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Predicting Working Memory Capacity Based on Glutamatergic Concentration and its Modulation of Functional Connectivity.

George Zacharopoulos | Roi Kadosh Cohen
Neuroscience | 2021

Working memory (WM) capacity, the amount of information one can hold online in mind, has a central role in cognition. Previous electrophysiological and imaging studies revealed the pivotal role of persistent activity within parietal and frontal regions as the neural foundations underpinning WM capacity. The best candidate molecules determining persistent activity are the brain's major excitatory and inhibitory neurotransmitters, glutamate and gamma-aminobutyric acid (GABA), respectively. However, our knowledge of these neurophysiological determinants in forming WM capacity is still poor. Using magnetic resonance spectroscopy (MRS), we examined the contribution of glutamate and GABA within the left intraparietal sulcus (IPS) and the left inferior/middle frontal gyrus (FG) in tracking WM capacity. A positive association was found between glutamate within the left IPS and WM capacity. By utilising resting-state functional MRI, we identified a negative association between parieto-cingulate connectivity and WM capacity. Individual variation in parieto-cingulate connectivity was explained by glutamatergic concentration in the IPS. Moreover, we found that parieto-cingulate connectivity mediated the relationship between interparietal sulcus glutamate and WM capacity. This set of findings reveals a novel mechanistic insight by which glutamatergic concentration within the IPS shapes WM capacity via parieto-cingulate connectivity.

Pubmed ID: 33212221

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Associated grants

  • Agency: European Research Council, International
    Id: 338065
  • Agency: Wellcome Trust, United Kingdom
    Id: 203139/Z/16/Z

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This is a list of tools and resources that we have found mentioned in this publication.


MRspa (tool)

RRID:SCR_017292

Software package to post process MR spectroscopy data. Magnetic Resonance signal processing and analysis software. Runs under Matlab.

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CONN (software resource)

RRID:SCR_009550

Matlab based cross platform software package for computation, display, and analysis of functional connectivity in fMRI (fcMRI). Used for resting state data (rsfMRI) as well as task related designs. Covers pipeline from raw fMRI data to hypothesis testing.

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