Abstract
The P300 plays a key role as a method for monitoring and evaluating dementia, including Alzheimer's disease.
Objective: The goal of this study was to search for articles which analyzed P300 latency and amplitude values in Alzheimer's disease.
Methods: We searched in the following databases: Web of Science, Pub Med, Psyc Info, Medline, Biological Abstracts and Scielo using the following keywords: speed of information processing, processing speed, information processing, aged, older, elderly, older people, alzheimer dementia, alzheimer disease, Alzheimer and cross-references of selected articles.
Results: We found eight studies matching the inclusion criteria. These studies showed that there is a consensus on a P300 latency increase of elderly patients with Alzheimer's disease compared with subjects without the disease. However, it appears that, with respect to the P300 amplitude, there is still no consensus; however, it may be related to different methodological variables adopted in the reviewed studies.
Conclusion: There is a need to standardize the variables involved in P300 measurement for senior citizens with Alzheimer's disease in order to be able to compare P300 latency and amplitude values for this population.
Keywords: aging, alzheimer disease, cognition, event-related potentials, p300
INTRODUCTION
Event-related evoked potentials, also known as cognitive evoked responses - especially the P300, play a fundamental role as a method for dementia assessment and monitoring, Alzheimer's disease (AD) included1, 2, 3, 4.
The auditory P300 is characterized by a large amplitude wave, which is generated by the expectation of discrimination (in attention of) concerning a so-called rare stimulus (target), in opposition to a frequent stimulus (standard), and it appears approximately at 300 ms after the stimulus onset, varying to more than 400 ms, according to age and/or dementia5.
This is an important tool which assesses information processing time6, 7. In general, previous studies reported an increase in latency and reduction of the P300 amplitude in AD patients when compared to youngsters, elderly, or even patients with mild cognitive involvement2, 8, 9, 10, 11. Nevertheless, some of these studies leave gaps as to finding possible auditory involvement which may impact the results, as well as the confirmation of a clinical diagnosis of AD by using official criteria from international institutions (ICD, DSM, NINCDS/ADRDA), having in mind that many of the studies are very old.
Some papers went more in-depth and investigated the possible links between Alzheimer's and the lower performance (i.e., higher latency) in the P300 test, and the results found show a strong relation between them, such as: (1) The P300 is associated with other cognitive variables which are also impaired in patients with Alzheimer's, such as memory and cognition12, 13, 14 (2) Brain areas, such as the central-parietal cortex, frontal cortex and the hypocampus, generate the P300 wave, which are structures usually affected in patients with AD4, 15, 16, 17; (3) When involved, the cholinergic system, increases P300 latency, and AD impacts such variable2, 18, 19.
Thus, hereby we stress the importance of reviewing scientific papers which investigate the relationship between the P300 and Alzheimer's disease, since variables such as latency and amplitude, especially the former, may provide valuable information concerning information processing, which is impaired in AD. Having such reality in mind, the goal of the present study was to analyze P300 latency and amplitude in elderly with AD, in studies published in the literature, by means of searches in data bases and, afterwards, by crossed references in selected papers, such as the result of this search.
Our study may serve as support for healthcare professionals and suggests a reflection regarding the variables involved in the P300 assessment method, which has been utilized in studies with elderly with Alzheimer's disease, a population with impaired cognition, with difficulties of attention and task understanding.
METHODS
The methodological process in this study was based on a systematic literature review, guided by bibliographic searches in the following databases: Web of Science, Scopus, PsycINFO, Medline and Biological Abstracts, Scielo. These databases were chosen because they specifically approach topics associated with health. Boolean operators and the keywords utilized were: P300 OR electrophysiological OR evoked auditory cognitive potentials OR evoked potential OR auditory evoked potentials) AND (Alzheimer dementia OR Alzheimer disease OR Alzheimer) NOT (visual). There were no restrictions concerning the publication date of the papers. Besides the search in the databases, we also carried out a manual search in the reference lists of the selected papers.
The search for papers started in April of 2011, and we used the following inclusion criteria: (1) Alzheimer's Disease diagnosed according to criteria from official international agencies (ICD, DSM, NINCDS/ADRDA); (2) A sample made up of individuals who did not have auditory impairment; (3) Having an auditory P300; (4) Studies published in English and Portuguese; (5) Controlled studies with cognitively intact elderly. Those papers which do not meet these inclusion criteria were taken off this review.
