The Theta/Beta Ratio as an Indicator of Evolution in Pediatric
Patients Treated for Attention-Deficit/Hyperactivity Disorder
(ADHD)
A Retrospective Study
María Evangelina Herrán-Paz
1
, Raúl Ortiz-Monasterio
2
, Antonio Rodríguez-Díaz
1
, Olivia Mendoza
1
,
Juan R. Castro
1
and Hector J. Willys
1
1
Faculty of Chemistry Sciences and Engineering, Autonomous University of Baja, California, U.S.A.
2
Mexican Association of Neurology and Neurosurgery, Ave. Universidad, Tijuana, México
Keywords: Analysis EEG Signals, Theta/Beta Ratio, Clinical Evolution.
Abstract: This study was performed to assess whether the theta/beta ratio can be regarded as an indicator of pediatric
patients’ evolution while receiving treatment for ADHD. This required a spectral analysis of the
electrophysiological power output from several channels with reference at the vertex (Cz). The files and
EEG signals of sixteen clinical cases, which included children and adolescents from 4 to 16 years of age,
were analyzed. The analysis of the EEG signals was performed using the Fast Fourier Transform (FFT) to
obtain the frequency bands. Patients were under pharmacological treatment for at least one year and had at
least 2 EEG studies. The results indicate that a good correlation exists between the theta/beta ratio and the
patient’s clinical evolution. 42% of the patients who had 3 or more EEG’s, showed good correlation (r >
0.9), which was coherent with their good clinical evolution. 33% showed linear tendency (0.63 < r < 0.73),
with variable response and recovery tendency. 25% had bad correlation (r < 0.3), also with variable
treatment response. These results relate to poor adherence to the pharmacological treatment.
1 INTRODUCTION
The attention-deficit/hyperactivity disorder (ADHD)
is recognized as the main behavioral disorder of
children and adolescents, with 2.4 to 19.8%
worldwide prevalence (Polanczyk et al., 2007). This
neurobehavioral disorder is characterized by a
difficulty in focusing and maintaining attention for a
long time, plus impulsivity and hyperactivity (Ruiz
and Sauceda, 2012).
The clinical diagnosis of ADHD is complicated
due to many factors, like the difficulty in assessing
objectively the degree of attention, hyperactivity
and impulsivity, based on subjective information
provided by informants. The presence of other
neurological diseases and other clinical problems
related to attention deficit are other main difficulties.
The National Initiative for Children’s Healthcare
Quality (NICHQ) Vanderbilt rating scale is useful
for detection of ADHD in children and adolescents,
and includes the assessment of comorbilities, such as
oppositional defiant disorder, anxiety and
depression(Wolraich et al., 2012)(Wolraich et al.,
2003)(Becker et al., 2012).
Monastra et. al (Monastra, 2008), found that a
substantial body of scientific support exists that
associates ADHD with two primary
neurophysiological changes: most patients showed
excessive power in theta frequencies and suppressed
beta power over frontal and central midline regions.
A minority of them exhibited hyperarousal or no
evidence of cortical slowing over these regions.
Meta-analysis of the sensitivity and specificity of the
theta/beta power ratio to differentiate patients with
ADHD from healthy peers has indicated an accuracy
level comparable with or exceeding that of
commonly used behavioral rating scales.
The usefulness of the theta/beta ratio, which is
increased in comparisons to controls with no
neurological disorder, has been proved by several
authors (Monastra, 2008) (Steven Snyder et al.,
2008). The increased theta relative power and
277
Evangelina Herrán-Paz M., Ortiz-Monasterio R., Rodríguez-Díaz A., Mendoza O., R. Castro J. and J. Willys H..
The Theta/Beta Ratio as an Indicator of Evolution in Pediatric Patients Treated for Attention-Deficit/Hyperactivity Disorder (ADHD) - A Retrospective
Study.
