Optimization of TMS target engagement: current state and future perspectives
Neuromodulation 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 function...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2025.1517228/full |
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| author | Pantelis Lioumis Pantelis Lioumis Pantelis Lioumis Timo Roine Timo Roine Ida Granö Dogu Baran Aydogan Dogu Baran Aydogan Elena Ukharova Victor H. Souza Dubravko Kičić Risto J. Ilmoniemi Nikos Makris Nikos Makris Nikos Makris Nikos Makris |
| author_facet | Pantelis Lioumis Pantelis Lioumis Pantelis Lioumis Timo Roine Timo Roine Ida Granö Dogu Baran Aydogan Dogu Baran Aydogan Elena Ukharova Victor H. Souza Dubravko Kičić Risto J. Ilmoniemi Nikos Makris Nikos Makris Nikos Makris Nikos Makris |
| author_sort | Pantelis Lioumis |
| collection | DOAJ |
| description | Neuromodulation 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. |
| format | Article |
| id | doaj-art-d3caa2a59afc4af3a86c0be1518bbd67 |
| institution | Kabale University |
| issn | 1662-453X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj-art-d3caa2a59afc4af3a86c0be1518bbd672025-01-29T06:46:08ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2025-01-011910.3389/fnins.2025.15172281517228Optimization of TMS target engagement: current state and future perspectivesPantelis Lioumis0Pantelis Lioumis1Pantelis Lioumis2Timo Roine3Timo Roine4Ida Granö5Dogu Baran Aydogan6Dogu Baran Aydogan7Elena Ukharova8Victor H. Souza9Dubravko Kičić10Risto J. Ilmoniemi11Nikos Makris12Nikos Makris13Nikos Makris14Nikos Makris15Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, FinlandBioMag Laboratory, HUS Medical Imaging Center, Aalto University, University of Helsinki and Helsinki University Hospital, Helsinki, FinlandCognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, FinlandDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, FinlandAdvanced Magnetic Imaging Centre, Aalto University, Espoo, FinlandDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, FinlandDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, FinlandA.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, FinlandDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, FinlandDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, FinlandDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, FinlandDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, FinlandDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, FinlandDepartments of Psychiatry and Neurology, A. Martinos Center for Biomedical Imaging, Center for Morphometric Analysis, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United StatesDepartment of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, United StatesPsychiatric Neuroimaging Laboratory, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, United StatesNeuromodulation 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.https://www.frontiersin.org/articles/10.3389/fnins.2025.1517228/fullTMS–EEGtarget engagementdMRI (diffusion magnetic resonance imaging)structural connectivityneurophysiological signatures of brain circuits |
| spellingShingle | Pantelis Lioumis Pantelis Lioumis Pantelis Lioumis Timo Roine Timo Roine Ida Granö Dogu Baran Aydogan Dogu Baran Aydogan Elena Ukharova Victor H. Souza Dubravko Kičić Risto J. Ilmoniemi Nikos Makris Nikos Makris Nikos Makris Nikos Makris Optimization of TMS target engagement: current state and future perspectives Frontiers in Neuroscience TMS–EEG target engagement dMRI (diffusion magnetic resonance imaging) structural connectivity neurophysiological signatures of brain circuits |
| title | Optimization of TMS target engagement: current state and future perspectives |
| title_full | Optimization of TMS target engagement: current state and future perspectives |
| title_fullStr | Optimization of TMS target engagement: current state and future perspectives |
| title_full_unstemmed | Optimization of TMS target engagement: current state and future perspectives |
| title_short | Optimization of TMS target engagement: current state and future perspectives |
| title_sort | optimization of tms target engagement current state and future perspectives |
| topic | TMS–EEG target engagement dMRI (diffusion magnetic resonance imaging) structural connectivity neurophysiological signatures of brain circuits |
| url | https://www.frontiersin.org/articles/10.3389/fnins.2025.1517228/full |
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