Skip to main content

Event-related potential studies of post-traumatic stress disorder: a critical review and synthesis


Despite the sparseness of the currently available data, there is accumulating evidence of information processing impairment in post-traumatic stress disorder (PTSD). Studies of event-related potentials (ERPs) are the main tool in real time examination of information processing. In this paper, we sought to critically review the ERP evidence of information processing abnormalities in patients with PTSD. We also examined the evidence supporting the existence of a relationship between ERP abnormalities and symptom profiles or severity in PTSD patients. An extensive Medline search was performed. Keywords included PTSD or post-traumatic stress disorder, electrophysiology or EEG, electrophysiology, P50, P100, N100, P2, P200, P3, P300, sensory gating, CNV (contingent negative variation) and MMN (mismatch negativity). We limited the review to ERP adult human studies with control groups which were reported in the English language. After applying our inclusion-exclusion review criteria, 36 studies were included. Subjects exposed to wide ranges of military and civilian traumas were studied in these reports. Presented stimuli were both auditory and visual. The most widely studied components included P300, P50 gating, N100 and P200. Most of the studies reported increased P300 response to trauma-related stimuli in PTSD patients. A smaller group of studies reported dampening of responses or no change in responses to trauma-related and/or unrelated stimuli. P50 studies were strongly suggestive of impaired gating in patients with PTSD. In conclusion, the majority of reports support evidence of information processing abnormalities in patients with PTSD diagnosis. The predominance of evidence suggests presence of mid-latency and late ERP components differences in PTSD patients in comparison to healthy controls. Heterogeneity of assessment methods used contributes to difficulties in reaching firm conclusions regarding the nature of these differences. We suggest that future ERP-PTSD studies utilize standardized assessment scales that provide detailed information regarding the symptom clusters and the degree of symptom severity. This would allow assessment of electrophysiological indices-clinical symptoms relationships. Based on the available data, we suggest that ERP abnormalities in PTSD are possibly affected by the level of illness severity. If supported by future research, ERP studies may be used for both initial assessment and treatment follow-up.


Although post-traumatic stress disorder (PTSD) is classified as an 'anxiety disorder', evidence of cognitive and information processing (IP) abnormalities in PTSD has been accumulating [1]. While many studies on emotional processing abnormalities in PTSD exist, event-related potentials (ERPs) studies focusing on early stages of IP abnormalities in PTSD are limited in number. The aim of this review was to summarize ERP findings in PTSD and determine whether there are consistent patterns of IP deviations reported in this disorder. We also sought to gain possible insight into clinical correlates of these differences. Another aim of this review was to assess if we could present suggestions for future research methods.

Event-related brain potentials and components

Brain ERPs are the main tools available for clinical investigators to probe IP in real time, as they can assess different phases of IP in the human brain [2]. Abnormality of the initial phase of IP (the 0 to 20 ms following auditory or visual stimulation), where information is conducted through subcortical structures on its way to the cerebral cortex, is usually linked to brain stem abnormalities [3]. Abnormalities at this stage of IP are rarely reported in psychiatric patients [4]. Due to the extremely small number of ERP studies examining this stage of IP in association with PTSD, this IP stage is not further discussed in this report.

The midlatency range of information processing (following the early stage and spanning 20 to 200 ms following stimulation), when signal registration and filtering out (gating) of redundant information takes place [5], has been shown to be abnormal in a large number of psychiatric and neuropsychiatric conditions [6]. Auditory midlatency range is represented by three major event-related response components: the P50 (40 to 80 ms), N100 (75 to 150 ms) and the P200 (150 to 250 ms) [7]. Two variables are routinely examined in association with all ERPs: amplitude (how large the response is) and latency (how long after the stimulus the response is maximally seen). Amplitudes and latencies are examined using trains of identical stimuli and averaging the resulting responses [8]. Midlatency ERP responses are also widely used to examine habituation (or sensory gating) in the brain [9]. A standard paired-stimulus paradigm (S1-S2) is used for the purpose of examining habituation or gating of the P50/N100/P200 components with stimulus repetition. Habituation or gating is routinely assessed as the ratio of the responses to S2 stimuli as compared to responses to S1 stimuli (S2/S1 × 100). Higher ratios reflect decreased gating ability [10]. All three midlatency auditory event-related response (MLAER) components are demonstrated to have decreased gating in association with psychosis [5].

The later stage of IP is when higher cognitive manipulations occur [11]. The P300 ERP component is a large positive electroencephalography (EEG) deflection elicited approximately 300 ms after an individual detects a deviant stimulus imbedded among ongoing repeating stimuli [11]. The amplitude of the P300 has been linked to the amount of attentional resources allocated to the experimental task. P300 latency has been linked to the speed of IP. P500 is a positive deflection which appears between 300 and 900 ms after stimulus presentation and is believed to be involved in updating working memory representations of a specified stimulus [12]. Abnormalities of these ERP, especially the P300 (250 to 350 ms), are common in psychiatric populations.


A detailed Medline search was performed. Keywords included PTSD or post-traumatic stress disorder and EEG, electrophysiology, P50, P100, N100, P2, P200, P3, P300, sensory gating, CNV (contingent negative variation), and MMN (mismatch negativity). The search was limited to human studies reported in the English language. Because of the very small number of electrophysiological studies in children with mental illnesses in general, three of the manuscripts which reported children studies were not included in this review. Papers which were solely EEG or sleep studies in PTSD without inclusion of ERPs were also not included. We considered only studies which included a healthy control group, enabling extraction of the differences between ERP responses in patients with PTSD and those of healthy participants. We then reviewed full texts of the selected manuscripts and summarized ERP responses from these studies in separate tables (Tables 1, 2, 3 and 4). We also extracted reported clinical correlates of the ERP results and summarized them in Table 5. This table shows the rating scales which were used in each study and the correlation of the scores of these tests with the ERP data.

