Charting development-based joint parcellation maps of human and macaque brains during infancy

Jing Xia, Fan Wang, Zhengwang Wu, Li Wang, Yaping Wang, Caiming Zhang, Weili Lin, Dinggang Shen, Gang Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Comparative characterization of early brain development between human and macaque using neuroimaging data is crucial to understand the mechanisms of brain development and evolution. To this end, joint cortical parcellation maps of human and macaque infant brains with corresponding regions are highly desirable, since they provide basic cortical parcels for both region-based and network-based studies of two closely-related species. To address this issue, we propose to leverage developmental patterns of cortical properties of both human and macaque infants for creating joint parcellation maps with inter-species comparability. The motivation is that the developmental patterns of cortical properties indicate underlying rapid changes of microstructures, which determine the molecular and functional principles of the cortex. Thus, developmental patterns are well suitable for defining distinct cortical regions in both structures and functions. To comprehensively capture the similarities of developmental patterns of vertices on cortical surfaces, for each species, we first construct two complementary similarity matrices: a low-order matrix and a high-order matrix. Then, we non-linearly fuse these four matrices together as a single matrix in a hierarchical manner, thus capturing the common and complementary information of both human and macaque infants. Finally, based on the fused similarity matrix, we apply the spectral clustering to derive the joint parcellation maps. By applying our method to 210 longitudinal human infant MRI scans and 140 longitudinal macaque infant MRI scans, we generate the first biologically-meaningful joint parcellation maps of human and macaque infants.

Original languageEnglish
Title of host publicationISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging
PublisherIEEE Computer Society
Pages422-425
Number of pages4
ISBN (Electronic)9781538636411
DOIs
Publication statusPublished - 2019 Apr
Externally publishedYes
Event16th IEEE International Symposium on Biomedical Imaging, ISBI 2019 - Venice, Italy
Duration: 2019 Apr 82019 Apr 11

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2019-April
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference16th IEEE International Symposium on Biomedical Imaging, ISBI 2019
CountryItaly
CityVenice
Period19/4/819/4/11

Fingerprint

Macaca
Brain
Joints
Magnetic Resonance Imaging
Neuroimaging
Human Development
Electric fuses
Cluster Analysis
Motivation
Microstructure

Keywords

  • Joint parcellation
  • Macaque infants

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Xia, J., Wang, F., Wu, Z., Wang, L., Wang, Y., Zhang, C., ... Li, G. (2019). Charting development-based joint parcellation maps of human and macaque brains during infancy. In ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging (pp. 422-425). [8759379] (Proceedings - International Symposium on Biomedical Imaging; Vol. 2019-April). IEEE Computer Society. https://doi.org/10.1109/ISBI.2019.8759379

Charting development-based joint parcellation maps of human and macaque brains during infancy. / Xia, Jing; Wang, Fan; Wu, Zhengwang; Wang, Li; Wang, Yaping; Zhang, Caiming; Lin, Weili; Shen, Dinggang; Li, Gang.

ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, 2019. p. 422-425 8759379 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Xia, J, Wang, F, Wu, Z, Wang, L, Wang, Y, Zhang, C, Lin, W, Shen, D & Li, G 2019, Charting development-based joint parcellation maps of human and macaque brains during infancy. in ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging., 8759379, Proceedings - International Symposium on Biomedical Imaging, vol. 2019-April, IEEE Computer Society, pp. 422-425, 16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, 19/4/8. https://doi.org/10.1109/ISBI.2019.8759379
Xia J, Wang F, Wu Z, Wang L, Wang Y, Zhang C et al. Charting development-based joint parcellation maps of human and macaque brains during infancy. In ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society. 2019. p. 422-425. 8759379. (Proceedings - International Symposium on Biomedical Imaging). https://doi.org/10.1109/ISBI.2019.8759379
Xia, Jing ; Wang, Fan ; Wu, Zhengwang ; Wang, Li ; Wang, Yaping ; Zhang, Caiming ; Lin, Weili ; Shen, Dinggang ; Li, Gang. / Charting development-based joint parcellation maps of human and macaque brains during infancy. ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, 2019. pp. 422-425 (Proceedings - International Symposium on Biomedical Imaging).
@inproceedings{f341b856e83545eea3bac47410e1d3eb,
title = "Charting development-based joint parcellation maps of human and macaque brains during infancy",
abstract = "Comparative characterization of early brain development between human and macaque using neuroimaging data is crucial to understand the mechanisms of brain development and evolution. To this end, joint cortical parcellation maps of human and macaque infant brains with corresponding regions are highly desirable, since they provide basic cortical parcels for both region-based and network-based studies of two closely-related species. To address this issue, we propose to leverage developmental patterns of cortical properties of both human and macaque infants for creating joint parcellation maps with inter-species comparability. The motivation is that the developmental patterns of cortical properties indicate underlying rapid changes of microstructures, which determine the molecular and functional principles of the cortex. Thus, developmental patterns are well suitable for defining distinct cortical regions in both structures and functions. To comprehensively capture the similarities of developmental patterns of vertices on cortical surfaces, for each species, we first construct two complementary similarity matrices: a low-order matrix and a high-order matrix. Then, we non-linearly fuse these four matrices together as a single matrix in a hierarchical manner, thus capturing the common and complementary information of both human and macaque infants. Finally, based on the fused similarity matrix, we apply the spectral clustering to derive the joint parcellation maps. By applying our method to 210 longitudinal human infant MRI scans and 140 longitudinal macaque infant MRI scans, we generate the first biologically-meaningful joint parcellation maps of human and macaque infants.",
keywords = "Joint parcellation, Macaque infants",
author = "Jing Xia and Fan Wang and Zhengwang Wu and Li Wang and Yaping Wang and Caiming Zhang and Weili Lin and Dinggang Shen and Gang Li",
year = "2019",
month = "4",
doi = "10.1109/ISBI.2019.8759379",
language = "English",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "422--425",
booktitle = "ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging",

