Dallmer-Zerbe I - Search Results

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Computational modeling allows unsupervised classification of epileptic brain states across species.

Dallmer-Zerbe I, Jajcay N, Chvojka J, Janca R, Jezdik P, Krsek P, Marusic P, Jiruska P, Hlinka J. Dallmer-Zerbe I, et al. Sci Rep. 2023 Aug 18;13(1):13436. doi: 10.1038/s41598-023-39867-z. Sci Rep. 2023. PMID: 37596382 Free PMC article.

Personalized dynamic network models of the human brain as a future tool for planning and optimizing epilepsy therapy.

Dallmer-Zerbe I, Jiruska P, Hlinka J. Dallmer-Zerbe I, et al. Epilepsia. 2023 Sep;64(9):2221-2238. doi: 10.1111/epi.17690. Epub 2023 Jul 10. Epilepsia. 2023. PMID: 37340565 Review.

Transcranial Alternating Current Stimulation (tACS) as a Tool to Modulate P300 Amplitude in Attention Deficit Hyperactivity Disorder (ADHD): Preliminary Findings.

Dallmer-Zerbe I, Popp F, Lam AP, Philipsen A, Herrmann CS. Dallmer-Zerbe I, et al. Brain Topogr. 2020 Mar;33(2):191-207. doi: 10.1007/s10548-020-00752-x. Epub 2020 Jan 23. Brain Topogr. 2020. PMID: 31974733 Free PMC article.

Challenges of P300 Modulation Using Transcranial Alternating Current Stimulation (tACS).

Popp F, Dallmer-Zerbe I, Philipsen A, Herrmann CS. Popp F, et al. Among authors: dallmer zerbe i. Front Psychol. 2019 Mar 5;10:476. doi: 10.3389/fpsyg.2019.00476. eCollection 2019. Front Psychol. 2019. PMID: 30890990 Free PMC article.

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