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Spatiotemporal connectome framework

Research Method · All research methods
Evidence · 3 claims (3 for) · 1 study (1 associational), q3 · 0 of 1 report an effect size · 3 claims rest on one study

Description

The spatiotemporal connectome is an analytical framework that characterizes resting-state functional connectivity with a structural prior: neural activity is chunked into time windows, connectivity matrices (506 × 506 regions) constrained by structural connectivity are translated into connected components (CCs), and CCs are classified by the eight functional systems of Yeo's atlas plus the cerebellar system. From these, two group-level metrics are derived: "system diversity (SD) and spatiotemporal diversity (STD)", where SD informs about "integration and segregation" and STD about "temporal stability". The article uses these metrics to compare Montessori- and traditionally schooled students at global and functional-system scales.

Accounts

  • The spatiotemporal connectome framework characterizes brain dynamics via system diversity (integration) and spatiotemporal diversity (stability): The spatiotemporal connectome is an analytical framework that characterizes resting-state functional connectivity with a structural prior: neural activity is chunked into time windows, connectivity matrices (506 × 506 regions) constrained by structural connectivity are translated into connected components (CCs), and CCs are classified by the eight functional systems of Yeo's atlas plus the cerebellar system. From these, two group-level metrics are derived: "system diversity (SD) and spatiotemporal diversity (STD)", where SD informs about "integration and segregation" and STD about "temporal stability". The article uses these metrics to compare Montessori- and traditionally schooled students at global and functional-system scales. (Zanchi et al. (2024))

Claims

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Key Sources

  • Zanchi, P., Mullier, E., Fornari, E., Guerrier de Dumast, P., Alemán-Gómez, Y., Ledoux, J.-B., Beaty, R., Hagmann, P., & Denervaud, S. (2024). Differences in spatiotemporal brain network dynamics of Montessori and traditionally schooled students. npj Science of Learning, 9, 45. https://doi.org/10.1038/s41539-024-00254-6
Page metadata
Field Value
type research-method
id spatiotemporal-connectome-framework
title Spatiotemporal connectome framework
description The spatiotemporal connectome is an analytical framework that characterizes resting-state functional connectivity with a structural prior: neural activity is chunked into time windows, connectivity matrices (506 × 506 regions) constrained by structural connectivity are translated into connected comp
status review
generated by process:settle-candidates on 2026-10-27
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