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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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How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index
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CORTICAL FOLDINGPRINTS FOR INFANT IDENTIFICATION.

Dingna Duan1,2, Shunren Xia1, Zhengwang Wu2

  • 1Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang University, China.

Proceedings. IEEE International Symposium on Biomedical Imaging
|January 16, 2020
PubMed
Summary
This summary is machine-generated.

Infant brain cortical folding patterns are unique for individual identification. This study introduces FoldingPrint, a novel method achieving over 98% accuracy in identifying infants using neonatal brain scans.

Keywords:
cortical foldingindividual identificationinfantmulti-scale curvatures

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Area of Science:

  • Neuroscience
  • Biometrics
  • Developmental Neuroscience

Background:

  • Adult brain cortical folding exhibits unique characteristics useful for individual identification.
  • Infant brain cortical folding undergoes significant postnatal development, with its potential for identification largely unexplored.

Purpose of the Study:

  • To determine if infant cortical folding patterns are unique for individual identification.
  • To identify specific cortical regions that are most distinct and reliable for infant identification.
  • To introduce a novel method for analyzing and utilizing cortical folding patterns in infants.

Main Methods:

  • Development of a novel discriminative descriptor called 'FoldingPrint' based on multi-scale analysis of curvature maps using spherical wavelets.
  • Utilized a large longitudinal dataset comprising 1,141 MRI scans from 472 infants.
  • Applied the FoldingPrint method to assess identification accuracy across different age groups.

Main Results:

  • The FoldingPrint method achieved high accuracy (>98%) in identifying 1-year-olds and 2-year-olds based on their neonatal cortical folding patterns.
  • Demonstrated the effectiveness of the proposed method despite significant brain development in the first two years.
  • Identified high-order association cortices as regions with high identification accuracy and substantial inter-subject variability.

Conclusions:

  • Infant cortical folding patterns are unique and can be reliably used for individual identification.
  • The FoldingPrint method is effective for infant identification, even when using early-stage neonatal data.
  • High-order association cortices play a crucial role in individual distinctiveness during early brain development.