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

Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

You might also read

Related Articles

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

Sort by
Same author

Brain activity is not only for thinking.

Current opinion in behavioral sciences·2026
Same author

Brain resting state functional connectivity changes with aerobic exercise, and mindfulness: A narrative review.

Sports medicine and health science·2026
Same author

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

eLife·2026
Same author

Task-evoked deactivations: dissociation between BOLD fMRI and FDG.

bioRxiv : the preprint server for biology·2026
Same author

Kinetic Modeling of a Novel Putative Sphingosine-1-Phosphate Receptor 1 (S1PR1) Radiotracer [<sup>18</sup>F]TZ82112 in Nonhuman Primates.

Journal of neurochemistry·2026
Same author

Commonality and Variability in Functional Networks in Children Under 5 Years Old.

bioRxiv : the preprint server for biology·2026
Same journal

Segmentation of the parasagittal dura mater on multi-center 3D-FLAIR MRI.

NeuroImage·2026
Same journal

Spatial frequency channels implement a mental ruler in spatial vision.

NeuroImage·2026
Same journal

Exploring the Link Between Intravoxel Incoherent Motion Measured Brain Diffusivity During Wakefulness and Sleep Macrostructure in the Elderly.

NeuroImage·2026
Same journal

Closed-loop adaptation of transcranial magnetic stimulation intensity with electroencephalography feedback.

NeuroImage·2026
Same journal

Volumetric postmortem MRI of the medial temporal lobe in Alzheimer's disease and related disorders: methodological advances and implications for in vivo biomarker development.

NeuroImage·2026
Same journal

Neural responses to equity and inequity when receiving vicarious rewards for self and charity during adolescence.

NeuroImage·2026
See all related articles

Related Experiment Video

Updated: May 10, 2026

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
12:24

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Statistical analysis of high density diffuse optical tomography.

Mahlega S Hassanpour1, Brian R White, Adam T Eggebrecht

  • 1Department of Physics, CB 1105, Washington University in St. Louis, One Brookings Drive, St. Louis, MO 63130-4899, USA; Department of Radiology, CB 8225, Washington University School of Medicine, 4525 Scott Ave., St. Louis, MO 63110, USA.

Neuroimage
|June 5, 2013
PubMed
Summary
This summary is machine-generated.

High density diffuse optical tomography (HD-DOT) analysis now incorporates functional magnetic resonance imaging (fMRI) tools for better brain function studies. This advancement enables precise statistical mapping and interpretation of HD-DOT neuroimaging data.

Keywords:
Diffuse optical tomographyGeneral linear modelNon-stationary cluster analysisStatistical parametric mapping

More Related Videos

Near Infrared Optical Projection Tomography for Assessments of &beta;-cell Mass Distribution in Diabetes Research
15:18

Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research

Published on: January 12, 2013

Longitudinal Morphological and Physiological Monitoring of Three-dimensional Tumor Spheroids Using Optical Coherence Tomography
08:50

Longitudinal Morphological and Physiological Monitoring of Three-dimensional Tumor Spheroids Using Optical Coherence Tomography

Published on: February 9, 2019

Related Experiment Videos

Last Updated: May 10, 2026

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
12:24

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Near Infrared Optical Projection Tomography for Assessments of &beta;-cell Mass Distribution in Diabetes Research
15:18

Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research

Published on: January 12, 2013

Longitudinal Morphological and Physiological Monitoring of Three-dimensional Tumor Spheroids Using Optical Coherence Tomography
08:50

Longitudinal Morphological and Physiological Monitoring of Three-dimensional Tumor Spheroids Using Optical Coherence Tomography

Published on: February 9, 2019

Area of Science:

  • Neuroimaging
  • Biomedical Engineering
  • Cognitive Neuroscience

Background:

  • High density diffuse optical tomography (HD-DOT) is a portable, noninvasive neuroimaging technique.
  • HD-DOT is suitable for populations not accessible to functional magnetic resonance imaging (fMRI), like children and hospitalized patients.
  • Standardized analysis tools common in fMRI are lacking for HD-DOT.

Purpose of the Study:

  • To adapt and optimize functional magnetic resonance imaging (fMRI) analysis methods for high density diffuse optical tomography (HD-DOT).
  • To enable the use of event-related stimuli designs and general linear model (GLM) analysis in HD-DOT.
  • To develop statistical parametric mapping (SPM) tools for HD-DOT data analysis.

Main Methods:

  • Adapted event-related protocols and GLM de-convolution for un-mixing multi-stimuli HD-DOT data.
  • Developed statistical parametric mapping (SPM) within a general linear model framework, accounting for HD-DOT's temporal and spatial characteristics.
  • Employed a random field noise model and cluster analysis based on non-stationary Gaussian random field theory to address statistical challenges.

Main Results:

  • Demonstrated the successful application of event-related protocols and GLM de-convolution for analyzing complex HD-DOT data.
  • Established statistical parametric mapping (SPM) tools tailored for HD-DOT, incorporating temporal and spatial correlations.
  • Addressed the multiple-comparison problem using advanced statistical methods for more reliable activation detection.

Conclusions:

  • The developed analysis tools significantly enhance the capability of HD-DOT for studying complex brain functions.
  • These methods provide a foundation for quantitative interpretation and statistical significance assessment of HD-DOT findings.
  • The integration of fMRI-like analysis techniques broadens the experimental design possibilities for HD-DOT neuroimaging.