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Brain connectivity markers for the identification of effective contacts in subthalamic nucleus deep brain stimulation
The clinical benefit of deep brain stimulation (DBS) for Parkinson's disease (PD) is relevant to the tracts adjacent to the stimulation site, but it remains unclear what connectivity pattern is associated with effective DBS. The aim of this study was to identify clinically effective electrode c...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268081/ https://www.ncbi.nlm.nih.gov/pubmed/31951307 http://dx.doi.org/10.1002/hbm.24927 |
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author | Lin, Hai Na, Peng Zhang, Doudou Liu, Jiali Cai, Xiaodong Li, Weiping |
author_facet | Lin, Hai Na, Peng Zhang, Doudou Liu, Jiali Cai, Xiaodong Li, Weiping |
author_sort | Lin, Hai |
collection | PubMed |
description | The clinical benefit of deep brain stimulation (DBS) for Parkinson's disease (PD) is relevant to the tracts adjacent to the stimulation site, but it remains unclear what connectivity pattern is associated with effective DBS. The aim of this study was to identify clinically effective electrode contacts on the basis of brain connectivity markers derived from diffusion tensor tractography. We reviewed 77 PD patients who underwent bilateral subthalamic nucleus DBS surgery. The patients were assigned into the training (n = 58) and validation (n = 19) groups. According to the therapeutic window size, all contacts were classified into effective and ineffective groups. The whole‐brain connectivity of each contact's volume of tissue activated was estimated using tractography with preoperative diffusion tensor data. Extracted connectivity features were put into an all‐relevant feature selection procedure within cross‐validation loops, to identify features with significant discriminative power for contact classification. A total of 616 contacts on 154 DBS leads were discriminated, with 388 and 228 contacts being classified as effective and ineffective ones, respectively. After the feature selection, the connectivity of contacts with the thalamus, pallidum, hippocampus, primary motor area, supplementary motor area and superior frontal gyrus was identified to significantly contribute to contact classification. Based on these relevant features, the random forest model constructed from the training group achieved an accuracy of 84.9% in the validation group, to discriminate effective contacts from the ineffective. Our findings advanced the understanding of the specific brain connectivity patterns associated with clinical effective electrode contacts, which potentially guided postoperative DBS programming. |
format | Online Article Text |
id | pubmed-7268081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72680812020-06-12 Brain connectivity markers for the identification of effective contacts in subthalamic nucleus deep brain stimulation Lin, Hai Na, Peng Zhang, Doudou Liu, Jiali Cai, Xiaodong Li, Weiping Hum Brain Mapp Research Articles The clinical benefit of deep brain stimulation (DBS) for Parkinson's disease (PD) is relevant to the tracts adjacent to the stimulation site, but it remains unclear what connectivity pattern is associated with effective DBS. The aim of this study was to identify clinically effective electrode contacts on the basis of brain connectivity markers derived from diffusion tensor tractography. We reviewed 77 PD patients who underwent bilateral subthalamic nucleus DBS surgery. The patients were assigned into the training (n = 58) and validation (n = 19) groups. According to the therapeutic window size, all contacts were classified into effective and ineffective groups. The whole‐brain connectivity of each contact's volume of tissue activated was estimated using tractography with preoperative diffusion tensor data. Extracted connectivity features were put into an all‐relevant feature selection procedure within cross‐validation loops, to identify features with significant discriminative power for contact classification. A total of 616 contacts on 154 DBS leads were discriminated, with 388 and 228 contacts being classified as effective and ineffective ones, respectively. After the feature selection, the connectivity of contacts with the thalamus, pallidum, hippocampus, primary motor area, supplementary motor area and superior frontal gyrus was identified to significantly contribute to contact classification. Based on these relevant features, the random forest model constructed from the training group achieved an accuracy of 84.9% in the validation group, to discriminate effective contacts from the ineffective. Our findings advanced the understanding of the specific brain connectivity patterns associated with clinical effective electrode contacts, which potentially guided postoperative DBS programming. John Wiley & Sons, Inc. 2020-01-17 /pmc/articles/PMC7268081/ /pubmed/31951307 http://dx.doi.org/10.1002/hbm.24927 Text en © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Lin, Hai Na, Peng Zhang, Doudou Liu, Jiali Cai, Xiaodong Li, Weiping Brain connectivity markers for the identification of effective contacts in subthalamic nucleus deep brain stimulation |
title | Brain connectivity markers for the identification of effective contacts in subthalamic nucleus deep brain stimulation |
title_full | Brain connectivity markers for the identification of effective contacts in subthalamic nucleus deep brain stimulation |
title_fullStr | Brain connectivity markers for the identification of effective contacts in subthalamic nucleus deep brain stimulation |
title_full_unstemmed | Brain connectivity markers for the identification of effective contacts in subthalamic nucleus deep brain stimulation |
title_short | Brain connectivity markers for the identification of effective contacts in subthalamic nucleus deep brain stimulation |
title_sort | brain connectivity markers for the identification of effective contacts in subthalamic nucleus deep brain stimulation |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268081/ https://www.ncbi.nlm.nih.gov/pubmed/31951307 http://dx.doi.org/10.1002/hbm.24927 |
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