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Related Experiment Video

Updated: Feb 25, 2026

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Published on: August 11, 2016

Mapping effective connectivity within cortical networks with diffuse optical tomography.

Mahlega S Hassanpour^1,2, Adam T Eggebrecht², Jonathan E Peelle³

¹Washington University in St. Louis, Department of Physics, St. Louis, Missouri, United States.

|July 27, 2017

Summary

This summary is machine-generated.

High-density diffuse optical tomography (HD-DOT) effectively maps brain network connectivity during speech tasks. This neuroimaging approach enhances understanding of the cortical speech network and its modulations by speech complexity.

Keywords:

diffuse optical tomography effective connectivity psychophysiological interaction speech comprehension

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Last Updated: Feb 25, 2026

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Area of Science:

Neuroscience
Cognitive Science
Biomedical Engineering

Background:

Understanding cortical network interactions is crucial for brain function and neurological disorder management.
Functional magnetic resonance imaging (fMRI) has limitations in naturalistic environments and with metal implants.
High-density diffuse optical tomography (HD-DOT) offers a viable alternative for neuroimaging.

Purpose of the Study:

To investigate effective connectivity within the cortical speech network using HD-DOT.
To assess how speech intelligibility and syntactic complexity modulate functional connections.
To extend the generalized psychophysiological interaction (PPI) analysis framework for HD-DOT data.

Main Methods:

Utilized event-related HD-DOT recordings of cortical oxyhemoglobin activity during auditory sentence processing.
Applied generalized psychophysiological interaction (PPI) methods to analyze functional connectivity.
Evaluated different approaches for selecting regions of interest and modeling interactions.

Main Results:

Subject-based region selection minimally impacted group-level connectivity maps.
Incorporating an interaction model based on estimated neural activity significantly strengthened effective connectivity.
HD-DOT combined with PPI methods proved effective for studying task-related functional connectivity modulations.

Conclusions:

HD-DOT is a valuable tool for noninvasively studying the brain's functional connectivity.
The extended PPI framework is suitable for analyzing HD-DOT data in auditory processing tasks.
This approach advances the study of neural network dynamics in response to cognitive demands.