Literature DB >> 27150231

Development of cortical shape in the human brain from 6 to 24months of age via a novel measure of shape complexity.

Sun Hyung Kim1, Ilwoo Lyu2, Vladimir S Fonov3, Clement Vachet4, Heather C Hazlett5, Rachel G Smith5, Joseph Piven5, Stephen R Dager6, Robert C Mckinstry7, John R Pruett8, Alan C Evans3, D Louis Collins3, Kelly N Botteron8, Robert T Schultz9, Guido Gerig10, Martin A Styner11.   

Abstract

The quantification of local surface morphology in the human cortex is important for examining population differences as well as developmental changes in neurodegenerative or neurodevelopmental disorders. We propose a novel cortical shape measure, referred to as the 'shape complexity index' (SCI), that represents localized shape complexity as the difference between the observed distributions of local surface topology, as quantified by the shape index (SI) measure, to its best fitting simple topological model within a given neighborhood. We apply a relatively small, adaptive geodesic kernel to calculate the SCI. Due to the small size of the kernel, the proposed SCI measure captures fine differences of cortical shape. With this novel cortical feature, we aim to capture comparatively small local surface changes that capture a) the widening versus deepening of sulcal and gyral regions, as well as b) the emergence and development of secondary and tertiary sulci. Current cortical shape measures, such as the gyrification index (GI) or intrinsic curvature measures, investigate the cortical surface at a different scale and are less well suited to capture these particular cortical surface changes. In our experiments, the proposed SCI demonstrates higher complexity in the gyral/sulcal wall regions, lower complexity in wider gyral ridges and lowest complexity in wider sulcal fundus regions. In early postnatal brain development, our experiments show that SCI reveals a pattern of increased cortical shape complexity with age, as well as sexual dimorphisms in the insula, middle cingulate, parieto-occipital sulcal and Broca's regions. Overall, sex differences were greatest at 6months of age and were reduced at 24months, with the difference pattern switching from higher complexity in males at 6months to higher complexity in females at 24months. This is the first study of longitudinal, cortical complexity maturation and sex differences, in the early postnatal period from 6 to 24months of age with fine scale, cortical shape measures. These results provide information that complement previous studies of gyrification index in early brain development.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Age effect; And sexual dimorphism; Earth mover distance; Shape complexity index; Shape index

Mesh:

Year:  2016        PMID: 27150231      PMCID: PMC4915970          DOI: 10.1016/j.neuroimage.2016.04.053

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


  57 in total

1.  Sulcal variability of twins.

Authors:  G Lohmann; D Y von Cramon; H Steinmetz
Journal:  Cereb Cortex       Date:  1999 Oct-Nov       Impact factor: 5.357

2.  "Sulcal root" generic model: a hypothesis to overcome the variability of the human cortex folding patterns.

Authors:  Jean Régis; Jean-François Mangin; Taku Ochiai; Vincent Frouin; Denis Riviére; Arnaud Cachia; Manabu Tamura; Yves Samson
Journal:  Neurol Med Chir (Tokyo)       Date:  2005-01       Impact factor: 1.742

3.  An unbiased iterative group registration template for cortical surface analysis.

Authors:  Oliver Lyttelton; Maxime Boucher; Steven Robbins; Alan Evans
Journal:  Neuroimage       Date:  2006-12-26       Impact factor: 6.556

4.  Age- and gender-related regional variations of human brain cortical thickness, complexity, and gradient in the third decade.

Authors:  Maud Creze; Leslie Versheure; Pierre Besson; Chloe Sauvage; Xavier Leclerc; Patrice Jissendi-Tchofo
Journal:  Hum Brain Mapp       Date:  2013-10-18       Impact factor: 5.038

5.  Three-dimensional fractal analysis of the white matter surface from magnetic resonance images of the human brain.

Authors:  S L Free; S M Sisodiya; M J Cook; D R Fish; S D Shorvon
Journal:  Cereb Cortex       Date:  1996 Nov-Dec       Impact factor: 5.357

6.  Brain volume findings in 6-month-old infants at high familial risk for autism.

Authors:  Heather Cody Hazlett; Hongbin Gu; Robert C McKinstry; Dennis W W Shaw; Kelly N Botteron; Stephen R Dager; Martin Styner; Clement Vachet; Guido Gerig; Sarah J Paterson; Robert T Schultz; Annette M Estes; Alan C Evans; Joseph Piven
Journal:  Am J Psychiatry       Date:  2012-06       Impact factor: 18.112

