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

Parenting in the Digital Era: Quantitative and Qualitative Insights from Families of Children with Neurodevelopmental Disorders.

Children (Basel, Switzerland)·2026
Same author

Subtypes in developmental coordination disorder: what do we know so far? A systematic review.

European journal of pediatrics·2026
Same author

From hip to ankle in the sagittal plane: evidence for generalized proprioceptive deficits in children with unilateral and bilateral spastic cerebral palsy through 3D motion analysis.

Disability and rehabilitation·2026
Same author

Parental perspectives on the changes in their child's participation in physical activities after a highly intensive functional balance training for Developmental coordination disorder: A sequential multimethod qualitative study.

PloS one·2026
Same author

Measuring gross motor skills in African children using the PERF-FIT.

Communications medicine·2026
Same author

Advancing knowledge translation processes in motor rehabilitation for children with cerebral palsy and developmental coordination disorder: insights from a scoping review.

BMC health services research·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: May 10, 2025

fMRI Validation of fNIRS Measurements During a Naturalistic Task
10:36

fMRI Validation of fNIRS Measurements During a Naturalistic Task

Published on: June 15, 2015

20.7K

Time-Normalization Approach for fNIRS Data During Tasks with High Variability in Duration.

Anna Falivene1, Charlotte Johnson2,3, Katrijn Klingels3

  • 1Scientific Institute IRCCS E. Medea, 23842 Bosisio Parini, Italy.

Sensors (Basel, Switzerland)
|April 28, 2025
PubMed
Summary
This summary is machine-generated.

Functional near-infrared spectroscopy (fNIRS) data from motor tasks with varying trial durations can now be standardized. A new MATLAB function, TaskNorm, enables time-normalization for accurate hemodynamic response averaging and comparison.

Keywords:
MATLABdata time-normalizationfunctional near-infrared spectroscopyself-paced tasksspline interpolation

More Related Videos

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

942
Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
04:44

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

4.0K

Related Experiment Videos

Last Updated: May 10, 2025

fMRI Validation of fNIRS Measurements During a Naturalistic Task
10:36

fMRI Validation of fNIRS Measurements During a Naturalistic Task

Published on: June 15, 2015

20.7K
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

942
Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
04:44

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study

Published on: July 21, 2021

4.0K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Signal Processing

Background:

  • Functional near-infrared spectroscopy (fNIRS) is ideal for motor task brain activity measurement due to portability and motion tolerance.
  • Variable trial durations in fNIRS experiments hinder direct comparison and averaging of hemodynamic responses across repetitions.
  • Standardized data processing is crucial for reliable fNIRS analysis.

Purpose of the Study:

  • To introduce TaskNorm.m, a novel MATLAB function for time-normalizing fNIRS data from trials of differing lengths.
  • To enable accurate averaging and comparison of hemodynamic responses in fNIRS studies with variable trial durations.

Main Methods:

  • Development of a MATLAB function (TaskNorm.m) utilizing spline interpolation.
  • Rescaling the time-axis of fNIRS data to a fixed percentage of trial duration with a consistent number of samples.
  • Testing the function on eight children (typically developing and with developmental coordination disorder) performing three distinct motor tasks.

Main Results:

  • The TaskNorm function successfully normalizes time-series fNIRS data, allowing for effective averaging and comparison across repetitions.
  • The function's performance is robust and independent of the specific task or preceding data pre-processing steps.
  • Validated on a cohort including children with and without developmental coordination disorder.

Conclusions:

  • TaskNorm.m provides a reliable solution for standardizing fNIRS data analysis in motor tasks with variable trial durations.
  • The function integrates with the HomER3 package, contributing to the ongoing standardization of fNIRS data processing.
  • This tool facilitates more accurate and reproducible research in neuroimaging.