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

Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

You might also read

Related Articles

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

Sort by

Same author

Gaze behavior during closed-captioned movie viewing adapts to absent audio through more frequent switching between text and scene.

Journal of vision·2026

Same author

Brain reward function in young people with cannabis use disorder: A functional magnetic resonance imaging study.

Addiction (Abingdon, England)·2026

Same author

The influence of nonlinear resonance on human cortical oscillations.

Communications biology·2026

Same author

Neurophysiology of brain temperature dysregulation in humans.

Journal of neurophysiology·2026

Same author

The relationship between napping and memory varies as a function of genetic risk for Alzheimer's disease.

Journal of Alzheimer's disease : JAD·2026

Same author

AI-enhanced Centiloid quantification of amyloid PET images.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026

Search research articles

Related Experiment Video

Updated: Mar 19, 2026

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

The spatiotemporal hemodynamic response function for depth-dependent functional imaging of human cortex.

Alexander M Puckett¹, Kevin M Aquino², P A Robinson³

¹School of Psychology, University of Wollongong, Wollongong, NSW 2522, Australia.

|June 21, 2016

Summary

High-resolution functional magnetic resonance imaging (fMRI) reveals depth-dependent changes in the human brain's hemodynamic response function (HRF). This finding is crucial for accurately interpreting neuronal activity across cortical depths.

Keywords:

Hemodynamic response High-resolution Human Layers Visual cortex fMRI

More Related Videos

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

Published on: June 20, 2012

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

Related Experiment Videos

Last Updated: Mar 19, 2026

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

Published on: June 20, 2012

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

Area of Science:

Neuroimaging
Human Brain Anatomy
Physiology

Background:

Human cortical gray matter exhibits depth-dependent variations in neuronal activity, connectivity, and vasculature.
Advances in functional magnetic resonance imaging (fMRI) offer sub-millimeter resolution for non-invasive studies in humans.

Purpose of the Study:

To reconstruct and analyze the spatiotemporal hemodynamic response function (HRF) using high-resolution, submillimeter fMRI.
To investigate how spatial properties of the HRF vary with depth in the human cortex.

Main Methods:

Reconstruction of the hemodynamic response function (HRF) using submillimeter fMRI data.
Decomposition of the HRF into tangential and perpendicular components relative to the cortical surface.
Application of a hemodynamic model to interpret depth-dependent HRF changes.

Main Results:

Significant depth-dependent alterations in key spatial properties of the HRF were observed.
The spatial spread of the HRF increased linearly from 4.8mm at the gray/white matter boundary to 6.6mm near the cortical surface.
Depth-dependent changes in cortical vasculature are proposed as the underlying cause.

Conclusions:

The spatial spread of the hemodynamic response function (HRF) varies significantly with cortical depth.
Cortical vasculature's depth profile influences HRF spatial properties.
Accurate estimation of neuronal responses at different cortical depths requires accounting for these depth-dependent HRF characteristics.