دورية أكاديمية

Increased resting state connectivity in the anterior default mode network of idiopathic epileptic dogs

التفاصيل البيبلوغرافية
العنوان: Increased resting state connectivity in the anterior default mode network of idiopathic epileptic dogs
المؤلفون: Katrin M. Beckmann, Adriano Wang-Leandro, Henning Richter, Rima N. Bektas, Frank Steffen, Matthias Dennler, Ines Carrera, Sven Haller
المصدر: Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
بيانات النشر: Nature Portfolio, 2021.
سنة النشر: 2021
المجموعة: LCC:Medicine
LCC:Science
مصطلحات موضوعية: Medicine, Science
الوصف: Abstract Epilepsy is one of the most common chronic, neurological diseases in humans and dogs and considered to be a network disease. In human epilepsy altered functional connectivity in different large-scale networks have been identified with functional resting state magnetic resonance imaging. Since large-scale resting state networks have been consistently identified in anesthetised dogs’ application of this technique became promising in canine epilepsy research. The aim of the present study was to investigate differences in large-scale resting state networks in epileptic dogs compared to healthy controls. Our hypothesis was, that large-scale networks differ between epileptic dogs and healthy control dogs. A group of 17 dogs (Border Collies and Greater Swiss Mountain Dogs) with idiopathic epilepsy was compared to 20 healthy control dogs under a standardized sevoflurane anaesthesia protocol. Group level independent component analysis with dimensionality of 20 components, dual regression and two-sample t test were performed and revealed significantly increased functional connectivity in the anterior default mode network of idiopathic epileptic dogs compared to healthy control dogs (p = 0.00060). This group level differences between epileptic dogs and healthy control dogs identified using a rather simple data driven approach could serve as a starting point for more advanced resting state network analysis in epileptic dogs.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2045-2322
العلاقة: https://doaj.org/toc/2045-2322Test
DOI: 10.1038/s41598-021-03349-x
الوصول الحر: https://doaj.org/article/4c78265f9f3e4fc3bae8c453cf20d621Test
رقم الانضمام: edsdoj.4c78265f9f3e4fc3bae8c453cf20d621
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20452322
DOI:10.1038/s41598-021-03349-x