Effects of the adhd syndrome on the frequency composition of ERPs revealed by independent component analysis
In this study, we investigated the frequency characteristics of independent components (ICs) of event-related potentials (ERPs) recorded in persons with attention deficit/hyperactivity disorder (ADHD) and normal adults under conditions of continuous performance test (CPT). A group of 50 participants...
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| Опубліковано в: : | Нейрофизиология |
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| Дата: | 2010 |
| Автори: | , , , |
| Формат: | Стаття |
| Мова: | Англійська |
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Інститут фізіології ім. О.О. Богомольця НАН України
2010
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Цитувати: | Effects of the adhd syndrome on the frequency composition of ERPs revealed by independent component analysis / F. Ghassemi, M.H. Moradi, M. Tehrani-Doost, V. Abootalebi // Нейрофизиология. — 2010. — Т. 42, № 6. — С. 510-515. — Бібліогр.: 25 назв. — англ. |
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Digital Library of Periodicals of National Academy of Sciences of Ukraine| _version_ | 1859526059863572480 |
|---|---|
| author | Ghassemi, F. Moradi, M.H. Tehrani-Doost, M. Abootalebi, V. |
| author_facet | Ghassemi, F. Moradi, M.H. Tehrani-Doost, M. Abootalebi, V. |
| citation_txt | Effects of the adhd syndrome on the frequency composition of ERPs revealed by independent component analysis / F. Ghassemi, M.H. Moradi, M. Tehrani-Doost, V. Abootalebi // Нейрофизиология. — 2010. — Т. 42, № 6. — С. 510-515. — Бібліогр.: 25 назв. — англ. |
| collection | DSpace DC |
| container_title | Нейрофизиология |
| description | In this study, we investigated the frequency characteristics of independent components (ICs) of event-related potentials (ERPs) recorded in persons with attention deficit/hyperactivity disorder (ADHD) and normal adults under conditions of continuous performance test (CPT). A group of 50 participants (10 ADHD subjects and 40 ones with no attention disorders) was examined. Independent component analysis was applied to the recorded signals. For ERP extraction, averages for each group of ICs, which were time-locked to the onset of stimuli, were calculated. Several frequency characteristics (704 items) were extracted from different ERPs in each IC. Eight features of the brain signals had a significant (P < 0.001) correlation with the participants’ clinical presentation, which is consistent with the results of previous studies. The revealed promising relation can be used for further evaluation of the sustained attention level.
У роботі вивчали частотні характеристики пов’язаних з подією ЕЕГ-потенціалів (ППП) у дорослих тестованих з наявністю синдрому дефіциту уваги й гіперактивності (ADHD) та його відсутністю (норма) в умовах тесту безперервного виконання (continuous performance test, CPT). Дослідження були проведені на 50 добровольцях (10 тестованих з наявністю ADHD і 40 практично здорових людей). Для вивчення ППП використовували методику незалежного компонентного аналізу. Середні величини для кожної групи незалежних компонентів (НК), „прив’язаних” до моменту пред’явлення стимулу, розраховували, щоб описати ППП. У кожному НК у складі різних ППП було виділено низку частотних особливостей (усього 704 риси). Як виявилося, вісім таких рис досліджуваних ППП вірогідно (P < < 0.001) корелювали з клінічними характеристиками тестованих, що узгоджується з результатами, отриманими в попередніх роботах. Наші дані можуть бути використані для об’єктивної оцінки рівня підт римуваної уваги.
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| first_indexed | 2025-11-25T22:19:28Z |
| format | Article |
| fulltext |
НЕЙРОФИЗИОЛОГИЯ / NEUROPHYSIOLOGY.—2010.—T. 42, № 6510
UDC 612.822:547.918
F. GHASSEMI1, M. H. MORADI1, M. TEHRANI-DOOST2,3, and V. ABOOTALEBI4
EFFECTS OF THE ADHD SYNDROME ON THE FREQUENCY COMPOSITION OF
ERPs REVEALED BY INDEPENDENT COMPONENT ANALYSIS
Received September 15, 2010.
