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Using multiband multi-echo imaging to improve the robustness and repeatability of co-activation pattern analysis for

Alexander D Cohen1, Catie Chang2, Yang Wang1

  • 1Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226, United States.

Neuroimage
|September 7, 2021
PubMed
Summary

The multiband multi-echo (MBME) fMRI sequence enhances the detection of dynamic co-activation patterns (CAPs), showing increased robustness and reproducibility compared to standard multiband sequences.

Keywords:
Co-activation patternsDynamicFunctional connectivityMulti-echoMultibandResting-state functional MRI

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Area of Science:

  • Neuroimaging
  • Functional Connectivity Analysis
  • Resting-State fMRI

Background:

  • Functional connectivity in resting-state fMRI is dynamic, with patterns emerging from brief co-activation periods.
  • Dynamic co-activation patterns (CAPs) analysis quantifies these transient neural synchronizations at the individual timepoint level.

Purpose of the Study:

  • To evaluate the utility of an advanced multiband multi-echo (MBME) fMRI sequence for capturing dynamic CAPs.
  • To compare MBME sequence performance against a standard multiband (MB) single-echo sequence using CAPs analysis.

Main Methods:

  • Resting-state fMRI data acquired with MBME and MB sequences from 28 healthy controls.
  • Advanced denoising: multi-echo ICA (ME-ICA) for MBME, ICA-AROMA for MB.
  • CAPs analysis using TbCAPs toolbox, seed-based and seed-free approaches, k-means clustering.
  • Comparison of CAP metrics: activation, spatial correlation, MSE, within-dataset variance, between-session correlation.

Main Results:

  • MBME data demonstrated heightened co-activation across most CAPs.
  • Higher spatial correlation and lower mean squared error (MSE) between timepoints and centroid CAPs for MBME.
  • Reduced within-dataset variance and increased between-session spatial correlation for MBME data.
  • MBME sequence yielded more robust and reproducible CAPs.

Conclusions:

  • The advanced MBME fMRI sequence shows significant promise for accurately measuring dynamic co-activation patterns.
  • MBME enhances the robustness and reproducibility of CAPs analysis in resting-state fMRI.
  • This sequence offers a valuable tool for investigating dynamic functional brain connectivity.