Targeting the insula with transcranial direct current stimulation; A simulation study.

Insula Insular Cortex Psychiatric disorders Simulation Transcranial Direct Current Stimulation tDCS

Journal

Psychiatry research. Neuroimaging
ISSN: 1872-7506
Titre abrégé: Psychiatry Res Neuroimaging
Pays: Netherlands
ID NLM: 101723001

Informations de publication

Date de publication:
10 2023
Historique:
received: 10 02 2023
revised: 26 08 2023
accepted: 11 09 2023
medline: 6 11 2023
pubmed: 22 9 2023
entrez: 22 9 2023
Statut: ppublish

Résumé

Insula is considered an important region of the brain in the generation and maintenance of a wide range of psychiatric symptoms, possibly due to being key in fundamental functions such as interoception and cognition in general. Investigating the possibility of targeting this area using non-invasive brain stimulation techniques can open new possibilities to probe the normal and abnormal functioning of the brain and potentially new treatment protocols to alleviate symptoms of different psychiatric disorders. In the current study, COMETS2, a MATLAB based toolbox was used to simulate the magnitude of the current density and electric field in the brain caused by different transcranial direct current stimulation (tDCS) protocols to find an optimum montage to target the insula and its 6 subregions for three different current intensities, namely 2, 3, and 4 mA. Frontal and occipital regions were found to be optimal candidate regions.. The results of the current study showed that it is viable to reach the insula and its individual subregions using tDCS.

Identifiants

pubmed: 37738706
pii: S0925-4927(23)00128-2
doi: 10.1016/j.pscychresns.2023.111718
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

111718

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Negin Esmaeilzadeh Kiabani (N)

Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran.

Reza Kazemi (R)

Faculty of Entrepreneurship, University of Tehran, Tehran, Iran. Electronic address: rezakazemi@ut.ac.ir.

Abed L Hadipour (AL)

Department of Cognitive Sciences, University of Messina, Messina, Italy.

Sanaz Khomami (S)

Department of Psychology, South Tehran Branch, Islamic Azad University, Tehran, Iran.

Benjamin Kalloch (B)

Max Planck Institute for Human Cognitive and Brain Sciences, Instiute of Biomedical Engineering and Informatics, Germany & Technische Universität Ilmenau, Ilmenau, Leipzig, Germany.

Mario Hlawitschka (M)

Faculty of Computer Science and Media, Leipzig University of Applied Science, Leipzig, Germany.

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Classifications MeSH