HIPPOCAMPUS MORPHOMETRY STUDY ON PATHOLOGY-CONFIRMED ALZHEIMER'S DISEASE PATIENTS WITH SURFACE MULTIVARIATE
Jianfeng Wu1, Jie Zhang1, Jie Shi1
1School of Computing, Informatics, and Decision Systems Engineering, Arizona State Univ., Tempe, AZ.
Proceedings. IEEE International Symposium on Biomedical Imaging
|August 21, 2018
Summary
This study reveals that advanced hippocampus analysis can accurately distinguish Alzheimer's disease (AD) from normal aging. Surface multivariate morphometry statistics show promise as a biomarker for early AD detection.
Area of Science:
- Neuroimaging
- Neurology
- Biomarker Discovery
Background:
- Alzheimer's disease (AD) is a leading cause of neurodegeneration in the elderly, characterized by beta-amyloid plaque accumulation.
- Current AD diagnosis often relies on clinical symptoms, lacking definitive imaging or fluid biomarker confirmation.
- Previous research has not fully leveraged detailed brain imaging for AD differentiation.
Purpose of the Study:
- To investigate hippocampus morphometry differences between Alzheimer's disease patients and cognitively unimpaired individuals.
- To evaluate the efficacy of surface multivariate morphometry statistics (MMS) as a diagnostic biomarker for AD.
- To compare the performance of MMS against traditional hippocampal volume measures.
Main Methods:
- Utilized structural MRI data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort.
- Analyzed hippocampus morphometry using surface multivariate morphometry statistics (MMS).
- Employed Hotelling's T^2 tests for statistical significance and sparse coding for classification (90.48% accuracy).
Main Results:
- Statistically significant differences in hippocampus morphometry were identified between Aβ-positive AD and cognitively unimpaired subjects.
- Surface MMS demonstrated superior classification performance compared to traditional hippocampal volume measurements.
- The developed method achieved a high accuracy rate of 90.48% in distinguishing the groups.
Conclusions:
- Surface multivariate morphometry statistics (MMS) are effective in differentiating Alzheimer's disease from normal aging.
- MMS show potential as a valuable imaging biomarker for early and accurate AD diagnosis.
- This approach offers an improvement over conventional methods for AD detection using brain imaging.
Related Concept Videos
01:19Role of Hippocampus in Memory
The hippocampus, a critical brain structure, plays an essential role in memory processing, particularly in the formation and retrieval of memory. This small, seahorse-shaped region is located within the medial temporal lobe, with one hippocampus in each brain hemisphere. Experimental studies involving lesions in the hippocampi of rats have demonstrated significant impairments in tasks such as object recognition and maze navigation, indicating the hippocampus involvement in both recognition and...
01:23Alzheimer Disease ll: Pathophysiology
Alzheimer disease involves structural changes in the brain that begin long before symptoms appear. The most distinctive features are extracellular neuritic plaques and intracellular neurofibrillary tangles.Neuritic plaques form in the cerebral cortex and around blood vessels. These plaques contain a dense core of beta-amyloid (Aβ)—a toxic protein fragment that clumps outside neurons. The core is surrounded by damaged neuronal extensions, as well as reactive astrocytes and microglia. Abnormal...