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Alterations in hippocampal network oscillations and theta-gamma coupling arise before Aβ overproduction in a mouse model of Alzheimer's disease.

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Title: Alterations in hippocampal network oscillations and theta-gamma coupling arise before Aβ overproduction in a mouse model of Alzheimer's disease.
Authors: Goutagny, Romain, Gu, Ning, Cavanagh, Chelsea, Jackson, Jesse, Chabot, Jean‐Guy, Quirion, Rémi, Krantic, Slavica, Williams, Sylvain
Source: European Journal of Neuroscience. Jun2013, Vol. 37 Issue 12, p1896-1902. 7p. 5 Graphs.
Subjects: Hippocampus (Brain), Biological neural networks, Alzheimer's disease, Laboratory mice, Neurodegeneration, Cognitive ability
Abstract: Alzheimer's disease ( AD) is an age-related neurodegenerative disorder characterized by memory impairments. Brain oscillatory activity is critical for cognitive function and is altered in AD patients. Recent evidence suggests that accumulation of soluble amyloid-beta ( Aβ) induces reorganization of hippocampal networks. However, whether fine changes in network activity might be present at very early stages, before Aβ overproduction, remains to be determined. We therefore assessed whether theta and gamma oscillations and their cross-frequency coupling, which are known to be essential for normal memory function, were precociously altered in the hippocampus. Electrophysiological field potential recordings were performed using complete hippocampal preparations in vitro from young transgenic CRND8 mice, a transgenic mouse model of AD. Our results indicate that a significant proportion of 1-month-old Tg CRND8 mice showed robust alterations of theta-gamma cross-frequency coupling in the principal output region of the hippocampus, the subiculum. In addition we showed that, compared to controls, these mice expressed negligible levels of Aβ. Finally, these network alterations were not due to genetic factors as 15-day-old animals did not exhibit theta-gamma coupling alterations. Thus, initial alterations in hippocampal network activity arise before Aβ accumulation and may represent an early biomarker for AD. [ABSTRACT FROM AUTHOR]
Copyright of European Journal of Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Label: Title
  Group: Ti
  Data: Alterations in hippocampal network oscillations and theta-gamma coupling arise before Aβ overproduction in a mouse model of Alzheimer's disease.
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  Data: <searchLink fieldCode="AR" term="%22Goutagny%2C+Romain%22">Goutagny, Romain</searchLink><br /><searchLink fieldCode="AR" term="%22Gu%2C+Ning%22">Gu, Ning</searchLink><br /><searchLink fieldCode="AR" term="%22Cavanagh%2C+Chelsea%22">Cavanagh, Chelsea</searchLink><br /><searchLink fieldCode="AR" term="%22Jackson%2C+Jesse%22">Jackson, Jesse</searchLink><br /><searchLink fieldCode="AR" term="%22Chabot%2C+Jean‐Guy%22">Chabot, Jean‐Guy</searchLink><br /><searchLink fieldCode="AR" term="%22Quirion%2C+Rémi%22">Quirion, Rémi</searchLink><br /><searchLink fieldCode="AR" term="%22Krantic%2C+Slavica%22">Krantic, Slavica</searchLink><br /><searchLink fieldCode="AR" term="%22Williams%2C+Sylvain%22">Williams, Sylvain</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Neuroscience%22">European Journal of Neuroscience</searchLink>. Jun2013, Vol. 37 Issue 12, p1896-1902. 7p. 5 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Hippocampus+%28Brain%29%22">Hippocampus (Brain)</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+neural+networks%22">Biological neural networks</searchLink><br /><searchLink fieldCode="DE" term="%22Alzheimer's+disease%22">Alzheimer's disease</searchLink><br /><searchLink fieldCode="DE" term="%22Laboratory+mice%22">Laboratory mice</searchLink><br /><searchLink fieldCode="DE" term="%22Neurodegeneration%22">Neurodegeneration</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+ability%22">Cognitive ability</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Alzheimer's disease ( AD) is an age-related neurodegenerative disorder characterized by memory impairments. Brain oscillatory activity is critical for cognitive function and is altered in AD patients. Recent evidence suggests that accumulation of soluble amyloid-beta ( Aβ) induces reorganization of hippocampal networks. However, whether fine changes in network activity might be present at very early stages, before Aβ overproduction, remains to be determined. We therefore assessed whether theta and gamma oscillations and their cross-frequency coupling, which are known to be essential for normal memory function, were precociously altered in the hippocampus. Electrophysiological field potential recordings were performed using complete hippocampal preparations in vitro from young transgenic CRND8 mice, a transgenic mouse model of AD. Our results indicate that a significant proportion of 1-month-old Tg CRND8 mice showed robust alterations of theta-gamma cross-frequency coupling in the principal output region of the hippocampus, the subiculum. In addition we showed that, compared to controls, these mice expressed negligible levels of Aβ. Finally, these network alterations were not due to genetic factors as 15-day-old animals did not exhibit theta-gamma coupling alterations. Thus, initial alterations in hippocampal network activity arise before Aβ accumulation and may represent an early biomarker for AD. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of European Journal of Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Alzheimer's disease
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              Text: Jun2013
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