Sotirios Kalousios

ORCID: 0009-0007-7072-9576
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About
Contact & Profiles
Research Areas
  • EEG and Brain-Computer Interfaces
  • Epilepsy research and treatment
  • Neurological disorders and treatments
  • Functional Brain Connectivity Studies
  • Vagus Nerve Stimulation Research
  • Neuroscience and Neural Engineering
  • Pharmacological Effects and Toxicity Studies
  • Neural dynamics and brain function
  • Diet and metabolism studies

University Medical Center Freiburg
2024-2025

University of Freiburg
2024-2025

University Hospital Carl Gustav Carus
2024

Technische Universität Dresden
2024

Introduction A novel focal cortex stimulation (FCS) device has recently received approval in Europe for patients with drug-resistant epilepsy (DRE). After 6 months of stimulation, 17 32 achieved ≥50% reduction seizure frequency compared their prestimulation baseline (responders). Currently, there is no established method predicting FCS treatment response prior to implantation. Methods and analysis This an ongoing combined retrospective-prospective non-interventional multicentre study....

10.1136/bmjopen-2024-089903 article EN cc-by-nc-nd BMJ Open 2025-02-01

Objective Closed-loop neurostimulation is a promising treatment for drug-resistant focal epilepsy. A major challenge fast and reliable seizure detection via electroencephalography (EEG). While many approaches have been published, they often lack statistical power practical utility. The use of various EEG preprocessing parameters performance metrics hampers comparability. Additionally, the critical issue energy consumption an application in medical devices rarely considered. Addressing these...

10.1101/2025.01.17.25320722 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2025-01-17

Abstract Objective Up to a third of patients with epilepsy fail achieve satisfactory seizure control. A reliable method predicting seizures would alleviate psychological and physical impact. Dysregulation in heart rate variability (HRV) has been found precede epileptic may serve as an extracerebral predictive biomarker. This study aims identify the preictal HRV dynamics unveil factors impeding clinical application ECG‐based prediction. Methods Thirty‐nine adult (eight women; median age: 38,...

10.1002/epi4.13073 article EN cc-by-nc-nd Epilepsia Open 2024-11-12
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