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Related Experiment Video

Updated: Oct 6, 2025

Large-scale Three-dimensional Imaging of Cellular Organization in the Mouse Neocortex
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Large-scale Three-dimensional Imaging of Cellular Organization in the Mouse Neocortex

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Directed functional and structural connectivity in a large-scale model for the mouse cortex.

Ronaldo V Nunes1, Marcelo B Reyes1, Jorge F Mejias2

  • 1Center for Mathematics, Computing, and Cognition, Universidade Federal do ABC, São Bernardo do Campo, Brazil.

Network Neuroscience (Cambridge, Mass.)
|January 13, 2022
PubMed
Summary
This summary is machine-generated.

Generalized partial directed coherence (GPDC) effectively estimates structural connectivity from electrophysiological data in mouse cortical models. This method shows promise for inferring brain networks even with limited recordings.

Keywords:
CausalityDirected functional connectivityGeneralized partial directed coherenceLarge-scale brain models

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Area of Science:

  • Systems Neuroscience
  • Computational Neuroscience
  • Neuroimaging

Background:

  • Inferring structural brain connectivity from electrophysiological data is a significant challenge.
  • Directed functional connectivity measures, like generalized partial directed coherence (GPDC), estimate causal influences but their link to structural connectivity remains unclear.

Purpose of the Study:

  • To evaluate the effectiveness of GPDC in estimating structural connectivity.
  • To assess GPDC's accuracy using a detailed computational model of the mouse cortex.

Main Methods:

  • Utilized a data-constrained computational model of 19 mouse cortical areas with spiking neurons.
  • Incorporated long-range projection weights from a tract-tracing cortical connectome.
  • Assessed GPDC's correlation with structural connectivity across simulations and under limited recording scenarios.

Main Results:

  • GPDC values demonstrated a reasonable estimation of structural connectivity, achieving an average Pearson correlation of 0.74 across simulations.
  • Even with data from only five areas, simulating typical electrophysiological recordings, the mean correlation remained above 0.6.

Conclusions:

  • GPDC can provide a reliable estimate of structural brain connectivity.
  • Empirical estimation of structural connectivity from functional connectivity is feasible, even without comprehensive whole-brain recordings.