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

2020 ◽  
Author(s):  
Andrei Irimia
Keyword(s):  
Cerebrospinal Fluid ◽  
White Matter ◽  
Human Brain ◽  
Gray Matter ◽  
Cross Sectional ◽  
Aging Adults

scholarly journals Cross-sectional volumes and trajectories of the human brain, gray matter, white matter and cerebrospinal fluid in 9,473 typically aging adults

2020 ◽  
Author(s):  
Andrei Irimia
Keyword(s):  
Cerebrospinal Fluid ◽  
White Matter ◽  
Human Brain ◽  
Gray Matter ◽  
Conflicts Of Interest ◽  
Gray Matter Volume ◽  
Cross Sectional ◽  
Matter Volume ◽  
Aging Adults ◽  
Brain Volumetrics

AbstractAccurate 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 statementThe author declares that he has no actual or potential conflicts of interest.

Association of Age at Onset With Gray Matter Volume and White Matter Microstructural Abnormalities in People With Multiple Sclerosis

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000012869
Author(s):  
Raffaello Bonacchi ◽  
Alessandro Meani ◽  
Elisabetta Pagani ◽  
Olga Marchesi ◽  
Andrea Falini ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Gray Matter ◽  
Linear Models ◽  
Gray Matter Volume ◽  
Age At Onset ◽  
Healthy Controls ◽  
Compensatory Mechanisms ◽  
Cross Sectional ◽  
Matter Volume

Objective:To investigate whether age at onset influences brain gray matter volume (GMV) and white matter (WM) microstructural abnormalities in adult multiple sclerosis (MS) patients, given its influence on clinical phenotype and disease course.Method:In this hypothesis-driven cross-sectional study, we enrolled 67 pediatric-onset MS (POMS) patients and 143 sex- and disease duration (DD)-matched randomly-selected adult-onset MS (AOMS) patients, together with 208 healthy controls. All subjects underwent neurological evaluation and 3T MRI acquisition. MRI variables were standardized based on healthy controls, to remove effects of age and sex. Associations with DD in POMS and AOMS patients were studied with linear models. Time to reach clinical and MRI milestones was assessed with product-limit approach.Results:At DD=1 year, GMV and WM fractional anisotropy (FA) were abnormal in AOMS but not in POMS patients. Significant interaction of age at onset (POMS vs AOMS) into the association with DD was found for GMV and WM FA. The crossing point of regression lines in POMS and AOMS patients was at 20 years of DD for GMV and 14 for WM FA. For POMS and AOMS patients, median DD was 29 and 19 years to reach Expanded Disability Status Scale=3 (p<0.001), 31 and 26 years to reach abnormal Paced Auditory Serial Addition Task-3 (p=0.01), 24 and 18 years to reach abnormal GMV (p=0.04), and 19 and 17 years to reach abnormal WM FA (p=0.36).Conclusions:Younger patients are initially resilient to MS-related damage. Then, compensatory mechanisms start failing with loss of WM integrity, followed by GM atrophy and finally disability.

scholarly journals Differentiation of Glucose Transport in Human Brain Gray and White Matter

2001 ◽  
Vol 21 (5) ◽  
pp. 483-492 ◽  
Author(s):  
Robin A. de Graaf ◽  
Jullie W. Pan ◽  
Frank Telang ◽  
Jing-Huei Lee ◽  
Peter Brown ◽  
...  
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Steady State ◽  
White Matter ◽  
Magnetic Resonance ◽  
Human Brain ◽  
Glucose Transport ◽  
Gray Matter ◽  
Transport Model ◽  
Transport Activity ◽  
Brain Glucose

