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Published on: June 13, 2015
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MR approaches in neurodegenerative disorders
1Institute of Cellular Medicine and Centre for In Vivo Imaging, Newcastle University, UK.
Progress in Nuclear Magnetic Resonance Spectroscopy
|December 13, 2018
Summary
Magnetic resonance imaging (MRI) aids in diagnosing neurodegenerative diseases like Alzheimer's disease (AD) and dementia with Lewy bodies (DLB). While MRI shows structural brain changes, further research is needed for non-invasive diagnosis.
Area of Science:
- Neuroimaging
- Neurology
- Radiology
Background:
- Neurodegenerative diseases involve neuron degeneration, leading to brain dysfunction and death.
- Alzheimer's disease (AD) is the most common, affecting millions globally, with dementia with Lewy bodies (DLB) being the second most prevalent.
- Current definitive diagnosis relies on post-mortem neuropathological assessment of protein deposits.
Purpose of the Study:
- To review Magnetic Resonance (MR)-based measurements for diagnosing neurodegenerative diseases.
- To compare MR findings in Alzheimer's disease (AD) and dementia with Lewy bodies (DLB).
- To explore the potential of advanced MR techniques and multimodal approaches for improved diagnosis.
Main Methods:
- Conventional T1-weighted (T1w) MRI to assess structural brain changes, particularly medial temporal lobe atrophy.
- Diffusion tensor imaging (DTI) to evaluate white matter microstructure integrity.
- Atrophy-corrected Magnetic Resonance Spectroscopy (MRS) to assess neuronal density and metabolic alterations.
Main Results:
- T1w MRI reveals significant medial temporal lobe atrophy in AD, often preserved in DLB, aiding clinical diagnosis.
- DTI shows widespread microstructural changes in white matter, with subtle differences suggested between AD and DLB.
- MRS indicates reduced healthy neuron density in affected brain regions, correlating with perfusion changes and protein deposits.
Conclusions:
- MR imaging techniques provide valuable insights into structural and microstructural brain changes in AD and DLB.
- Current MR methods show limitations in detecting early disease stages and achieving non-invasive diagnostic certainty.
- Future advancements may involve combining MR with other modalities like PET and utilizing AI for comprehensive data analysis.
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