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Precision mapping and transcranial magnetic stimulation of individual-specific functional brain networks in humans

Spatial targeting in transcranial magnetic stimulation protocols does not typically account for the idiosyncratic functional organization of individual human brains. Here, we provide a protocol for implementing targeted functional network stimulation (TANS), which accounts for each individual’s uniq...

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Detalles Bibliográficos
Autores principales: Lynch, Charles J., Elbau, Immanuel G., Zhu, Shasha, Ayaz, Aliza, Bukhari, Hussain, Power, Jonathan D., Liston, Conor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958066/
https://www.ncbi.nlm.nih.gov/pubmed/36853696
http://dx.doi.org/10.1016/j.xpro.2023.102118
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author Lynch, Charles J.
Elbau, Immanuel G.
Zhu, Shasha
Ayaz, Aliza
Bukhari, Hussain
Power, Jonathan D.
Liston, Conor
author_facet Lynch, Charles J.
Elbau, Immanuel G.
Zhu, Shasha
Ayaz, Aliza
Bukhari, Hussain
Power, Jonathan D.
Liston, Conor
author_sort Lynch, Charles J.
collection PubMed
description Spatial targeting in transcranial magnetic stimulation protocols does not typically account for the idiosyncratic functional organization of individual human brains. Here, we provide a protocol for implementing targeted functional network stimulation (TANS), which accounts for each individual’s unique functional neuroanatomy and cortical folding patterns. Using an example dataset, we describe how to create a head model and estimate the best coil placement and stimulation intensity to minimize off-target effects. For complete details on the use and execution of this protocol, please refer to Lynch et al. (2022).(1)
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spelling pubmed-99580662023-02-26 Precision mapping and transcranial magnetic stimulation of individual-specific functional brain networks in humans Lynch, Charles J. Elbau, Immanuel G. Zhu, Shasha Ayaz, Aliza Bukhari, Hussain Power, Jonathan D. Liston, Conor STAR Protoc Protocol Spatial targeting in transcranial magnetic stimulation protocols does not typically account for the idiosyncratic functional organization of individual human brains. Here, we provide a protocol for implementing targeted functional network stimulation (TANS), which accounts for each individual’s unique functional neuroanatomy and cortical folding patterns. Using an example dataset, we describe how to create a head model and estimate the best coil placement and stimulation intensity to minimize off-target effects. For complete details on the use and execution of this protocol, please refer to Lynch et al. (2022).(1) Elsevier 2023-02-14 /pmc/articles/PMC9958066/ /pubmed/36853696 http://dx.doi.org/10.1016/j.xpro.2023.102118 Text en © 2023 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 Protocol
Lynch, Charles J.
Elbau, Immanuel G.
Zhu, Shasha
Ayaz, Aliza
Bukhari, Hussain
Power, Jonathan D.
Liston, Conor
Precision mapping and transcranial magnetic stimulation of individual-specific functional brain networks in humans
title Precision mapping and transcranial magnetic stimulation of individual-specific functional brain networks in humans
title_full Precision mapping and transcranial magnetic stimulation of individual-specific functional brain networks in humans
title_fullStr Precision mapping and transcranial magnetic stimulation of individual-specific functional brain networks in humans
title_full_unstemmed Precision mapping and transcranial magnetic stimulation of individual-specific functional brain networks in humans
title_short Precision mapping and transcranial magnetic stimulation of individual-specific functional brain networks in humans
title_sort precision mapping and transcranial magnetic stimulation of individual-specific functional brain networks in humans
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958066/
https://www.ncbi.nlm.nih.gov/pubmed/36853696
http://dx.doi.org/10.1016/j.xpro.2023.102118
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