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Characterizing TMS-EEG perturbation indexes using signal energy: initial study on Alzheimer's Disease classification. (arXiv:2205.03241v1 [eess.SP])
May 9, 2022, 1:11 a.m. | Alexandra-Maria Tautan, Elias Casula, Ilaria Borghi, Michele Maiella, Sonia Bonni, Marilena Minei, Martina Assogna, Bogdan Ionescu, Giacomo Koch, Emil
cs.LG updates on arXiv.org arxiv.org
Transcranial Magnetic Stimulation (TMS) combined with EEG recordings
(TMS-EEG) has shown great potential in the study of the brain and in particular
of Alzheimer's Disease (AD). In this study, we propose an automatic method of
determining the duration of TMS induced perturbation of the EEG signal as a
potential metric reflecting the brain's functional alterations. A preliminary
study is conducted in patients with Alzheimer's disease (AD). Three metrics for
characterizing the strength and duration of TMS evoked EEG (TEP) activity …
alzheimer's arxiv classification disease energy signal study
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