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White matter information flow mapping from diffusion MRI and EEG.

Abstract：

:The human brain can be described as a network of specialized and spatially distributed regions. The activity of individual regions can be estimated using electroencephalography and the structure of the network can be measured using diffusion magnetic resonance imaging. However, the communication between the different cortical regions occurring through the white matter, coined information flow, cannot be observed by either modalities independently. Here, we present a new method to infer information flow in the white matter of the brain from joint diffusion MRI and EEG measurements. This is made possible by the millisecond resolution of EEG which makes the transfer of information from one region to another observable. A subject specific Bayesian network is built which captures the possible interactions between brain regions at different times. This network encodes the connections between brain regions detected using diffusion MRI tractography derived white matter bundles and their associated delays. By injecting the EEG measurements as evidence into this model, we are able to estimate the directed dynamical functional connectivity whose delays are supported by the diffusion MRI derived structural connectivity. We present our results in the form of information flow diagrams that trace transient communication between cortical regions over a functional data window. The performance of our algorithm under different noise levels is assessed using receiver operating characteristic curves on simulated data. In addition, using the well-characterized visual motor network as grounds to test our model, we present the information flow obtained during a reaching task following left or right visual stimuli. These promising results present the transfer of information from the eyes to the primary motor cortex. The information flow obtained using our technique can also be projected back to the anatomy and animated to produce videos of the information path through the white matter, opening a new window into multi-modal dynamic brain connectivity.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Deslauriers-Gauthier S,Lina JM,Butler R,Whittingstall K,Gilbert G,Bernier PM,Deriche R,Descoteaux M

doi

10.1016/j.neuroimage.2019.116017

subject

Has Abstract

pub_date

2019-11-01 00:00:00

pages

116017

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(19)30598-1

journal_volume

201

pub_type

杂志文章

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White matter information flow mapping from diffusion MRI and EEG.