Multispectral Quantitative MR Imaging of the Human Brain: Lifetime Age-related Effects

Watanabe, Moe; Liao, Jinhui; Jara, Hernán; Sakai, Osamu

doi:10.1148/rg.335125212

Cited by 20 publications

(21 citation statements)

References 67 publications

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“…The content of water in brain decreases with age. In other words, ADC values will decrease with age, which continues until the infant is about 2 years old [14,15]. In the present study, ADC values of the BG, THAL, cerebellum and OWM declined with the increase of GA, which is similar to results of previous studies [16,17,18].…”

Section: Discussionsupporting

confidence: 91%

Assessment of Apparent Diffusion Coefficient of Normal Fetal Brain Development from Gestational Age Week 24 Up to Term Age: A Preliminary Study

Han

Huang²,

Sun

et al. 2014

Fetal Diagn Ther

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Objectives: This study was designed to investigate the feasibility of apparent diffusion coefficient (ADC) values in evaluating normal fetal brain development from gestational week 24 up to term age. Methods: Diffusion-weighted imaging (DWI) was performed on 40 normal fetuses (with normal results on sonography and normal fetal MRI results), with two b-values of 0 and 600 s/mm² in the three (x, y, z) orthogonal axes. Ten regions of interest (ROIs) were manually placed symmetrically in the bilateral frontal white matter (FWM), occipital white matter (OWM), thalamus (THAL), basal ganglia (BG), and cerebellar hemispheres (CH). ADC values of the ten ROIs in all subjects were measured by two radiologists independently. One-way ANOVA was used to calculate the differences among the five regions in the fetal brain and linear regression analysis was used to evaluate the correlation between ADC values and gestational age (GA). p < 0.05 was considered significantly different. Results: Mean GA was 31.3 ± 3.9 (range 24-41) weeks. The overall mean ADC values (×10^-6 mm²/s) of the fetuses were 1,800 ± 214 (FWM), 1,400 ± 100 (BG), 1,300 ± 126 (THAL), 1,700 ± 133 (OWM) and 1,400 ± 155 (CH), respectively. The ADC value of BG was not significantly different from those of THAL and CH, while the other four ROIs had significant differences with each other. The ADC values of BG, THAL, OWM and CH had strong negative correlations with increasing GA (R were -0.568, -0.716, -0.830 and -0.700, respectively, all p < 0.01), OWM declined fastest with GA, followed by CH and THAL, the slowest being BG. The ADC value of FWM had no significant change with GA (p = 0.366). Conclusions: The measurement of ADC values is feasible to evaluate fetal brain development with high reliability and reproducibility.

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Section: Discussionsupporting

confidence: 91%

Assessment of Apparent Diffusion Coefficient of Normal Fetal Brain Development from Gestational Age Week 24 Up to Term Age: A Preliminary Study

Han

Huang²,

Sun

et al. 2014

Fetal Diagn Ther

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“…(Laule et al, 2006(Laule et al, , 2008. However, there is still inconsistency between studies in terms of the nature of the myelin-age relationships, where some studies also report a linear decline with age for these quantitative metrics (Callaghan et al, 2014;Cherubini et al, 2009), while other studies have observed quadratic associations between age and myelin, with peak myelin varying between 30 and 50 years of age (Arshad et al, 2016;Ge et al, 2002;Inglese & Ge, 2004;Watanabe et al, 2013;Yeatman et al, 2014). However, there is still inconsistency between studies in terms of the nature of the myelin-age relationships, where some studies also report a linear decline with age for these quantitative metrics (Callaghan et al, 2014;Cherubini et al, 2009), while other studies have observed quadratic associations between age and myelin, with peak myelin varying between 30 and 50 years of age (Arshad et al, 2016;Ge et al, 2002;Inglese & Ge, 2004;Watanabe et al, 2013;Yeatman et al, 2014).…”

Section: Possible Biological and Functional Correlatesmentioning

confidence: 99%

“…So far, only few studies used MWI to study healthy myelin maturation. However, there is still inconsistency between studies in terms of the nature of the myelin-age relationships, where some studies also report a linear decline with age for these quantitative metrics (Callaghan et al, 2014;Cherubini et al, 2009), while other studies have observed quadratic associations between age and myelin, with peak myelin varying between 30 and 50 years of age (Arshad et al, 2016;Ge et al, 2002;Inglese & Ge, 2004;Watanabe et al, 2013;Yeatman et al, 2014).…”

Section: Possible Biological and Functional Correlatesmentioning

confidence: 99%

MR‐based age‐related effects on the striatum, globus pallidus, and thalamus in healthy individuals across the adult lifespan

