Visualizing functional pathways in the human brain using correlation tensors and magnetic resonance imaging

Zhaohua Ding, Ran Xu, Stephen K. Bailey, Tung Lin Wu, Victoria L. Morgan, Laurie E. Cutting, Adam W. Anderson, John C. Gore

Research output: Contribution to journalArticle

Abstract

Functional magnetic resonance imaging usually detects changes in blood oxygenation level dependent (BOLD) signals from T2*-sensitive acquisitions, and is most effective in detecting activity in brain cortex which is irrigated by rich vasculature to meet high metabolic demands. We recently demonstrated that MRI signals from T2*-sensitive acquisitions in a resting state exhibit structure-specific temporal correlations along white matter tracts. In this report we validate our preliminary findings and introduce spatio-temporal functional correlation tensors to characterize the directional preferences of temporal correlations in MRI signals acquired at rest. The results bear a remarkable similarity to data obtained by diffusion tensor imaging but without any diffusion-encoding gradients. Just as in gray matter, temporal correlations in resting state signals may reflect intrinsic synchronizations of neural activity in white matter. Here we demonstrate that functional correlation tensors are able to visualize long range white matter tracts as well as short range sub-cortical fibers imaged at rest, and that evoked functional activities alter these structures and enhance the visualization of relevant neural circuitry. Furthermore, we explore the biophysical mechanisms underlying these phenomena by comparing pulse sequences, which suggest that white matter signal variations are consistent with hemodynamic (BOLD) changes associated with neural activity. These results suggest new ways to evaluate MRI signal changes within white matter.

Original languageEnglish (US)
Pages (from-to)8-17
Number of pages10
JournalMagnetic Resonance Imaging
Volume34
Issue number1
DOIs
StatePublished - Jan 1 2016
Externally publishedYes

Fingerprint

Magnetic resonance
Magnetic resonance imaging
Tensors
Brain
Oxygenation
Magnetic Resonance Imaging
Imaging techniques
Blood
Diffusion tensor imaging
Hemodynamics
Synchronization
Visualization
Diffusion Tensor Imaging
Fibers
White Matter

Keywords

  • Functional connectivity
  • Functional correlation tensor
  • Functional magnetic resonance imaging
  • Functional pathways

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging
  • Biomedical Engineering

Cite this

Ding, Z., Xu, R., Bailey, S. K., Wu, T. L., Morgan, V. L., Cutting, L. E., ... Gore, J. C. (2016). Visualizing functional pathways in the human brain using correlation tensors and magnetic resonance imaging. Magnetic Resonance Imaging, 34(1), 8-17. https://doi.org/10.1016/j.mri.2015.10.003

Visualizing functional pathways in the human brain using correlation tensors and magnetic resonance imaging. / Ding, Zhaohua; Xu, Ran; Bailey, Stephen K.; Wu, Tung Lin; Morgan, Victoria L.; Cutting, Laurie E.; Anderson, Adam W.; Gore, John C.

In: Magnetic Resonance Imaging, Vol. 34, No. 1, 01.01.2016, p. 8-17.

Research output: Contribution to journalArticle

Ding, Z, Xu, R, Bailey, SK, Wu, TL, Morgan, VL, Cutting, LE, Anderson, AW & Gore, JC 2016, 'Visualizing functional pathways in the human brain using correlation tensors and magnetic resonance imaging', Magnetic Resonance Imaging, vol. 34, no. 1, pp. 8-17. https://doi.org/10.1016/j.mri.2015.10.003
Ding, Zhaohua ; Xu, Ran ; Bailey, Stephen K. ; Wu, Tung Lin ; Morgan, Victoria L. ; Cutting, Laurie E. ; Anderson, Adam W. ; Gore, John C. / Visualizing functional pathways in the human brain using correlation tensors and magnetic resonance imaging. In: Magnetic Resonance Imaging. 2016 ; Vol. 34, No. 1. pp. 8-17.
@article{0dd4782d68e049658ba4376c4074fc1e,
title = "Visualizing functional pathways in the human brain using correlation tensors and magnetic resonance imaging",
abstract = "Functional magnetic resonance imaging usually detects changes in blood oxygenation level dependent (BOLD) signals from T2*-sensitive acquisitions, and is most effective in detecting activity in brain cortex which is irrigated by rich vasculature to meet high metabolic demands. We recently demonstrated that MRI signals from T2*-sensitive acquisitions in a resting state exhibit structure-specific temporal correlations along white matter tracts. In this report we validate our preliminary findings and introduce spatio-temporal functional correlation tensors to characterize the directional preferences of temporal correlations in MRI signals acquired at rest. The results bear a remarkable similarity to data obtained by diffusion tensor imaging but without any diffusion-encoding gradients. Just as in gray matter, temporal correlations in resting state signals may reflect intrinsic synchronizations of neural activity in white matter. Here we demonstrate that functional correlation tensors are able to visualize long range white matter tracts as well as short range sub-cortical fibers imaged at rest, and that evoked functional activities alter these structures and enhance the visualization of relevant neural circuitry. Furthermore, we explore the biophysical mechanisms underlying these phenomena by comparing pulse sequences, which suggest that white matter signal variations are consistent with hemodynamic (BOLD) changes associated with neural activity. These results suggest new ways to evaluate MRI signal changes within white matter.",
keywords = "Functional connectivity, Functional correlation tensor, Functional magnetic resonance imaging, Functional pathways",
author = "Zhaohua Ding and Ran Xu and Bailey, {Stephen K.} and Wu, {Tung Lin} and Morgan, {Victoria L.} and Cutting, {Laurie E.} and Anderson, {Adam W.} and Gore, {John C.}",
year = "2016",
month = "1",
day = "1",
doi = "10.1016/j.mri.2015.10.003",
language = "English (US)",
volume = "34",
pages = "8--17",
journal = "Magnetic Resonance Imaging",
issn = "0730-725X",
publisher = "Elsevier Inc.",
number = "1",

