000150027 001__ 150027
000150027 005__ 20251017144635.0
000150027 0247_ $$2doi$$a10.1016/j.neurobiolaging.2019.02.009
000150027 0248_ $$2sideral$$a133052
000150027 037__ $$aART-2019-133052
000150027 041__ $$aeng
000150027 100__ $$aCastano-Prat, Patricia
000150027 245__ $$aAltered slow (<1 Hz) and fast (beta and gamma) neocortical oscillations in the 3xTg-AD mouse model of Alzheimer's disease under anesthesia
000150027 260__ $$c2019
000150027 5060_ $$aAccess copy available to the general public$$fUnrestricted
000150027 5203_ $$aThe 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.
000150027 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/BFU2017-85048-R
000150027 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
000150027 590__ $$a4.347$$b2019
000150027 591__ $$aGERIATRICS & GERONTOLOGY$$b10 / 51 = 0.196$$c2019$$dQ1$$eT1
000150027 591__ $$aNEUROSCIENCES$$b75 / 270 = 0.278$$c2019$$dQ2$$eT1
000150027 592__ $$a2.021$$b2019
000150027 593__ $$aAging$$c2019$$dQ1
000150027 593__ $$aDevelopmental Biology$$c2019$$dQ1
000150027 593__ $$aNeuroscience (miscellaneous)$$c2019$$dQ1
000150027 593__ $$aNeurology (clinical)$$c2019$$dQ1
000150027 593__ $$aGeriatrics and Gerontology$$c2019$$dQ1
000150027 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000150027 700__ $$aPerez-Mendez, Lorena
000150027 700__ $$0(orcid)0000-0002-3194-7796$$aPerez-Zabalza, Maria$$uUniversidad de Zaragoza
000150027 700__ $$aSanfeliu, Coral
000150027 700__ $$aGiménez-Llort, Lydia
000150027 700__ $$aSanchez-Vives, Maria V.
000150027 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000150027 773__ $$g79 (2019), 142-151$$pNeurobiol. aging$$tNEUROBIOLOGY OF AGING$$x0197-4580
000150027 8564_ $$s1767166$$uhttps://zaguan.unizar.es/record/150027/files/texto_completo.pdf$$yVersión publicada
000150027 8564_ $$s2746062$$uhttps://zaguan.unizar.es/record/150027/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000150027 909CO $$ooai:zaguan.unizar.es:150027$$particulos$$pdriver
000150027 951__ $$a2025-10-17-14:28:43
000150027 980__ $$aARTICLE