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Association Areas of the Cortex

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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: Jul 2, 2025

Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition

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Identifying individual's distractor suppression using functional connectivity between anatomical large-scale brain

Lei Zhuo¹, Zhenlan Jin¹, Ke Xie²

¹MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Psychiatry and Psychology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, PR China.

|February 22, 2024

Summary

This study reveals that brain connectivity patterns predict an individual's ability to suppress visual distractions. These findings highlight the importance of communication between brain regions for effective distractor suppression.

Keywords:

Distractor suppression Functional connectivity Large-scale brain regions Predictive model

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Last Updated: Jul 2, 2025

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Published on: February 1, 2012

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A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions

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Published on: July 16, 2015

Area of Science:

Neuroscience
Cognitive Science
Psychology

Background:

Distractor suppression (DS) is vital for goal-directed behavior, involving the inhibition of irrelevant information.
The prefrontal cortex is a key region for DS, with contributions from subcortical, occipital, and temporal areas.

Purpose of the Study:

To investigate the role of inter-regional brain communication in visual distractor suppression.
To develop predictive models of DS based on functional brain connectivity.

Main Methods:

Two independent cohorts were studied: one performing a visual search task for DS measurement, the other completing a distractibility questionnaire.
Resting-state functional magnetic resonance imaging (rs-fMRI) was used to assess functional connectivity (FC).
Predictive models of DS were generated using FC data between large anatomical regions.

Main Results:

Predictive models accurately estimated individual DS performance (r = 0.32, p < 0.01).
Key connections contributing to the predictive model included Prefrontal-Temporal, Insula-Limbic, and Parietal-Occipital pathways.
The model also successfully predicted daily life distractibility in an independent cohort (r = -0.34, p < 0.05).

Conclusions:

Functional connectivity between large anatomical brain regions can effectively predict visual distractor suppression.
Communication between attention-related and visual processing regions is crucial for DS.
These findings may offer neurobiological markers for assessing visual distractor suppression.