DOI: 10.5220/0005268502770282
In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS-2015), pages 277-282
ISBN: 978-989-758-069-7
Copyright
c
2015 SCITEPRESS (Science and Technology Publications, Lda.)
theta/beta ratio and decreased beta relative power are
consistent with a meta-analytic review (Steven
Snyder and Hall, 2006). In a prospective study
(Quintana et al., 2007), rating scales readily
classified inattentive, impulsive, and/or hyperactive
symptoms as being due to ADHD, whereas only
EEG was specific. The use of theta and beta power
has produced more sensitivity and specificity in the
detection of ADHD in a diverse clinical sample,
rating scales and EEG were both sensitive markers.
EEG sensitivity of 94% and specificity of 100%,
was obtained whereas for ADHD-IV ratings scale
sensitivity of 80% and specificity of 22% was
obtained. Based on these statements, the quantitative
analysis of EEG (QEEG) is recommended to support
the diagnosis of ADHD, in wich the theta/beta ratio
is relevant.
Pharmacological treatment of ADHD is
recommended in children and adolescents with this
characteristic behavior to prevent problems and
develop a proper conduct at home, school and with
peers. There are a variety of drugs that help to
improve the patient’s school performance, personal
interactions, life quality and self-esteem. The
treatment must be individualized and is important to
consider the possible occurrence of adverse drug
reactions to changes in therapy (Graham et al.,
2011). Better results have been shown when patients
receive both pharmacological and psychosocial
therapy (Fogelman and Kahan, 2007). Non
adherence to treatment is common in these patients,
so the clinical evolution may vary depending on
compliance or adherence to prescribed treatment.
Monitoring the therapeutic drug is important to
follow the progress of ADHD symptoms, showing
when the patient responds favorably to treatment
and detecting cases in which the pharmacotherapy is
not being effective, allowing to search causes or
change the treatment schedule. For this, ratings
scales and performance tests can be used
(Vaquerizo-Madrid, 2008)(Herrán Paz et al., 2014),
however, the same subjectivity is recognized, the
questionnaires NICHQ Vanderbilt for parents and
teachers, is useful for this purpose (Wolraich et al.,
2012)(Becker et al., 2012), but based on the findings
of Snyders et al. (Steven Snyder and Hall, 2006),
(Steven Snyder et al., 2008), the EEG analysis could
be useful for therapeutic monitoring of the patient
clinical evolution.
Considering that ADHD has a characteristic
pattern useful for its diagnosis, this retrospective
study was performed in order to assess whether the
theta/beta ratio can be regarded as an indicator of the
evolution of pediatric patients receiving treatment
for this neurobehavioral disorder.
2 METHODS
2.1 Patients Files
This is a retrospective, non-randomized study.
Clinical files of sixteen ADHD pediatric and
adolescent patients were screened. There were 12
male and 4 female with mean age of 9.33 3.4 years
(range 4 - 16 years). The weight mean was 49
23.78 kg (21.61 - 95.34 Kg) and the height mean
was 1.43 0.74 m (1.17 – 1.75 m). A specialist on
neurological disorders made ADHD diagnosis based
on DSM-IV clinical assessment, structured interview
and EEG. The NICHQ Vanderbilt ratings scale was
found in five cases and these results were also
considered to evaluate the presence and severity of
the symptoms of ADHD. Patients with ADHD
diagnosis, comorbilities (like oppositional defiant
disorder or conduct disorder, anxiety and
depression) and that were under pharmacological
treatment were included.
The analysis of EEG
signals of children and adolescents with ADHD
diagnosis, who received pharmacological treatment
for at least one year and have at least 2 EEG studies
(67 studies considered in total), is presented.
Exclusion criteria included a history of seizure,
schizophrenia, bipolar disorder, dissocial disorder
and known serious medical problems, metal plate or
metal device in the head.
EEG studies were performed according to
International 10-20 System with at least 1 year apart.
