Literature DB >> 34244364

Regional White Matter Scaling in the Human Brain.

Allysa Warling1, Cassidy L McDermott1,2, Siyuan Liu1, Jakob Seidlitz1, Amanda L Rodrigue3, Ajay Nadig1, Ruben C Gur4,5, Raquel E Gur4,5, David Roalf4, Tyler M Moore4,5, David Glahn3, Theodore D Satterthwaite4, Edward T Bullmore6, Armin Raznahan7.   

Abstract

Anatomical organization of the primate cortex varies as a function of total brain size, where possession of a larger brain is accompanied by disproportionate expansion of associative cortices alongside a relative contraction of sensorimotor systems. However, equivalent scaling maps are not yet available for regional white matter anatomy. Here, we use three large-scale neuroimaging datasets to examine how regional white matter volume (WMV) scales with interindividual variation in brain volume among typically developing humans (combined N = 2391: 1247 females, 1144 males). We show that WMV scaling is regionally heterogeneous: larger brains have relatively greater WMV in anterior and posterior regions of cortical white matter, as well as the genu and splenium of the corpus callosum, but relatively less WMV in most subcortical regions. Furthermore, regions of positive WMV scaling tend to connect previously-defined regions of positive gray matter scaling in the cortex, revealing a coordinated coupling of regional gray and white matter organization with naturally occurring variations in human brain size. However, we also show that two commonly studied measures of white matter microstructure, fractional anisotropy (FA) and magnetization transfer (MT), scale negatively with brain size, and do so in a manner that is spatially unlike WMV scaling. Collectively, these findings provide a more complete view of anatomic scaling in the human brain, and offer new contexts for the interpretation of regional white matter variation in health and disease.SIGNIFICANCE STATEMENT Recent work has shown that, in humans, regional cortical and subcortical anatomy show systematic changes as a function of brain size variation. Here, we show that regional white matter structures also show brain-size related changes in humans. Specifically, white matter regions connecting higher-order cortical systems are relatively expanded in larger human brains, while subcortical and cerebellar white matter tracts responsible for unimodal sensory or motor functions are relatively contracted. This regional scaling of white matter volume (WMV) is coordinated with regional scaling of cortical anatomy, but is distinct from scaling of white matter microstructure. These findings provide a more complete view of anatomic scaling of the human brain, with relevance for evolutionary, basic, and clinical neuroscience.
Copyright © 2021 the authors.

Entities:  

Keywords:  neuroimaging; scaling; white matter

Mesh:

Year:  2021        PMID: 34244364      PMCID: PMC8372020          DOI: 10.1523/JNEUROSCI.1193-21.2021

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  66 in total

1.  Principles underlying mammalian neocortical scaling.

Authors:  M A Changizi
Journal:  Biol Cybern       Date:  2001-03       Impact factor: 2.086

2.  Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template.

Authors:  Susumu Mori; Kenichi Oishi; Hangyi Jiang; Li Jiang; Xin Li; Kazi Akhter; Kegang Hua; Andreia V Faria; Asif Mahmood; Roger Woods; Arthur W Toga; G Bruce Pike; Pedro Rosa Neto; Alan Evans; Jiangyang Zhang; Hao Huang; Michael I Miller; Peter van Zijl; John Mazziotta
Journal:  Neuroimage       Date:  2008-01-03       Impact factor: 6.556

3.  Multipoint quantitative-trait linkage analysis in general pedigrees.

Authors:  L Almasy; J Blangero
Journal:  Am J Hum Genet       Date:  1998-05       Impact factor: 11.025

4.  Conservation of brain connectivity and wiring across the mammalian class.

Authors:  Yaniv Assaf; Arieli Bouznach; Omri Zomet; Assaf Marom; Yossi Yovel
Journal:  Nat Neurosci       Date:  2020-06-08       Impact factor: 24.884

5.  Relationships among ontogenetic, static, and evolutionary allometry.

Authors:  J M Cheverud
Journal:  Am J Phys Anthropol       Date:  1982-10       Impact factor: 2.868

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

Authors:  Laura W de Jong; Jean-Sébastien Vidal; Lars E Forsberg; Alex P Zijdenbos; Thaddeus Haight; Sigurdur Sigurdsson; Vilmundur Gudnason; Mark A van Buchem; Lenore J Launer
Journal:  Hum Brain Mapp       Date:  2016-08-25       Impact factor: 5.038

Review 7.  Neuroimaging of the Philadelphia neurodevelopmental cohort.

Authors:  Theodore D Satterthwaite; Mark A Elliott; Kosha Ruparel; James Loughead; Karthik Prabhakaran; Monica E Calkins; Ryan Hopson; Chad Jackson; Jack Keefe; Marisa Riley; Frank D Mentch; Patrick Sleiman; Ragini Verma; Christos Davatzikos; Hakon Hakonarson; Ruben C Gur; Raquel E Gur
Journal:  Neuroimage       Date:  2013-08-03       Impact factor: 6.556

Review 8.  Sex differences in the developing brain: insights from multimodal neuroimaging.

Authors:  Antonia N Kaczkurkin; Armin Raznahan; Theodore D Satterthwaite
Journal:  Neuropsychopharmacology       Date:  2018-06-06       Impact factor: 7.853

9.  Myelin Measurement: Comparison Between Simultaneous Tissue Relaxometry, Magnetization Transfer Saturation Index, and T1w/T2w Ratio Methods.

Authors:  Akifumi Hagiwara; Masaaki Hori; Koji Kamagata; Marcel Warntjes; Daisuke Matsuyoshi; Misaki Nakazawa; Ryo Ueda; Christina Andica; Saori Koshino; Tomoko Maekawa; Ryusuke Irie; Tomohiro Takamura; Kanako Kunishima Kumamaru; Osamu Abe; Shigeki Aoki
Journal:  Sci Rep       Date:  2018-07-12       Impact factor: 4.379

10.  Sex Differences in the Adult Human Brain: Evidence from 5216 UK Biobank Participants.

Authors:  Stuart J Ritchie; Simon R Cox; Xueyi Shen; Michael V Lombardo; Lianne M Reus; Clara Alloza; Mathew A Harris; Helen L Alderson; Stuart Hunter; Emma Neilson; David C M Liewald; Bonnie Auyeung; Heather C Whalley; Stephen M Lawrie; Catharine R Gale; Mark E Bastin; Andrew M McIntosh; Ian J Deary
Journal:  Cereb Cortex       Date:  2018-08-01       Impact factor: 5.357

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