RESULTS
Our literature search resulted in 744 papers. In a first filtering, by reading the title, we noticed that 581 papers were unrelated to the topic, and there were 163 papers left. Of the papers which were excluded, 146 assessed patients with AD, 277 were not associated with the P300, 25 investigated the effect of substances, 15 were studies with animals and 118 were not associated either with the P300 or AD.
In the second sorting, reading the papers' summaries, we noticed that 108 papers were unrelated to the topic, and only 55 papers remained to be read entirely. Of the excluded papers, three were review papers, 24 did not assess patients with Ad, 47 were unrelated to P300, 15 were unrelated to the auditory P300, two were not controlled studies and 17 did not evaluate the relationship between the P300 and Alzheimer's disease.
By means of the last sorting, and after reading the entire papers, we selected the eight papers which fit our study. The papers excluded in this final stage did not match our study's inclusion criteria: 19 did not assess the auditory P300, 13 did not rule out auditory involvement, 10 were not diagnosed with AD according to the international agencies, five papers were not in English or Portuguese.
We describe below the eight studies selected for this systematic review:
-
1.
Caravaglios et al.20 assessed P300 latency of 21 elderly with AD and had 16 healthy elderly as the control group. There were significant differences between the groups, in such a way that the AD group had a higher latency recorded from Pz, Fz and Cz leads when compared to the control group. We did not analyze P300 amplitude.
-
2.
O'Mahony et al.21 also found significant differences in P300 latency when they compared senior citizens with AD (440.6 ± 65.2 ms) and 20 elderly from the control group (336.4 ± 36.8 ms). We did not analyze P300 amplitude.
-
3.
Lai et al.22 assessed P300 latency and amplitude in Pz from three different groups: AD group (n = 20), group with mild cognitive impairment (n = 18), and the control group (n = 14). Besides the P300, they also had the subjects answer some neuropsychological questionnaires in order to assess attention, recent memory and language. There was a significant P300 latency difference in Pz among the groups, in such a way that the AD group had a higher latency than the group with cognitive involvement, which was higher than that of the control group. There was no significant latency difference in Fz and Cz. There was also no P300 amplitude difference among the three groups.
-
4.
Yamaguchi et al.23 compared P300 latency and amplitude between the group with AD (n = 16), a group with vascular dementia (VD) (n = 16) and the control group (n = 14) and they used the paradigm of three types of stimuli to assess the P300: besides the rare and frequent stimuli they also added distracting stimuli (taken from movies for children).
Comparing P300 latency and amplitude for rare sounds: The AD and VD groups had a higher latency when compared to the control group; however, there were no differences between the dementia groups. There was a significant difference in P300 amplitude, in such a way that the AD and VD groups had lower amplitude when compared to the control group; nevertheless, there were no differences between the dementia groups.
Comparison of P300 latency and amplitude for distracting sounds: there was a significant difference in the P300 difference in such a way that the VD group was significantly higher than the AD and control groups. The AD group did not have a significant difference when compared to the control group. There was also a significant difference in the P300 amplitude, in which the VD group was significantly lower than the AD and controls. The AD group did not show significant differences vis-à -vis the control group.
-
5.
Golob & Starr10 compared 10 senior citizens with Ad and 12 elderly in the control group as to P300 latency and amplitude. There was a statistically significant difference in P300 latency in Cz between the groups, in such a way that the AD group was higher than the control group. There was no P300 amplitude difference.
-
6.
Bennys et al.24 compared P300 from 30 elderly with AD, 20 elderly with mild cognitive involvement and 10 control elderly. Moreover, the following neuropsychiatric testes were employed: Mini-mental, Grober-Buscke, Trail Making Test, Frontal Assessment Battery of tests. Although the paper did not show the exact values regarding P300, the authors showed significant differences in P300 latency among the three groups, in such a way that the AD group was higher than the group with mild cognitive involvement, which was higher than the control group. There was a significant difference also on P300 amplitude, in which the AD group had lower amplitude than the group with mild cognitive impairment and the control group. There was no difference between the control group and that with mild cognitive impairment as far as amplitude is concerned.
The next two papers studied the P300 subcomponents, called P3a and P3b. P3a is associated with a passive response (unconscious) to a rare and new stimulus, in other words, the response not associated with attention. P3b is associated to the task of conscientious detection of a rare stimulus, which requires much more from attention and work memory7. P3b is what we call the P300 in other stimuli; therefore will be analyzed especially the values regarding P3b25.
