Age-associated differences on structural brain MRI in nondemented individuals from 71 to 103 years

Yang, Zixuan; Wang, Wen; Jiang, Jiyang; Crawford, John D.; Reppermund, Simone; Levitan, Charlene; Slavin, Melissa J.; Kochan, Nicole A.; Richmond, Robyn; Brodaty, Henry; Trollor, Julian N.; Sachdev, Perminder S.

doi:10.1016/j.neurobiolaging.2016.01.006

Cited by 45 publications

(63 citation statements)

References 74 publications

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“…Consistent with reports of regional specificity in cortical volume and thickness changes, white matter changes also appear to follow an anterior-posterior gradient with the most rapid atrophy occurring in frontal white matter [16,42,43]. The vast majority of reports of white matter atrophy also describe a curvilinear pattern, with more rapid declines occurring in later older adulthood [23,25,35,41,44].…”

Section: White Matter Changessupporting

confidence: 58%

“…A third category, which included estimates of global parenchymal and cortical volumes, followed a quadratic function with accelerating decline in later life [35]. Regional variability in rates of brain atrophy was also reported in two recent studies of young-old [20] and old-old [23]. In young-old, greater annualized percent change was observed in heteromodal than in primary sensory motor cortices, with inferolateral temporal and inferior parietal cortices showing particularly pronounced changes.…”

Section: Global and Regional Changesmentioning

confidence: 88%

“…In young-old, greater annualized percent change was observed in heteromodal than in primary sensory motor cortices, with inferolateral temporal and inferior parietal cortices showing particularly pronounced changes. In contrast, for old-old adults, accelerated changes were observed in medial temporal and occipital cortices, particularly in the 10 th -11 th decades of life [23]. Structural declines have also been reported in primary sensory motor and occipital brain regions in old-old adulthood [5,21].…”

Section: Global and Regional Changesmentioning

confidence: 96%

“…Indeed, the extent of regional variability was described in these early studies as a 'patchwork' of age-related change across the cortical mantle [26]. This distributed or 'heterochronus' [5] nature of structural brain changes across the lifespan has been observed repeatedly in both cross-sectional [5,23,[30][31][32][33][34] and longitudinal [18-21, 27, 35-37] studies.…”

Section: Global and Regional Changesmentioning

confidence: 98%

“…While estimates and measures vary widely across studies, there appears to be convergence around the extent of parenchymal change, with annual loss estimates ranging from -0.30 to -0.56 percent per annum. Further, this rate of global decline appears to accelerate in late life from young-old (60-66 years) [20] to middle-old (~75 years) [15] and old-old (+90 years) [23]. Finally, while a full review of sex differences in age-related brain change is beyond the scope of this review, it is important to note that the majority of published reports (whether cross-sectional or longitudinal) and across both global and regional measures, show a steeper and more rapid trajectory of decline for males than females [e.g.…”

Section: Global and Regional Changesmentioning

confidence: 99%

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Structure and function of the aging brain

Spreng¹,

Turner²

2018

Preprint

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In this opening section of the Aging Brain we set the stage for the contributions that follow by providing a broad overview of the latest advances in our understanding of how the brain changes, both structurally and functionally, across the adult lifespan. We leave domain-specific aspects of brain aging to the subsequent chapters, where contributors will provide more targeted accounts of brain change germane to their particular focus on the aging brain. Here we review the extant, and rapidly expanding literature to provide a brief overview and introduction to structural and functional change that occur with typical brain aging. We begin the chapter by looking back, to review some of the early discoveries about how the brain changes across the adult lifespan. We close the chapter by looking forward, towards new discoveries that challenge our core assumptions about the inevitability or irreversibility of age-related brain changes. These sections serve as bookends for the core of the chapter where we review the latest research advances that continue to uncover the mysteries of the aging brain. Spreng, R.N., Turner, G.R. (2019, forthcoming) Structure and function of the aging brain. In G Samanez-Larkin (Ed.) The aging brain. Washington DC: American Psychological Association.

