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Updated: May 17, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Visualizing Effective Connectivity in the Human Brain.

Alexander S Atalay¹, Matteo Fecchio¹, Brian L Edlow^1,2

¹Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Biorxiv : the Preprint Server for Biology

|March 31, 2025

Summary

This summary is machine-generated.

We developed STREAM-4D, a tool linking transcranial magnetic stimulation electroencephalography (TMS-EEG) with diffusion MRI. This method reveals how brain activity from TMS relates to white matter structure, enhancing our understanding of brain connectivity.

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Last Updated: May 17, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Area of Science:

Neuroscience
Brain Imaging
Computational Neuroscience

Background:

Understanding effective brain connectivity is crucial for neuroscience.
Current methods often lack the combined temporal and spatial resolution to link brain activity to structural pathways.

Purpose of the Study:

To introduce STREAM-4D, a novel tool integrating TMS-EEG and diffusion MRI.
To demonstrate STREAM-4D's capability in mapping brain activity to structural connectivity.

Main Methods:

Developed STREAM-4D, a tool combining high-temporal resolution TMS-EEG with high-spatial resolution diffusion MRI.
Integrated electrophysiologic source estimation from TMS-evoked potentials (TEPs) with diffusion MRI tractography.
Applied STREAM-4D to a neurotypical subject, stimulating premotor, parietal, and occipital cortex.

Main Results:

STREAM-4D identified extensive structural connections, including thalamocortical and cortico-cortical pathways.
Activity-weighted structural connectivity varied across stimulation sites.
The ipsilateral thalamus and putamen were consistently highly connected nodes.

Conclusions:

STREAM-4D effectively links TMS-evoked brain activity to underlying white matter architecture.
This tool advances mechanistic understanding of effective brain connectivity.
STREAM-4D offers new avenues for investigating brain network dynamics.