Optimization of TMS target engagement : current state and future perspectives

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorLioumis, Pantelis
dc.contributor.authorRoine, Timo
dc.contributor.authorGrano, Ida
dc.contributor.authorAydogan, Dogu Baran
dc.contributor.authorUkharova, Elena
dc.contributor.authorSouza, Victor H.
dc.contributor.authorKicic, Dubravko
dc.contributor.authorIlmoniemi, Risto J.
dc.contributor.authorMakris, Nikos
dc.contributor.departmentDepartment of Neuroscience and Biomedical Engineeringen
dc.contributor.organizationDepartment of Neuroscience and Biomedical Engineering
dc.date.accessioned2025-03-04T21:01:12Z
dc.date.available2025-03-04T21:01:12Z
dc.date.issued2025-01-29
dc.description| openaire: EC/H2020/810377/EU//ConnectToBrain
dc.description.abstractNeuromodulation is based on the principle that brain stimulation produces plastic changes in cerebral circuitry. Given the intersubject structural and functional variability, neuromodulation has a personalized effect in the brain. Moreover, because of cerebral dominance and interhemispheric functional and structural differences in the same individual, the characterization of specific brain circuitries involved is currently not feasible. This notion is extremely important for neuromodulation treatments applied in neuropsychiatry. Specifically, the efficacy of the neuromodulation treatments is critically dependent on the anatomical precision of the brain target and the circuitry which has been affected by the TMS intervention. Furthermore, for a complete understanding of how the brain behaves under stimulation, the characterization of its neurophysiological response is necessary as well. This goal can be achieved with TMS–EEG guided by current multimodal neuroimaging techniques in real time, namely MRI-based anatomical segmentation and diffusion MRI-based tractographic analysis.en
dc.description.versionPeer revieweden
dc.format.extent6
dc.format.mimetypeapplication/pdf
dc.identifier.citationLioumis, P, Roine, T, Grano, I, Aydogan, D B, Ukharova, E, Souza, V H, Kicic, D, Ilmoniemi, R J & Makris, N 2025, 'Optimization of TMS target engagement : current state and future perspectives', Frontiers in Neuroscience, vol. 19, 1517228, pp. 1-6. https://doi.org/10.3389/fnins.2025.1517228en
dc.identifier.doi10.3389/fnins.2025.1517228
dc.identifier.issn1662-4548
dc.identifier.otherPURE UUID: 2e61bbd1-0620-417d-8a89-83c26f27197f
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/2e61bbd1-0620-417d-8a89-83c26f27197f
dc.identifier.otherPURE LINK: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=aalto_pure&SrcAuth=WosAPI&KeyUT=WOS:001418082700001&DestLinkType=FullRecord&DestApp=WOS_CPL
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85219434271&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/175795934/Optimization_of_TMS_target_engagement.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/134413
dc.identifier.urnURN:NBN:fi:aalto-202503042672
dc.language.isoenen
dc.publisherFrontiers Media
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/810377/EU//ConnectToBrain
dc.relation.ispartofseriesFrontiers in Neuroscienceen
dc.relation.ispartofseriesVolume 19, pp. 1-6en
dc.rightsopenAccessen
dc.rightsCC BY
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.keywordNeurophysiological signatures of brain circuits
dc.subject.keywordStructural connectivity
dc.subject.keywordTarget engagement
dc.subject.keywordTms-eeg
dc.subject.keyworddMRI (diffusion magnetic resonance imaging)
dc.titleOptimization of TMS target engagement : current state and future perspectivesen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Optimization_of_TMS_target_engagement.pdf
Size:
1 MB
Format:
Adobe Portable Document Format