Effects of correct and wrong answers on ERPs recorded under conditions of the continuous performance test in ADHD/normal participants
Parameters of event-related potentials (ERPs) regarding correct and wrong answers under conditions of the continuous performance test (CPT) were measured in 50 adult subjects with the absence/presence of attention deficit/hyperactivity disorders (ADHD) and characterized by different levels of sustai...
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irk-123456789-683502014-09-22T03:01:59Z Effects of correct and wrong answers on ERPs recorded under conditions of the continuous performance test in ADHD/normal participants Ghassemi, F. Moradi, M.H. Tehrani-Doost, M. Abootalebi, V. Parameters of event-related potentials (ERPs) regarding correct and wrong answers under conditions of the continuous performance test (CPT) were measured in 50 adult subjects with the absence/presence of attention deficit/hyperactivity disorders (ADHD) and characterized by different levels of sustained attention. For ERP extraction, the average for each group of signals, which were time-locked to the onset of stimuli, was calculated; two ERP groups were considered separately for correct and wrong answers. In both groups, the P300 wave was clearly observed. The time dynamics of ERP components were investigated in six defined time blocks. At the peak of P300, a prominent component of brain activity could be observed. Some ERP morphological features (704 items) were extracted from these potentials. The results indicated that 11 of the obtained features had a significant (P<0.01) relation to the level of sustained attention. When comparing correct and wrong answers, 10 features in the normal group and 3 features in the ADHD group demonstrated significant differences (P < 0.05), which means that the participant’s response is reflected in the features of EEG signal. The results reveal a promising relation between CPT results and some parameters of brain signals, which can be used for further evaluations of the sustained attention level. Параметри пов’язаних з подією ЕЕГ-потенціалів (ППП) вимірювали у 50 дорослих тестованих з відсутністю (норма) та наявністю синдрому дефіциту уваги й гіперактивності (АDНD), котрі демонстрували різні градації рівня підтримуваної уваги. Враховували правильність і помилковість відповідей в умовах тесту безперервного виконання (continuous performance test, CPT). Щоб описати ППП, розраховували середні значення для кожної групи сигналів, «прив’язаних» до моменту пред’явлення стимулу. Було виділено дві окремі групи ППП, відповідно до вірних та помилкових відповідей. Хвиля Р300 була чітко представлена в обох групах ППП. Часова динаміка компонентів ППП була досліджена в межах шести ізольованих часових блоків. Пік Р300 віддзеркалював чітко виражений компонент церебральної активності. У складі ППП було виділено низку морфологічних особливостей (усього 704 риси). Виявилося, що 11 з таких рис вірогідно (P < 0.01) корелювали з рівнем постійної уваги. При порівнянні ППП, пов’язаних з вірними та хибними відповідями, істотні відмінності демонстрували 10 рис у групі норми та три риси в групі АDНD (P < 0.05). Це свідчить про те, що характер відповіді тестованого певним чином віддзеркалюється в патерні ЕЕГ-сигналу. Отримані дані вказують на наявність зв’язку між результатами СРТ і деякими параметрами ЕЕГ-сигналів. Це може бути використано для об’єктивної оцінки рівня підтримуваної уваги. 2010 Article Effects of correct and wrong answers on ERPs recorded under conditions of the continuous performance test in ADHD/normal participants / F. Ghassemi, M.H. Moradi, M. Tehrani-Doost, V. Abootalebi // Нейрофизиология. — 2010. — Т. 42, № 3. — С. 255-262. — Бібліогр.: 30 назв. — англ. 0028-2561 http://dspace.nbuv.gov.ua/handle/123456789/68350 612.822:547.918 en Нейрофизиология Інститут фізіології ім. О.О. Богомольця НАН України |
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Parameters of event-related potentials (ERPs) regarding correct and wrong answers under conditions of the continuous performance test (CPT) were measured in 50 adult subjects with the absence/presence of attention deficit/hyperactivity disorders (ADHD) and characterized by different levels of sustained attention. For ERP extraction, the average for each group of signals, which were time-locked to the onset of stimuli, was calculated; two ERP groups were considered separately for correct and wrong answers. In both groups, the P300 wave was clearly observed. The time dynamics of ERP components were investigated in six defined time blocks. At the peak of P300, a prominent component of brain activity could be observed. Some ERP morphological features (704 items) were extracted from these potentials. The results indicated that 11 of the obtained features had a significant (P<0.01) relation to the level of sustained attention. When comparing correct and wrong answers, 10 features in the normal group and 3 features in the ADHD group demonstrated significant differences (P < 0.05), which means that the participant’s response is reflected in the features of EEG signal. The results reveal a promising relation between CPT results and some parameters of brain signals, which can be used for further evaluations of the sustained attention level. |