Tullo

Patel

Devenyi

et al. 2019

Human Brain Mapping

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While numerous studies have used magnetic resonance imaging (MRI) to elucidate normative age‐related trajectories in subcortical structures across the human lifespan, there exists substantial heterogeneity among different studies. Here, we investigated the normative relationships between age and morphology (i.e., volume and shape), and microstructure (using the T1‐weighted/T2‐weighted [T1w/T2w] signal ratio as a putative index of myelin and microstructure) of the striatum, globus pallidus, and thalamus across the adult lifespan using a dataset carefully quality controlled, yielding a final sample of 178 for the morphological analyses, and 162 for the T1w/T2w analyses from an initial dataset of 253 healthy subjects, aged 18–83. In accordance with previous cross‐sectional studies of adults, we observed age‐related volume decrease that followed a quadratic relationship between age and bilateral striatal and thalamic volumes, and a linear relationship in the globus pallidus. Our shape indices consistently demonstrated age‐related posterior and medial areal contraction bilaterally across all three structures. Beyond morphology, we observed a quadratic inverted U‐shaped relationship between T1w/T2w signal ratio and age, with a peak value occurring in middle age (at around 50 years old). After permutation testing, the Akaike information criterion determined age relationships remained significant for the bilateral globus pallidus and thalamus, for both the volumetric and T1w/T2w analyses. Our findings serve to strengthen and expand upon previous volumetric analyses by providing a normative baseline of morphology and microstructure of these structures to which future studies investigating patients with various disorders can be compared.

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“…Current scientific consensus is that fundamental differences exist in brain structure and function possibly in response to sexually selective evolutionary pressures (Cahill, 2014a). Brain differences between sexes have been shown in terms of neurodevelopmental trajectories (Lenroot et al, 2007), structural morphometry (Clayton and Collins, 2014; Luders et al, 2009; Peelle et al, 2012; Watanabe et al, 2013), connectivity (Cahill, 2014b; Duarte-Carvajalino et al, 2012; Gong et al, 2015; Ingalhalikar et al, 2014), and molecular biology (Al Nadaf et al, 2010; Cahill, 2006; Jazin and Cahill, 2010; Wu et al, 2014). Patients with substance use disorder (SUD) demonstrate sex differences in many natural history features, including age of first use, rate of drug consumption escalation, quantity consumed, affect, and behavior (Becker et al, 2012; Eaton et al, 2012; Hernandez-Avila et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Sex disparities in substance abuse research: Evaluating 23 years of structural neuroimaging studies

Lind

Gutierrez

Yamamoto

et al. 2017

Drug and Alcohol Dependence

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Background Sex differences in brain structure and clinical course of substance use disorders underscores the need to include women in structural brain imaging studies. The NIH has supported the need for research to address sex differences. We evaluated female enrollment in substance abuse structural brain imaging research and the methods used to study sex differences in substance effects. Methods Structural brain imaging studies published through 2016 (n=230) were evaluated for number of participants by sex and substance use status and methods used to evaluate sex differences. Temporal trends in the numbers of participants by sex and substance use status were analyzed. We evaluated how often sex effects were appropriately analyzed and the proportion of studies that found sex by substance interactions on volumetric measures. Results Female enrollment increased over time, but remained significantly lower than male enrollment (p=0.01), with the greatest bias for alcohol and opiate studies. 79% of studies included both sexes; however, 74% did not evaluate sex effects or used an analytic approach that precluded detection of sex by substance use interactions. 85% of studies that stratified by sex reported different substance effects on brain volumes. Only 33% of studies examining two-way interactions found significant interactions, highlighting that many studies were underpowered to detect interactions. Conclusions Although female participation in substance use studies of brain morphometry has increased, sex disparity persists. Studying adequate numbers of both sexes and employing correct analytic approaches is critical for understanding sex differences in brain morphometric changes in substance abuse.

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Multispectral Quantitative MR Imaging of the Human Brain: Lifetime Age-related Effects

Cited by 20 publications

References 67 publications

Assessment of Apparent Diffusion Coefficient of Normal Fetal Brain Development from Gestational Age Week 24 Up to Term Age: A Preliminary Study

Assessment of Apparent Diffusion Coefficient of Normal Fetal Brain Development from Gestational Age Week 24 Up to Term Age: A Preliminary Study

MR‐based age‐related effects on the striatum, globus pallidus, and thalamus in healthy individuals across the adult lifespan

Sex disparities in substance abuse research: Evaluating 23 years of structural neuroimaging studies

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