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Schizophrenia: A temporal disorder?
Dr. Annemarie WolffDone
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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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Translational endophenotypes (neuromarkers) in neurodevelopmental disorders: From mouse to man in CLN3 (Batten) disease
Prof. John J. FoxeDone
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Two clinical applications of hdEEG: Kinesthetic illusion and consciousness in sleep
Jan Hubený, Ing.Done
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Clinical brain-computer interfaces: Challenges and new applications
Prof. Surjo Soekadar, MDDone
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Phase-amplitude coupling in EEG as a Parkinsonian biomarker
Prof. Thomas R. KnöscheDone
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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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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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From one-size-fits-all psychiatry to stratified psychiatry: Brain markers and heart-brain-coupling
Martijn Arns, PhDDone
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Principles and challenges of fMRI-based ‘brain reading’
Prof. John-Dylan HaynesDone
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.