- Series Information
- Short Contents
- Oxford Library Of Psychology
- About The Editors
- ERP Components: The Ups and Downs of Brainwave Recordings
- Beyond ERPs: Oscillatory Neuronal Dynamics
- ERP Features and EEG Dynamics: An ICA Perspective
- Sensory ERP Components
- The N170: Understanding the Time Course of Face Perception in the Human Brain
- The Mismatch Negativity (MMN)
- Neuropsychology of P300
- Negative Slow Waves as Indices of Anticipation: The Bereitschaftspotential, the Contingent Negative Variation, and the Stimulus-Preceding Negativity
- The Lateralized Readiness Potential
- The Error-Related Negativity (ERN/Ne)
- ERP Components and Selective Attention
- Electrophysiological Correlates of the Focusing of Attention within Complex Visual Scenes: N2pc and Related ERP Components
- What ERPs Can Tell Us about Working Memory
- Electrophysiological Correlates of Episodic Memory Processes
- Language-Related ERP Components
- ERPs and the Study of Emotion
- Event-Related Potentials and Development
- The Components of Aging
- Abnormalities of Event-Related Potential Components in Schizophrenia
- Event-Related Brain Potentials in Depression: Clinical, Cognitive, and Neurophysiological Implications
- Alterations of ERP Components in Neurodegenerative Diseases
- Homologues of Human ERP Components in Nonhuman Primates
Abstract and Keywords
This chapter provides an overview of the main sensory evoked potentials of the auditory, somatosensory, and visual modalities. The short-latency sensory auditory, somatosensory, and visual evoked potentials are widely used in clinical practice, and their role in the context of event-related potential (ERP) studies is mostly as controls for the integrity of the sensory input to the central nervous system. Their description in this chapter therefore includes recording methods, waveform descriptions, and generators. The auditory middle-latency and long-latency components reflect cortical activity that often includes elements of cognitive processing of the sensory input. Their descriptions are therefore more detailed.
Hillel Pratt, Technion–Israel Institute of Technology, Haifa, Israel.
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