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Monday, July 20 • 8:00pm - 9:00pm
P202: Analysis of Parkinson's Disease Tremor With t-SNE

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Dmitrii Todorov

Many symptoms of Parkinson’s disease, despite a long history of research, are still not completely understood. In particular, there is no clear understanding on how Parkinsonian rest tremor is generated and even how it can be detected and distinguished from voluntary movements in neural recordings. In my BCI-flavour study I use multimodal (MEG and STN LFP) brain data, recorded from tremor-dominant PD patients and employ several data analysis methods (PCA, LDA, t-SNE, UMAP) on it to evaluate how distinguishable are distinct behavioral states (rest, tremor, voluntary movements). We also describe which data features (both spectral and time-domain ones) contribute most to such classification (see second file page for additional details).

Link to an outline (audio to be listened to, while looking at the poster pdf -- same as attached file)
Google Meet: https://meet.google.com/ixh-gagf-cec

avatar for Dmitrii Todorov

Dmitrii Todorov

postdoc, Computational Neuroscience Group, Centre de Recerca Matemàtica
I am a Marie Curie postdoc in Barcelona, working in mathematical/computational neuroscience. My PhD was in pure math dynamical systems/chaos theory, later I worked is several different subfields of computational neuroscience. I have expertise in modeling motor learning, stochastic... Read More →

Monday July 20, 2020 8:00pm - 9:00pm CEST
Slot 06