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
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
100032Informations de copyright
© 2019 The Author(s).
Déclaration de conflit d'intérêts
None.
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