Graduate School of Systemic Neurosciences GSN-LMU
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Valentin Riedl

PD Dr. Valentin Riedl

GSN associate faculty

Responsibilities

Principle Investigator
Research group „Neuroenergetics of human brain function"

Contact

Neuroimaging Center (TUM-NIC)
Technische Universität München
Einsteinstrasse 1
81675 Munich, Germany


Website: http://goo.gl/DpL7qG

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 research group, 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. 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)

Keywords:

brain energy metabolism, human brain function, brain networks, functional connectivity (FC), effective connectivity (EC), PET/MR, TMS, MRS

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.

Funding:

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

Selected publications:

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

Riedl V, Bienkowska K, Strobel C, Tahmasian M, Grimmer T, Förster S, Friston KJ, Sorg C, Drzezga A. (2014) Local Activity Determines Functional Connectivity in the Resting Human Brain: A Simultaneous FDG-PET/fMRI Study. J Neurosci. 34(18):6260-6.

Sorg C, Manoliu A, Neufang S, Myers N, Peters H, Schwerthöffer D, Scherr M, Mühlau M, Zimmer C, Drzezga A, Förstl H, Bäuml J, Eichele T, Wohlschläger AM, Riedl V. (2013) Increased intrinsic brain activity in the striatum reflects symptom dimensions in schizophrenia. Schizophr Bull. 39(2):387-95.

Dovern A, Fink GR, Fromme AC, Wohlschläger AM, Weiss PH, Riedl V. (2012) Intrinsic network connectivity reflects consistency of synesthetic experiences. J Neurosci. 32(22):7614-21.

Biswal BB, Mennes M, Zuo XN, Gohel S, Kelly C, Smith SM, Beckmann CF, Adelstein JS, Buckner RL, Colcombe S, Dogonowski AM, Ernst M, Fair D, Hampson M, Hoptman MJ, Hyde JS, Kiviniemi VJ, Kötter R, Li SJ, Lin CP, Lowe MJ, Mackay C, Madden DJ, Madsen KH, Margulies DS, Mayberg HS, McMahon K, Monk CS, Mostofsky SH, Nagel BJ, Pekar JJ, Peltier SJ, Petersen SE, Riedl V, Rombouts SA, Rypma B, Schlaggar BL, Schmidt S, Seidler RD, Siegle GJ, Sorg C, Teng GJ, Veijola J, Villringer A, Walter M, Wang L, Weng XC, Whitfield-Gabrieli S, Williamson P, Windischberger C, Zang YF, Zhang HY, Castellanos FX, Milham MP. (2010) Toward discovery science of human brain function. Proc Natl Acad Sci USA. 107(10):4734-9.