Localized 1H nuclear magnetic resonance spectroscopy has been applied to determine human brain gray matter and white matter glucose transport kinetics by measuring the steady-state glucose concentration under normoglycemia and two levels of hyperglycemia. Nuclear magnetic resonance spectroscopic measurements were simultaneously performed on three 12-mL volumes, containing predominantly gray or white matter. The exact volume compositions were determined from quantitative T1 relaxation magnetic resonance images. The absolute brain glucose concentration as a function of the plasma glucose level was fitted with two kinetic transport models, based on standard (irreversible) or reversible Michaelis-Menten kinetics. The steady-state brain glucose levels were similar for cerebral gray and white matter, although the white matter levels were consistently 15% to 20% higher. The ratio of the maximum glucose transport rate, Vmax, to the cerebral metabolic utilization rate of glucose, CMRGlc, was 3.2 ± 0.10 and 3.9 ± 0.15 for gray matter and white matter using the standard transport model and 1.8 ± 0.10 and 2.2 ± 0.12 for gray matter and white matter using the reversible transport model. The Michaelis-Menten constant Km was 6.2 ± 0.85 and 7.3 ± 1.1 mmol/L for gray matter and white matter in the standard model and 1.1 ± 0.66 and 1.7 ± 0.88 mmol/L in the reversible model. Taking into account the threefold lower rate of CMRGlc in white matter, this finding suggests that blood–brain barrier glucose transport activity is lower by a similar amount in white matter. The regulation of glucose transport activity at the blood–brain barrier may be an important mechanism for maintaining glucose homeostasis throughout the cerebral cortex.

Cerebrospinal fluid biomarkers of white matter lesions - cross-sectional results from the LADIS study

2009 ◽  
Vol 17 (3) ◽  
pp. 377-382 ◽  
Author(s):  
M. Jonsson ◽  
H. Zetterberg ◽  
E. Van Straaten ◽  
K. Lind ◽  
S. Syversen ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
White Matter ◽  
White Matter Lesions ◽  
Cross Sectional ◽  
Cerebrospinal Fluid Biomarkers

scholarly journals Long-term association of pregnancy and maternal brain structure: the Rotterdam Study

2021 ◽  
Author(s):  
Jurate Aleknaviciute ◽  
Tavia E. Evans ◽  
Elif Aribas ◽  
Merel W. de Vries ◽  
Eric A.P. Steegers ◽  
...  
Keyword(s):  
White Matter ◽  
Human Brain ◽  
Gray Matter ◽  
Brain Structure ◽  
Gray Matter Volume ◽  
Rotterdam Study ◽  
Pregnancy And Childbirth ◽  
Matter Volume ◽  
Maternal Brain

ABSTRACTThe peripartum period is the highest risk interval for the onset or exacerbation of psychiatric illness in women’s lives. Notably, pregnancy and childbirth have been associated with short-term structural and functional changes in the maternal human brain. Yet the long-term effects of parity on maternal brain structure remain unknown. Therefore, we utilized a large population-based cohort to examine the association between parity and brain structure. In total, 2,835 women (mean age 65.2 years; all free from dementia, stroke, and cortical brain infarcts) from the Rotterdam Study underwent magnetic resonance imaging (1.5 T) between 2005 and 2015. Associations of parity with global and lobar brain tissue volumes, white matter microstructure, and markers of vascular brain disease were examined using regression models. We found that parity was associated with a larger global gray matter volume (β= 0.14, 95% CI = 0.09-0.19), a finding that persisted following adjustment for sociodemographic factors. A non-significant dose-dependent relationship was observed between a higher number of childbirths and larger gray matter volume. The gray matter volume association with parity was globally proportional across lobes. No associations were found regarding white matter volume or integrity, nor with markers of cerebral small vessel disease. The current findings indicate that pregnancy and childbirth are associated with robust long-term changes in brain structure involving larger global gray matter volume that persists for decades. Taken together, these data provide novel insight into the impact of motherhood on the human brain.

scholarly journals InverseT2 contrast at 1.5 Tesla between gray matter and white matter in the occipital lobe of normal adult human brain

2001 ◽  
Vol 46 (2) ◽  
pp. 401-406 ◽  
Author(s):  
Jinyuan Zhou ◽  
Xavier Golay ◽  
Peter C.M. van Zijl ◽  
M. Johanna Silvennoinen ◽  
Risto Kauppinen ◽  
...  
Keyword(s):  
White Matter ◽  
Human Brain ◽  
Gray Matter ◽  
Occipital Lobe ◽  
Normal Adult ◽  
Adult Human Brain ◽  
Adult Human
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