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Exploring Electroencephalograms (EEGs) and Event-Related Potentials (ERPs), this overview highlights their use in monitoring brain activity, diagnosing neurological disorders, and understanding cognitive functions. EEGs record brain wave patterns, while ERPs focus on brain responses to stimuli, both offering non-invasive, high temporal resolution methods with clinical and research applications.
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EEGs are instrumental techniques used in neurophysiology to monitor brain activity and detect abnormalities or patterns related to various brain states
Electrode Placement
EEGs involve the strategic placement of electrodes across the scalp to record the brain's electrical activity
Conductive Gel or Paste
A conductive gel or paste is often used to enhance the electrical conductivity between the electrodes and the skin
EEGs capture the ongoing electrical fluctuations produced by the synchronous activity of neurons, resulting in distinct patterns such as alpha, beta, theta, and delta waves
ERPs are derived from EEG recordings and are specifically time-locked to external stimuli, providing insight into cognitive processes
P1, N1, N2, and P3
ERPs are composed of multiple components, each defined by its polarity, latency, and topographical distribution on the scalp, and are markers of specific cognitive functions
ERPs have been utilized in diverse areas of psychological and clinical research, offering insights into the neural underpinnings of sensory processing, attention, and memory, among other cognitive functions
EEGs and ERPs are advantageous due to their non-invasive nature, high temporal resolution, and relative affordability, making them useful in clinical settings for diagnosing conditions such as epilepsy and sleep disorders
Spatial Resolution
EEGs and ERPs have low spatial resolution compared to imaging methods like fMRI
Artifact Interference
The presence of artifacts from muscle or eye movements can complicate data interpretation in EEGs and ERPs