Regional and progressive thinning of the cortical ribbon in Huntington’s disease

By H. Rosas, A. Liu, S. Hersch, Maureen Glessner, R. Ferrante, David H. Salat, A. V. D. van der Kouwe, B. Jenkins, A. M. Dale, Bruce Fischl. 2002

1,139 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology

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Citations in the corpus

Visual Feature Attribution Using Wasserstein GANs (2017, background): “Statistical analysis of medical images for identifying disease effects has been an instrumental tool for various diseases and disorders [56, 46, 9] as well as other nondisease related factors [17, 38, 28, 59, 42, 55].”
Cortical thickness analysis examined through power analysis and a population simulation (2005, neutral): “…et al., 2000; Kabani et al., 2001; MacDonald, 1997; MacDonald et al., 2000; Meyer et al., 1996; Miller et al., 2000; Tosun et al., 2001; Yezzi and Prince, 2003; Zeng et al., 1999) and even fewer on normal or abnormal populations (Fischl and Dale, 2000; MacDonald et al., 2000; Rosas et al., 2002).”
Brain maturation in adolescence and young adulthood: regional age-related changes in cortical thickness and white matter volume and microstructure. (2010, methodology): “The measurement technique used here has been validated via histological (Rosas et al. 2002) as well as manual measurements (Kuperberg et al.”
Mapping anatomical correlations across cerebral cortex (MACACC) using cortical thickness from MRI (2006, methodology): “Closely related methods have also been applied to Huntington’s (Rosas et al., 2002) and normal ageing (Salat et al.”
Automated MRI measures identify individuals with mild cognitive impairment and Alzheimer's disease (2009, neutral): “This cortical thickness measurement technique has been validated via histological (Rosas et al., 2002) as well as manual measurements (Salat et al.”
Detection of cortical thickness correlates of cognitive performance: Reliability across MRI scan sessions, scanners, and field strengths (2008, methodology): “…cortical thickness measurements has been performed against manual measurements derived from both in vivo and post-mortem MRI brain scans (Rosas et al., 2002b; Kuperberg et al., 2003a; Salat et al., 2004), the reliability of measures of this fundamental morphometric property of the brain…”
Meditation experience is associated with increased cortical thickness (2005, methodology): “Many factors including age, sex, genetics, neuropathology and psychopathology [4,5,14,15], however, influence the thickness of cortex nonspecifically, confounding these analyses.”
The Effects of FreeSurfer Version, Workstation Type, and Macintosh Operating System Version on Anatomical Volume and Cortical Thickness Measurements (2012, methodology): “The measurement of cortical thickness was validated against histological analysis [6] and manual measurements [7,8].”
FreeSurfer (2012, methodology): “This includes direct comparison of the thickness measures we compute against histological thickness measures in the same tissue (Rosas et al., 2002), using published measures of average thickness such as von Economo (1929) in motor cortex, somatosensory cortex, gyral cortex, sulcal cortex and…”
The LONI Pipeline Processing Environment (2003, background): “Studies focused on gross anatomic structure (Wright et al., 1995; Rapoport et al., 1999; Rosas et al., 2002; Sowell et al., 2002), functional anatomy (Woods, 1996; Corbetta et al., 1998; Worsley et al., 1998; Dumoulin et al., 2000; Zeineh et al., 2001; Pouratian et al., 2002), various physiological…”
Molecular mechanisms and potential therapeutical targets in Huntington's disease. (2010, background): “Notably, cortical thinning has been found before clinical onset, is progressive with measurable changes occurring in as little as a year, and is well correlated with performance on several cognitive tests (477).”
Age-Associated Reductions in Cerebral Blood Flow Are Independent from Regional Atrophy (2010, methodology): “The resultant maps are sensitive to sub-millimeter differences in thickness between groups, and have been validated against histological analysis (Rosas et al., 2002) and manual measurements (Salat et al.”
Regionally localized thinning of the cerebral cortex in schizophrenia. (2003, methodology): “The accuracy of the thickness measures derived from this technique have been validated by direct comparisons with manual measures on postmortem brains.(30)”
Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases (2016, background): “Such disease-eﬀect maps have been studied for various neurodegenerative conditions in the literature [4,5,6].”