scholarly journals Sublinear association between cortical thickness at the onset of the adult lifespan and age-related annual atrophy parallels spatial patterns of laminar organization in the adult cerebral cortex

2021 ◽  
Vol 1 (2) ◽  
pp. 100011
Author(s):  
Bruno Hebling Vieira ◽  
Carlos Ernesto Garrido Salmon
Keyword(s):  
Cerebral Cortex ◽  
Spatial Patterns ◽  
Cortical Thickness ◽  
Laminar Organization ◽  
Adult Lifespan ◽  
Age Related

scholarly journals Corticosteroids and Regional Variations in Thickness of the Human Cerebral Cortex across the Lifespan

2019 ◽  
Vol 30 (2) ◽  
pp. 575-586 ◽  
Author(s):  
Nadine Parker ◽  
Didac Vidal-Pineiro ◽  
Leon French ◽  
Jean Shin ◽  
Hieab H H Adams ◽  
...  
Keyword(s):  
Cerebral Cortex ◽  
Cortical Thickness ◽  
Brain Structure ◽  
Pyramidal Cells ◽  
Brain Atlas ◽  
Variable Degree ◽  
Human Cerebral Cortex ◽  
Age Related ◽  
The Relationship ◽  
Age Related Changes

Abstract Exposures to life stressors accumulate across the lifespan, with possible impact on brain health. Little is known, however, about the mechanisms mediating age-related changes in brain structure. We use a lifespan sample of participants (n = 21 251; 4–97 years) to investigate the relationship between the thickness of cerebral cortex and the expression of the glucocorticoid- and the mineralocorticoid-receptor genes (NR3C1 and NR3C2, respectively), obtained from the Allen Human Brain Atlas. In all participants, cortical thickness correlated negatively with the expression of both NR3C1 and NR3C2 across 34 cortical regions. The magnitude of this correlation varied across the lifespan. From childhood through early adulthood, the profile similarity (between NR3C1/NR3C2 expression and thickness) increased with age. Conversely, both profile similarities decreased with age in late life. These variations do not reflect age-related changes in NR3C1 and NR3C2 expression, as observed in 5 databases of gene expression in the human cerebral cortex (502 donors). Based on the co-expression of NR3C1 (and NR3C2) with genes specific to neural cell types, we determine the potential involvement of microglia, astrocytes, and CA1 pyramidal cells in mediating the relationship between corticosteroid exposure and cortical thickness. Therefore, corticosteroids may influence brain structure to a variable degree throughout life.

scholarly journals Development and aging of cortical thickness correspond to genetic organization patterns

2015 ◽  
Vol 112 (50) ◽  
pp. 15462-15467 ◽  
Author(s):  
Anders M. Fjell ◽  
Håkon Grydeland ◽  
Stine K. Krogsrud ◽  
Inge Amlien ◽  
Darius A. Rohani ◽  
...  
Keyword(s):  
Cerebral Cortex ◽  
Cortical Thickness ◽  
Genetic Relationships ◽  
Adult Age ◽  
Genetic Organization ◽  
Age Related ◽  
Development And Aging ◽  
Genetic Clustering ◽  
Cortical Regions ◽  
Adult Twins

There is a growing realization that early life influences have lasting impact on brain function and structure. Recent research has demonstrated that genetic relationships in adults can be used to parcellate the cortex into regions of maximal shared genetic influence, and a major hypothesis is that genetically programmed neurodevelopmental events cause a lasting impact on the organization of the cerebral cortex observable decades later. Here we tested how developmental and lifespan changes in cortical thickness fit the underlying genetic organizational principles of cortical thickness in a longitudinal sample of 974 participants between 4.1 and 88.5 y of age with a total of 1,633 scans, including 773 scans from children below 12 y. Genetic clustering of cortical thickness was based on an independent dataset of 406 adult twins. Developmental and adult age-related changes in cortical thickness followed closely the genetic organization of the cerebral cortex, with change rates varying as a function of genetic similarity between regions. Cortical regions with overlapping genetic architecture showed correlated developmental and adult age change trajectories and vice versa for regions with low genetic overlap. Thus, effects of genes on regional variations in cortical thickness in middle age can be traced to regional differences in neurodevelopmental change rates and extrapolated to further adult aging-related cortical thinning. This finding suggests that genetic factors contribute to cortical changes through life and calls for a lifespan perspective in research aimed at identifying the genetic and environmental determinants of cortical development and aging.

scholarly journals Cortical thickness in right frontal and left lingual gyri differentially mediate episodic memory for spatial contextual details across the adult lifespan

2018 ◽  
Author(s):  
A. Swierkot ◽  
M. N. Rajah
Keyword(s):  
Older Adults ◽  
Episodic Memory ◽  
Cortical Thickness ◽  
Healthy Aging ◽  
Memory Task ◽  
Spatial Context ◽  
Cross Sectional ◽  
Adult Lifespan ◽  
Age Related ◽  
Context Memory