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Ghassemi, F. Moradi, M.H. Tehrani-Doost, M. Abootalebi, V. |
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Ghassemi, F. Moradi, M.H. Tehrani-Doost, M. Abootalebi, V. Effects of correct and wrong answers on ERPs recorded under conditions of the continuous performance test in ADHD/normal participants Нейрофизиология |
author_facet |
Ghassemi, F. Moradi, M.H. Tehrani-Doost, M. Abootalebi, V. |
author_sort |
Ghassemi, F. |
title |
Effects of correct and wrong answers on ERPs recorded under conditions of the continuous performance test in ADHD/normal participants |
title_short |
Effects of correct and wrong answers on ERPs recorded under conditions of the continuous performance test in ADHD/normal participants |
title_full |
Effects of correct and wrong answers on ERPs recorded under conditions of the continuous performance test in ADHD/normal participants |
title_fullStr |
Effects of correct and wrong answers on ERPs recorded under conditions of the continuous performance test in ADHD/normal participants |
title_full_unstemmed |
Effects of correct and wrong answers on ERPs recorded under conditions of the continuous performance test in ADHD/normal participants |
title_sort |
effects of correct and wrong answers on erps recorded under conditions of the continuous performance test in adhd/normal participants |
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Інститут фізіології ім. О.О. Богомольця НАН України |
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2010 |
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http://dspace.nbuv.gov.ua/handle/123456789/68350 |
citation_txt |
Effects of correct and wrong answers on ERPs recorded under conditions of the continuous performance test in ADHD/normal participants / F. Ghassemi, M.H. Moradi, M. Tehrani-Doost, V. Abootalebi // Нейрофизиология. — 2010. — Т. 42, № 3. — С. 255-262. — Бібліогр.: 30 назв. — англ. |
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Нейрофизиология |
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НЕЙРОФИЗИОЛОГИЯ / NEUROPHYSIOLOGY.—2010.—T. 42, № 3 255
UDC 612.822:547.918
F. GHASSEMI1, M. H. MORADI1, M. TEHRANI-DOOST2,3,
and V. ABOOTALEBI4
EFFECTS OF CORRECT AND WRONG ANSWERS ON ERPs RECORDED UNDER
CONDITIONS OF THE CONTINUOUS PERFORMANCE TEST IN ADHD/NORMAL
PARTICIPANTS
Received 19.05.10
Parameters of event-related potentials (ERPs) regarding correct and wrong answers under
conditions of the continuous performance test (CPT) were measured in 50 adult subjects
with the absence/presence of attention deficit/hyperactivity disorders (ADHD) and charac-
terized by different levels of sustained attention. For ERP extraction, the average for each
group of signals, which were time-locked to the onset of stimuli, was calculated; two ERP
groups were considered separately for correct and wrong answers. In both groups, the P300
wave was clearly observed. The time dynamics of ERP components were investigated in six
defined time blocks. At the peak of P300, a prominent component of brain activity could be
observed. Some ERP morphological features (704 items) were extracted from these poten-
tials. The results indicated that 11 of the obtained features had a significant (P<0.01) relation
to the level of sustained attention. When comparing correct and wrong answers, 10 features
in the normal group and 3 features in the ADHD group demonstrated significant differences
(P < 0.05), which means that the participant’s response is reflected in the features of EEG
signal. The results reveal a promising relation between CPT results and some parameters of
brain signals, which can be used for further evaluations of the sustained attention level.
Keywords: continuous performance test, event-related potentials, feature extraction,
wave P300, sustained attention.
1 Amirkabir University of Technology, Tehran, Iran
2 Tehran University of Medical Science, Tehran, Iran
3 Institute for Cognitive Science Studies (ICSS), Tehran, Iran
4 Yazd University, Yazd, Iran
Correspondence should be addressed to M. H. Moradi
(e-mail: mhmoradi@aut.ac.ir).
INTRODUCTION
The continuous performance test (CPT) [1, 2] is among
the most popular tests for evaluating the sustained
attention. Shifts of the latter are the core deficit in
the attention deficit/hyperactivity disorders (ADHD).
Sustained attention is defined as the ability of a subject
to maintain consistent behavioral responses during
continuous and repetitive processing of the stimuli
whose non-arousing qualities would otherwise lead to
habituation and distraction to other stimuli [3, 4].
