Frontiers in Neuroscience (Apr 2019)

Effects of Hemodynamic Response Function Selection on Rat fMRI Statistical Analyses

  • Shin-Lei Peng,
  • Chun-Ming Chen,
  • Chen-You Huang,
  • Cheng-Ting Shih,
  • Chiun-Wei Huang,
  • Shao-Chieh Chiu,
  • Wu-Chung Shen,
  • Wu-Chung Shen

DOI
https://doi.org/10.3389/fnins.2019.00400
Journal volume & issue
Vol. 13

Abstract

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The selection of the appropriate hemodynamic response function (HRF) for signal modeling in functional magnetic resonance imaging (fMRI) is important. Although the use of the boxcar-shaped hemodynamic response function (BHRF) and canonical hemodynamic response (CHRF) has gained increasing popularity in rodent fMRI studies, whether the selected HRF affects the results of rodent fMRI has not been fully elucidated. Here we investigated the signal change and t-statistic sensitivities of BHRF, CHRF, and impulse response function (IRF). The effect of HRF selection on different tasks was analyzed by using data collected from two groups of rats receiving either 3 mA whisker pad or 3 mA forepaw electrical stimulations (n = 10 for each group). Under whisker pad stimulation with large blood-oxygen-level dependent (BOLD) signal change (4.31 ± 0.42%), BHRF significantly underestimated signal changes (P < 0.001) and t-statistics (P < 0.001) compared with CHRF or IRF. CHRF and IRF did not provide significantly different t-statistics (P > 0.05). Under forepaw stimulation with small BOLD signal change (1.71 ± 0.34%), different HRFs provided insignificantly different t-statistics (P > 0.05). Therefore, the selected HRF can influence data analysis in rodent fMRI experiments with large BOLD responses but not in those with small BOLD responses.

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