Reliability of structural equation modeling of the motor cortex in resting state functional MRI

T. Kavallappa, S. Roys, A. Roy, J. Greenspan, R. Gullapalli, A. McMillan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Similar to functional MRI (fMRI), resting-state functional connectivity MRI (rsfcMRI) can be used to measure inter-regional similarities in BOLD fluctuations across the resting brain to yield important information about the connectivity of a functional network, e.g., the motor system. Effective connectivity analysis can be used to evaluate the causal relationships of these networks. In this study, we evaluate the consistency of structural equation modeling (SEM) of resting state motor network involving five regions: the primary motor cortices (LM1, RM1), the supplementary motor area (SMA), and the pre-motor areas (LPMA, RPMA). Overall, our results show that some directional connections within the cortical motor network are consistent, but are not reproducible across the entire study population, and depend on the chosen causal model.

Original languageEnglish (US)
Title of host publication26th Southern Biomedical Engineering Conference SBEC 2010
Pages481-484
Number of pages4
DOIs
StatePublished - Nov 8 2010
Externally publishedYes
Event26th Southern Biomedical Engineering Conference, SBEC 2010 - College Park, MD, United States
Duration: Apr 30 2010May 2 2010

Publication series

NameIFMBE Proceedings
Volume32 IFMBE
ISSN (Print)1680-0737

Other

Other26th Southern Biomedical Engineering Conference, SBEC 2010
CountryUnited States
CityCollege Park, MD
Period4/30/105/2/10

Keywords

  • Effective Connectivity
  • Motor Network
  • Path Coefficients
  • Structural Equation Modeling
  • fMRI

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

Fingerprint Dive into the research topics of 'Reliability of structural equation modeling of the motor cortex in resting state functional MRI'. Together they form a unique fingerprint.

Cite this