Recording and analysis of event-related EEG
potentials (ERPs) are the informative means for
noninvasive monitoring of a few brain functions
including cognitive ones. Therefore, examination of
these potentials is considered one of the adequate
approaches in many neuroscience studies and clinical
applications, in particular in the cases of schizophrenia
[5], dementia [6], and ADHD [7-9]. Results of a recent
research [10] suggest that brain-based objective
cognitive measures can support clinical decisions in
the case of ADHD and improve the sensitivity and
specificity of such decisions.
The wave P300 is an obvious cognitive component in
ERPs, which may be achieved through an experimental
oddball paradigm. Several studies have investigated
cognitive ERPs and especially P300 in children
diagnosed with ADHD. A decrement in the amplitude of
P300 generated in response to both auditory and visual
stimuli was reported for ADHD-suffering children [8, 11,
14]. The results obtained in ERP studies using different
versions of the CPT confirmed the existence of such a
decrement and indicated that adequate medication can
lead to an increase in the amplitude of P300 [8].
Although a variety of studies were dedicated to the
ERP components in ADHD children, only a few re-
searches have investigated ADHD in adults. A study
considering the level of sustained attention in normal
adults during the CPT allowed an experimenter to in-
vestigate whether a central inhibitory mechanism in-
НЕЙРОФИЗИОЛОГИЯ / NEUROPHYSIOLOGY.—2010.—T. 42, № 3256
F. GHASSEMI, M. H. MORADI, M. TEHRANI-DOOST, and V. ABOOTALEBI
tervenes to prevent the preparation and/or execution
of a motor response. It was found that the N200 com-
ponent was detectable in the no-go trials, while the
P300 demonstrated specific scalp distributions related
to the trial type [15]. Makeig et al. [16] studied ear-
ly and late ERP components during the state of visual
spatial attention. Their attempts resulted in the deve-
lopment of a robust and useful software for investigat-
ing EEG phenomena called EEGLAB [17, 18].
The approach we have pursued in our previous stud-
ies was to classify an adult population (including both
ADHD and normal participants) according to three le-
vels of attention. A promising accuracy (above 80%) was
acquired [19, 20] encouraging us to increase the number
of classes for further studies. In this study, we examined
the ERP components considering correct and wrong an-
swers during the CPT within an adult population cha-
racterized by five different levels of sustained attention.
We also investigated the time dynamics of ERP compo-
nents within different time blocks of the test.
METHODS
Participants. The examined group included 50 volunteers.
The mean age of the participants was 29.78 ± 6.15 (M ±
± s.d.) years. Twenty six (52 %) subjects were women.
All participants were examined for handedness using
the Edinburgh test, and they, with no exceptions, were
dextrals. They had normal or corrected to normal vision
and were checked for color-blindness by the Ishihara
test, which revealed that two participants were color-
blind. According to the interview by a psychiatrist, ten
drag-naive participants were diagnosed to have ADHD
(inattention sub-type) based on the Diagnostic and
Statistical Manual of Mental Disorders, Fourth edition
(DSM-IV) [21]. The diagnosis was confirmed with the
results of the self-report screening form of the Conners
Adult ADHD Rating Scale (CAARS-S: SV) [22]. Other
participants had no considerable psychiatric or medical
disorders. The experiment was conducted in accordance
with the Declaration of Helsinki. Also the review board of
the Institute for Cognitive Science Studies (ICSS) revised and
approved the experimental protocol. The main characteristics
of the participants are summarized in Table 1.
CPT Task. The second version of the Conners’
CPT [2] was used in this study, which is a “no-go”
CPT task. Different letters of the English alphabet
were presented randomly on the monitor screen, and
participants were asked to click the left mouse button
with the index finger of their dominant hand when any
letter except for the target “X” appeared. Participants
were instructed to respond as fast as they could, but
also as accurate as possible. The six considerations of
the proper protocol of the CPT were observed [2].
There were six blocks, with three sub-blocks in
each containing 20 trials. Therefore, the experimental
set involved 360 stimuli, 36 X letters (no-go stimuli)
and 324 other letters (go stimuli). The interstimulus
intervals (ISIs) were 1, 2, or 4 sec with a display time
of 250 msec.
The participants seated on a comfortable chair with
a place for relaxing the head. The test was performed
in a quiet and dimly-lit room. The distance between
the participant’s eyes and a 19-inch monitor was 75 ±
± 5 cm depending on the height of the tested person.
