RT Journal Article
SR Electronic
T1 Analysis methods for measuring fNIRS responses generated by a block-design paradigm
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2020.12.22.423886
DO 10.1101/2020.12.22.423886
A1 Robert Luke
A1 Eric Larson
A1 Maureen J Shader
A1 Hamish Innes-Brown
A1 Lindsey Van Yper
A1 Adrian KC Lee
A1 Paul F Sowman
A1 David McAlpine
YR 2020
UL http://biorxiv.org/content/early/2020/12/22/2020.12.22.423886.abstract
AB Significance fNIRS is an increasingly popular tool in auditory research, but the range of analysis procedures employed across studies complicates interpretation of data.Aim To assess the impact of different analysis procedures on the morphology, detection, and lateralization of auditory responses in fNIRS. Specifically, whether averaging or GLM-based analyses generate different experimental conclusions, when applied to a block-protocol design. The impact of parameter selection of GLMs on detecting auditory-evoked responses was also quantified.Approach 17 listeners were exposed to three commonly employed auditory stimuli: noise, speech, and silence. A block design was employed, comprising sounds of 5-s duration, and 10–20 s silent intervals.Results Both analysis procedures generated similar response morphologies and amplitude estimates, and both also indicated responses to speech to be significantly greater than to noise and silence. Neither approach indicated a significant effect of brain hemisphere on responses to speech. Methods to correct for systemic hemodynamic responses using short channels improved detection at the individual level.Conclusions Consistent with theoretical considerations, simulations, and other experimental domains, GLM and averaging analyses generate the same group-level experimental conclusions. We release this dataset publicly for use in future development and optimization of algorithms.Competing Interest StatementThe authors have declared no competing interest.