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Reliability correction for functional connectivity: Theory and implementation.

Sophia Mueller1,2,3, Danhong Wang1, Michael D Fox1,4,5

  • 1Department of Radiology, Athinoula a. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts.

Human Brain Mapping
|October 24, 2015
PubMed
Summary
This summary is machine-generated.

Functional connectivity MRI (fcMRI) network estimates are biased by regional signal reliability. This study introduces reliability-based attenuation correction to improve default network analysis, revealing typically underestimated medial temporal lobe contributions.

Keywords:
attenuation correctiondefault networkfunctional connectivity MRImedial temporal lobereliability

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Area of Science:

  • Neuroimaging
  • Network Neuroscience
  • Brain Connectivity Analysis

Background:

  • Functional connectivity MRI (fcMRI) is used to estimate brain network properties.
  • Regional variations in fMRI signal reliability introduce systematic biases, such as correlation attenuation, in network estimations.
  • These biases can lead to inaccurate interpretations of brain network structures and functions.

Purpose of the Study:

  • To compute the spatial distribution of fcMRI reliability.
  • To demonstrate how pre-estimated reliability maps can correct for correlation attenuation.
  • To investigate the impact of reliability heterogeneity on default network properties and propose a correction method.

Main Methods:

  • Computed spatial distribution of fcMRI reliability using longitudinal datasets.
  • Applied reliability-based attenuation correction to estimate default network properties.
  • Validated the use of within-session test-retest reliability maps as surrogates for multi-session mapping.
  • Assessed the effect of scan length on reliability and its spatial distribution.
  • Analyzed tertiary data to explore factors influencing reliability distribution.

Main Results:

  • Reliability was significantly lower in the medial temporal lobe and higher in the posterior medial cortex of the default network.
  • Attenuation correction revealed that the medial temporal lobe's contribution to the default network is typically underestimated.
  • Within-session test-retest reliability maps effectively surrogate multi-session reliability mapping.
  • Connectivity estimate reliability increases with scan length, but spatial reliability distribution remains stable even with short scans.
  • Reliability distribution is influenced by age, neuropsychiatric status, and scanner type.

Conclusions:

  • Reliability-based attenuation correction is an easily implemented strategy to mitigate fMRI signal nonuniformity.
  • This method improves the accuracy of brain network estimations, particularly for regions with varying reliability.
  • The findings highlight the importance of considering and correcting for reliability variations when studying brain networks, especially in group comparisons.