The letters were 7.5 cm high and 7 cm wide, which
resulted in a 7 deg visual angle. They appeared white-
colored on the black background. A short practice test
(70 sec) was performed before conducting the full
test, to ensure that the participant has fully understood
the task. Each test took approximately 14 min to be
completed. Twelve different measures are provided in
the CPT II [2]:
Omissions: The number of non-targets to which the
participant did not respond.
T a b l e 1. Characteristics of the Participants
Т а б л и ц я 1. Характеристики учасників
Level of sustained
attention
Level 1
(n=10)
Level 2
(n=8)
Level 3
(n=9)
Level 4
(n=13)
Level 5
(n=10)
Total
(n = 50)
Age, mean ± s.d.,
years
27.1±6.2 31.5±5.7 30±4.8 30.6±6 29.8±6.4
29.78±6.1529.78 ± 6.1 (Normal) 29.8±6.4 (ADHD)
Sex (men/women) 10/0 7/1 3/6 1/12 3/7
24.2621/19 (Normal) 3/7 (ADHD)
Footnote. The characteristics of 50 volunteers participated in the test are shown. Level 1 includes participants with the best level of
sustained attention, while level 5 corresponds to participants with the lowest attention level. The ADHD classification (level 5) is based
on the psychiatrist’s interview (according to DSM-IV) and confirmed with the CAARS-S: SV questionnaire. The normal classification is
based on the CPT results.
НЕЙРОФИЗИОЛОГИЯ / NEUROPHYSIOLOGY.—2010.—T. 42, № 3 257
EFFECTS OF CORRECT AND WRONG ANSWERS ON ERPs
Commissions: The number of times the participant
erroneously responded to the target (“X”).
Hit Reaction Time (HRT): The mean response time
for all non-X responses over all six time blocks.
HRT Standard Error (HRT s.e.): The standard error
for the responses to non-X stimuli.
Variability of s.e.: The standard deviation of the 18
standard error values calculated for each sub-block.
Attentiveness (d’): The difference between the
signal (non-X) and noise (X) distributions.
Perseveration: A response that occurs with a delay
shorter than 100 msec following presentation of the
stimulus.
HRT Block Change: The slope of change in the
reaction time over the six time blocks.
Hit s.e. Block Change: The slope of change in the
reaction-time standard errors over the six time blocks.
HRT ISI Change: The slope of change in the reaction
times over the three ISIs (1, 2 and 4 sec).
Hit s.e. ISI Change: The slope of change in the
reaction-time standard errors over the three ISIs.
In this study, the participants were classified
according to five levels of attention. Level 1 was
dedicated to the participants with the highest level of
attention, and level 5 corresponded to the participants
with ADHD who was diagnosed by a psychiatrist
based on DSM-IV classification and confirmed with
the CAARS questionnaire. Normal participants were
classified to four groups based on the results of the
CPT interpreted by a specialist according to the
CPT manual [2]. The characteristics of participants
according to each level are summarized in Table 1.
EEG Recordings. The EEG activity was recorded
by 19 Ag/AgCl electrodes mounted in an electrode
cap and placed according to the international 10-20
standard. The impedance of all electrodes was kept
below 5 kΩ. The average of A1 and A2 was used as the
reference. A bipolar vertical EOG was also recorded.
Two additional bipolar channels were used for
synchronization of the CPT system with EEG signals
and recording of the participants’ responses. A 32-
channel AC/DC amplifier (Walter Graphtek, Germany)
was used for data recording, and Pl-Winsor 3.0
software was used for data acquisition. The amplifier
bandpass was 0.05-100 Hz, and a 50 Hz notch filter
was used for line noise reduction. The sampling rate
was 200 sec–1.
ERP Extraction. Data were analyzed using MATLAB
2009a software (MathWorks, USA). A suitable band-
pass filter (0.1 to 85 Hz) and a notch filter at 50 Hz were
used to eliminate movement artifacts and to suppress
the remaining line noise, respectively. The independent
component analysis (ICA) was used for canceling EOG
artifacts [23-25]. The ICA is referred to the separation of
independent sources, which are mixed together with an
unknown matrix, i.e., a mixing system and source signals
T a b l e 2. Differences between the parameters of ERP components related to correct (C) and wrong (W) answers
Т а б л и ц я 2. Різниці між параметрами ППП у випадках вірних (С) та хибних (W) відповідей
Group Difference LP3 LN2 LP32 LP3N2 LP2N2 LP3N4 AN2 AP4 AP34 AP2N2 AP4N4
ADHD C–W 63.5* –19.5 –68.5* –44* 24.5 –53.5 9.3 –8.1 13.7 –7.3 –1.2
Normal C–W –59* –38.5* –44.6* –20.5 24.1 * –57.5* 9.6* –9* 13.4* –10.5* –7.2 *
Footnote. L and A are the peak latency, msec, and amplitude, µV. Some of the extracted features in correct and wrong answers are compared.
