Exploring effective multiplicity in multichannel functional near-infrared spectroscopy using eigenvalues of correlation matrices

Minako Uga; Ippeita Dan; Haruka Dan; Yasushi Kyutoku; Y. H. Taguchi; Eiju Watanabe

doi:10.1117/1.NPh.2.1.015002

4 February 2015 Exploring effective multiplicity in multichannel functional near-infrared spectroscopy using eigenvalues of correlation matrices

Minako Uga, Ippeita Dan, Haruka Dan, Yasushi Kyutoku, Y. H. Taguchi, Eiju Watanabe

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Funded by: Japan Society for Promotion of Science, Grant-in-Aid for Scientific Research from the Japan Society for Promotion of Science, Scientific Research from the Japan Society for Promotion of Science

Neurophotonics, Vol. 2, Issue 1, 015002 (February 2015). https://doi.org/10.1117/1.NPh.2.1.015002

Abstract

Recent advances in multichannel functional near-infrared spectroscopy (fNIRS) allow wide coverage of cortical areas while entailing the necessity to control family-wise errors (FWEs) due to increased multiplicity. Conventionally, the Bonferroni method has been used to control FWE. While Type I errors (false positives) can be strictly controlled, the application of a large number of channel settings may inflate the chance of Type II errors (false negatives). The Bonferroni-based methods are especially stringent in controlling Type I errors of the most activated channel with the smallest p value. To maintain a balance between Types I and II errors, effective multiplicity (M_eff) derived from the eigenvalues of correlation matrices is a method that has been introduced in genetic studies. Thus, we explored its feasibility in multichannel fNIRS studies. Applying the M_eff method to three kinds of experimental data with different activation profiles, we performed resampling simulations and found that M_eff was controlled at 10 to 15 in a 44-channel setting. Consequently, the number of significantly activated channels remained almost constant regardless of the number of measured channels. We demonstrated that the M_eff approach can be an effective alternative to Bonferroni-based methods for multichannel fNIRS studies.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Minako Uga, Ippeita Dan, Haruka Dan, Yasushi Kyutoku, Y. H. Taguchi, and Eiju Watanabe "Exploring effective multiplicity in multichannel functional near-infrared spectroscopy using eigenvalues of correlation matrices," Neurophotonics 2(1), 015002 (4 February 2015). https://doi.org/10.1117/1.NPh.2.1.015002

Published: 4 February 2015

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