In this study, we investigated the frequency characteristics of independent components (ICs)
of event-related potentials (ERPs) recorded in persons with attention deficit/hyperactivity
disorder (ADHD) and normal adults under conditions of continuous performance test (CPT).
A group of 50 participants (10 ADHD subjects and 40 ones with no attention disorders) was
examined. Independent component analysis was applied to the recorded signals. For ERP
extraction, averages for each group of ICs, which were time-locked to the onset of stimuli,
were calculated. Several frequency characteristics (704 items) were extracted from different
ERPs in each IC. Eight features of the brain signals had a significant (P < 0.001) correlation
with the participants’ clinical presentation, which is consistent with the results of previous
studies. The revealed promising relation can be used for further evaluation of the sustained
attention level.
Keywords: attention deficit/hyperactivity disorder (ADHD), continuous performance
test (CPT), event-related potentials (ERPs), feature extraction, frequency rhythms,
independent component analysis (ICA), 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 F. Ghassemi
(e-mail: ghassemi@aut.ac.ir).
INTRODUCTION
An attention deficit/hyperactivity disorder (ADHD)
syndrome is diagnosed in subjects having excessive
inattentiveness, hyperactivity, and impulsivity. This
disorder was primarily thought to be a problem limited
to children, teenagers, and youth. However, in recent
years, researchers have found that ADHD can often
be a chronic phenomenоn that persists into adulthood
[1, 2]. The deficiency of sustained attention, which
is the core symptom in ADHD, is defined as the
inability to maintain consistent behavioral responses
during continuous and repetitive processing of stimuli
whose non-arousing qualities would otherwise lead
to habituation and distraction by other stimuli [3,
4]. In a recent study [5], it was suggested that the
deficits of selective and sustained attention could
cause a significant impairment of early automatic
classification of the stimuli in ADHD subjects.
Another recent research [6] proposed that brain-
based cognitive measures can support clinical
decisions in ADHD cases and improve the sensitivity
and specificity of the respective conclusions.
Considering that event-related potentials (ERPs) are
informative means for noninvasive monitoring of the
brain functions, evaluation of these EEG phenomena
and their analysis are considered an effective
tool in neuroscience studies of such disorders, as
schizophrenia, dementia, and ADHD, and also in the
respective clinical applications [1, 2, 7, 8].
In several studies, ERPs and especially the P300
wave were investigated in children diagnosed with
ADHD. A decrement in the amplitude of P300
developed in response to both auditory and visual
stimuli was reported for ADHD children [7, 9, 10].
One of the popular tests for evaluating the level
of sustained attention and, hence, ADHD is the
continuous performance test (CPT) [11]. The results
of ERP studies within the framework of different
versions of the CPT confirmed the above-mentioned
amplitude decrement in ADHD children and indicated
that the corresponding medication leads to increase in
the P300 amplitude [7].
Although a variety of studies was dedicated to
the ERP components in ADHD children, only a few
НЕЙРОФИЗИОЛОГИЯ / NEUROPHYSIOLOGY.—2010.—T. 42, № 6 511
EFFECTS OF THE ADHD SYNDROME ON THE FREQUENCY COMPOSITION
researchers investigated EEG phenomena in ADHD
adults. A study in this regard disclosed that the ADHD
group was characterized by a significantly lower
absolute δ spectral power (SP) and a higher relative
θ SP (across the entire scalp) than those in the control
group. As to the absolute β SP, the ADHD group had
smaller values at the midline and higher powers of
these oscillations in the right posterior region. These
results were similar to those found in children with
ADHD [12]. Another study where sustained attention
was examined in normal adults during the CPT
demonstrated considerable variability of the EEG
rhythms [13]. As was revealed, the tested subjects
shared a progressive backshift of the α rhythm, while
the β and γ activities were stronger in the right than
in the left hemisphere. Statistical analysis provided
the evidence that EEG activity correlates with the test
behavioral results in many cerebral areas.
Several studies where an independent component
analysis (ICA) technique was extensively applied to
ERP analysis were carried out [14-16]. The above
technique is referred to the separation of independent
sources (which are mixed together with an unknown
mixing matrix, i.e., the mixing system and source
signals are both unknown) [17]. Makeig at al. [16]
used ICA for studying ERPs with estimation of various
cognitive functions, such as memory or visual spatial
attention. They showed that the tonic α-band power
increased in high-error epochs compared to low-error
ones, while the phasic α power decreased briefly after
the deviation onset but, then, increased strongly just
before the response offset.