Significantly different features are marked in the ADHD and normal groups by asterisks (* P<0.05). Values indicate the differences
(CX–WX) between the average of related parameters in correct and wrong answers.
T a b l e 3. Significant Correlated Features in Terms of the Sustained Attention Level
Т а б л и ц я 3. Вірогідні кореляції з рівнем підтримуваної уваги
LP4N4CX(B32) LP3N4WX(B65) LP32WX(B54) LN4WX(B65) LN2WX(B6) LP2WX(B6)
R -0.4995 -0.4116 -0.4019 0.3872 0.3828 0.3828
P 0.0002 0.003 0.0038 0.0055 0.0061 0.0061
AP3N4WX(B65) LN4WX(B6) AP2N2WX(B54) LP3WX(B54) LP4WX(B54)
R 0.3805 0.3769 -0.3736 -0.3736 -0.3702
P 0.0064 0.007 0.0075 0.0075 0.0081
Footnote. The mentioned features demonstrated significant (P < 0.01) correlations with five levels of sustained attention. Correlation
coefficients and P values are indicated for the above features.
НЕЙРОФИЗИОЛОГИЯ / NEUROPHYSIOLOGY.—2010.—T. 42, № 3258
F. GHASSEMI, M. H. MORADI, M. TEHRANI-DOOST, and V. ABOOTALEBI
are both unknown [26]. A combination of the efficient
variant of fast ICA (EFICA) and efficient weights adjusted
SOBI (EWASOBI) was chosen as the ICA method and
realized using ICALAB software [27]. EOG components
were automatically recognized by calculating correlation
between the recorded EOG and all achieved components
by ICA. The component with a correlation coefficient
greater than 0.8 and with the P value below 0.01 was
determined as the EOG component. This component was
eliminated, and then all other components were back-
projected to their initial space.
For the epoch extraction, periods from 200 msec
before to 1000 msec after the stimuli onset were
considered. Four groups of ERPs were considered
for each signal. These were potentials related to the
target stimuli (X), non-target stimuli (nX), correct
answers to the target stimuli (CX, which is the X that
participant did not respond), and wrong answers to the
target stimuli (WX). Extracted epochs in each group,
which were time-locked to the stimulus onset, were
averaged to calculate the ERP parameters.
One of the main differences of sustained attention
from other kinds of attention is the time factor. In
order to investigate the ERP changes in time, six time
windows were selected. Each window was 155 sec
long and contained three different ISI sub-blocks. The
length of the window was calculated in such a way
that all blocks contained the same number of targets.
Therefore, each block included 6 target stimuli and 54
non-target ones for each participant.
Feature Extraction. The P300 wave (also known as
P3, or P3b) is a large positive component that typically
peaks about 300 msec or more after the onset of a rare
task-relevant stimulus [11-13]. The P300 window was
selected at 300 to 650 msec after the stimulus onset
[11, 12, 28, 29]. Based on previous studies, the P300
demonstrates a centro-parietal scalp distribution that is
maximal over the midline scalp sites [11, 12, 28]. Thus,
the Cz-channel signals were considered for the analysis
in this study. The amplitude of P300 was measured as
a difference between the mean pre-stimulus baseline
voltage and the largest positive-going peak of the ERP
waveform within the time window [12].
In addition to P300, four other components were
defined and extracted from the ERPs observed. These
were positive and negative peaks before and after the
P300 called P200, N200, P400, and N400, respectively
[11, 12, 28-30].
The amplitude and latency were computed for these
five components in each ERP group. Also, six relative
components were defined by distracting the regarded
values of two components (P34, P32, P3N2, P2N2,
P4N4, P3N4, where, e.g., P32 means P300-P200).
These components were compared in ERPs related
to correct and wrong answers. The differences were
considered to be significant if the evaluated P values
(t-test) were smaller than 0.05.
The defined features were calculated in the total
signal, each of the six time blocks (B1 to B6) and nine
relative blocks (B21, B32, B43, B54, B65, B31, B41,
B51, B61). Therefore, 704 features were obtained
(2 parameters × 11 components × 2 (CX/WX ERP) ×
× 16 blocks). To investigate the relation between these
features and CPT results, Pearson correlation was
obtained between the level of sustained attention and
the extracted ERP features.
