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Related Experiment Video

Updated: Feb 2, 2026

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Mapping multiple principles of parietal-frontal cortical organization using functional connectivity.

Suhas Vijayakumar¹, Jerome Sallet², Lennart Verhagen²

¹Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, 6525HR, Nijmegen, The Netherlands. s.vijayakumar@donders.ru.nl.

Brain Structure & Function

|November 25, 2018

Summary

Resting state functional connectivity reveals complex organization in the macaque brain. This method advances comparative neuroscience by mapping distinct parietal-frontal pathways and organizational principles.

Keywords:

Comparative Connectional families Connectivity fingerprints Cortical organization Macaque Parcellation Parietal–frontal

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Area of Science:

Neuroscience
Computational Neuroscience
Comparative Neuroscience

Background:

Resting state functional connectivity (RSFC) offers a non-invasive method for cortical mapping.
RSFC-based cortical maps closely resemble those from invasive histological techniques.
The potential of RSFC for studying connectional architecture and comparative neuroscience is underexplored.

Purpose of the Study:

To extend RSFC and data-driven clustering for investigating brain organizational principles.
To explore the organizational principles of the macaque parietal-frontal system.

Main Methods:

Utilized resting state functional connectivity (RSFC) analysis.
Employed data-driven clustering methods.
Focused on the macaque parietal-frontal system.

Main Results:

Identified multiple, overlapping principles of brain organization.
Revealed a dissociation between dorsomedial and dorsolateral pathways.
Demonstrated separate parietal-premotor and parietal-frontal pathways.

Conclusions:

RSFC is suitable for understanding complex brain organizational principles.
This approach is valuable for large-scale comparative neuroscience research.
The findings provide insights into the functional architecture of the primate brain.