Predicting Clinical Scores from Magnetic Resonance Scans in Alzheimer's Disease

Autor: Cynthia M. Stonnington, Stefan Klöppel, Richard S.J. Frackowiak, John Ashburner, Clifford R. Jack, Carlton Chu
Přispěvatelé: Alzheimer Disease Neuroimaging Initiative
Jazyk: angličtina
Rok vydání: 2010
Předmět:
Male
Audiology
Neuropsychological Tests
030218 nuclear medicine & medical imaging
0302 clinical medicine
Cognition
Image Processing
Computer-Assisted
Likelihood Functions
medicine.diagnostic_test
relevance vector regression
Neuropsychology
Alzheimer's disease
Middle Aged
Verbal Learning
Magnetic Resonance Imaging
3. Good health
machine learning
Neurology
Predictive value of tests
Data Interpretation
Statistical
Regression Analysis
Female
ADAS-Cog
Psychology
medicine.medical_specialty
Cognitive Neuroscience
Verbal learning
behavioral disciplines and activities
MMSE
Article
03 medical and health sciences
multivariate
Neuroimaging
Rating scale
Alzheimer Disease
Predictive Value of Tests
mental disorders
medicine
Humans
Psychiatry
Aged
Alzheimer Disease/pathology
Alzheimer Disease/psychology
Cognition/physiology
Psychomotor Performance/physiology
Reproducibility of Results
Verbal Learning/physiology
Magnetic resonance imaging
Voxel-based morphometry
medicine.disease
AVLT
DRS
human activities
030217 neurology & neurosurgery
Psychomotor Performance
Zdroj: NeuroImage
NeuroImage, vol. 51, no. 4, pp. 1405-1413
ISSN: 1095-9572
1053-8119
Popis: Machine learning and pattern recognition methods have been used to diagnose Alzheimer's disease (AD) and mild cognitive impairment (MCI) from individual MRI scans. Another application of such methods is to predict clinical scores from individual scans. Using relevance vector regression (RVR), we predicted individuals' performances on established tests from their MRI T1 weighted image in two independent data sets. From Mayo Clinic, 73 probable AD patients and 91 cognitively normal (CN) controls completed the Mini-Mental State Examination (MMSE), Dementia Rating Scale (DRS), and Auditory Verbal Learning Test (AVLT) within 3months of their scan. Baseline MRI's from the Alzheimer's disease Neuroimaging Initiative (ADNI) comprised the other data set; 113 AD, 351 MCI, and 122 CN subjects completed the MMSE and Alzheimer's Disease Assessment Scale—Cognitive subtest (ADAS-cog) and 39 AD, 92 MCI, and 32 CN ADNI subjects completed MMSE, ADAS-cog, and AVLT. Predicted and actual clinical scores were highly correlated for the MMSE, DRS, and ADAS-cog tests (P
Databáze: OpenAIRE
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