Excitatory–inhibitory balance within EEG microstates and resting-state fMRI networks: assessed via simultaneous trimodal PET–MR–EEG imaging

Abstract The symbiosis of neuronal activities and glucose energy metabolism is reflected in the generation functional magnetic resonance imaging (fMRI) electroencephalography (EEG) signals. However, their association with balance between excitation inhibition (E/I-B), which closely related to glutamate ?-aminobutyric acid (GABA) receptor availability (RA) GABA A mGluR5, remains unexplored. This research investigates these associations during resting state (RS) condition using simultaneously recorded PET/MR/EEG (trimodal) data. trimodal data were acquired from three studies different radio-tracers such as, [ 11 C]ABP688 (ABP) ( N = 9), C]Flumazenil (FMZ) 10) 2-[ 18 F]fluoro-2-deoxy- d -glucose (FDG) targeted study receptors respectively. Glucose neuroreceptor binding (non-displaceable potential (BP ND )) mGluR5 found be significantly higher linked within core resting-state networks (RSNs). generators EEG microstates fMRI measures most tightly associated BP relative metabolism, emphasising a predominance inhibitory processes RSNs at rest. Changes neuroreceptors leading an altered coupling may render vulnerable psychiatric conditions. paradigm employed here will likely help identify precise neurobiological mechanisms behind alterations connectivity oscillations, potentially benefitting individualised healthcare treatment measures.