The approach we have pursued in our previous
studies was to compare the effects of correct and
wrong answers on the ERP parameters in ADHD
subjects and age-matched normal participants
[18]. In other studies, we classified a population
of clinical ADHD cases and normal adults into
three groups with different levels of attention. A
promising accuracy (above 80%) was acquired [14,
19], encouraging us to develop the number of classes
for further studies.
In this study, we examined the frequency
characteristics of independent components (ICs) of
ERPs for ADHD and normal adults while performing a
CPT. Also, the quantitative analysis of ERP frequency
variations in normal and ADHD participants was
provided using Pearson correlations between the
sustained attention level of the participants and the
defined frequency features.
METHODS
Participants. Signals recorded in 50 volunteers were
used for the analysis. Informed consent was obtained
from each participant after explaining the protocol.
The experiment was conducted in accordance with
the Declaration of Helsinki. The review board of the
Institute for Cognitive Science Studies (ICSS) also
revised and approved the experimental protocol.
The mean age of the participants was 29.78 ± 6.15
years. Fifty-two percent of the group were men. All
50 participants were examined for handedness using
the Edinburgh test, and they were found to be right-
handed. 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,
10 participants (29.8 ± 6.4 years, 7 men) suffered
from ADHD (inattention sub-type). The conclusions
were based on the Diagnostic and Statistical Manual
of Mental Disorders, 4th edition, DSM-IV [2]. The
diagnosis was confirmed by the results of the self-report
screening form of the Conners’ Adult ADHD Rating
Scale (CAARS-S: SV) [20]. Other 40 participants had
no major psychiatric or medical disorders. All tested
subjects used no medications.
Recording Procedure. The second version of
Conners’ CPT [11] was used in this study; this is a “no-
go” CPT task. Different letters of the English alphabet
were presented randomly on the screen of a monitor,
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 and as accurately as possible.
There were six testing blocks, with three sub-blocks
in each containing 20 trials. Therefore, the experiment
involved presentation of 360 stimuli, where there were
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. Different
ISIs were presented in a randomized order.
The participants set 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 subject. The letters
were 7.5 cm high and 7 cm wide, which resulted in a
7 deg visual angle. They appeared white-colored on a
black background. A short practice test (70 sec) was
performed before conducting the full test, to ensure
НЕЙРОФИЗИОЛОГИЯ / NEUROPHYSIOLOGY.—2010.—T. 42, № 6512
F. GHASSEMI, M. H. MORADI, M. TEHRANI-DOOST, and V. ABOOTALEBI
that the participant has fully understood the task. Each
test took approximately 14 min to complete.
The EEG samples were recorded using 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 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
to 100 Hz, and a 50-Hz notch filter was used for line
noise reduction. The sampling rate was 200 sec–1.
Preprocessing. The data obtained were analyzed
using MATLAB 2009a software (MathWorks, USA).
A suitable bandpass filter (0.1-80 Hz) was used to
eliminate movement artifacts and a 50-Hz notch
filter to suppress the remaining line noise. The ICA
was initially performed for canceling EOG artifacts
[21, 22]. A combination of the Efficient variant of
Fast ICA (EFICA) and Efficient Weight-Adjusted
SOBI (EWASOBI) was chosen as the ICA method
and realized using ICALAB software [23]. The ICs
are identifiable up to a permutation and scaling of the
sources [17]. The EOG components were automatically
recognized by calculating the correlation between the
recorded EOG and all components achieved by ICA.
