Indian Journal of Physiology and Pharmacology
Volume 63 - Number 2 April - 2019

Original Article

Auditory Event Related Potential and PennCNP Neuropsychological Test Battery to Measure Aspects of Cognition in Young Adults : A Correlation Study

Anam Aseem*, Hina Kauser and Mohammed Ejaz Hussain

Centre for Physiotherapy and Rehabilitation Sciences, Jamia Millia Islamia (Central University), New Delhi – 110 025, India

*Corresponding author :
Anam Aseem, MPT Neurology, Centre for Physiotherapy and Rehabilitation Sciences, Jamia Millia Islamia (Central University), New Delhi – 110 025, India, Tel: 91-8826837035, Email:


Introduction: There are a number of ways to assess cognitive functions. The two most important and routinely done tests are neuropsychological battery and event related potentials. The present study examined the relationship between conventional neuropsychological tests assessing various domains of cognition and an event related potential (P300).

Methods: Subjects were 60 neurologically normal healthy adults 20-30 years old with no history of neurological, neurosurgical, or psychiatric disorders. We administered a neuropsychological test battery (Penn CNP) assessing reaction time, visual memory and logical reasoning and recorded event related potential, P300 using auditory oddball paradigm in all subjects.

Results: A correlation test was run and pearson’s analysis revealed that there was a positive correlation between reaction time on neuropsychological test battery and P300 wave latency. No relationship was found between other tests on neuropsychological test battery and P300 wave characteristics i.e., latency or amplitude.

Conclusion: We therefore conclude that P300 measurements cannot be replaced by neuropsychological tests or vice versa; rather, higher cortical functions should be evaluated by both methods.


Cognition is an umbrella term which includes memory, attention, executive function, reasoning and other higher mental processes (1). It also facilitates human beings to work in a goal-oriented fashion, and continuously challenge these control processes when attempting to accomplish multiple goals simultaneously (2). Cognitive functions get affected in response to alteration in physiological functions like ageing, stress and sleep disturbance as well as in a number of medical conditions like hypertension, dementia, Parkinson’s disease, diabetes, and in different psychiatric illnesses such as schizophrenia and bipolar disorders (3). Decline in cognition leads to a number of problems like decreased attention and concentration abilities, increased distractions, increased reaction time, altered responses, behavioural disinhibitions, learning and memory deficits which are critical for day to day functioning (4).

Assessment of cognitive functions can be done in a number of ways. The two most commonly used methods are Neuro-Psychological (NP) Tests and Event Related Potentials (ERP- P300) (5). Neuro-Psychological tests are specifically designed tasks to measure a psychological function known to be linked to a particular brain structure or pathway (6). These tests usually involve the systematic administration of clearly defined procedures in a formal environment (7). Testing of pre frontal cognition, most precisely includes battery of tests assessing
reaction time, memory and reasoning ability. Reaction time involves fast decision making, motor planning and execution (8), whereas visual memory keeps a track of attributes or dimensions of the visual stimulus that the individual sees (9), and logical reasoning measures the ability to form concept and apply reasoning to various stimuli presented (10). Evaluation of these cognitive functions are used for research purposes and in clinical settings for the diagnosis of deficits (11). In essence, PennCNP - which is a web-based computerized neuro-psychological test battery, measures performance accuracy and speed on specific neurobehavioral domains using tests assessing various cognitive abilities (12). The psychometric properties of PennCNP is well established (13), therefore, it is considered as a valid and reliable method to assess various aspects of cognition and alterations in the same, if any.

Another way to objectively evaluate pre frontal cognition is by using its electrophysiological correlates via electroencephalography (EEG). Event Related Potential (ERP), in particular P300, an endogenous positive deflection in voltage with a latency of around 300 ms, have been used extensively to assess aspects of cognition in a rare target stimuli detection task using auditory or visual oddball paradigm (14). During the procedure, the subject detects an occasional ‘target’ stimulus in a regular train of standard stimulus. P300 latency and amplitude are often considered to be importantly related to higher cortical functioning.A decrease in amplitude and increase in latency corresponds to cognitive slowing (15). Thus, the P300 reflects human cognitive processes and has been used to examine higher order mental abilities in various cohorts.

