Neurodegenerative damage reduces firing coherence in a continuous attractor model of grid cells
Yuduo Zhi, Daniel L. Cox

TL;DR
This study models how neurodegenerative damage in the dMEC affects grid cell firing coherence, revealing a transition from regular hexagonal patterns to incoherent and striped patterns, with potential observable effects in fMRI imaging.
Contribution
It introduces a damage parameter into a continuous attractor model of grid cells, analyzing how damage impacts firing pattern coherence and structure.
Findings
Damage induces incoherent grid firing patterns
Large damage area can restore normal grid firing
Damage alters Fourier transform peaks of grid patterns
Abstract
Grid cells in the dorsolateral band of the medial entorhinal cortex(dMEC) display strikingly regular periodic firing patterns on a lattice of positions in 2-D space. This helps animals to encode relative spatial location without reference to external cues. The dMEC is damaged in the early stages of Alzheimer's Disease, which affects navigation ability of a disease victim, reducing the synaptic density of neurons in the network. Within an established 2-dimensional continuous attractor neural network model of grid cell activity, we introduce damage parameterized by radius and by the strength of the synaptic output for neurons in the damaged region. The proportionality of the grid field flow on the dMEX to the velocity of the model organism is maintained, but when we examine the coherence of the grid cell firing field in the form of the Fourier transform (Bragg peaks) of the grid lattice,…
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