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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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Multi-center validation of dry vs. gel-based EEG cap performance
Prof. Patrique FiedlerDone
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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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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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Own data, not hardware
Cecilia Mazzetti, PhDDone
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Advances in closed-loop neuromodulation
David HaslacherDone
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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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Phase-amplitude coupling in EEG as a Parkinsonian biomarker
Prof. Thomas R. KnöscheDone
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Welcome Address
Martijn SchreuderDone
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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.