Graduate School of Systemic Neurosciences GSN-LMU

Links and Functions

Breadcrumb Navigation

Valentin Riedl

Prof. Dr. Valentin Riedl

GSN associate faculty, GSN Alumnus SS 2012


Head of multiscale neuroimaging (FAU) and neuroenergetics (TUM) labs


TUM Neuroimaging Center (TUM-NIC)
Neuroenergetics Lab
Technische Universität München
Einsteinstrasse 1
D-81675 Munich


Further Information

Research focus:

The brain consumes 20% of the human body’s energy budget. Neuronal communication among highly connected brain regions is the main driver of the brain’s energy demands. While we know much about the macroscopic organization of the human brain in specialized regions and brain networks, the energy budget of human brain function is still unclear. Moreover, brain metabolism is heavily disturbed in several neuropsychiatric disorders but the relationship to brain network communication is also unknown. In my two research groups, we measure energy consumption of the human brain and relate these to common measures of brain organization. We simultaneously acquire energy metabolism and brain connectivity measures on an integrated PET/MR (Siemens Biograph mMR) scanner at TUM, and quantify metabolism with ultra-high field MRI (7T) at FAU. We measure inhibitory and excitatory neurotransmitter levels using 1H-Magnetic Resonance Spectroscopy (MRS) and modulate brain function using non-invasive, stereotactic transcranial magnetic stimulation (TMS).

Methods: hybrid PET/MRI (Positron Emission Tomography, Magnetic Resonance Imaging), Magnetic Resonance Spectroscopy (MRS), Transcranial Magnetic Stimulation (TMS)

FAU, Erlangen: ultra-high field MRI (7T) TUM, Munich: simultaneous PET/MRI

Keywords: neuroenergetics, brain metabolism, brain imaging, brain networks, neuromodulators, ultra-high field MRI (7T), hybrid PET/MRI, TMS, MRS

Current GSN students: Samira Epp, Antonia Bose, André Hechler, Roman Belenya, Laura Fraticelli

Research projects:

- Develop new imaging approaches to integrate brain profiles of energy metabolism and network connectivity.
- Study the energy metabolism of brain networks during memory consolidation and modulate this process with non-invasive brain stimulation.
- Link brain energetics with nutrition and body metabolism.
- Uncover deficient metabolic brain profiles in patients with neuropsychiatric disorders.


ERC starting grant 759659, Deutsche Forschungsgesellschaft (DFG) RI2519, Kommission für klinische Forschung (KKF) 8762754, Alzheimer Forschungsinitiative (AFI) 088660

Selected publications:

Castrillon G, Sollmann N, Kurcyus K, Razi A, Krieg SM, Riedl V The physiological effects of noninvasive brain stimulation fundamentally differ across the human cortex. Science Advances. 2020 Jan 31. doi: 10.1126/sciadv.aay2739

Scherr M, Utz L, Tahmasian M, Pasquini L, Grothe MJ, Rauschecker JP, Grimmer T, Drzezga A, Sorg C, Riedl V. Effective connectivity in the default mode network is distinctively disrupted in Alzheimer’s disease – a simultaneous resting-state FDG-PET/fMRI study. Hum Brain Mapp 2019 Jan 30; doi: 10.1002/hbm.2451

Kurcyus K, Annac E, Hanning NM, Harris AD, Oeltzschner G, Edden R, Riedl V. Opposite dynamics of GABA and glutamate levels in the occipital cortex during visual processing. J Neurosci. 2018 Nov 14;38(46):9967-9976; doi: 10.1523/JNEUROSCI.1214-18.2018

Riedl V, Utz L, Castrillón G, Grimmer T, Rauschecker JP, Ploner M, Friston KJ, Drzezga A, Sorg C. Metabolic connectivity mapping reveals effective connectivity in the resting human brain. Proc Natl Acad Sci U S A. 2016 Jan 12;113(2):428-33. doi: 10.1073/pnas.1513752113

Riedl V, Bienkowska K, Strobel C, Tahmasian M, Grimmer T, Förster S, Friston KJ, Sorg C, Drzezga A. Local activity determines functional connectivity in the resting human brain: a simultaneous FDG-PET/fMRI study. J Neurosci. 2014 Apr 30;34(18):6260-6. doi: 10.1523/JNEUROSCI.0492-14.2014

Sorg C, Riedl V, Mühlau M, Calhoun VD, Eichele T, Läer L, Drzezga A, Förstl H, Kurz A, Zimmer C, Wohlschläger AM. Selective changes of resting-state networks in individuals at risk for Alzheimer's disease. Proc Natl Acad Sci U S A. 2007 Nov 20;104(47):18760-5. doi: 10.1073/pnas.0708803104