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Nucleus Basalis of Meynert Stimulation for Dementia: Theoretical and Technical Considerations
Deep brain stimulation (DBS) of nucleus basalis of Meynert (NBM) is currently being evaluated as a potential therapy to improve memory and overall cognitive function in dementia. Although, the animal literature has demonstrated robust improvement in cognitive functions, phase 1 trial results in huma...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6130053/ https://www.ncbi.nlm.nih.gov/pubmed/30233297 http://dx.doi.org/10.3389/fnins.2018.00614 |
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author | Kumbhare, Deepak Palys, Viktoras Toms, Jamie Wickramasinghe, Chathurika S. Amarasinghe, Kasun Manic, Milos Hughes, Evan Holloway, Kathryn L. |
author_facet | Kumbhare, Deepak Palys, Viktoras Toms, Jamie Wickramasinghe, Chathurika S. Amarasinghe, Kasun Manic, Milos Hughes, Evan Holloway, Kathryn L. |
author_sort | Kumbhare, Deepak |
collection | PubMed |
description | Deep brain stimulation (DBS) of nucleus basalis of Meynert (NBM) is currently being evaluated as a potential therapy to improve memory and overall cognitive function in dementia. Although, the animal literature has demonstrated robust improvement in cognitive functions, phase 1 trial results in humans have not been as clear-cut. We hypothesize that this may reflect differences in electrode location within the NBM, type and timing of stimulation, and the lack of a biomarker for determining the stimulation’s effectiveness in real time. In this article, we propose a methodology to address these issues in an effort to effectively interface with this powerful cognitive nucleus for the treatment of dementia. Specifically, we propose the use of diffusion tensor imaging to identify the nucleus and its tracts, quantitative electroencephalography (QEEG) to identify the physiologic response to stimulation during programming, and investigation of stimulation parameters that incorporate the phase locking and cross frequency coupling of gamma and slower oscillations characteristic of the NBM’s innate physiology. We propose that modulating the baseline gamma burst stimulation frequency, specifically with a slower rhythm such as theta or delta will pose more effective coupling between NBM and different cortical regions involved in many learning processes. |
format | Online Article Text |
id | pubmed-6130053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-61300532018-09-19 Nucleus Basalis of Meynert Stimulation for Dementia: Theoretical and Technical Considerations Kumbhare, Deepak Palys, Viktoras Toms, Jamie Wickramasinghe, Chathurika S. Amarasinghe, Kasun Manic, Milos Hughes, Evan Holloway, Kathryn L. Front Neurosci Neuroscience Deep brain stimulation (DBS) of nucleus basalis of Meynert (NBM) is currently being evaluated as a potential therapy to improve memory and overall cognitive function in dementia. Although, the animal literature has demonstrated robust improvement in cognitive functions, phase 1 trial results in humans have not been as clear-cut. We hypothesize that this may reflect differences in electrode location within the NBM, type and timing of stimulation, and the lack of a biomarker for determining the stimulation’s effectiveness in real time. In this article, we propose a methodology to address these issues in an effort to effectively interface with this powerful cognitive nucleus for the treatment of dementia. Specifically, we propose the use of diffusion tensor imaging to identify the nucleus and its tracts, quantitative electroencephalography (QEEG) to identify the physiologic response to stimulation during programming, and investigation of stimulation parameters that incorporate the phase locking and cross frequency coupling of gamma and slower oscillations characteristic of the NBM’s innate physiology. We propose that modulating the baseline gamma burst stimulation frequency, specifically with a slower rhythm such as theta or delta will pose more effective coupling between NBM and different cortical regions involved in many learning processes. Frontiers Media S.A. 2018-09-03 /pmc/articles/PMC6130053/ /pubmed/30233297 http://dx.doi.org/10.3389/fnins.2018.00614 Text en Copyright © 2018 Kumbhare, Palys, Toms, Wickramasinghe, Amarasinghe, Manic, Hughes and Holloway. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Kumbhare, Deepak Palys, Viktoras Toms, Jamie Wickramasinghe, Chathurika S. Amarasinghe, Kasun Manic, Milos Hughes, Evan Holloway, Kathryn L. Nucleus Basalis of Meynert Stimulation for Dementia: Theoretical and Technical Considerations |
title | Nucleus Basalis of Meynert Stimulation for Dementia: Theoretical and Technical Considerations |
title_full | Nucleus Basalis of Meynert Stimulation for Dementia: Theoretical and Technical Considerations |
title_fullStr | Nucleus Basalis of Meynert Stimulation for Dementia: Theoretical and Technical Considerations |
title_full_unstemmed | Nucleus Basalis of Meynert Stimulation for Dementia: Theoretical and Technical Considerations |
title_short | Nucleus Basalis of Meynert Stimulation for Dementia: Theoretical and Technical Considerations |
title_sort | nucleus basalis of meynert stimulation for dementia: theoretical and technical considerations |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6130053/ https://www.ncbi.nlm.nih.gov/pubmed/30233297 http://dx.doi.org/10.3389/fnins.2018.00614 |
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