Comparing predictors of conversion and decline in mild cognitive impairment

By Susan M. Landau, D. Harvey, Cindee M. Madison, Eric M. Reiman, N. Foster, P. Aisen, Ronald C. Petersen, L. Shaw, John Q. Trojanowski, Clifford R. Jack Jr. and 2 more. Neurology, 2010

615 citations recorded by the source corpus.

Subfields: Physiology, Psychiatry and Mental health, Pulmonary and Respiratory Medicine

View Paper: https://www.semanticscholar.org/paper/aa0c5feaa50de86e8107edb2da26fd6fd721b60b

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Citations in the corpus

Brain imaging in Alzheimer disease. (2012, background): “Less severe or consistent hypometabolism has been identified in MCI patients, some of whom were found on follow-up examination to have converted to AD (Arnaiz et al. 2001; de Leon et al. 2001; Jagust et al. 2002, 2007; Chetelat et al. 2003; Caselli et al. 2008; Langbaum et al. 2009; Landau et al. 20”
The Alzheimer’s Disease Neuroimaging Initiative: A review of papers published since its inception (2011, positive): “A degree of agreement with these results was found by Landau et al [173], who studied a range of predictors of conversion to AD and cognitive decline, including FDG-PET measures, CSF biomarkers, APOE 34 status, and hippocampal atrophy, that were defined dichotomously according to their ability to se”
Multimodal Classification of Alzheimer’s Disease and Mild Cognitive Impairment (2011, background): “A more recent study has compared the respective prognostic ability of genetic, CSF, neuroimaging, and cognitive measures obtained in the same participants, indicating that there exists complementary information among these biomarkers whichmay aid in the future diagnosis of AD andMCI (Landau et al., ”
Multi-Modal Multi-Task Learning for Joint Prediction of Multiple Regression and Classification Variables in Alzheimer’s Disease (2011, background): “Recent studies have indicated that the biomarkers from different modalities provide complementary information, which is very useful for AD diagnosis (Fjell et al., 2010; Landau et al., 2010; Walhovd et al., 2010b).”
Decoding Alzheimer's disease from perturbed cerebral glucose metabolism: implications for diagnostic and therapeutic strategies. (2013, background): “In a recent analysis of longitudinal AD Neuroimaging Initiative (ADNI) study data, Landau et al. (2010) proposed FDG-PET as a predictor in MCI for conversion to AD combining with memory testing.”
Brain metabolism in health, aging, and neurodegeneration (2017, positive): “For example, levels of GLUT1 and GLUT3 are reduced in the brains of AD patients (Simpson et al, 1994; Harr et al, 1995) and correlate with diminished brain glucose uptake and subsequent cognitive decline (Landau et al, 2010).”
Multi-Method Analysis of MRI Images in Early Diagnostics of Alzheimer's Disease (2011, background): “Usually these studies have combined MRI-based markers with biomarkers based on positron emission tomography (PET) [13,14], cerebrospinal fluid (CSF) [15,16] or both [17–19].”
Amyloid Deposition, Hypometabolism, and Longitudinal Cognitive Decline (2012, positive): “2,3 Recent work has demonstrated that the presence of amyloid is also associated with decline 4,5 and conversion.”
Random forest-based similarity measures for multi-modal classification of Alzheimer's disease (2013, positive): “…is in agreement with other recent studies (Zhang et al., 2011; Hinrichs et al., 2011), and supports previous suggestions that there is some complementary information between modalities which can be exploited to produce more powerful combined classifiers (Walhovd et al., 2010; Landau et al., 2010).”