| Literature DB >> 33462192 |
Cláudia Régio Brambilla1,2,3, Tanja Veselinović2, Ravichandran Rajkumar1,2,3, Joshua Bierbrier1,4, Christine Wyss1,5, Shukti Ramkiran1,2, Linda Orth1,2, Markus Lang6, Elena Rota Kops1, Jörg Mauler1, Jürgen Scheins1, Bernd Neumaier6, Johannes Ermert6, Hans Herzog1, Karl-Josef Langen1,3,7, Ferdinand Christoph Binkofski1,3,8, Christoph Lerche1, N Jon Shah1,3,8,9, Irene Neuner10,11,12.
Abstract
The symbiosis of neuronal activities and glucose energy metabolism is reflected in the generation of functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) signals. However, their association with the balance between neuronal excitation and inhibition (E/I-B), which is closely related to the activities of glutamate and γ-aminobutyric acid (GABA) and the receptor availability (RA) of GABAA and mGluR5, remains unexplored. This research investigates these associations during the resting state (RS) condition using simultaneously recorded PET/MR/EEG (trimodal) data. The trimodal data were acquired from three studies using different radio-tracers such as, [11C]ABP688 (ABP) (N = 9), [11C]Flumazenil (FMZ) (N = 10) and 2-[18F]fluoro-2-deoxy-D-glucose (FDG) (N = 10) targeted to study the mGluR5, GABAA receptors and glucose metabolism respectively. Glucose metabolism and neuroreceptor binding availability (non-displaceable binding potential (BPND)) of GABAA and mGluR5 were found to be significantly higher and closely linked within core resting-state networks (RSNs). The neuronal generators of EEG microstates and the fMRI measures were most tightly associated with the BPND of GABAA relative to mGluR5 BPND and the glucose metabolism, emphasising a predominance of inhibitory processes within in the core RSNs at rest. Changes in the neuroreceptors leading to an altered coupling with glucose metabolism may render the RSNs vulnerable to psychiatric conditions. The paradigm employed here will likely help identify the precise neurobiological mechanisms behind these alterations in fMRI functional connectivity and EEG oscillations, potentially benefitting individualised healthcare treatment measures.Entities:
Year: 2021 PMID: 33462192 PMCID: PMC7813876 DOI: 10.1038/s41398-020-01160-2
Source DB: PubMed Journal: Transl Psychiatry ISSN: 2158-3188 Impact factor: 6.222