Table 1 Studies examining the P50 and sensory gating
Table 2 Summary of the studies which included N100 component
Table 3 Summary of the studies which included P200 component
Table 4 Summary of the studies which included P300 component
Table 5 Summary of studies with clinical correlates


Initial search yielded 57 papers of which 16 were solely EEG studies, another did not include a healthy control group, and three were children or adolescents studies, which were excluded from the current work. We excluded studies in children because of the small number of reports and a lack of homogeneity in ERP procedures used. Only a single study assessed CNV differences in PTSD patients [13] and thus it was not included in this review. After exclusion of these papers, 36 manuscripts had undergone comprehensive review. All of the presented data regarding the populations, their clinical characteristics (such as rating scales and scores when provided), and the utilized event-related response measures were collected from these 36 reports. Given the fact that most of the studies did not report possible comorbidities and medication regimens, these factors are not assessed or discussed in this review.

Of the 36 studies, 15 included veterans and/or military personnel with combat/war trauma and 17 included subjects exposed to civilian traumas such as motor vehicle accidents, rape and assault. Subjects of four studies were exposed to traumas of mixed etiology. All of the considered studies included healthy control subjects and most of them (especially combat related studies) included a third group of people who were exposed to trauma but did not develop PTSD based on the Diagnostic and Statistical Manual of Mental Disorders (DSM) III or IV diagnostic criteria.

A number of rating scales were used to assess PTSD symptomatology and comorbidities (Table 5). The most widely used scale was the Clinician-Administered PTSD Scale (CAPS), utilized in 10 of the 14 studies that evaluated clinical correlates. The CAPS is a well validated 'gold standard' 30-item structured interview that corresponds to the DSM-IV criteria for PTSD [14, 15]. CAPS subscores include re-experience (intrusiveness), avoidance and arousal. Other assessment instruments included the Mississippi scale for PTSD [16] (one study), a PTSD questionnaire [17] (one study), State-Trait Anxiety Inventory (STAI) [18] (three studies), brief symptom inventory [19, 20] (one study), Beck depression inventory [21] (two studies), Impact of Events Scale-Revised [22] (IES-R) (four studies), PTSD Check List-Military (PCL-M) [23] (one study), and Profile of Mood States (POMS) [24] (one study).

Standard tone sounds were used for the auditory oddball and gating studies. For the visual event-related potential paradigms, mostly three sets of images were presented to the subjects. These included neutral images such as nature scenes, trauma-specific aversive images and non-trauma-specific aversive pictures. Auditory stimuli were used in 22 studies, 13 used visual stimuli, and one study included both auditory and visual stimuli in their paradigms.

Most of the studies focused on the ERP component P300 (26 studies). P50, N100 and P200 components were also assessed by a fair number of studies (9 studies P50; 13 studies N100; and 10 studies P200). P100 (visual), N200 and the MMN were the least studied ERP components. Many studies probed more than one ERP component; this explains why the sum of the number of entries in tables 1, 2, 3 and 4 is larger than the total number of papers reviewed. The ERP components that were considered by at least four studies are summarized in the tables.

We first grouped all the studies together for each ERP component and counted the number of studies which reported differences in the amplitudes in each direction. We then separated studies in auditory/visual modalities and amplitudes reported in response to the trauma related (TR) and trauma nonrelated (TNR) stimuli when applicable.

P50 amplitude and gating (Table 1)

Nine papers examined the P50 auditory event-related response. Two papers only examined the amplitude and latencies of the P50 components (in other words, not using paired stimuli) of which one showed an exaggerated response to the tone and one did not [25]. Seven papers utilized the standard paired-stimulus paradigm to examine sensory gating. Six papers examining habituation showed significantly elevated gating ratios (in other words, the decreased ability to inhibit or suppress repeating (redundant) incoming sensory input) in PTSD patients as compared to controls. One study found impaired P50 gating only in the right hemisphere in PTSD patients as compared to the control group [26]. In regards to S1, four of the seven papers did not reveal a difference in the amplitude of response to S1 while one found a reduced response to S1 paired with an exaggerated response to S2 in PTSD subject [27]. Hunter and colleague's study [26] found reduced S1 strength only in the right hemisphere of patients with PTSD. To summarize, a small number of studies evaluated the P50 component in PTSD and among these, the majority reported impaired gating of the repetitive stimuli.

N100 (Table 2)

Thirteen studies assessed the N100 midlatency auditory event-related response. Six studies reported increased N100 amplitude in subjects with PTSD, two reported a reduction in N100 amplitude in this population, and four did not find a difference. One study did not report the N100 amplitudes. Of the nine studies reporting latencies, four found increased N100 latencies in PTSD patients and five did not find a difference in latency between the PTSD subjects and healthy controls. From seven auditory oddball studies, one did not report the amplitudes, four reported no differences, and two reported increased amplitude in the N100 component in the PTSD patients. Two studies presented emotional faces in the visual modality, one of which reported increased amplitude and the other reported reduced amplitude to sad faces. In summary, N100 ERP component findings are overall inconsistent in existing PTSD studies.

P200 (Table 3)

Ten studies examined the P200 MLAER component. Three studies found decreased P200 amplitude in PTSD patients [25, 28, 29]. In two studies, a linear relationship was found between the tone intensity and P200 amplitude in the control group, which was not detected in combat PTSD patients [30, 31]. In other words, in contrast to the control subjects, PTSD patients failed to show increased P200 amplitude in response to increased tone intensity. In contrast, Metzger and colleagues reported increased P200 amplitude and intensity slope in PTSD patients [32, 33]. In one of these studies, the slope was correlated with re-experience symptoms cluster but not the other symptom cluster scores. Yun and colleagues [34] found increased P2 amplitude in response to subliminal visual presentation of TR stimuli in PTSD patients. Two studies failed to detect a difference between the PTSD patients and healthy controls in P200 amplitudes or latencies [35, 36]. Wessa and colleagues [29] reported reduced P200 amplitude with lack of differentiation between the TR and TNR visual stimuli in the PTSD patients.

