Mapping the evolution of regional atrophy in Alzheimer's disease: Unbiased analysis of fluid-registered serial MRI

By Rachael I. Scahill, Jonathan M. Schott, J. Stevens, Martin Rossor, Nick C Fox. Proceedings of the National Academy of Sciences of the United States of America, 2002

757 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Physiology, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/084dab301276f403a6c5cab82c93fa250477e0c2

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Citations in the corpus

Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer’s Disease (2009, background): “These regions are preferentially vulnerable to A deposition (Klunk et al., 2004; Buckner et al., 2005), atrophy (Scahill et al., 2002; Thompson et al., 2003; Buckner et al., 2005), and disruption of activity (Lustig et al., 2003; Greicius et al., 2004) and metabolism (Herholz, 1995; Minoshima et…”
A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging. (2003, methodology): “In particular, the application of an automated technique such as statistical parametric mapping(36) to longitudinal data has the potential to detect regional atrophy without the need for time-consuming volumetric analysis.(37)”
Global and local gray matter loss in mild cognitive impairment and Alzheimer's disease (2004, background): “Another weakness of this study is its cross-sectional nature and the temporal pattern of evolution suggested by the two separate comparisons needs to be validated in a longitudinal study where each subject serves as its own control in a framework of highdimensional transforms and voxel-compression m”
Focal decline of cortical thickness in Alzheimer's disease identified by computational neuroanatomy. (2004, methodology): “The longitudinal aspect of our analysis should be explored in greater detail and compared to non-linear registration methods that have recently been used in the analysis of AD populations and normal aging (Fox et al. , 2000; Scahill et al. , 2002, 2003).”
The Brain's Default Network (2008, background): “Methods that survey atrophy across the brain in AD have also all converged to show disruption in the default network prominently including the medial temporal lobe (Scahill et al. 2002, Thompson et al. 2003, Buckner et al. 2005).”
Memory and executive function in aging and AD: multiple factors that cause decline and reserve factors that compensate. (2004, methodology): “Adapted from (Scahill et al., 2002; Thompson et al., 2003).”
Cerebral small-vessel disease and decline in information processing speed, executive function and memory. (2005, background): “Generalized brain atrophy on MRI is a characteristic finding in Alzheimer's disease (Fox et al., 1999; Scahill et al., 2002), but is also associated with vascular risk factors and small-vessel disease (Walters et al., 2003).”
Machine Learning and Radiology (2012, background): “Applications of SPM in neurological disease diagnosis include Alzheimer’s disease (Bookheimer et al., 2000; Scahill et al., 2002), schizophrenia (Sowell et al., 2000; Wilke et al., 2001; Wright et al., 1995), and obsessive–compulsive disorder (Kim et al., 2001; Saxena et al., 2001).”
Unrest at rest: Default activity and spontaneous network correlations (2007, background): “The cortical regions affected by pathology show atrophy as the disease progresses (Buckner et al., 2005; Scahill et al., 2002).”
One year brain atrophy evident in healthy aging (2009, background): “An early longitudinal study found that while temporal atrophy was seen in presymptomatic and mildly affected patients, frontal involvement occurred later in the disease (Scahill et al., 2002).”
Early diagnosis of alzheimer's disease: contribution of structural neuroimaging (2003, background): “…suboptimal anatomical accuracy (Kaye et al., 1997; Visser et al., 1999; Dickerson et al., 2001; Convit et al., 2000); —finally, the use of annual rates of atrophy (Fox et al., 1999; Scahill et al., 2002) has limited interest for early diagnosis, since at least a 1-year MRI follow-up is required.”
Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease (2010, methodology): “We took the logarithm of the masked maps of the Jacobian determinants (Scahill et al., 2002) and then applied a 10-mm full width at half maximum isotropic Gaussian kernel.”
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).”