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

Lateralization01:28

Lateralization

Brain lateralization refers to the division of mental processes and functions between the two hemispheres of the brain, a phenomenon that optimizes neural efficiency and underpins complex abilities in humans. This specialization allows each hemisphere to perform tasks where it has a comparative advantage, facilitating more refined cognitive capabilities across different domains.
Cerebral Hemispheres01:05

Cerebral Hemispheres

The human brain, a complex organ, is functionally divided into two cerebral hemispheres—left and right. These hemispheres are interconnected by a structure of paramount importance, the corpus callosum. This substantial bundle of neural fibers is not just a bridge between the hemispheres but a crucial element for the brain's comprehensive functioning. It enables efficient communication between the two hemispheres, allowing each side of the brain to control and receive sensory and motor...
Association Areas of the Cortex01:21

Association Areas of the Cortex

Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
Lobes of the Cerebrum01:22

Lobes of the Cerebrum

The cerebral cortex, a critical structure of the brain, is intricately divided into two hemispheres, each consisting of four distinct lobes: occipital, temporal, frontal, and parietal. These lobes function cooperatively to regulate various cognitive and sensory functions, forming the basis of our complex neural capabilities.
Frontal lobe
The frontal lobes, located behind the forehead, are the command center of our brain, controlling personality, intelligence, and voluntary muscle movements.
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...
Organization of the Brain01:30

Organization of the Brain

The brain is an integral component of the nervous system and serves as the center for processing sensory inputs, making decisions, and directing bodily actions. This complex organ is organized into three primary sections: the hindbrain, midbrain, and forebrain, each responsible for a range of vital functions.
Hindbrain
The hindbrain, located at the base of the brain, plays a vital role in regulating automatic processes that sustain life. It includes the medulla oblongata, which is essential for...

You might also read

Related Articles

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

Sort by
Same author

Dynamic bi-domain discriminator adversarial network for EEG emotion recognition.

Cognitive neurodynamics·2026
Same author

Self-Rectifying Integrate-and-Fire Neuron and Collaborative Trim Training Framework for SNN-Based EEG Motor Imagery Classification.

Brain sciences·2026
Same author

Real-time yoga posture correction using deep learning for individuals with physical disabilities.

Scientific reports·2026
Same author

A Visual Behavioral Training Study of Categorical Face Pattern Recognition in Mice.

Annals of the New York Academy of Sciences·2026
Same author

Discovery of 1,3-disubstituted indole derivatives as ATP-competitive inhibitors of sphingosine kinase for tumor therapy.

European journal of medicinal chemistry·2026
Same author

Bi-Hemispheric Adversarial Domain Adaptation Neural Network for EEG-Based Emotion Recognition.

Brain sciences·2026

Related Experiment Video

Updated: May 26, 2026

Central and Divided Visual Field Presentation of Emotional Images to Measure Hemispheric Differences in Motivated Attention
05:36

Central and Divided Visual Field Presentation of Emotional Images to Measure Hemispheric Differences in Motivated Attention

Published on: November 16, 2017

Lateralization of face processing in the human brain.

Ming Meng1, Tharian Cherian, Gaurav Singal

  • 1Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA. ming.meng@dartmouth.edu

Proceedings. Biological Sciences
|January 6, 2012
PubMed
Summary

The left and right brain hemispheres process faces differently. The left focuses on basic visual features, while the right handles complex categorization and maintains activity longer.

More Related Videos

Evaluation of Hemisphere Lateralization with Bilateral Local Field Potential Recording in Secondary Motor Cortex of Mice
07:03

Evaluation of Hemisphere Lateralization with Bilateral Local Field Potential Recording in Secondary Motor Cortex of Mice

Published on: July 31, 2019

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

Related Experiment Videos

Last Updated: May 26, 2026

Central and Divided Visual Field Presentation of Emotional Images to Measure Hemispheric Differences in Motivated Attention
05:36

Central and Divided Visual Field Presentation of Emotional Images to Measure Hemispheric Differences in Motivated Attention

Published on: November 16, 2017

Evaluation of Hemisphere Lateralization with Bilateral Local Field Potential Recording in Secondary Motor Cortex of Mice
07:03

Evaluation of Hemisphere Lateralization with Bilateral Local Field Potential Recording in Secondary Motor Cortex of Mice

Published on: July 31, 2019

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Brain Imaging

Background:

  • Understanding hemispheric specialization in visual processing is crucial for cognitive neuroscience.
  • Previous research has not fully characterized lateralized differences in face perception mechanisms.
  • Neural resource allocation raises questions about potential 'duplicated processing' of faces.

Purpose of the Study:

  • To investigate and precisely characterize lateral differences in human face processing.
  • To assess cortical sensitivity to facial semblance, contextual modulation, and temporal dynamics.
  • To elucidate the functional architecture of face processing across cerebral hemispheres.

Main Methods:

  • Utilized functional magnetic resonance imaging (fMRI) to measure brain activity.
  • Examined responses to varying levels of facial semblance and face/non-face categorization.
  • Analyzed the influence of contextual information and the temporal dynamics of neural responses.

Main Results:

  • Left fusiform gyrus activation correlated with image-level face semblance.
  • Right hemisphere activation correlated with categorical face/non-face judgments.
  • Contextual modulation significantly impacted the left hemisphere but minimally affected the right.
  • Face-selectivity persisted in the right hemisphere after left hemisphere activity subsided.

Conclusions:

  • The left hemisphere appears specialized for processing 'low-level' facial features (semblance).
  • The right hemisphere is more involved in 'deep' categorical analysis of faces.
  • Hemispheric asymmetry suggests a sequential processing model for face recognition.