P300 (neuroscience)

The P300 (P3) wave is an event related potential (ERP) elicited by infrequent, task-relevant stimuli. It is considered to be an endogenous potential as its occurrence links not to the physical attributes of a stimulus but to a person's reaction to the stimulus. More specifically, the P300 is thought to reflect processes involved in stimulus evaluation or categorization. It is usually elicited using the oddball paradigm in which low-probability target items are inter-mixed with high-probability non-target (or "standard") items.

When recorded by electroencephalography (EEG), it surfaces as a positive deflection in voltage with a latency (delay between stimulus and response) of roughly 300 to 600 ms. The signal is typically measured most strongly by the electrodes covering the parietal lobe. The presence, magnitude, topography and timing of this signal are often used as metrics of cognitive function in decision making processes. While the neural substrates of this ERP still remain hazy, the reproducibility of this signal makes it a common choice for psychological tests in both the clinic and laboratory.

History

Early observations of the P3b were reported in the mid-1960s. In 1964, researchers Chapman and Bragdon ^[1] found that ERP responses to visual stimuli differed depending on whether the stimuli had meaning or not. They showed subjects two kinds of visual stimuli: numbers and flashes of light. Subjects viewed these stimuli one at a time in a sequence. For every two numbers, the subjects were required to make simple decisions, such as telling which of the two numbers was numerically smaller or larger, which came first or second in the sequence, or whether they were equal. When examining evoked potentials to these stimuli (i.e., ERPs), Chapman and Bragdon found that both the numbers and the flashes elicited the expected sensory responses (e.g., visual N1 components), and that the amplitude of these responses varied in an expected fashion with the intensity of the stimuli. They also found that the ERP responses to the numbers, but not to the light flashes, contained a large positivity that peaked around 300ms after the stimulus appeared. Chapman and Bragdon speculated that this differential response to the numbers, which came to be known as the P300 response, resulted from the fact that the numbers were meaningful to the participants, based on the task that they were asked to perform.

In 1965, Sutton and colleagues published results from two experiments that further explored this late positivity. They presented subjects with either a cue that indicated whether the following stimulus would be a click or a flash, or a cue which required subjects to guess whether the following stimulus would be a click or a flash. They found that when subjects were required to guess what the following stimulus would be, the amplitude of the “late positive complex”^[2] was larger than when they knew what the stimulus would be. In a second experiment, they presented two cue types. For one cue there was a 2 in 3 chance that the following stimulus would be a click and a 1 in 3 chance that the following stimulus would be a flash. The second cue type had probabilities that were the reverse of the first. They found that the amplitude of the positive complex was larger in response to the less probable stimuli, or the one that only had a 1 in 3 chance of appearing. Another important finding from these studies is that this late positive complex was observed for both the clicks and flashes, indicating that the physical type of the stimulus (auditory or visual) did not matter.

In later studies published in 1967, Sutton and colleagues had subjects guess whether they would hear one click or two clicks.^[3] They observed a positivity around 300ms after the second click occurred or would have occurred in the case of the single click. They also had subjects guess how long the interval between clicks might be, and the late positivity occurred 300ms after the second click. This shows two important findings: first that this late positivity occurred when the uncertainty about the type of click was resolved, and second that even an absence of a stimulus, when it was relevant to the task, would elicit the late positive complex. These early studies encouraged the use of ERP methods to study cognition and provided a foundation for the extensive work on the P3b in the decades that followed.

P3a and P3b

Main articles: P3a and P3b

Since the initial discovery of this ERP component, research has shown that the P300 is not a unitary phenomenon. Rather, we can distinguish between two subcomponents of the P300: the novelty P3, or P3a, and the classic P3, or P3b.^[4] The P3a, or novelty P3^[5], is a component of time-locked (EEG) signals known as event-related potentials (ERP). The P3a is a positive-going scalp-recorded brain potential that has a maximum amplitude over frontal/central electrode sites with a peak latency falling in the range of 250-280 ms. The P3a has been associated with brain activity related to the engagement of attention (especially orienting and involuntary shifts to changes in the environment) and the processing of novelty.^[6] The P3b is a positive-going ERP amplitude (usually relative to a reference behind the ear or the average of two such references) peaking at around 300ms, though the peak will vary in latency from 250-500ms or later depending upon the task.^[7] Amplitudes are typically highest on the scalp over parietal brain areas.^[8] The P3b has been a prominent tool used to study cognitive processes, especially psychology research on information processing. Generally speaking, improbable events will elicit a P3b, and the less probable the event, the larger the P3b.^[9] However, in order to elicit a P3b, the improbable event must be related to the task at hand in some way (for example, the improbable event could be an infrequent target letter in a stream of letters, to which a subject might respond with a button press). The P3b can also be used to measure how demanding a task is on cognitive workload.^[10]

Applications

Since the mid 1980s, one of the most discussed uses of ERPs such as the P300 is related to lie detection. In a proposed "guilty knowledge test ^[11]" a subject is interrogated via the oddball paradigm much as they would be in a typical lie-detector situation. This practice has recently enjoyed increased legal permissibility while conventional polygraphy has seen its use diminish, in part owing to the unconscious and uncontrollable aspects of the P300. The technique relies on reproducible elicitation of the P300 wave, central to the idea of a Memory and Encoding Related Multifaceted Electroencephalographic Response (MERMER) developed by Dr. Lawrence Farwell.