AbstractHealthy aging is associated with declines in episodic memory and with widespread cortical thinning. These parallel declines suggest that age-related changes in cortical thickness may contribute to episodic memory decline with age. The current study uses a cross-sectional study design to examine whether regional cortical thickness mediates the relationship between age and episodic memory, as measured by a context memory task for faces. Mediation and conditional mediation models were tested using bootstrapping in order to determine how age-associated changes in regional cortical thickness mediated age-associated changes in performance on the context memory task. We observed that right superior frontal cortical thickness conditionally mediated spatial context memory only in middle-aged and older adults; and right caudal middle frontal cortical thickness conditionally mediated context memory only in older adults. Left lingual cortical thickness mediated spatial context memory across the adult lifespan, but this effect was most evident at midlife. Right parahippocampal cortical thickness mediated context memory, independent of age. We conclude that our cortical thickness results were generally consistent with the posterior-to-anterior shift in aging hypothesis (Davis et al., 2008) for episodic memory.

Cortical Thickness in Cocaine Use Disorder and its Relation to Age-Related Brain Atrophy

2021 ◽  
Vol 89 (9) ◽  
pp. S368-S369
Author(s):  
Lucca Pizzato Tondo ◽  
Wyllians Vendramini Borelli ◽  
Leonardo Melo Rothmann ◽  
Eduardo Leal-Conceição ◽  
Alexandre Rosa Franco ◽  
...  
Keyword(s):  
Cortical Thickness ◽  
Brain Atrophy ◽  
Cocaine Use ◽  
Age Related

scholarly journals Modeling Hearing Loss Progression and Asymmetry in the Older Old: A National Population-Based Survey

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 214-215
Author(s):  
Rahul Sharma ◽  
Anil Lalwani ◽  
Justin Golub
Keyword(s):  
Hearing Loss ◽  
Pure Tone ◽  
Population Level ◽  
Population Based ◽  
National Database ◽  
Cross Sectional ◽  
Adult Lifespan ◽  
Pure Tone Average ◽  
Age Related ◽  
Public Datasets

Abstract The progression and asymmetry of age-related hearing loss has not been well characterized in those 80 years of age and older because public datasets mask upper extremes of age to protect anonymity. We aimed to model the progression and asymmetry of hearing loss in the older old using a representative, national database. This was a cross-sectional, multicentered US epidemiologic analysis using the National Health and Nutrition Examination Study (NHANES) 2005-2006, 2009-2010, and 2011-2012 cycles. Subjects included non-institutionalized, civilian adults 80 years and older (n=621). Federal security clearance was granted to access publicly-restricted age data. Outcome measures included pure-tone average air conduction thresholds and the 4-frequency pure tone average (PTA). 621 subjects were 80 years old or older (mean=84.2 years, range=80-104 years), representing 10,600,197 Americans. Hearing loss exhibited constant acceleration across the adult lifespan at a rate of 0.0052 dB/year2 (95% CI = 0.0049, 0.0055). Compounded over a lifetime, the velocity of hearing loss would increase five-fold, from 0.2 dB loss/year at age 20 to 1 dB loss/year at age 100. This model predicted mean PTA within 2 dB of accuracy for most ages between 20 and 100 years. There was no change in the asymmetry of hearing loss with increasing age over 80 years (linear regression coefficient of asymmetry over age=0.07 (95% CI=-0.01, 0.24). In conclusion, hearing loss steadily and predictably accelerates across the adult lifespan to at least age 100, becoming near-universal. These population-level statistics will guide treatment and policy recommendations for hearing health in the older old.

scholarly journals Online Assessment of Cognitive Functioning: A Reliable Alternative to Laboratory Testing?

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 576-577
Author(s):  
Maximilian Haas ◽  
Sascha Zuber ◽  
David Framorando ◽  
Elissa El Khawli ◽  
Susanne Scheibe ◽  
...  
Keyword(s):  
Cognitive Functioning ◽  
Cognitive Abilities ◽  
Rapid Assessment ◽  
Cognitive Disorders ◽  
Assessment Tools ◽  
Adult Lifespan ◽  
Face To Face ◽  
Age Related ◽  
Online Tools

Abstract As the population ages, risks for cognitive decline threaten independence and quality of life for older adults. Classically, psychological assessment tools to evaluate cognitive functioning are administered in face-to-face laboratory sessions, which is time- and resource-consuming. With the aim of reducing such costs, the present study set out to develop and validate two new online tools, allowing a rapid assessment of general cognitive abilities and of prospective memory. We collected data from 250 participants equally spread across the adult lifespan (aged 18 – 86). Results suggest that performance assessed via these newly developed online tools is comparable to performance in face-to-face laboratory settings. Our findings thereby indicate that these online tools can reliably measure cognitive functioning across the lifespan at a reduced cost, which may help detect individuals at risk of developing age-related cognitive disorders.

