Literature DB >> 20621657

Evaluating the validity of volume-based and surface-based brain image registration for developmental cognitive neuroscience studies in children 4 to 11 years of age.

Satrajit S Ghosh1, Sita Kakunoori, Jean Augustinack, Alfonso Nieto-Castanon, Ioulia Kovelman, Nadine Gaab, Joanna A Christodoulou, Christina Triantafyllou, John D E Gabrieli, Bruce Fischl.   

Abstract

Understanding the neurophysiology of human cognitive development relies on methods that enable accurate comparison of structural and functional neuroimaging data across brains from people of different ages. A fundamental question is whether the substantial brain growth and related changes in brain morphology that occur in early childhood permit valid comparisons of brain structure and function across ages. Here we investigated whether valid comparisons can be made in children from ages 4 to 11, and whether there are differences in the use of volume-based versus surface-based registration approaches for aligning structural landmarks across these ages. Regions corresponding to the calcarine sulcus, central sulcus, and Sylvian fissure in both the hemispheres were manually labeled on T1-weighted structural magnetic resonance images from 31 children ranging in age from 4.2 to 11.2years old. Quantitative measures of shape similarity and volumetric-overlap of these manually labeled regions were calculated when brains were aligned using a 12-parameter affine transform, SPM's nonlinear normalization, a diffeomorphic registration (ANTS), and FreeSurfer's surface-based registration. Registration error for normalization into a common reference framework across participants in this age range was lower than commonly used functional imaging resolutions. Surface-based registration provided significantly better alignment of cortical landmarks than volume-based registration. In addition, registering children's brains to a common space does not result in an age-associated bias between older and younger children, making it feasible to accurately compare structural properties and patterns of brain activation in children from ages 4 to 11. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20621657      PMCID: PMC2914629          DOI: 10.1016/j.neuroimage.2010.05.075

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


  44 in total

1.  Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

Authors:  Bruce Fischl; David H Salat; Evelina Busa; Marilyn Albert; Megan Dieterich; Christian Haselgrove; Andre van der Kouwe; Ron Killiany; David Kennedy; Shuna Klaveness; Albert Montillo; Nikos Makris; Bruce Rosen; Anders M Dale
Journal:  Neuron       Date:  2002-01-31       Impact factor: 17.173

2.  Improved optimization for the robust and accurate linear registration and motion correction of brain images.

Authors:  Mark Jenkinson; Peter Bannister; Michael Brady; Stephen Smith
Journal:  Neuroimage       Date:  2002-10       Impact factor: 6.556

3.  Geometrically accurate topology-correction of cortical surfaces using nonseparating loops.

Authors:  Florent Ségonne; Jenni Pacheco; Bruce Fischl
Journal:  IEEE Trans Med Imaging       Date:  2007-04       Impact factor: 10.048

4.  Image registration based on boundary mapping.

Authors:  C Davatzikos; J L Prince; R N Bryan
Journal:  IEEE Trans Med Imaging       Date:  1996       Impact factor: 10.048

5.  Region of interest based analysis of functional imaging data.

Authors:  Alfonso Nieto-Castanon; Satrajit S Ghosh; Jason A Tourville; Frank H Guenther
Journal:  Neuroimage       Date:  2003-08       Impact factor: 6.556

6.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data.

Authors:  J G Sled; A P Zijdenbos; A C Evans
Journal:  IEEE Trans Med Imaging       Date:  1998-02       Impact factor: 10.048

7.  Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system.

Authors:  B Fischl; M I Sereno; A M Dale
Journal:  Neuroimage       Date:  1999-02       Impact factor: 6.556

8.  Lagrangian frame diffeomorphic image registration: Morphometric comparison of human and chimpanzee cortex.

Authors:  Brian B Avants; P Thomas Schoenemann; James C Gee
Journal:  Med Image Anal       Date:  2005-06-03       Impact factor: 8.545

Review 9.  Mapping brain maturation.

