Groups and projects
Movement disorders and sensorimotor plasticity
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Translational Neurotechnology
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We study higher-order cognitive functions at the level of individual neurons and their networks. Intelligent, goal-directed behavior is produced by the interaction of populations of neurons in the cognitive brain centers such as the prefrontal cortex, the parietal cortex and the basal ganglia. We develop and use technologies for recording from individual neurons directly in human subjects and combine these with a variety of state-of-the-art methods in animal models (fluorescent neuroimaging, large-scale extracellular recordings, optogenetics, and computational modelling).
More information at simonjacob.de
Brain structure and function in schizophrenia and obsessive-compulsive disorder
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Neurooncology and functional neuronavigation and -monitoring
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Morphometry in neurological disorders
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Publications
Current projects:
- MRI-based correlates of MS severity and progression and their interaction with CSF (cerebrospinal fluid) markers ()
- artificial intelligence for processing and analyzing spinal cord MRI in MS ()
- quantitative susceptibility mapping in MS ()
- scaling T1-weighted images to investigate normal-appearing white matter in MS ()
- Deep-learning based lesion segmentation of intracerebral hemorrhages ()
- Predictors and implications of myocardial injury in intracerebral hemorrhage ()
Recent projects:
- prognostic value of white-matter lesion volume changes ()
- Distant effects of white matter lesions ()
- MRI markers of cognitive impairment ()
- Differential effects of disease-modifying therapies on white matter lesions and brain atrophy ()
- Morphological underpinnings of the most established atrophy marker in MS, the percentage brain volume change ()
Cooperations:
- Artificial intelligence for an integrative approach to analyze the brain and spinal cord in multiple sclerosis (AIMS) (Quebec/Bavarian cooperation with Julien Cohen-Adad, Polytechnique Montreal, Douglas Arnold, McGill University, and Jan Kirschke, Neuroradiology TUM, funded by Bavarian State Ministry of Science and the Arts as well as Fonds de recherche du Québec)
- Predicting individual disease activity in Multiple Sclerosis: Making the informative wealth of white matter lesion imaging clinically accessible (DFG-funded cooperation with Bjoern Menze and Benedikt Wiestler)
- Computational imaging biomarkers of multiple sclerosis (NIH-funded cooperation with Koen van Leemput)
- Myelin imaging in MS (intern cooperation with the group of Christine Preibisch)
- Gene-MRI: Genetic determinants of the course of Multiple Sclerosis as characterized by MRI (intern cooperation with Christiane Gasperi and extern cooperation with centers of the consortia IMSGC, Multiple MS, and others)
- EEG-based and structural network analysis in MS (intern cooperation with Katharina Bauermeister from the PainLabMunich of Markus Ploner)
PainLabMunich
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Our research group investigates how the human brain generates pain. Understanding these processes provides basic insights into how the brain translates objective sensory information into a subjective experience. Beyond, such insights are crucial for harnessing these processes for the treatment of pain. Moreover, changes of these processes figure prominently in the susceptibility, development and maintenance of long-lasting pain in chronic pain disorders. Insights into the brain mechanisms of chronic pain can therefore help to develop biomarkers and novel treatment strategies for chronic pain. To achieve these goals, we use electroencephalography (EEG) and cutting-edge analysis techniques to investigate the role of neuronal oscillations, or brain rhythms, in the cerebral processing of pain. Moreover, we use non-invasive brain stimulation (transcranial alternating current stimulation, tACS) and neurofeedback to modulate neuronal oscillations and alleviate pain.
Please check our website PainLabMunich.de for more information.
MR physics
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Projects:
- Implementation and evaluation of novel MR imaging methods as well as support and quality assurance for neuroimaging projects within TUM-NIC (Stephan Kaczmarz, Ronja Berg, Gabriel Hoffmann)
- Sequence development for quantitative structural and metabolic MRI (Ronja Berg, Stephan Kaczmarz in collaboration with Aurore Menegaux, Irene Vavasour (Djavad Mowafahian Centre for brain health, Vancouver, Kanda), Tobias Leutfritz (MPI für Kognitions- und Neurowissenschaften, Leipzig))
- Quantitative structural and metabolic MRI in healthy and preterm born adults and patients with multiple sclerosis (Ronja Berg in collaboration with Aurore Menegaux, Christian Sorg, Mark Mühlau, Markus Ploner)
- Sequence development for calibrated functional MRI (Stephan Kaczmarz, Gabriel Hoffmann in collaboration with Fahmeed Hyder (Yale University), Jan Petr (Helmholtz Zentrum Dresden-Rossendorf), Matthias van Osch (Leiden University))
- Impact of reduced cerebrovascular reserve on brain structure and function in patients with high-grade carotid artery stenosis – a follow-up study (Jens Göttler, Stephan Kaczmarz, Gabriel Hoffmann, Lena Schmitzer, Jan Kufer in collaboration with Benno Ikenberg (Neurologische Klinik und Poliklinik,TUM)
- Mechanisms of cerebral oxygen supply in healthy aging and pathological conditions (Stephan Kaczmarz, Jan Kufer in collaboration with Fahmeed Hyder (Yale University), Kim Mouridsen, Mikkel Bo Hansen (Aarhus University), Alexander Seiler (Universität Frankfurt))
- Towards calibrated resting-state functional MRI: A feasibility study combining advanced hemodynamic-oxygenation imaging with dynamic modelling and individualized intrinsic brain network analysis (Mario Archila-Meléndez, Stephan Kaczmarz, Gabriel Hoffmann in collaboration with Christian Sorg, Rachel Nuttal)
- Clinical ASL applications for non-invasive, vessel-selective MRA and perfusion imaging (Stephan Kaczmarz, Nico Sollmann in collaboration with Makoto Obara, Kim van de Ven (Philips Healthcare))
- Automated detection of perfusion territory border zones in cerebrovascular diseases with machine learning (Stephan Kaczmarz, Lena Schmitzer in collaboration with Carolin Pirkl)
Neuroenergetics of the human brain
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The human brain consumes around 20% of the energy produced by the body. While neuroscience research has immensely progressed in understanding the micro- and macroscopic architecture of the brain, the reason for its high energy demands is still a mystery. In my research group, we study how energy metabolism drives neural signaling and whether it is altered in neuropsychiatric disorders. At TUM, I have established simultaneous measurements of glucose, oxygen and neurotransmitter metabolism in the human brain combining quantitative PET, calibrated fMRI and edited MRS on an integrated PET/MR-scanner. We also use TMS to non-invasively modulate human brain activity.
Please check my webpage for current projects and open positions via: valentinriedl.de
Neuropsychiatry and Neuroimaging Lab
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The Neuropsychiatry and Neuroimaging Lab studies structure and physiology of the brain in healthy controls and patients with neurodevelopmental disorders, namely schizophrenia and preterm birth, via multimodal brain imaging. In particular, we focus on brain systems defined by coordinated blood and vascular properties, such as intrinsic brain networks, and how blood, vascular, para-vascular, and neuronal-metabolic properties link among each other, for example what are drivers of a directed flow in the para-vascular glymphatic system. The imaging methods used are mainly structural and functional MRI, extended for perfusion- and diffusion-based MRI as well as different PET techniques.
Analysis of functional connectivity dynamics from fMRI
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Topics:
- Analysis of dynamic interaction patterns between remote brain areas on the system level
- Concurrent EEG and fMRI studies: cross-frequency coupling and multimodal signal integration
- Analysis of the relevance of intrinsic brain processes on evoked brain activity and behaviour
- Dynamic functional MRI analysis of data derived in psychiatric diseases