To sum, from ten studies that compared P200 amplitudes between PTSD patients and controls, one reported increased amplitude in PTSD patients (in response to subliminal presentation of the stimuli), three reported reduced amplitude and two reported increased amplitude/slope intensity. Two studies failed to show increased P200 amplitude in response to increased intensity in PTSD patients, and two did not detect any difference between the PTSD and control groups. Given the close proximity of the N100 and P200 components, we examined the difference in the amplitudes of these two components in PTSD studies. Among 13 studies reporting N100 amplitudes, six reported an increase while none of the five P200 studies which reported the amplitude of this component found increased amplitudes. Utilizing Fisher's exact test of 2 × 2 contingency tables, a trend towards difference in the behavior of the two components was detected (P (2-tails) = 0.102, power (2-tails) = 0.503) [37].

P300 (Table 4)

Most of the studies examining event-related responses in PTSD populations (26 studies) assessed P300 component in either an auditory or a visual oddball design.

Auditory studies

Seventeen studies assessed the P300 component in an auditory modality, 15 of which were standard oddballs. One of these 15 studies did not report the P300 amplitude [38]. Eleven studies reported reduced response amplitude to the target stimuli, one reported increased amplitude, and two failed to detect any difference between the PTSD and the control subjects. One of these studies [39] reported reduced amplitude to non-word stimuli (reversed waveforms of the digitized words) and increased amplitude to positive words in PTSD patients. Although Metzger and colleagues [33] did not find a difference in P300 amplitude, when they evaluated a subgroup of nonmedicated, nonsmoker subjects, again they reported decreased P300 amplitude in PTSD subjects. Wessa and colleagues [40] showed increased response amplitude to TR questions.

Visual studies

Eight studies reported P300 responses to TR versus aversive TNR or neutral stimuli. One study [34] reported an increased P300 response to the subliminal presentation of the TR stimuli in PTSD patients. Due to different methodology, this study is not included in the following analysis. Five studies reported increased amplitude to the TR stimuli in PTSD patients compared to the controls and one study reported increased response to all stimuli in PTSD patients. Although Metzger and colleagues [41] reported smaller P300 amplitude to all the stimuli in the PTSD patients, they found a smaller response to the neutral words as compared to the positive and negative words. Ehlers and colleagues [42] reported reduced amplitude to neutral faces in the PTSD patients and Veltmeyer and colleagues [1] in an N-back working memory task found reduced P300 amplitude in the PTSD group.

We also reviewed P300 responses to TR/aversive stimuli and neutral stimuli separately irrespective of the modality of stimulus presentation (auditory or visual). From the 17 reports on the P300 amplitudes in response to the visual or auditory TNR/neutral stimuli, 13 studies reported reduced amplitude in PTSD patients, two reported increased amplitude, and two studies failed to detect any difference between the PTSD subjects and the control group.

Eight studies reported P300 responses to TR/aversive stimuli. Seven studies found increased P300 amplitude in the PTSD patients and one study reported reduced response in the PTSD patients as compared to the control group [43]. In this last study, within group comparison showed a smaller response to the neutral words as compared to the positive and negative words in PTSD patients. On aggregate (studies pooled across visual or auditory modalities), seven out of eight studies reporting P300 responses to TR reported increased amplitudes while only two of sixteen studies examining responses to TNR stimuli reported increased P300 amplitudes (Fisher's exact test of 2 × 2 contingency tables, P (2-tailed) < 0.001, power (2-tailed) = 0.986). Conversely, while 13 of 17 papers reported decreased P300 amplitudes to TNR stimuli, only one of eight papers reported decreased amplitudes to TR stimuli (Fisher's exact test of 2 × 2 contingency tables P (2-tailed) < 0.008, power (2-tailed) = 0.889).

In summary, the majority of studies on P300 component reported sensitization of the P300 response to TR stimuli and dampening of this response to the neutral stimuli.

Other event-related responses

A host of studies examined other event-related responses including visual P100, N200 (a negativity generated with stimulus deviation), MMN (also a negativity detected with stimulus deviation) and the late positive auditory complexes. Wessa et al. [29] reported a later positivity (P550) and skin conductance to be negatively correlated with the severity of avoidance symptoms. None of these smaller bodies of literature included more than three published, full length papers and none has shown a consistent pattern. We concluded that these smaller bodies of literature were not yet at a stage that would significantly contribute to our understanding of PTSD and did not include them in this analysis.

Of all the studies reviewed, 14 examined the correlations between the assessed ERP measures and PTSD symptomatology. While 17 significant correlations were reported (see Table 5), a large number of trend level or non-significant correlations are also reported. Due to different methods and clinical rating scales used among the studies, we could not make a conclusion about the clinical correlates of the reported ERP components.


In this manuscript, we reviewed reports that assessed ERP components in subjects with PTSD and healthy subjects. The early stage of IP was not examined due to a paucity of studies. Most of the studies presented evidence for a difference in IP between patients with PTSD and control patients during the entire midlatency range and extending into the later stages of IP.

The earlier part of the midlatency range is almost entirely pre-attentive and reflects the automatic processes of stimulus registration (reflected by response amplitudes) and filtering processes (reflected by sensory gating measures). Processes occurring at this stage are likely substantially bottom-up in nature and might be clinically correlated with 'intrusiveness' and 'hyperarousal', as these symptoms are likely to be automatic and, to a degree, pre-attentive. On the other hand, the attentive top-down level of IP is usually probed by examining the later occurring ERPs like the P300 or P550. This level of information processing could be clinically related with volitional 'avoidance' symptoms.

