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Visualization of Amyloid β Deposits in the Human Brain with Matrix-assisted Laser Desorption/Ionization Imaging Mass Spectrometry
Published on: March 7, 2019
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Quantitative electroencephalography in cerebral amyloid angiopathy
M C van der Plas1, I Rasing1, V J Geraedts1
1Department of Neurology, Leiden University Medical Center, Albinusdreef 2, 2300 RC, Leiden, the Netherlands.
Summary
Quantitative electroencephalography (qEEG) spectral measures correlate with cognitive function in cerebral amyloid angiopathy (CAA). However, qEEG slowing did not associate with cortical superficial siderosis (cSS).
Area of Science:
- Neuroscience
- Neurology
- Biomarkers
Background:
- Cerebral amyloid angiopathy (CAA) is a cerebrovascular disorder associated with cognitive decline and microhemorrhages.
- Quantitative electroencephalography (qEEG) measures brain activity patterns, potentially reflecting underlying neuropathology.
- Cortical superficial siderosis (cSS) is a marker of microhemorrhage in CAA.
Purpose of the Study:
- To investigate the correlation between qEEG measures and cognitive function in patients with CAA.
- To examine the relationship between qEEG and cortical superficial siderosis (cSS) in CAA.
- To assess qEEG as a potential biomarker for cognitive status in CAA.
Main Methods:
- Included 92 patients with sporadic (sCAA) and Dutch-type (D-CAA) cerebral amyloid angiopathy.
- Analyzed spectral measures and phase lag index (PLI) from qEEG.
- Assessed cognition using the Montreal Cognitive Assessment (MoCA) and cSS presence via 3T-MRI.
Main Results:
- Lower average peak frequency and higher spectral ratio on qEEG correlated with lower MoCA scores, irrespective of symptomatic intracerebral hemorrhage history.
- The phase lag index (PLI) did not correlate with MoCA scores.
- No significant difference in qEEG slowing was found between participants with and without cSS.
Conclusions:
- Spectral qEEG measures, but not PLI, reflect cognitive performance in patients with CAA.
- No association was found between qEEG slowing and cSS.
- qEEG shows potential as a valuable biomarker for cognitive assessment in CAA, particularly in challenging testing scenarios.
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