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Hippocampal formation glucose metabolism and volume losses in MCI and AD
- Source :
- Neurobiology of Aging. 22:529-539
- Publication Year :
- 2001
- Publisher :
- Elsevier BV, 2001.
-
Abstract
- We used MRI volume sampling with coregistered and atrophy corrected FDG-PET scans to test three hypotheses: 1) hippocampal formation measures are superior to temporal neocortical measures in the discrimination of normal (NL) and mild cognitive impairment (MCI); 2) neocortical measures are most useful in the separation of Alzheimer disease (AD) from NL or MCI; 3) measures of PET glucose metabolism (MRglu) have greater diagnostic sensitivity than MRI volume. Three groups of age, education, and gender matched NL, MCI, and AD subjects were studied. The results supported the hypotheses: 1) entorhinal cortex MRglu and hippocampal volume were most accurate in classifying NL and MCI; 2) both imaging modalities identified the temporal neocortex as best separating MCI and AD, whereas widespread changes accurately classified NL and AD; 3) In most between group comparisons regional MRglu measures were diagnostically superior to volume measures. These cross-sectional data show that in MCI hippocampal formation changes exist without significant neocortical changes. Neocortical changes best characterize AD. In both MCI and AD, metabolism reductions exceed volume losses.
- Subjects :
- Male
Aging
medicine.medical_specialty
Pathology
Hippocampus
Hippocampal formation
Sensitivity and Specificity
Degenerative disease
Atrophy
Alzheimer Disease
Predictive Value of Tests
Internal medicine
mental disorders
medicine
Humans
Aged
Aged, 80 and over
Neocortex
General Neuroscience
Cognitive disorder
Middle Aged
Entorhinal cortex
medicine.disease
Magnetic Resonance Imaging
Glucose
medicine.anatomical_structure
Cardiology
Female
Neurology (clinical)
Geriatrics and Gerontology
Alzheimer's disease
Cognition Disorders
Psychology
Tomography, Emission-Computed
Developmental Biology
Subjects
Details
- ISSN :
- 01974580
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Neurobiology of Aging
- Accession number :
- edsair.doi.dedup.....7b6fd7a613ac747942e7ee2b14533f61