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

Vision01:24

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.
Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex.

You might also read

Related Articles

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

Sort by
Same author

EEG-Pype: An accessible MNE-Python pipeline with graphical user interface for preprocessing and analysis of resting-state electroencephalography data.

PLoS computational biology·2026
Same author

Neural Tuning for Ordinal Processing: Convergent Patterns in Human Brains and Artificial Networks.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same author

Replication and validation of two novel magnetoencephalography functional connectivity measures in Alzheimer's disease.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Feedback of peripheral saccade targets to early foveal cortex.

eLife·2026
Same author

Biomarkers.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

Neighbourhood topology unveils pathological hubs in the brain networks of epilepsy-surgery patients.

Brain communications·2025

Related Experiment Video

Updated: Jul 12, 2026

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

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

Published on: October 24, 2012

Non-invasive mapping of the temporal processing hierarchy in the human visual cortex.

Katharina Eickhoff1,2,3, Arjan Hillebrand4,5,6, Tomas Knapen1,2,3

  • 1Spinoza Centre for Neuroimaging, Amsterdam, the Netherlands.

Plos Computational Biology
|July 10, 2026
PubMed
Summary

This study introduces a novel method combining fMRI and MEG to precisely map visual processing across the brain. The technique reveals the timing and spatial organization of the human visual hierarchy with millisecond accuracy.

More Related Videos

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation
07:11

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation

Published on: December 8, 2023

Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

Related Experiment Videos

Last Updated: Jul 12, 2026

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

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

Published on: October 24, 2012

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation
07:11

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation

Published on: December 8, 2023

Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Neuroimaging

Background:

  • Understanding brain function requires analyzing both spatial and temporal dynamics.
  • Simultaneously capturing fine spatial details and rapid temporal dynamics of visual processing is challenging.
  • A gap exists in understanding the spatiotemporal dynamics of visual processing.

Purpose of the Study:

  • To develop a non-invasive forward modeling technique bridging high-spatial resolution fMRI and high-temporal resolution MEG.
  • To estimate visual hierarchy levels and their involvement in visual processing with millisecond precision.
  • To address the challenge of understanding spatiotemporal dynamics in the human brain.

Main Methods:

  • Used fMRI to identify visual hierarchy levels via population receptive fields and visual field maps.
  • Predicted MEG activity patterns based on fMRI-derived visual field maps.
  • Compared predicted and measured MEG responses to assess the contribution and timing of visual field maps.

Main Results:

  • Revealed a cortical processing hierarchy across visual field maps using combined fMRI-MEG data.
  • The primary visual cortex showed the earliest and most significant contribution to MEG signals.
  • The model demonstrated robustness and generalization across different sensor types, stimulus shapes, and model parameters.

Conclusions:

  • The developed forward modeling technique successfully integrates fMRI and MEG for high spatiotemporal resolution brain analysis.
  • This approach bridges traditionally separate neuroimaging techniques, enabling new research into brain function.
  • The findings contribute to closing gaps in understanding the spatiotemporal dynamics of human visual processing.