Potential P300 Research Articles

Effects of Signal Type and Noise Background on Auditory Evoked Potential N1, P2, and P3 Measurements in Blast-Exposed Veterans.

Veterans who have been exposed to high-intensity blast waves frequently report persistent auditory difficulties such as problems with speech-in-noise (SIN) understanding, even when hearing sensitivity remains normal. However, these subjective reports have proven challenging to corroborate objectively. Here, we sought to determine whether use of complex stimuli and challenging signal contrasts in auditory evoked potential (AEP) paradigms rather than traditional use of simple stimuli and easy signal contrasts improved the ability of these measures to (1) distinguish between blast-exposed Veterans with auditory complaints and neurologically normal control participants, and (2) predict behavioral measures of SIN perception. A total of 33 adults (aged 19-56 years) took part in this study, including 17 Veterans exposed to high-intensity blast waves within the past 10 years and 16 neurologically normal control participants matched for age and hearing status with the Veteran participants. All participants completed the following test measures: (1) a questionnaire probing perceived hearing abilities; (2) behavioral measures of SIN understanding including the BKB-SIN, the AzBio presented in 0 and +5 dB signal to noise ratios (SNRs), and a word-level consonant-vowel-consonant test presented at +5 dB SNR; and (3) electrophysiological tasks involving oddball paradigms in response to simple tones (500 Hz standard, 1000 Hz deviant) and complex speech syllables (/ba/ standard, /da/ deviant) presented in quiet and in four-talker speech babble at a SNR of +5 dB. Blast-exposed Veterans reported significantly greater auditory difficulties compared to control participants. Behavioral performance on tests of SIN perception was generally, but not significantly, poorer among the groups. Latencies of P3 responses to tone signals were significantly longer among blast-exposed participants compared to control participants regardless of background condition, though responses to speech signals were similar across groups. For cortical AEPs, no significant interactions were found between group membership and either stimulus type or background. P3 amplitudes measured in response to signals in background babble accounted for 30.9% of the variance in subjective auditory reports. Behavioral SIN performance was best predicted by a combination of N1 and P2 responses to signals in quiet which accounted for 69.6% and 57.4% of the variance on the AzBio at 0 dB SNR and the BKB-SIN, respectively. Although blast-exposed participants reported far more auditory difficulties compared to controls, use of complex stimuli and challenging signal contrasts in cortical and cognitive AEP measures failed to reveal larger group differences than responses to simple stimuli and easy signal contrasts. Despite this, only P3 responses to signals presented in background babble were predictive of subjective auditory complaints. In contrast, cortical N1 and P2 responses were predictive of behavioral SIN performance but not subjective auditory complaints, and use of challenging background babble generally did not improve performance predictions. These results suggest that challenging stimulus protocols are more likely to tap into perceived auditory deficits, but may not be beneficial for predicting performance on clinical measures of SIN understanding. Finally, these results should be interpreted with caution since blast-exposed participants did not perform significantly poorer on tests of SIN perception.

Auditory Evoked Potentials P50: Pure-tones vs Clicks. There is a Similar Supression?

Objective: Clinical application of middle-latency auditory evoked potential (MLAEPs) has been increasing, highlighting the importance of understanding the nature of P50, a component of middle-latency auditory evoked potential. We manipulated stimulus frequency bands in auditory stimuli in order to investigate the nature of P50 in human auditory evoked potentials.
 Methods: Two paradigms have been used to obtain P50: one is a conditioning /testing paradigm in which paired of pure tone (1000Hz) are delivered, and the other was presented paired of clicks, both with an intensity of 60 dB sound pressure level above the auditory threshold. A total of 30 healthy volunteers were recruited for this study among Center of genetic engineering (fifteen man and fifteen women, mean age of 36, 5). All without consumption of caffeine, cigarettes and drugs.
 Results: No statistically significant differences occurred between the P50 amplitudes and latencies for the pure tone and those for the clicks.
 Conclusions: Our present results indicate that P50 in humans may reflect a feed-forward mechanism of the brain where a preceding stimulus drives sensory gating mechanisms in preparation for a second stimulus, but the contained frequency doesn't influence on the P50. Both types (tones or clicks) can be used in the exploration of patient with this evoked potential.