As both these measures evaluate cognition, a few researchers have also focussed on finding out the association between ERPs and NP tests (16, 17, 18). However, data defining the relationship between P300 wave characteristics and cognitive function is inconclusive and scarce, with only a handful of heterogeneous researches being published on the same. Therefore, in the present study,we correlated the results of conventional neuropsychological tests with characteristics of ERP (P300) in young healthy population of India.


The protocol was approved by Institutional Ethics Committee (IEC), Jamia Millia Islamia and the study was conducted in compliance with the guidelines set out by the IEC. All the participants gave their written consent before the start of the study. They were informed of their right to decline or terminate participation in the study at any time.

Sixty neurologically normal, healthy subjects, of both the genders, aged between 20-30 years were recruited for the study. All the participants reported normal hearing and normal, or corrected to normal, vision and they all had an understanding of basic English language. Participants were excluded if they had a history of any neurological, psychological and psychiatric disorders, use of alcohol, other drug abuse, centrally active medications or if they were
taking sleeping pills.

Neuro-Psychological battery

PennCNP test battery was administered individually to a single person at a time working with an examiner in a quiet office environment, free from distractions. As a first step in testing, the subject was acquainted with the computer and mouse and performed an un-speeded version of the Mouse Practice task. This practice was administered at the beginning of the session to assure the participant has sufficient skills in moving and clicking the mouse. The participants were tested for their reaction time, visual memory and logical reasoning on various cognitively engaging task.

Reaction time

The reaction time task required moving the mouse and clicking as quickly as possible on a green square that disappears after the click. The square gets increasingly smaller owing to an increase in the difficulty level. The median response time was used as the main dependent measure to quantify reaction time.

Visual memory

The face memory test presented 20 digitized faces that were later mixed with 20 distracters. The participant’s efficacy score, ranging from 0-40 is calculated, which reflects the number of correctly recognized targets and correctly rejected foils with higher scores indicating better face memory.

Logical reasoning

Subjects were presented with task in which they had to decide which of the 4 objects does not belong with the other 3 based on different sorting principles (e.g., shape, size, line thickness). Sorting principle changed after 10 successive correct responses to increase difficulty. An accuracy score was calculated for the task, with higher scores demonstrating better reasoning ability.

Scoring of tasks

The scores for these cognitive tasks (median response time for reaction time task, efficacy score for visual memory and accuracy score for logical reasoning task) were calculated by the PennCNP website (

Event related potential P300

Because there is high inter-individual variability in ERP P300, great care was taken to standardize measurement conditions. The ERP was recorded at the same time of the day (10-11 am) for all the participants to avoid circadian variations on the wave. Environmental factors which influence ERP such as temperature, noise, or strong luminosity was controlled during each recording. Moreover, instructions for the last 24 hours were given to the participants to refrain from consuming caffeinated products and excessive physical activity as these can also contribute to changes in P300 wave.

The participant was made to lie comfortably. The scalp was gently cleaned with NûPrepTM skin prepping gel to abrade the dead skin and Ten20TM conductive EEG paste was applied to different locations on the scalp for the placement of electrodes. Ag-AgCl disc electrodes were used for recording. The active electrode was attached on the vertex (Cz), reference electrodes on mastoid (A1), and ground electrode on the forehead (Fpz) (19). The auditory ERPs were recorded during a task involving standard auditory oddball paradigm on RMS Salus 2C machine, India. The sound intensity for auditory stimulus was computed in accordance to hearing threshold of each individual. The subjects were presented with two kinds of sound through headphones, and were instructed not to count the number of (frequent, non-target stimuli) presentations of a low-pitch tone (S1), but to count the number of (rare, target stimuli) presentations of a high-pitch tone (S2). The S1 and S2 sounds were produced at a target: non-target ratio randomly. Subjects were tested twice in this manner. The first test was to familiarize the subjects with the process. The second test was the main test, in which the subjects were given instructions about the measurement process. During the recording of AERPs, subjects were instructed to avoid excessive movement of the face, eyes, and neck (20).


