Literature DB >> 27557999

Allometric scaling of brain regions to intra-cranial volume: An epidemiological MRI study.

Laura W de Jong1, Jean-Sébastien Vidal2,3, Lars E Forsberg4, Alex P Zijdenbos5, Thaddeus Haight6, Sigurdur Sigurdsson7, Vilmundur Gudnason7, Mark A van Buchem1, Lenore J Launer6.   

Abstract

There is growing evidence that sub-structures of the brain scale allometrically to total brain size, that is, in a non-proportional and non-linear way. Here, scaling of different volumes of interest (VOI) to intra-cranial volume (ICV) was examined. It was assessed whether scaling was allometric or isometric and whether scaling coefficients significantly differed from each other. We also tested to what extent allometric scaling of VOI was introduced by the automated segmentation technique. Furthermore, reproducibility of allometric scaling was studied different age groups and study populations. Study samples included samples of cognitively healthy adults from the community-based Age Gene/Environment Susceptibility-Reykjavik Study (AGES-Reykjavik Study) (N = 3,883), the Coronary Artery Risk Development in Young Adults Study (CARDIA) (N =709), and the Alzheimer's Disease Neuroimaging Initiative (ADNI) (N = 180). Data encompassed participants with different age, ethnicity, risk factor profile, and ICV and VOI obtained with different automated MRI segmentation techniques. Our analysis showed that (1) allometric scaling is a trait of all parts of the brain, (2) scaling of neo-cortical white matter, neo-cortical gray matter, and deep gray matter structures including the cerebellum are significantly different from each other, and (3) allometric scaling of brain structures cannot solely be explained by age-associated atrophy, sex, ethnicity, or a systematic bias from study-specific segmentation algorithm, but appears to be a true feature of brain geometry. Hum Brain Mapp 38:151-164, 2017.
© 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  ADNI; AGES-Reykjavik; CARDIA; MRI; allometry; brain; cortex; intra-cranial volume; striatum; thalamus; white matter

Mesh:

Year:  2016        PMID: 27557999      PMCID: PMC5148715          DOI: 10.1002/hbm.23351

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  28 in total

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2.  Effects of spatial transformation on regional brain volume estimates.

Authors:  John S Allen; Joel Bruss; Sonya Mehta; Thomas Grabowski; C Kice Brown; Hanna Damasio
Journal:  Neuroimage       Date:  2008-06-03       Impact factor: 6.556

3.  Brain size and grey matter volume in the healthy human brain.

Authors:  Eileen Lüders; Helmuth Steinmetz; Lutz Jäncke
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4.  Genetic patterns of correlation among subcortical volumes in humans: results from a magnetic resonance imaging twin study.

Authors:  Lisa T Eyler; Elizabeth Prom-Wormley; Christine Fennema-Notestine; Matthew S Panizzon; Michael C Neale; Terry L Jernigan; Bruce Fischl; Carol E Franz; Michael J Lyons; Allison Stevens; Jennifer Pacheco; Michele E Perry; J Eric Schmitt; Nicholas C Spitzer; Larry J Seidman; Heidi W Thermenos; Ming T Tsuang; Anders M Dale; William S Kremen
Journal:  Hum Brain Mapp       Date:  2011-04       Impact factor: 5.038

5.  Size and shape of the cerebral cortex in mammals. I. The cortical surface.

Authors:  M A Hofman
Journal:  Brain Behav Evol       Date:  1985       Impact factor: 1.808

6.  Statistical adjustments for brain size in volumetric neuroimaging studies: some practical implications in methods.

Authors:  Liam M O'Brien; David A Ziegler; Curtis K Deutsch; Jean A Frazier; Martha R Herbert; Joseph J Locascio
Journal:  Psychiatry Res       Date:  2011-08-30       Impact factor: 3.222

7.  Gender effects on cortical thickness and the influence of scaling.

Authors:  E Luders; K L Narr; P M Thompson; D E Rex; R P Woods; H Deluca; L Jancke; A W Toga
Journal:  Hum Brain Mapp       Date:  2006-04       Impact factor: 5.038

8.  Age, Gene/Environment Susceptibility-Reykjavik Study: multidisciplinary applied phenomics.

Authors:  Tamara B Harris; Lenore J Launer; Gudny Eiriksdottir; Olafur Kjartansson; Palmi V Jonsson; Gunnar Sigurdsson; Gudmundur Thorgeirsson; Thor Aspelund; Melissa E Garcia; Mary Frances Cotch; Howard J Hoffman; Vilmundur Gudnason
Journal:  Am J Epidemiol       Date:  2007-03-10       Impact factor: 4.897

9.  Head size, age and gender adjustment in MRI studies: a necessary nuisance?

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10.  Computer-assisted segmentation of white matter lesions in 3D MR images using support vector machine.

Authors:  Zhiqiang Lao; Dinggang Shen; Dengfeng Liu; Abbas F Jawad; Elias R Melhem; Lenore J Launer; R Nick Bryan; Christos Davatzikos
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  9 in total

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2.  Sex Differences in Variability of Brain Structure Across the Lifespan.

Authors:  Natalie J Forde; Jerrold Jeyachandra; Michael Joseph; Grace R Jacobs; Erin Dickie; Theodore D Satterthwaite; Russell T Shinohara; Stephanie H Ameis; Aristotle N Voineskos
Journal:  Cereb Cortex       Date:  2020-09-03       Impact factor: 5.357

3.  A muscle-epidermis-glia signaling axis sustains synaptic specificity during allometric growth in Caenorhabditis elegans.

Authors:  Jiale Fan; Tingting Ji; Kai Wang; Jichang Huang; Mengqing Wang; Laura Manning; Xiaohua Dong; Yanjun Shi; Xumin Zhang; Zhiyong Shao; Daniel A Colón-Ramos
Journal:  Elife       Date:  2020-04-07       Impact factor: 8.140

4.  Adjusting for allometric scaling in ABIDE I challenges subcortical volume differences in autism spectrum disorder.

Authors:  Camille Michèle Williams; Hugo Peyre; Roberto Toro; Anita Beggiato; Franck Ramus
Journal:  Hum Brain Mapp       Date:  2020-07-30       Impact factor: 5.038

5.  Brain atrophy in middle age using magnetic resonance imaging scans from Japan's health screening programme.

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Journal:  Brain Commun       Date:  2022-08-22

6.  Regional White Matter Scaling in the Human Brain.

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Journal:  J Neurosci       Date:  2021-07-09       Impact factor: 6.167

7.  Are Sex Differences in Human Brain Structure Associated With Sex Differences in Behavior?

Authors:  Liza van Eijk; Dajiang Zhu; Baptiste Couvy-Duchesne; Lachlan T Strike; Anthony J Lee; Narelle K Hansell; Paul M Thompson; Greig I de Zubicaray; Katie L McMahon; Margaret J Wright; Brendan P Zietsch
Journal:  Psychol Sci       Date:  2021-07-29

8.  Neuroanatomical norms in the UK Biobank: The impact of allometric scaling, sex, and age.

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Journal:  Hum Brain Mapp       Date:  2021-07-16       Impact factor: 5.038

9.  Cranial capacity measurement for modern Chinese adults based on 3D reconstruction.

Authors:  Yufeng Qian; Songou Zhang; Qihuan Tan; Jianyu Xia; Guoliang Jin
Journal:  Neurosciences (Riyadh)       Date:  2021-07       Impact factor: 0.906

  9 in total

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