Electroencephalographic signatures of dogs with presumptive diagnosis of canine cognitive dysfunction

Abstract

Canine cognitive dysfunction (CCD) is a highly prevalent neurodegenerative disease considered the canine analog of early Alzheimer's disease (AD). Unfortunately, CCD cannot be cured. However, early therapeutic interventions can slow the progression of cognitive decline and improve quality of life of the patients; therefore, early diagnosis is ideal. In humans, electroencephalogram (EEG) findings specific to AD have been described, and some of them have successfully detect early stages of the disease. In this study we characterized the EEG correlates of CCD, and we compared them with the EEGs of healthy aging dogs and dogs at risk of developing CCD. EEG recordings were performed in 25 senior dogs during wakefulness. Dogs were categorized in normal, at risk of CCD or with CCD according to their score in the Rofina questionnaire. We demonstrated that, quantitative EEG can detect differences between normal dogs and dogs with CCD. Dogs with CCD experience a reduction in beta and gamma interhemispheric coherence, and higher Joint Lempel Ziv complexity. Dogs at risk of developing CCD, had higher alpha power and interhemispheric coherence, making these features potential markers of early stages of the disease. These results demonstrate that quantitative EEG analysis could aid the diagnosis of CCD, and reinforce the CCD as a translational model of early AD.

Keywords: Aging; Alzheimer's disease; Cognition; One health.