Results of reviewed P50 gating studies show some evidence of impaired pre-attentive habituation in PTSD patients. Whether gating deficit results from exposure to stress or represents a pre-existing vulnerability to developing PTSD can only be determined through the conduct of careful longitudinal studies. Current literature shows that decreased gating is not uncommon in seemingly healthy individuals [44, 45]. On the other hand, studies also show that laboratory-induced stress (which, by definition, cannot be severe or chronic) can decrease gating in healthy individuals with normal baseline gating [46]. It is thus quite plausible to postulate that severe or chronic stress can be detrimental to the sensory gating function and possibly individuals with premorbid deficient sensory gating function are more susceptible to developing PTSD when subjected to this form of stress.

The noted possibility that the N100 and P200 components may be affected differently in association with PTSD is worthy of further investigation as the P200 along with the N100 form the vertex complex and are considered closely related. While experimentally dissociable, the two components share similar neural sources and topographical distributions [47]. A significant variance in the effects of stimulation on these two components would indeed be an interesting finding worthy of further exploration, as it could yield clues to the nature and timing of IP difficulties in this patient population. In fact, despite the small number of studies, a trend suggesting that the two components behave differently in association with PTSD is seen.

The most widely examined ERP component is the P300, which reflects task allocation of cognitive resources [3]. In a first glance at the reports that evaluated the P300 component, it is difficult to draw a conclusion as the results are contradictory. When divided into two groups of studies with presentation of visual and auditory stimuli, a higher number of auditory studies show reduced P300 amplitude while a larger number of visual studies show increased P300 amplitude in the PTSD patients. This could be due to the fact that most of the auditory studies are standard oddballs with presentation of neutral stimuli while a larger number of studies in the visual modality presented TR/aversive images as non-target stimuli. In other words, when results are examined in terms of relevance of the stimuli to the trauma, they appear to be more meaningful. Among 18 studies that reported P300 amplitude in response to the TNR/neutral stimuli in auditory/visual modalities, the majority - 13 studies - showed reduced amplitude while only two of the studies showed increased amplitude. Furthermore, among the eight studies which evaluated P300 responses to the TR/aversive stimuli, seven studies found increased P300 amplitude in patients with PTSD when compared to the control group. Of interest, the one study which showed reduced P300 amplitude in PTSD patients, in within group comparison, showed a smaller response to the neutral words as compared to the positive and negative words in PTSD patients. These findings suggest the existence of two possible P300-related abnormalities: a significant decrease in responses to TNR stimuli and a significant increase in TR stimuli. Whether these two abnormalities occur simultaneously or sequentially and whether these two abnormalities reflect different aspects of the PTSD syndrome are currently open questions. Based on the above, there might be an increased attentional resource allocation in subjects with PTSD to the cues of trauma at the expense of the neutral stimuli. In other words, subjects with PTSD show sensitization and impaired habituation to the stimuli which represent the traumatic stimuli. Considering the limited attentional resources (which might be even more limited in patients with PTSD due to causes such as traumatic brain injury), this shift in allocation of these resources (sensitization) takes place at the expense of reduced response to and processing of neutral stimuli. In a clinical language, this attentional phenomenon may be translated into hyperarousal to any reminder of the traumatic event at expense of the neutral and nonaversive stimuli. In a further speculative step, this sensitization to the TR cues/stimuli, may be extended to the top-down filtering of the TR memories and assumed to be responsible for impaired inhibition of internal TR stimuli/memories which present in the form of re-experiences, intrusive memories and flash backs.

Whether ERP findings in individuals with PTSD are the result of trauma, or are present in patients who are more susceptible to PTSD when subjected to a traumatic experience remains an open question. Hypersensitivity to aversive stimuli and lack of habituation to them could be a premorbid difference in people who are more susceptible to developing PTSD after a traumatic experience. This possibility becomes more important in light of the fact that most ERP components are heavily genetically influenced [48]. Whether the ERP findings are characteristic of people susceptible to PTSD or are results of the trauma needs to be further assessed in longitudinal cohort studies (for example, pre- and postdeployment studies in veterans). Twin studies may be utilized in assessing whether the different findings in subjects are inborn genetic characteristics or a result of traumatic experience. This review found only two twin studies, both of which reported differences in P200 and P300 components between the PTSD subjects and their non-PTSD identical twin [49, 33]. Although these results suggest that the information processing differences are acquired, more studies are needed to support these findings.

Tables 1, 2, 3 and 4 show that, although the amplitudes of the ERP components are examined in most of the reviewed studies, literature is very sparse in terms of the latency of these components. A negative correlation between the latency of the P300 and severity of avoidance has been found [50], in other words, the stronger the avoidance, the shorter the P300 latency. As latency of a component reflects the number of synaptic links leading to the development of the response [3], this observation might suggest that an altered process might be engaged in some patients with PTSD. Furthermore, the same study presents a positive correlation between latency and severity of the intrusiveness symptoms. Increased latency might thus suggest altered IP pathways in PTSD and support the need for close examination of latencies in ERP-PTSD studies. Differences in the direction of correlation between avoidance and latency, and intrusiveness and latency in the same patient population may point at different pathways being involved in the formation of different symptom clusters in PTSD. While highly speculative (based on a single report) these findings are of significant interest and deserve further exploration.

Given the large number of ERP variables examined as well as the large number of PTSD symptoms (and the varied PTSD assessment methods) no clear trends can be discerned (Table 5). If ERP components indeed reflect specific symptom type or severity, this can potentially be useful in both diagnostic evaluation and treatment monitoring. However, in those studies in which clinical correlations were assessed, comparable rating scales were not utilized. As a result, for the purpose of future ERP-PTSD studies, scales providing detailed accounts of symptom severity would be most suitable to examine any clinical-electrophysiological correlations. More importantly, it will be vital to analyze and include symptom-cluster information in the reports given the current debate over the make-up of symptom composition of the PTSD clusters. Whether ERP methodologies and measures can be used to guide the development of new or revised, empirically-based symptom clusters might also be a fruitful consideration in future studies.


