Literature DB >> 29625234

Baby brain atlases.

Kenichi Oishi1, Linda Chang2, Hao Huang3.   

Abstract

The baby brain is constantly changing due to its active neurodevelopment, and research into the baby brain is one of the frontiers in neuroscience. To help guide neuroscientists and clinicians in their investigation of this frontier, maps of the baby brain, which contain a priori knowledge about neurodevelopment and anatomy, are essential. "Brain atlas" in this review refers to a 3D-brain image with a set of reference labels, such as a parcellation map, as the anatomical reference that guides the mapping of the brain. Recent advancements in scanners, sequences, and motion control methodologies enable the creation of various types of high-resolution baby brain atlases. What is becoming clear is that one atlas is not sufficient to characterize the existing knowledge about the anatomical variations, disease-related anatomical alterations, and the variations in time-dependent changes. In this review, the types and roles of the human baby brain MRI atlases that are currently available are described and discussed, and future directions in the field of developmental neuroscience and its clinical applications are proposed. The potential use of disease-based atlases to characterize clinically relevant information, such as clinical labels, in addition to conventional anatomical labels, is also discussed.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain atlas; Early development; Infant; Neonate; Prenatal exposure; Preterm birth

Mesh:

Year:  2018        PMID: 29625234      PMCID: PMC6170732          DOI: 10.1016/j.neuroimage.2018.04.003

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  170 in total

1.  Multi-contrast human neonatal brain atlas: application to normal neonate development analysis.

Authors:  Kenichi Oishi; Susumu Mori; Pamela K Donohue; Thomas Ernst; Lynn Anderson; Steven Buchthal; Andreia Faria; Hangyi Jiang; Xin Li; Michael I Miller; Peter C M van Zijl; Linda Chang
Journal:  Neuroimage       Date:  2011-01-26       Impact factor: 6.556

2.  Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template.

Authors:  Susumu Mori; Kenichi Oishi; Hangyi Jiang; Li Jiang; Xin Li; Kazi Akhter; Kegang Hua; Andreia V Faria; Asif Mahmood; Roger Woods; Arthur W Toga; G Bruce Pike; Pedro Rosa Neto; Alan Evans; Jiangyang Zhang; Hao Huang; Michael I Miller; Peter van Zijl; John Mazziotta
Journal:  Neuroimage       Date:  2008-01-03       Impact factor: 6.556

3.  Multi-structure network shape analysis via normal surface momentum maps.

Authors:  Anqi Qiu; Michael I Miller
Journal:  Neuroimage       Date:  2008-05-10       Impact factor: 6.556

4.  Delayed stabilization and individualization in connectome development are related to psychiatric disorders.

Authors:  Tobias Kaufmann; Dag Alnæs; Nhat Trung Doan; Christine Lycke Brandt; Ole A Andreassen; Lars T Westlye
Journal:  Nat Neurosci       Date:  2017-02-20       Impact factor: 24.884

Review 5.  Advanced neonatal NeuroMRI.

Authors:  Kenichi Oishi; Andreia V Faria; Susumu Mori
Journal:  Magn Reson Imaging Clin N Am       Date:  2012-02       Impact factor: 2.266

6.  White matter abnormalities in patients with obsessive-compulsive disorder and their first-degree relatives.

Authors:  Lara Menzies; Guy B Williams; Samuel R Chamberlain; Cinly Ooi; Naomi Fineberg; John Suckling; Barbara J Sahakian; Trevor W Robbins; Ed T Bullmore
Journal:  Am J Psychiatry       Date:  2008-06-02       Impact factor: 18.112

7.  Infant brain atlases from neonates to 1- and 2-year-olds.

Authors:  Feng Shi; Pew-Thian Yap; Guorong Wu; Hongjun Jia; John H Gilmore; Weili Lin; Dinggang Shen
Journal:  PLoS One       Date:  2011-04-14       Impact factor: 3.240

8.  Content-based image retrieval for brain MRI: an image-searching engine and population-based analysis to utilize past clinical data for future diagnosis.

Authors:  Andreia V Faria; Kenichi Oishi; Shoko Yoshida; Argye Hillis; Michael I Miller; Susumu Mori
Journal:  Neuroimage Clin       Date:  2015-01-15       Impact factor: 4.881

9.  Assessment of structural connectivity in the preterm brain at term equivalent age using diffusion MRI and T2 relaxometry: a network-based analysis.

Authors:  Kerstin Pannek; Xanthy Hatzigeorgiou; Paul B Colditz; Stephen Rose
Journal:  PLoS One       Date:  2013-08-07       Impact factor: 3.240

10.  Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity.

