Literature DB >> 33462192

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

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


  43 in total

1.  Millisecond by millisecond, year by year: normative EEG microstates and developmental stages.

Authors:  Thomas Koenig; Leslie Prichep; Dietrich Lehmann; Pedro Valdes Sosa; Elisabeth Braeker; Horst Kleinlogel; Robert Isenhart; E Roy John
Journal:  Neuroimage       Date:  2002-05       Impact factor: 6.556

2.  Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details.

Authors:  R D Pascual-Marqui
Journal:  Methods Find Exp Clin Pharmacol       Date:  2002

Review 3.  Past, present and future of topographic mapping.

Authors:  D Lehmann
Journal:  Brain Topogr       Date:  1990       Impact factor: 3.020

Review 4.  What we can do and what we cannot do with fMRI.

Authors:  Nikos K Logothetis
Journal:  Nature       Date:  2008-06-12       Impact factor: 49.962

5.  Positron emission tomography studies of neurotransmitter systems.

Authors:  G V Sawle; D J Brooks
Journal:  J Neurol       Date:  1990-12       Impact factor: 4.849

Review 6.  Associations of regional GABA and glutamate with intrinsic and extrinsic neural activity in humans—a review of multimodal imaging studies.

Authors:  Niall W Duncan; Christine Wiebking; Georg Northoff
Journal:  Neurosci Biobehav Rev       Date:  2014-07-24       Impact factor: 8.989

Review 7.  Microstates in resting-state EEG: current status and future directions.

Authors:  Arjun Khanna; Alvaro Pascual-Leone; Christoph M Michel; Faranak Farzan
Journal:  Neurosci Biobehav Rev       Date:  2014-12-17       Impact factor: 8.989

Review 8.  Cortical plasticity, excitatory-inhibitory balance, and sensory perception.

Authors:  Ioana Carcea; Robert C Froemke
Journal:  Prog Brain Res       Date:  2013       Impact factor: 2.453

9.  Multimodal Fingerprints of Resting State Networks as assessed by Simultaneous Trimodal MR-PET-EEG Imaging.

Authors:  N J Shah; J Arrubla; R Rajkumar; E Farrher; J Mauler; E Rota Kops; L Tellmann; J Scheins; F Boers; J Dammers; P Sripad; C Lerche; K J Langen; H Herzog; I Neuner
Journal:  Sci Rep       Date:  2017-07-25       Impact factor: 4.379

10.  Comparison of EEG microstates with resting state fMRI and FDG-PET measures in the default mode network via simultaneously recorded trimodal (PET/MR/EEG) data.

Authors:  Ravichandran Rajkumar; Ezequiel Farrher; Jörg Mauler; Praveen Sripad; Cláudia Régio Brambilla; Elena Rota Kops; Jürgen Scheins; Jürgen Dammers; Christoph Lerche; Karl-Josef Langen; Hans Herzog; Bharat Biswal; N Jon Shah; Irene Neuner
Journal:  Hum Brain Mapp       Date:  2018-10-27       Impact factor: 5.038

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  4 in total

Review 1.  Contribution of animal models toward understanding resting state functional connectivity.

Authors:  Patricia Pais-Roldán; Celine Mateo; Wen-Ju Pan; Ben Acland; David Kleinfeld; Lawrence H Snyder; Xin Yu; Shella Keilholz
Journal:  Neuroimage       Date:  2021-10-10       Impact factor: 7.400

Review 2.  Application of positron emission tomography in psychiatry-methodological developments and future directions.

Authors:  Simon Cervenka; Andreas Frick; Robert Bodén; Mark Lubberink
Journal:  Transl Psychiatry       Date:  2022-06-14       Impact factor: 7.989

3.  Inferring excitation-inhibition dynamics using a maximum entropy model unifying brain structure and function.

Authors:  Igor Fortel; Mitchell Butler; Laura E Korthauer; Liang Zhan; Olusola Ajilore; Anastasios Sidiropoulos; Yichao Wu; Ira Driscoll; Dan Schonfeld; Alex Leow
Journal:  Netw Neurosci       Date:  2022-06-01

4.  Characterization of the Functional Dynamics in the Neonatal Brain during REM and NREM Sleep States by means of Microstate Analysis.

Authors:  Mohammad Khazaei; Khadijeh Raeisi; Pierpaolo Croce; Gabriella Tamburro; Anton Tokariev; Sampsa Vanhatalo; Filippo Zappasodi; Silvia Comani
Journal:  Brain Topogr       Date:  2021-07-13       Impact factor: 3.020

  4 in total

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