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Brain-wide functional connectivity artifactually inflates throughout fMRI scans: a problem and solution.

Cole Korponay1,2, Amy C Janes3, Blaise B Frederick1,2

  • 1Department of Psychiatry, Harvard University Medical School, 25 Shattuck St, Boston, MA, 02115, USA.

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|September 25, 2023
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Summary
This summary is machine-generated.

Functional connectivity in fMRI scans artifactually inflates over time due to systemic low-frequency oscillations. A new denoising method, RIPTiDe, effectively reduces this widespread artifact, improving brain connectivity analysis.

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Area of Science:

  • Neuroimaging
  • Neuroscience
  • Physiology

Background:

  • Functional connectivity analysis using fMRI BOLD signal is crucial for understanding brain activity.
  • Existing methods struggle to remove a pervasive artifact causing inflated connectivity over scan time.

Approach:

  • Investigated a time-dependent increase in systemic low-frequency oscillations (sLFOs) driving artifactual functional connectivity inflation.
  • Developed and validated Regressor Interpolation at Progressive Time Delays (RIPTiDe) as a specialized denoising technique.
  • Tested RIPTiDe across multiple datasets and conditions (resting-state, task, sleep).

Key Points:

  • Functional connectivity inflates by over 70% in 15 minutes, with spatially heterogeneous rates.
  • Standard denoising (e.g., ICA) fails to remove this sLFO-driven artifact.
  • RIPTiDe significantly attenuates connectivity inflation and corrects spatial/temporal distortions.

Conclusions:

  • Identified a novel physiological artifact distorting human fMRI brain connectivity.
  • RIPTiDe offers a robust solution to mitigate sLFO-driven inflation, enhancing fMRI data reliability.
  • This finding has broad implications for interpreting fMRI studies and preventing false positives.