title: Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG.
abstract: Theta activity is generated in the septohippocampal system and can be recorded using deep intrahippocampal electrodes and implantable electroencephalography (EEG) radiotelemetry or tether system approaches. Pharmacologically, hippocampal theta is heterogeneous (see dualistic theory) and can be differentiated into type I and type II theta. These individual EEG subtypes are related to specific cognitive and behavioral states, such as arousal, exploration, learning and memory, higher integrative functions, etc. In neurodegenerative diseases such as Alzheimer's, structural and functional alterations of the septohippocampal system can result in impaired theta activity/oscillations. A standard quantitative analysis of the hippocampal EEG includes a Fast-Fourier-Transformation (FFT)-based frequency analysis. However, this procedure does not provide details about theta activity in general and highly-organized theta oscillations in particular. In order to obtain detailed information on highly-organized theta oscillations in the hippocampus, we have developed a new analytical approach. This approach allows for time- and cost-effective quantification of the duration of highly-organized theta oscillations and their frequency characteristics.
authors.affiliation: Department of Psychiatry and Psychotherapy, University of Cologne.
authors.forename: Ralf
authors.initials: R
authors.lastname: Müller
authors.affiliation: Department of Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices.
authors.forename: Anna
authors.initials: A
authors.lastname: Papazoglou
authors.affiliation: Department of Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices.
authors.forename: Julien
authors.initials: J
authors.lastname: Soos
authors.affiliation: Department of Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices.
authors.forename: Andreas
authors.initials: A
authors.lastname: Lundt
authors.affiliation: Department of Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices.
authors.forename: Carola
authors.initials: C
authors.lastname: Wormuth
authors.affiliation: Department of Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices.
authors.forename: Christina
authors.initials: C
authors.lastname: Henseler
authors.affiliation: Molecular and Cellular Cognition Lab, German Center for Neurodegenerative Diseases.
authors.forename: Dan
authors.initials: D
authors.lastname: Ehninger
authors.affiliation: Federal Institute for Drugs and Medical Devices.
authors.forename: Karl
authors.initials: K
authors.lastname: Broich
authors.affiliation: Department of Neuropsychopharmacology, Federal Institute for Drugs and Medical Devices; Marco.Weiergraeber@bfarm.de.
authors.forename: Marco
authors.initials: M
authors.lastname: Weiergräber
mesh_terms: D000818:Animals; D001115:Arecoline / Q000494:pharmacology; D004567:Electrodes, Implanted; D004569:Electroencephalography / Q000295:instrumentation / Q000379:methods*; D006624:Hippocampus / Q000187:drug effects / Q000502:physiology*; D008810:Mice, Inbred C57BL; D010862:Pilocarpine / Q000494:pharmacology; D012815:Signal Processing, Computer-Assisted; D013686:Telemetry / Q000295:instrumentation / Q000379:methods; D013826:Theta Rhythm / Q000502:physiology*; D014520:Urethane / Q000494:pharmacology
chemical_list: D010862:Pilocarpine; D014520:Urethane; D001115:Arecoline