Unsupervised clustering reveals spatially varying single neuronal firing patterns in the subthalamic nucleus of patients with Parkinson's disease.

Single neuronal firing Spatial distribution Subthalamic nucleus Unsupervised clustering

Journal

Clinical parkinsonism & related disorders
ISSN: 2590-1125
Titre abrégé: Clin Park Relat Disord
Pays: England
ID NLM: 101761473

Informations de publication

Date de publication:
2020
Historique:
received: 12 07 2019
revised: 29 10 2019
accepted: 17 12 2019
entrez: 28 7 2021
pubmed: 27 12 2019
medline: 27 12 2019
Statut: epublish

Résumé

Subthalamic nucleus (STN) is an effective target for deep brain stimulation (DBS) to reduce the motor symptoms of Parkinson's disease (PD). It is important to identify firing patterns within the structure for a better understanding of the electro-pathophysiology of the disease. Using recently established metrics, our study aims to autonomously identify the discharge patterns of individual cells and examine their spatial distribution within the STN. We recorded single unit activity (SUA) from 12 awake PD patients undergoing a standard clinical DBS surgery. Three extracted features from raw SUA (local variation, bursting index and prominence of peak) were used with k-means clustering to achieve the aforementioned unsupervised grouping of firing patterns. 279 neurons were isolated and four distinct firing patterns were identified across patients: tonic (11%), irregular (55%), periodic (9%) and non-periodic bursts (25%). The mean firing rates for irregular discharges were significantly lower ( Strengthening the application of unsupervised clustering for firing patterns of individual cells, this study shows a unique spatial affinity of tonic activity towards the ventral and bursting activity towards the dorsal region of STN in PD patients. This spatial preference, together with the correlation of clinical scores, can provide a clue towards understanding Parkinsonian symptom generation.

Identifiants

pubmed: 34316618
doi: 10.1016/j.prdoa.2019.100032
pii: S2590-1125(19)30035-0
pmc: PMC8298773
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100032

Informations de copyright

© 2019 The Author(s).

Déclaration de conflit d'intérêts

None.

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Auteurs

Heet Kaku (H)

Department of Biomedical Engineering, University of Houston, 3517 Cullen Blvd, Room 2027, Houston, TX 77204-5060, United States of America.

Musa Ozturk (M)

Department of Biomedical Engineering, University of Houston, 3517 Cullen Blvd, Room 2027, Houston, TX 77204-5060, United States of America.

Ashwin Viswanathan (A)

Department of Neurosurgery, Baylor College of Medicine Medical Center - McNair Campus, 7200 Cambridge, Suite 9A, Houston, TX 77030, United States of America.

Joohi Shahed (J)

Department of Neurology, Baylor College of Medicine Medical Center, McNair Campus, 7200 Cambridge St, Suite 9A, Houston, TX 77030, United States of America.

Sameer A Sheth (SA)

Department of Neurosurgery, Baylor College of Medicine Medical Center - McNair Campus, 7200 Cambridge, Suite 9A, Houston, TX 77030, United States of America.

Suneel Kumar (S)

Department of Neurology, Baylor College of Medicine Medical Center, McNair Campus, 7200 Cambridge St, Suite 9A, Houston, TX 77030, United States of America.

Nuri F Ince (NF)

Department of Biomedical Engineering, University of Houston, 3517 Cullen Blvd, Room 2027, Houston, TX 77204-5060, United States of America.

Classifications MeSH