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Quantitative EEG Markers in Mild Cognitive Impairment: Degenerative versus Vascular Brain Impairment

D V Moretti1, O Zanetti, G Binetti

  • 1Centro San Giovanni di Dio Fatebenefratelli, TRccs, 25125 Brescia, Italy.

International Journal of Alzheimer'S Disease
|August 18, 2012
PubMed

Insights

Electroencephalography (EEG) reveals specific brain rhythm patterns linked to cerebrovascular damage (CVD) and amygdalohippocampal complex (AHC) atrophy in mild cognitive impairment (MCI). These EEG markers may help differentiate between vascular and degenerative MCI.

Area of Science:

  • Neuroscience
  • Neurology
  • Biomedical Engineering

Background:

  • Mild cognitive impairment (MCI) presents diagnostic challenges, often requiring differentiation between vascular and degenerative etiologies.
  • Scalp electroencephalography (EEG) offers a non-invasive method to assess brain activity.
  • Cerebrovascular damage (CVD) and amygdalohippocampal complex (AHC) atrophy are key pathological hallmarks in MCI.

Purpose of the Study:

  • To investigate the association between specific EEG spectral band power patterns and the extent of CVD and AHC atrophy in MCI patients.
  • To identify potential EEG-based biomarkers for distinguishing vascular MCI from degenerative MCI.

Main Methods:

  • EEG recordings were performed at rest in a cohort of MCI subjects.
  • Relative power in delta, theta, alpha1, alpha2, and alpha3 frequency bands was computed.
  • Magnetic resonance imaging (MRI) was used to assess CVD and AHC atrophy.

Main Results:

  • Increased delta and decreased alpha2 power correlated with the severity of CVD.
  • The theta/alpha1 ratio showed a reliable association with the extent of CV damage.
  • Moderate hippocampal atrophy was linked to increased alpha2 and alpha3 power.
  • Amygdalar atrophy correlated with the theta/gamma ratio, while hippocampal atrophy correlated with the alpha3/alpha2 ratio.

Conclusions:

  • Specific EEG spectral power patterns are associated with CVD and AHC atrophy in MCI.
  • These EEG markers hold potential for the differential diagnosis of vascular versus degenerative MCI.
  • EEG may serve as a valuable, non-invasive tool in the diagnostic workup of MCI.

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