-
7.
Juckel et al.26 assessed P3a and P3b from the AD (n = 18) and Control groups (n = 18). The AD Group had a higher P3a latency than the control group, but it did not show amplitude differences. There were no significant differences between the groups in P3b latency; nonetheless, there was a difference in P3b amplitude - the AD group had a lower result than that of the control group.
-
8.
Frodl et al.3 compared the P3a and P3b subcomponents of three groups: AD group, group with mild cognitive impairment and the control group of elderly. Besides these analyses, they also employed tests such as Verbal Fluency, Boston Naming Test, Free Word Remembering Test, Constructive Praxia and Word Recognition Test.
The P3a latency test was significantly higher in the AD group, when compared to the control group. The P3b amplitude was significantly lower in the AD group when compared to the controls. There were no differences when the AD group and that with mild cognitive involvement were compared.
In order to further explore the data, the authors also made an analysis in which AD individuals were broken down into two groups: mild and moderate, and they carried out another comparison with the mild cognitive involvement group. The results showed that the P3b amplitude was significantly higher in the group with mild cognitive involvement when compared with the elderly with mild and moderate AD.
Chart 1 presents the characteristics of the P300 assessment method of the reviewed studies and Chart 2 depicts P300 amplitude and latency results in the same studies.
Chart 1.
Paper | No | Leads | Stimulus | Probability | Sti. duration | Sti. Interval. | Sti. total | Task | Instrument | dB |
Caravaglios et al., 2008 | 1 | Fz, Cz and Pz | Pattern =1000 Hz Target =2000 Hz | Pattern: 80%Target: 20% | 60 ms | 3.5 to 5.5 s | 1024 | Press button with the dominant hand | Ear phones | 75 |
Mahony et al., 1996 | 2 | Fz, Cz and Pz | Pattern =1000 Hz Target =2000Hz | Pattern: 80%Target: 15% | 50 ms | — | — | Raise right hand index finger | Ear phones | 60 |
Lai et al., 2010 | 3 | Fz, Cz and Pz | Pattern =1000 Hz Target =2000Hz | Pattern: 84.62%Target: 15.38% | 50 ms | 1 to 2 s | 325 | Press button with right index finger | Ear phones | 80 |
Yamaguchi et al., 2000 | 4 | Cz and Pz | Pattern =1000 Hz Target =2000 HzEnvironmental sounds | Pattern: 65%Target: 20%background sounds: 15% | Pattern e Target: 100 msbackground sounds: 200 ms | 1 to 1.3 s | 400 | Press button | Ear phones | 60* |
Golob & Star, 2000 | 5 | Fz Cz Pz C3 C4 T3 T4 | Pattern = 1000 Hz Target = 2000 Hz | Pattern: 80%Target: 20% | 100 ms | — | 300 | Press button with dominant hand | Speaker at 0.75 meters | 70 |
Bennys et al., 2007 | 6 | Fz, Cz and Pz | Pattern = 1000 Hz Target = 2000 Hz | Pattern: 80%Target: 20% | 100 ms | 1125 ms | 150 | Silent counting | Ear phones | 60 |
Juckel et al., 2008 | 7 | 32channels | Pattern = 500 Hz Target = 1000 Hz | Pattern: 80%Target: 20% | 40 ms | 1.5 s | 500 | Press button | Ear phones | — |
Frodl et al., 2002 | 8 | 29channels | Pattern = 500 Hz Target = 1000 Hz | Pattern: 80%Target: 20% | 40 ms | 500 | Press button with dominant hand | Ear phones | 80 |
60 dBs above each individual's threshold; ms: milliseconds; s: seconds; μV: microvolt; Hz: Hertz.
Chart 2.
