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

Association Areas of the Cortex01:21

Association Areas of the Cortex

10.2K
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,...
10.2K
Prosopagnosia01:24

Prosopagnosia

1.0K
Prosopagnosia, also known as face blindness, is the inability to recognize faces. In severe cases, individuals with prosopagnosia may not recognize close family members, including parents and spouses, by their faces. For instance, someone with prosopagnosia might walk past their child in a crowd, only realizing their mistake upon noticing their child's distinctive backpack or favorite jacket. Prosopagnosia specifically impairs facial recognition, while the recognition of other objects or...
1.0K
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

738
Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role...
738
Nonconscious Mimicry01:13

Nonconscious Mimicry

5.2K
Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
5.2K
Correspondence Bias01:17

Correspondence Bias

292
Correspondence bias, also referred to as the fundamental attribution error, describes the tendency to attribute another person’s behavior to internal characteristics rather than situational influences. This cognitive bias leads individuals to overlook external factors that may be influencing actions, thereby fostering potentially inaccurate assessments of others’ intentions and dispositions.Empirical Evidence for Correspondence BiasResearch has consistently demonstrated the...
292
Parallel Processing01:20

Parallel Processing

842
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...
842

You might also read

Related Articles

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

Sort by
Same author

Concussion in the Wild: Clinical Utility of Ambulatory Assessment of Symptoms and Everyday Exposures in Adolescents and Adults with Concussion.

Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists·2025
Same author

The Physical Activity, Imaging, and Ambulatory Testing (PHIAT) Project: Protocol for a High-Frequency Ambulatory Assessment Study.

JMIR research protocols·2025
Same author

Optimizing the Color Shapes Task for Ambulatory Assessment and Drift Diffusion Modeling: A Factorial Experiment.

JMIR formative research·2025
Same author

Contextualized cognition: Clarifying associations between remote unsupervised performance and clinically relevant contextual factors.

The Clinical neuropsychologist·2025
Same author

Cognitive Health Benefits of Everyday Physical Activity in a Diverse Sample of Middle-Aged Adults.

Annals of behavioral medicine : a publication of the Society of Behavioral Medicine·2024
Same author

Documenting Compliance and Symptom Reactivity for Ambulatory Assessment Methodology Following Concussion in Adolescents and Young Adults: Feasibility of the Mobile Neurocognitive Health (MNCH) Project.

The Journal of head trauma rehabilitation·2024

Related Experiment Video

Updated: Mar 9, 2026

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis
10:33

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

Published on: June 20, 2012

13.4K

Beyond the FFA: Brain-behavior correspondences in face recognition abilities.

Daniel B Elbich1, Suzanne Scherf1

  • 1Department of Psychology Penn State University, 113 Moore Building, University Park, PA 16802, United States.

Neuroimage
|December 21, 2016
PubMed
Summary

Better face recognition is linked to larger, more widespread brain activity in face-processing regions. This suggests that engaging more neural areas leads to richer facial representations and improved processing.

Keywords:
AmygdalaFFAFace recognitionFusiform gyrusIndividual differencesfMRI

More Related Videos

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

818
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

10.0K

Related Experiment Videos

Last Updated: Mar 9, 2026

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis
10:33

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

Published on: June 20, 2012

13.4K
Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

818
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

10.0K

Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Human Brain Imaging

Background:

  • The neural underpinnings of face perception are extensively studied, yet the link between brain activation and actual face processing behavior remains unclear.
  • Understanding individual differences in brain-behavior correspondences is crucial for a comprehensive view of face perception.

Purpose of the Study:

  • To investigate the relationship between individual differences in brain activation and face recognition behavior.
  • To explore these brain-behavior correspondences within both core and extended face-processing networks.

Main Methods:

  • Utilized behavioral (face/object recognition) and neural (activation magnitude, region size, global activation) measures.
  • Examined healthy, typically developing adults.
  • Focused on specific regions within the face-processing system.

Main Results:

  • Face recognition behavior correlated with greater face-selective activation magnitude in the left FFA1.
  • Larger face-related regions in bilateral fusiform gyri, anterior temporal lobe, and amygdala were associated with better face recognition.
  • More distributed global activation across the face network also predicted superior face recognition.
  • No association was found between face recognition and object- or place-selective activation.

Conclusions:

  • Superior face recognition performance is associated with engaging larger and more distributed neural areas within the face-processing network.
  • These findings suggest that enhanced representations, possibly through neuronal population integration, underlie better face processing.
  • Individual differences in neural architecture and activation patterns significantly contribute to variations in face recognition ability.