The component with a correlation coefficient (CC)
greater than 0.8 (with the P value below 0.01) was
classified as the EOG component. This component
was eliminated, and then all other components were
back-projected to their initial space. Then, artifactual
parts of EEG, including abnormal values, trend, and
spectra, and also improbable data, were automatically
rejected using EEGLAB software [24]. The ICA
was again applied to cleaned EEG. Regarding the
permutation ambiguity in the ICA methods, definition
of equivalent ICs in different participants should be
considered. For each participant, correlation of each
IC recorded by all scalp electrodes was calculated. The
channel with the greatest CC (greater than 0.8, the P <
< 0.01) was considered to have the most effect of that
IC on the scalp. Then, ICs of different participants with
the most effects clearly pronounced at similar distinct
scalp electrodes were considered to be equivalent. For
1200-msec-long epoch extraction periods, 200-msec-
long pre-stimulus and 1,000-msec-long post-stimulus
intervals were considered. The baseline was calculated
by averaging of a 200-msec-long segment prior to the
stimulus onset and subtracted from the epoch. Artifact-
free epochs extracted from each group, which were
time-locked to the stimulus onset, were averaged to
calculate the ERP parameters.
Feature Extraction. Several frequency features
were defined and evaluated in different groups (ISIs
and blocks yielding in 704 features; 8 features × 4 ERP
groups × 22 cases for each IC described below). These
features have shown to have adequate performances in
a few similar studies [7, 14, 18, 19, 25] and, hence,
were believed to be useful for application in our tests.
Frequency Features. The powers of the signal within
five different frequency bands (δ, θ to 4 Hz; θ, 4 to
8 Hz; α, 8 to 13 Hz; β, 13 to 30 Hz; and γ > 30 Hz) were
considered the defined features in addition to the mean,
median, and modal frequencies. The mean frequency
represents the centroid of the spectrum and is calculated
from the weighted averaging of the frequencies within
the power spectral density (PSD) of the signal. The
median frequency separates the power spectrum into
two equal energy areas. The modal frequency is the
frequency with the greatest energy content in the signal
spectrum. So, the maximum amplitude in the PSD of
the signal is observed at this frequency.
ERP Groups. Four groups of ERPs were considered
for each case. These were potentials related to the
target stimuli (X), non-target stimuli (nX), correct
answers to the target stimuli (CX, i.e., the X that the
participant did not respond to), and wrong answers
to the target stimuli (WX). Each group was averaged
separately for ERP extraction.
ERP Cases. Twenty-two different cases were
considered.
a) Total signal (1). The whole signal was considered
as a separate case.
b) ISI cases (6). Three different ISIs (ISIs of 1, 2,
or 4 sec) were considered separately. Also, the
ISIs relative to each other were considered as
three additional cases.
c) Block cases (15). Six time windows were
considered in order to investigate the ERP
changes in time. Each window was 155 sec long
and contained three different ISI subblocks.
The width of the window was calculated in
such a way that all blocks contained the same
number of targets. Also, nine relative cases were
considered (each block relative to previous one
and all blocks relative to the first block) to
compare the differences between blocks.
Symbols A, D, and M are used, respectively,
НЕЙРОФИЗИОЛОГИЯ / NEUROPHYSIOLOGY.—2010.—T. 42, № 6 513
EFFECTS OF THE ADHD SYNDROME ON THE FREQUENCY COMPOSITION
for the mean, median, and modal frequencies. The
power in each frequency rhythm is indicated by the
corresponding symbol. The phrase in the parentheses
explains the group, and subscript indices express the
related ISI or the block of calculated ERPs, which could
be absolute or relative. For example, MB3WX(IC10)
means the modal frequency for the ERP calculated for
the 3rd block in the wrong X group in the 10th IC, or
δ S42nX(IC11) means the difference between the δ powers
for the ERPs calculated for 2- and 4-sec-long ISIs in
the non-X group in the 11th independent component.
Data Processing. Regarding the behavioral data,
the repeated-measure analysis of variance (ANOVA)
was performed on (1) the hit reaction time (HRT, mean
response time for all non-X responses), (2) omissions
(number of non-targets to which the participant did
not respond), (3) commissions (number of times the
participant erroneously responded to the target “X”),
and (4) HRT standard error (HRT s.e., standard error
for the responses to non-X stimuli) for the class of
participants, ADHD vs normal adults (hereafter, class),
which was considered a between-subject factor.
