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Robust reproducible resting state networks in the awake rodent brain.

التفاصيل البيبلوغرافية
العنوان: Robust reproducible resting state networks in the awake rodent brain.
المؤلفون: Lino Becerra, Gautam Pendse, Pei-Ching Chang, James Bishop, David Borsook
المصدر: PLoS ONE, Vol 6, Iss 10, p e25701 (2011)
بيانات النشر: Public Library of Science (PLoS), 2011.
سنة النشر: 2011
المجموعة: LCC:Medicine
LCC:Science
مصطلحات موضوعية: Medicine, Science
الوصف: Resting state networks (RSNs) have been studied extensively with functional MRI in humans in health and disease to reflect brain function in the un-stimulated state as well as reveal how the brain is altered with disease. Rodent models of disease have been used comprehensively to understand the biology of the disease as well as in the development of new therapies. RSN reported studies in rodents, however, are few, and most studies are performed with anesthetized rodents that might alter networks and differ from their non-anesthetized state. Acquiring RSN data in the awake rodent avoids the issues of anesthesia effects on brain function. Using high field fMRI we determined RSNs in awake rats using an independent component analysis (ICA) approach, however, ICA analysis can produce a large number of components, some with biological relevance (networks). We further have applied a novel method to determine networks that are robust and reproducible among all the components found with ICA. This analysis indicates that 7 networks are robust and reproducible in the rat and their putative role is discussed.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1932-6203
Relation: http://europepmc.org/articles/PMC3196498?pdf=render; https://doaj.org/toc/1932-6203
DOI: 10.1371/journal.pone.0025701
URL الوصول: https://doaj.org/article/8c50cf27c08d47b6b618be73597f3e12
رقم الأكسشن: edsdoj.8c50cf27c08d47b6b618be73597f3e12
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19326203
DOI:10.1371/journal.pone.0025701