Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Loudness changes as a function of the audiovisual scene.

Scientific reports·2026
Same author

Subcortical encoding of harmonicity and frequency in autism: Insights from frequency-following responses.

The Journal of the Acoustical Society of America·2026
Same author

Group-level test-retest reliability assessment using systemic physiology augmented functional near-infrared spectroscopy during a passive-listening task.

Neurophotonics·2026
Same author

Dynamic functional connectivity following cochlear implantation: Predicting speech outcomes and exploring brain network dynamics.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Publisher Correction: fNIRS reproducibility varies with data quality, analysis pipelines, and researcher experience.

Communications biology·2025
Same author

Cycling on the Freeway: The perilous state of open-source neuroscience software.

Imaging neuroscience (Cambridge, Mass.)·2025

Related Experiment Video

Updated: Nov 4, 2025

Qualitative and Comparative Cortical Activity Data Analyses from a Functional Near-Infrared Spectroscopy Experiment Applying Block Design
06:18

Qualitative and Comparative Cortical Activity Data Analyses from a Functional Near-Infrared Spectroscopy Experiment Applying Block Design

Published on: December 3, 2020

4.0K

Analysis methods for measuring passive auditory fNIRS responses generated by a block-design paradigm.

Robert Luke1,2, Eric Larson3, Maureen J Shader2,4

  • 1Macquarie University, Macquarie University Hearing & Department of Linguistics, Australian Hearing Hub, Sydney, New South Wales, Australia.

Neurophotonics
|May 26, 2021
PubMed
Summary

Functional near-infrared spectroscopy (fNIRS) analysis methods, averaging and generalized linear models (GLMs), yield similar results for auditory responses. This consistency aids in interpreting fNIRS data in auditory research.

Keywords:
analysis methodsauditory responsesblock-design paradigmpassive taskspeech

More Related Videos

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.8K
Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels
08:19

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

Published on: October 20, 2023

1.3K

Related Experiment Videos

Last Updated: Nov 4, 2025

Qualitative and Comparative Cortical Activity Data Analyses from a Functional Near-Infrared Spectroscopy Experiment Applying Block Design
06:18

Qualitative and Comparative Cortical Activity Data Analyses from a Functional Near-Infrared Spectroscopy Experiment Applying Block Design

Published on: December 3, 2020

4.0K
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.8K
Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels
08:19

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

Published on: October 20, 2023

1.3K

Area of Science:

  • Neuroscience
  • Auditory Neuroscience
  • Biomedical Engineering

Background:

  • Functional near-infrared spectroscopy (fNIRS) is increasingly utilized in auditory research.
  • Varied analysis methodologies in fNIRS studies can complicate data interpretation.
  • Standardizing analysis is crucial for reliable fNIRS findings in auditory neuroscience.

Purpose of the Study:

  • To evaluate the influence of different analysis techniques on fNIRS auditory response detection and lateralization.
  • To compare generalized linear model (GLM)-based analysis with averaging methods for block-design fNIRS data.
  • To quantify the effect of GLM parameter selection on detecting auditory-evoked responses.

Main Methods:

  • 17 participants were presented with auditory stimuli: noise, speech, and silence.
  • A block design paradigm was used, with 5-second stimuli and 10-20 second silent intervals.
  • Analysis involved comparing averaging and GLM-based approaches, including short-channel systemic artifact correction.

Main Results:

  • Both averaging and GLM analyses produced comparable response morphologies and amplitude estimates.
  • Speech stimuli elicited significantly stronger responses than noise or silence, irrespective of analysis method.
  • Neither method revealed significant hemispheric differences in speech response, but short-channel correction improved individual detection.

Conclusions:

  • Generalized linear model (GLM) and averaging analyses yield congruent group-level conclusions in fNIRS auditory research.
  • The findings support the theoretical consistency between these analytical approaches.
  • The study provides a publicly available dataset to facilitate future algorithm development and optimization.