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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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Electrophysiological measures as biomarkers of disease progression and outcome in psychoses
Prof. Giorgio Di LorenzoDone
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Real world AI in neurosciences for the benefit of doctors and patients
Stephane Doyen, PhDDone
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Principles and challenges of fMRI-based ‘brain reading’
Prof. John-Dylan HaynesDone
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Schizophrenia: A temporal disorder?
Dr. Annemarie WolffDone
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The Berger’s discovery revisited: How and why the brain’s dominant rhythm relates to cognition
Tzvetan Popov, PhDDone
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High-fidelity continuous monitoring of physiology anywhere with RDS
Louis Mayaud, PhDDone
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Phase-amplitude coupling in EEG as a Parkinsonian biomarker
Prof. Thomas R. KnöscheDone
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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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Translational endophenotypes (neuromarkers) in neurodevelopmental disorders: From mouse to man in CLN3 (Batten) disease
Prof. John J. FoxeDone
The Laboratory of Systems Neuroscience and Imaging in Psychiatry (SNIP-Lab) was established to bridge the research
fields of Systems Neuroscience and Translational Neuroimaging. We are convinced that a substantial improvement in differential
diagnoses and therapies in psychiatry will be achieved through a deeper understanding of neural systems and their functions. In
my lab, we are particularly engaged in the multimodal investigation of neural networks and their dynamic interactions, the effects of
pharmacological treatments and repetitive transcranial magnetic stimulation. Another research area is the development of potential
biomarkers from functional magnetic resonance imaging data, which can be integrated with phenotypic and genetic / epigenetic
information for improved classification and prediction of the response to treatments of psychiatric disorders.
Major depressive disorder and suicide are challenging global issues. Gaining insights into mechanistic brain network
modulations and related clinical benefits may change this alarming situation. In my talk, I will present the first clinical results of a protocol
that combines functional magnetic resonance imaging (fMRI) data and accelerated iTBS to modulate spatially selected sites for each
participant.