Paper | N° | Characterization | Latency (ms) | Amplitude (μV) |
In Fz: | ||||
AD: n = 21 (mean age: 74.9 ± 7.4 years) | AD = 448.5 | |||
CG = 390.2 | ||||
In Pz: | ||||
Caravaglios et al., 2008 | 1 | AD = 462.0 | --------- | |
CG = 387.7 | ||||
CONTROL: n = 16 (mean age: 74.0 ± 8.7 years) | In Fz: | |||
AD = 458.0 | ||||
CG = 391.3 | ||||
Mahony et al., 1996 | 2 | AD: n = 18 (mean age: 74.5 ± 4.3 years) | AD = 440.6 ± 65.2 | |
CONTROL: n = 20 (mean age: 72.7 ± 4.7 years) | CG = 336.4 ± 36.8 | |||
Lai et al., 2010 | 3 | AD: n = 20 (mean age: 71.04 ± 6.52 years) | In Pz: | --------- |
MCI: n = 18 (mean age: 68.00 ± 8.70 years) | AD = 443.72 ± 2.81 | |||
CONTROL: n = 14 (mean age: 64.79 ± 7.75 years) | MCI = 418.78 ± 40.14 | |||
CG = 390.14 ± 27.23 | ||||
AD: n = 16 (mean age: 68.5 ± 8.0 years) | AD = 454.3 ± 86.7 | AD = 45.8 ± 4.3 | ||
Yamaguchi et al., 2000 | 4 | VD: n = 16 (mean age: 68.9 ± 7.3 years) | VD = 462.8 ± 89.5 | VD = 4.8 ± 3.2 |
CONTROL: n = 16 (mean age: 69.6 ± 9.3 years) | CG = 361.7 ± 47.0 | CG = 8.5 ± 4.0 | ||
AD: n = 10 (mean age: 72.0 ± 3.1 years) | In Cz: | In Cz: | ||
Golob & Star, 2000 | 5 | AD = 383.4 | AD = 3.7 | |
CONTROL: n = 12 (mean age: 66.3 ± 1.6 years) | CG = 333.9 | CG = 6.4 | ||
AD: n = 30 (mean age: 70.9 ± 6.8 years) | AD > MCI > CG | AD < MCI andCG | ||
Bennys et al., 2007 | 6 | MCI: n = 20 (mean age: 64.4 ± 7.6 years) | No values | No values |
CONTROL: n = 10 (mean age: 61.6 ± 6.4 years) | ||||
Latency P3a: | Amp. P3a: | |||
AD: n = 18 (mean age: 66.7.9 ± 10.2 years) | AD = 358.6 ± 41.6 | AD = 2.6 ± 2.1 | ||
Juckel et al., 2008 | 7 | CG = 325.9 ± 34.7 | CG = 3.4 ± 2.9 | |
Latency P3b: | Amp. P3b: | |||
CONTROL: n = 16 (mean age: 63.8 ± 11.1 years) | AD = 339.4 ± 34.5 | AD = 3.6 ± 2.1 | ||
CG = 353.6 ± 28.8 | CG = 5.7 ± 2.3 | |||
Latency P3a: | Amp. P3a: | |||
AD: n = 30 (mean age: 69.9 ± 10.3 years) | AD = 369 ± 59 | AD = 2.8 ± 1.7 | ||
MCI: 352 ± 37 | MCI: 2.7 ± 1.8 | |||
Frodl et al., 2002 | 8 | CG = 327 ± 42 | CG = 3.2 ± 2.5 | |
MCI: n = 26 (mean age: 66.2 ± 11.3 years) | Latency P3b: | Amp. P3b: | ||
AD = 362 ± 37 | AD = 3.3 ± 1.9 | |||
CONTROL: n = 26 (mean age: 64.9 ± 10.9 years) | MCI: 352 ± 37 | MCI: 5.2 ± 2.1 | ||
CG = 349 ± 32 | CG = 5.3 ± 2.3 |
AD: Alzheimer's disease; VD: Vascular Dementia; MCI: mild cognitive impairment; CG: Control Group; ms: milliseconds; μV: microvolt.
DISCUSSION
Upon analyzing the eight papers included in the present study, we noticed that four of them compared possible P300 differences between elderly with AD and those in the control group. Three papers compared elderly with AD, those with mild cognitive impairment and the control elderly. Only one study compared the P300 of elderly with AD, vascular dementia and elderly from the control group.
All the papers inserted in this review found significant differences in the P300 latency of elderly with AD and their control counterparts. Analyzing only the mean latency values of these studies, we can see that the group with AD varied between 358 ms24 and 458 ms20, depicting a 100ms margin between the lower and the higher values found in the studies. Young individuals tended to have P300 latencies around 300 ms27, Thus, 100 ms is a very large information processing variation time, since it represents one third of the information processing time in youngsters.
The studies showed a lower variation between the mean P300 latency values among the control elderly, since it varied between 325 ms26 and 391 ms20.