In summary, our review points to a potential relationship between ERP measures and PTSD. The most consistent findings include diminished habituation to repetitive stimuli as evidenced by reduced P50 gating, and sensitization of the P300 response to TR stimuli. The P300 response to neutral stimuli, on the other hand, is diminished in PTSD patients, suggesting a potential 'trade off' between processing traumatic versus neutral stimuli. These differences in IP are consistent with the findings in emotional processing studies in PTSD, which reveal increased emotional response to the cues of trauma. Corresponding differences in IP and emotion responses can help in a more comprehensive understanding of PTSD. Although emotion regulation and processing is more extensively addressed in research, early cognitive processing of the information needs further exploration for a better understanding of the whole picture. The findings of this review may also translate to better understanding of the mechanisms involved in clinical symptoms development. Results on the N100 and P200 components are not as conclusive and other components are not addressed in the majority of the studies.

The inconsistency in the results of different studies can stem from differences in methodologies and patient populations or differences in illness-related variables. Other contributing factors can be physiological or external factors such as patients' personality traits, pre-existing factors (such as comorbid illnesses, presence of alcohol or drugs and tiredness) or contributing conditions (availability or lack of support, use of medications such as morphine, beta blockers, and benzodiazepines) prior to or immediately after the traumatic experience. Unfortunately, many of the reviewed literature failed to assess or report comorbid illnesses or medication regimens. Prospective investigations with more uniform methodologies, unified patient populations, and pre- and post-trauma approaches are necessary to further explore such relationships.


  1. 1.

    Veltmeyer MD, Clark CR, McFarlane AC, Moores KA, Bryant RA, Gordon E: Working memory function in post-traumatic stress disorder: an event-related potential study. Clin Neurophysiol. 2009, 120 (6): 1096-1106. 10.1016/j.clinph.2009.03.024.

    PubMed  Google Scholar 

  2. 2.

    Lijffijt M, Lane SD, Meier SL, Boutros NN, Burroughs S, Steinberg JL, Gerard Moeller F, Swann AC: P50, N100, and P200 sensory gating: relationships with behavioral inhibition, attention, and working memory. Psychophysiology. 2009, 46 (5): 1059-68. 10.1111/j.1469-8986.2009.00845.x.

    PubMed Central  PubMed  Google Scholar 

  3. 3.

    Misulis KE, Head TC: Brainstem Auditory Evoked Potentials. Essentials of Clinical Neurophysiology. Edited by: Misulis KE, Head TC. 2003, Burlington, MA: Butterworth-Heinemann, 211-220. 3

    Google Scholar 

  4. 4.

    Boutros NN, Iacono WG, Galderisi S: Applied Electrophysiology. Kaplan and Sadock's Comprehensive Textbook of Psychiatry. Edited by: Kaplan BJ, Sadock VA, Ruiz P. 2009, Philadelphia: Lippincott Williams & Wilkins, 211-248. Ninth

    Google Scholar 

  5. 5.

    Boutros NN, Korzyukov O, Jansen B, Feingold A, Bell M: Sensory-gating deficits during the mid-latency phase of information processing in medicated schizophrenia patients. Psychiatry Research. 2004, 126: 203-215. 10.1016/j.psychres.2004.01.007.

    PubMed  Google Scholar 

  6. 6.

    Cromwell HC, Mears RP, Wan L, Boutros NN: Sensory gating: a translational effort from basic to clinical science. Clin EEG Neurosci. 2008, 39 (2): 69-72. 10.1177/155005940803900209.

    PubMed Central  PubMed  Google Scholar 

  7. 7.

    Buchsbaum MS: The middle evoked response components and schizophrenia. Schizophr Bull. 1977, 3: 93-104. 10.1093/schbul/3.1.93.

    CAS  PubMed  Google Scholar 

  8. 8.

    Regan D: Human Brain Electrophysiology. 1989, New York: Elsevier

    Google Scholar 

  9. 9.

    Adler LE, Pachtman E, Franks RD, Pecevich M, Waldo MC, Freedman R: Neurophysiological evidence for a defect in neuronal mechanisms involved in sensory gating in schizophrenia. Biol Psychiatry. 1982, 17: 639-654.

    CAS  PubMed  Google Scholar 

  10. 10.

    Nagamoto HT, Adler LE, Waldo MC, Freedman R: Sensory gating in schizophrenia and healthy control: effects of changing stimulus interval. Biol Psychiatry. 1989, 25: 549-561. 10.1016/0006-3223(89)90215-1.

    CAS  PubMed  Google Scholar 

  11. 11.

    Polich J, Kok A: Cognitive and biological determinants of P300: an integrative review. Biological Psychology. 1995, 41: 103-146. 10.1016/0301-0511(95)05130-9.

    CAS  PubMed  Google Scholar 

  12. 12.

    Weber DL, Clark CR, McFarlane AC, Moores KA, Morris P, Egan GF: Abnormal frontal and parietal activity during working memory updating in post-traumatic stress disorder. Psychiatry Res. 2005, 140 (1): 27-44. 10.1016/j.pscychresns.2005.07.003.

    PubMed  Google Scholar 

  13. 13.

    Kimble M, Ruddy K, Deldin P, Kaufman M: A CNV-distraction paradigm in combat veterans with posttraumatic stress disorder. J Neuropsychiatry Clin Neurosci. 2004, 16 (1): 102-108. 10.1176/appi.neuropsych.16.1.102.

    PubMed  Google Scholar 

  14. 14.

    Blake DD, Weathers FW, Nagy LM, Kaloupek DG, Gusman FD, Charney DS, Keane TM: The development of a clinician-administered PTSD scale. J Trauma Stress. 1995, 8: 75-90. 10.1002/jts.2490080106.

    CAS  PubMed  Google Scholar 

  15. 15.

    Weathers FW, Keane TM, Davidson JR: Clinician-Administered PTSD Scale: A review of the first ten years of research. Depress Anxiety. 2001, 13 (3): 132-156. 10.1002/da.1029.

    CAS  PubMed  Google Scholar 

  16. 16.

