2004
DOI: 10.1016/j.neuropsychologia.2004.02.009
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Memory and executive function in older adults: relationships with temporal and prefrontal gray matter volumes and white matter hyperintensities

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Cited by 194 publications
(176 citation statements)
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“…So far, attempts at linking age-related structural alterations to executive functioning have yielded mixed results. Fjell et al [2006], Ziegler et al [2010], and Van Petten et al [2004] reported no correlation between cortical thickness and composite scores of various executive measures, whereas Kochunov et al [2009] found that thicker cortex in many regions was related to better executive performance in adults between 30 and 90 years, but not in adults between 19 and 26 years. These correlations, however, were no longer significant after controlling for age [Kochunov et al, 2009].…”
Section: Introductionmentioning
confidence: 97%
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“…So far, attempts at linking age-related structural alterations to executive functioning have yielded mixed results. Fjell et al [2006], Ziegler et al [2010], and Van Petten et al [2004] reported no correlation between cortical thickness and composite scores of various executive measures, whereas Kochunov et al [2009] found that thicker cortex in many regions was related to better executive performance in adults between 30 and 90 years, but not in adults between 19 and 26 years. These correlations, however, were no longer significant after controlling for age [Kochunov et al, 2009].…”
Section: Introductionmentioning
confidence: 97%
“…This might reflect relatively small sample sizes, ElderkinThompson et al, 2008, n ¼ 23;Gur et al, 1998, n ¼ 17;Sanfilipo et al, 2002, n ¼ 27, or stem from combining the WCST with other tests, whose neural substrates may not be overlapping [Van Petten et al, 2004]. In addition to issues regarding sample size and use of composite scores of executive functioning, the studies reporting negative results are affected by at least one of the following limitations: (a) use of volumetric measures, which confound cortical thickness, surface area, and folding [Im et al, 2006a,b]; a direct comparison of volumetric measures based on voxel-based morphometry and cortical thickness measures in 48 healthy adults aged 22-60 years revealed that volumetric measures were less sensitive, had lower signal-to-noise ratio, lower T-scores, and were more confounded by overall brain size than thickness measures [Hutton et al 2009]; (b) gross definition of frontal volume or frontal gyri, pooling together functionally dissociable areas, such as the dorsal and ventrolateral PFC, the orbitofrontal cortex, and premotor areas; and (c) investigation of frontal-lobe volume only, although the WCST is no longer considered a specific test of prefrontal function [Nyhus and Barcelo, 2009].…”
Section: Introductionmentioning
confidence: 99%
“…All research with human participants was reviewed and approved by the Duke University Institutional Review Board, and informed consent was obtained for all participants. 35,41,43,46,49,51,[55][56][57]. This decrease in parenchymal volume has generally been attributed to atrophy of gray matter [5,8,21,28,35,41,43,45,48; but see [23] for an exception], particularly cortical thinning [50], and may result from cell-body atrophy or the outright death of cells [44].…”
Section: Introductionmentioning
confidence: 99%
“…In many studies, the right hemisphere is found to be larger than the left [22,45,59,46]. For specific brain regions, this relation may not be as consistent, with some structures larger in the left hemisphere and others larger in the right [45,46,48,54,56,58]. Studies of the basal ganglia have been particularly contradictory; 2 studies report a larger right caudate [27,47] and 2 report a larger left caudate [20,25].…”
Section: Introductionmentioning
confidence: 99%
“…Flood and Coleman 1988;Gur et al 1991). However, later reports showed that the cognitive decline in elderly is not unequivocally associated with singular changes like shrinkage of the brain volume (Van Petten 2004;Van Petten et al 2004), white matter atrophy (Bartzokis 2004), neuron loss (Morrison and Hof 1997) or synapse loss (Masliah et al 2006), as originally assumed. Multiple sources or their interaction are better suited to explain the cognitive decline in aging.…”
Section: Neuronal Plasticity and Compensation In Agingmentioning
confidence: 95%