Mouse Scalp Eeg
Mouse Scalp Eeg - Related Videos
11:25
Simultaneous Scalp Electroencephalography (EEG), Electromyography (EMG), and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
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Cited by 28 •
2013
Development of an effective brain-machine-interface (BMI) system for restoration and rehabilitation of bipedal locomotion requires accurate decoding of user's intent. Here we present a novel experimental protocol and data collection technique for simultaneous non-invasive acquisition of neural activity, muscle activity, and whole-body kinematics during various locomotion tasks and conditions.
09:19
Electro-encephalography (EEG)
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2023
EEG is a non-invasive technique that can measure brain activity. The neural activity generates electrical signals that are recorded by EEG electrodes placed on the scalp. When an individual is engaged in performing a cognitive task, brain activity changes and these changes can be recorded on the EEG graph. Therefore, it is a powerful tool for cognitive scientist aiming to better understand the neural correlates associated with different aspects of cognition, which will ultimately help them...
06:58
Non-restraining EEG Radiotelemetry: Epidural and Deep Intracerebral Stereotaxic EEG Electrode Placement
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Cited by 21 •
2016
Non-restraining EEG radiotelemetry is a valuable methodological approach to record in vivo long-term electroencephalograms from freely moving rodents. This detailed protocol describes stereotaxic epidural and deep intracerebral electrode placement in different brain regions in order to obtain reliable recordings of CNS rhythmicity and CNS related behavioral stages.
19:32
Preterm EEG: A Multimodal Neurophysiological Protocol
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Cited by 39 •
2012
This video explains the background theory of the neonatal EEG activity and the sensory responses, followed by a live demonstration of their recording in neonatal intensive care unit.
09:35
Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG
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Cited by 5 •
2017
Theta activity in the hippocampus is related to specific cognitive and behavioral stages. Here, we describe an analytical method to detect highly-organized theta oscillations within the hippocampus using a time-frequency (i.e., wavelet analysis)-based approach.
FAQs
Electrodes detect small voltage fluctuations associated with coordinated neuronal activity at the scalp. Because these signals are weak, the recording system amplifies them before conversion into digital data. The resulting signal can be examined as changing waveforms, allowing researchers to relate electrical activity to neural function during defined behavioral or experimental conditions.
Waveform patterns show how electrical activity changes over time, whereas frequency-band analysis organizes the signal according to its frequency content. These complementary views help researchers characterize neural dynamics without relying on a single feature of the recording. Together, they support analysis of changing brain states during sleep, arousal, sensory processing, or disease-related activity.
High time resolution allows researchers to follow transitions in brain activity as they occur rather than treating neural function as static. This is especially relevant when studying changing states such as sleep and arousal, or when relating neural events to behavior. Tracking these dynamics can also help evaluate how neurological disease or treatment alters brain activity over time.
The same recording approach can reveal different neural patterns depending on the behavioral state or experimental condition being examined. Defining those conditions gives the measured waveforms and frequency content a meaningful context for comparison. Researchers can then connect changes in electrical activity with sensory processing, development, neurological disorders, or treatment-related effects rather than interpreting signals in isolation.
A typical workflow places electrodes on the mouse scalp, records the resulting voltage fluctuations, amplifies the weak signals, and digitizes them for analysis. Researchers then examine the data as waveform patterns or frequency bands under specified conditions. This sequence converts scalp measurements into time-resolved information that can be compared across behavioral states, disease models, or treatment conditions.
Mouse scalp EEG is useful when a study requires repeated tracking of brain-state dynamics while examining sleep, arousal, sensory processing, brain development, or neurological disorders. Its applications also include studying seizure activity and evaluating treatment effects. By connecting neural activity with behavior over time, the method can help investigate disease mechanisms and treatment-related changes.