}

TY - GEN

T1 - Charting development-based joint parcellation maps of human and macaque brains during infancy

AU - Xia, Jing

AU - Wang, Fan

AU - Wu, Zhengwang

AU - Wang, Li

AU - Wang, Yaping

AU - Zhang, Caiming

AU - Lin, Weili

AU - Shen, Dinggang

AU - Li, Gang

PY - 2019/4

Y1 - 2019/4

N2 - Comparative characterization of early brain development between human and macaque using neuroimaging data is crucial to understand the mechanisms of brain development and evolution. To this end, joint cortical parcellation maps of human and macaque infant brains with corresponding regions are highly desirable, since they provide basic cortical parcels for both region-based and network-based studies of two closely-related species. To address this issue, we propose to leverage developmental patterns of cortical properties of both human and macaque infants for creating joint parcellation maps with inter-species comparability. The motivation is that the developmental patterns of cortical properties indicate underlying rapid changes of microstructures, which determine the molecular and functional principles of the cortex. Thus, developmental patterns are well suitable for defining distinct cortical regions in both structures and functions. To comprehensively capture the similarities of developmental patterns of vertices on cortical surfaces, for each species, we first construct two complementary similarity matrices: a low-order matrix and a high-order matrix. Then, we non-linearly fuse these four matrices together as a single matrix in a hierarchical manner, thus capturing the common and complementary information of both human and macaque infants. Finally, based on the fused similarity matrix, we apply the spectral clustering to derive the joint parcellation maps. By applying our method to 210 longitudinal human infant MRI scans and 140 longitudinal macaque infant MRI scans, we generate the first biologically-meaningful joint parcellation maps of human and macaque infants.

AB - Comparative characterization of early brain development between human and macaque using neuroimaging data is crucial to understand the mechanisms of brain development and evolution. To this end, joint cortical parcellation maps of human and macaque infant brains with corresponding regions are highly desirable, since they provide basic cortical parcels for both region-based and network-based studies of two closely-related species. To address this issue, we propose to leverage developmental patterns of cortical properties of both human and macaque infants for creating joint parcellation maps with inter-species comparability. The motivation is that the developmental patterns of cortical properties indicate underlying rapid changes of microstructures, which determine the molecular and functional principles of the cortex. Thus, developmental patterns are well suitable for defining distinct cortical regions in both structures and functions. To comprehensively capture the similarities of developmental patterns of vertices on cortical surfaces, for each species, we first construct two complementary similarity matrices: a low-order matrix and a high-order matrix. Then, we non-linearly fuse these four matrices together as a single matrix in a hierarchical manner, thus capturing the common and complementary information of both human and macaque infants. Finally, based on the fused similarity matrix, we apply the spectral clustering to derive the joint parcellation maps. By applying our method to 210 longitudinal human infant MRI scans and 140 longitudinal macaque infant MRI scans, we generate the first biologically-meaningful joint parcellation maps of human and macaque infants.

KW - Joint parcellation

KW - Macaque infants

UR - http://www.scopus.com/inward/record.url?scp=85073911633&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85073911633&partnerID=8YFLogxK

U2 - 10.1109/ISBI.2019.8759379

DO - 10.1109/ISBI.2019.8759379

M3 - Conference contribution

AN - SCOPUS:85073911633

T3 - Proceedings - International Symposium on Biomedical Imaging

SP - 422

EP - 425

BT - ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging

PB - IEEE Computer Society

ER -