A sample of sixty students (28=females and 32=males) with demographic characteristics (mean age = 23.6±2.43 years, mean height = 163.813±9.37 cm, mean weight = 58.7±6.32 kg and mean BMI = 21.86±1.28 kg/m²) was assessed for the ERP P300 characteristics and various tests on neuropsychological test battery (Table I).

We computed Pearson’s correlation (Table II) to assess the relationship between different domains of cognition on neuropsychological test battery (reaction time, visual memory and logical reasoning) and electrophysiological correlates of cognition i.e., P300 characteristics (wave latency and amplitude). The relationship between P300 amplitude and RT was computed but it did not show any association [r = -0.2096, p = 0.1080; Fig. 1 (A)]. Similarly, a correlation analysis was also done for P300 amplitude and visual memory [r = -0.08209, p = 0.5329; Fig. 1 (B)] and P300 amp and logical reasoning [r = -0.1119, p = 0.3947; Fig. 1 (C)], but no association was found in any of the analysis.

Interestingly, a positive linear correlation was found between the latency of P300 wave and median response time on reaction time task on neuropsychological test battery [r = 0.3283*, p = 0.0104; Fig. 2 (A)], demonstrating that participants who performed better on reaction time task showed an optimal latency values for P 300 wave, and those who took a longer time to perform reaction time task, also had their latencies increased when analysed for P300 wave. However, when P300 latency was analysed for relationship with visual memory [r = -0.1636, p = 0.2116; Fig. 2 (B)] and logical reasoning [r = 0.1532, p = 0.2425; Fig. 2 (C)], no correlation was found in any of the analysis.


Different procedures are available to test cognition like simple pen paper tests (21), neuropsychological batteries in which different tests are designed to assess various domains of cognition (22), electrophysiological techniques such as event related potentials (23) and imaging techniques like fMRI (24). Although fMRI is more specific, but because of its high cost it cannot be used in clinical setup on a regular basis. The two most common and specific biomarkers to assess cognition are neuropsychological battery and ERP P300, which can be done regularly in clinics (25).

Event related potentials are stimulus processing measures that are used by many researchers to quantify cognitive functions in normal and pathological cases (26-28). These tests have reached a degree of standardization sufficient to make them gold standard for higher mental function assessment. On the other hand, a few researchers have also used PennCNP, a popular and user friendly neuropsychological battery to assess various cognitive domains. Neves and colleagues (29) assessed sensorimotor performance in euthmic bipolar disorder patients using the motor praxis test of the same battery. Similarly, researchers have explored the difference in executive performance profile of students using the tests of executive function and abstraction on PennCNP (30). In the same lines, Ferriera in 2018, also used Penn CNP tests to demonstrate the relationship between different types of memory including verbal, face and working memory with emotional regulation in college students (31).

In this study, we evaluated the relationship between ERP P300 and neuropsychological tests in healthy adult subjects using PennCNP battery. Our results indicate that P300 wave latency was associated with reaction time on cognitive task. The finding of the present study shares similarities with previous studies, demonstrating that there is a positive relationship between reaction time task on neuropsychological test and latency of P300 wave (32). Our results are also in agreement with studies done by other researchers (16, 33) showing associations between long latency responses and choice reaction tasks. This shows that participants having prolonged wave latency show increased reaction time, and those having optimal P300 latency take less time to react to a particular stimulus on reaction time task. Reaction time task measures general alertness and motor speed through delivery of a known stimulus to a known location to elicit a known response, the only uncertainty is regarding when the stimulus will occur, by having a variable interval between the trial response and the onset of the stimulus for the next trial (34). This, therefore, tests the minimal time needed to respond to a stimulus, and is a basic measure of processing speed. On the other hand, latency of P300 wave is considered to reflect the speed of neural events underlying perception and discrimination of a target stimulus (35). In physiological terms, both these tasks measure the same underlying neural aspect.

