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A guide for concurrent TMS-fMRI to investigate functional brain networks
Transcranial Magnetic Stimulation (TMS) allows for the direct activation of neurons in the human neocortex and has proven to be fundamental for causal hypothesis testing in cognitive neuroscience. By administering TMS concurrently with functional Magnetic Resonance Imaging (fMRI), the effect of cort...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9799237/ https://www.ncbi.nlm.nih.gov/pubmed/36590069 http://dx.doi.org/10.3389/fnhum.2022.1050605 |
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author | Riddle, Justin Scimeca, Jason M. Pagnotta, Mattia F. Inglis, Ben Sheltraw, Daniel Muse-Fisher, Chris D’Esposito, Mark |
author_facet | Riddle, Justin Scimeca, Jason M. Pagnotta, Mattia F. Inglis, Ben Sheltraw, Daniel Muse-Fisher, Chris D’Esposito, Mark |
author_sort | Riddle, Justin |
collection | PubMed |
description | Transcranial Magnetic Stimulation (TMS) allows for the direct activation of neurons in the human neocortex and has proven to be fundamental for causal hypothesis testing in cognitive neuroscience. By administering TMS concurrently with functional Magnetic Resonance Imaging (fMRI), the effect of cortical TMS on activity in distant cortical and subcortical structures can be quantified by varying the levels of TMS output intensity. However, TMS generates significant fluctuations in the fMRI time series, and their complex interaction warrants caution before interpreting findings. We present the methodological challenges of concurrent TMS-fMRI and a guide to minimize induced artifacts in experimental design and post-processing. Our study targeted two frontal-striatal circuits: primary motor cortex (M1) projections to the putamen and lateral prefrontal cortex (PFC) projections to the caudate in healthy human participants. We found that TMS parametrically increased the BOLD signal in the targeted region and subcortical projections as a function of stimulation intensity. Together, this work provides practical steps to overcome common challenges with concurrent TMS-fMRI and demonstrates how TMS-fMRI can be used to investigate functional brain networks. |
format | Online Article Text |
id | pubmed-9799237 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97992372022-12-30 A guide for concurrent TMS-fMRI to investigate functional brain networks Riddle, Justin Scimeca, Jason M. Pagnotta, Mattia F. Inglis, Ben Sheltraw, Daniel Muse-Fisher, Chris D’Esposito, Mark Front Hum Neurosci Neuroscience Transcranial Magnetic Stimulation (TMS) allows for the direct activation of neurons in the human neocortex and has proven to be fundamental for causal hypothesis testing in cognitive neuroscience. By administering TMS concurrently with functional Magnetic Resonance Imaging (fMRI), the effect of cortical TMS on activity in distant cortical and subcortical structures can be quantified by varying the levels of TMS output intensity. However, TMS generates significant fluctuations in the fMRI time series, and their complex interaction warrants caution before interpreting findings. We present the methodological challenges of concurrent TMS-fMRI and a guide to minimize induced artifacts in experimental design and post-processing. Our study targeted two frontal-striatal circuits: primary motor cortex (M1) projections to the putamen and lateral prefrontal cortex (PFC) projections to the caudate in healthy human participants. We found that TMS parametrically increased the BOLD signal in the targeted region and subcortical projections as a function of stimulation intensity. Together, this work provides practical steps to overcome common challenges with concurrent TMS-fMRI and demonstrates how TMS-fMRI can be used to investigate functional brain networks. Frontiers Media S.A. 2022-12-15 /pmc/articles/PMC9799237/ /pubmed/36590069 http://dx.doi.org/10.3389/fnhum.2022.1050605 Text en Copyright © 2022 Riddle, Scimeca, Pagnotta, Inglis, Sheltraw, Muse-Fisher and D’Esposito. https://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 Riddle, Justin Scimeca, Jason M. Pagnotta, Mattia F. Inglis, Ben Sheltraw, Daniel Muse-Fisher, Chris D’Esposito, Mark A guide for concurrent TMS-fMRI to investigate functional brain networks |
title | A guide for concurrent TMS-fMRI to investigate functional brain networks |
title_full | A guide for concurrent TMS-fMRI to investigate functional brain networks |
title_fullStr | A guide for concurrent TMS-fMRI to investigate functional brain networks |
title_full_unstemmed | A guide for concurrent TMS-fMRI to investigate functional brain networks |
title_short | A guide for concurrent TMS-fMRI to investigate functional brain networks |
title_sort | guide for concurrent tms-fmri to investigate functional brain networks |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9799237/ https://www.ncbi.nlm.nih.gov/pubmed/36590069 http://dx.doi.org/10.3389/fnhum.2022.1050605 |
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