The Developing Human Connectome Project: typical and disrupted perinatal functional connectivity

Author:

Eyre Michael1ORCID,Fitzgibbon Sean P2,Ciarrusta Judit13ORCID,Cordero-Grande Lucilio1,Price Anthony N1,Poppe Tanya1,Schuh Andreas4ORCID,Hughes Emer1,O’Keeffe Camilla1,Brandon Jakki1,Cromb Daniel1,Vecchiato Katy13,Andersson Jesper2,Duff Eugene P25,Counsell Serena J1,Smith Stephen M2,Rueckert Daniel4,Hajnal Joseph V1,Arichi Tomoki16ORCID,O’Muircheartaigh Jonathan13ORCID,Batalle Dafnis13ORCID,Edwards A David1

Affiliation:

1. Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EH, UK

2. Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford OX3 9DU, UK

3. Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, UK

4. Biomedical Image Analysis Group, Imperial College London, London SW7 2AZ, UK

5. Department of Paediatrics, University of Oxford, Oxford OX3 9DU, UK

6. Department of Bioengineering, Imperial College London, London SW7 2AZ, UK

Abstract

Abstract The Developing Human Connectome Project is an Open Science project that provides the first large sample of neonatal functional MRI data with high temporal and spatial resolution. These data enable mapping of intrinsic functional connectivity between spatially distributed brain regions under normal and adverse perinatal circumstances, offering a framework to study the ontogeny of large-scale brain organization in humans. Here, we characterize in unprecedented detail the maturation and integrity of resting state networks (RSNs) at term-equivalent age in 337 infants (including 65 born preterm). First, we applied group independent component analysis to define 11 RSNs in term-born infants scanned at 43.5–44.5 weeks postmenstrual age (PMA). Adult-like topography was observed in RSNs encompassing primary sensorimotor, visual and auditory cortices. Among six higher-order, association RSNs, analogues of the adult networks for language and ocular control were identified, but a complete default mode network precursor was not. Next, we regressed the subject-level datasets from an independent cohort of infants scanned at 37–43.5 weeks PMA against the group-level RSNs to test for the effects of age, sex and preterm birth. Brain mapping in term-born infants revealed areas of positive association with age across four of six association RSNs, indicating active maturation in functional connectivity from 37 to 43.5 weeks PMA. Female infants showed increased connectivity in inferotemporal regions of the visual association network. Preterm birth was associated with striking impairments of functional connectivity across all RSNs in a dose-dependent manner; conversely, connectivity of the superior parietal lobules within the lateral motor network was abnormally increased in preterm infants, suggesting a possible mechanism for specific difficulties such as developmental coordination disorder, which occur frequently in preterm children. Overall, we found a robust, modular, symmetrical functional brain organization at normal term age. A complete set of adult-equivalent primary RSNs is already instated, alongside emerging connectivity in immature association RSNs, consistent with a primary-to-higher order ontogenetic sequence of brain development. The early developmental disruption imposed by preterm birth is associated with extensive alterations in functional connectivity.

Funder

European Research Council

European Union Seventh Framework Programme

ERC

EPSRC

Medical Research Council

European Innovative Medicines Initiative Joint Undertaking

European Union’s Seventh Framework Programme

Clinician Scientist Fellowship

Wellcome Trust

Royal Society

Wellcome Trust Seed Award in Science

NHS

NIHR

Publisher

Oxford University Press (OUP)

Subject

Neurology (clinical)

Reference119 articles.

1. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI;Biswal;Magn Reson Med,1995

2. Consistent resting-state networks across healthy subjects;Damoiseaux;Proc Natl Acad Sci U S A,2006

3. Frequencies contributing to functional connectivity in the cerebral cortex in “resting-state” data;Cordes;AJNR Am J Neuroradiol,2001

4. fMRI resting state networks define distinct modes of long-distance interactions in the human brain;De Luca;Neuroimage,2006

5. A default mode of brain function;Raichle;Proc Natl Acad Sci U S A,2001

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3