Electrophysiological markers of grid cell population activity across species
San Diego, CA : Society for Neuroscience
InNeuroscience 2018: The 48th Annual Meeting of the Society for Neuroscience, pp. 694.06/III7
Neuroscience 2018: The 48th Annual Meeting of the Society for Neuroscience (San Diego, CA, 3-7 november 2018)
Article in monograph or in proceedings
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PI Group Statistical Imaging Neuroscience
PI Group Neuronal Oscillations
PI Group Memory and Space
PI Group Neurobiology of Language
Neuroscience 2018: The 48th Annual Meeting of the Society for Neuroscience
Subject110 000 Neurocognition of Language; 120 Memory and Space; 220 Statistical Imaging Neuroscience
Grid cells in the rodent and human entorhinal cortex are a critical component of the brain’s spatial coding system. In virtual-reality (VR) navigation tasks in humans, the fMRI BOLD signal in the entorhinal cortex exhibits hexadirectional modulations that may reflect population activity of grid cells. However, it remains unknown whether and how grid cell population activity specifically gives rise to this hexadirectional hemodynamic fMRI signal. Here we address this issue in two steps. First, we employed a VR navigation experiment using magnetoencephalography (MEG) in human participants and found hexadirectional signal modulations in the high-gamma band, source-localised to the medial temporal lobe. Next, we conducted analyses to test the relationship between grid cell activity and local field potential (LFP) recordings in freely moving rats. We found hexadirectional modulations in the same frequency band as in the human MEG navigation experiment. The orientation of this hexadirectional LFP modulation was aligned to the orientation of the hexagonally symmetric firing patterns of grid cells. Together, these findings describe new ways to measure grid cell population activity and their non-invasive source localisation using MEG. Crucially, we link grid cell activity to measures of population activity in rats and humans, thereby elucidating the physiological basis of non-invasive grid cell population measures previously revealed with fMRI. Since grid cell function is affected early in Alzheimer ’s disease, understanding how to measure their activity with non-invasive methods is of high clinical relevance.
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