    Keane TM, Caddell JM, Taylor KL: Mississippi Scale for Combat-Related Posttraumatic Stress Disorder: three studies in reliability and validity. J Consult Clin Psychol. 1988, 56: 85-90.

    CAS  PubMed  Google Scholar 

  17. 17.

    Attias J, Bleich A, Furman V, Zinger Y: Event-related potentials in disorder of combat origin. Biol Psychiatry. 1996, 40 (5): 373-381. 10.1016/0006-3223(95)00419-X.

    CAS  PubMed  Google Scholar 

  18. 18.

    Spielberger CD: State-trait Anxiety Inventory: a comprehensive bibliography. 1984, Palo Alto, CA: Consultant Psychologists Press

    Google Scholar 

  19. 19.

    Derogatis LR, Melisaratos N: The Brief Symptom Inventory: an introductory report. Psychol Med. 1983, 13: 595-605. 10.1017/S0033291700048017.

    CAS  PubMed  Google Scholar 

  20. 20.

    Geisheim C, Hahlweg K, Fiegenbaum W, Frank M, Schroeder B, von-Witzleben I: German version of the Brief Symptom Inventory (BSI) as a tool for quality assurance in psychotherapy. Diagnostica. 2002, 48: 28-36. 10.1026//0012-1924.48.1.28.

    Google Scholar 

  21. 21.

    Beck AT, Steer RA: Manual for the Beck Depression Inventory. 1993, San Antonio, TX: Psychological Corporation

    Google Scholar 

  22. 22.

    Weiss DS, Marmar CR: The Impact of Event Scale - Revised. Assessing psychological trauma and PTSD. Edited by: Wilson J, Keane TM. 1996, New York: Guilford, 399-411.

    Google Scholar 

  23. 23.

    Weathers F, Litz B, Herman D, Huska J, Keane T: The PTSD Checklist (PCL): Reliability, Validity, and Diagnostic Utility. Paper presented at the Annual Convention of the International Society for Traumatic Stress Studies. 1993, San Antonio, TX

    Google Scholar 

  24. 24.

    Pollock V, Cho DW, Reker D, Volavka J: Profile of mood states: the factors and their physiological correlates. J Nerv Ment Dis. 1979, 167 (10): 612-614. 10.1097/00005053-197910000-00004.

    CAS  PubMed  Google Scholar 

  25. 25.

    Morgan CA, Grillon C: Abnormal mismatch negativity in women with sexual assault-related posttraumatic stress disorder. Biol Psychiatry. 1999, 45 (7): 827-832. 10.1016/S0006-3223(98)00194-2.

    PubMed  Google Scholar 

  26. 26.

    Hunter M, Villarreal G, McHaffie GR, Jimenez B, Smith AK, Calais LA, Hanlon F, Thoma RJ, Cañive JM: Lateralized abnormalities in auditory M50 sensory gating and cortical thickness of the superior temporal gyrus in post-traumatic stress disorder: preliminary results. Psychiatry Res. 2011, 191 (2): 138-144. 10.1016/j.pscychresns.2010.09.012.

    PubMed Central  PubMed  Google Scholar 

  27. 27.

    Ghisolfi ES, Margis R, Becker J, Zanardo AP, Strimitzer IM, Lara DR: Impaired P50 sensory gating in post-traumatic stress disorder secondary to urban violence. Int J Psychophysiol. 2004, 51 (3): 209-214. 10.1016/j.ijpsycho.2003.09.002.

    PubMed  Google Scholar 

  28. 28.

    Felmingham KL, Bryant RA, Kendall C, Gordon E: Event-related potential dysfunction in posttraumatic stress disorder: the role of numbing. Psychiatry Res. 2002, 109 (2): 171-179. 10.1016/S0165-1781(02)00003-3.

    PubMed  Google Scholar 

  29. 29.

    Wessa M, Karl A, Flor H: Central and peripheral psychophysiological responses to trauma-related cues in subclinical posttraumatic stress disorder: a pilot study. Exp Brain Res. 2005, 167 (1): 56-65. 10.1007/s00221-005-0007-0.

    PubMed  Google Scholar 

  30. 30.

    Lewine JD, Thoma RJ, Provencal SL, Edgar C, Miller GA, Canive JM: Abnormal stimulus-response intensity functions in posttraumatic stress disorder: an electrophysiological investigation. Am J Psychiatry. 2002, 159 (10): 1689-1695. 10.1176/appi.ajp.159.10.1689.

    PubMed  Google Scholar 

  31. 31.

    Paige SR, Reid GM, Allen MG, Newton JE: Psychophysiological correlates of posttraumatic stress disorder in Vietnam veterans. Biol Psychiatry. 1990, 27 (4): 419-430. 10.1016/0006-3223(90)90552-D.

    CAS  PubMed  Google Scholar 

  32. 32.

    Metzger LJ, Carson MA, Paulus LA, Lasko NB, Paige SR, Pitman RK, Orr SP: Event-related potentials to auditory stimuli in female Vietnam nurse veterans with posttraumatic stress disorder. Psychophysiology. 2002, 39 (1): 49-63. 10.1111/1469-8986.3910049.

    PubMed  Google Scholar 

  33. 33.

    Metzger LJ, Pitman RK, Miller GA, Paige SR, Orr SP: Intensity dependence of auditory P2 in monozygotic twins discordant for Vietnam combat: associations with posttraumatic stress disorder. J Rehabil Res Dev. 2008, 45 (3): 437-449. 10.1682/JRRD.2007.07.0100.

    PubMed Central  PubMed  Google Scholar 

  34. 34.

    Yun X, Li W, Qiu J, Jou J, Wei D, Tu S, Zhang Q: Neural mechanisms of subliminal priming for traumatic episodic memory: An ERP study. Neurosci Lett. 2011, 498 (1): 10-14. 10.1016/j.neulet.2011.04.040.