We also tested for association between ERP P300 wave characteristics and neuropsychological tests. No correlation was found between P300 wave variables (amplitude and latency) and other domains of cognition which were tested i.e., visual memory and logical reasoning. Also, the P300 wave characteristics were normal in some cases in whom the neuropsychological tests were abnormal and vice versa. Similar results were found in the study done by Maeshima and group (16), in which healthy participants were subjected to neuropsychological tests and ERP and no correlation was reported between the measures of ERP and neuropsychological tests, however mild to moderate correlations were evident between age and cognitive parameters demonstrating decrease in the efficiency of human cognitive processes with ageing. Moreover, studies with pathological cases like Alzheimer’s also share similar findings demonstrating no association between ERP characteristics and performance on NP tests including memory and reasoning tasks (17). While, in literature, P300 amplitude and latency has been correlated with performance on neuropsychological tests, which aspects of cognitive function are reflected in the observed relationships is not clear. Moreover, several studies have reported the relationships of ERPs with psychological tests like matrices, block design and digit span (31), but these studies have worked with neurological and psychological patients rather than healthy adults.

The results of the present study imply that ERP P300 and neuropsychological tests probably reflect and assess different processes involved in cognition. Therefore, any of the test cannot be replaced by the other, and higher cortical functions should be evaluated by both the methods in research and clinical settings. Parra and colleagues (36) too suggested that combined use of neuropsychological tasks, and the analysis of the P300 may offer a very useful method for the assessment of cognitive functions.

The main limitation of the study was that we did not examine gender differences in the present study whereas previous researches have shown some, although mild, gender-based differences in cognitive abilities (37). For better understanding, future researches can also incorporate questionnaire-based psychological tests, and other tasks on neuropsychological test battery measuring different domains of cognition and correlate them with ERPs. These are important issues which should be considered in future studies.

In spite of these limitations, our study has many potential strengths. The present study used a novel approach to evaluate the neuropsychological and electrophysiological measures of cognition together. The study also attempted to establish the relationship between the neuropsychological tasks and P300 components in young healthy participants. Also, the testing procedures applied in the present study are in accordance with the gold standard equipment, and standardized protocols are used as per guidelines. Considering all these facts, the present study implies that although, ERPs and neuropsychological tests are considered specific for cognitive testing but the standardized testing procedure should make use of both the measures, as one measure cannot predict the result of other.


The authors would like to acknowledge the support of University of Pennsylvania, for giving us the access to use their cognitive test battery, PennCNP. We also want to thank the Neurophysiology Lab, Centre for Physiotherapy and Rehabilitation Sciences (CPRS), Jamia Millia Islamia (JMI), India for their ongoing hard work and support.