Authors:  Arthur W Toga; Paul M Thompson; Elizabeth R Sowell
Journal:  Trends Neurosci       Date:  2006-02-10       Impact factor: 13.837

10.  Cortical folding patterns and predicting cytoarchitecture.

Authors:  Bruce Fischl; Niranjini Rajendran; Evelina Busa; Jean Augustinack; Oliver Hinds; B T Thomas Yeo; Hartmut Mohlberg; Katrin Amunts; Karl Zilles
Journal:  Cereb Cortex       Date:  2007-12-12       Impact factor: 5.357

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  117 in total

1.  Variation in CACNA1C is Associated with Amygdala Structure and Function in Adolescents.

Authors:  Jennifer A Sumner; Margaret A Sheridan; Stacy S Drury; Kyle C Esteves; Kate Walsh; Karestan C Koenen; Katie A McLaughlin
Journal:  J Child Adolesc Psychopharmacol       Date:  2015-09-24       Impact factor: 2.576

2.  TRActs constrained by UnderLying INfant anatomy (TRACULInA): An automated probabilistic tractography tool with anatomical priors for use in the newborn brain.

Authors:  Lilla Zöllei; Camilo Jaimes; Elie Saliba; P Ellen Grant; Anastasia Yendiki
Journal:  Neuroimage       Date:  2019-05-24       Impact factor: 6.556

3.  When less is more: Thinner fronto-parietal cortices are associated with better forward digit span performance during early childhood.

Authors:  Morgan Botdorf; Tracy Riggins
Journal:  Neuropsychologia       Date:  2018-10-28       Impact factor: 3.139

4.  Maternal plasma vitamin B12 concentrations during pregnancy and infant cognitive outcomes at 2 years of age.

Authors:  Jun S Lai; M Na'im Mohamad Ayob; Shirong Cai; Phaik Ling Quah; Peter D Gluckman; Lynette P Shek; Fabian Yap; Kok Hian Tan; Yap Seng Chong; Keith M Godfrey; Michael J Meaney; Birit F P Broekman; Anne Rifkin-Graboi; Mary F F Chong
Journal:  Br J Nutr       Date:  2019-04-02       Impact factor: 3.718

5.  Neural network connectivity differences in children who stutter.

Authors:  Soo-Eun Chang; David C Zhu
Journal:  Brain       Date:  2013-10-16       Impact factor: 13.501

6.  Dynamic tractography: Integrating cortico-cortical evoked potentials and diffusion imaging.

Authors:  Brian H Silverstein; Eishi Asano; Ayaka Sugiura; Masaki Sonoda; Min-Hee Lee; Jeong-Won Jeong
Journal:  Neuroimage       Date:  2020-04-12       Impact factor: 6.556

Review 7.  Understanding the Emergence of Neuropsychiatric Disorders With Network Neuroscience.

Authors:  Danielle S Bassett; Cedric Huchuan Xia; Theodore D Satterthwaite
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2018-04-05

8.  Limbic and prefrontal neural volume modulate social anxiety in children at temperamental risk.

Authors:  Eran S Auday; Koraly E Pérez-Edgar
Journal:  Depress Anxiety       Date:  2019-08       Impact factor: 6.505

9.  Prenatal tobacco exposure and brain morphology: a prospective study in young children.

Authors:  Hanan El Marroun; Marcus N Schmidt; Ingmar H A Franken; Vincent W V Jaddoe; Albert Hofman; Aad van der Lugt; Frank C Verhulst; Henning Tiemeier; Tonya White
Journal:  Neuropsychopharmacology       Date:  2013-10-07       Impact factor: 7.853

10.  Phase-amplitude coupling between interictal high-frequency activity and slow waves in epilepsy surgery.

Authors:  Hirotaka Motoi; Makoto Miyakoshi; Taylor J Abel; Jeong-Won Jeong; Yasuo Nakai; Ayaka Sugiura; Aimee F Luat; Rajkumar Agarwal; Sandeep Sood; Eishi Asano
Journal:  Epilepsia       Date:  2018-08-26       Impact factor: 5.864

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