    CAS  PubMed  Google Scholar 

  35. 35.

    Lamprecht F, Köhnke C, Lempa W, Sack M, Matzke M, Münte TF: Event-related potentials and EMDR treatment of post-traumatic stress disorder. Neurosci Res. 2004, 49 (2): 267-272. 10.1016/j.neures.2004.02.013.

    PubMed  Google Scholar 

  36. 36.

    Menning H, Renz A, Seifert J, Maercker A: Reduced mismatch negativity in posttraumatic stress disorder: a compensatory mechanism for chronic hyperarousal?. Int J Psychophysiol. 2008, 68 (1): 27-34. 10.1016/j.ijpsycho.2007.12.003.

    PubMed  Google Scholar 

  37. 37.

    Cardillo G: MyFisher22. []

  38. 38.

    Felmingham KL, Bryant RA, Gordon E: Processing angry and neutral faces in post-traumatic stress disorder: an event-related potentials study. Neuroreport. 2003, 14 (5): 777-780. 10.1097/00001756-200304150-00024.

    PubMed  Google Scholar 

  39. 39.

    Blomhoff S, Reinvang I, Malt UF: Event-related potentials to stimuli with emotional impact in posttraumatic stress patients. Biol Psychiatry. 1998, 44 (10): 1045-1053. 10.1016/S0006-3223(98)00058-4.

    CAS  PubMed  Google Scholar 

  40. 40.

    Wessa M, Jatzko A, Flor H: Retrieval and emotional processing of traumatic memories in posttraumatic stress disorder: peripheral and central correlates. Neuropsychologia. 2006, 44 (10): 1683-1696. 10.1016/j.neuropsychologia.2006.03.024.

    PubMed  Google Scholar 

  41. 41.

    Metzger LJ, Orr SP, Lasko NB, McNally RJ, Pitman RK: Seeking the source of emotional Stroop interference effects in PTSD: a study of P3s to traumatic words. Integr Physiol Behav Sci. 1997, 32 (1): 43-51. 10.1007/BF02688612.

    CAS  PubMed  Google Scholar 

  42. 42.

    Ehlers CL, Hurst S, Phillips E, Gilder DA, Dixon M, Gross A, Lau P, Yehuda R: Electrophysiological responses to affective stimuli in American Indians experiencing trauma with and without PTSD. Ann N Y Acad Sci. 2006, 1071: 125-136. 10.1196/annals.1364.011.

    PubMed  Google Scholar 

  43. 43.

    Metzger LJ, Orr SP, Lasko NB, Berry NJ, Pitman RK: Evidence for diminished P3 amplitudes in PTSD. Ann N Y Acad Sci. 1997, 821: 499-503. 10.1111/j.1749-6632.1997.tb48315.x.

    CAS  PubMed  Google Scholar 

  44. 44.

    Smith D, Boutros NN, Schwarzkopf SB: Reliability of P50 auditory event-related potential indices of SG. Psychophysiology. 1994, 31: 495-502. 10.1111/j.1469-8986.1994.tb01053.x.

    CAS  PubMed  Google Scholar 

  45. 45.

    Fuerst DR, Gallinat J, Boutros NN: Range of SG values and test-retest reliability in normal subjects. Psychophysiology. 2007, 44: 620-626. 10.1111/j.1469-8986.2007.00524.x.

    PubMed  Google Scholar 

  46. 46.

    Kurayama T, Nakazawa K, Matsuzawa D, Yoshida S, Nanbu M, Suto C, Shimizu E: Alterations of auditory P50 suppression in human fear conditioning and extinction. Biol Psychiatry. 2009, 65 (6): 495-502. 10.1016/j.biopsych.2008.09.011.

    PubMed  Google Scholar 

  47. 47.

    Boutros NN, Korzyukov O, Oliwa G, Feingold A, Campbell D, McClain-Furmanski D, Struve F, Jansen BH: Morphological and latency abnormalities of the mid-latency auditory evoked responses in schizophrenia: a preliminary report. Schizophr Res. 2004, 70 (2-3): 303-313. 10.1016/j.schres.2003.12.009.

    PubMed  Google Scholar 

  48. 48.

    Anokhin AP, Vedeniapin AB, Heath AC, Korxyukov O, Boutros NN: Genetic and environmental influences on sensory gating of mid-latency auditory evoked responses: a twin study. Schizophr Res. 2007, 89 (1-3): 312-319. 10.1016/j.schres.2006.08.009.

    PubMed  Google Scholar 

  49. 49.

    Metzger LJ, Clark CR, McFarlane AC, Veltmeyer MD, Lasko NB, Paige SR, Pitman RK, Orr SP: Event-related potentials to auditory stimuli in monozygotic twins discordant for combat: association with PTSD. Psychophysiology. 2009, 46 (1): 172-178. 10.1111/j.1469-8986.2008.00720.x.

    PubMed  Google Scholar 

  50. 50.

    Attias J, Bleich A, Gilat S: Classification of veterans with post-traumatic stress disorder using visual brain evoked P3s to traumatic stimuli. Br J Psychiatry. 1996, 168 (1): 110-115. 10.1192/bjp.168.1.110.

    CAS  PubMed  Google Scholar 

  51. 51.

    Vrca A, Bozikov V, Malinar M: The use of visual evoked potentials to follow-up prisoners of war after release from detention camps. Coll Antropol. 1997, 21 (1): 229-233.

    CAS  PubMed  Google Scholar 

  52. 52.

    Gillette GM, Skinner RD, Rasco LM, Fielstein EM, Davis DH, Pawelak JE, Freeman TW, Karson CN, Boop FA, Garcia-Rill E: Combat veterans with posttraumatic stress disorder exhibit decreased habituation of the P1 midlatency auditory evoked potential. Life Sci. 1997, 61 (14): 1421-1434. 10.1016/S0024-3205(97)00688-7.

    CAS  PubMed  Google Scholar 

  53. 53.