A Comparative Study of Classification Techniques for P300 Speller

P300 speller in Brain Computer Interface (BCI) allows locked-in or completely paralyzed patients to communicate with humans. To achieve the performance of characterization and increase accuracy, machine learning techniques are used. The study is about an event related potential (ERP) P300 signal detection and classification using various machine learning algorithms. Linear Discriminant Analysis (LDA) and Support Vector Machine (SVM) are used to classify P300 and Non-P300 signal from Electroencephalography (EEG) signal. The performance of the system is evaluated based on f1-score using BCI competition III dataset II. In our system, we used LDA and SVM classification algorithms. Both the classifiers gave 91.0% classification accuracy.

Psychoemotional and cognitive characteristics in patients at the early stages of Parkinson’s disease

The purpose of the study was to assess psychoemotional and cognitive characteristics in patients at the early stages of Parkinson’s disease (PD) by neuropsychological and neurophysiological examinations. Materials and methods. A total of 40 PD patients with Hoehn and Yahr stage I–II (19 patients with stage I PD and 21 patients with stage II PD) were examined. A general physical examination and examination of the nervous system were performed in each group of patients. Neuropsychological characteristics were studied with the Unified Parkinson’s Disease Rating Scale (MDS UPDRS) , the Beck Depression Inventory , Starkstein Apathy Scale, Zung Anxiety Rating Scale, Vein Night Sleep Scale, Boston Stress Test. The cognitive functions were examined by the Montreal Cognitive Assessment (MoCA) scale and cognitive evoked potentials (CEP) P300. Results. A significant increase in PD symptoms (motor and non-motor) severity (P ˂ 0.001) according to MDS UPDRS data depending on PD stage was found. The anxiety level (P = 0.02) according to Zung Anxiety Rating Scale data and apathy level (P = 0.026) measured by Starkstein Apathy Scale, were significantly higher at stage II PD. Cognitive impairments were worsened according to the MoCA scale (P = 0.003) in 87.5 % of the patients. The prolongation of N2 latency in the right frontal area (P = 0.05) and P300 latency in all brain areas (P ˂ 0.01) were observed in stage II PD patients. Conclusions. There was a significant difference between PD symptoms severity (motor and non-motor) in stage I and II PD patients according to MDS UPDRS. Stage II PD patients were characterized by worse cognitive impairments, increased level of anxiety and apathy as compared to stage I PD patients. The difference between cognitive decline severity in patients with PD depending on the stage was confirmed by P300 latency prolongation in stage II PD patients.

Clinical and Neurophysiological Correlates of Emotion and Food Craving Regulation in Patients with Anorexia Nervosa.

Background: Difficulties in emotion regulation and craving regulation have been linked to eating symptomatology in patients with anorexia nervosa (AN), contributing to the maintenance of their eating disorder. Methods: To investigate clinical and electrophysiological correlates of these processes, 20 patients with AN and 20 healthy controls (HC) completed a computerized task during EEG recording, where they were instructed to down-regulate negative emotions or food craving. Participants also completed self-report measures of emotional regulation and food addiction. The P300 and Late Positive Potential (LPP) ERPs were analysed. Results: LPP amplitudes were significantly smaller during down-regulation of food craving among both groups. Independent of task condition, individuals with AN showed smaller P300 amplitudes compared to HC. Among HC, the self-reported use of re-appraisal strategies positively correlated with LPP amplitudes during emotional regulation task, while suppressive strategies negatively correlated with LPP amplitudes. The AN group, in comparison to the HC group, exhibited greater food addiction, greater use of maladaptive strategies, and emotional dysregulation. Conclusions: Despite the enhanced self-reported psychopathology among AN, both groups indicated neurophysiological evidence of food craving regulation as evidenced by blunted LPP amplitudes in the relevant task condition. Further research is required to delineate the mechanisms associated with reduced overall P300 amplitudes among individuals with AN.

