Mapping the evolution of regional brain network efficiency and its association with cognitive abilities during the first twenty-eight months of life
Human brain undergoes rapid growth during the first few years of life. While previous research has employed graph theory to study early brain development, it has mostly focused on the topological attributes of the whole brain. However, examining regional graph-theory features may provide unique insi...
Main Authors: | , , , , , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Elsevier
2023-10-01
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Series: | Developmental Cognitive Neuroscience |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1878929323000890 |
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author | Weixiong Jiang Zhen Zhou Guoshi Li Weiyan Yin Zhengwang Wu Li Wang Maryam Ghanbari Gang Li Pew-Thian Yap Brittany R. Howell Martin A. Styner Essa Yacoub Heather Hazlett John H. Gilmore J. Keith Smith Kamil Ugurbil Jed T. Elison Han Zhang Dinggang Shen Weili Lin |
author_facet | Weixiong Jiang Zhen Zhou Guoshi Li Weiyan Yin Zhengwang Wu Li Wang Maryam Ghanbari Gang Li Pew-Thian Yap Brittany R. Howell Martin A. Styner Essa Yacoub Heather Hazlett John H. Gilmore J. Keith Smith Kamil Ugurbil Jed T. Elison Han Zhang Dinggang Shen Weili Lin |
author_sort | Weixiong Jiang |
collection | DOAJ |
description | Human brain undergoes rapid growth during the first few years of life. While previous research has employed graph theory to study early brain development, it has mostly focused on the topological attributes of the whole brain. However, examining regional graph-theory features may provide unique insights into the development of cognitive abilities. Utilizing a large and longitudinal rsfMRI dataset from the UNC/UMN Baby Connectome Project, we investigated the developmental trajectories of regional efficiency and evaluated the relationships between these changes and cognitive abilities using Mullen Scales of Early Learning during the first twenty-eight months of life. Our results revealed a complex and spatiotemporally heterogeneous development pattern of regional global and local efficiency during this age period. Furthermore, we found that the trajectories of the regional global efficiency at the left temporal occipital fusiform and bilateral occipital fusiform gyri were positively associated with cognitive abilities, including visual reception, expressive language, receptive language, and early learning composite scores (P < 0.05, FDR corrected). However, these associations were weakened with age. These findings offered new insights into the regional developmental features of brain topologies and their associations with cognition and provided evidence of ongoing optimization of brain networks at both whole-brain and regional levels. |
first_indexed | 2024-03-11T21:14:29Z |
format | Article |
id | doaj.art-04cfaf29e7a94f2b8ec2f8eea06f4b60 |
institution | Directory Open Access Journal |
issn | 1878-9293 |
language | English |
last_indexed | 2024-03-11T21:14:29Z |
publishDate | 2023-10-01 |
publisher | Elsevier |
record_format | Article |
series | Developmental Cognitive Neuroscience |
spelling | doaj.art-04cfaf29e7a94f2b8ec2f8eea06f4b602023-09-29T04:43:58ZengElsevierDevelopmental Cognitive Neuroscience1878-92932023-10-0163101284Mapping the evolution of regional brain network efficiency and its association with cognitive abilities during the first twenty-eight months of lifeWeixiong Jiang0Zhen Zhou1Guoshi Li2Weiyan Yin3Zhengwang Wu4Li Wang5Maryam Ghanbari6Gang Li7Pew-Thian Yap8Brittany R. Howell9Martin A. Styner10Essa Yacoub11Heather Hazlett12John H. Gilmore13J. Keith Smith14Kamil Ugurbil15Jed T. Elison16Han Zhang17Dinggang Shen18Weili Lin19Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USADepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USADepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USADepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USADepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USADepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USADepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USADepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USADepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USAInstitute of Child Development, University of Minnesota, USADepartment of Psychiatry, University of North Carolina at Chapel Hill, USACenter for Magnetic Resonance Research, University of Minnesota, USADepartment of Psychiatry, University of North Carolina at Chapel Hill, USA; Department of Radiology, University of North Carolina at Chapel Hill, USADepartment of Psychiatry, University of North Carolina at Chapel Hill, USADepartment of Radiology, University of North Carolina at Chapel Hill, USACenter for Magnetic Resonance Research, University of Minnesota, USAInstitute of Child Development, University of Minnesota, USA; Department of Pediatrics, University of Minnesota, USABiomedical Engineering, Shanghai Tech University, Shanghai, ChinaBiomedical Engineering, Shanghai Tech University, Shanghai, China; Shanghai Clinical Research and Trial Center, Shanghai 201210, ChinaDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA; Correspondence to: Department of Radiology and BRIC CB#7513, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7513, USA.Human brain undergoes rapid growth during the first few years of life. While previous research has employed graph theory to study early brain development, it has mostly focused on the topological attributes of the whole brain. However, examining regional graph-theory features may provide unique insights into the development of cognitive abilities. Utilizing a large and longitudinal rsfMRI dataset from the UNC/UMN Baby Connectome Project, we investigated the developmental trajectories of regional efficiency and evaluated the relationships between these changes and cognitive abilities using Mullen Scales of Early Learning during the first twenty-eight months of life. Our results revealed a complex and spatiotemporally heterogeneous development pattern of regional global and local efficiency during this age period. Furthermore, we found that the trajectories of the regional global efficiency at the left temporal occipital fusiform and bilateral occipital fusiform gyri were positively associated with cognitive abilities, including visual reception, expressive language, receptive language, and early learning composite scores (P < 0.05, FDR corrected). However, these associations were weakened with age. These findings offered new insights into the regional developmental features of brain topologies and their associations with cognition and provided evidence of ongoing optimization of brain networks at both whole-brain and regional levels.http://www.sciencedirect.com/science/article/pii/S1878929323000890LongitudinalDevelopmentBrain networkGraph theoryRsfMRICognitive ability |
spellingShingle | Weixiong Jiang Zhen Zhou Guoshi Li Weiyan Yin Zhengwang Wu Li Wang Maryam Ghanbari Gang Li Pew-Thian Yap Brittany R. Howell Martin A. Styner Essa Yacoub Heather Hazlett John H. Gilmore J. Keith Smith Kamil Ugurbil Jed T. Elison Han Zhang Dinggang Shen Weili Lin Mapping the evolution of regional brain network efficiency and its association with cognitive abilities during the first twenty-eight months of life Developmental Cognitive Neuroscience Longitudinal Development Brain network Graph theory RsfMRI Cognitive ability |
title | Mapping the evolution of regional brain network efficiency and its association with cognitive abilities during the first twenty-eight months of life |
title_full | Mapping the evolution of regional brain network efficiency and its association with cognitive abilities during the first twenty-eight months of life |
title_fullStr | Mapping the evolution of regional brain network efficiency and its association with cognitive abilities during the first twenty-eight months of life |
title_full_unstemmed | Mapping the evolution of regional brain network efficiency and its association with cognitive abilities during the first twenty-eight months of life |
title_short | Mapping the evolution of regional brain network efficiency and its association with cognitive abilities during the first twenty-eight months of life |
title_sort | mapping the evolution of regional brain network efficiency and its association with cognitive abilities during the first twenty eight months of life |
topic | Longitudinal Development Brain network Graph theory RsfMRI Cognitive ability |
url | http://www.sciencedirect.com/science/article/pii/S1878929323000890 |
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