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Reduced EEG coherence in dementia: state or trait marker?
J J Dunkin1, A F Leuchter, T F Newton
1Quantitative EEG Laboratory, UCLA Neuropsychiatric Institute and Hospital.
Biological Psychiatry
|June 1, 1994
Summary
Quantitative electroencephalography (EEG) coherence patterns may distinguish Alzheimer's disease from multi-infarct dementia. Visual coherence is a stable trait marker, while fascicle coherence shows both trait and state characteristics in Alzheimer's disease.
Area of Science:
- Neuroscience
- Neurology
- Biomedical Engineering
Background:
- Quantitative electroencephalography (EEG) coherence patterns differ between Alzheimer's disease (AD) and multi-infarct dementia (MID).
- Fascicle coherence (long cortico-cortical fibers) is reduced in AD.
- Visual coherence (short cortico-cortical/cortico-subcortical fibers) is reduced in MID.
Purpose of the Study:
- To determine if EEG coherence differences are stable trait markers or variable state markers for dementia.
- To investigate the diagnostic potential of fascicle and visual coherence in differentiating dementia types.
Main Methods:
- Assessed one-year test-retest reliability of fascicle and visual coherence.
- Analyzed group mean changes in coherence over one year.
- Compared coherence stability between AD, MID, and control groups.
Main Results:
- Visual coherence showed high stability in both AD and MID groups, indicating a trait marker.
- Fascicle coherence was stable in MID and controls but showed variability in AD, suggesting both trait and state factors.
- Decreased coherence may serve as diagnostic trait markers for AD and MID.
Conclusions:
- Visual coherence is a stable trait marker for differentiating dementia types.
- Fascicle coherence in AD may reflect both stable trait and variable state factors.
- Further research is needed to understand the role of state factors in Alzheimer's disease.