Network-level macroscale structural connectivity predicts propagation of transcranial magnetic stimulation.

Adult Brain / diagnostic imaging Connectome / methods Default Mode Network / diagnostic imaging Electroencephalography / methods Female Forecasting Humans Magnetic Resonance Imaging / methods Male Middle Aged Nerve Net / diagnostic imaging Transcranial Magnetic Stimulation / methods Young Adult
Default mode network Dorsal attention network Network Structural connectivity Transcranial magnetic stimulation

Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
01 04 2021
Historique:
received: 17 07 2020
revised: 09 12 2020
accepted: 18 12 2020
pubmed: 2 1 2021
medline: 14 10 2021
entrez: 1 1 2021
Statut: ppublish

Résumé

Information processing in the brain is mediated by structural white matter pathways and is highly dependent on topological brain properties. Here we combined transcranial magnetic stimulation (TMS) with high-density electroencephalography (EEG) and Diffusion Weighted Imaging (DWI), specifically looking at macroscale connectivity to understand whether regional, network-level or whole-brain structural properties are more responsible for stimulus propagation. Neuronavigated TMS pulses were delivered over two individually defined nodes of the default mode (DMN) and dorsal attention (DAN) networks in a group of healthy subjects, with test-retest reliability assessed 1-month apart. TMS-evoked activity was predicted by the modularity and structural integrity of the stimulated network rather than the targeted region(s) or the whole-brain connectivity, suggesting network-level structural connectivity as more relevant than local and global brain properties in shaping TMS signal propagation. The importance of network structural connectome was unveiled only by evoked activity, but not resting-state data. Future clinicals interventions might enhance target engagement by adopting DWI-guided, network-focused TMS.

Identifiants

DOI: 10.1016/j.neuroimage.2020.117698 PMID: 33385561 PMC: PMC9094638
pubmed: 33385561
pii: S1053-8119(20)31183-6
doi: 10.1016/j.neuroimage.2020.117698
pmc: PMC9094638
mid: NIHMS1764542
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

117698

Subventions

Organisme : NINDS NIH HHS
ID : R21 NS085491
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH115949
Pays : United States
Organisme : NINDS NIH HHS
ID : R21 NS082870
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD069776
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH117063
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG060981
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS073601
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG060987
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG031720
Pays : United States
Organisme : NIMH NIH HHS
ID : R21 MH099196
Pays : United States

Informations de copyright

Copyright © 2020. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare no competing financial interests.

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Auteurs

Davide Momi (D)

Berenson-Allen Center for Non-Invasive Brain Stimulation, Beth Israel Deaconess Medical Center, Boston, MA, United States; Department of Neuroscience, Imaging and Clinical Sciences, University of Chieti-Pescara, Chieti, Italy.

Recep A Ozdemir (RA)

Berenson-Allen Center for Non-Invasive Brain Stimulation, Beth Israel Deaconess Medical Center, Boston, MA, United States.

Ehsan Tadayon (E)

Berenson-Allen Center for Non-Invasive Brain Stimulation, Beth Israel Deaconess Medical Center, Boston, MA, United States.

Pierre Boucher (P)

Berenson-Allen Center for Non-Invasive Brain Stimulation, Beth Israel Deaconess Medical Center, Boston, MA, United States.

Mouhsin M Shafi (MM)

Berenson-Allen Center for Non-Invasive Brain Stimulation, Beth Israel Deaconess Medical Center, Boston, MA, United States.

Alvaro Pascual-Leone (A)

Hinda and Arthur Marcus Institute for Aging Research and Deanna and Sidney Wolk Center for Memory Health, Hebrew SeniorLife, Boston MA; Department of Neurology, Harvard Medical School, Boston, MA, United States; Guttmann Brain Health Institut, Guttmann Institut, Universitat Autonoma, Barcelona, Spain.

Emiliano Santarnecchi (E)

Berenson-Allen Center for Non-Invasive Brain Stimulation, Beth Israel Deaconess Medical Center, Boston, MA, United States; Department of Neurology, Harvard Medical School, Boston, MA, United States. Electronic address: esantarn@bidmc.harvard.edu.

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questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Network-level macroscale structural...
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