Effect of prewhitening in resting-state functional near-infrared spectroscopy data

Borja Blanco; Monika Molnar; César Caballero-Gaudes

doi:10.1117/1.NPh.5.4.040401

24 October 2018 Effect of prewhitening in resting-state functional near-infrared spectroscopy data

Borja Blanco, Monika Molnar, César Caballero-Gaudes

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Neurophotonics, Vol. 5, Issue 4, 040401 (October 2018). https://doi.org/10.1117/1.NPh.5.4.040401

Abstract

Near-infrared spectroscopy (NIRS) offers the potential to characterize resting-state functional connectivity (RSFC) in populations that are not easily assessed otherwise, such as young infants. In addition to the advantages of NIRS, one should also consider that the RS-NIRS signal requires specific data preprocessing and analysis. In particular, the RS-NIRS signal shows a colored frequency spectrum, which can be observed as temporal autocorrelation, thereby introducing spurious correlations. To address this issue, prewhitening of the RS-NIRS signal has been recently proposed as a necessary step to remove the signal temporal autocorrelation and therefore reduce false-discovery rates. However, the impact of this step on the analysis of experimental RS-NIRS data has not been thoroughly assessed prior to the present study. Here, the results of a standard preprocessing pipeline in a RS-NIRS dataset acquired in infants are compared with the results after incorporating two different prewhitening algorithms. Our results with a standard preprocessing replicated previous studies. Prewhitening altered RSFC patterns and disrupted the antiphase relationship between oxyhemoglobin and deoxyhemoglobin. We conclude that a better understanding of the effect of prewhitening on RS-NIRS data is still needed before directly considering its incorporation to the standard preprocessing pipeline.

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Borja Blanco, Monika Molnar, and César Caballero-Gaudes "Effect of prewhitening in resting-state functional near-infrared spectroscopy data," Neurophotonics 5(4), 040401 (24 October 2018). https://doi.org/10.1117/1.NPh.5.4.040401

Received: 28 April 2018; Accepted: 24 September 2018; Published: 24 October 2018

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