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Exploring Electroencephalograms (EEGs) and Event-Related Potentials (ERPs), this overview highlights their use in tracking brain activity and diagnosing neurological disorders. EEGs record brain waves to monitor states of consciousness, while ERPs focus on the brain's response to specific stimuli, aiding in cognitive research and clinical practice. Both methods offer non-invasive, cost-effective insights with high temporal resolution, despite some limitations in spatial resolution.
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EEGs are neurophysiological methods used to monitor brain activity by recording electrical signals from the cerebral cortex through electrodes placed on the scalp
Alpha, Beta, Theta, and Delta Waves
EEGs can detect different types of brain waves, including Alpha, Beta, Theta, and Delta waves, which correspond to different brain states
EEGs are used in diagnosing neurological disorders such as epilepsy and in experimental psychology to study cognitive functions
ERPs are derived from EEG data and are used to isolate the brain's electrical response to specific sensory or cognitive events
P1, N1, N2, and P3 Waves
ERPs can isolate specific brain responses, such as the P1, N1, N2, and P3 waves, which are distinguished by their polarity, latency, and topography
ERPs are used in clinical practice for diagnosing conditions and in cognitive neuroscience research to study brain processes
EEGs and ERPs are non-invasive, affordable, and have excellent temporal resolution, making them valuable tools for tracking brain activity
Spatial Resolution and Artifacts
EEGs and ERPs have limitations in spatial resolution and are susceptible to artifacts, such as muscle movements and external electrical sources
Factors Affecting Results
Factors such as age, state of consciousness, and environmental conditions can influence the results of EEGs and ERPs, requiring careful experimental control