RESULTS
Characteristics of the 50 participants are shown in Table
1. Considering only ADHD/normal classification, the
mean age in the normal group was 29.78 ± 6.1 years,
which practically coincided with that in the ADHD
group (29.8±6.4 years). In the normal group, 47.5%
of the population were men, while in the ADHD group
the respective proportion was 70%.
Four groups of ERPs (X, nX, CX, and WX) are
illustrated in Fig. 1. This figure represents the ERPs
for a typical participant in section A and grand average
ERPs for all participants, all normal participants,
and all ADHD participants in sections B, C, and D
respectively. The ERPs were smoothed with a 12 Hz
low-pass filter. The detected P300 peaks are marked
with filled circles. The amplitude and latency of the
P300 wave in a grand average of X ERPs were 32 µV
and 435 msec, while the mean amplitude of P300 in
nX ERPs was 10 µV. When comparing ERPs related to
correct and wrong answers, the P300 amplitudes were
35 and 28.5 µV, respectively, while the values for the
latencies were 415 and 475msec.
Quantitative analysis of ERP variations in the groups
related to correct and wrong answers was provided by
performing the t-test on 22 extracted features from the
ERP (2 parameters × 11 components in the total signal).
Table 2 compares some of the extracted features related
to correct and wrong answers where ADHD and normal
groups were considered separately. It should be noted
that only values with significant differences (P <0.05)
in two groups are shown. Symbols “A” and “L” are
used for the amplitude and latency, respectively. The
mentioned subscript indicates the related absolute
НЕЙРОФИЗИОЛОГИЯ / NEUROPHYSIOLOGY.—2010.—T. 42, № 3 259
EFFECTS OF CORRECT AND WRONG ANSWERS ON ERPs
or relative component. For example, LP3N2 means a
difference between the latencies of P300 and N200.
In order to study the P300 component variations
with time, six time windows were considered. Figure 2
demonstrates the computed ERPs. At the first row, ERP
groups, which were averaged for all 50 participants in
each block, are shown. To investigate the time dynamics
of the components, topomaps for the P300 peaks were
provided. The middle row of Fig. 2 demonstrates the
topomaps for grand-average CX ERP (correct answers
to target stimuli) at the peak of the P300 component.
At this moment, most of the scalp electrodes recorded
an evident positivity. Topomaps regarded to WX ERP
(wrong answers to target stimuli, where the participant
erroneously clicked to the presentation of X) are
demonstrated at the last row. Topomaps provided in
this figure are created by EEGLAB software [34-35].
Although there were small changes between the blocks, a
stable activity pattern could be observed in all blocks.
In the next step, Pearson correlations were calculated
between the levels of sustained attention and defined
ERP features. The P values for 63 features were below
0.05, while 11 of them, as is indicated in Table 3, had
P values smaller than 0.01. The greatest correlation
coefficient was –0.4995. It belonged to LP4N4CX(B32),
i.e., to the difference between the latencies of P400
and N400 in CX ERPs when comparing the third block
with the second block.
DISCUSSION
Figures 1C and 1D indicate that there is an obvious
specificity of the P300 component for target stimuli
(X ERP) compared to that fore non-target stimuli
(non-X ERP) in both normal and ADHD groups,
which is in complete agreement with the data of
previous studies [11-13, 19-20]. An interesting result
is that the appearance of P300 for target stimuli was
irrespective to the participant’s answers. This finding
was observed not only in the grand average ERP but
also in every individual normal or ADHD participant,
which could be due to the characteristics of the task
and the rareness of target stimuli caused by the proper
ratio of target vs total stimuli (1 to 10).
It is noteworthy that, in the normal group, the peak
Fig. 1. Four different groups of ERPs (X, nX, CX, and WX, 1–4, respectively) are presented on distinct graphs for one typical participant
(A), grand average of all participants (B), grand average of normal participants (C), and that of ADHD participants (D). The P300 peaks
are marked with filled circles.
Рис. 1. Чотири групи ППП (X, nX, CX та WX) у одного з тестованих (А), а також аналогічні ППП, усереднені для вісх тестованих
(В), групи норми (С) та групи ADHD (D).