Influence of the concrete and abstract graphs on N200 and P300 potentials

Increasing the amplitude of event-related potential is one of the key methods to improve the accuracy of the potential-based brain-computer interface, e.g., P300-based brain-computer interface. The brain-computer interface systems often use symbols or controlled objects as vision stimuli, but what visual stimuli can induce more obvious event-related potential is still unknown. This paper designed three kinds of visual stimuli, i.e., a square, an arrow, and a robot attached with an arrow, to analyze the influence of concreteness degree of the graph on the N200 and P300 potentials, and applied a support vector machine to compare the performance of the brain-computer interface under different stimuli. The results showed that, compared with the square, the robot attached with arrow and the arrow both induced larger N200 potential ( P = 1.6 × 10 -3, P = 4.2 × 10 -2) and longer P300 potential ( P = 2.2 × 10 -3, P = 1.9 × 10 -2) in the frontal area, but the amplitude under the arrow condition is smaller than the one under the robot attached with arrow condition. The robot attached with arrow increased the N200 potential amplitude of the square and arrow from 3.12 μV and 5.19 μV to 7.21 μV ( P = 1.6 × 10 -3, P = 8.9 × 10 -2), and improved the accuracy rate from 59.95%, 61.67% to 74.45% ( P = 2.1 × 10 -2, P = 1.6 × 10 -2), and the information transfer rate from 35.00 bits/min, 35.98 bits/min to 56.71 bits/min ( P = 2.6 × 10 -2, P = 1.6 × 10 -2). This study shows that the concreteness of graphics could affect the N200 potential and the P300 potential. The abstract symbol could represent the meaning and evoke potentials, but the information contained in the concrete robot attached with an arrow is more correlated with the human experience, which is helpful to improve the amplitude. The results may provide new sight in modifying the stimulus interface of the brain-computer interface.

False memory production in schizophrenia: A neurophysiological investigation

BackgroundThe topic of false memory in schizophrenia has been well documented in earlier research contributions. To date, there is no study exploring the implications of specific neural networks during this phenomenon in patients suffering from schizophrenia. MethodsWe compared 17 patients suffering from psychosis (SCZ) to 33 healthy controls (HC) performing a verbal memory task designed to produce false memories, i.e. the Deese–Roediger–McDermott paradigm (DRM). Electroencephalography was used to specifically analyze the P2 and N400 event-related potentials components. ResultsThe SCZ patients showed a reduced ability to distinguish between true and false memories as assessed by the A′ index which was calculated based on the false and true memory rates. The morphology of the P2 differed in frontal electrode region with a lower amplitude in SCZ. In addition, the amplitude of N400 was more pronounced (more negative) in HC than in SCZ in centro-parietal electrode site. ConclusionsWe suggest that the differences found in P2 amplitude are associated with difficulties of SCZ patients to efficiently compare item-specific features of a mnesic elements to incoming stimuli which impair the subsequent verbal memory information processing reflected by the N400 component amplitude decrease. These results are consistent with the idea that SCZ use a different strategy while they perform the DRM paradigm.

