Attention Deficit Hyperactivity DisorderNCT04467658
Neurophysiological Marker of ADHD in Children
An observational study of Attention Deficit Hyperactivity Disorder and Psychiatric Diagnosis, run by Daegu Catholic University Medical Center at 1 site in South Korea.
Trial summary
This study investigated quantitative electroencephalography (QEEG) subtypes as auxiliary tools to assess Attention Deficit Hyperactivity Disorder (ADHD). Patient assessed using the Korean version of the Diagnostic Interview Schedule for Children Version IV and were assigned to one of three groups: ADHD, ADHD-Not… Read more about this study
- Who is it for?
- Ages 7 to 12 yearsHealthy volunteers can take part
- Conditions the study is for
- Attention Deficit Hyperactivity Disorder, Psychiatric Diagnosis, Diagnosis, Psychiatric
- What is being tested?
- electroencephalography absolute delta power, electroencephalography relative delta power and electroencephalography absolute theta power
- Type of treatment
- Injection or infusion
- How many people
- 140 participants
- Where
- 1 siteSouth Korea
- Study dates
- 8 Aug 2018to 28 Feb 2021
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 7 to 12 years
- All sexes
- Healthy volunteers accepted
- Child
Study population: Patients who suspected attention-deficit/hyperactivity disorder conducted QEEG and diagnosed with DISC-IV
Who may be able to join
- Participants between 7 and 12 years of age diagnosed with ADHD according to the DSM-5 criteria were included in the study
Who cannot join
- Children with a history of brain damage, neurological disorders, genetic disorders, substance dependence, epilepsy, or any other mental disorder were excluded from participation.
- Children with an IQ of 70 or lower according to the Korean-Wechsler Intelligence Scale for Children (Fourth Edition) or who were receiving drug treatment were also excluded from this study
Trial locations and contacts
1 site in 1 country.
South Korea1 site
Daegu Catholic University Medical Center
Daegu, Nam-gu, 42471
About this study
Official title: Neurophysiological Marker of Attention Deficit Hyperactivity Disorder in Children
This study investigated quantitative electroencephalography (QEEG) subtypes as auxiliary tools to assess Attention Deficit Hyperactivity Disorder (ADHD). Patient assessed using the Korean version of the Diagnostic Interview Schedule for Children Version IV and were assigned to one of three groups: ADHD, ADHD-Not Otherwise specified (NOS), and Neurotypical (NT). The investigators measure absolute and relative EEG power in 19 channels and conducted an auditory continuous performance test. The investigators analyzed QEEG according to the frequency range: delta (1-4 Hz), theta (4-8 Hz), slow alpha (8-10 Hz), fast alpha (10-13.5 Hz), and beta (13.5-30 Hz). The subjects were then grouped by Ward's method of cluster analysis using the squared Euclidian distance to measure dissimilarities.
Read the detailed description
Participants between 7 and 12 years of age diagnosed with ADHD according to the DSM-5 criteria were included in the study. The ADHD diagnosis was based on a Korean version of the Diagnostic Interview Schedule for Children Version IV (DISC-IV), which is a structured interview tool, and these diagnoses were confirmed by multiple child and adolescent psychiatrists. If participants did not meet the ADHD diagnostic criteria of DSM-IV and DISC-IV, they were assigned to the Neurotypical (NT) group. Based on the results of the DISC-IV test, participants were assigned to the ADHD or Non-Other Specified (NOS) group. Patients who met the diagnostic criteria of ADHD in DSM-IV, but whose score did not exceed six, and had a score of more than three in the attention deficit or hyperactivity/impactivity scale of DISC-IV were included in the NOS group. Children with a history of brain damage, neurological disorders, genetic disorders, substance dependence, epilepsy, or any other mental disorder were excluded from participation. Children with an IQ of 70 or lower according to the Korean-Wechsler Intelligence Scale for Children (Fourth Edition) or who were receiving drug treatment were also excluded from this study. The EEG recordings were performed using a SynAmps2 direct-current (DC) amplifier and a 10-20 layout 64-channel Quick-Cap electrode-placement system (Neuroscan Inc., NC, USA). The EEG data were digitally recorded from 19 gold cup electrodes placed according to the international 10-20 system. The impedances were maintained below 5 kΩ, and the sampling rate was 1000 Hz. The investigators use the linked mastoid reference and two additional bipolar electrodes to measure horizontal and vertical eye movements. During the recording, each participant laid in a dimly lit, electrically shielded, sound-attenuated room. Resting EEG recordings were recorded after three minutes with the participants' eyes closed.
