Decoding of Pain Perception using EEG Signals for a Real-Time Reflex System in Prostheses: A Case Study.


Journal

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

Informations de publication

Date de publication:
27 03 2020
Historique:
received: 24 11 2019
accepted: 16 03 2020
entrez: 30 3 2020
pubmed: 30 3 2020
medline: 30 3 2020
Statut: epublish

Résumé

In recent times, we have witnessed a push towards restoring sensory perception to upper-limb amputees, which includes the whole spectrum from gentle touch to noxious stimuli. These are essential components for body protection as well as for restoring the sense of embodiment. Notwithstanding the considerable advances that have been made in designing suitable sensors and restoring tactile perceptions, pain perception dynamics and its decoding using effective bio-markers, are still not fully understood. Here, using electroencephalography (EEG) recordings, we identified and validated a spatio-temporal signature of brain activity during innocuous, moderately more intense, and noxious stimulation of an amputee's phantom limb using transcutaneous nerve stimulation (TENS). Based on the spatio-temporal EEG features, we developed a system for detecting pain perception and reaction in the brain, which successfully classified three different stimulation conditions with a test accuracy of 94.66%, and we investigated the cortical activity in response to sensory stimuli in these conditions. Our findings suggest that the noxious stimulation activates the pre-motor cortex with the highest activation shown in the central cortex (Cz electrode) between 450 ms and 750 ms post-stimulation, whereas the highest activation for the moderately intense stimulation was found in the parietal lobe (P2, P4, and P6 electrodes). Further, we localized the cortical sources and observed early strong activation of the anterior cingulate cortex (ACC) corresponding to the noxious stimulus condition. Moreover, activation of the posterior cingulate cortex (PCC) was observed during the noxious sensation. Overall, although this is a single case study, this work presents a novel approach and a first attempt to analyze and classify neural activity when restoring sensory perception to amputees, which could chart a route ahead for designing a real-time pain reaction system in upper-limb prostheses.

Identifiants

pubmed: 32221336
doi: 10.1038/s41598-020-62525-7
pii: 10.1038/s41598-020-62525-7
pmc: PMC7101312
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

5606

Subventions

Organisme : NIGMS NIH HHS
ID : T32 GM007057
Pays : United States

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Auteurs

Zied Tayeb (Z)

Institute for Cognitive Systems, Technical University of Munich, Arcisstraße 21, 80333, München, Germany. zied.tayeb@tum.de.

Rohit Bose (R)

N.1 Institute for Health, National University of Singapore, 28 Medical Dr. 05-COR, Singapore, 117456, Singapore.
Department of Bioengineering, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, PA, 15261, USA.

Andrei Dragomir (A)

N.1 Institute for Health, National University of Singapore, 28 Medical Dr. 05-COR, Singapore, 117456, Singapore.
Department of Biomedical Engineering, University of Houston, 3517 Cullen Blvd, Houston, TX, 77204, USA.

Luke E Osborn (LE)

Department of Biomedical Engineering, Johns Hopkins School of Medicine, 720 Rutland Ave, Baltimore, MD, 21205, USA.
Research Exploratory Development, Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723, USA.

Nitish V Thakor (NV)

Department of Biomedical Engineering, Johns Hopkins School of Medicine, 720 Rutland Ave, Baltimore, MD, 21205, USA.
Department of Biomedical Engineering, National University of Singapore, Engineering Drive 3, 04-08, Singapore, 117583, Singapore.

Gordon Cheng (G)

Institute for Cognitive Systems, Technical University of Munich, Arcisstraße 21, 80333, München, Germany.

Classifications MeSH