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Brain-wide functional connectivity of face patch neurons during rest.

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Summary

This study reveals how individual neuron activity links to brain-wide functional connectivity using fMRI. Neuron spiking selectively couples with specific brain regions, influenced by anatomy and neuromodulation.

Keywords:
brain networksface patchesresting statesimultaneous fMRI and neurophysiologysingle units

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Area of Science:

  • Neuroscience
  • Systems Neuroscience
  • Computational Neuroscience

Background:

  • Brain network architecture is typically assessed using resting-state functional magnetic resonance imaging (fMRI).
  • Functional connectivity during rest is thought to arise from collective neural activity.
  • The contribution of individual neurons to large-scale brain connectivity remains unclear.

Purpose of the Study:

  • To develop and apply a method for simultaneously measuring single-neuron spiking activity and whole-brain fMRI signals during rest.
  • To investigate the relationship between individual neuronal spiking and large-scale brain functional connectivity.
  • To determine how anatomical projections and neuromodulatory pathways influence these single-neuron to brain-wide couplings.

Main Methods:

  • Concurrent recording of single-unit spiking activity from macaque cortical face patches and whole-brain fMRI during resting states.
  • Analysis of correlations between individual neuron firing patterns and fMRI signal fluctuations across various brain regions.
  • Comparison of single-unit connectivity maps with those derived from fMRI seeds and local field potentials.

Main Results:

  • Individual neurons showed selective, bilateral coupling with fMRI signals in specific cortical and subcortical areas.
  • Coupling patterns partially reflected known anatomical projections.
  • Some neurons exhibited inverse correlations with subcortical structures like the lateral geniculate nucleus and brainstem neuromodulatory centers.
  • Single-unit connectivity maps differed from fMRI-derived maps, especially in subcortical regions.

Conclusions:

  • Single neuron spiking activity is selectively coupled to discrete brain regions, not uniformly across the brain.
  • This coupling is influenced by both direct anatomical connections and indirect neuromodulatory pathways.
  • The findings provide a novel link between cellular-level activity and macroscale brain network dynamics.