  1. Sachdeva A, Kumar K, Anand KS. Non pharmacological cognitive enhancers–current perspectives. Journal of Clinical and Diagnostic Research: JCDR. 2015 Jul; 9(7): VE01.
  2. Anguera JA, Boccanfuso J, Rintoul JL, Al-Hashimi O, Faraji F, Janowich J, Kong E, Larraburo Y, Rolle C, Johnston E, Gazzaley A. Video game training enhances cognitive control in older adults. Nature 2013 Sep 5; 501(7465): 97–101.
  3. MillánCalenti JC, Maseda A, Rochette S, Vázquez GA, Sánchez A, Lorenzo T. Mental and psychological conditions, medical comorbidity and functional limitation: differential associations in older adults with cognitive impairment, depressive symptoms and coexistence of both. International Journal of Geriatric Psychiatry 2011 Oct 1; 26(10): 1071–1079.
  4. Johansson MM, Marcusson J, Wressle E. Cognitive impairment and its consequences in everyday life: experiences of people with mild cognitive impairment or mild dementia and their relatives. International Psychogeriatrics 2015 Jun; 27(6): 949–958.
  5. Woodford HJ, George J. Cognitive assessment in the elderly: a review of clinical methods. QJM: An International Journal of Medicine 2007 Aug 1; 100(8): 469–484.
  6. Harvey PD. Clinical applications of neuropsychological assessment. Dialogues in Clinical Neuroscience 2012 Mar; 14(1): 91.
  7. Parikh M, Hynan LS, Weiner MF, Lacritz L, Ringe W, Cullum CM. Single neuropsychological test scores associated with rate of cognitive decline in early Alzheimer disease. The Clinical Neuropsychologist 2014 Aug 18; 28(6): 926–940.
  8. Rinehart NJ, Bradshaw JL, Brereton AV, Tonge BJ. Movement preparation in high-functioning autism and Asperger disorder: a serial choice reaction time task involving motor reprogramming. Journal of Autism and Developmental Disorders 2001 Feb 1; 31(1): 79–88.
  9. Magnussen S. Implicit visual working memory. Scandinavian Journal of Psychology 2009 Dec 1; 50(6): 535–542.
  10. Goel V, Makale M, Grafman J. The hippocampal system mediates logical reasoning about familiar spatial environments. Journal of Cognitive Neuroscience 2004 May; 16(4): 654–664
  11. Haimov I, Shatil E. Cognitive training improves sleep quality and cognitive function among older adults with insomnia. PLoS One 2013 Apr 5; 8(4): e61390.
  12. Moore TM, Reise SP, Gur RE, Hakonarson H, Gur RC. Psychometric properties of the Penn Computerized Neurocognitive Battery. Neuropsychology 2015 Mar; 29(2): 235.
  13. Gur RC, Richard J, Hughett P, Calkins ME, Macy L, Bilker WB, Brensinger C, Gur RE. A cognitive neuroscience￾based computerized battery for efficient measurement of individual differences: standardization and initial construct validation. Journal of Neuroscience Methods 2010 Mar 30; 187(2): 254–262.
  14. Picton TW. The P300 wave of the human event-related potential. Journal of Clinical Neurophysiology 1992 Oct 1; 9(4): 456–479.
  15. Vandoolaeghe E, van Hunsel F, Nuyten D, Maes M. Auditory event related potentials in major depression: prolonged P300 latency and increased P200 amplitude. Journal of Affective Disorders 1998 Mar 1; 48(2): 105– 113.
  16. Maeshima S, Okita R, Yamaga H, Ozaki F, Moriwaki H. Relationships between event-related potentials and neuropsychological tests in neurologically healthy adults. Journal of Clinical Neuroscience 2003 Jan 1; 10(1): 60– 62.
  17. Boller F, Dequeker J, Degreef H, El Massioui F, Devouche E, Busschots AM, Mallia C, Traykov L, Pomati S, Starkstein SE. Processing emotional information in Alzheimer’s disease: effects on memory performance and neurophysiological correlates. Dementia and Geriatric Cognitive Disorders 2002; 14(2): 104–112.
  18. Aseem A, Kauser H, Hussain ME. Non-action Video Game Training Ameliorates Cognitive Decline Associated with Sleep Disturbance. Sleep and Vigilance 2018 Dec 1; 2(2): 157–165.