}

TY - JOUR

T1 - Visualizing functional pathways in the human brain using correlation tensors and magnetic resonance imaging

AU - Ding, Zhaohua

AU - Xu, Ran

AU - Bailey, Stephen K.

AU - Wu, Tung Lin

AU - Morgan, Victoria L.

AU - Cutting, Laurie E.

AU - Anderson, Adam W.

AU - Gore, John C.

PY - 2016/1/1

Y1 - 2016/1/1

N2 - Functional magnetic resonance imaging usually detects changes in blood oxygenation level dependent (BOLD) signals from T2*-sensitive acquisitions, and is most effective in detecting activity in brain cortex which is irrigated by rich vasculature to meet high metabolic demands. We recently demonstrated that MRI signals from T2*-sensitive acquisitions in a resting state exhibit structure-specific temporal correlations along white matter tracts. In this report we validate our preliminary findings and introduce spatio-temporal functional correlation tensors to characterize the directional preferences of temporal correlations in MRI signals acquired at rest. The results bear a remarkable similarity to data obtained by diffusion tensor imaging but without any diffusion-encoding gradients. Just as in gray matter, temporal correlations in resting state signals may reflect intrinsic synchronizations of neural activity in white matter. Here we demonstrate that functional correlation tensors are able to visualize long range white matter tracts as well as short range sub-cortical fibers imaged at rest, and that evoked functional activities alter these structures and enhance the visualization of relevant neural circuitry. Furthermore, we explore the biophysical mechanisms underlying these phenomena by comparing pulse sequences, which suggest that white matter signal variations are consistent with hemodynamic (BOLD) changes associated with neural activity. These results suggest new ways to evaluate MRI signal changes within white matter.

AB - Functional magnetic resonance imaging usually detects changes in blood oxygenation level dependent (BOLD) signals from T2*-sensitive acquisitions, and is most effective in detecting activity in brain cortex which is irrigated by rich vasculature to meet high metabolic demands. We recently demonstrated that MRI signals from T2*-sensitive acquisitions in a resting state exhibit structure-specific temporal correlations along white matter tracts. In this report we validate our preliminary findings and introduce spatio-temporal functional correlation tensors to characterize the directional preferences of temporal correlations in MRI signals acquired at rest. The results bear a remarkable similarity to data obtained by diffusion tensor imaging but without any diffusion-encoding gradients. Just as in gray matter, temporal correlations in resting state signals may reflect intrinsic synchronizations of neural activity in white matter. Here we demonstrate that functional correlation tensors are able to visualize long range white matter tracts as well as short range sub-cortical fibers imaged at rest, and that evoked functional activities alter these structures and enhance the visualization of relevant neural circuitry. Furthermore, we explore the biophysical mechanisms underlying these phenomena by comparing pulse sequences, which suggest that white matter signal variations are consistent with hemodynamic (BOLD) changes associated with neural activity. These results suggest new ways to evaluate MRI signal changes within white matter.

KW - Functional connectivity

KW - Functional correlation tensor

KW - Functional magnetic resonance imaging

KW - Functional pathways

UR - http://www.scopus.com/inward/record.url?scp=84952769719&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84952769719&partnerID=8YFLogxK

U2 - 10.1016/j.mri.2015.10.003

DO - 10.1016/j.mri.2015.10.003

M3 - Article

VL - 34

SP - 8

EP - 17

JO - Magnetic Resonance Imaging

JF - Magnetic Resonance Imaging

SN - 0730-725X

IS - 1

ER -