Medicinal Chemical Studies Based on the Theoretical Design of Bioactive Compounds

I have engaged in medicinal chemical studies based on the theoretical design of bioactive compounds. First, I present a three-dimensional structural diversity-oriented conformational restriction strategy for developing bioactive compounds based on the characteristic steric and stereoelectronic features of cyclopropane. Using this strategy, various biologically active small molecule compounds, such as receptor agonists/antagonists and enzyme inhibitors, were effectively developed. The strategy was also applied to develop versatile peptidomimetics and membrane-permeable cyclic peptides. Next, studies on Ca2+-mobilizing second messengers, cyclic ADP-ribose (cADPR) and myo-inositol trisphosphates (IP3), are described. In these studies, stable equivalents of cADPR were developed, since biological studies of cADPR have been limited due to its instability. Various potent IP3 receptor ligands, which were designed using the d-glucose structure as a bioisostere of the myo-inositol moiety of IP3, have been identified. Organic chemistry studies have also been extensively performed, because excellent organic chemistry is essential for promoting high-level medicinal chemical studies. For examples, new methods for the synthesis of chiral cyclopropanes, new radical reactions with silicon tethers, and kinetic anomeric effect-dependent stereoselective glycosidations have been developed.

Neural and behavioural indices of face processing in siblings of children with autism spectrum disorder (ASD): A longitudinal study from infancy to mid-childhood

Impaired face processing is proposed to play a key role in the early development of autism spectrum disorder (ASD) and to be an endophenotypic trait which indexes genetic risk for the disorder. However, no published work has examined the development of face processing abilities from infancy into the school-age years and how they relate to ASD symptoms in individuals with or at high-risk for ASD. In this novel study we investigated neural and behavioural measures of face processing at age 7 months and again in mid-childhood (age 7 years) as well as social-communication and sensory symptoms in siblings at high (n = 42) and low (n = 35) familial risk for ASD. In mid-childhood, high-risk siblings showed atypical P1 and N170 event-related potential correlates of face processing and, for high-risk boys only, poorer face and object recognition ability compared to low-risk siblings. These neural and behavioural atypicalities were associated with each other and with higher social-communication and sensory symptoms in mid-childhood. Additionally, more atypical neural correlates of object (but not face) processing in infancy were associated with less right-lateralised (more atypical) N170 amplitudes and greater social-communication problems in mid-childhood. The implications for models of face processing in ASD are discussed.

The Study of Influence of Sound on Visual ERP-Based Brain Computer Interface.

The performance of the event-related potential (ERP)-based brain–computer interface (BCI) declines when applying it into the real environment, which limits the generality of the BCI. The sound is a common noise in daily life, and whether it has influence on this decline is unknown. This study designs a visual-auditory BCI task that requires the subject to focus on the visual interface to output commands and simultaneously count number according to an auditory story. The story is played at three speeds to cause different workloads. Data collected under the same or different workloads are used to train and test classifiers. The results show that when the speed of playing the story increases, the amplitudes of P300 and N200 potentials decrease by 0.86 μV (p = 0.0239) and 0.69 μV (p = 0.0158) in occipital-parietal area, leading to a 5.95% decline (p = 0.0101) of accuracy and 9.53 bits/min decline (p = 0.0416) of information transfer rate. The classifier that is trained by the high workload data achieves higher accuracy than the one trained by the low workload if using the high workload data to test the performance. The result indicates that the sound could affect the visual ERP-BCI by increasing the workload. The large similarity of the training data and testing data is as important as the amplitudes of the ERP on obtaining high performance, which gives us an insight on how make to the ERP-BCI generalized.

Behavioral and Neural Markers of Emotion Competence as Predictors of Later Psychopathology in Children With and Without Hyperactive/Impulsive Symptoms

Objective: We examined behavioral and neural markers of emotion competence in young children as predictors of psychopathology, and as mediators of the relation between hyperactivity/impulsivity (H/I) and psychopathology. Method: At Time 1 (T1), children (n = 49; ages 4–7 years) with and without H/I symptoms completed a frustration task. Frustration, observed emotion, and neural activity (P1, N2, and P3 event-related potentials) were measured. Symptoms of psychopathology were collected 18 months later (Time 2; T2). Results: T1 lability, negative affect, and frustration predicted T2 depression and aggression symptomatology, controlling for T1 symptoms. Children with difficulty allocating neural resources during and after frustration were at risk for depression, aggression, and anxiety symptoms, controlling for earlier symptoms. P3 amplitudes during recovery mediated the relation between H/I and later depression. Conclusion: Markers of emotion competence contribute to psychopathology symptoms, particularly in children at risk for attention-deficit/hyperactivity disorder (ADHD). Emotion competence skills may be useful intervention targets.

