Longitudinal Changes in Cortical Thickness Associated with Normal Aging

By M. Thambisetty, J. Wan, A. Carass, Y. An, Jerry L Prince, Susan M. Resnick. NeuroImage, 2010

341 citations recorded by the source corpus.

Imaging studies of anatomic changes in regional gray matter volumes and cortical thickness have documented age effects in many brain regions, but the majority of such studies have been cross-sectional investigations of individuals studied at a single point in time. In this study, using serial imaging assessments of participants in the Baltimore Longitudinal Study of Aging (BLSA), we investigate longitudinal changes in cortical thickness during aging in a cohort of 66 older adults (mean age 68.78; sd. 6.6; range 60-84 at baseline) without dementia. We used the Cortical Reconstruction Using Implicit Surface Evolution CRUISE suite of algorithms to automatically generate a reconstruction of the cortical surface and identify twenty gyral based regions of interest per hemisphere. Using mixed effects regression, we investigated longitudinal changes in these regions over a mean follow-up interval of 8 years. The main finding in this study is that age-related decline in cortical thickness is widespread, but shows an anterior-posterior gradient with frontal and parietal regions, in general, exhibiting greater rates of decline than temporal and occipital. There were fewer regions in the right hemisphere showing statistically significant age-associated longitudinal decreases in mean cortical thickness. Males showed greater rates of decline in the middle frontal, inferior parietal, parahippocampal, postcentral, and superior temporal gyri in the left hemisphere, right precuneus and bilaterally in the superior parietal and cingulate regions. Significant nonlinear changes over time were observed in the postcentral, precentral, and orbitofrontal gyri on the left and inferior parietal, cingulate, and orbitofrontal gyri on the right.

Subfields: Physiology, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/cce6fcc9fe9d74ff8c1077a8189ea1dab9c7e4d3

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Citations in the corpus

What is normal in normal aging? Effects of Aging, Amyloid and Alzheimer’s Disease on the Cerebral Cortex and the Hippocampus (2014, background): “…studies, several have found modest acceleration of regional decline with increasing age (Raz et al., 2004a,b, 2005, 2010; Du et al., 2006; Driscoll et al., 2009; Fjell et al., 2009a; Schuff et al., 2010; Thambisetty et al., 2010; Holland et al., 2012a; Taki et al., 2013; Pfefferbaum et al., 2013).”
Anatomically motivated modeling of cortical laminae (2014, methodology): “These algorithms have previously been used to measure cortical thickness (Thambisetty et al., 2010) and to construct equidistant intracortical laminae (Trampel et al.”
Random Forest Regression for Magnetic Resonance Image Synthesis (2016, neutral): “…2013; Konukoglu et al., 2013; Ye et al., 2013; Iglesias et al., 2013; Roy et al., 2013a,b; Jog et al., 2014a; Roy et al., 2014; Burgos et al., 2014; van Tulder and de Bruijne, 2015; Jog et al., 2015a; Cardoso et al., 2015; Van Nguyen et al., 2015; Bahrami et al., 2015; Zikic et al., 2014 ) and the…”
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images (2017, neutral): “, 2015), conducting large-scale studies with images acquired at all ages (Moeskops et al., 2016; Thambisetty et al., 2010), making surgical planning and performing image-guided interventions (Despotović et al.”