RT Journal Article
SR Electronic
T1 Cross-sectional volumes and trajectories of the human brain, gray matter, white matter and cerebrospinal fluid in 9,473 typically aging adults
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2020.01.12.903658
DO 10.1101/2020.01.12.903658
A1 Andrei Irimia
YR 2020
UL http://biorxiv.org/content/early/2020/07/19/2020.01.12.903658.abstract
AB 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 9,473 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.Disclosure statement The author declares that he has no actual or potential conflicts of interest.Competing Interest StatementThe authors have declared no competing interest.AbbreviationsADAlzheimer’s diseaseAICAkaike information criterionAIRautomated image registration B magnetic field strengthBETbrain extraction toolBVbrain volumeCSFcerebrospinal fluidCSFVerebrospinal fluid volumeCTcomputed tomographyEMexpectation maximizationETLecho train lengthExBrainextended brainFfemale(s)FSLFMRIB software libraryGEGeneral ElectricGMgray matterGMVgray matter volumeICVintracranial volumeMmale(s)MIDASmetabolite imaging and data analysis systemmmmillimetermsmillisecondMRImagnetic resonance imagingPDParkinson’s diseaseRAVENSregional analysis of volumes examined in normalized spaceSPMstatistical parametric mappingTteslaTEecho timeTIinversion timeTRrepetition timeTBItraumatic brain injury var variousVBMvoxel-based morphometryWMwhite matterWMVwhite matter volume