Maybe the major P300 latency variation in AD elderly found in the studies is because they had patients in different stages of dementia. O'Mahony et al.21 assessed AD patients with mild to moderate impairment, and despite not showing the mean scores in the Mini-test of the Mental Status (MEEM), the values from each individual varied from 9 points (severe involvement, according to Folstein28) to 27 points (questionable to mild involvement, according to Folstein et al.28), which shows that the patients were in varied levels of involvement29, 30. Thus, further studies are required to check P300 latency values in AD patients in the different stages of the disease.
The mean P300 amplitude values were assessed in only six of the eight reviewed studies and only four found significant differences between AD elderly and their control counterparts3, 23, 24, 26, showing that the P300 amplitude may not be an important different aspect between cognitively preserved elderly and those with AD. Some studies show that the P300 amplitude is associated with attention, and reduced amplitudes would be associated to a low level of attention31; therefore, maybe the variables involved in the P300 assessment method which were used in the study could have impacted the results.
The P300 assessment methodology is common to all the studies; however, the variables adopted in each of the them vary substantially, especially in regards of intensity, duration and type of acoustic stimulus, interval between stimuli, and even the task they must perform upon perceiving the stimulus. Thus, it is clear the importance of discussing these variables, since such heterogeneity makes it difficult to compare the values between papers.
The frequency of stimuli is one of the variables which did not change so much in the studies, since there is a large array of papers in the literature suggesting the use of 1000 Hz for standard acoustic stimuli; and 2000 Hz for uncommon auditory stimuli32, 33, 34, 35, 36. Notwithstanding, the studies from Juckel et al.26 and Frodl et al.3 used the same protocol which adopted the frequencies of 500 Hz and 1000 Hz for frequent and unusual stimuli, respectively. It is necessary to exert caution when using the lower frequency signals, since there is evidence that the P300 amplitude is reduced and its increased latency when low frequency sound stimuli are used in comparison to the use of higher frequency sounds37.
The total number of stimuli varied between 15024 and 102420. For such variable, there is still no consensus regarding the ideal number of stimuli to perform the task. Notwithstanding, when the number of repetitions exceeds one hundred, there were habituation and fatigue effects, which cause apparent P300 response changes38. Thus, having seen that AD patients have attention deficits and other cognitive involvements, one should adopt the lowest possible number of stimuli which do not compromise the results of the study.
The interval between the stimuli varied between 1 second22, 23 and 5.5 seconds20. Among the factors influencing habituation (i.e., the individual gets used even with the rare stimulus) in the P300 tests are the inter-stimuli intervals, the interval between target stimuli (rare) and the interval between groups of stimuli. Larger P300 amplitudes and lower habituation are associated with higher values for all these temporal parameters39.
The stimulus intensity varied between 60 and 80 dB. According to Spirduso40, stimulus intensity is one of the factors with impact information processing speed. Papanicolau et al.41 confirmed that P300 may vary in accordance to the stimulus intensity: a P300 latency variation was found among young adults submitted to two stimuli with different intensities.
Most of the studies used ear phones for the exam, except the one from Golob & Starr10, which used speakers at 0.75 meters from the individual assessed. Duarte et al.42 did not find P300 amplitude and latency differences when they compared tests using ear phones with speakers; however, the very paper stresses that all the subjects who participated in the study were adults without cognitive involvement; therefore, the data cannot be extrapolated for other populations.
The task complexity is also a factor which influences P300 values, and César & Munhoz43 found longer latencies in less complicated tasks (such as “silent counting”) when compared to more complex tasks (such as “raise one's hand).
In general, the task adopted in the papers part of this review seem to be more complex, it is necessary to “press the button” whenever the individual would hear the rare stimulus, except for Bennys et al.24, who chose to “count silently”. Notwithstanding, a more careful reflection is suggested when dealing with P300 assessment for elderly with Alzheimer's disease and difficulty in understanding tasks. When the patient makes a silent counting, it is difficult to “follow” the exam and check whether the patient really has his/her attention towards counting the stimuli. Now, a more complex task, including a motor component, provides further support to the examiner, who can count on the visual analysis of the test performance, in order to check whether the Alzheimer's patients are able to keep their attention during the test.
Having all the variables described in this review, we stress the importance of knowing the population which is being assessed, i.e. the Alzheimer's patients, since this particular group has numerous cognitive impairments which must be taken into account in order to choose the most adequate experimental variables for this population.
