Literature DB >> 32856237

Cross-Sectional Volumes and Trajectories of the Human Brain, Gray Matter, White Matter and Cerebrospinal Fluid in 9473 Typically Aging Adults.

Andrei Irimia1,2.   

Abstract

Accurate knowledge of adult human brain volume (BV) is critical for studies of aging- and disease-related brain alterations, and for monitoring the trajectories of neural and cognitive functions in conditions like Alzheimer's disease and traumatic brain injury. This scoping meta-analysis aggregates normative reference values for BV and three related volumetrics-gray matter volume (GMV), white matter volume (WMV) and cerebrospinal fluid volume (CSFV)-from typically-aging adults studied cross-sectionally using magnetic resonance imaging (MRI). Drawing from an aggregate sample of 9473 adults, this study provides (A) regression coefficients β describing the age-dependent trajectories of volumetric measures by sex within the range from 20 to 70 years based on both linear and quadratic models, and (B) average values for BV, GMV, WMV and CSFV at the representative ages of 20 (young age), 45 (middle age) and 70 (old age). The results provided synthesize ~20 years of brain volumetrics research and allow one to estimate BV at any age between 20 and 70. Importantly, however, such estimates should be used and interpreted with caution because they depend on MRI hardware specifications (e.g. scanner manufacturer, magnetic field strength), data acquisition parameters (e.g. spatial resolution, weighting), and brain segmentation algorithms. Guidelines are proposed to facilitate future meta- and mega-analyses of brain volumetrics.

Entities:  

Keywords:  Brain volume; Cerebrospinal fluid; Gray matter; Meta-analysis; White matter

Mesh:

Year:  2021        PMID: 32856237      PMCID: PMC7910325          DOI: 10.1007/s12021-020-09480-w

Source DB:  PubMed          Journal:  Neuroinformatics        ISSN: 1539-2791


  63 in total

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5.  Influence of aging on brain gray and white matter changes assessed by conventional, MT, and DT MRI.

Authors:  B Benedetti; A Charil; M Rovaris; E Judica; P Valsasina; M P Sormani; M Filippi
Journal:  Neurology       Date:  2006-02-28       Impact factor: 9.910

6.  Quantitative volumetric analysis of brain MR: normative database spanning 5 decades of life.

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8.  Brain region and sex differences in age association with brain volume: a quantitative MRI study of healthy young adults.

Authors:  Ruben C Gur; Faith M Gunning-Dixon; Bruce I Turetsky; Warren B Bilker; Raquel E Gur
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9.  Head size, age and gender adjustment in MRI studies: a necessary nuisance?

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Journal:  Neuroimage       Date:  2010-06-16       Impact factor: 6.556

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Journal:  Biol Psychiatry       Date:  2007-06-04       Impact factor: 13.382

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  4 in total

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3.  The Indigenous South American Tsimane Exhibit Relatively Modest Decrease in Brain Volume With Age Despite High Systemic Inflammation.

Authors:  Andrei Irimia; Nikhil N Chaudhari; David J Robles; Kenneth A Rostowsky; Alexander S Maher; Nahian F Chowdhury; Maria Calvillo; Van Ngo; Margaret Gatz; Wendy J Mack; E Meng Law; M Linda Sutherland; James D Sutherland; Christopher J Rowan; L Samuel Wann; Adel H Allam; Randall C Thompson; David E Michalik; Daniel K Cummings; Edmond Seabright; Sarah Alami; Angela R Garcia; Paul L Hooper; Jonathan Stieglitz; Benjamin C Trumble; Michael D Gurven; Gregory S Thomas; Caleb E Finch; Hillard Kaplan
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-11-15       Impact factor: 6.591

Review 4.  Brain aging mechanisms with mechanical manifestations.

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  4 in total

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