Regional brain changes in aging healthy adults: general trends, individual differences and modifiers.
By Naftali Raz, Ulman E. R. Lindenberger, Karen M. Rodrigue, Kristen M. Kennedy, Denise Head, Adrienne Williamson, Cheryl L. Dahle, D. Gerstorf, J. Acker. Cerebral Cortex, 2005
2,884 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Psychiatry and Mental health
View Paper: https://www.semanticscholar.org/paper/e009873ea9e2f64e9a47c956325700607697bb66
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Bruce Fischl
- Randy L. Buckner
- Anders M. Fjell
- Kristine B. Walhovd
- David H. Salat
- Douglas N. Greve
- Arthur W. Toga
- A. M. Dale
In Psychiatry and Mental health
- Randy L. Buckner
- Bruce Fischl
- John C. Morris
- Daniel S. Marcus
- A. Kramer
- P. Thomas Schoenemann
- Anders M. Fjell
- Kristine B. Walhovd
Citations in the corpus
- High consistency of regional cortical thinning in aging across multiple samples. (2009, background): “However, cumulative evidence also indicates that brain aging is not uniform, and significant heterogeneity of age effects is observed across brain regions (Raz et al. 1997, 2005; Good et al. 2001; Jernigan et al. 2001; Raz, Gunning-Dixon, et al. 2004; Salat et al. 2004).”
- Assessing the effects of age on long white matter tracts using diffusion tensor tractography (2009, methodology): “DTI studies using ROI and VBM approaches have generally reported greater age effects in frontal compared to primary posterior cortices, though age-related decline in white matter volume and integrity occurs throughout the brain (Head et al., 2004; Madden et al., 2006, 2007; O'Sullivan et al., 2001; ”
- Regional specificity of MRI contrast parameter changes in normal ageing revealed by voxel-based quantification (VBQ) (2011, result): “The demonstrated anterior cerebellar lobe volume changes corroborate volumetric results (Kennedy and Raz, 2005; Raz et al., 2005) and histological findings showing 40% reduction of the total number of granule and Purkinje cells and a 28% loss of anterior cerebellar lobe cortical volume with ageing…”
- Age-related differences in white matter microstructure: Region-specific patterns of diffusivity (2010, background): “The present findings suggest that the hippocampal component of age-related episodic memory deficits might not only be due to grey matter shrinkage (Raz et al., 2005), but also reflect alterations in hippocampal WM connections (see also Persson et al.”
- Healthy mind in healthy body? A review of sensorimotor–cognitive interdependencies in old age (2006, background): “Older brains show signs of neural decline, like cerebral atrophy in the frontal cortex, gray matter loss [70], losses in structural connectivity, decreases in dopamine receptor density [6, 7], and demyelination ([69]; for a summary, see [68]).”
- Social and Emotional Aging (2010, background): “Neurons reduce in size and density, and damage to the mitochondria and loss of myelinated fibers are more prevalent with age when comparing the brains of consecutively older adults who are age 60 and older (see review by Raz 2005; Raz et al. 2005).”
- Moving toward a neuroplasticity view of bilingualism, executive control, and aging (2014, background): “Advanced aging is generally associated with reductions in gray and white matter density (atrophy; e.g., Kennedy & Raz, 2009), with the frontal lobes most susceptible to deterioration (McGinnis, Brickhouse, Pascual, & Dickerson, 2011; Raz, 2000; Raz et al., 2005; West, 1996).”
- Evolution of hippocampal shapes across the human lifespan (2013, background): “VC 2012 Wiley Periodicals, Inc.”
- Exercise training increases size of hippocampus and improves memory (2011, methodology): “D of the hippocampus precedes and leads to memory impairment in late adulthood (1, 2).”
- Predicting Age Using Neuroimaging: Innovative Brain Ageing Biomarkers. (2017, positive): “However, pronounced individual differences are also seen in measures of the brain as people age [3].”