BACKGROUND: Qualitative and quantitative electroencephalography (EEG) parameters of healthy and Finnish Spitz dogs with epilepsy have not been determined. OBJECTIVE: To determine if EEG can provide specific characteristics to distinguish between healthy dogs and dogs with epilepsy. ANIMALS: Sixteen healthy and 15 Finnish Spitz dogs with epilepsy. METHODS: A prospective clinical EEG study performed under medetomidine sedation. Blinded visual and quantitative EEG analyses were performed and results were compared between study groups. RESULTS: Benign epileptiform transients of sleep and sleep spindles were a frequent finding in a majority of animals from both groups. The EEG analysis detected epileptiform activity in 3 Finnish Spitz dogs with epilepsy and in 1 healthy Finnish Spitz dog. Epileptiform activity was characterized by spikes, polyspikes, and spike slow wave complexes in posterior-occipital derivation in dogs with epilepsy and with midline spikes in control dog. The healthy dogs showed significantly less theta and beta activity than did the dogs with epilepsy (P < .01), but the only significant difference between healthy dogs and dogs with untreated epilepsy was in the alpha band (P < .001). Phenobarbital treatment increased alpha, beta (P < .001), and theta (P < .01), and decreased delta (P < .001) frequency bands compared with dogs with untreated epilepsy. CONCLUSIONS AND CLINICAL IMPORTANCE: Benign epileptiform transients of sleep could be easily misinterpreted as epileptiform activity. Epileptiform activity in Finnish Spitz dogs with epilepsy seems to originate from a posterior-occipital location. The EEG of dogs with epilepsy exhibited a significant difference in background frequency bands compared with the control dogs. Phenobarbital treatment markedly influenced all background activity bands. Quantitative EEG analysis, in addition to visual analysis, seems to be a useful tool in the examination of patients with epilepsy.
BACKGROUND: Qualitative and quantitative electroencephalography (EEG) parameters of healthy and Finnish Spitz dogs with epilepsy have not been determined. OBJECTIVE: To determine if EEG can provide specific characteristics to distinguish between healthy dogs and dogs with epilepsy. ANIMALS: Sixteen healthy and 15 Finnish Spitz dogs with epilepsy. METHODS: A prospective clinical EEG study performed under medetomidine sedation. Blinded visual and quantitative EEG analyses were performed and results were compared between study groups. RESULTS:Benign epileptiform transients of sleep and sleep spindles were a frequent finding in a majority of animals from both groups. The EEG analysis detected epileptiform activity in 3 Finnish Spitz dogs with epilepsy and in 1 healthy Finnish Spitz dog. Epileptiform activity was characterized by spikes, polyspikes, and spike slow wave complexes in posterior-occipital derivation in dogs with epilepsy and with midline spikes in control dog. The healthy dogs showed significantly less theta and beta activity than did the dogs with epilepsy (P < .01), but the only significant difference between healthy dogs and dogs with untreated epilepsy was in the alpha band (P < .001). Phenobarbital treatment increased alpha, beta (P < .001), and theta (P < .01), and decreased delta (P < .001) frequency bands compared with dogs with untreated epilepsy. CONCLUSIONS AND CLINICAL IMPORTANCE: Benign epileptiform transients of sleep could be easily misinterpreted as epileptiform activity. Epileptiform activity in Finnish Spitz dogs with epilepsy seems to originate from a posterior-occipital location. The EEG of dogs with epilepsy exhibited a significant difference in background frequency bands compared with the control dogs. Phenobarbital treatment markedly influenced all background activity bands. Quantitative EEG analysis, in addition to visual analysis, seems to be a useful tool in the examination of patients with epilepsy.
Authors: Kathryn A Davis; Beverly K Sturges; Charles H Vite; Vanessa Ruedebusch; Gregory Worrell; Andrew B Gardner; Kent Leyde; W Douglas Sheffield; Brian Litt Journal: Epilepsy Res Date: 2011-06-14 Impact factor: 3.045
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Authors: Velia-Isabel Hülsmeyer; Andrea Fischer; Paul J J Mandigers; Luisa DeRisio; Mette Berendt; Clare Rusbridge; Sofie F M Bhatti; Akos Pakozdy; Edward E Patterson; Simon Platt; Rowena M A Packer; Holger A Volk Journal: BMC Vet Res Date: 2015-08-28 Impact factor: 2.741
Authors: F M K James; M A Cortez; G Monteith; T S Jokinen; S Sanders; F Wielaender; A Fischer; H Lohi Journal: J Vet Intern Med Date: 2017-07-31 Impact factor: 3.333
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