Preclinical detection of Alzheimer's disease: hippocampal shape and volume predict dementia onset in the elderly

By John G. Csernansky, Lei E. Wang, Jeffrey S. Swank, J. Miller, M. Gado, D. McKeel, Michael I. Miller, John C. Morris. NeuroImage, 2005

333 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Physiology, Psychiatry and Mental health

View Paper: https://www.semanticscholar.org/paper/34efa5a90e834285647dc9ded62a46e9e4958a40

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Bruce Fischl
2. Randy L. Buckner
3. Christos Davatzikos
4. A. M. Dale
5. Bradford C. Dickerson
6. Brian T. Quinn
7. Florent Ségonne
8. Yong Fan

In Physiology

1. Christos Davatzikos
2. Clifford R. Jack Jr.
3. Ronald C. Petersen
4. Brad Boeve
5. David S. Knopman
6. Deborah Blacker
7. A. M. Dale
8. Yong Fan

In Psychiatry and Mental health

1. Christos Davatzikos
2. Clifford R. Jack Jr.
3. Ronald C. Petersen
4. David S. Knopman
5. Brad Boeve
6. Bruce Fischl
7. Yong Fan
8. Deborah Blacker

Citations in the corpus

• Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline (2008, background): “shape properties of hippocampal ROIs have also been investigated (Csernansky et al., 2005).”
• An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (2006, methodology): “Some of these methods have focused on a single ROI, such as the hippocampus (Hsu et al., 2002; Csernansky et al., 2000, 2005; Wang et al., 2003), and the cingulate gyrus (Miller et al., 2003) or sets of subcortical ROIs (Fischl et al., 2002).”
• High-resolution structural and functional MRI of hippocampal CA3 and dentate gyrus in patients with amnestic mild cognitive impairment (2010, methodology): “Previous morphometric MRI reports have emphasized that the CA1 region of the hippocampus is structurally compromised early in the course of AD (Chetelat et al., 2008; Csernansky et al., 2000; Csernansky et al., 2005; Qiu et al., 2008; Wang et al., 2006).”
• Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease (2010, background): “…accuracy for AD but clinically insuf fi cient predictive value for the prediction of progression from MCI to AD when assessed as the sole predictor (Csernansky et al., 2005; Jack et al., 1999; Kantarci and Jack, 2003; Killiany et al., 2002; Pennanen et al., 2004; Stoub et al., 2005; Visser et…”
• Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies (2008, background): “…their attention toward multivariate analysis and machine learning-based algorithms for distinguishing patients from cognitively normal (CN) subjects (Alexander and Moeller, 1994; Csernansky et al., 2005; Davatzikos et al., 2005; Fan et al., 2005; Freeborough and Fox, 1998b; Lao et al., 2004).”
• Evolution of hippocampal shapes across the human lifespan (2013, background): “…mild cognitive impairment, Alzheimer’s disease (AD), and geriatric depression [Apostolova et al., 2006a,b; Cardenas et al., 2003; Convit et al., 1997; Csernansky et al., 2005; Frisoni et al., 2005, 2006, 2007; Qiu et al., 2009c; Shenton et al., 2001; Wang et al., 2003, 2006; Whitwell et al., 2007].”