Low-Frequency TMS Results in Condition-Related Dynamic Activation Changes of Stimulated and Contralateral Inferior Parietal Lobule.

default mode network fronto-parietal control network functional magnetic resonance imaging functional reorganization inferior parietal lobe intra-network compensation offline TMS

Journal

Frontiers in human neuroscience
ISSN: 1662-5161
Titre abrégé: Front Hum Neurosci
Pays: Switzerland
ID NLM: 101477954

Informations de publication

Date de publication:
2021
Historique:
received: 23 03 2021
accepted: 21 06 2021
entrez: 9 8 2021
pubmed: 10 8 2021
medline: 10 8 2021
Statut: epublish

Résumé

Non-invasive brain stimulation is a promising approach to study the causal relationship between brain function and behavior. However, it is difficult to interpret behavioral null results as dynamic brain network changes have the potential to prevent stimulation from affecting behavior, ultimately compensating for the stimulation. The present study investigated local and remote changes in brain activity via functional magnetic resonance imaging (fMRI) after offline disruption of the inferior parietal lobule (IPL) or the vertex in human participants via 1 Hz repetitive transcranial magnetic stimulation (rTMS). Since the IPL acts as a multimodal hub of several networks, we implemented two experimental conditions in order to robustly engage task-positive networks, such as the fronto-parietal control network (on-task condition) and the default mode network (off-task condition). The condition-dependent neural after-effects following rTMS applied to the IPL were dynamic in affecting post-rTMS BOLD activity depending on the exact time-window. More specifically, we found that 1 Hz rTMS applied to the right IPL led to a delayed activity increase in both, the stimulated and the contralateral IPL, as well as in other brain regions of a task-positive network. This was markedly more pronounced in the on-task condition suggesting a condition-related delayed upregulation. Thus together, our results revealed a dynamic compensatory reorganization including upregulation and intra-network compensation which may explain mixed findings after low-frequency offline TMS.

Identifiants

pubmed: 34366812
doi: 10.3389/fnhum.2021.684367
pmc: PMC8342925
doi:

Types de publication

Journal Article

Langues

eng

Pagination

684367

Informations de copyright

Copyright © 2021 Jargow, Zwosta, Korb, Ruge and Wolfensteller.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Janine Jargow (J)

Faculty of Psychology, Technische Universität Dresden, Dresden, Germany.

Katharina Zwosta (K)

Faculty of Psychology, Technische Universität Dresden, Dresden, Germany.

Franziska M Korb (FM)

Faculty of Psychology, Technische Universität Dresden, Dresden, Germany.

Hannes Ruge (H)

Faculty of Psychology, Technische Universität Dresden, Dresden, Germany.

Uta Wolfensteller (U)

Faculty of Psychology, Technische Universität Dresden, Dresden, Germany.

Classifications MeSH