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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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From one-size-fits-all psychiatry to stratified psychiatry: Brain markers and heart-brain-coupling
Martijn Arns, PhDDone
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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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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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Neural markers of motor cognition: What do we know and what’s next?
Claudia Gianelli, 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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Clinical brain-computer interfaces: Challenges and new applications
Prof. Surjo Soekadar, MDDone
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Real world AI in neurosciences for the benefit of doctors and patients
Stephane Doyen, PhDDone
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Language mapping on patients with parenchymatous tumor in language eloquent areas
Jimmy Landry Zepa YotedjeDone
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Principles and challenges of fMRI-based ‘brain reading’
Prof. John-Dylan HaynesDone
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)