A
–200 –2000 0200 200400 400600 600800 8001000
50
30
60
70
20
40
50
10
20
30
0 0
10
–10 –20
–10
40
40
30
30
20
10
20
10
0
0
–10
–10
1000
C
B
D
1
2
3
μV μV
msec
4
НЕЙРОФИЗИОЛОГИЯ / NEUROPHYSIOLOGY.—2010.—T. 42, № 3260
F. GHASSEMI, M. H. MORADI, M. TEHRANI-DOOST, and V. ABOOTALEBI
B
lo
ck
1
B
lo
ck
1
40
40
40
40
40
40
20
20
20
20
20
20
0
0
0
0
0
0
–2
0
–2
0
–2
0
–2
0
–2
0
–2
0
0
0
0
0
0
0
50
0
50
0
50
0
50
0
50
0
50
0
10
00
10
00
10
00
10
00
10
00
10
00
37
.1
37
.1
18
.5
18
.5
0 0–1
8.
5
–1
8.
5
–3
7.
1
–3
7.
1
B
lo
ck
1
B
lo
ck
2
B
lo
ck
2
B
lo
ck
2
B
lo
ck
3
B
lo
ck
3
P3
00
T
ot
al
in
C
X
B
lo
ck
s
P3
00
T
ot
al
in
W
X
B
lo
ck
s
B
lo
ck
3
B
lo
ck
4
B
lo
ck
4
B
lo
ck
4
B
lo
ck
5
B
lo
ck
5
B
lo
ck
5
B
lo
ck
6
B
lo
ck
6
B
lo
ck
6
Fi
g.
2
. T
im
e
an
d
sp
at
ia
l d
yn
am
ic
s
of
th
e
P3
00
w
av
e
du
rin
g
th
e
C
PT
te
st
is
il
lu
st
ra
te
d;
s
ix
ti
m
e
w
in
do
w
s
ar
e
co
ns
id
er
ed
. E
ac
h
w
in
do
w
is
1
55
s
ec
lo
ng
. I
n
se
ct
io
n
1,
g
ra
nd
av
er
ag
e
ER
Ps
in
e
ac
h
bl
oc
k
ar
e
sh
ow
n
in
X
, n
on
-X
, c
or
re
ct
-a
ns
w
er
ed
(
C
X
),
an
d
w
ro
ng
-a
ns
w
er
ed
(
W
X
)
gr
ou
ps
. T
op
og
ra
m
s
at
P
30
0
pe
ak
s
in
e
ac
h
bl
oc
k
(c
ol
um
ns
)
ar
e
de
m
on
st
ra
te
d
fo
r c
or
re
ct
a
ns
w
er
s
(s
ec
tio
n
2)
a
nd
w
ro
ng
a
ns
w
er
s
(s
ec
tio
n
3)
. E
EG
LA
B
s
of
tw
ar
e w
as
u
se
d
fo
r p
ro
vi
di
ng
th
e
la
st
tw
o
ro
w
s.
Ри
с.
2
. Ч
ас
ов
а
та
п
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ст
ор
ов
а
ди
на
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ка
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лі
P
30
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т
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та
C
PT
1
µV
m
se
c
2 3
НЕЙРОФИЗИОЛОГИЯ / NEUROPHYSIOLOGY.—2010.—T. 42, № 3 261
EFFECTS OF CORRECT AND WRONG ANSWERS ON ERPs
of P300 in correctly answered targets was greater in its
amplitude and shorter in its latency compared to that
related to the wrong answers. Investigating the ADHD
group separately revealed that the latency of P300 was
still shorter for correct answers, but the amplitude was
smaller in comparison with that related to the wrong
answers. The difference in the latency of P300 between
the correct and wrong answers was significant (P <
< 0.05) in both normal and ADHD groups.
Comparing the ERPs in the groups of correct
and wrong answers revealed that some features are
significantly different in both normal and ADHD
groups. This finding means that there is a significant
difference in the ERP components of the participants
between the correct and wrong answer groups.
For the normal group of subjects, five significant
features were related to the amplitude, and five were
related to the latency. The LP3, AP4, LP32, LN2, AP2N2,
AP4N4, and LP3N4 were significantly larger in the wrong
group of answers, while the AP34, AN2 and LP2N2 were
larger in correct answers. The largest difference in
the average amplitude was 13.4 µV, and it was related
to AP34, while the biggest difference in the average
latency was 59 msec for LP3.
For the ADHD group, only the differences in the
latencies were significant. These features were all
related to P300 (P3, P32, and P3N2). In all cases,
the latency of this wave in wrong-answer ERPs was
greater than in correct answers. The largest difference
in the mean latency was 68.5 msec for LP32.
In order to analyze the time dynamics of the
components during a sustained attention task, the
ERP parameters were calculated within different time
blocks. The ERPs plotted in the first row of Fig. 2
were computed for electrode Cz, and the manifested
dynamics in the ERP could be traced in the Cz electrode
of the provided topomaps in the middle and last rows
of Fig. 2. At the peak of P300, a prominent component
of the brain activity could be observed in both correct-
and wrong-answer groups. This activity lasts in all
blocks in a stable good-shaped pattern, especially for
correct answers, as shown in Fig. 2.
