Normal brain development and aging: quantitative analysis at in vivo MR imaging in healthy volunteers.

By Eric Courchesne, H. J. Chisum, Jeanne Townsend, Angilene Cowles, James W Covington, B. Egaas, Mark Harwood, Stuart Hinds, G. Press. Radiology, 2000

1,075 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/b656663524afac3915cf9316f28920371bf6aa03

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Citations in the corpus

Longitudinal changes in patients with traumatic brain injury assessed with diffusion-tensor and volumetric imaging (2008, background): “In fact, the pattern of white matter volume throughout the lifespan has been shown to increase during the earlier part of the lifespan, in particular throughout childhood and adolescence, continuing to increase (albeit at a slower rate) until reaching a plateau in the 4th decade of life (Courchesne ”
Multi-spectral brain tissue segmentation using automatically trained k-Nearest-Neighbor classification (2007, methodology): “…set is not really a parameter, since it is theoretically shown that increasing the number of samples will improve the performance; in the limit, with an infinite number of training samples, kNN approaches the theoretically optimal Bayes classifier (Cover, 1968a,b; Stone, 1977; Devroye, 1981).”
Longitudinal Changes in Cortical Thickness Associated with Normal Aging (2010, background): “Another feature of the majority of structural neuroimaging studies of the aging brain is their cross-sectional design (Blatter et al., 1995; Courchesne et al., 2000; Pfefferbaum et al., 1994; Sowell et al., 2004).”
The Basics of Brain Development (2010, background): “This question was addressed by McConnell and colleagues (McConnell and Kaznowski 1991; Frantz and McConnell 1996; Desai and McConnell 2000) in a series of studies that asked whether different subsets of progenitor cells produce specific kinds of neurons, or if the same progenitor is capable of…”
Normal Development of Brain Circuits (2010, background): “White matter volumes continue to increase through childhood, adolescence, and adulthood (Bartzokis et al, 2003; Benes et al, 1994; Courchesne et al, 2000; Giedd et al, 1999; Matsuzawa et al, 2001; Paus et al, 2001; Sowell et al, 2003a).”
Relationship between hippocampal volume and memory ability in healthy individuals across the lifespan: review and meta-analysis. (2004, background): “…there is universal agreement that adult brain changes prior to age 50 years consist of a decline in gray matter volume but not white matter volume (Courchesne et al., 2000; Ge et al., 2002; Gur et al., 1999; Pfefferbaum et al., 1994; Raz et al., 1998; Sullivan et al., 2004), so that the potential…”
Life-span changes of the human brain white matter: diffusion tensor imaging (DTI) and volumetry. (2010, background): “Further, suggested by evidence of an inversed ontogenetic WM deterioration in aging (Courchesne et al. 2000; Raz 2000; Bartzokis 2004; Kochunov et al. 2007; Davis et al. 2009; Raz and Kennedy 2009; Kennedy and Raz 2009b), so-called retrogenesis, we expected early age-related changes in areas…”
Sex differences in anxiety and depression clinical perspectives (2014, background): “Sex differences in brain structure and function are abundant and fluctuate across development (Courchesne et al., 2000; Lampl and Jeanty, 2003; Patton et al., 2004; Lenroot et al., 2007; Raznahana et al., 2013; Ingalhalikar et al., 2014).”
Head size, age and gender adjustment in MRI studies: a necessary nuisance? (2010, methodology): “This surface was then used as the starting point for a deformable surface algorithm to find the grey/white and grey/CSF surfaces.”
Relative Size versus Controlling for Size (2005, background): “The adult human male/female brain-weight ratio averages about 1.10 (Courchesne et al. 2000, Dekaban and Sadowsky 1978, Ho et al. 1980, Peters et al. 1998, Svennerholm, Boström, and Jungbjer 1997).”
Diffusion tensor imaging of adult age differences in cerebral white matter: relation to response time (2004, background): “The changes with age in white matter volume, assessed by MRI, are more often reported to be nonlinear, with the volume remaining relatively constant during middle adulthood but declining more precipitously after the sixth decade (Courchesne et al., 2000).”
Measurement of atrophy in multiple sclerosis: pathological basis, methodological aspects and clinical relevance. (2002, background): “In comparison, estimated rates of reduction for healthy controls vary from 0.1±0.3% p.a. (Gur et al., 1991; Coffey et al., 1992; Cowell et al., 1994; Pfefferbaum et al., 1994; Courchesne et al., 2000).”
Unbiased Average Age-Appropriate Atlases for Pediatric Studies (2010, neutral): “…al., 1996a,b, 1999; Reiss et al., 1996; Lange et al., 1997; Kennedy et al., 1998, 2003; Paus et al., 1999; Sowell et al., 1999, 2002, 2003, 2004a,b; Courchesne et al., 2000; Bartzokis et al., 2001; Blanton et al., 2001, 2004; De Bellis et al., 2001; Durston et al., 2001; Mazziotta et al., 2001a,b;…”
Longitudinal magnetic resonance imaging study of rhesus monkey brain development (2006, methodology): “, 1991) and development of the human brain from late childhood through adulthood has been investigated in crosssectional (Pfefferbaum et al., 1994; Caviness et al., 1996; Reiss et al., 1996; Iwasaki et al., 1997; Paus et al., 1999; Courchesne et al., 2000; De Bellis et al., 2001; Matsuzawa et al., 2”
The Feasibility of a Common Stereotactic Space for Children and Adults in fMRI Studies of Development (2002, background): “The ratio of apparent gray to white matter volumes changes, with gray matter increasing until about age 8 and then decreasing and white matter increasing until about age 30 before decreasing (Pfefferbaum et al., 1994; Giedd et al., 1999; Sowell et al., 1999; Courchesne et al., 2000).”