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Altered Low-Frequency EEG Connectivity in Mild Cognitive Impairment as a Sign of Clinical Progression
Christian Sandøe Musaeus1, Malene Schjønning Nielsen2, Peter Høgh2,3
1Department of Neurology, Danish Dementia Research Centre (DDRC), Rigshospitalet, University of Copenhagen, Denmark.
Background:
Mild cognitive impairment (MCI) is associated with clinical progression to Alzheimer's disease (AD) but not all patients with MCI convert to AD. However, it is important to have methods that can differentiate between patients with MCI who progress (pMCI) and those who remain stable (sMCI), i.e., for timely administration of disease-modifying drugs.
Objective:
In the current study, we wanted to investigate whether quantitative EEG coherence and imaginary part of coherency (iCoh) could be used to differentiate between pMCI and sMCI.
Methods:
17 patients with AD, 27 patients with MCI, and 38 older healthy controls were recruited and followed for three years and 2nd year was used to determine progression. EEGs were recorded at baseline and coherence and iCoh were calculated after thorough preprocessing.
Results:
Between pMCI and sMCI, the largest difference in total coherence was found in the theta and delta bands. Here, the significant differences for coherence and iCoh were found in the lower frequency bands involving the temporal-frontal connections for coherence and parietal-frontal connections for iCoh. Furthermore, we found a significant negative correlation between theta coherence and the Addenbrooke's Cognitive Examination (ACE) (p = 0.0378; rho = -0.2388).
Conclusion:
These findings suggest that low frequency coherence and iCoh can be used to determine, which patients with MCI will progress to AD and is associated with the ACE score. Low-frequency coherence has previously been associated with increased hippocampal atrophy and degeneration of the cholinergic system and may be an early marker of AD pathology.
Insights
Quantitative EEG coherence can differentiate between patients with mild cognitive impairment (MCI) who progress to Alzheimer's disease (AD) and those who remain stable. This method may aid in early AD diagnosis and treatment.
Area of Science:
- Neuroscience
- Medical Imaging
- Biomarkers
Background:
- Mild cognitive impairment (MCI) is a precursor to Alzheimer's disease (AD), but not all individuals with MCI progress.
- Distinguishing between progressive MCI (pMCI) and stable MCI (sMCI) is crucial for timely therapeutic interventions.
Purpose of the Study:
- To investigate the utility of quantitative electroencephalography (EEG) coherence and the imaginary part of coherency (iCoh) in differentiating pMCI from sMCI.
- To explore the association of EEG coherence with cognitive function as measured by the Addenbrooke's Cognitive Examination (ACE).
Main Methods:
- Recruited participants included 17 AD patients, 27 MCI patients, and 38 healthy controls.
- EEG data were recorded at baseline, with a 3-year follow-up to determine progression (pMCI vs. sMCI).
- Coherence and iCoh were calculated in low-frequency bands (theta and delta) after preprocessing.
Main Results:
- Significant differences in total coherence were observed between pMCI and sMCI in theta and delta bands.
- Specific temporal-frontal (coherence) and parietal-frontal (iCoh) connections showed significant differences in lower frequency bands.
- A negative correlation was found between theta coherence and ACE scores (p=0.0378).
Conclusions:
- Low-frequency EEG coherence and iCoh can differentiate MCI patients who progress to AD.
- These EEG measures are associated with cognitive scores (ACE) and may serve as early biomarkers for AD pathology.
- Findings suggest potential for EEG coherence in early AD detection and patient stratification.
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