The lack of studies on this topic results in some questionings, such as which would be the most adequate variables to use the P300 for elderly with Alzheimer's? Therefore, we believe that further studies are needed to support a standardization of the variables involved in the P300 assessment method for patients with Alzheimer's disease.
CONCLUSION
This systematic review showed that there is a consensus in relation to P300 latency increase in elderly with Alzheimer's disease when compared to those without it. Notwithstanding, we noticed that as far as the P300 amplitude is concerned, there is no consensus; however, this may be associated to the different variables adopted in the reviewed studies.
We also noticed that there is a need to standardize the variables involved in the P300 assessment method, so that it can be possible to compare the values obtained in each study. Regarding elderly with dementia, one must consider its limitations, disease signs and symptoms in order to choose the most adequate variables for the test. Moreover, it is suggested that studies should assess patients with AD separated by level of involvement, in other words, in mild to moderate stages of the disease, in order to better understand the relationship between information processing and Alzheimer's progression.
Footnotes
Paper submitted to the BJORL-SGP (Publishing Management System - Brazilian Journal of Otorhinolaryngology) on June 21, 2011; and accepted on February 21, 2012. cod. 8640.
REFERENCES
- 1.Goodin DS, Aminoff MJ. Evaluation of dementia by event-related potentials. J Clin Neurophysiol. 1992;9(4):521–525. doi: 10.1097/00004691-199210000-00006. [DOI] [PubMed] [Google Scholar]
- 2.Polich J, Ladish C, Bloom FE. P300 assessment of early Alzheimer's disease. Electroencephalogr Clin Neurophysiol. 1990;77(3):179–189. doi: 10.1016/0168-5597(90)90036-d. [DOI] [PubMed] [Google Scholar]
- 3.Frodl T, Hampel H, Juckel G, Bürger K, Padberg F, Engel RR, et al. Value of event-related P300 subcomponents in the clinical diagnosis of mild cognitive impairment and Alzheimer's disease. Psychophysiology. 2002;39(2):175–181. doi: 10.1017/S0048577202010260. [DOI] [PubMed] [Google Scholar]
- 4.Polich J, Corey-Bloom J. Alzheimer's disease and P300: review and evaluation of task and modality. Curr Alzheimer Res. 2005;2(5):515–525. doi: 10.2174/156720505774932214. [DOI] [PubMed] [Google Scholar]
- 5.Halgren E, Squires NK, Wilson CL, Rohrbaugh JW, Babb TL, Crandall PH. Endogenous potentials in the human hippocampal formation and amygdala by infrequent events. Science. 1980;210(4471):803–805. doi: 10.1126/science.7434000. [DOI] [PubMed] [Google Scholar]
- 6.Oken BS. In: Evoked potentials in clinical medicine. Chiappa KH., editor. Raven Press; New York: 1990. Endogenous event-related potentials; pp. 563–592. [Google Scholar]
- 7.Polich J. Updating P300: An integrative theory of P3a and P3b. Clin Neurophysiol. 2007;118(10):2128–2148. doi: 10.1016/j.clinph.2007.04.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Polich J. Normal variation of P300 from auditory stimuli. Electroencephalogr Clin Neurophysiol. 1986;65(3):236–240. doi: 10.1016/0168-5597(86)90059-6. [DOI] [PubMed] [Google Scholar]
- 9.Ball SS, Marsh JT, Schubarth G, Brown WS, Strandburg R. Longitudinal P300 latency changes in Alzheimer's disease. J Gerontol. 1989;44(6):M195–M200. doi: 10.1093/geronj/44.6.m195. [DOI] [PubMed] [Google Scholar]
- 10.Golob EJ, Starr A. Effects of stimulus sequence on event-related potentials and reaction time during target detection in Alzheimer's Disease. Clin Neurophysiol. 2000;111(8):1438–1449. doi: 10.1016/s1388-2457(00)00332-1. [DOI] [PubMed] [Google Scholar]
