The Human Connectome Project's neuroimaging approach

Glasser, Matthew F.; Smith, Stephen M.; Marcus, Daniel S.; Andersson, Jesper; Auerbach, Edward J.; Behrens, Timothy E.J.; Coalson, Timothy S.; Harms, Michael P.; Jenkinson, Mark; Moeller, Steen; Robinson, Emma C.; Sotiropoulos, Stamatios N.; Xu, Junqian; Yacoub, Essa; Uğurbil, Kâmil; Essen, David C. Van

doi:10.1038/nn.4361

Cited by 958 publications

(935 citation statements)

References 116 publications

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“…Studies have shown that surface-constrained analyses: improve the localisation of functional units along the cortical surface Glasser et al, 2013Glasser et al, , 2016bVan Essen et al, 2012); reduce the mixing of white and grey matter fMRI signals during smoothing (Glasser et al, 2013); and increase the alignment of functional areas during registration (Durrleman et al, 2009;Fischl et al, 1999c;Lombaert et al, 2013;Robinson et al, 2014;Wright et al, 2015;Yeo et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction

et al. 2018

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The Developing Human Connectome Project (dHCP) seeks to create the first 4-dimensional connectome of early life. Understanding this connectome in detail may provide insights into normal as well as abnormal patterns of brain development. Following established best practices adopted by the WU-MINN Human Connectome Project (HCP), and pioneered by FreeSurfer, the project utilises cortical surface-based processing pipelines. In this paper, we propose a fully automated processing pipeline for the structural Magnetic Resonance Imaging (MRI) of the developing neonatal brain. This proposed pipeline * Corresponding author Email address: a.makropoulos11@imperial.ac.uk (Antonios Makropoulos) 1 These authors contributed equally Preprint submitted to NeuroImage January 7, 2018peer-reviewed) is the author/funder. All rights reserved. No reuse allowed without permission.The copyright holder for this preprint (which was not . http://dx.doi.org/10.1101/125526 doi: bioRxiv preprint first posted online Apr. 10, 2017; consists of a refined framework for cortical and sub-cortical volume segmentation, cortical surface extraction, and cortical surface inflation, which has been specifically designed to address considerable differences between adult and neonatal brains, as imaged using MRI. Using the proposed pipeline our results demonstrate that images collected from 465 subjects ranging from 28 to 45 weeks post-menstrual age (PMA) can be processed fully automatically; generating cortical surface models that are topologically correct, and correspond well with manual evaluations of tissue boundaries in 85% of cases. Results improve on state-of-the-art neonatal tissue segmentation models and significant errors were found in only 2% of cases, where these corresponded to subjects with high motion. Downstream, these surfaces will enhance comparisons of functional and diffusion MRI datasets, supporting the modelling of emerging patterns of brain connectivity.

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Section: Discussionmentioning

confidence: 99%

The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction

et al. 2018

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“…Important topics include false positives, false negatives, test-retest reliability and acquisition protocols (de Reus and van den Heuvel, 2013;Eklund et al, 2016;Glasser et al, 2016;Zuo and Xing, 2014). However, an in-depth discussion of these methodological considerations falls beyond the scope of this review.…”

Section: Methodsological Considerationsmentioning

confidence: 99%

The emergence of functional architecture during early brain development

2017

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Early human brain development constitutes a sequence of intricate processes resulting in the ontogeny of functionally operative neural circuits. Developmental trajectories of early brain network formation are genetically programmed and can be modified by epigenetic and environmental influences. Such alterations may exert profound effects on neurodevelopment, potentially persisting throughout the lifespan. This review focuses on the critical period of fetal and early postnatal brain development. Here we collate findings from neuroimaging studies, with a particular focus on functional MRI research that interrogated early brain network development in both health and high-risk or disease states. First, we will provide an overview of the developmental processes that take place from the embryonic period through early infancy in order to contextualize brain network formation. Second, functional brain network development in the typically developing brain will be discussed. Third, we will touch on prenatal and perinatal risk factors that may interfere with the trajectories of functional brain wiring, including prenatal substance exposure, maternal mental illness and preterm

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“…In many ways still the gold standard, it is hard to scale to multiple scans (especially for modern studies running into the thousands of participants) 5,6 and multiple brain regions. Thus, the primary use of manual volumetry is in smaller studies with a single, focused hypothesis, as well as for the creation of datasets to be incorporated into automatic segmentation algorithms.…”

Section: Macro-and Meso-scopic Neuroanatomymentioning

confidence: 99%

Studying neuroanatomy using MRI

et al. 2017

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The study of neuroanatomy using imaging enables key insights into how our brains function, are shaped by genes and environment, and change with development, aging, and disease. Developments in MRI acquisition, image processing, and data modelling have been key to these advances. However, MRI provides an indirect measurement of the biological signals we aim to investigate. Thus, artifacts and key questions of correct interpretation can confound the readouts provided by anatomical MRI. In this review we provide an overview of the methods for measuring macro-and mesoscopic structure and inferring microstructural properties; we also describe key artefacts and confounds that can lead to incorrect conclusions. Ultimately, we believe that, though methods need to improve and caution is required in its interpretation, structural MRI continues to have great promise in furthering our understanding of how the brain works.

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The Human Connectome Project's neuroimaging approach

Cited by 958 publications

References 116 publications

The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction

The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction

The emergence of functional architecture during early brain development

Studying neuroanatomy using MRI

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