Applications in brain-computer interfacing have also been proposed ^[12][13][14]. The P300 has a number of desirable qualities that aid in implementation of such systems. First, the waveform is consistently detectable and is elicited in response to precise stimuli. The P300 waveform can also be evoked in nearly all subjects with little variation in measurement techniques, which may help simplify interface designs and permit greater usability. The speed at which an interface is able to operate depends on how detectable the signal is despite “noise.” One negative characteristic of the P300 is that the amplitude of the waveform requires averaging of multiple recordings to isolate the signal. This and other post-recording processing steps determine the overall speed of an interface ^[13]. The algorithm proposed by Farwell and Donchin ^[15] provides an example of a simple BCI that relies on the unconscious decision making processes of the P300 to drive a computer. A 6x6 grid of characters is presented to the subject, and various columns or rows are highlighted. When a column or row contains the character a subject desires to communicate, the P300 response is elicited (since this character is “special” it is the target stimulus described in the typical oddball paradigm). The combination of the row and column which evoked the response locates the desired character. A number of such trials must be averaged to clear noise from the EEG. The speed of the highlighting determines the number of characters processed per minute. Results from studies using this setup show that normal subjects could achieve a 95% success rate at 3.4-4.3 chars/min. It remains to be shown whether such systems provide similar results in patients suffering from locked-in syndrome, the main target population for such brain driven devices.

Scientific research often relies on measurement of the P300 to examine event related potentials, especially with regard to decision making. Because cognitive impairment is often correlated with modifications in the P300, the waveform can be used as a measure for the efficacy of various treatments on cognitive function. Some have suggested its use as a clinical marker for precisely these reasons. There is a broad range of uses for the P300 in clinical research ^[16].

See also

• Brain fingerprinting
• Somatosensory evoked potential
• C1 and P1
• Visual N1
• Mismatch negativity
• N100
• N200
• N2pc
• N170
• P200
• N400
• P3a
• P3b
• Late Positive Component
• Difference due to Memory
• Contingent negative variation
• Error-related negativity
• Bereitschaftspotential
• Lateralized readiness potential
• Early left anterior negativity
• P600

References

1. ^ Chapman, R.M. & Bragdon, H.R. (1964). Evoked responses to numerical and non-numerical visual stimuli while problem solving. Nature, 203, 1155-1157.
2. ^ Sutton, S., Braren, M., Zubin, J., & John, E.R. (1965). Evoked-Potential Correlates of Stimulus Uncertainty. Science, 150, 1187-1188.
3. ^ Sutton, S., Tueting, P., Zubin, J., & John, E.R. (1967). Information delivery and the sensory evoked potential. Science, 155, 1436-1439.
4. ^ Squires, N.K., Squires, K.C., & Hillyard, S.A. (1975). Two varieties of long-latency positive waves evoked by unpredictable auditory stimuli in man. Electroencephalography & Clinical Neurophysiology, 38, 387-401.
5. ^ Comerchero, M. D.; Polich, J. (1999). "P3a and P3b from typical auditory and visual stimuli". Clinical Neurophysiology 110 (1): 24–30. doi:10.1016/S0168-5597(98)00033-1. PMID 10348317. 
6. ^ Polich, J. (2003). Overview of P3a and P3b. In J. Polich (Ed.), Detection of Change:Event-Related Potential and fMRI Findings (pp. 83-98). Kluwer Academic Press: Boston.
7. ^ Polich, J. (2007). Updating P300: An integrative theory of P3a and P3b. Clinical Neurophysiology, 118(10), 2128-2148.
8. ^ Polich, J. (2007). Updating P300: An integrative theory of P3a and P3b. Clinical Neurophysiology, 118(10), 2128-2148.
9. ^ Donchin, E. (1981). "Presidential Address, 1980: Surprise!...Surprise?." Psychophysiology 18(5): 493-513.
10. ^ Donchin, E. (1981). "Presidential Address, 1980: Surprise!...Surprise?." Psychophysiology 18(5): 493-513.
11. ^ Farwell LA, Smith SS, "Using brain MERMER testing to detect knowledge despite efforts to conceal." J Forensic Sci 46 (1): 135-143 Jan 2001.
12. ^ Piccione F, Giorgi F, Tonin P, et al. “P300-based brain computer interface: Reliability and performance in healthy and paralysed participants”Clin Neurophysiol 117 (3): 531-537 Mar 2006
13. ^ ^{a b} Donchin E, Spencer KM, Wijesinghe R, “The Mental Prosthesis: Assessing the Speed of a P300-Based Brain–Computer Interface” IEEE Transactions on Rehabilitation Engineering, 8(2) Jun 2000
14. ^ Nijboer F, Sellers EW, Mellinger J et al. “A P300-based brain–computer interface for people with amyotrophic lateral sclerosis”Clin Neurophysiol 119: 1909–1916
15. ^ L. A. Farwell and E. Donchin, “Talking off the top of your head: A mental prosthesis utilizing event-related brain potentials,” Electroencephalogr. Clin. Neurophysiol., vol. 70, pp. 510–523, 1988.
16. ^ Hansenne M, “The P300 event-related potential. II. Interindividual variability and clinical application in psychopathology.” Clinl Neurophysiol 30 (4): 211-231 Aug 2000

External links

• MeSH P300+Event-Related+Potentials