Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

• Published in: Neurobiology of aging Vol. 32; no. 12; pp. 2322.e19 - 2322.e27
• Main Authors: Davatzikos, Christos, Bhatt, Priyanka, Shaw, Leslie M., Batmanghelich, Kayhan N., Trojanowski, John Q.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.12.2011
• Subjects: Aged; Aged, 80 and over; Alzheimer Disease - cerebrospinal fluid; Alzheimer Disease - classification; Alzheimer Disease - pathology; Alzheimer's disease; Biomarkers - cerebrospinal fluid; Cognitive Dysfunction - cerebrospinal fluid; Cognitive Dysfunction - classification; Cognitive Dysfunction - pathology; CSF biomarkers; Disease Progression; Early detection; Female; Follow-Up Studies; Humans; Imaging biomarkers; Internal Medicine; Magnetic Resonance Imaging - trends; Male; MCI; Mild cognitive impairment; Neurology; Neuropsychological Tests; Pattern classification; Predictive Value of Tests; SPARE-AD; MCI; Mild cognitive impairment; Pattern classification; SPARE-AD; Imaging biomarkers; CSF biomarkers; Alzheimer's disease; Early detection

Magnetic resonance imaging (MRI) patterns were examined together with cerebrospinal fluid (CSF) biomarkers in serial scans of Alzheimer's Disease Neuroimaging Initiative (ADNI) participants with mild cognitive impairment (MCI). The SPARE-AD score, summarizing brain atrophy patterns, was tested...