Authors:  Emily S Finn; Xilin Shen; Dustin Scheinost; Monica D Rosenberg; Jessica Huang; Marvin M Chun; Xenophon Papademetris; R Todd Constable
Journal:  Nat Neurosci       Date:  2015-10-12       Impact factor: 24.884

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  15 in total

1.  Construction of Spatiotemporal Infant Cortical Surface Functional Templates.

Authors:  Ying Huang; Fan Wang; Zhengwang Wu; Zengsi Chen; Han Zhang; Li Wang; Weili Lin; Dinggang Shen; Gang Li
Journal:  Med Image Comput Comput Assist Interv       Date:  2020-09-29

2.  A Multi-Atlas Label Fusion Tool for Neonatal Brain MRI Parcellation and Quantification.

Authors:  Yoshihisa Otsuka; Linda Chang; Yukako Kawasaki; Dan Wu; Can Ceritoglu; Kumiko Oishi; Thomas Ernst; Michael Miller; Susumu Mori; Kenichi Oishi
Journal:  J Neuroimaging       Date:  2019-04-29       Impact factor: 2.486

3.  Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks.

Authors:  Fenqiang Zhao; Zhengwang Wu; Li Wang; Weili Lin; Shunren Xia; Gang Li
Journal:  Med Image Comput Comput Assist Interv       Date:  2021-09-21

4.  Mapping developmental regionalization and patterns of cortical surface area from 29 post-menstrual weeks to 2 years of age.

Authors:  Ying Huang; Zhengwang Wu; Fan Wang; Dan Hu; Tengfei Li; Lei Guo; Li Wang; Weili Lin; Gang Li
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-08       Impact factor: 12.779

Review 5.  A Role for Data Science in Precision Nutrition and Early Brain Development.

Authors:  Sarah U Morton; Brian J Leyshon; Eleonora Tamilia; Rutvi Vyas; Michaela Sisitsky; Imran Ladha; John B Lasekan; Matthew J Kuchan; P Ellen Grant; Yangming Ou
Journal:  Front Psychiatry       Date:  2022-06-23       Impact factor: 5.435

6.  Multi-Channel 4D Parametrized Atlas of Macro- and Microstructural Neonatal Brain Development.

Authors:  Alena Uus; Irina Grigorescu; Maximilian Pietsch; Dafnis Batalle; Daan Christiaens; Emer Hughes; Jana Hutter; Lucilio Cordero Grande; Anthony N Price; Jacques-Donald Tournier; Mary A Rutherford; Serena J Counsell; Joseph V Hajnal; A David Edwards; Maria Deprez
Journal:  Front Neurosci       Date:  2021-06-16       Impact factor: 4.677

Review 7.  (Un)common space in infant neuroimaging studies: A systematic review of infant templates.

Authors:  Alexander J Dufford; C Alice Hahn; Hannah Peterson; Silvia Gini; Saloni Mehta; Alexis Alfano; Dustin Scheinost
Journal:  Hum Brain Mapp       Date:  2022-03-09       Impact factor: 5.399

Review 8.  Evolution of Human Brain Atlases in Terms of Content, Applications, Functionality, and Availability.

Authors:  Wieslaw L Nowinski
Journal:  Neuroinformatics       Date:  2021-01

9.  A framework for multi-component analysis of diffusion MRI data over the neonatal period.

Authors:  Maximilian Pietsch; Daan Christiaens; Jana Hutter; Lucilio Cordero-Grande; Anthony N Price; Emer Hughes; A David Edwards; Joseph V Hajnal; Serena J Counsell; J-Donald Tournier
Journal:  Neuroimage       Date:  2018-11-02       Impact factor: 6.556

10.  Modelling brain development to detect white matter injury in term and preterm born neonates.

Authors:  Jonathan O'Muircheartaigh; Emma C Robinson; Maximillian Pietsch; Thomas Wolfers; Paul Aljabar; Lucilio Cordero Grande; Rui P A G Teixeira; Jelena Bozek; Andreas Schuh; Antonios Makropoulos; Dafnis Batalle; Jana Hutter; Katy Vecchiato; Johannes K Steinweg; Sean Fitzgibbon; Emer Hughes; Anthony N Price; Andre Marquand; Daniel Reuckert; Mary Rutherford; Joseph V Hajnal; Serena J Counsell; A David Edwards
Journal:  Brain       Date:  2020-02-01       Impact factor: 13.501

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