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Characterizing Spatial Associations Between GluCEST MRI and Neurotransmitter Receptor Density in the Human Cortex.

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Glutamate-weighted Chemical Exchange Saturation Transfer (GluCEST) imaging shows spatial correlation with N-methyl-D-aspartate (NMDA) and gamma-aminobutyric acid A (GABAA) receptor densities. This finding supports GluCEST as a tool for studying glutamatergic neurotransmission and receptor dynamics in vivo.

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Area of Science:

  • Neuroimaging
  • Neuroscience
  • Biophysics

Background:

  • Glutamate-weighted Chemical Exchange Saturation Transfer (GluCEST) is a valuable tool for measuring in vivo glutamate levels with high spatial resolution.
  • While validated against proton magnetic resonance spectroscopy (1H-MRS), its relationship with local glutamatergic neurotransmitter receptor expression is not well understood.
  • Publicly available positron emission tomography (PET) data offer a novel avenue to explore the convergence between GluCEST and receptor density maps.

Purpose of the Study:

  • To investigate the spatial correspondence between GluCEST signal and PET-derived cortical receptor densities for N-methyl-D-aspartate (NMDA), metabotropic glutamate receptor 5 (mGluR5), and gamma-aminobutyric acid A (GABAA) receptors.
  • To assess the utility of GluCEST as a non-invasive probe for receptor-mediated glutamatergic neurotransmission.
  • To explore the influence of local cytoarchitecture and gene expression on GluCEST-receptor dynamics.

Main Methods:

  • A cohort of 86 participants (including healthy controls, individuals with sub-threshold psychosis symptoms, and first-episode psychosis) underwent 7T GluCEST imaging.
  • PET-based receptor density data from the Neuromaps database were utilized.
  • Data were processed and analyzed using Pearson correlations and spin tests to assess spatial correspondence between GluCEST signal and receptor densities (NMDA, mGluR5, GABAA) within the Cammoun 500 atlas.

Main Results:

  • GluCEST signal showed a significant positive spatial correlation with the regional distribution of NMDA receptors (r=0.23, pspin=0.039) and GABAA receptors (r=0.35, pspin=0.004).
  • No significant correlation was found between GluCEST and mGluR5 receptor density (r=0.09, pspin > 0.05).
  • Exploratory analyses revealed variable GluCEST-receptor association patterns across different cortical regions and correspondence with gene expression patterns.

Conclusions:

  • GluCEST signal is spatially associated with the cortical distribution of NMDA and GABAA receptors in a transdiagnostic cohort.
  • The findings suggest that GluCEST can reflect glutamatergic receptor densities, with NMDA receptor correlation indicating higher glutamate levels in receptor-dense areas.
  • The coupling with GABAA may reflect excitation-inhibition balance, and regional variations highlight the role of cytoarchitecture in Glu-receptor dynamics.