The analysis of the EEG signals was performed
using Fast Fourier Transform (FFT) to obtain
frequency bands: delta (0.5–3.5 Hz), theta (4.0–7.5
Hz), alpha (8.0–12.5 Hz), beta (13.0– 31 Hz) and
sub-divisions: delta 1 (0.5–1.5 Hz), delta 2 (2 – 3.5),
and beta 1 (13.0– 20.5 Hz) y beta 2 (21 – 31.5), the
periodogram and the power ratio of theta/beta bands.
Patient outcome was assessed based on medical
records, remission reports from NICHQ Vanderbilt
ratings scale and analysis of EEG signals (2 to 6
EEG’s per patient).
2.2 EEG
EEG studies were obtained using a digital device for
brain electrical activity mapping, Cadwell 32 ch.
EEG Amplifier, EASY II v. 2.1. The person
responsible for placing the electrodes and obtain
BIOSIGNALS2015-InternationalConferenceonBio-inspiredSystemsandSignalProcessing
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records of EEG’s has training and experience in
such procedures. Electrodes were placed in
accordance with the International 10-20 System,
using a 19 electrode cap, with a ground electrode at
Fz and linked ears (A1 ad A2) reference. The
impedance is 10 K
EEG’s were obtained with subjects lying down
and sleeping after a sleepless night. Specifications
for digitizing signals include a sampling frequency
of 200 Hz a notch filter at 60 Hz and a pass band 3
dB from 0.5 to 31.5 Hz 50 Hz Interference
suppression: 3 dB. The channels selected for data
analysis, are located in fronto-temporal sites, these
regions are related with the ADHD behavioral
problems.
2.3 Data Processing
Data processing was made on certain steps:
1. Segment elimination based on presence of
artifacts, this procedure was made visually.
2. Data filtering, a pass windows of 0.5-31.5Hz
and a notch filter at 60Hz were used.
3. The following frontal and temporal channels
were used: FP1, FP2, F3, F4, F7, F8, T3, T4,
T5, T6 and Fz. Power spectrum (based on Fast
Fourier Transform) was obtained for the whole
EEG record.
4. Calculate power bands: delta (0.5-3.5Hz) theta
(4-7.5Hz) alpha (8-12.5Hz) and beta (13-
31.5Hz).
5. Get ratio Theta/beta.
2.4 Statistical Analyses
We hypothesized that clinic evolution of pediatric
ADHD patients under pharmacologic treatment
would follow changes in the theta/beta ratio through
time.
Theta/beta ratio has been recognized as a
characteristic pattern of this neurobiological disease,
we think that patients under treatment will improve
health, and theta/beta ratio will decrease
significantly. A paired T-test was used to compare
the initial and final theta/beta ratios at 95%
confidence interval. A good linear correlation
between theta/beta ratio versus time under treatment
will show a good clinical evolution and good
adherence to the treatment. A linear tendency will
show a variable response with improvement
tendency. A bad linear correlation will be associated
with a variable response and slight improvement or
without clinical improvement.
3 RESULTS
3.1 Physical Characteristics
Medical files of sixteen child and adolescent ADHD
patients were studied retrospectively. They where 12
male and 4 female with mean age of 9.33 3.4
years. Four cases had two EEG studies and twelve
had three to 6 EEG’s. The patients were taking
stimulants like methylphenidate, and other drugs
like: magnesium valproate, lamotrigine, risperidone,
and others for comorbilities treatment.
3.2 EEG
Table 1, shows the theta/beta ratio for the 16 cases,
for each electroencephalographic study. Theta/beta
ratio decreased in most cases (87.5%, n=14), one
case (6.25%) without changes and other case had an
increment of the theta/beta ratio. The Theta/beta
ratio decrease was related to a good clinical
evolution. Initial and final EEG studies were
compared for each case using a paired T-test, a
significative difference was found at 95%
confidence interval.
Table 2 shows correlation coefficients obtained
from patients with 3 or more EEG’s (12) and this
was related with the clinical evolution, considering
retrospective analysis of clinical histories.