- 11.Patterson JV, Michalewski HJ, Starr A. Latency variability of the components of auditory event-related potentials to infrequent stimuli in aging, Alzheimer type dementia, and depression. Electroenceph Clin Neurophysiol. 1988;71(6):450–460. doi: 10.1016/0168-5597(88)90049-4. [DOI] [PubMed] [Google Scholar]
- 12.Donchin E, Coles MGH. Is the P300 component a manifestation of cognitive updating? Behav Brain Sci. 1988;11(3):357–427. [Google Scholar]
- 13.Gironell A, Garcia-Sanchez C, Estevez-Gonzalez A, Boltes A, Kulisevsky J. Usefulness of P300 in subjective memory complaints: a prospective study. J Clin Neurophysiol. 2005;22(4):279–284. doi: 10.1097/01.wnp.0000173559.60113.ab. [DOI] [PubMed] [Google Scholar]
- 14.Verleger R. Event-related potentials and cognition: a critique of the context updating hypothesis and an alternative interpretation of P3. Behav Brain Sci. 1988;11(3):343–356. [Google Scholar]
- 15.Frodl-Bauch T, Bottlender R, Hegerl U. Neurochemical substrates and neuroanatomical generators of the event-related P300. Neuropsychobiology. 1999;40(2):86–94. doi: 10.1159/000026603. [DOI] [PubMed] [Google Scholar]
- 16.Molnár M. On the origin of the P3 event-related potential component. Int J Psychophysiol. 1994;17(2):129–134. doi: 10.1016/0167-8760(94)90028-0. [DOI] [PubMed] [Google Scholar]
- 17.Smith ME, Halgren E, Sokolik M, Baudena P, Musolino A, Liegeois--Chauvel C, et al. The intracranial topography of the P3 event-related potential elicited during auditory oddball. Electroencephalogr Clin Neurophysiol. 1990;76(3):235–248. doi: 10.1016/0013-4694(90)90018-f. [DOI] [PubMed] [Google Scholar]
- 18.Ito J, Yamao S, Fukuda H, Fukuda H, Mimori Y, Nakamura S. The P300 event-related potentials in dementia of the Alzheimer type. Correlations between P300 and monoamine metabolites. Electroencephalogr Clin Neurophysiol. 1990;77(3):174–178. doi: 10.1016/0168-5597(90)90035-c. [DOI] [PubMed] [Google Scholar]
- 19.Maurer K, Dierks T. Functional imaging procedures in dementias: mapping of EEG and evoked potentials. Acta Neurol Scand Suppl. 1992;139:40–46. doi: 10.1111/j.1600-0404.1992.tb04453.x. [DOI] [PubMed] [Google Scholar]
- 20.Caravaglios G, Costanzo E, Palermo F, Muscoso EG. Decreased amplitude of auditory event-related delta responses in Alzheimers disease. Int J Psychophysiol. 2008;70(1):23–32. doi: 10.1016/j.ijpsycho.2008.04.004. [DOI] [PubMed] [Google Scholar]
- 21.O'Mahony D, Coffey J, Murphy J, OHare N, Hamilton D, Rowan M, et al. Event-related potential prolongation in Alzheimers disease signifies frontal lobe impairment: evidence from SPECT imaging. J Gerontol A Biol Sci Med Sci. 1996;51(3):102–107. doi: 10.1093/gerona/51a.3.m102. [DOI] [PubMed] [Google Scholar]
- 22.Lai CL, Lin RT, Liou LM, Liu CK. The role of event-related potentials in cognitive decline in Alzheimer's Disease. Clin Neurophysiol. 2010;121(2):194–199. doi: 10.1016/j.clinph.2009.11.001. [DOI] [PubMed] [Google Scholar]
- 23.Yamaguchi S, Tsuchiya H, Yamagata S, Toyoda G, Kobayashi S. Event-related brain potentials in response to novel sounds in dementia. Clin Neurophysiol. 2000;111(2):195–203. doi: 10.1016/s1388-2457(99)00228-x. [DOI] [PubMed] [Google Scholar]
- 24.Bennys K, Portet F, Touchon J, Rondouin G. Diagnostic value of event related evoked potentials N200 and P300 subcomponents in early diagnosis of Alzheimer's disease and mild cognitive impairment. J Clin Neurophysiol. 2007;24(5):405–412. doi: 10.1097/WNP.0b013e31815068d5. [DOI] [PubMed] [Google Scholar]
- 25.Polich J. Clinical application of the P300 event-related brain potential. Phys Med Rehabil Clin N Am. 2004;15(1):133–161. doi: 10.1016/s1047-9651(03)00109-8. [DOI] [PubMed] [Google Scholar]
