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Effects of Hemodynamic Response Function Selection on Rat fMRI Statistical Analyses.

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  • 1Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan.

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Summary

Choosing the right hemodynamic response function (HRF) impacts rodent fMRI results. The boxcar-shaped HRF (BHRF) can underestimate signals in large blood-oxygen-level dependent (BOLD) responses, unlike canonical HRF (CHRF) or impulse HRF (IRF).

Keywords:
barrelblood-oxygen-level dependent (BOLD)boxcar functionelectric stimulationforepaw

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Area of Science:

  • Neuroimaging
  • Rodent models
  • Functional Magnetic Resonance Imaging (fMRI)

Background:

  • Hemodynamic response function (HRF) selection is crucial for accurate fMRI signal modeling.
  • Boxcar-shaped (BHRF) and canonical (CHRF) HRFs are increasingly used in rodent fMRI.
  • The impact of HRF choice on rodent fMRI outcomes requires further investigation.

Purpose of the Study:

  • To investigate the sensitivity of signal change and t-statistics to different HRFs (BHRF, CHRF, IRF) in rodent fMRI.
  • To analyze how HRF selection affects results across different stimulation tasks.
  • To determine if HRF choice influences rodent fMRI data analysis based on BOLD signal magnitude.

Main Methods:

  • Compared BHRF, CHRF, and impulse response function (IRF) for signal modeling.
  • Utilized fMRI data from rats undergoing whisker pad or forepaw electrical stimulation.
  • Analyzed signal change and t-statistic differences under large (whisker) and small (forepaw) BOLD responses.

Main Results:

  • Under large BOLD responses (whisker stimulation), BHRF significantly underestimated signal changes and t-statistics compared to CHRF and IRF.
  • CHRF and IRF yielded comparable t-statistics for both stimulation types.
  • For small BOLD responses (forepaw stimulation), HRF selection did not significantly alter t-statistics.

Conclusions:

  • HRF selection critically influences rodent fMRI data analysis, particularly when large BOLD signals are present.
  • BHRF may lead to underestimation of effects in rodent fMRI studies with substantial BOLD signal changes.
  • CHRF and IRF offer more robust t-statistic estimations, especially in scenarios with varying BOLD signal magnitudes.