A comprehensive study of gray matter loss in patients with Alzheimer's disease using optimized voxel-based morphometry
By G. Karas, Emma J. Burton, Serge A. R. B. Rombouts, Ronald A. van Schijndel, John T. O'Brien, Philip Scheltens, Ian G. McKeith, E. David Williams, C. Ballard, Frederik Barkhof. NeuroImage, 2003
433 citations recorded by the source corpus.
Subfields: Physiology, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/9154d3f90c7c54da78f53608c9a16e39df457cba
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Physiology
- Reisa A. Sperling
- Philip Scheltens
- H. Rosas
- Marie Odile Habert
- Bruno Dubois
- Bruce Fischl
- Harald Hampel
- Marc Niethammer
In Psychiatry and Mental health
- Bruce Fischl
- David H. Salat
- Reisa A. Sperling
- Douglas N. Greve
- Philip Scheltens
- Serge A. R. B. Rombouts
- Bruno Dubois
- Harald Hampel
In Radiology, Nuclear Medicine and Imaging
- Bruce Fischl
- H. Rosas
- Douglas N. Greve
- David H. Salat
- Randy L. Buckner
- Stamatios N. Sotiropoulos
- Gwenaëlle Douaud
- Jessica S. Damoiseaux
Citations in the corpus
- Global and local gray matter loss in mild cognitive impairment and Alzheimer's disease (2004, methodology): “Initially, traditional VBM statistics were calculated with SPM99 using the general linear model as previously described (Friston et al., 1996; Karas et al., 2003).”
- Multimodal population brain imaging in the UK Biobank prospective epidemiological study (2016, positive): “The T1 data and T1-derived IDPs provide sensitive markers of atrophy (tissue loss), which can be both global (e.g., thinning of the cortex in aging)9 and local (e.g., reduction of hippocampal volume in Alzheimer’s disease)10.”
- The Cortical Signature of Alzheimer's Disease: Regionally Specific Cortical Thinning Relates to Symptom Severity in Very Mild to Mild AD Dementia and is Detectable in Asymptomatic Amyloid-Positive Individuals (2008, methodology): “…1999; Killiany et al. 2000; Dickerson et al. 2001) and more recently using semiautomated exploratory mapping techniques (Baron et al. 2001; Thompson et al. 2001; Good et al. 2002; Scahill et al. 2002; Karas et al. 2003; Buckner et al. 2005; Lerch et al. 2005; Du et al. 2007; Whitwell et al. 2008).”
- Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging (2009, positive): “Although lesions start in the medial temporal lobe, atrophy is also present in a distributed pattern of brain regions, including the temporal neocortex, the cingulate gyrus, the precuneus, the temporo-parietal association and the perisylvian association (Baron et al., 2001; Chételat et al., 2002; Ch”
- Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease (2010, background): “…studies have shown that considerable atrophic progression is found in subcallosal basal ganglia brain structures (Ferrarini et al., 2006; Karas et al., 2003, 2004), and was demonstrated to show one of the fastest atrophy rates within the brain of AD patients ( N 15% per year, (Thompson…”
- Issues with threshold masking in voxel-based morphometry of atrophied brains (2009, background): “In VBM studies where fairly pronounced atrophy is expected, such as those of Alzheimer's Disease (Karas et al., 2003) or Semantic Dementia (Mummery et al., 2000), it is probable that some patients will have particularly low grey matter (GM) density in their most severely affected regions.”
- Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database (2011, background): “…al., 2003; Rusinek et al., 2004; Tapiola et al., 2008), the posterior cingulate gyrus (Karas et al., 2004; Chételat et al., 2005; Laakso et al., 1998) and the posterior middle frontal gyrus (Whitwell et al., 2007), the fusiform gyrus, the thalamus (Karas et al., 2003, 2004; Chételat et al., 2005).”
- Loss of ‘Small-World’ Networks in Alzheimer's Disease: Graph Analysis of fMRI Resting-State Functional Connectivity (2010, methodology): “Atrophy is a major factor in Alzheimer disease, and its brain distribution and correlation to cognitive decline are well described [64,70,71].”
- Cerebral atrophy in Parkinson's disease with and without dementia: a comparison with Alzheimer's disease, dementia with Lewy bodies and controls. (2004, methodology): “Voxel-based morphometry (VBM) has been implemented in various studies of dementia including Alzheimer's disease (Rombouts et al., 2000; Baron et al., 2001; Karas et al., 2003), DLB (Burton et al.”
- Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD (2004, neutral): “MMSE‡ 29 (27, 30) 29 (26, 30) 27 (24, 29) 25 (18, 30) 24 (11, 29) 19.”
- Whole-brain voxel-based statistical analysis of gray matter and white matter in temporal lobe epilepsy (2004, methodology): “This technique has been used to reveal pathological changes in GM and WM in various neurological conditions, including Alzheimer’s disease and schizophrenia (Karas et al., 2003; Kubicki et al., 2002).”