  19. 19. Lee HJ, Kim L, Kim YK, Suh KY, Han J, Park MK, Park KW, Lee DH. Auditory event-related potentials and psychological changes during sleep deprivation. Neuropsychobiology 2004; 50(1): 1–5.
  20. Chatterjee A, Ray K, Panjwani U, Thakur L, Anand JP. Meditation as an intervention for cognitive disturbances following total sleep deprivation. The Indian Journal of Medical Research 2012 Dec; 136(6): 1031.
  21. Collerton J, Collerton D, Arai Y, Barrass K, Eccles M, Jagger C, McKeith I, Saxby BK, Kirkwood T. A Comparison of Computerized and PencilandPaper Tasks in Assessing Cognitive Function in CommunityDwelling Older People in the Newcastle 85+ Pilot Study. Journal of the American Geriatrics Society. 2007 Oct 1; 55(10): 1630–1635.
  22. Robbins TW, James M, Owen AM, Sahakian BJ, McInnes L, Rabbitt P. Cambridge Neuropsychological Test Automated Battery (CANTAB): a factor analytic study of a large sample of normal elderly volunteers. Dementia and Geriatric Cognitive Disorders 1994; 5(5): 266–281.
  23. Duncan-Johnson CC, Donchin E. The P300 component of the event-related brain potential as an index of information processing. Biological Psychology 1982 Feb 1; 14(1-2):
  24. Lee S, Kim GJ, Lee J. Observing effects of attention on presence with fMRI. In Proceedings of the ACM symposium on Virtual reality software and technology 2004 Nov 10
    (pp. 73–80). ACM.
  25. Hanagasi HA, Gurvit IH, Ermutlu N, Kaptanoglu G, Karamursel S, Idrisoglu HA, Emre M, Demiralp T. Cognitive impairment in amyotrophic lateral sclerosis: evidence from neuropsychological investigation and event-related potentials. Cognitive Brain Research 2002 Aug 1; 14(2): 234–244.
  26. Hansch EC, Syndulko K, Cohen SN, Goldberg ZI, Potvin AR, Tourtellotte WW. Cognition in Parkinson disease: An eventrelated potential perspective. Annals of Neurology:
    Official Journal of the American Neurological Association and the Child Neurology Society. 1982 Jun;11(6): 599– 607.
  27. Polich J, Ladish C, Bloom FE. P300 assessment of early Alzheimer’s disease. Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section. 1990 May 1;
    77(3): 179–189.
  28. Polich J. P300 in the evaluation of aging and dementia. Electroencephalography and Clinical Neurophysiology. Supplement. 1991; 42: 304.
  29. Neves MD, Albuquerque MR, Neves FS, Lage GM, Malloy-Diniz L, Nicolato R, Corrêa H. Sensorimotor performance in euthymic bipolar disorder: the MPraxis (PennCNP) analysis. Revista Brasileira de Psiquiatria 2014 Sep; 36(3): 248–250.
  30. Gous L. An exploratory study of Novelty Seeking tendencies and students’ performance on executive functioning tasks 2013 (Doctoral dissertation, University of Pretoria).
  31. Fjell AM, Walhovd KB. P300 and neuropsychological tests as measures of aging: scalp topography and cognitive changes. Brain Topography 2001 Sep 1; 14(1): 25–40.
  32. Kutas M, McCarthy G, Donchin E. Augmenting mental chronometry: the P300 as a measure of stimulus evaluation time. Science 1977 Aug 19; 197(4305): 792–795.
  33. McCarthy G, Donchin E. A metric for thought: a comparison of P300 latency and reaction time. Science 1981 Jan 2; 211(4477): 77–80.
  34. Hyman R. Stimulus information as a determinant of reaction time. Journal of Experimental Psychology 1953 Mar; 45(3): 188.
  35. Magliero A, Bashore TR, Coles MG, Donchin E. On the dependence of P300 latency on stimulus evaluation processes. Psychophysiology 1984 Mar 1; 21(2): 171– 186.
  36. Parra M, Ascencio L, Urquina H, Manes F, Ibanez A. P300 and neuropsychological assessment in mild cognitive impairment and Alzheimer dementia. Frontiers in Neurology
    2012 Dec 5; 3: 172.
  37. Buelow MT, Okdie BM, Cooper AB. The influence of video games on executive functions in college students. Computers in Human Behavior 2015 Apr 1; 45: 228–234.