Considering only 12 such cases, 41.66% of this
patients (5) had a good clinical evolution, this is
coherent with a good linear correlation between
theta/beta ratio versus time under treatment,
correlation coefficients (r) were 0.977 0.015,
range: 0.991 to 0.951.
Four cases (33.33%) shown a linear tendency,
their mean correlation coefficient was r=0.666 0.
045, varied from 0.731 to 0.627.
Three cases (25%) shown a very low correlation
coefficients r, with mean of 0.206 0.156, range
varied from 0.310 to 0.026.
These coefficients were associated with a good,
variable or bad clinical response, characterized by
periods with variable adherence and periods of
discontinuing the therapy.
For cases with only two EEG (n=4), clinical
evolution was assessed according to medical
records, three of them had a good evolution and one
case was bad.
TheTheta/BetaRatioasanIndicatorofEvolutioninPediatricPatientsTreatedforAttention-Deficit/HyperactivityDisorder
(ADHD)-ARetrospectiveStudy
279
Table 2: Linear correlation coefficients of the
theta/beta ratio.
Linearity % Mean
(SD)
Good
(n=5)
R > -0.95 41.67 -0.997
(0.015)
With
Tendency
(n=4)
-0.73 > R > -0.63 33.33 -0.666
(0.045)
Low
(n=3)
-0.03 > R < 0.31 25.00 -0.206
(0.156)
SD: Standard deviation
4 DISCUSSION
Patients were taking pharmacological treatment and
most of them had frequent periods of nonadherence
to pharmacotherapy, with periods of improvement
and relapse associated with such phenomenon.
Five patients had NICHQ Vanderbilt
questionnaire, these rating scales were assessed by a
psychologist. The information obtained from these
rating scales answered by parents and/or teachers
was included in Table 1, and was considered for
assessment of patient’s clinical evolution. In all
these cases (n=5), results were: “in remission” or
“without ADHD symptoms”.
Table 1: Relation theta/beta and patient’s clinical evolution.
case
Theta/beta ratio
each year of treatment, mean (SD)
R Clinical
Evolution
1
10.58
(3.58)
4.54
(1.87)
5.71
(1.73)
5.55
(2.16)
N.D.
3.70
(1.87)
-0.731
Variable
Remission
2
5.85
(2.34)
4.49
(1.44)
N.D.
3.45
(0.85)
N.D. N.D.
2.95
(1.00)
2.02
(0.25)
-0.952
Good
3
10.03
(3.09)
6.39
(1.88)
4.18
(1.82)
2.70
(0.67)
-0.98
Good
Remission
4
11.77
(4.12)
10.59
(5.05)
9.94
(4.80)
-0.985
Good
Remission
5
8.59
(2.93)
N.D.
8.19
(2.75)
N.D. N.D. N.D. N.D. N.D.
5.13
(1.71)
-0.991 Good
6
2.63
(1.00)
N.D. N.D.
2.43
(0.58)
Good
7
4.24
(1.55)
4.67
(1.32)
Bad
8
7.22
(2.31)
5.61
(1.73)
N.D.
2.30
(1.42)
4.94
(1.60)
4.88
(0.87)
-0.628
Variable
PI
9
7.06
(3.83)
14.14
(5.43)
9.54
(3.56)
4.40
(1.55)
6.11
(2.41)
3.32
(1.09)
-0.651
Variable
Remission
10
3.29
(0.90)
2.40
(0.61)
Good
11
4.29
(1.33)
5.98
(1.74)
3.63
(1.35)
3.43
(0.87)
0.281
Variable
SPI
12
21.42
(8.31)
16.96
(6.12)
6.92
(5.04)
-0.976
Good
Remission
13
8.18
(2.75)
5.12
(2.03)
7.22
(2.18)
N.D.
6.04
(1.80)
4.65
(3.07)
-0.654
Variable
PI
14
9.11
(3.62)
6.61
(2.98)
10.50
(4.18)
9.11
(3.20)
0.31
Variable
Bad
15
3.91
(1.71)
0.89
(0.30)
Good
16
3.59
(1.69)
N.D. N.D.