Regarding the ERP data, repeated-measure
ANOVAs were performed between the ERP data, and
repeated-measure ANOVAs were performed between
the ERP-frequency features and class. Only significant
effects (P < 0.001) are reported. For investigating the
relation between the defined features and class of the
participants, Pearson correlation was calculated. Only
features with P values below 0.001 were considered
significant.
RESULTS
Behavioral Data. The mean HRTs in the normal and
ADHD groups (mean ± s.d.) were 372.8 ± 48.2 and 370.9 ±
± 33.4 msec, respectively. The average of Omissions
in both normal and ADHD groups was 0.4%, while
the averages of Commissions in these groups were 30
and 40%, respectively. The mean age in the normal
group was 29.78 ± 6.1 years, which nearly precisely
coincides with that in the ADHD group (29.8 ± 6.4
years). In the normal group, 47.5% of the participants
were man, while in the ADHD group this percentage
was 70%. No reliable difference was found between
ADHD and normal participants for the behavioral
data, as is mentioned in Table 1.
Data of the ERPs. Figure 1 represents the grand-
average PSD of ERPs recorded in normal and ADHD
participants. The PSDs for all ICs were averaged within
each group. The grand-average PSD demonstrated
prominent peaks at a 10 Hz frequency (α band) for
both normal and ADHD participants.
An ANOVA was performed between each extracted
feature and the class, which revealed that a main
significant (P value < 0.001) effect of the class can
be observed in eight features, which are described in
Table 2. Quantitative analysis of ERP variations in
normal and ADHD participants was provided using
Pearson correlations between the participant class and
the defined features. It is noteworthy that only the
P values for the same eight features were less than
0.001, and their CC are reported. Table 2 indicates that
the greatest value of the CC is 0.52, which correspond
to δTotalCX(IC12) and δB54CX(IC8). Both these features
T a b l e 1. Results of ANOVAs Performed for Behavioral Data
between ADHD-Suffering and Normal Participants
Т а б л и ц я 1. Результати застосування ANOVA щодо
різниць поведінкових проявів у нормальних обстежених та
осіб з ADHD-синдромом
Ordinal
number Behavioral Data F (1,49) P value
1 HRT 0.02 0.8848
2 Omission 0.02 0.8770
3 Commission 2.35 0.1318
4 HRT s.e. 2.16 0.1478
Footnotes: HRT) Hit reaction time; ADHD) attention deficit/
hyperactivity disorder. For details, see Methods.
T a b l e 2. Results of ANOVAs Performed for the Eight
Behavioral Extracted Features between ADHD-Suffering and
Normal Participants
Т а б л и ц я 2. Результати застосування ANOVA щодо
восьми визначених поведінкових особливостей у
нормальних обстежених та осіб з ADHD-синдромом
Ordinal
number of
the defined
feature
ERP frequency
feature F (1,49) P value R
(Pearson)
1 δ TotalCX(IC12) 17.83 0.0001 0.52
2 δ B54CX(IC8) 17.5 0.0001 -0.52
3 γB43X(IC4) 16.56 0.0002 0.51
4 αS2nCX(IC15) 14.12 0.0005 0.48
5 DB61nCX(IC7) 13.62 0.0006 0.47
6 αS21nCX(IC15) 13.56 0.0006 0.47
7 MB2X(IC14) 12.47 0.0009 0.45
8 DB65X(IC18) 12.35 0.0010 0.45
Footnotes. Only features with P < 0.001 are reported. ERP) Event-
related potential. For details, see Methods
НЕЙРОФИЗИОЛОГИЯ / NEUROPHYSIOLOGY.—2010.—T. 42, № 6514
F. GHASSEMI, M. H. MORADI, M. TEHRANI-DOOST, AND V. ABOOTALEBI
20
dB/Hz
10
5
0 10 20 30 40 50 60 70
1
2
80 Hz
15
are related to the power within the δ range for correct-
answered ERP. The former was extracted from the
total signal of the 12th IC, while the latter showed
the difference between the δ power in the 4th and 5th
blocks of the 8th IC. It should be noted that signs for
these features of the CCs are opposite, which means
that while δTotalCX(IC12) increases with the class
characteristics, δB54CX(IC8) decreases.
