Regional Frontal Cortical Volumes Decrease Differentially in Aging: An MRI Study to Compare Volumetric Approaches and Voxel-Based Morphometry
By D. Tisserand, Jens C. Pruessner, Ernesto J. Sanz-Arigita, M. Boxtel, Alan C. Evans, Jelle Jolles, Harry B. M. Uylings. NeuroImage, 2002
419 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/8a99e36ea9d060c442cdf12f6e4c56372b56b10d
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
- Anders M. Fjell
- Kristine B. Walhovd
- Bruce Fischl
- David H. Salat
- Douglas N. Greve
- Mara Mather
- A. M. Dale
- Lars Tjelta Westlye
In Radiology, Nuclear Medicine and Imaging
- Bruce Fischl
- Anders M. Fjell
- Kristine B. Walhovd
- David H. Salat
- Douglas N. Greve
- Lars Tjelta Westlye
- A. M. Dale
- John D. E. Gabrieli
Citations in the corpus
- Aging, sexual dimorphism, and hemispheric asymmetry of the cerebral cortex: replicability of regional differences in volume. (2004, result): “However, as demonstrated by a recent study [ 76 ], manual, landmark-based volume measures and semi-automatic assessment based on local MR signal intensity address different aspects of neuroanatomy.”
- NEUROECONOMICS: A CRITICAL RECONSIDERATION (2008, methodology): “Tisserand et al. (2002) examine the impact on inferences about the effect of ageing on regional frontal cortical volumes of using a labor-intensive, manual tracing method, a semi-automatic, partialbrain, volumetric method, and the now-popular whole-brain, voxel-based morphometric methods.”
- High consistency of regional cortical thinning in aging across multiple samples. (2009, methodology): “4) Different segmentation procedures: The tools used to segment the MR scans into tissue classes, and the procedures used to spatially normalize the data, may have a huge impact on the results (Tisserand et al. 2002).”
- Differential aging of the brain: patterns, cognitive correlates and modifiers. (2006, neutral): “, 2002) and prominent striate cortex atrophy (Tisserand et al., 2002) reported in VBM investigations are not reported in the volumetric literature.”
- The Role of Cognitive Control in Older Adults' Emotional Well-Being (2008, background): “For example, the prefrontal cortex is subject to more atrophy than other brain regions (Coffey et al., 1992; Raz, 2000; Resnick, Pham, Kraut, Zonderman , & Davatzikos, 2003) with the lateral prefrontal cortex encountering the greatest decline of any prefrontal subregion (Tisserand et al., 2002).”
- Meta-analysis of gray matter anomalies in schizophrenia: application of anatomic likelihood estimation and network analysis. (2008, neutral): “VBM analyses capture similar information as traditional region of interest methods (36,48–50), but they may overrepresent group differences in areas of high anatomic variability (50,51).”
- Structural Brain Changes in Aging: Courses, Causes and Cognitive Consequences (2010, result): “Course Not related to age Effects Eleven studies found reductions in total cerebellar volume, cerebellar GM, cerebella WM, or other cerebellar compartments [24, 32, 48, 52, 62, 64, 66, 69-72], one study found η effects on cerebellar WM [70], in contrast to a more recent study [73], one study observe”
- Insights into the ageing mind: a view from cognitive neuroscience (2004, background): “In healthy older adults, the largest declines in volume are in lateral regions of the PF”
- A meta-analytic review of emotion recognition and aging: implications for neuropsychological models of aging. (2008, background): “…al., 2005; Moscovitch and Winocur, 1992 Q1; Phillips and Henry, 2005; Raz, 2000; West, 2000), and there is evidence that the OFC degrades even more rapidly than other frontal areas (Convit et al., 2001; LaMar and Resnick, 2004; Raz et al., 1997; Resnick et al., 2000, 2003; Tisserand et al., 2002).”
- Regional deficits in brain volume in schizophrenia: a meta-analysis of voxel-based morphometry studies. (2005, background): “The level of sensitivity of voxel-based morphometry, as well as its validation with region of interest analysis, has yet to be fully determined (18, 43 ).”