6.81
(2.19)
4.28
(1.29)
3.38
(0.85)
-0.026
Variable
PI
SD: Standard deviation, R: Correlation coefficient, PI: Patient Improvement , SPI: Slight patient improvement.
N.D.:No data available
BIOSIGNALS2015-InternationalConferenceonBio-inspiredSystemsandSignalProcessing
280
Theta/beta ratio decreased in most cases (87.5%,
n=14), one case (6.25%) without changes and other
case had an increment of theta/beta ratio.
50% of patients (n=8), had good clinical
evolution, 43.75% had a variable response and
12.5% had bad clinical response. Poor adherence to
treatment was associated with variablity in theta/beta
ratios and in their response to pharmacological
therapy. Pharmacological treatment with this sample
was varied and interrupted in several occasions and
resumed after patients worsening.
The main problem related with pharmacotherapy
in these patients was low adherence at the treatment.
100% of cases discontinued treatment for weeks or
even months at least once. When this happened, a
new EEG was obtained and the patient reinitiated
treatment. Then the EEG’s changes are not related
directly with the time of treatment. Studies of
pharmacy claims databases and treatment studies
have shown that the prevalence of medication
discontinuation or nonadherence is between 13.2%
to 64% and medication nonadherence is common in
childhood/adolescent ADHD (Adler and Nierenberg,
2010).
Previous studies had found that a minor
percentage of children diagnosed with ADHD, may
show excessive beta activity in their resting state
EEG, generally associated with a negative response
to methylphenidates and dexamphetamines (Clarke,
et al., 2001), however this pattern was not present in
these study cases. In other study(Steven Snyder et
al., 2008), the theta/beta ratio was obtained in order
to identify ADHD patients in three age groups: 6-11,
12-15 y 16-18 years. The EEG was obtained in
resting state with close eyes. In comparison with our
results in patients under the same age group. The
theta/beta ratio in this studio was 7.4 3.3 and 4.1
1.1 for the first and second group of age, while in
our study, the theta/beta ratio obtained before
treatment was: 7.12 3.1 for the patients who were
in the group of age of 6-11 years (n=12), the
theta/beta ratio obtained on patients after treatment
was 5.11 2.83 (n=9) and 3.14 1.16 (n=5) for the
first and second group of age respectively.
Figure 1 show the patients’ clinical evolution,
classified as: Good, variable with patient
improvement, variable with slight patient
improvement and bad, corresponding to sixteen
cases studied. In order to relate this observations
with the theta/beta correlations obtained in twelve
of sixteen cases, we grouped the last two categories
in only one (variable with slight patient
improvement and bad).
Fig. 1: Patients’ clinical evolution, according medical
valoration.
There is some future work pending for other
studies, an example could be a study in which EEG
signals from a given sample are taken under
different states as resting state with closed eyes and
sleeping state and compare results. Another example
of future work could be the automate of the process
of EEG data analysis in a system such that the
theta/beta ratio could be given to the doctor in
minutes and this information could be used to help
ADHD diagnosis.
4.5 Limitations
First, a small sample was examined in this study, a
study with a larger sample size will be required.
Second, a single psychiatric clinical site for the
current study which limits the generalizability of the
results.
Third, we focused in theta/beta ratio but other
patterns may be useful to evaluate patient evolution.
5 CONCLUSIONS
Theta/beta ratio obtained from EEG signal analysis
can be an indicator of clinical evolution of ADHD
patients. The main factor for variability in response
to changes in theta/beta ratio is a reflect of
nonadherence to pharmacotherapy, with associated
periods of improvement and relapse.
ACKNOWLEDGMENT
This study was supported by National Council for
Science and Technology of México
(Conacyt).Project 209537.
TheTheta/BetaRatioasanIndicatorofEvolutioninPediatricPatientsTreatedforAttention-Deficit/HyperactivityDisorder
(ADHD)-ARetrospectiveStudy
281
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