DISCUSSION
In several studies, ICA was applied for ERP analysis
[14-16]. Extraction of some characteristics of the brain
signals in IC domain, such as shape features, improved
the evaluation and classification results for ADHD
patients, which persuade us to investigate ADHD
effects on the frequency rhythms of ERP-independent
components.
It can be observed from the grand-average PSDs that
the power within the α range for ADHD participants is
samewhat lower than that in the normal group. At the
same time, the powers in the δ and γ bands are also lower
than those in the normal participants. These findings in
the IC domain are in agreement with the findings of
previous studies in the time domain [5, 12, 13, 16].
The correlations calculated confirm the existence
of significant relations between the participants’
clinical characteristics and some frequency features
of the respective ERPs. It was found that eight of
the defined features represent the main effect of the
participant class. The considered threshold for the P
value is 0.001, which makes the achievements very
Grand-average distribution of the power
spectral densities (PSDs) of event-related
potentials recorded in normal (1) and ADHD
(2) participants.
Загальноусереднені розподіли спектральної
щільності потужностей для пов’язаних
з подією потенціалів, зареєстрованих у
нормальних обстежених (1) та тестованих з
наявністю синдрому дефіциту уваги (2) та
гіперактивності.
reliable. Regarding the significant features, five of
them were extracted from time blocks, while 80% of
them were related to the comparison of two blocks.
This is consistent with the design of the CPT protocol
for measuring the sustained attention during time
blocks. All of the significant features were related to
the target stimuli (3 X, 3 WX, and 2 CX). Regarding
the power in different frequency ranges, five of the
significant features were related to the powers of the
δ, α, and γ bands.
In this study, different frequency characteristics
of ICs of ERPs were extracted and compared; ERPs
were recorded while adult participants resolved a
continuous performance task. The normal and ADHD
groups of subjects were investigated separately. The
results obtained revealed that there is a significant
correlation (P < 0.001) between clinical characteristics
of the participants and defined features from ICs of
the EEG signals.
Consequently, the results obtained represent a
significant relation between clinical presentation of
the participants and several extracted features from the
ICs of brain signals. Therefore, the implementation of
ERP and ICA for further studies on the ADHD and
sustained attention disorders is validated.
Acknowledgments. The authors are thankful to the
Institute for Cognitive Science Studies (ICSS) for providing
the EEG laboratory for performing the tests, and to 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 to this study.
НЕЙРОФИЗИОЛОГИЯ / NEUROPHYSIOLOGY.—2010.—T. 42, № 6 515
EFFECTS OF THE ADHD SYNDROME ON THE FREQUENCY COMPOSITION
Ф. Гассемі1, М. Х. Мораді1, М. Техрані-Дoocт2,3,
В. Абуталебі4
ВПЛИВИ СИНДРОМУ ДЕФІЦИТУ УВАГИ ТА
ГІПЕРАКТИВНОСТІ НА ЧАСТОТНУ КОМПОЗИЦІЮ
ППП, ВИЯВЛЕНІ ЗА ДОПОМОГОЮ АНАЛІЗУ НЕЗА-
ЛЕЖНИХ КОМПОНЕНТІВ
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
У роботі вивчали частотні характеристики пов’язаних з
подією ЕЕГ-потенціалів (ППП) у дорослих тестованих
з наявністю синдрому дефіциту уваги й гіперактивності
(ADHD) та його відсутністю (норма) в умовах тесту
безперервного виконання (continuous performance test,
CPT). Дослідження були проведені на 50 добровольцях (10
тестованих з наявністю ADHD і 40 практично здорових
людей). Для вивчення ППП використовували методику
незалежного компонентного аналізу. Середні величини для
кожної групи незалежних компонентів (НК), „прив’язаних”
до моменту пред’явлення стимулу, розраховували, щоб опи-
сати ППП. У кожному НК у складі різних ППП було виділено
низку частотних особливостей (усього 704 риси). Як вияви-
лося, вісім таких рис досліджуваних ППП вірогідно (P <
< 0.001) корелювали з клінічними характеристиками
тестованих, що узгоджується з результатами, отриманими
в попередніх роботах. Наші дані можуть бути використані
для об’єктивної оцінки рівня підтримуваної уваги.
