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

Imaging Studies III: Computed Tomography

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...

Vision

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.

You might also read

Related Articles

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

Sort by

Same author

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

eLife·2026

Same author

Altered neurodevelopmental trajectories of brain structure in Tourette syndrome and Chronic Tic Disorders.

medRxiv : the preprint server for health sciences·2026

Same author

Simultaneous thermal and large field-of-view two-photon imaging enables optimization of signal-to-noise.

Neurophotonics·2026

Same author

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

bioRxiv : the preprint server for biology·2026

Same author

Basal Ganglia Dopamine Availability and Immune Activation Interact and Relate to Anhedonia Severity among Youth with Depression.

Research square·2026

Same author

Mapping functional connectivity in the pigeon brain with wide-field optical imaging.

Neurophotonics·2026

Same journal

Category-selective neural decreases in the human ventral occipito-temporal cortex as defined with intracranial recordings.

NeuroImage·2026

Same journal

EEG-Based Brain Fingerprints Elicited by Focal Transcranial Magnetic Stimulation of the Primary Motor Cortex.

NeuroImage·2026

Same journal

The Association between Brain Oscillatory Activity and Immediate Memory under Different Magnetoencephalography Paradigms: A population-based Study.

NeuroImage·2026

Same journal

Brain response to awe experiences in virtual reality: an integrated linear and nonlinear EEG analysis.

NeuroImage·2026

Same journal

Convergent imaging and genetic signatures of gray matter atrophy in Parkinson's disease.

NeuroImage·2026

Same journal

What actually matters in multi-compartment EEG head models: A controlled FEM study of parcellation granularity, skull layering, mesh quality, noise, and inverse solver.

NeuroImage·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Dec 2, 2025

Thinned-skull Cortical Window Technique for In Vivo Optical Coherence Tomography Imaging

Thinned-skull Cortical Window Technique for In Vivo Optical Coherence Tomography Imaging

Published on: November 19, 2012

Decoding visual information from high-density diffuse optical tomography neuroimaging data.

Kalyan Tripathy¹, Zachary E Markow¹, Andrew K Fishell¹

¹Department of Radiology, Washington University School of Medicine, Couch Biomedical Research Building, 4515 McKinley Avenue, 2nd Floor, St. Louis, MO 63110, USA.

|November 2, 2020

Summary

This summary is machine-generated.

This study demonstrates that high-density diffuse optical tomography (HD-DOT) enables accurate neural decoding of visual stimuli at the single-trial level. This breakthrough paves the way for advanced brain-computer interfaces and clinical applications.

Keywords:

Decoding Functional neuroimaging High-density diffuse optical tomography Retinotopy

More Related Videos

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

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

Published on: October 20, 2023

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Related Experiment Videos

Last Updated: Dec 2, 2025

Thinned-skull Cortical Window Technique for In Vivo Optical Coherence Tomography Imaging

Thinned-skull Cortical Window Technique for In Vivo Optical Coherence Tomography Imaging

Published on: November 19, 2012

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

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

Published on: October 20, 2023

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Area of Science:

Neuroscience
Biomedical Engineering
Medical Imaging

Background:

Neural decoding applications are limited by current neuroimaging techniques like electrocorticography (invasive) and MRI (cumbersome).
Functional near-infrared spectroscopy (fNIRS) offers logistical advantages but suffers from poor image quality.
High-density diffuse optical tomography (HD-DOT) combines optical imaging's portability with improved image resolution.

Purpose of the Study:

To evaluate the feasibility and performance of neural decoding using HD-DOT data.
To assess HD-DOT's capability for decoding visual information in the visual cortex.

Main Methods:

Employed a template matching strategy for single-trial decoding of visual stimulus position using HD-DOT.
Utilized Receiver Operating Characteristic (ROC) analysis to quantify decoding accuracy, sensitivity, and reproducibility.
Applied phase-encoded checkerboard stimuli to investigate complex, non-binary decoding.

Main Results:

Achieved high decoding accuracy (mean AUC > 0.97) for binary visual decoding in a primary participant.
Demonstrated reproducible decoding across multiple individuals (mean AUC > 0.7), indicating inter-individual decoding feasibility.
Successfully decoded complex visual patterns (checkerboard phase) with reasonable accuracy (25.8±24.7° error).

Conclusions:

HD-DOT facilitates accurate and reproducible single-trial neural decoding of visual information.
The findings support the potential of HD-DOT for advanced neuroimaging applications and clinical use.
This research establishes a foundation for decoding more complex brain activity with HD-DOT.