    Neylan TC, Fletcher DJ, Lenoci M, McCallin K, Weiss DS, Schoenfeld FB, Marmar CR, Fein G: Sensory gating in chronic posttraumatic stress disorder: reduced auditory P50 suppression in combat veterans. Biol Psychiatry. 1999, 46 (12): 1656-1664. 10.1016/S0006-3223(99)00047-5.

    CAS  PubMed  Google Scholar 

  54. 54.

    Skinner RD, Rasco LM, Fitzgerald J, Karson CN, Matthew M, Williams DK, Garcia-Rill E: Reduced sensory gating of the P1 potential in rape victims and combat veterans with posttraumatic stress disorder. Depress Anxiety. 1999, 9 (3): 122-130. 10.1002/(SICI)1520-6394(1999)9:3<122::AID-DA4>3.0.CO;2-M.

    CAS  PubMed  Google Scholar 

  55. 55.

    Holstein DH, Vollenweider FX, Jäncke L, Schopper C, Csomor PA: P50 suppression, prepulse inhibition, and startle reactivity in the same patient cohort suffering from posttraumatic stress disorder. J Affect Disord. 2010, 126 (1-2): 188-197. 10.1016/j.jad.2010.02.122.

    PubMed  Google Scholar 

  56. 56.

    Metzger LJ, Orr SP, Lasko NB, Pitman RK: Auditory event-related potentials to tone stimuli in combat-related posttraumatic stress disorder. Biol Psychiatry. 1997, 42 (11): 1006-1015. 10.1016/S0006-3223(97)00138-8.

    CAS  PubMed  Google Scholar 

  57. 57.

    Galletly CA, McFarlane AC, Clark R: Differentiating cortical patterns of cognitive dysfunction in schizophrenia and posttraumatic stress disorder. Psychiatry Res. 2008, 159 (1-2): 196-206. 10.1016/j.psychres.2007.04.001.

    PubMed  Google Scholar 

  58. 58.

    Bleich AV, Attias J, Furman V: Effect of repeated visual traumatic stimuli on the event related P3 brain potential in post-traumatic stress disorder. Int J Neurosci. 1996, 85 (1-2): 45-55. 10.3109/00207459608986350.

    CAS  PubMed  Google Scholar 

  59. 59.

    Boudarene M, Timsit-Berthier M: Interest of events-related potentials in assessment of posttraumatic stress disorder. Ann N Y Acad Sci. 1997, 821: 494-498. 10.1111/j.1749-6632.1997.tb48314.x.

    CAS  PubMed  Google Scholar 

  60. 60.

    Kounios J, Litz B, Kaloupek D, Riggs D, Knight J, Weathers F, Anderson JE, Keane T: Electrophysiology of combat-related PTSD. Ann N Y Acad Sci. 1997, 821: 504-507. 10.1111/j.1749-6632.1997.tb48316.x.

    CAS  PubMed  Google Scholar 

  61. 61.

    Kimble M, Kaloupek D, Kaufman M, Deldin P: Stimulus novelty differentially affects attentional allocation in PTSD. Biol Psychiatry. 200, 47 (10): 880-890.

    Google Scholar 

  62. 62.

    Stanford MS, Vasterling JJ, Mathias CW, Constans JI, Houston RJ: Impact of threat relevance on P3 event-related potentials in combat-related post-traumatic stress disorder. Psychiatry Res. 2001, 102 (2): 125-137. 10.1016/S0165-1781(01)00236-0.

    CAS  PubMed  Google Scholar 

  63. 63.

    Neylan TC, Jasiukaitis PA, Lenoci M, Scott JC, Metzler TJ, Weiss DS, Schoenfeld FB, Marmar CR: Temporal instability of auditory and visual event-related potentials in posttraumatic stress disorder. Biol Psychiatry. 2003, 53 (3): 216-225. 10.1016/S0006-3223(02)01450-6.

    PubMed  Google Scholar 

  64. 64.

    Araki T, Kasai K, Yamasue H, Kato N, Kudo N, Ohtani T, Nakagome K, Kirihara K, Yamada H, Abe O, Iwanami A: Association between lower P300 amplitude and smaller anterior cingulate cortex volume in patients with posttraumatic stress disorder: a study of victims of Tokyo subway sarin attack. Neuroimage. 2005, 25 (1): 43-50. 10.1016/j.neuroimage.2004.11.039.

    PubMed  Google Scholar 

  65. 65.

    Veltmeyer MD, McFarlane AC, Bryant RA, Mayo T, Gordon E, Clark CR: Integrative assessment of brain function in PTSD: brain stability and working memory. J Integr Neurosci. 2005, 5 (1): 123-138.

    Google Scholar 

  66. 66.

    Wessa M, Flor H: Failure of extinction of fear responses in posttraumatic stress disorder: evidence from second-order conditioning. Am J Psychiatry. 2007, 164 (11): 1684-1692. 10.1176/appi.ajp.2007.07030525.

    PubMed  Google Scholar 

Download references

Author information



Corresponding author

Correspondence to Arash Javanbakht.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

AJ participated in design of the study, data collection and analysis; interpretation of the results and conceptualization of the findings; and preparation of the manuscript. IL participated in data analysis; interpretation of the results and conceptualization of the findings; and preparation of the manuscript. AA participated in design of the study; interpretation of the results and conceptualization of the findings; and preparation of the manuscript. KG participated in data analysis, and preparation of the manuscript.

NNB participated in design of the study; data analysis, interpretation of the results and conceptualization of the findings; and preparation of the manuscript. All authors read and approved the final manuscript.

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Javanbakht, A., Liberzon, I., Amirsadri, A. et al. Event-related potential studies of post-traumatic stress disorder: a critical review and synthesis. Biol Mood Anxiety Disord 1, 5 (2011).

Download citation


  • P300 Amplitude
  • Neutral Word
  • Neutral Stimulus
  • N100 Amplitude
  • Contingent Negative Variation