Predicting Mental Decline Rates in Mild Cognitive Impairment From Baseline MRI Volumetric Data
| Autor: | Richard D. White, Barbaros S. Erdal, Sema Candemir, Xuan V. Nguyen, Luciano M. Prevedello |
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| Rok vydání: | 2020 |
| Předmět: |
Male
medicine.medical_specialty Hippocampus behavioral disciplines and activities Temporal lobe 03 medical and health sciences 0302 clinical medicine Neuroimaging Alzheimer Disease Internal medicine mental disorders medicine Entorhinal Cortex Humans Dementia Cognitive Dysfunction 030212 general & internal medicine Cognitive decline Aged Retrospective Studies Fusiform gyrus medicine.diagnostic_test business.industry Brain Magnetic resonance imaging Mental Status and Dementia Tests Entorhinal cortex medicine.disease Magnetic Resonance Imaging Psychiatry and Mental health Clinical Psychology Disease Progression Cardiology Female Atrophy Geriatrics and Gerontology Alzheimer's disease business human activities Gerontology 030217 neurology & neurosurgery |
| Zdroj: | Alzheimer Disease & Associated Disorders. 35:1-7 |
| ISSN: | 0893-0341 |
| DOI: | 10.1097/wad.0000000000000406 |
| Popis: | In mild cognitive impairment (MCI), identifying individuals at high risk for progressive cognitive deterioration can be useful for prognostication and intervention. This study quantitatively characterizes cognitive decline rates in MCI and tests whether volumetric data from baseline magnetic resonance imaging (MRI) can predict accelerated cognitive decline.The authors retrospectively examined Alzheimer Disease Neuroimaging Initiative data to obtain serial Mini-Mental Status Exam (MMSE) scores, diagnoses, and the following baseline MRI volumes: total intracranial volume, whole-brain and ventricular volumes, and volumes of the hippocampus, entorhinal cortex, fusiform gyrus, and medial temporal lobe. Subjects with24 months or4 measurements of MMSE data were excluded. Predictive modeling of fast cognitive decline (defined as0.6/year) from baseline volumetric data was performed on subjects with MCI using a single hidden layer neural network.Among 698 baseline MCI subjects, the median annual decline in the MMSE score was 1.3 for converters to dementia versus 0.11 for stable MCI (P0.001). A 0.6/year threshold captured dementia conversion with 82% accuracy (sensitivity 79%, specificity 85%, area under the receiver operating characteristic curve 0.88). Regional volumes on baseline MRI predicted fast cognitive decline with a test accuracy of 71%.An MMSE score decrease of0.6/year is associated with MCI-to-dementia conversion and can be predicted from baseline MRI. |
| Databáze: | OpenAIRE |
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