Motivational salience, impulsivity and testosterone in free cycling women: An ERP-Study

Impulsivity is regarded as a personality dimension that is associated with fast acting without always thinking of its consequences. Whereas it has been associated with a lot of pathologies, its neural associations and in which way these are related to motivational- and incentive salience, are far from being clear. Furthermore, sex differences suggest some associations with different reactivity across the menstrual cycle in women, hinting to possible hormonal influences. 35 free cycling women were tested in a randomized within-subject design across three cycle-phases, recording an EEG during an Picture-Stroop-Paradigm, measuring gonadal hormones (estradiol, progesterone, testosterone), as well as assessing impulsivity with the Multidimensional Personality Questionnaire. It was hypothesized that reactivity towards highly salient pictures, indicated by the event related potentials P300 and the late positive potential (LPP), to be differing in dependence of impulsivity. Results reveal associations of high impulsivity with generally lower P300-amplitudes, blunted LPP-responses towards erotic pictures, as well as lower mean testosterone concentrations in female subjects. This is especially interesting in the context of motivational salience and might be indicating a higher threshold of activation needed in high impulsive individuals - being in line with clinical observations with associations of addictions and other disorders.

A TrAdaBoost Method for Detecting Multiple Subjects' N200 and P300 Potentials Based on Cross-Validation and an Adaptive Threshold.

Traditional training methods need to collect a large amount of data for every subject to train a subject-specific classifier, which causes subjects fatigue and training burden. This study proposes a novel training method, TrAdaBoost based on cross-validation and an adaptive threshold (CV-T-TAB), to reduce the amount of data required for training by selecting and combining multiple subjects' classifiers that perform well on a new subject to train a classifier. This method adopts cross-validation to extend the amount of the new subject's training data and sets an adaptive threshold to select the optimal combination of the classifiers. Twenty-five subjects participated in the N200- and P300-based brain-computer interface. The study compares CV-T-TAB to five traditional training methods by testing them on the training of a support vector machine. The accuracy, information transfer rate, area under the curve, recall and precision are used to evaluate the performances under nine conditions with different amounts of data. CV-T-TAB outperforms the other methods and retains a high accuracy even when the amount of data is reduced to one-third of the original amount. The results imply that CV-T-TAB is effective in improving the performance of a subject-specific classifier with a small amount of data by adopting multiple subjects' classifiers, which reduces the training cost.

Active inference as a unifying, generic and adaptive framework for a P300-based BCI

Objective. Going adaptive is a major challenge for the field of brain–computer interface (BCI). This entails a machine that optimally articulates inference about the user’s intentions and its own actions. Adaptation can operate over several dimensions which calls for a generic and flexible framework. Approach. We appeal to one of the most comprehensive computational approach to brain (adaptive) functions: the active inference (AI) framework. It entails an explicit (probabilistic) model of the user that the machine interacts with, here involved in a P300-spelling task. This takes the form of a discrete input–output state-space model establishing the link between the machine’s (i) observations—a P300 or error potential for instance, (ii) representations—of the user intentions to spell or pause, and (iii) actions—to flash, spell or switch-off the application. Main results. Using simulations with real EEG data from 18 subjects, results demonstrate the ability of AI to yield a significant increase in bit rate (17%) over state-of-the-art approaches, such as dynamic stopping. Significance. Thanks to its flexibility, this one model enables to implement optimal (dynamic) stopping but also optimal flashing (i.e. active sampling), automated error correction, and switching off when the user does not look at the screen anymore. Importantly, this approach enables the machine to flexibly arbitrate between all these possible actions. We demonstrate AI as a unifying and generic framework to implement a flexible interaction behaviour in a given BCI context.

