Advances in closed-loop neuromodulation

Talks

High-fidelity continuous monitoring of physiology anywhere with RDS
Louis Mayaud, PhD
Done
The potential of brain rhythms to gauge the vulnerability of an individual to developing chronic pain
Prof. Ali Mazaheri
Done
Neural markers of motor cognition: What do we know and what’s next?
Claudia Gianelli, PhD
Done
Accelerated Intermittent Theta Burst Stimulation: Antidepressant and anti-suicidal effects
Roberto Goya-Maldonado, MD
Done
The Berger’s discovery revisited: How and why the brain’s dominant rhythm relates to cognition
Tzvetan Popov, PhD
Done
Towards personalised neuromodulation in mental health: A non-invasive avenue of network research into dynamic brain circuits and their dysfunction
Prof. Alexander Sack
Done
Own data, not hardware
Cecilia Mazzetti, PhD
Done
Atypical neural processing in 22q11.2 Deletion Syndrome and schizophrenia: Towards neuromarkers of disease progression and risk
Prof. Sophie Molholm
Done
Electrophysiological measures as biomarkers of disease progression and outcome in psychoses
Prof. Giorgio Di Lorenzo
Done
Clinical brain-computer interfaces: Challenges and new applications
Prof. Surjo Soekadar, MD
Done

11/4/22, 2:30 PM - 11/4/22, 3:00 PM (Europe/Amsterdam) (30 minutes)

David Haslacher

Doctoral candidate Charité – Universitätsmedizin Berlin

David Haslacher studied computer science in Munich, artificial intelligence in Utrecht, and computational neuroscience in Tübingen. Since then, he has been developing the combination of transcranial alternating current stimulation with electro- and magnetoencephalography at the Clinical Neurotechnology Laboratory of the Charité – Universitätsmedizin Berlin. He is now finishing his PhD on closed-loop neuromodulation under the guidance of Surjo Soekadar, and is interested in developing more precise and effective treatments for psychiatric and neurological disorders.

Neuromodulation techniques such as transcranial alternating current stimulation (tACS) are a promising treatment approach for several neurological and psychiatric disorders, but suffer from variable effects due in part to their brain-state dependency. In this talk, I will show how electroencephalography (EEG) has become a useful tool to understand the immediate effects of tACS, and to implement closed-loop systems where tACS is adapted to ongoing brain oscillations in real-time. Finally, some potential clinical applications of such closed-loop approaches are discussed.