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Section: White Matter Changessupporting

confidence: 58%

Section: Global and Regional Changesmentioning

confidence: 88%

Section: Global and Regional Changesmentioning

confidence: 96%

Section: Global and Regional Changesmentioning

confidence: 98%

Section: Global and Regional Changesmentioning

confidence: 99%

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Structure and function of the aging brain

Spreng¹,

Turner²

2018

Preprint

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Differential regional decline in dopamine receptor availability across adulthood: Linear and nonlinear effects of age

Seaman

Smith

Juarez

et al. 2019

Human Brain Mapping

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Theories of adult brain development, based on neuropsychological test results and structural neuroimaging, suggest differential rates of age‐related change in function across cortical and subcortical sub‐regions. However, it remains unclear if these trends also extend to the aging dopamine system. Here we examined cross‐sectional adult age differences in estimates of D2‐like receptor binding potential across several cortical and subcortical brain regions using PET imaging and the radiotracer [18F]Fallypride in two samples of healthy human adults (combined N = 132). After accounting for regional differences in overall radioligand binding, estimated percent difference in receptor binding potential by decade (linear effects) were highest in most temporal and frontal cortical regions (~6–16% per decade), moderate in parahippocampal gyrus, pregenual frontal cortex, fusiform gyrus, caudate, putamen, thalamus, and amygdala (~3–5%), and weakest in subcallosal frontal cortex, ventral striatum, pallidum, and hippocampus (~0–2%). Some regions showed linear effects of age while many showed curvilinear effects such that binding potential declined from young adulthood to middle age and then was relatively stable until old age. Overall, these data indicate that the rate and pattern of decline in D2 receptor availability is regionally heterogeneous. However, the differences across regions were challenging to organize within existing theories of brain development and did not show the same pattern of regional change that has been observed in gray matter volume, white matter integrity, or cognitive performance. This variation suggests that existing theories of adult brain development may need to be modified to better account for the spatial dynamics of dopaminergic system aging.

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Targeting age‐related differences in brain and cognition with multimodal imaging and connectome topography profiling

Lowe

Paquola

Wael

et al. 2019

Human Brain Mapping

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Aging is characterized by accumulation of structural and metabolic changes in the brain. Recent studies suggest transmodal brain networks are especially sensitive to aging, which, we hypothesize, may be due to their apical position in the cortical hierarchy. Studying an open-access healthy cohort (n = 102, age range = 30-89 years) with MRI and Aβ PET data, we estimated age-related cortical thinning, hippocampal atrophy and Aβ deposition. In addition to carrying out surface-based morphological and metabolic mapping experiments, we stratified effects along neocortical and hippocampal resting-state functional connectome gradients derived from independent datasets. The cortical gradient depicts an axis of functional differentiation from sensory-motor regions to transmodal regions, whereas the hippocampal gradient recapitulates its long-axis. While age-related thinning and increased Aβ deposition occurred across the entire cortical topography, increased Aβ deposition was especially pronounced toward higher-order transmodal regions. Age-related atrophy was greater toward the posterior end of the hippocampal long-axis. No significant effect of age on Aβ deposition in the hippocampus was observed. Imaging markers correlated with behavioral measures of fluid intelligence and episodic memory in a topography-specific manner, confirmed using both univariate as well as multivariate analyses. Our results strengthen existing evidence of structural and metabolic change in the aging brain and support the use of connectivity gradients as a compact framework to analyze and conceptualize brain-based biomarkers of aging.aging, amyloid, atrophy, cognition, hippocampus, neocortex Alexander J. Lowe and Casey Paquola authors are contributed equally to this work.

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Age-associated differences on structural brain MRI in nondemented individuals from 71 to 103 years

Cited by 45 publications

References 74 publications

Structure and function of the aging brain

Structure and function of the aging brain

Differential regional decline in dopamine receptor availability across adulthood: Linear and nonlinear effects of age

Targeting age‐related differences in brain and cognition with multimodal imaging and connectome topography profiling

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