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Event-related potential

An event-related potential (ERP) is the measured brain response that is the direct result of a specific sensory, cognitive, or motor event.[1] More formally, it is any stereotyped electrophysiological response to a stimulus. The study of the brain in this way provides a noninvasive means of evaluating brain functioning.

See also: Evoked potential

ERPs are measured by means of electroencephalography (EEG). The magnetoencephalography (MEG) equivalent of ERP is the ERF, or event-related field.[2] Evoked potentials and induced potentials are subtypes of ERPs.

History[edit]

With the discovery of the electroencephalogram (EEG) in 1924, Hans Berger revealed that one could measure the electrical activity of the human brain by placing electrodes on the scalp and amplifying the signal. Changes in voltage can then be plotted over a period of time. He observed that the voltages could be influenced by external events that stimulated the senses. The EEG proved to be a useful source in recording brain activity over the ensuing decades. However, it tended to be very difficult to assess the highly specific neural process that are the focus of cognitive neuroscience because using pure EEG data made it difficult to isolate individual neurocognitive processes. Event-related potentials (ERPs) offered a more sophisticated method of extracting more specific sensory, cognitive, and motor events by using simple averaging techniques. In 1935–1936, Pauline and Hallowell Davis recorded the first known ERPs on awake humans and their findings were published a few years later, in 1939. Due to World War II not much research was conducted in the 1940s, but research focusing on sensory issues picked back up again in the 1950s. In 1964, research by Grey Walter and colleagues began the modern era of ERP component discoveries when they reported the first cognitive ERP component, called the contingent negative variation (CNV).[3] Sutton, Braren, and Zubin (1965) made another advancement with the discovery of the P3 component.[4] Over the next fifteen years, ERP component research became increasingly popular. The 1980s, with the introduction of inexpensive computers, opened up a new door for cognitive neuroscience research. Currently, ERP is one of the most widely used methods in cognitive neuroscience research to study the physiological correlates of sensory, perceptual and cognitive activity associated with processing information.[5]

Nomenclature[edit]

ERP waveforms consist of a series of positive and negative voltage deflections, which are related to a set of underlying components.[8] Though some ERP components are referred to with acronyms (e.g., contingent negative variation – CNV, error-related negativity – ERN), most components are referred to by a letter (N/P) indicating polarity (negative/positive), followed by a number indicating either the latency in milliseconds or the component's ordinal position in the waveform. For instance, a negative-going peak that is the first substantial peak in the waveform and often occurs about 100 milliseconds after a stimulus is presented is often called the N100 (indicating its latency is 100 ms after the stimulus and that it is negative) or N1 (indicating that it is the first peak and is negative); it is often followed by a positive peak, usually called the P200 or P2. The stated latencies for ERP components are often quite variable, particularly so for the later components that are related to the cognitive processing of the stimulus. For example, the P300 component may exhibit a peak anywhere between 250 ms – 700 ms.

Advantages and disadvantages[edit]

Relative to behavioral measures[edit]

Compared with behavioral procedures, ERPs provide a continuous measure of processing between a stimulus and a response, making it possible to determine which stage(s) are being affected by a specific experimental manipulation. Another advantage over behavioral measures is that they can provide a measure of processing of stimuli even when there is no behavioral change. However, because of the significantly small size of an ERP, it usually takes a large number of trials to accurately measure it correctly.[9]

[10][11]

AD/HD

[12]

Dementia

[13]

Parkinson's disease

[14]

Multiple sclerosis

Head injuries

[15]

Stroke

[16]

[17]

Obsessive-compulsive disorder

[18][19]

Schizophrenia

[20]

Depression

[21]

Autism spectrum disorder

– to monitor the efficiency of cognitive processes[22]

Epilepsy

Physicians and neurologists will sometimes use a flashing visual checkerboard stimulus to test for any damage or trauma in the visual system. In a healthy person, this stimulus will elicit a strong response over the primary visual cortex located in the occipital lobe, in the back of the brain.


ERP component abnormalities in clinical research have been shown in neurological conditions such as:

Bereitschaftspotential

C1 and P1

Contingent negative variation

Difference due to memory

Early left anterior negativity

Erich Schröger

Error-related negativity

Evoked potential

Induced activity

Lateralized readiness potential

Mismatch negativity

Negativity: • Visual N1N170N200N2pcN400

N100

Positivity: • P300P3aP3bLate positive componentP600

P200

Somatosensory evoked potential

– ERP Summer School 2017 was held in The School of Psychology, Bangor University from 25–30 June 2017

[1]

– A freely available, open-source, Matlab toolbox for processing and analyzing EEG data

EEGLAB Toolbox

– A freely available, open-source, Matlab toolbox for processing and analyzing ERP data

ERPLAB Toolbox

Archived 2016-11-28 at the Wayback Machine – A series of training workshops for ERP researchers led by Steve Luck and Emily Kappenman

The ERP Boot Camp

– A blog with information, announcements, and tips about ERP methodology

Virtual ERP Boot Camp