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Related Concept Videos

Association Areas of the Cortex01:21

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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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The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at...
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Each cerebral hemisphere can be divided into three main regions. The outermost region, the cerebral cortex, is a thin layer (2 to 4 millimeters thick) made up of gray matter, consisting of neuron cell bodies, dendrites, glial cells, and blood vessels. The middle region, or white matter, is primarily composed of myelinated nerve fibers organized into three types of large tracts: association fibers, commissures, and projection fibers. Association fibers connect different areas within the same...
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Related Experiment Video

Updated: Aug 13, 2025

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
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Global diversity in individualized cortical network topography.

Guoyuan Yang1, Jelena Bozek2, Stephanie Noble3

  • 1Advanced Research Institute of Multidisciplinary Sciences, School of Medical Technology, School of Life Science, Beijing Institute of Technology, Beijing 100081, China.

Cerebral Cortex (New York, N.Y. : 1991)
|January 19, 2023
PubMed
Summary

Individualized cortical network topography differs between White Americans and Han Chinese, impacting brain function. This brain network diversity can even predict ethnicity, underscoring the need for diverse neuroimaging data.

Keywords:
ethnicityfunctional brain networksindividualized parcellationresting statevariability

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Area of Science:

  • Neuroscience
  • Human Brain Imaging
  • Population Neuroscience

Background:

  • Individualized cortical network topography (ICNT) shows significant variation, particularly in association networks.
  • Previous ICNT research primarily focused on Western populations, leaving the influence of non-Western populations understudied.

Purpose of the Study:

  • To investigate how ICNT differs between White American and Han Chinese populations.
  • To determine if ethnicity-related ICNT variations can be used for ethnicity identification.
  • To explore the relationship between ethnic ICNT diversity and cortical organization properties.

Main Methods:

  • Utilized a multisession hierarchical Bayesian model to define individualized functional networks.
  • Analyzed data from White American and Han Chinese participants in the Human Connectome Project.
  • Employed support vector machine and generalized additive models for classification and validation.

Main Results:

  • Significant differences in the size and spatial topography of individualized functional networks were observed between White American and Han Chinese groups, especially in heteromodal association cortex.
  • Ethnicity was identified with 74% accuracy using ICNT, with heteromodal networks being key predictors.
  • Spatial heterogeneity in ICNT ethnic diversity correlated with evolutionary expansion, myelination, and cerebral blood flow.

Conclusions:

  • ICNT exhibits ethnic variations, particularly in heteromodal association networks.
  • ICNT diversity can serve as a biomarker for ethnicity.
  • Findings emphasize the critical need for more diverse global neuroimaging datasets for comprehensive brain research.