Sensory stimulation for upper limb amputations modulates adaptability of cortical large-scale systems and combination of somatosensory and visual inputs.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
28 11 2022
Historique:
received: 12 05 2022
accepted: 14 11 2022
entrez: 28 11 2022
pubmed: 29 11 2022
medline: 1 12 2022
Statut: epublish

Résumé

Touch-like phantom limb sensations can be elicited through targeted transcutaneous electrical nerve stimulation (tTENS) in individuals with upper limb amputation. The corresponding impact of sensory stimulation on cortical activity remains an open question. Brain network research shows that sensorimotor cortical activity is supported by dynamic changes in functional connections between relevant brain regions. These groups of interconnected regions are functional modules whose architecture enables specialized function and related neural processing supporting individual task needs. Using electroencephalographic (EEG) signals to analyze modular functional connectivity, we investigated changes in the modular architecture of cortical large-scale systems when participants with upper limb amputations performed phantom hand movements before, during, and after they received tTENS. We discovered that tTENS substantially decreased the flexibility of the default mode network (DMN). Furthermore, we found increased interconnectivity (measured by a graph theoretic integration metric) between the DMN, the somatomotor network (SMN) and the visual network (VN) in the individual with extensive tTENS experience. While for individuals with less tTENS experience, we found increased integration between DMN and the attention network. Our results provide insights into how sensory stimulation promotes cortical processing of combined somatosensory and visual inputs and help develop future tools to evaluate sensory combination for individuals with amputations.

Identifiants

pubmed: 36443387
doi: 10.1038/s41598-022-24368-2
pii: 10.1038/s41598-022-24368-2
pmc: PMC9705529
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

20467

Informations de copyright

© 2022. The Author(s).

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Auteurs

Keqin Ding (K)

Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA. kding3@jhu.edu.

Yunru Chen (Y)

Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA.

Rohit Bose (R)

Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.

Luke E Osborn (LE)

Research and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.

Andrei Dragomir (A)

The N.1 Institute for Health, National University of Singapore, Singapore, Singapore.
Department of Biomedical Engineering, University of Houston, Houston, TX, USA.

Nitish V Thakor (NV)

Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.

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