150027 20251017144635.0 doi 10.1016/j.neurobiolaging.2019.02.009 sideral 133052 ART-2019-133052 eng Castano-Prat, Patricia Altered slow (<1 Hz) and fast (beta and gamma) neocortical oscillations in the 3xTg-AD mouse model of Alzheimer's disease under anesthesia 2019 Access copy available to the general public Unrestricted The 3xTg-AD mouse model reproduces the main features associated with the etiology of familial Alzheimer's disease (AD). To investigate whether these features imply functional cortical network alterations and their evolution with age, we studied spontaneous slow oscillations, activity that integrates cellular and network properties. We quantified different parameters of the emergent slow oscillations—alternating Up and Down states—and of the embedded beta-gamma rhythms of 3xTg-AD and wild-type mice at 7 and 20 months of age. Most group differences occurred at 20 months of age: 3xTg-AD mice presented lower oscillatory frequency, higher cycle variability, and reduced relative (Up/Down) firing rate with respect to controls. The high-frequency analysis revealed a shift toward lower frequencies in older 3xTg-AD animals, reminiscent of one of the electroencephalography hallmarks of patients with AD. This first systematic characterization of the cortical emergent rhythms in 3xTg-AD strain provides insights into the network mechanisms underlying associated network activity alterations. info:eu-repo/grantAgreement/ES/MINECO/BFU2017-85048-R info:eu-repo/semantics/openAccess by-nc-nd https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es 4.347 2019 GERIATRICS & GERONTOLOGY 10 / 51 = 0.196 2019 Q1 T1 NEUROSCIENCES 75 / 270 = 0.278 2019 Q2 T1 2.021 2019 Aging 2019 Q1 Developmental Biology 2019 Q1 Neuroscience (miscellaneous) 2019 Q1 Neurology (clinical) 2019 Q1 Geriatrics and Gerontology 2019 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Perez-Mendez, Lorena Perez-Zabalza, Maria Universidad de Zaragoza (orcid)0000-0002-3194-7796 Sanfeliu, Coral Giménez-Llort, Lydia Sanchez-Vives, Maria V. 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 79 (2019), 142-151 Neurobiol. aging NEUROBIOLOGY OF AGING 0197-4580 1767166 http://zaguan.unizar.es/record/150027/files/texto_completo.pdf Versión publicada 2746062 http://zaguan.unizar.es/record/150027/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:150027 articulos driver 2025-10-17-14:28:43 ARTICLE