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From one-size-fits-all psychiatry to stratified psychiatry: Brain markers and heart-brain-coupling
Martijn Arns, PhDDone
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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
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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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Towards personalised neuromodulation in mental health: A non-invasive avenue of network research into dynamic brain circuits and their dysfunction
Prof. Marcus KaiserDone
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The potential of brain rhythms to gauge the vulnerability of an individual to developing chronic pain
Prof. Ali MazaheriDone
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Electrophysiological measures as biomarkers of disease progression and outcome in psychoses
Prof. Giorgio Di LorenzoDone
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Towards personalised neuromodulation in mental health: A non-invasive avenue of network research into dynamic brain circuits and their dysfunction
Prof. Alexander SackDone
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Neural markers of motor cognition: What do we know and what’s next?
Claudia Gianelli, PhDDone
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Multi-center validation of dry vs. gel-based EEG cap performance
Prof. Patrique FiedlerDone
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Schizophrenia: A temporal disorder?
Dr. Annemarie WolffDone
Thomas Knösche received his diploma in Electrical Engineering from the Ilmenau University of Technology in 1992. He defended his PhD thesis on the neuroelectromagnetic inverse problem in 1997 at the Technical University of Twente, and his habilitation thesis in 2010. After working as an R&D-Manager with A.N.T. Software from 1997-2001, he took a position as staff scientist at the Max Planck Institute for Human Cognitive and Brain Sciences at Leipzig (Germany). He is now heading the Research and Development Group „Brain Networks“ and teaches as a Honorary Professor for Imaging and Modeling in the Neurosciences at Ilmenau University of Technology. Prof. Knösche has made contributions to mathematical modeling of neuronal networks, biophysical modeling of EEG, MEG, and brain stimulation, reconstruction of fiber connections in the brain using diffusion MRI, as well as neurocognition of music, language and memory. He has authored more than 90 peer-reviewed scientific contributions.
Abnormal beta-gamma phase-amplitude coupling (PAC) has been proposed as biomarker of Parkinson’s disease (PD), while its relationship to motor impairment is unclear. Using EEG, we showed enhanced resting-state PAC in somato-motor cortex of PD patients (Gong et al., 2021). During movement, overall PAC enhancement in patients did not correlate with motor impairment, while a distinct PAC motif around movement onset was linked to performance, highlighting the role of dysfunctional evolution of neural dynamics during movement execution in the pathophysiology of PD bradykinesia (Gong et al., 2022). Gong, Wegscheider, Mühlberg, Gast, Fricke, Rumpf, Nikulin, Knösche, Claßen: Spatio-temporal characteristics of β-γ phase-amplitude coupling in Parkinson’s disease, Brain 144(2), 487–503 (2021) Gong, Mühlberg, Wegscheider, Fricke, Rumpf, Knösche, Claßen: Cross-frequency phase-amplitude coupling in repetitive movements in patients with Parkinson’s disease. Journal of Neurophysiology 127(6), 1606-1621 (2022)
MINDS IN MOTION
Mental Health Journeys: Stories, Art, and Science
Berlin, January 15th 2026