7.  Cortical thickness maturation and duration of music training: health-promoting activities shape brain development.

Authors:  James J Hudziak; Matthew D Albaugh; Simon Ducharme; Sherif Karama; Margaret Spottswood; Eileen Crehan; Alan C Evans; Kelly N Botteron
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2014-09-03       Impact factor: 8.829

8.  Brain size and folding of the human cerebral cortex.

Authors:  Roberto Toro; Michel Perron; Bruce Pike; Louis Richer; Suzanne Veillette; Zdenka Pausova; Tomás Paus
Journal:  Cereb Cortex       Date:  2008-02-10       Impact factor: 5.357

9.  Differences in age-related effects on brain volume in Down syndrome as compared to Williams syndrome and typical development.

Authors:  Mary Ellen I Koran; Timothy J Hohman; Courtney M Edwards; Jennifer N Vega; Jennifer R Pryweller; Laura E Slosky; Genea Crockett; Lynette Villa de Rey; Shashwath A Meda; Nathan Dankner; Suzanne N Avery; Jennifer U Blackford; Elisabeth M Dykens; Tricia A Thornton-Wells
Journal:  J Neurodev Disord       Date:  2014-04-09       Impact factor: 4.025

10.  Consistency and interpretation of changes in millimeter-scale cortical intrinsic curvature across three independent datasets in schizophrenia.

Authors:  Lisa Ronan; Natalie L Voets; Morgan Hough; Clare Mackay; Neil Roberts; John Suckling; Edward Bullmore; Anthony James; Paul C Fletcher
Journal:  Neuroimage       Date:  2012-06-26       Impact factor: 6.556

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  15 in total

Review 1.  Role of deep learning in infant brain MRI analysis.

Authors:  Mahmoud Mostapha; Martin Styner
Journal:  Magn Reson Imaging       Date:  2019-06-20       Impact factor: 2.546

2.  Discovering cortical sulcal folding patterns in neonates using large-scale dataset.

Authors:  Yu Meng; Gang Li; Li Wang; Weili Lin; John H Gilmore; Dinggang Shen
Journal:  Hum Brain Mapp       Date:  2018-04-26       Impact factor: 5.038

3.  Sulcal Depth-based Cortical Shape Analysis in Normal Healthy Control and Schizophrenia Groups.

Authors:  Ilwoo Lyu; Hakmook Kang; Neil D Woodward; Bennett A Landman
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-03

Review 4.  Challenges in pediatric neuroimaging.

Authors:  Matthew J Barkovich; Yi Li; Rahul S Desikan; A James Barkovich; Duan Xu
Journal:  Neuroimage       Date:  2018-04-22       Impact factor: 6.556

Review 5.  Computational neuroanatomy of baby brains: A review.

Authors:  Gang Li; Li Wang; Pew-Thian Yap; Fan Wang; Zhengwang Wu; Yu Meng; Pei Dong; Jaeil Kim; Feng Shi; Islem Rekik; Weili Lin; Dinggang Shen
Journal:  Neuroimage       Date:  2018-03-21       Impact factor: 6.556

6.  Hierarchical spherical deformation for cortical surface registration.

Authors:  Ilwoo Lyu; Hakmook Kang; Neil D Woodward; Martin A Styner; Bennett A Landman
Journal:  Med Image Anal       Date:  2019-06-29       Impact factor: 8.545

7.  Adolescent maturation of the relationship between cortical gyrification and cognitive ability.

Authors:  Yu Sun Chung; Christopher J Hyatt; Michael C Stevens
Journal:  Neuroimage       Date:  2017-07-01       Impact factor: 6.556

8.  A cortical shape-adaptive approach to local gyrification index.

Authors:  Ilwoo Lyu; Sun Hyung Kim; Jessica B Girault; John H Gilmore; Martin A Styner
Journal:  Med Image Anal       Date:  2018-06-28       Impact factor: 8.545

9.  A Novel Framework for the Local Extraction of Extra-Axial Cerebrospinal Fluid from MR Brain Images.

Authors:  Mahmoud Mostapha; Mark D Shen; SunHyung Kim; Meghan Swanson; D Louis Collins; Vladimir Fonov; Guido Gerig; Joseph Piven; Martin A Styner
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-03-02

10.  Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury.

Authors:  Cailey I Kerley; Leon Y Cai; Chang Yu; Logan M Crawford; Jason M Elenberger; Eden S Singh; Kurt G Schilling; Katherine S Aboud; Bennett A Landman; Tonia S Rex
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2021-02-15
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