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|
| id | nasplib_isofts_kiev_ua-123456789-68375 |
| institution | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| issn | 0028-2561 |
| language | English |
| last_indexed | 2025-11-25T22:19:28Z |
| publishDate | 2010 |
| publisher | Інститут фізіології ім. О.О. Богомольця НАН України |
| record_format | dspace |
| spelling | Ghassemi, F. Moradi, M.H. Tehrani-Doost, M. Abootalebi, V. 2014-09-21T19:06:11Z 2014-09-21T19:06:11Z 2010 Effects of the adhd syndrome on the frequency composition of ERPs revealed by independent component analysis / F. Ghassemi, M.H. Moradi, M. Tehrani-Doost, V. Abootalebi // Нейрофизиология. — 2010. — Т. 42, № 6. — С. 510-515. — Бібліогр.: 25 назв. — англ. 0028-2561 https://nasplib.isofts.kiev.ua/handle/123456789/68375 612.822:547.918 In this study, we investigated the frequency characteristics of independent components (ICs) of event-related potentials (ERPs) recorded in persons with attention deficit/hyperactivity disorder (ADHD) and normal adults under conditions of continuous performance test (CPT). A group of 50 participants (10 ADHD subjects and 40 ones with no attention disorders) was examined. Independent component analysis was applied to the recorded signals. For ERP extraction, averages for each group of ICs, which were time-locked to the onset of stimuli, were calculated. Several frequency characteristics (704 items) were extracted from different ERPs in each IC. Eight features of the brain signals had a significant (P < 0.001) correlation with the participants’ clinical presentation, which is consistent with the results of previous studies. The revealed promising relation can be used for further evaluation of the sustained attention level. У роботі вивчали частотні характеристики пов’язаних з подією ЕЕГ-потенціалів (ППП) у дорослих тестованих з наявністю синдрому дефіциту уваги й гіперактивності (ADHD) та його відсутністю (норма) в умовах тесту безперервного виконання (continuous performance test, CPT). Дослідження були проведені на 50 добровольцях (10 тестованих з наявністю ADHD і 40 практично здорових людей). Для вивчення ППП використовували методику незалежного компонентного аналізу. Середні величини для кожної групи незалежних компонентів (НК), „прив’язаних” до моменту пред’явлення стимулу, розраховували, щоб описати ППП. У кожному НК у складі різних ППП було виділено низку частотних особливостей (усього 704 риси). Як виявилося, вісім таких рис досліджуваних ППП вірогідно (P < < 0.001) корелювали з клінічними характеристиками тестованих, що узгоджується з результатами, отриманими в попередніх роботах. Наші дані можуть бути використані для об’єктивної оцінки рівня підт римуваної уваги. en Інститут фізіології ім. О.О. Богомольця НАН України Нейрофизиология Effects of the adhd syndrome on the frequency composition of ERPs revealed by independent component analysis Впливи синдрому дефіциту уваги та гіперактивності на частотну композицію ССП, виявлені за допомогою аналізу незалежних компонентів Article published earlier |
| spellingShingle | Effects of the adhd syndrome on the frequency composition of ERPs revealed by independent component analysis Ghassemi, F. Moradi, M.H. Tehrani-Doost, M. Abootalebi, V. |
| title | Effects of the adhd syndrome on the frequency composition of ERPs revealed by independent component analysis |
| title_alt | Впливи синдрому дефіциту уваги та гіперактивності на частотну композицію ССП, виявлені за допомогою аналізу незалежних компонентів |
| title_full | Effects of the adhd syndrome on the frequency composition of ERPs revealed by independent component analysis |
| title_fullStr | Effects of the adhd syndrome on the frequency composition of ERPs revealed by independent component analysis |
| title_full_unstemmed | Effects of the adhd syndrome on the frequency composition of ERPs revealed by independent component analysis |
| title_short | Effects of the adhd syndrome on the frequency composition of ERPs revealed by independent component analysis |
| title_sort | effects of the adhd syndrome on the frequency composition of erps revealed by independent component analysis |
| url | https://nasplib.isofts.kiev.ua/handle/123456789/68375 |
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