Pays : United States

Informations de copyright

© 2021 The Authors. Brain and Behavior published by Wiley Periodicals LLC.

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Auteurs

Lysianne Beynel (L)

Department of Psychiatry and Behavioral Science, Duke University School of Medicine, Durham, North Carolina, USA.

Moritz Dannhauer (M)

Department of Psychiatry and Behavioral Science, Duke University School of Medicine, Durham, North Carolina, USA.

Hannah Palmer (H)

Department of Psychiatry and Behavioral Science, Duke University School of Medicine, Durham, North Carolina, USA.

Susan A Hilbig (SA)

Department of Psychiatry and Behavioral Science, Duke University School of Medicine, Durham, North Carolina, USA.

Courtney A Crowell (CA)

Department of Psychiatry and Behavioral Science, Duke University School of Medicine, Durham, North Carolina, USA.

Joyce E-H Wang (JE)

Department of Psychiatry and Behavioral Science, Duke University School of Medicine, Durham, North Carolina, USA.

Andrew M Michael (AM)

Duke Institute for Brain Sciences, Duke University School of Medicine, Durham, North Carolina, USA.

Eleanor A Wood (EA)

Department of Psychiatry and Behavioral Science, Duke University School of Medicine, Durham, North Carolina, USA.

Bruce Luber (B)

Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, Maryland, USA.

Sarah H Lisanby (SH)

Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, Maryland, USA.

Angel V Peterchev (AV)

Department of Psychiatry and Behavioral Science, Duke University School of Medicine, Durham, North Carolina, USA.
Department of Biomedical Engineering, Duke University School of Medicine, Durham, North Carolina, USA.
Department of Electrical and Computer Engineering, Duke University School of Medicine, Durham, North Carolina, USA.
Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA.

Roberto Cabeza (R)

Center for Cognitive Neuroscience, Duke University, Durham, North Carolina, USA.
Department of Psychology & Neuroscience, Duke University, Durham, North Carolina, USA.

Simon W Davis (SW)

Center for Cognitive Neuroscience, Duke University, Durham, North Carolina, USA.
Department of Neurology, Duke University School of Medicine, Durham, North Carolina, USA.

Lawrence G Appelbaum (LG)

Department of Psychiatry and Behavioral Science, Duke University School of Medicine, Durham, North Carolina, USA.

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Classifications MeSH