![eeg en vivo eeg en vivo](https://larepublica.pe/resizer/34JES0glHKiln9iXqG8wpoDWx6o=/480x282/top/smart/cloudfront-us-east-1.images.arcpublishing.com/gruporepublica/XQETOFXAXVAHHNSZGLLUQMO7KA.jpg)
Siwek, …Weiergräber et al., 2015 (Neural Plasticity) Paesler, …Weiergräber et al., 2015 (Neural Plasticity) Lundt, …, Weiergräber, 2016 (Neural Plasticity) Papazoglou, …, Weiergräber, 2016 (Journal of Visualized Experiments) Weiergräber et al., 2005 (Brain Research Protocols) (d) C57Bl/6 mouse 4 weeks post implantation (minimal implantation weight: 20g /12 wks) Radiofrequency transmitter, receiver, multiplexer, data (b) Ventilated cabinet for telemetry recording system Hz nominal sampling rate (f) 240 Hz (f ≈ 5B) PhysioTel-transmitter TL11M2-F20EET: 3.9 g 1.9 cm3 bandwidth (B) 1-50 Transmitters for Mouse Video-EEG-Radiotelemetryīiopotentials (EEG, ECG, EMG), motor activity, body core temperature …Weiergräber, 2017 (PLOS ONE) Ryan, …Weiergräber, …Ehninger, 2017 (Molecular Psychiatry)Ĭomputerized 3D Stereotaxic EEG-Electrode Implantation Siwek, …Weiergräber et al., 2015 (Neural Plasticity) Papazoglou, …, Weiergräber, 2016 (Journal of Visualized Experiments) Müller, …, Weiergräber, 2017 (Journal of Visualized Experiments) Papazoglou, Weiergräber et al., 2005 (Brain Research Protocols) Siwek, …, Weiergräber, 2014 (Sleep) Lundt, …, Weiergräber, 2016 (Neural Plasticity) Paesler, …Weiergräber et al., 2015 (Neural Plasticity) Radiotelemetric Setup in Ventilated Cabinets / Faraday Cages Analysis of EEG time-frequency characteristics using FFT-based approaches.
![eeg en vivo eeg en vivo](https://i.ytimg.com/vi/T_3oGKLODsQ/maxresdefault.jpg)
![eeg en vivo eeg en vivo](https://i.ytimg.com/vi/ENREi7VGxC0/hqdefault.jpg)
Measuring REM and non-REM sleep in rats, and hippocampal theta Studies highlighting the use of DSI small animal EEG telemetry for Measuring EEG in vivo for Preclinical Evaluation of Sleep and Alzheimer’s DiseaseĮvaluation of Sleep and Alzheimer’s DiseaseĮxperts demonstrate implantation procedure and present case
Eeg en vivo how to#
She shares data collected using DSI’s F40-EET telemetry implant while concurrently measuring sleep, physical activity, feeding and energy expenditure using a Promethion Metabolic system, and shows how to calculate energy efficiency for non-REM and REM sleep stages, as well as individual components of total energy expenditure. Specifically, she discusses experimental procedure for successful telemeter implantation and integration of DSI hardware with metabolic systems. Jennifer Teske presents how DSI telemetry can used to determine energy efficiency of non-REM and REM sleep, and how telemetry can be combined with metabolic systems to quantify components of energy expenditure and movement in rodents. Weiergräber describes analysis of theta activity and presents a self-made automatic detection system for highly organized theta oscillations.įollowing, Dr. Furthermore, he illustrates how to perform simultaneous video-EEG recordings and how to prepare for downstream analysis of spontaneous and pharmacologically-induced hippocampal theta oscillations. Weiergräber presents implantation process for the F20-EET and HD-XO2 transmitters, including pre-, intra- and postoperative specifics that drive successful surgery and recordings. By way of case study, each presents procedure, best-practices and shares experimental results in hopes to demonstrate the novel application of complimentary technologies for measuring neuronal activity. Jennifer Teske discuss methodology and application of DSI telemetry in small animal models. In this webinar, sponsored by Data Sciences International (DSI), Dr.