Results of calculation of Pearson correlation revealed
that there is a significant relation (P<0.01) between the
level of sustained attention and 11 extracted features
of ERPs. The best feature correlation coefficient was
–0.4995, and it was related to the correct answers,
while other ten features were related to wrong
answers. Nine of them were regarded to the latency
where first three of them were on relative components
(distracting two components) and other six were on
absolute components. The two features related to the
amplitude were both on relative components between
positive and negative peaks.
If to summarize the above data and considerations,
the components of ERPs regarding the correct and
wrong answers have been evaluated and compared,
while adult participants performed a sustained
attention-related task. Patterns of cerebral activity
at the P300 peak show that there is a well pseudo-
symmetric pattern of activity in the brain during the
appearance of P300. Normal and ADHD groups were
investigated separately; this comparison revealed that
10 features in the normal group and 3 features in the
ADHD group demonstrated significant differences
(P <0.05) depending on correct and wrong answers.
The significant correlation between the CPT results
and many of the extracted features validates the
implementation of the measurement of ERP features
for further studies of the sustained attention level.
Acknowledgment
The authors are thankful to the Institute for Cognitive
Science Studies (ICSS) for their help with providing the EEG
laboratory for performing the tests. They appreciate Dr. Anahita
Khorrami and Eng. Amin Mohammadian for their assistance
in designing the protocol and conducting the test for some
participants. The authors also thank all participants for their
contribution in this study.
Ф. Гассемі1, М. Х. Мораді1, М. Техрані-Доос1,3,
В. Абуталебі4
ВПЛИВ ПРАВИЛЬНОСТІ Й ПОМИЛКОВОСТІ
ВІДПОВІДЕЙ НА ПОВ’ЯЗАНІ З ПОДІЄЮ ПОТЕНЦІАЛИ,
ВІДВЕДЕНІ В УМОВАХ ТЕСТУ БЕЗПЕРЕРВНОГО
ВИКОНАННЯ У ТЕСТОВАНИХ З ВІДСУТНІСТЮ/
НАЯВНІСТЮ СИНДРОМУ ДЕФІЦИТУ УВАГИ Й
ГІПЕРАКТИВНОСТІ
1 Технологічний університет Аміркабір, Тегеран (Іран).
2 Тегеранський медичний університет (Іран).
3 Інститут досліджень пізнавальної здатності, Тегеран
(Іран).
4 Університет Йєзда (Іран).
Р е з ю м е
Параметри пов’язаних з подією ЕЕГ-потенціалів (ППП)
вимірювали у 50 дорослих тестованих з відсутністю
(норма) та наявністю синдрому дефіциту уваги й
гіперактивності (АDНD), котрі демонстрували різні градації
рівня підтримуваної уваги. Враховували правильність і
помилковість відповідей в умовах тесту безперервного
виконання (continuous performance test, CPT). Щоб описати
ППП, розраховували середні значення для кожної групи
сигналів, «прив’язаних» до моменту пред’явлення стимулу.
Було виділено дві окремі групи ППП, відповідно до вірних
НЕЙРОФИЗИОЛОГИЯ / NEUROPHYSIOLOGY.—2010.—T. 42, № 3262
F. GHASSEMI, M. H. MORADI, M. TEHRANI-DOOST, and V. ABOOTALEBI
та помилкових відповідей. Хвиля Р300 була чітко пред-
ставлена в обох групах ППП. Часова динаміка компонентів
ППП була досліджена в межах шести ізольованих часових
блоків. Пік Р300 віддзеркалював чітко виражений компо-
нент церебральної активності. У складі ППП було виділено
низку морфологічних особливостей (усього 704 риси). Вия-
вилося, що 11 з таких рис вірогідно (P < 0.01) корелювали
з рівнем постійної уваги. При порівнянні ППП, пов’язаних
з вірними та хибними відповідями, істотні відмінності
демонстрували 10 рис у групі норми та три риси в групі
АDНD (P < 0.05). Це свідчить про те, що характер відповіді
тестованого певним чином віддзеркалюється в патерні ЕЕГ-
сигналу. Отримані дані вказують на наявність зв’язку між
результатами СРТ і деякими параметрами ЕЕГ-сигналів.
Це може бути використано для об’єктивної оцінки рівня
підтримуваної уваги.
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