Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Applications of IR Spectroscopy: Overview

Applications of IR Spectroscopy: Overview

The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...

Raman Spectroscopy Instrumentation: Overview

Raman Spectroscopy Instrumentation: Overview

A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...

Infrared (IR) Spectroscopy: Overview

Infrared (IR) Spectroscopy: Overview

When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...

You might also read

Related Articles

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

Sort by

Same author

Testing and tracking in the UK: A dynamic causal modelling study.

Wellcome open research·2026

Same author

Growth in early infancy drives optimal brain functional connectivity which predicts cognitive flexibility in later childhood.

eLife·2026

Same author

Effect of sleep stage on patterns of fNIRS hemodynamic response to auditory paradigms in 1-month-old Gambian and UK infants.

Neurophotonics·2026

Same author

Investigating the effect of channel pruning on functional near-infrared spectroscopy data collected from children aged 5 to 24 months.

Neurophotonics·2026

Same author

Cross-paradigm fNIRS brain activity in 1-month-old infants across The Gambia and the United Kingdom.

Neurophotonics·2026

Same author

Early metabolic reprogramming and carbonic anhydrase IX-mediated extracellular acidification drive radiotherapy-induced glioblastoma cell dedifferentiation.

Acta neuropathologica communications·2025

Search research articles

Related Experiment Video

Updated: Jul 8, 2026

Using MazeSuite and Functional Near Infrared Spectroscopy to Study Learning in Spatial Navigation

Using MazeSuite and Functional Near Infrared Spectroscopy to Study Learning in Spatial Navigation

Published on: October 8, 2011

Functional optical signal analysis: a software tool for near-infrared spectroscopy data processing incorporating

Peck H Koh¹, Daniel E Glaser, Guillaume Flandin

¹University College London, Department of Medical Physics and Bioengineering, Biomedical Optics Research Laboratory, Gower Street, London WC1E 6BT United Kingdom. pkoha.medphys.ucl.ac.uk

Journal of Biomedical Optics

|January 1, 2008

Summary

Optical topography (OT) uses near-infrared spectroscopy (NIRS) for noninvasive brain activity mapping. A new tool, functional optical signal analysis (fOSA), enhances OT analysis within statistical parametric mapping (SPM) for robust functional neuroimaging.

More Related Videos

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

Published on: August 5, 2022

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019

Related Experiment Videos

Last Updated: Jul 8, 2026

Using MazeSuite and Functional Near Infrared Spectroscopy to Study Learning in Spatial Navigation

Using MazeSuite and Functional Near Infrared Spectroscopy to Study Learning in Spatial Navigation

Published on: October 8, 2011

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

Published on: August 5, 2022

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019

Area of Science:

Neuroscience
Biomedical Engineering
Medical Imaging

Background:

Optical topography (OT) noninvasively maps brain activity using near-infrared spectroscopy (NIRS).
OT offers advantages over fMRI, including simpler hemodynamic response measurement and distinguishing oxy- and deoxy-hemoglobin changes.

Purpose of the Study:

To introduce functional optical signal analysis (fOSA), a novel software tool for analyzing spatially resolved optical signals.
To provide statistical inference capabilities for brain activity distribution in space, time, and experimental conditions.

Main Methods:

fOSA maps NIRS-derived optical signals into statistical parametric mapping (SPM) software.
The tool functions as an SPM toolbox specifically for NIRS in an OT configuration.
Software validity was assessed using synthetic data and demonstrated with experimental data.

Main Results:

The fOSA software enables statistical inference on functional optical topography data.
The tool integrates NIRS signal analysis within a widely used neuroimaging analysis framework (SPM).
Demonstrated applicability of fOSA with real experimental data.

Conclusions:

fOSA provides a robust method for analyzing NIRS-based optical topography data.
The software facilitates advanced statistical analysis of brain activity measured with OT.
fOSA enhances the utility of NIRS for functional neuroimaging research.