Functional individual variability development of the neonatal brain
Individual variability in cognition and behavior results from the differences in brain structure and function that have already emerged before birth. However, little is known about individual variability in brain functional architecture at local level in neonates which is of great significance to ex...
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Veröffentlicht in: | Brain Structure and Function 2022-07, Vol.227 (6), p.2181-2190 |
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creator | Gao, Wenjian Huang, Ziyi Ou, Wenfei Tang, Xiaoqian Lv, Wanying Nie, Jingxin |
description | Individual variability in cognition and behavior results from the differences in brain structure and function that have already emerged before birth. However, little is known about individual variability in brain functional architecture at local level in neonates which is of great significance to explore owing to largely undeveloped long-range functional connectivity and segregated functions in early brain development. To address this, resting-state fMRI data of 163 neonates ranged from 32 to 45 postconceptional weeks (PCW) were used in this study, and various functional features including functional parcellation similarity, local brain activity and local functional connectivity were used to characterize individual functional variability. We observed significantly higher local functional individual variability in superior parietal, sensorimotor, and visual cortex, and lower variability in the frontal, insula and cingulate cortex relative to other regions within each hemisphere. The mean local functional individual variability significantly increased with age, and the age effect was found larger in brain regions such as the occipital, temporal, prefrontal and parietal cortex. Our findings promote the understanding of brain plasticity and regional differential maturation in the early stage. |
doi_str_mv | 10.1007/s00429-022-02516-8 |
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However, little is known about individual variability in brain functional architecture at local level in neonates which is of great significance to explore owing to largely undeveloped long-range functional connectivity and segregated functions in early brain development. To address this, resting-state fMRI data of 163 neonates ranged from 32 to 45 postconceptional weeks (PCW) were used in this study, and various functional features including functional parcellation similarity, local brain activity and local functional connectivity were used to characterize individual functional variability. We observed significantly higher local functional individual variability in superior parietal, sensorimotor, and visual cortex, and lower variability in the frontal, insula and cingulate cortex relative to other regions within each hemisphere. The mean local functional individual variability significantly increased with age, and the age effect was found larger in brain regions such as the occipital, temporal, prefrontal and parietal cortex. Our findings promote the understanding of brain plasticity and regional differential maturation in the early stage.</description><identifier>ISSN: 1863-2653</identifier><identifier>EISSN: 1863-2661</identifier><identifier>EISSN: 0340-2061</identifier><identifier>DOI: 10.1007/s00429-022-02516-8</identifier><identifier>PMID: 35668328</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Biomedical and Life Sciences ; Biomedicine ; Brain ; Brain architecture ; Brain mapping ; Cell Biology ; Cognition ; Cognition & reasoning ; Cortex (cingulate) ; Cortex (frontal) ; Cortex (parietal) ; Functional anatomy ; Functional magnetic resonance imaging ; Gestational age ; Laboratories ; Neonates ; Neural networks ; Neurology ; Neuroplasticity ; Neurosciences ; Newborn babies ; Original Article ; Prefrontal cortex ; Somatosensory cortex ; Structure-function relationships ; Temporal lobe ; Time series ; Variability ; Visual cortex</subject><ispartof>Brain Structure and Function, 2022-07, Vol.227 (6), p.2181-2190</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022</rights><rights>2022. 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However, little is known about individual variability in brain functional architecture at local level in neonates which is of great significance to explore owing to largely undeveloped long-range functional connectivity and segregated functions in early brain development. To address this, resting-state fMRI data of 163 neonates ranged from 32 to 45 postconceptional weeks (PCW) were used in this study, and various functional features including functional parcellation similarity, local brain activity and local functional connectivity were used to characterize individual functional variability. We observed significantly higher local functional individual variability in superior parietal, sensorimotor, and visual cortex, and lower variability in the frontal, insula and cingulate cortex relative to other regions within each hemisphere. 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Huang, Ziyi ; Ou, Wenfei ; Tang, Xiaoqian ; Lv, Wanying ; Nie, Jingxin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c256t-5de24d2eea68c8813485c21b58f4b0d38edf4555fc9600544b53415093cd20f83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Brain</topic><topic>Brain architecture</topic><topic>Brain mapping</topic><topic>Cell Biology</topic><topic>Cognition</topic><topic>Cognition & reasoning</topic><topic>Cortex (cingulate)</topic><topic>Cortex (frontal)</topic><topic>Cortex (parietal)</topic><topic>Functional anatomy</topic><topic>Functional magnetic resonance imaging</topic><topic>Gestational age</topic><topic>Laboratories</topic><topic>Neonates</topic><topic>Neural networks</topic><topic>Neurology</topic><topic>Neuroplasticity</topic><topic>Neurosciences</topic><topic>Newborn babies</topic><topic>Original Article</topic><topic>Prefrontal cortex</topic><topic>Somatosensory cortex</topic><topic>Structure-function relationships</topic><topic>Temporal lobe</topic><topic>Time series</topic><topic>Variability</topic><topic>Visual cortex</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gao, Wenjian</creatorcontrib><creatorcontrib>Huang, Ziyi</creatorcontrib><creatorcontrib>Ou, Wenfei</creatorcontrib><creatorcontrib>Tang, Xiaoqian</creatorcontrib><creatorcontrib>Lv, Wanying</creatorcontrib><creatorcontrib>Nie, Jingxin</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Brain Structure and Function</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gao, Wenjian</au><au>Huang, Ziyi</au><au>Ou, Wenfei</au><au>Tang, Xiaoqian</au><au>Lv, Wanying</au><au>Nie, Jingxin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Functional individual variability development of the neonatal brain</atitle><jtitle>Brain Structure and Function</jtitle><stitle>Brain Struct Funct</stitle><addtitle>Brain Struct Funct</addtitle><date>2022-07-01</date><risdate>2022</risdate><volume>227</volume><issue>6</issue><spage>2181</spage><epage>2190</epage><pages>2181-2190</pages><issn>1863-2653</issn><eissn>1863-2661</eissn><eissn>0340-2061</eissn><abstract>Individual variability in cognition and behavior results from the differences in brain structure and function that have already emerged before birth. 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subjects | Biomedical and Life Sciences Biomedicine Brain Brain architecture Brain mapping Cell Biology Cognition Cognition & reasoning Cortex (cingulate) Cortex (frontal) Cortex (parietal) Functional anatomy Functional magnetic resonance imaging Gestational age Laboratories Neonates Neural networks Neurology Neuroplasticity Neurosciences Newborn babies Original Article Prefrontal cortex Somatosensory cortex Structure-function relationships Temporal lobe Time series Variability Visual cortex |
title | Functional individual variability development of the neonatal brain |
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