Predicting inhibitory and excitatory intracortical network states with EEG–TMS and machine learning: a pilot study

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Bibliographic Details
Main Authors: Andreas Jooß, Lisa Haxel, Miriam Kirchhoff, Oskari Ahola, Olli-Pekka Kahilakoski, Ulf Ziemann
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Brain Stimulation
Online Access:http://www.sciencedirect.com/science/article/pii/S1935861X24011197
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author Andreas Jooß
Lisa Haxel
Miriam Kirchhoff
Oskari Ahola
Olli-Pekka Kahilakoski
Ulf Ziemann
author_facet Andreas Jooß
Lisa Haxel
Miriam Kirchhoff
Oskari Ahola
Olli-Pekka Kahilakoski
Ulf Ziemann
author_sort Andreas Jooß
collection DOAJ
format Article
id doaj-art-00fedaea000c43d5bac89f00a0c68d78
institution OA Journals
issn 1935-861X
language English
publishDate 2025-01-01
publisher Elsevier
record_format Article
series Brain Stimulation
spelling doaj-art-00fedaea000c43d5bac89f00a0c68d782025-08-20T02:01:14ZengElsevierBrain Stimulation1935-861X2025-01-0118153210.1016/j.brs.2024.12.924Predicting inhibitory and excitatory intracortical network states with EEG–TMS and machine learning: a pilot studyAndreas Jooß0Lisa Haxel1Miriam Kirchhoff2Oskari Ahola3Olli-Pekka Kahilakoski4Ulf Ziemann5University of Tübingen, Germany; Eberhard Karls University Tubingen Hertie Institute for Clinical Brain Research, GermanyUniversity of Tübingen, Germany; Eberhard Karls University Tubingen Hertie Institute for Clinical Brain Research, GermanyUniversity of Tübingen, Germany; Eberhard Karls University Tubingen Hertie Institute for Clinical Brain Research, GermanyUniversity of Tübingen, Germany; Eberhard Karls University Tubingen Hertie Institute for Clinical Brain Research, Germany; Aalto University School of Science, FinlandAalto University School of Science, FinlandUniversity of Tübingen, Germany; Eberhard Karls University Tubingen Hertie Institute for Clinical Brain Research, Germanyhttp://www.sciencedirect.com/science/article/pii/S1935861X24011197
spellingShingle Andreas Jooß
Lisa Haxel
Miriam Kirchhoff
Oskari Ahola
Olli-Pekka Kahilakoski
Ulf Ziemann
Predicting inhibitory and excitatory intracortical network states with EEG–TMS and machine learning: a pilot study
Brain Stimulation
title Predicting inhibitory and excitatory intracortical network states with EEG–TMS and machine learning: a pilot study
title_full Predicting inhibitory and excitatory intracortical network states with EEG–TMS and machine learning: a pilot study
title_fullStr Predicting inhibitory and excitatory intracortical network states with EEG–TMS and machine learning: a pilot study
title_full_unstemmed Predicting inhibitory and excitatory intracortical network states with EEG–TMS and machine learning: a pilot study
title_short Predicting inhibitory and excitatory intracortical network states with EEG–TMS and machine learning: a pilot study
title_sort predicting inhibitory and excitatory intracortical network states with eeg tms and machine learning a pilot study
url http://www.sciencedirect.com/science/article/pii/S1935861X24011197
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AT miriamkirchhoff predictinginhibitoryandexcitatoryintracorticalnetworkstateswitheegtmsandmachinelearningapilotstudy
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