Evaluation of the Cognitive Evoked Potential P300 in Medical Students Under Different Levels of Academic Stress

Stress has been defined as a state of imbalance, influenced by conditions that threaten the mechanisms of homeostasis. For the student population, one of the main causes of stress can be academic performance, which depends on many different factors. Some studies have shown a decreased level of attention under conditions of excessive stress, which could influence poor academic performance. In this context, the aim of the study was to determine whether the attention level is modified in circumstances of exacerbated stress that may determine academic failure or success. Students of the Faculty of Medicine of the UNAM were recruited. The degree of perceived stress and academic motivation was evaluated through the PSQUI (Pitsburgh Sleep Quality Index) test, also cortisol levels were assessed. Subsequently, measurements of the cognitive evoked potential, P300, a parameter that assesses attention, were made using the Odd ball test, at 2 different times: a period with exacerbated stress and another with basal stress. A paired t-Student test was performed to compare the amplitude and latency values of the P300 potential between evaluations; Pearson's correlation coefficient was calculated to establish the relationship between the degree of stress perceived by PSQUI and the latency of the P300 potential. Significant differences were identified between the latency of the P300 potential at a time of exacerbated stress compared to baseline stress. A correlation between the degree of stress perceived by PSQUI and the latency of the P300 potential was not determined. In conclusion, it is observed that the level of attention evaluated by P300 is significantly different in students exposed to exacerbated stress.

Brain buzz for Facebook? Neural indicators of SNS content engagement

Marketing in social media is gaining importance among young consumers. Because of the clutter in social network services (SNS) like Facebook, creating engaging content that can generate click-through and sharing behaviors is becoming a key success factor for SNS marketing. We investigate the neural indicators of engagement with content as a driver of consumers′ click-through behavior in social media. Using a novel neuroscientific research methodology called event-related potentials (ERP), we find unique brainwave signals that combine P3 and late positive potential (LPP), increasing power signals with multiple exposures while young consumers are exposed to highly engaging Facebook posts. These unique brainwave signals in response to engagement with online content, which occur within 300 ms, are detected in the bilateral temporal brain areas. A new neuromarketing method will soon allow marketers to predict consumers′ online click-through behaviors from micro-second brain processes that occur almost simultaneously with the time of content exposure.

Repeated transcranial magnetic stimulation combined with Donepezil can improve the cognition of cognitively impaired stroke survivors

Objective To investigate the effect of repetitive transcranial magnetic stimulation (rTMS) combined with donepezil on the cognition of persons with post-stroke cognitive impairment (PSCI) and their ability to perform activities of daily living (ADL). Methods A total of 106 PSCI patients were randomly divided into an observation group and a control group using a random number table. Those in the observation group received 10Hz rTMS (5 seconds on and 25 seconds off for 20 minutes daily) and donepezil daily, 5 days per week for 4 weeks, while those in the control group were provided with donepezil but only sham rTMS on the same schedule. Before and after 4 weeks of treatment, the Montreal cognitive assessment scale (MoCA), the Rivermead behavior memory test (RBMT) and the modified Barthel index (MBI) were used to evaluate the subjects′ cognitive functioning, memory capacity and ADL ability. The latency and amplitude of auditory event-related potential P300 were also assessed using a myoelectric evoked potential apparatus. Results After the treatment, improvement was observed in all the measurements of both groups. After the treatment, the average MoCA, RBMT and MBI scores, as well as the latency and amplitude of P300 in the observation group were all significantly better than among the control group. Conclusions rTMS can supplement donepezil′s ability to improve the cognition and ADL ability of persons with PSCI. Such therapy is worthy of clinical promotion and application. Key words: Stroke; Cognitive impairment; Transcranial magnetic stimulation; Donepezil