- 26.Juckel G, Clotz F, Frodl T, Kawohl W, Hampel H, Pogarell O, et al. Diagnostic usefulness of cognitive auditory event-related P300 subcomponents in patients with Alzheimers disease? J Clin Neurophysiol. 2008;25(3):147–152. doi: 10.1097/WNP.0b013e3181727c95. [DOI] [PubMed] [Google Scholar]
- 27.McPherson DL. Late potentials of the auditory system. Singular Publishing Group; San Diego: 1996. [Google Scholar]
- 28.Folstein MF, Folstein SE, McHugh PR. “Mini-Mental State”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189–198. doi: 10.1016/0022-3956(75)90026-6. [DOI] [PubMed] [Google Scholar]
- 29.Nitrini R, Caramelli P, Bottino CMC, Damasceno BP, Brucki SMD, Anghinah R. Diagnóstico de doença de Alzheimer no Brasil: avaliaçã o cognitiva e funcional. Recomendaçõ es do Departamento Científico de Neurologia Cognitiva e do Envelhecimento da Academia Brasileira de Neurologia. Arq Neuropsiquiatr. 2005;63(3):720–727. doi: 10.1590/s0004-282x2005000400034. [DOI] [PubMed] [Google Scholar]
- 30.Freitas EV. Tratado de geriatria e gerontologia. Guanabara Koogan; Rio de Janeiro: 2006. [Google Scholar]
- 31.Nash AJ, Fernandez M. P300 and allocation of attention in dual-tasks. Int J Psychophysiol. 1996;23(3):171–180. doi: 10.1016/s0167-8760(96)00049-9. [DOI] [PubMed] [Google Scholar]
- 32.Fein G, Turetsky B. P300 latency variability in normal elderly: effects of paradigm and measurement technique. Electroencephalogr Clin Neurophysiol. 1989;72(5):384–394. doi: 10.1016/0013-4694(89)90044-8. [DOI] [PubMed] [Google Scholar]
- 33.Goodin DS, Squires KC, Starr A. Variations in early and late event-related components of the auditory evoked potential with task difficulty. Electroencephalogr Clin Neurophysiol. 1983;55(6):680–686. doi: 10.1016/0013-4694(83)90278-x. [DOI] [PubMed] [Google Scholar]
- 34.Polich J, Howard L, Starr A. Effects of age on the P300 component of the event-related potential from auditory stimuli: peak definition, variation, and measurement. J Gerontol. 1985;40(6):721–726. doi: 10.1093/geronj/40.6.721. [DOI] [PubMed] [Google Scholar]
- 35.Squires KC, Hecox KE. Electrophysiological evaluation of higher level auditory processing. Semin Hear. 1983;4:415–433. [Google Scholar]
- 36.Winkler I, Paavilainen P, Alho K, Reinikainen K, Sams M, Näätänen R. The effect of small variation of the frequent auditory stimulus on the event-related brain potential to the infrequent stimulus. Psychophysiology. 1990;27(2):228–235. doi: 10.1111/j.1469-8986.1990.tb00374.x. [DOI] [PubMed] [Google Scholar]
- 37.Sugg MJ, Polich J. P300 from auditory stimuli: intensity and frequency effects. Biol Psychol. 1995;41(3):255–269. doi: 10.1016/0301-0511(95)05136-8. [DOI] [PubMed] [Google Scholar]
- 38.Polich J. Habituation of P300 from auditory stimuli. Psychobiology. 1989;17(1):19–28. [Google Scholar]
- 39.Carrillo-de-la-Peña MT, García-Larrea L. On the validity of interblock averaging of P300 in clinical settings. Int J Psychophysiol. 1989;34(2):103–112. doi: 10.1016/s0167-8760(99)00066-5. [DOI] [PubMed] [Google Scholar]
- 40.Spirduso W. Dimensões Física do Envelhecimento. Manole; São Paulo: 2005. [Google Scholar]
- 41.Papanicolau AC, Loring DW, Raz N, Eisenberg HM. Relationship between stimulus intensity and the P300. Psychophysiology. 1985;22(3):326–329. doi: 10.1111/j.1469-8986.1985.tb01608.x. [DOI] [PubMed] [Google Scholar]
- 42.Duarte JL, Alvarenga KF, Costa OA. Potencial cognitivo P300 realizado em campo livre: aplicabilidade do teste. Rev Bras Otorrinolaringol. 2004;70(6):780–785. [Google Scholar]
- 43.Cesar HAR, Munhoz MSL. O P300 auditivo em jovens e adultos saudáveis com uma nova proposta de resposta: levantar a mão. Acta Awho. 1999;18(1):32–37. [Google Scholar]