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000017818 0247_ $$2DOI$$a10.1111/j.1460-9568.2011.07748.x
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000017818 084__ $$2WoS$$aNeurosciences
000017818 1001_ $$0P:(DE-HGF)0$$aPoil, S.S.$$b0
000017818 245__ $$aFast network oscillations in vitro exhibit a slow decay of temporal auto-correlations
000017818 260__ $$aOxford [u.a.]$$bBlackwell$$c2011
000017818 300__ $$a394 - 403
000017818 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
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000017818 440_0 $$01951$$aEuropean Journal of Neuroscience$$v34$$x0953-816X$$y3
000017818 500__ $$aThis work was supported by The Netherlands Organization for Scientific Research (NWO) [Toptalent grant to S.-S.P.; R.J. was supported by a Computational Life Sciences grant (635.100.005); Innovative Research Incentive Schemes grant to K. L.-H.], the Neuro-Bsik Mouse Phenomics consortium (http://www.neurobsik.nl) (grant to A. B. B), the Royal Netherlands Academy of Arts and Sciences (KNAW) (fellowship to H. D. M.), and the Danish Research Agency (to K.L.-H.).
000017818 520__ $$aOngoing neuronal oscillations in vivo exhibit non-random amplitude fluctuations as reflected in a slow decay of temporal auto-correlations that persist for tens of seconds. Interestingly, the decay of auto-correlations is altered in several brain-related disorders, including epilepsy, depression and Alzheimer's disease, suggesting that the temporal structure of oscillations depends on intact neuronal networks in the brain. Whether structured amplitude modulation occurs only in the intact brain or whether isolated neuronal networks can also give rise to amplitude modulation with a slow decay is not known. Here, we examined the temporal structure of cholinergic fast network oscillations in acute hippocampal slices. For the first time, we show that a slow decay of temporal correlations can emerge from synchronized activity in isolated hippocampal networks from mice, and is maximal at intermediate concentrations of the cholinergic agonist carbachol. Using zolpidem, a positive allosteric modulator of GABA(A) receptor function, we found that increased inhibition leads to longer oscillation bursts and more persistent temporal correlations. In addition, we asked if these findings were unique for mouse hippocampus, and we therefore analysed cholinergic fast network oscillations in rat prefrontal cortex slices. We observed significant temporal correlations, which were similar in strength to those found in mouse hippocampus and human cortex. Taken together, our data indicate that fast network oscillations with temporal correlations can be induced in isolated networks in vitro in different species and brain areas, and therefore may serve as model systems to investigate how altered temporal correlations in disease may be rescued with pharmacology.
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000017818 65320 $$2Author$$aacetylcholine
000017818 65320 $$2Author$$amemory
000017818 65320 $$2Author$$amouse
000017818 65320 $$2Author$$aongoing oscillations
000017818 65320 $$2Author$$atemporal auto-correlations
000017818 650_2 $$2MeSH$$aAnimals
000017818 650_2 $$2MeSH$$aCarbachol: pharmacology
000017818 650_2 $$2MeSH$$aCholinergic Agonists: pharmacology
000017818 650_2 $$2MeSH$$aDose-Response Relationship, Drug
000017818 650_2 $$2MeSH$$aElectrophysiology
000017818 650_2 $$2MeSH$$aGABA-A Receptor Agonists: pharmacology
000017818 650_2 $$2MeSH$$aHippocampus: anatomy & histology
000017818 650_2 $$2MeSH$$aHippocampus: drug effects
000017818 650_2 $$2MeSH$$aHippocampus: physiology
000017818 650_2 $$2MeSH$$aHumans
000017818 650_2 $$2MeSH$$aMale
000017818 650_2 $$2MeSH$$aMembrane Potentials: physiology
000017818 650_2 $$2MeSH$$aMice
000017818 650_2 $$2MeSH$$aMice, Inbred DBA
000017818 650_2 $$2MeSH$$aNerve Net: anatomy & histology
000017818 650_2 $$2MeSH$$aNerve Net: drug effects
000017818 650_2 $$2MeSH$$aNerve Net: physiology
000017818 650_2 $$2MeSH$$aPeriodicity
000017818 650_2 $$2MeSH$$aPrefrontal Cortex: anatomy & histology
000017818 650_2 $$2MeSH$$aPrefrontal Cortex: drug effects
000017818 650_2 $$2MeSH$$aPrefrontal Cortex: physiology
000017818 650_2 $$2MeSH$$aPyridines: pharmacology
000017818 650_2 $$2MeSH$$aRats
000017818 650_2 $$2MeSH$$aRats, Wistar
000017818 650_7 $$00$$2NLM Chemicals$$aCholinergic Agonists
000017818 650_7 $$00$$2NLM Chemicals$$aGABA-A Receptor Agonists
000017818 650_7 $$00$$2NLM Chemicals$$aPyridines
000017818 650_7 $$051-83-2$$2NLM Chemicals$$aCarbachol
000017818 650_7 $$082626-48-0$$2NLM Chemicals$$azolpidem
000017818 650_7 $$2WoSType$$aJ
000017818 7001_ $$0P:(DE-HGF)0$$aJansen, R.$$b1
000017818 7001_ $$0P:(DE-Juel1)VDB102780$$avan Aerde, K.$$b2$$uFZJ
000017818 7001_ $$0P:(DE-HGF)0$$aTimmerman, J.$$b3
000017818 7001_ $$0P:(DE-HGF)0$$aBrussaard, A.B.$$b4
000017818 7001_ $$0P:(DE-HGF)0$$aMansvelder, H.D.$$b5
000017818 7001_ $$0P:(DE-HGF)0$$aLinkenkaer-Hansen, K.$$b6
000017818 773__ $$0PERI:(DE-600)2005178-5$$a10.1111/j.1460-9568.2011.07748.x$$gVol. 34, p. 394 - 403$$p394 - 403$$q34<394 - 403$$tEuropean journal of neuroscience$$v34$$x0953-816X$$y2011
000017818 8567_ $$uhttp://dx.doi.org/10.1111/j.1460-9568.2011.07748.x
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000017818 9141_ $$y2011
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