Effect of the concreteness of robot motion visual stimulus on an event-related potential-based brain-computer interface

Event-related potential (ERP)-based brain-computer interface (BCI) has been widely used in robot control. Increasing the amplitude of the ERPs is key for improving the performance of ERP-based BCI. However, using images of robot motion as visual stimuli has not been studied widely. The aim of this study is to explore the concreteness of robot motion images on ERPs. Fifteen subjects used five kinds of visual spellers employing different images as visual stimuli: squares, arrows, a single kind of robot motion, multiple kinds of robot motions, and multiple kinds of robot motions with arrows. The three robot motion stimuli induced larger N200 and P300 potentials than non-robot motion stimuli. The topography shows that robot motion stimuli also evoke stronger negativities in the anterior and occipital areas. Concrete images provide more information to the subject about the robot motion, which might help the brain extract the meaning of the image more automatically. We use a support vector machine to detect the subject’s intentions. There is substantial improvement in the classification performance when using robot motion images as visual stimuli, which implies that concrete visual stimuli improve the performance of the ERP-based BCI.

Developing a Novel Tactile P300 Brain-Computer Interface With a Cheeks-Stim Paradigm.

Tactile brain-computer interface (BCI) systems can provide new communication and control options for patients with impairments of eye movements or vision. One of the most common modalities used in these BCIs is the P300 potential. Until now, tactile P300 BCIs have been successfully constructed by situating tactile stimuli at various parts of the human body. This article proposed a novel tactile P300 BCI paradigm for further expanding the tactile stimulation methods. In our proposed paradigm, the spatial target vibrotactile stimuli were delivered to subject's left and right cheeks. To validate the feasibility of our proposed paradigm, a traditional tactile P300 BCI paradigm employing spatial target vibrotactile stimuli to subject's left and right wrists was used for comparison. The experimental results of nine healthy subjects demonstrated that the proposed paradigm could obtain significantly higher classification accuracy and information transfer rate than the traditional paradigm (both for p < 0.05). Furthermore, the subjective feedback showed that our proposed paradigm was more favored by the subjects compared to the traditional paradigm, and most subjects reported that the new paradigm helped them easily distinguish between targets and non-targets. The proposed tactile P300 BCI paradigm is feasible, and can bring about superior performance and use-evaluation. The new paradigm might lead to many promising applications of such BCIs.

Auditory and Visual P300 Responses in Early Cognitive Assessment of Children and Adolescents with Epilepsy.

ABSTRACTBackground:The event-related potential P300 has been suggested to be valuable in the assessment of cognitive dysfunctions. Not a great deal of neurophysiological assessment has been performed at early stages in patients with epilepsy involving visual and auditory P300 measures.Aims and Objectives:This study aimed to assess the cognitive status in patients with epilepsy earlier by visual and auditory P300 and to find their correlation with various risk factors.Materials and Methods:P300 was recorded in 60 children with epilepsy in the age-group of 5–18 years and 60 age- and sex-matched controls by a rare-frequent (oddball) paradigm. Mean auditory and visual P300 latencies and amplitudes were compared among patients with epilepsy and controls and among patients with generalized and focal epilepsy by unpaired t-test. Pearson’s correlation coefficient test was computed for studying the correlation between risk factors and P300 responses. A value of P < 0.05 was considered statistically significant.Results:Statistically significant delay in P300 latencies and reduction in amplitudes (both visual and auditory) was found in patients with epilepsy as compared to controls and also among patients with generalized and focal epilepsy. In generalized epilepsy, both visual and auditory P300 revealed significant delay, whereas only auditory P300 delay was found in focal form. No significant correlation was obtained with risk factors. No significant difference was found in P300 responses among patients with and without antiepileptic treatment.Conclusion:Visual and auditory P300 latencies have an important role in the evaluation of early cognitive dysfunctions in children with epilepsy. P300 potentials are not influenced by antiepileptic treatment, whereas the type of epilepsy alters them