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Mapping and targeting with TMS
Prof. Thomas KnöscheDone
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High-fidelity continuous monitoring of physiology anywhere with RDS
Louis Mayaud, PhDDone
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Atypical neural processing in 22q11.2 Deletion Syndrome and schizophrenia: Towards neuromarkers of disease progression and risk
Prof. Sophie MolholmDone
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Language mapping on patients with parenchymatous tumor in language eloquent areas
Jimmy Landry Zepa YotedjeDone
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Accelerated Intermittent Theta Burst Stimulation: Antidepressant and anti-suicidal effects
Roberto Goya-Maldonado, MDDone
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The condition and perturb approach, a new protocol for preoperative language mapping in patients with brain tumors: First results of intraoperative validation
Tammam Abboud, MDDone
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Phase-amplitude coupling in EEG as a Parkinsonian biomarker
Prof. Thomas R. KnöscheDone
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Real world AI in neurosciences for the benefit of doctors and patients
Stephane Doyen, PhDDone
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Translational endophenotypes (neuromarkers) in neurodevelopmental disorders: From mouse to man in CLN3 (Batten) disease
Prof. John J. FoxeDone
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Do I want to know? Artificial intelligence as a predictive tool in the diagnosis and treatment of cognitive impairment. Development of EEG-based functional network analyses
Prof. Ira Haraldsen, MDDone
A graduate of Czech technical university in Prague, Jan Hubený is an employee of National Institute of Mental Health in Czech Republic where he is part of clinical research program as a biomedical engineer. He works with hdEEG, EEG and PSG in a field of neurosciences. His main focus is in developing and implementation of hdEEG, EEG or PSG experiments and hdEEG analyses.
HdEEG methods are more commonly used in research especially in the area of neurosciences than in clinical neurology. However, those methods could also have a clinical significance. We propose two examples of clinical usage of hdEEG neuroimaging methods. First application example reflects the effect of vibratory stimulation on human EEG signals. This stimulation itself can trigger the kinesthetic illusion and has neurorehabilitation effects on long term immobile patients. We have designed and established the experiment using a Vibramoov device and hdEEG system on 5 healthy subjects. In this experiment we focused on the EEG correlates of complex kinesthetic illusion. Proper and deeper understanding using the hdEEG during vibratory stimulation can help with optimization and individualization of the therapeutic process in the future. Second clinical application of an hdEEG method was a single case study of consciousness in sleep. The subject under the study reported symptoms of sleeping insomnia while the standard polysomnographic (PSG) examination did not confirm any sleep disorder. In literature, It has been suggested that sleep disorders like parasomnia or sleep paralysis can be caused due to a partially awakened and partially sleeping brain. The hdEEG recording system integrated with a PSG system was used to address spatially specific patterns expected to explain the individual sleeping symptoms. In both cases we cover the methods for examination, experiment preparation and the data analysis.