Dynamical and individualised approach of transcranial ultrasound neuromodulation effects in non-human primates.

Animals Magnetic Resonance Imaging / methods Male Prefrontal Cortex / physiology Brain / physiology Macaca mulatta Motor Cortex / physiology Brain Mapping / methods Gyrus Cinguli / physiology
Animal model Focused ultrasound stimulation Seed-based connectivity Ultrasound Whole brain

Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
24 May 2024
Historique:
received: 15 01 2024
accepted: 18 05 2024
medline: 25 5 2024
pubmed: 25 5 2024
entrez: 24 5 2024
Statut: epublish

Résumé

Low-frequency transcranial ultrasound stimulation (TUS) allows to alter brain functioning with a high spatial resolution and to reach deep targets. However, the time-course of TUS effects remains largely unknown. We applied TUS on three brain targets for three different monkeys: the anterior medial prefrontal cortex, the supplementary motor area and the perigenual anterior cingulate cortex. For each, one resting-state fMRI was acquired between 30 and 150 min after TUS as well as one without stimulation (control). We captured seed-based brain connectivity changes dynamically and on an individual basis. We also assessed between individuals and between targets homogeneity and brain features that predicted TUS changes. We found that TUS prompts heterogenous functional connectivity alterations yet retain certain consistent changes; we identified 6 time-courses of changes including transient and long duration alterations; with a notable degree of accuracy we found that brain alterations could partially be predicted. Altogether, our results highlight that TUS induces heterogeneous functional connectivity alterations. On a more technical point, we also emphasize the need to consider brain changes over-time rather than just observed during a snapshot; to consider inter-individual variability since changes could be highly different from one individual to another.

Identifiants

DOI: 10.1038/s41598-024-62562-6 PMID: 38789473
pubmed: 38789473
doi: 10.1038/s41598-024-62562-6
pii: 10.1038/s41598-024-62562-6
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

11916

Subventions

Organisme : Engineering and Physical Sciences Research Council
ID : EP/W004488/1

Informations de copyright

© 2024. The Author(s).

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Auteurs

Cyril Atkinson-Clement (C)

Precision Imaging, School of Medicine, University of Nottingham, Nottingham, UK. Cyril.Atkinson-Clement@nottingham.ac.uk.

Mohammad Alkhawashki (M)

Precision Imaging, School of Medicine, University of Nottingham, Nottingham, UK.

James Ross (J)

Precision Imaging, School of Medicine, University of Nottingham, Nottingham, UK.

Marilyn Gatica (M)

Precision Imaging, School of Medicine, University of Nottingham, Nottingham, UK.

Chencheng Zhang (C)

Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai, China.

Jerome Sallet (J)

Department of Experimental Psychology, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.
Inserm, Stem Cell and Brain Research Institute U1208, Université Lyon 1, Bron, France.

Marcus Kaiser (M)

Precision Imaging, School of Medicine, University of Nottingham, Nottingham, UK.
School of Computing Science, Newcastle University, Newcastle upon Tyne, UK.
Rui Jin Hospital, Shanghai Jiao Tong University, Shanghai, China.

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