Reduced Functional Connectivity in the Default Mode Network in EEGs without Other Abnormalities in Early

Agnes Pirker-Kees1,2, Kirsten Platho-Elwischger1, Clemens Lang1,2

  • 1Department of Neurology, Clinic Hietzing with Neurological Center Rosenhuegel, Vienna, Austria.

Insights

Disrupted brain network connectivity in the default mode network (DMN) may serve as an early marker for Creutzfeldt-Jakob disease (CJD), even when electroencephalograms (EEGs) appear normal. This study highlights potential new diagnostic avenues for early CJD detection.

Area of Science:

  • Neuroscience
  • Medical Diagnostics
  • Brain Network Analysis

Background:

  • Creutzfeldt-Jakob disease (CJD) is a fatal, transmissible neurodegenerative disorder.
  • Early-stage CJD often presents with normal-appearing electroencephalograms (EEGs).
  • Identifying early diagnostic markers for CJD is crucial.

Purpose of the Study:

  • To investigate disruptions in default mode network (DMN) functional connectivity (FC) as an early diagnostic marker for CJD.
  • To assess if DMN alterations can be detected in CJD patients with visually normal EEGs.

Main Methods:

  • Compared EEGs from 7 CJD patients and 7 subjective cognitive impairment (SCI) patients.
  • Calculated FC using phase locking value across delta, theta, alpha, and beta bands.
  • Assessed DMN global efficacy using inverse characteristic path length.

Main Results:

  • Significantly lower DMN global efficacy in the gamma band was observed in CJD patients compared to SCI patients.
  • Decreased FC was found between orbitofrontal regions and the parahippocampal/anterior cingulate gyri in CJD patients.
  • These alterations were present in early CJD with visually normal EEGs.

Conclusions:

  • Disruption of the DMN in the gamma band and altered FC in specific brain regions are evident in early CJD with normal EEGs.
  • EEG-derived brain network properties show potential as early diagnostic tools for CJD.
  • Further research is warranted to evaluate the diagnostic value of FC in early CJD detection.
Abstract