Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications

Dingna Duan, Shunren Xia, Islem Rekik, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

The highly convoluted cortical folding of the human brain is intriguingly complex and variable across individuals. Exploring the underlying representative patterns of cortical folding is of great importance for many neuroimaging studies. At term birth, all major cortical folds are established and are minimally affected by the complicated postnatal environments; hence, neonates are the ideal candidates for exploring early postnatal cortical folding patterns, which yet remain largely unexplored. In this paper, we propose a novel method for exploring the representative regional folding patterns of infant brains. Specifically, first, multi-view curvature features are constructed to comprehensively characterize the complex characteristics of cortical folding. Second, for each view of curvature features, a similarity matrix is computed to measure the similarity of cortical folding in a specific region between any pair of subjects. Next, a similarity network fusion method is adopted to nonlinearly and adaptively fuse all the similarity matrices into a single one for retaining both shared and complementary similarity information of the multiple characteristics of cortical folding. Finally, based on the fused similarity matrix and a hierarchical affinity propagation clustering approach, all subjects are automatically grouped into several clusters to obtain the representative folding patterns. To show the applications, we have applied the proposed method to a large-scale dataset with 595 normal neonates and discovered representative folding patterns in several cortical regions, i.e., the superior temporal gyrus (STG), inferior frontal gyrus (IFG), precuneus, and cingulate cortex. Meanwhile, we have revealed sex difference in STG, IFG, and cingulate cortex, as well as hemispheric asymmetries in STG and cingulate cortex in terms of cortical folding patterns. Moreover, we have also validated the proposed method on a public adult dataset, i.e., the Human Connectome Project (HCP), and revealed that certain major cortical folding patterns of adults are largely established at term birth.

Original languageEnglish
JournalNeuroImage
DOIs
Publication statusAccepted/In press - 2018 Jan 1

Fingerprint

Temporal Lobe
Cerebral Cortex
Gyrus Cinguli
Term Birth
Frontal Lobe
Prefrontal Cortex
Connectome
Newborn Infant
Parietal Lobe
Brain
Neuroimaging
Sex Characteristics
Cluster Analysis
Datasets

Keywords

  • Cortical folding pattern
  • Hemispheric asymmetry
  • Infant brain
  • Sex difference
  • Spherical wavelets

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

Cite this

Exploring folding patterns of infant cerebral cortex based on multi-view curvature features : Methods and applications. / Duan, Dingna; Xia, Shunren; Rekik, Islem; Meng, Yu; Wu, Zhengwang; Wang, Li; Lin, Weili; Gilmore, John H.; Shen, Dinggang; Li, Gang.

In: NeuroImage, 01.01.2018.

Research output: Contribution to journalArticle

Duan, Dingna ; Xia, Shunren ; Rekik, Islem ; Meng, Yu ; Wu, Zhengwang ; Wang, Li ; Lin, Weili ; Gilmore, John H. ; Shen, Dinggang ; Li, Gang. / Exploring folding patterns of infant cerebral cortex based on multi-view curvature features : Methods and applications. In: NeuroImage. 2018.
@article{dfdc2d204c6649bdbd4b555ae64d21e7,
title = "Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications",
abstract = "The highly convoluted cortical folding of the human brain is intriguingly complex and variable across individuals. Exploring the underlying representative patterns of cortical folding is of great importance for many neuroimaging studies. At term birth, all major cortical folds are established and are minimally affected by the complicated postnatal environments; hence, neonates are the ideal candidates for exploring early postnatal cortical folding patterns, which yet remain largely unexplored. In this paper, we propose a novel method for exploring the representative regional folding patterns of infant brains. Specifically, first, multi-view curvature features are constructed to comprehensively characterize the complex characteristics of cortical folding. Second, for each view of curvature features, a similarity matrix is computed to measure the similarity of cortical folding in a specific region between any pair of subjects. Next, a similarity network fusion method is adopted to nonlinearly and adaptively fuse all the similarity matrices into a single one for retaining both shared and complementary similarity information of the multiple characteristics of cortical folding. Finally, based on the fused similarity matrix and a hierarchical affinity propagation clustering approach, all subjects are automatically grouped into several clusters to obtain the representative folding patterns. To show the applications, we have applied the proposed method to a large-scale dataset with 595 normal neonates and discovered representative folding patterns in several cortical regions, i.e., the superior temporal gyrus (STG), inferior frontal gyrus (IFG), precuneus, and cingulate cortex. Meanwhile, we have revealed sex difference in STG, IFG, and cingulate cortex, as well as hemispheric asymmetries in STG and cingulate cortex in terms of cortical folding patterns. Moreover, we have also validated the proposed method on a public adult dataset, i.e., the Human Connectome Project (HCP), and revealed that certain major cortical folding patterns of adults are largely established at term birth.",
keywords = "Cortical folding pattern, Hemispheric asymmetry, Infant brain, Sex difference, Spherical wavelets",
author = "Dingna Duan and Shunren Xia and Islem Rekik and Yu Meng and Zhengwang Wu and Li Wang and Weili Lin and Gilmore, {John H.} and Dinggang Shen and Gang Li",
year = "2018",
month = "1",
day = "1",
doi = "10.1016/j.neuroimage.2018.08.041",
language = "English",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Academic Press Inc.",

