Literature DB >> 14523961

Normative pediatric brain data for spatial normalization and segmentation differs from standard adult data.

M Wilke1, V J Schmithorst, S K Holland.   

Abstract

Spatial normalization and morphological studies of pediatric brain imaging data based on adult reference data may not be appropriate due to the developmental differences between the two populations. In this study, we set out to create pediatric templates and a priori brain tissue data from a large collection of normal, healthy children to compare it to standard adult data available within a widely used imaging software solution (SPM99, WDOCN, London, UK). Employing four different processing strategies, we found considerable differences between our pediatric data and the adult data. We conclude that caution should be used when analyzing pediatric brain data using adult a priori information. To assess the effects of using pediatric a priori brain information, the data obtained in this study is available to the scientific community from our website (www.irc.cchmc.org). Copyright 2003 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2003        PMID: 14523961     DOI: 10.1002/mrm.10606

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  66 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

Review 2.  Shifting from region of interest (ROI) to voxel-based analysis in human brain mapping.

Authors:  Loukas G Astrakas; Maria I Argyropoulou
Journal:  Pediatr Radiol       Date:  2010-05-13

3.  Aberrant striatal functional connectivity in children with autism.

Authors:  Adriana Di Martino; Clare Kelly; Rebecca Grzadzinski; Xi-Nian Zuo; Maarten Mennes; Maria Angeles Mairena; Catherine Lord; F Xavier Castellanos; Michael P Milham
Journal:  Biol Psychiatry       Date:  2010-12-31       Impact factor: 13.382

4.  A New MRI-Based Pediatric Subcortical Segmentation Technique (PSST).

Authors:  Wai Yen Loh; Alan Connelly; Jeanie L Y Cheong; Alicia J Spittle; Jian Chen; Christopher Adamson; Zohra M Ahmadzai; Lillian Gabra Fam; Sandra Rees; Katherine J Lee; Lex W Doyle; Peter J Anderson; Deanne K Thompson
Journal:  Neuroinformatics       Date:  2016-01

5.  Long-term neurobiological consequences of early postnatal hCMV-infection in former preterms: a functional MRI study.

Authors:  Maik Dorn; Karen Lidzba; Andrea Bevot; Rangmar Goelz; Till-Karsten Hauser; Marko Wilke
Journal:  Hum Brain Mapp       Date:  2013-09-11       Impact factor: 5.038

6.  Maternal cerebellar gray matter volume is associated with daughters' psychotic experience.

Authors:  Naoki Hashimoto; Timothy I Michaels; Roeland Hancock; Ichiro Kusumi; Fumiko Hoeft
Journal:  Psychiatry Clin Neurosci       Date:  2020-05-11       Impact factor: 5.188

7.  Brain anatomy differences in childhood stuttering.

Authors:  Soo-Eun Chang; Kirk I Erickson; Nicoline G Ambrose; Mark A Hasegawa-Johnson; Christy L Ludlow
Journal:  Neuroimage       Date:  2007-10-13       Impact factor: 6.556

8.  What is where and why it is important.

Authors:  Arthur W Toga; Paul M Thompson
Journal:  Neuroimage       Date:  2007-02-21       Impact factor: 6.556

9.  Reduced frontal white matter volume in long-term childhood leukemia survivors: a voxel-based morphometry study.

Authors:  M E Carey; M W Haut; S L Reminger; J J Hutter; R Theilmann; K L Kaemingk
Journal:  AJNR Am J Neuroradiol       Date:  2008-01-09       Impact factor: 3.825

10.  Functional neuroanatomy of arithmetic and word reading and its relationship to age.

Authors:  Tanya M Evans; D Lynn Flowers; Megan M Luetje; Eileen Napoliello; Guinevere F Eden
Journal:  Neuroimage       Date:  2016-08-23       Impact factor: 6.556

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.