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Related Concept Videos

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:
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Related Experiment Video

Updated: Jun 26, 2026

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

Inverse mapping the neuronal substrates of face categorizations.

Marie L Smith1, P Fries, F Gosselin

  • 1MRC Cognition and Brain Sciences Unit, Cambridge, UK. marie.smith@mrc-cbu.cam.ac.uk

Cerebral Cortex (New York, N.Y. : 1991)
|January 27, 2009
PubMed
Summary
This summary is machine-generated.

Researchers developed a new method to track how the brain processes facial features using magnetoencephalography (MEG). This technique reveals early, isolated feature processing and later complex, task-specific analysis within milliseconds during face perception.

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Published on: August 12, 2019

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Neuroscience

Background:

  • Face perception involves complex brain networks for evaluating identity and expression.
  • Current methods offer limited insight into the temporal dynamics of facial information processing.

Purpose of the Study:

  • Introduce a novel analysis methodology for studying brain information processing during face perception.
  • Track the processing of visual features over time and across cortical regions using magnetoencephalography (MEG).
  • Investigate feature processing in gender and expressiveness categorization tasks.

Main Methods:

  • Utilized spatially and temporally resolved magnetoencephalographic (MEG) signals.
  • Developed a new analysis methodology to directly study brain information processing.
  • Applied the methodology to face categorization tasks (gender, expressiveness).
  • Tracked processing of key visual features over time and cortical location.

Main Results:

  • Information processing begins around 90 ms post-stimulus onset, with isolated feature processing in occipital regions.
  • Successive processing of features and combinations occurs in occipitotemporal regions, peaking at the M170 component (170 ms).
  • Cortical activity shows increased response to task-specific features and combinations between 250-400 ms.
  • The methodology precisely links brain signals to specific visual information, time, location, and task demands.

Conclusions:

  • Face perception involves a dynamic process with early, isolated processing of facial parts.
  • Task-specific processing of feature combinations occurs within 300 ms.
  • The new methodology enables precise tracking of information processing mechanisms in the cortex during face perception.