Johannes Sarnthein @SarntheinJ
EEG iEEG epilepsy HFO clinical neurophysiology hfozuri.ch Zurich Joined May 2021-
Tweets17
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Followers52
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Following15
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Likes9
[Somatosensory evoked potential (#SEP)] Dimakopoulos et al.: "Best stimulation rate was 12.7 Hz for medianus SEP recordings ≤5 s but 4.7 Hz for tibial SEP and longer medianus SEP recordings." Open access: doi.org/10.1016/j.clin…
Dimakopoulos et al. applied automated HFO detection on iEEG from patients that underwent epilepsy surgery. The analysis is blind to clinical outcome and achieves good prediction of seizure outcome. bit.ly/3JEVTUn @Unispital_USZ @UZH_en @DimakopoulosVas @SarntheinJ
Have you seen our study in @braincomms? Our prospective definion of HFO (@Unispital_USZ, @SarntheinJ) predicts seizure outcome in epilepsy patients who underwent resective surgery in @Hopitaux_unige academic.oup.com/braincomms/art…
New paper from @SarntheinJ and team at @Unispital_USZ: "Information flows from hippocampus to auditory cortex during replay of verbal working memory items", out now at @eLife featuring intracranial EEG data and iELVis for visualization! doi.org/10.7554/eLife.…
While epilepsy patients activated their phonological working memory, incoming information flowed from sensory cortex to hippocampus. During memory maintenance, information flow from hippocampus to auditory cortex indicated replay of the memory items. doi.org/10.7554/eLife.…
Measuring the flow of signals between different brain areas during a memory test reveals hidden secrets about our working memory.elifesciences.org/digests/78677/…
In Scientific Reports rdcu.be/cGdDU, Karla Burelo shows together with Georgia Ramantani, @giacomoi, and @SarntheinJ that a #neuromorphic #SNN model detects interictal #HFO in scalp #EEG and predicts seizure frequency in children. #AI #epilepsy hfozuri.ch
A device made from artificial neurons recognizes biosignals in real time. The chip uses data recorded from the brainwaves of #epilepsy patients to identify which regions of the brain cause epileptic seizures: media.uzh.ch/en/Press-Relea… @giacomoi @ethz @Unispital_USZ @UZH_Science
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Giacomo Indiveri | @g.. @giacomoi
1K Followers 271 Following Tired of Twitter. Moving to Mastodon: [email protected][Somatosensory evoked potential (#SEP)] Dimakopoulos et al.: "Best stimulation rate was 12.7 Hz for medianus SEP recordings ≤5 s but 4.7 Hz for tibial SEP and longer medianus SEP recordings." Open access: doi.org/10.1016/j.clin…
Dimakopoulos et al. applied automated HFO detection on iEEG from patients that underwent epilepsy surgery. The analysis is blind to clinical outcome and achieves good prediction of seizure outcome. bit.ly/3JEVTUn @Unispital_USZ @UZH_en @DimakopoulosVas @SarntheinJ
Have you seen our study in @braincomms? Our prospective definion of HFO (@Unispital_USZ, @SarntheinJ) predicts seizure outcome in epilepsy patients who underwent resective surgery in @Hopitaux_unige academic.oup.com/braincomms/art…
Lucky to be working with this amazing group of people: @BakermansJJW , @BaramAlon, Tommaso Fedele, Debora Ledergerber, Lukas Imbach, @HelenCBarron, @SarntheinJ, @behrenstimb 5/N
New paper from @SarntheinJ and team at @Unispital_USZ: "Information flows from hippocampus to auditory cortex during replay of verbal working memory items", out now at @eLife featuring intracranial EEG data and iELVis for visualization! doi.org/10.7554/eLife.…
While epilepsy patients activated their phonological working memory, incoming information flowed from sensory cortex to hippocampus. During memory maintenance, information flow from hippocampus to auditory cortex indicated replay of the memory items. doi.org/10.7554/eLife.…
Measuring the flow of signals between different brain areas during a memory test reveals hidden secrets about our working memory.elifesciences.org/digests/78677/…
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