}

TY - JOUR

T1 - Exploring folding patterns of infant cerebral cortex based on multi-view curvature features

T2 - Methods and applications

AU - Duan, Dingna

AU - Xia, Shunren

AU - Rekik, Islem

AU - Meng, Yu

AU - Wu, Zhengwang

AU - Wang, Li

AU - Lin, Weili

AU - Gilmore, John H.

AU - Shen, Dinggang

AU - Li, Gang

PY - 2018/1/1

Y1 - 2018/1/1

N2 - The highly convoluted cortical folding of the human brain is intriguingly complex and variable across individuals. Exploring the underlying representative patterns of cortical folding is of great importance for many neuroimaging studies. At term birth, all major cortical folds are established and are minimally affected by the complicated postnatal environments; hence, neonates are the ideal candidates for exploring early postnatal cortical folding patterns, which yet remain largely unexplored. In this paper, we propose a novel method for exploring the representative regional folding patterns of infant brains. Specifically, first, multi-view curvature features are constructed to comprehensively characterize the complex characteristics of cortical folding. Second, for each view of curvature features, a similarity matrix is computed to measure the similarity of cortical folding in a specific region between any pair of subjects. Next, a similarity network fusion method is adopted to nonlinearly and adaptively fuse all the similarity matrices into a single one for retaining both shared and complementary similarity information of the multiple characteristics of cortical folding. Finally, based on the fused similarity matrix and a hierarchical affinity propagation clustering approach, all subjects are automatically grouped into several clusters to obtain the representative folding patterns. To show the applications, we have applied the proposed method to a large-scale dataset with 595 normal neonates and discovered representative folding patterns in several cortical regions, i.e., the superior temporal gyrus (STG), inferior frontal gyrus (IFG), precuneus, and cingulate cortex. Meanwhile, we have revealed sex difference in STG, IFG, and cingulate cortex, as well as hemispheric asymmetries in STG and cingulate cortex in terms of cortical folding patterns. Moreover, we have also validated the proposed method on a public adult dataset, i.e., the Human Connectome Project (HCP), and revealed that certain major cortical folding patterns of adults are largely established at term birth.

AB - The highly convoluted cortical folding of the human brain is intriguingly complex and variable across individuals. Exploring the underlying representative patterns of cortical folding is of great importance for many neuroimaging studies. At term birth, all major cortical folds are established and are minimally affected by the complicated postnatal environments; hence, neonates are the ideal candidates for exploring early postnatal cortical folding patterns, which yet remain largely unexplored. In this paper, we propose a novel method for exploring the representative regional folding patterns of infant brains. Specifically, first, multi-view curvature features are constructed to comprehensively characterize the complex characteristics of cortical folding. Second, for each view of curvature features, a similarity matrix is computed to measure the similarity of cortical folding in a specific region between any pair of subjects. Next, a similarity network fusion method is adopted to nonlinearly and adaptively fuse all the similarity matrices into a single one for retaining both shared and complementary similarity information of the multiple characteristics of cortical folding. Finally, based on the fused similarity matrix and a hierarchical affinity propagation clustering approach, all subjects are automatically grouped into several clusters to obtain the representative folding patterns. To show the applications, we have applied the proposed method to a large-scale dataset with 595 normal neonates and discovered representative folding patterns in several cortical regions, i.e., the superior temporal gyrus (STG), inferior frontal gyrus (IFG), precuneus, and cingulate cortex. Meanwhile, we have revealed sex difference in STG, IFG, and cingulate cortex, as well as hemispheric asymmetries in STG and cingulate cortex in terms of cortical folding patterns. Moreover, we have also validated the proposed method on a public adult dataset, i.e., the Human Connectome Project (HCP), and revealed that certain major cortical folding patterns of adults are largely established at term birth.

KW - Cortical folding pattern

KW - Hemispheric asymmetry

KW - Infant brain

KW - Sex difference

KW - Spherical wavelets

UR - http://www.scopus.com/inward/record.url?scp=85052198170&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85052198170&partnerID=8YFLogxK

U2 - 10.1016/j.neuroimage.2018.08.041

DO - 10.1016/j.neuroimage.2018.08.041

M3 - Article

C2 - 30130646

AN - SCOPUS:85052198170

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

ER -