Using Support Vector Machines with Multiple Indices of Diffusion for Automated Classification of Mild Cognitive Impairment

Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

(2011) Reisa A. Sperling et al.   Alzheimers & Dementia

Dysregulated phosphorylation of Ca2+/calmodulin-dependent protein kinase II-α in the hippocampus of subjects with mild cognitive impairment and Alzheimer’s disease

(2011) Lindsay C. Reese et al.   JOURNAL OF NEUROCHEMISTRY

Computer Aided Diagnosis system for Alzheimer Disease using brain Diffusion Tensor Imaging features selected by Pearson's correlation

(2011) M. Graña et al.   NEUROSCIENCE LETTERS

Multiple Indices of Diffusion Identifies White Matter Damage in Mild Cognitive Impairment and Alzheimer’s Disease

(2011) Laurence O'Dwyer et al.   PLoS One

The cholinergic system in mild cognitive impairment and Alzheimer's disease: An in vivo MRI and DTI study

(2010) Stefan J. Teipel et al.   HUMAN BRAIN MAPPING

White matter integrity in mild cognitive impairment: A tract-based spatial statistics study

(2010) Lin Zhuang et al.   NEUROIMAGE

Enriched white matter connectivity networks for accurate identification of MCI patients

(2010) Chong-Yaw Wee et al.   NEUROIMAGE

Automated MRI measures identify individuals with mild cognitive impairment and Alzheimer's disease

(2009) R. S. Desikan et al.   BRAIN

Abnormalities of the uncinate fasciculus and posterior cingulate fasciculus in mild cognitive impairment and early Alzheimer's disease: A diffusion tensor tractography study

(2009) Kuniaki Kiuchi et al.   BRAIN RESEARCH

Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease

(2009) Claudia Plant et al.   NEUROIMAGE

Automatic classification of MR scans in Alzheimer's disease

(2008) S. Kloppel et al.   BRAIN

Posterior cingulate cortex atrophy and regional cingulum disruption in mild cognitive impairment and Alzheimer's disease

(2008) IL Han Choo et al.   NEUROBIOLOGY OF AGING

Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study

(2008) Yong Fan et al.   NEUROIMAGE

Tensor-based morphometry as a neuroimaging biomarker for Alzheimer's disease: An MRI study of 676 AD, MCI, and normal subjects

(2008) Xue Hua et al.   NEUROIMAGE

Support vector machine-based classification of Alzheimer’s disease from whole-brain anatomical MRI

(2008) Benoît Magnin et al.   NEURORADIOLOGY

Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline

(2007) Yong Fan et al.   NEUROIMAGE

Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging

(2006) Christos Davatzikos et al.   NEUROBIOLOGY OF AGING

Automated cortical thickness measurements from MRI can accurately separate Alzheimer's patients from normal elderly controls

(2006) Jason P. Lerch et al.   NEUROBIOLOGY OF AGING