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Research paper
Quantitative EEG parameters correlate with the progression of human prion diseases
  1. Edit Franko1,2,
  2. Tim Wehner3,
  3. Olivier Joly4,
  4. Jessica Lowe1,
  5. Marie-Claire Porter1,
  6. Joanna Kenny1,
  7. Andrew Thompson1,
  8. Peter Rudge1,2,
  9. John Collinge1,2,
  10. Simon Mead1,2
  1. 1NHS National Prion Clinic, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
  2. 2MRC Prion Unit, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
  3. 3Department of Clinical Neurophysiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
  4. 4MRC Cognition and Brain Sciences Unit, Cambridge, UK
  1. Correspondence to Dr Simon Mead, MRC Prion Unit and NHS National Prion Clinic, The National Hospital for Neurology and Neurosurgery, Box 98, Queen Square, London WC1N 3BG, UK; s.mead{at}prion.ucl.ac.uk

Abstract

Background Prion diseases are universally fatal and often rapidly progressive neurodegenerative diseases. EEG has long been used in the diagnosis of sporadic Creutzfeldt-Jakob disease; however, the characteristic waveforms do not occur in all types of prion diseases. Here, we re-evaluate the utility of EEG by focusing on the development of biomarkers. We test whether abnormal quantitative EEG parameters can be used to measure disease progression in prion diseases or predict disease onset in healthy individuals at risk of disease.

Methods In the National Prion Monitoring Cohort study, we did quantitative encephalography on 301 occasions in 29 healthy controls and 67 patients with prion disease. The patients had either inherited prion disease or sporadic Creutzfeldt-Jakob disease. We computed the main background frequency, the α and θ power and the α/θ power ratio, then averaged these within 5 electrode groups. These measurements were then compared among participant groups and correlated with functional and cognitive scores cross-sectionally and longitudinally.

Results We found lower main background frequency, α power and α/θ power ratio and higher θ power in patients compared to control participants. The main background frequency, the power in the α band and the α/θ power ratio also differed in a consistent way among the patient groups. Moreover, the main background frequency and the α/θ power ratio correlated significantly with functional and cognitive scores. Longitudinally, change in these parameters also showed significant correlation with the change in clinical and cognitive scores.

Conclusions Our findings support the use of quantitative EEG to follow the progression of prion disease, with potential to help evaluate the treatment effects in future clinical-trials.

This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/

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