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Unsupervised clustering reveals spatially varying single neuronal firing patterns in the subthalamic nucleus of patients with Parkinson's disease
INTRODUCTION: 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. Us...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298773/ https://www.ncbi.nlm.nih.gov/pubmed/34316618 http://dx.doi.org/10.1016/j.prdoa.2019.100032 |
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author | Kaku, Heet Ozturk, Musa Viswanathan, Ashwin Shahed, Joohi Sheth, Sameer A. Kumar, Suneel Ince, Nuri F. |
author_facet | Kaku, Heet Ozturk, Musa Viswanathan, Ashwin Shahed, Joohi Sheth, Sameer A. Kumar, Suneel Ince, Nuri F. |
author_sort | Kaku, Heet |
collection | PubMed |
description | INTRODUCTION: 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. METHODS: 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. RESULTS: 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 (p < 0.05) than the rest. Tonic firings were significantly ventral (p < 0.05) while periodic (p < 0.05) and non-periodic (p < 0.01) bursts were dorsal. The percentage of periodically bursting neurons in dorsal region and entire STN were significantly correlated with off state UPDRS tremor scores (r = 0.51, p = 0.04) and improvement in bradykinesia and rigidity (r = 0.57, p = 0.02) respectively. CONCLUSION: 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. |
format | Online Article Text |
id | pubmed-8298773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-82987732021-07-26 Unsupervised clustering reveals spatially varying single neuronal firing patterns in the subthalamic nucleus of patients with Parkinson's disease Kaku, Heet Ozturk, Musa Viswanathan, Ashwin Shahed, Joohi Sheth, Sameer A. Kumar, Suneel Ince, Nuri F. Clin Park Relat Disord Short Communication INTRODUCTION: 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. METHODS: 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. RESULTS: 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 (p < 0.05) than the rest. Tonic firings were significantly ventral (p < 0.05) while periodic (p < 0.05) and non-periodic (p < 0.01) bursts were dorsal. The percentage of periodically bursting neurons in dorsal region and entire STN were significantly correlated with off state UPDRS tremor scores (r = 0.51, p = 0.04) and improvement in bradykinesia and rigidity (r = 0.57, p = 0.02) respectively. CONCLUSION: 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. Elsevier 2019-12-27 /pmc/articles/PMC8298773/ /pubmed/34316618 http://dx.doi.org/10.1016/j.prdoa.2019.100032 Text en © 2019 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Short Communication Kaku, Heet Ozturk, Musa Viswanathan, Ashwin Shahed, Joohi Sheth, Sameer A. Kumar, Suneel Ince, Nuri F. Unsupervised clustering reveals spatially varying single neuronal firing patterns in the subthalamic nucleus of patients with Parkinson's disease |
title | Unsupervised clustering reveals spatially varying single neuronal firing patterns in the subthalamic nucleus of patients with Parkinson's disease |
title_full | Unsupervised clustering reveals spatially varying single neuronal firing patterns in the subthalamic nucleus of patients with Parkinson's disease |
title_fullStr | Unsupervised clustering reveals spatially varying single neuronal firing patterns in the subthalamic nucleus of patients with Parkinson's disease |
title_full_unstemmed | Unsupervised clustering reveals spatially varying single neuronal firing patterns in the subthalamic nucleus of patients with Parkinson's disease |
title_short | Unsupervised clustering reveals spatially varying single neuronal firing patterns in the subthalamic nucleus of patients with Parkinson's disease |
title_sort | unsupervised clustering reveals spatially varying single neuronal firing patterns in the subthalamic nucleus of patients with parkinson's disease |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298773/ https://www.ncbi.nlm.nih.gov/pubmed/34316618 http://dx.doi.org/10.1016/j.prdoa.2019.100032 |
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