Literature DB >> 33295656

Examining volumetric gradients based on the frustum surface ratio in the brain in autism spectrum disorder.

Caroline Mann1,2, Tim Schäfer1,2, Anke Bletsch1,2, Maria Gudbrandsen3, Eileen Daly3, John Suckling4, Edward T Bullmore4, Michael V Lombardo5,6, Meng-Chuan Lai5,7,8, Michael C Craig3,9, Simon Baron-Cohen5, Declan G M Murphy3, Christine Ecker1,2,3.   

Abstract

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that is accompanied by neurodevelopmental differences in regional cortical volume (CV), and a potential layer-specific pathology. Conventional measures of CV, however, do not indicate how volume is distributed across cortical layers. In a sample of 92 typically developing (TD) controls and 92 adult individuals with ASD (aged 18-52 years), we examined volumetric gradients by quantifying the degree to which CV is weighted from the pial to the white surface of the brain. Overall, the spatial distribution of Frustum Surface Ratio (FSR) followed the gyral and sulcal pattern of the cortex and approximated a bimodal Gaussian distribution caused by a linear mixture of vertices on gyri and sulci. Measures of FSR were highly correlated with vertex-wise estimates of mean curvature, sulcal depth, and pial surface area, although none of these features explained more than 76% variability in FSR on their own. Moreover, in ASD, we observed a pattern of predominant increases in the degree of FSR relative to TD controls, with an atypical neurodevelopmental trajectory. Our findings suggest a more outward-weighted gradient of CV in ASD, which may indicate a larger contribution of supragranular layers to regional differences in CV.
© 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.

Entities:  

Keywords:  autism spectrum disorder; brain anatomy; computational neuroimaging; cortical folding; grey matter volume; gyrification

Mesh:

Year:  2020        PMID: 33295656      PMCID: PMC7856638          DOI: 10.1002/hbm.25270

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.399


  45 in total

1.  High-resolution intersubject averaging and a coordinate system for the cortical surface.

Authors:  B Fischl; M I Sereno; R B Tootell; A M Dale
Journal:  Hum Brain Mapp       Date:  1999       Impact factor: 5.038

2.  Mechanical model of brain convolutional development.

Authors:  D P Richman; R M Stewart; J W Hutchinson; V S Caviness
Journal:  Science       Date:  1975-07-04       Impact factor: 47.728

3.  Anatomically motivated modeling of cortical laminae.

Authors:  M D Waehnert; J Dinse; M Weiss; M N Streicher; P Waehnert; S Geyer; R Turner; P-L Bazin
Journal:  Neuroimage       Date:  2013-04-16       Impact factor: 6.556

4.  Overproduction of upper-layer neurons in the neocortex leads to autism-like features in mice.

Authors:  Wei-Qun Fang; Wei-Wei Chen; Liwen Jiang; Kai Liu; Wing-Ho Yung; Amy K Y Fu; Nancy Y Ip
Journal:  Cell Rep       Date:  2014-11-26       Impact factor: 9.423

5.  Increased gyrification, but comparable surface area in adolescents with autism spectrum disorders.

Authors:  Gregory L Wallace; Briana Robustelli; Nathan Dankner; Lauren Kenworthy; Jay N Giedd; Alex Martin
Journal:  Brain       Date:  2013-05-28       Impact factor: 13.501

6.  A METHODOLOGY FOR ANALYZING CURVATURE IN THE DEVELOPING BRAIN FROM PRETERM TO ADULT.

Authors:  R Pienaar; B Fischl; V Caviness; N Makris; P E Grant
Journal:  Int J Imaging Syst Technol       Date:  2008-06-01       Impact factor: 2.000

Review 7.  Deconstructing cortical folding: genetic, cellular and mechanical determinants.

Authors:  Cristina Llinares-Benadero; Víctor Borrell
Journal:  Nat Rev Neurosci       Date:  2019-03       Impact factor: 34.870

Review 8.  Neuroimaging in autism spectrum disorder: brain structure and function across the lifespan.

Authors:  Christine Ecker; Susan Y Bookheimer; Declan G M Murphy
Journal:  Lancet Neurol       Date:  2015-04-16       Impact factor: 44.182

9.  Early brain development in infants at high risk for autism spectrum disorder.

Authors:  Heather Cody Hazlett; Hongbin Gu; Brent C Munsell; Sun Hyung Kim; Martin Styner; Jason J Wolff; Jed T Elison; Meghan R Swanson; Hongtu Zhu; Kelly N Botteron; D Louis Collins; John N Constantino; Stephen R Dager; Annette M Estes; Alan C Evans; Vladimir S Fonov; Guido Gerig; Penelope Kostopoulos; Robert C McKinstry; Juhi Pandey; Sarah Paterson; John R Pruett; Robert T Schultz; Dennis W Shaw; Lonnie Zwaigenbaum; Joseph Piven
Journal:  Nature       Date:  2017-02-15       Impact factor: 49.962

10.  Cortical morphological markers in children with autism: a structural magnetic resonance imaging study of thickness, area, volume, and gyrification.

Authors:  Daniel Y-J Yang; Danielle Beam; Kevin A Pelphrey; Sebiha Abdullahi; Roger J Jou
Journal:  Mol Autism       Date:  2016-01-25       Impact factor: 7.509

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  1 in total

1.  Examining volumetric gradients based on the frustum surface ratio in the brain in autism spectrum disorder.

Authors:  Caroline Mann; Tim Schäfer; Anke Bletsch; Maria Gudbrandsen; Eileen Daly; John Suckling; Edward T Bullmore; Michael V Lombardo; Meng-Chuan Lai; Michael C Craig; Simon Baron-Cohen; Declan G M Murphy; Christine Ecker
Journal:  Hum Brain Mapp       Date:  2020-12-09       Impact factor: 5.399

  1 in total

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