Age‐related decline in brain white matter anisotropy measured with spatially corrected echo‐planar diffusion tensor imaging

By Adolf Pfefferbaum, Edith V. Sullivan, M. Hedehus, Kelvin O. Lim, Elfar Adalsteinsson, Michael E. Moseley. Magnetic Resonance in Medicine, 2000

621 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/01baa03eb8ba03d61e3dcc7a3deb1e40bf8a5b47

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

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Diffusion tensor imaging of neurodevelopment in children and young adults (2005, background): “In adult studies (ages 20 years and above), general maturational trends of increasing Trace/3 ADC and decreasing FAwere found (Abe et al., 2002; Bhagat and Beaulieu, 2004; Pfefferbaum et al., 2000).”
Diffusion tensor imaging of white matter tract evolution over the lifespan (2012, background): “demonstrate opposite trends, with FA decreasing and MD increasing during old age (Abe et al., 2002; Hsu et al., 2010; Ota et al., 2006; Pfefferbaum et al., 2000).”
Memory and executive function in aging and AD: multiple factors that cause decline and reserve factors that compensate. (2004, background): “…not always, preferential for anterior brain on executive processes that are disrupted in aging (see regions, including frontal lobar and anterior callosal reSchacter et al., 1991; Johnson et al., 1993; West, 1996; gions (Pfefferbaum et al., 2000; O’Sullivan et al., 2001; for relevant discussion).”
Diffusion MRI at 25: Exploring brain tissue structure and function (2012, methodology): “Effects of aging on white matter ordering can now be studied (Moseley, 2002; Pfefferbaum et al., 2000), but DTI can also be used to monitor the myelination process in fetuses, babies and during childhood (Schmithorst et al., 2002; Dubois et al. 2006).”
Diffusion tensor imaging of adult age differences in cerebral white matter: relation to response time (2004, result): “Our data differ from those of O'Sullivan et al. (2001), Pfefferbaum et al. (2000), and Sullivan et al. (2001), however, in that we did not observe a differential age-related decline in FA for the more anterior regions of the brain, which is a trend that all three of the previous studies reported.”
Frontal circuitry degradation marks healthy adult aging: Evidence from diffusion tensor imaging (2005, background): “…normal healthy men and women (Chun et al., 2000; Head et al., 2004; Nusbaum et al., 2001; O'Sullivan et al., 2001; Pfefferbaum and Sullivan, 2003; Pfefferbaum et al., 2000a; Sullivan et al., 2001; but see Chepuri et al., 2002 ), even when volume declines were not detectable [for review…”
Motor control and aging: links to age-related brain structural, functional, and biochemical effects. (2010, positive): “Consistent with the anterior to posterior gradient, there were larger age effects in fractional anisotropy in the genu compared with the splenium, consistent with other investigations (Pfefferbaum et al., 2000; Salat et al., 2005; Sullivan et al., in press).”
REGIONAL WHITE MATTER VOLUME DIFFERENCES IN NONDEMENTED AGING AND ALZHEIMER’S DISEASE (2008, background): “…(Armstrong et al., 2004; Bartzokis et al., 2003; Choi et al., 2005; Head et al., 2004; Madden et al., 2004; Pfefferbaum and Sullivan, 2003; Pfefferbaum et al., 2000; Rose et al., 2000; Rose et al., 2006; Salat et al., 2005a,b; Sandson et al., 1999; Sullivan et al., 2001) and complement…”
Diffusion tensor MR imaging in diffuse axonal injury. (2002, background): “This is important since diffusion anisotropy is inversely proportional to the age of the subject (44).”
Differential aging of the brain: patterns, cognitive correlates and modifiers. (2006, positive): “Another marker of fiber integrity, fractional anisotropy (FA) decreases with age in centrum semiovale and parietal pericallosal regions, the genu of the corpus callosum and in some samples, in the splenium (Abe et al., 2002; Pfefferbaum et al., 2000; Zhang et al., 2005).”
Cognitive Neuroscience of Aging (2008, background): “The effect of structural changes with age on cognition has been documented (e.g., DeCarli et al. 1995; Garde et al. 2000; Gunning-Dixon & Raz 2000; Pfefferbaum et al. 2000), and a few studies have recently looked at the effect of these structural changes on functional activation.”
Age-related alterations in white matter microstructure measured by diffusion tensor imaging. (2005, methodology): “Prior studies using DTI have demonstrated age-related changes in anisotropy in the genu of the corpus callosum [ 42 ], anterior WM [37,41], and periventricular WM [36].”
Using diffusion imaging to study human connectional anatomy. (2009, background): “Fractional anisotropy varies with development (Barnea-Goraly et al. 2005, Giorgio et al. 2008), aging (Pfefferbaum et al. 2000, Salat et al. 2005), and disease (Cercignani et al. 2001, Ciccarelli et al. 2008).”
Age-related differences in white matter microstructure: Region-specific patterns of diffusivity (2010, background): “…the prefrontal WM (Bucur et al., 2008; Camara et al., 2007; Grieve et al., 2007; Hsu et al., 2008; Hugenschmidt et al., 2008; Madden et al., 2004; Pfefferbaum et al., 2000a; Salat et al., 2005), the sagittal stratum (Pfefferbaum et al., 2005), the posterior thalamic radiations (Hugenschmidt et…”
Diffusion tensor imaging: serial quantitation of white matter tract maturity in premature newborns (2004, background): “Variability in corpus callosum measures has been reported by others as well, and the cause is thought to be due to increased noise from CSF pulsatile motion artifacts in regions bordering the ventricles (Mukherjee et al., 2001, 2002; Pfefferbaum et al., 2000).”
Disruption of large-scale brain systems in advanced aging. (2007, background): “These patterns are qualitatively consistent with the widespread white matter changes in aging that may preferentially affect anterior brain regions (O’Sullivan et al., 2001; Pfefferbaum et al., 2000, 2005; Head et al., 2004; Salat et al., 2005).”