Age-Related Effects on Interoceptive Accuracy, General Interoceptive Sensibility, and Specific Interoceptive Sensibility

2020 ◽  
Vol 27 (4) ◽  
pp. 154-170 ◽  
Author(s):  
L. Nusser ◽  
O. Pollatos ◽  
D. Zimprich
Keyword(s):  
Structural Equation ◽  
Empirical Support ◽  
Self Report ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Adult Lifespan ◽  
Age Related ◽  
Physical Diseases ◽  
Interoceptive Accuracy ◽  
Subjective Belief

Abstract. Background: The current research into interoception distinguishes between interoceptive accuracy (IAcc), the accurate detection of internal sensations (e.g., heartbeats) as measured by performance on objective IAcc tasks, and interoceptive sensibility (IS), the subjective belief concerning one’s own experience of internal sensations as measured either through self-report questionnaires or through one’s confidence in the accuracy during an IAcc task. Aims: As the two measures of IS, however, are usually uncorrelated and show differential relationships to IAcc, we suggest different types of IS, a general IS and a specific IS. Further, based on a growing body of research linking IAcc and IS to physical and mental diseases, the development of interoception across the adult lifespan is of importance. Methods: Using Structural Equation Modeling the present paper investigates the relationships among IAcc assessed by a heartbeat counting task, and the two proposed dimensions of IS in 138 participants ( Mage = 42.67, SDage = 18.77). Furthermore, we examine age-related differences in IAcc, as well as in general and specific IS. Results: In terms of the relationship between the three dimensions, general and specific IS were weakly correlated and exhibited different relationships to IAcc. Further, we found different age effects on the three interoceptive dimensions. Whereas IAcc decreased with age, specific IS tend to increase with age, and general IS remained unaffected by age. Conclusion: The findings provide further empirical support for a dissociation between general and specific IS and raised important questions concerning the relation between interoceptive accuracy and the emergence of physical diseases in older age.

scholarly journals Age differentiation within grey matter, white matter and between memory and white matter in an adult lifespan cohort

2017 ◽  
Author(s):  
Susanne M. M. de Mooij ◽  
Richard N. A. Henson ◽  
Lourens J. Waldorp ◽  
Cam-CAN ◽  
Rogier A. Kievit
Keyword(s):  
White Matter ◽  
Cognitive Functions ◽  
Structural Equation ◽  
Grey Matter ◽  
Fluid Intelligence ◽  
Cognitive Factors ◽  
Equation Modeling ◽  
Grey Matter Volume ◽  
Adult Lifespan ◽  
Age Related

AbstractIt is well-established that brain structures and cognitive functions change across the lifespan. A longstanding hypothesis called age differentiation additionally posits that the relations between cognitive functions also change with age. To date however, evidence for age-related differentiation is mixed, and no study has examined differentiation of the relationship between brain and cognition. Here we use multi-group Structural Equation Modeling and SEM Trees to study differences within and between brain and cognition across the adult lifespan (18-88 years) in a large (N>646, closely matched across sexes), population-derived sample of healthy human adults from the Cambridge Centre for Ageing and Neuroscience (www.cam-can.org). After factor analyses of grey-matter volume (from T1- and T2-weighted MRI) and white-matter organisation (fractional anisotropy from Diffusion-weighted MRI), we found evidence for differentiation of grey and white matter, such that the covariance between brain factors decreased with age. However, we found no evidence for age differentiation between fluid intelligence, language and memory, suggesting a relatively stable covariance pattern between cognitive factors. Finally, we observed a specific pattern of age differentiation between brain and cognitive factors, such that a white matter factor, which loaded most strongly on the hippocampal cingulum, became less correlated with memory performance in later life. These patterns are compatible with reorganization of cognitive functions in the face of neural decline, and/or with the emergence of specific subpopulations in old age.Significance statementThe theory of age differentiation posits age-related changes in the relationships between cognitive domains, either weakening (differentiation) or strengthening (de-differentiation), but evidence for this hypothesis is mixed. Using age-varying covariance models in a large cross-sectional adult lifespan sample, we found age-related reductions in the covariance among both brain measures (neural differentiation), but no covariance change between cognitive factors of fluid intelligence, language and memory. We also observed evidence of uncoupling (differentiation) between a white matter factor and cognitive factors in older age, most strongly for memory. Together, our findings support age-related differentiation as a complex, multifaceted pattern that differs for brain and cognition, and discuss several mechanisms that might explain the changing relationship between brain and cognition.

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