- Being tested
- electroencephalography absolute delta power, electroencephalography relative delta power, electroencephalography absolute theta power, electroencephalography relative theta power, electroencephalography absolute slow alpha power
- Keywords
- ADHD, QEEG, Neurotypical
- Medical subject headings
- Attention Deficit Disorder with Hyperactivity, Mental Disorders
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
electroencephalography absolute delta powerDiagnostic test
We used MATLAB 7.0.1 (Math Works, Natick, MA, USA) and the EEGLAB toolbox to pre-process and analyze the EEG recordings. First, the EEG data were down-sampled to 250 Hz. Next, the EEG data were detrended and mean-subtracted to remove the DC component. A 1-Hz high-pass filter and a 60-Hz notch filter were applied to remove eye and electrical noise. Next, independent component analysis (ICA) was performed to remove the well-defined sources of artifacts. ICA has been shown to reliably isolate artifacts caused by eye and muscle movements and heart noise (23). Finally, clinical psychiatrists and EEG experts visually inspected the corrected EEGs. For the analysis, we selected more than two minutes of artifact-free EEG readings from the three-minute recordings
electroencephalography relative delta powerDiagnostic test
We used MATLAB 7.0.1 (Math Works, Natick, MA, USA) and the EEGLAB toolbox to pre-process and analyze the EEG recordings. First, the EEG data were down-sampled to 250 Hz. Next, the EEG data were detrended and mean-subtracted to remove the DC component. A 1-Hz high-pass filter and a 60-Hz notch filter were applied to remove eye and electrical noise. Next, independent component analysis (ICA) was performed to remove the well-defined sources of artifacts. ICA has been shown to reliably isolate artifacts caused by eye and muscle movements and heart noise (23). Finally, clinical psychiatrists and EEG experts visually inspected the corrected EEGs. For the analysis, we selected more than two minutes of artifact-free EEG readings from the three-minute recordings
electroencephalography absolute theta powerDiagnostic test
We used MATLAB 7.0.1 (Math Works, Natick, MA, USA) and the EEGLAB toolbox to pre-process and analyze the EEG recordings. First, the EEG data were down-sampled to 250 Hz. Next, the EEG data were detrended and mean-subtracted to remove the DC component. A 1-Hz high-pass filter and a 60-Hz notch filter were applied to remove eye and electrical noise. Next, independent component analysis (ICA) was performed to remove the well-defined sources of artifacts. ICA has been shown to reliably isolate artifacts caused by eye and muscle movements and heart noise (23). Finally, clinical psychiatrists and EEG experts visually inspected the corrected EEGs. For the analysis, we selected more than two minutes of artifact-free EEG readings from the three-minute recordings
electroencephalography relative theta powerDiagnostic test
We used MATLAB 7.0.1 (Math Works, Natick, MA, USA) and the EEGLAB toolbox to pre-process and analyze the EEG recordings. First, the EEG data were down-sampled to 250 Hz. Next, the EEG data were detrended and mean-subtracted to remove the DC component. A 1-Hz high-pass filter and a 60-Hz notch filter were applied to remove eye and electrical noise. Next, independent component analysis (ICA) was performed to remove the well-defined sources of artifacts. ICA has been shown to reliably isolate artifacts caused by eye and muscle movements and heart noise (23). Finally, clinical psychiatrists and EEG experts visually inspected the corrected EEGs. For the analysis, we selected more than two minutes of artifact-free EEG readings from the three-minute recordings
electroencephalography absolute slow alpha powerDiagnostic test
We used MATLAB 7.0.1 (Math Works, Natick, MA, USA) and the EEGLAB toolbox to pre-process and analyze the EEG recordings. First, the EEG data were down-sampled to 250 Hz. Next, the EEG data were detrended and mean-subtracted to remove the DC component. A 1-Hz high-pass filter and a 60-Hz notch filter were applied to remove eye and electrical noise. Next, independent component analysis (ICA) was performed to remove the well-defined sources of artifacts. ICA has been shown to reliably isolate artifacts caused by eye and muscle movements and heart noise (23). Finally, clinical psychiatrists and EEG experts visually inspected the corrected EEGs. For the analysis, we selected more than two minutes of artifact-free EEG readings from the three-minute recordings
electroencephalography relative slow alpha powerDiagnostic test
We used MATLAB 7.0.1 (Math Works, Natick, MA, USA) and the EEGLAB toolbox to pre-process and analyze the EEG recordings. First, the EEG data were down-sampled to 250 Hz. Next, the EEG data were detrended and mean-subtracted to remove the DC component. A 1-Hz high-pass filter and a 60-Hz notch filter were applied to remove eye and electrical noise. Next, independent component analysis (ICA) was performed to remove the well-defined sources of artifacts. ICA has been shown to reliably isolate artifacts caused by eye and muscle movements and heart noise (23). Finally, clinical psychiatrists and EEG experts visually inspected the corrected EEGs. For the analysis, we selected more than two minutes of artifact-free EEG readings from the three-minute recordings
electroencephalography absolute fast alpha powerDiagnostic test
We used MATLAB 7.0.1 (Math Works, Natick, MA, USA) and the EEGLAB toolbox to pre-process and analyze the EEG recordings. First, the EEG data were down-sampled to 250 Hz. Next, the EEG data were detrended and mean-subtracted to remove the DC component. A 1-Hz high-pass filter and a 60-Hz notch filter were applied to remove eye and electrical noise. Next, independent component analysis (ICA) was performed to remove the well-defined sources of artifacts. ICA has been shown to reliably isolate artifacts caused by eye and muscle movements and heart noise (23). Finally, clinical psychiatrists and EEG experts visually inspected the corrected EEGs. For the analysis, we selected more than two minutes of artifact-free EEG readings from the three-minute recordings
electroencephalography relative fast alpha powerDiagnostic test
We used MATLAB 7.0.1 (Math Works, Natick, MA, USA) and the EEGLAB toolbox to pre-process and analyze the EEG recordings. First, the EEG data were down-sampled to 250 Hz. Next, the EEG data were detrended and mean-subtracted to remove the DC component. A 1-Hz high-pass filter and a 60-Hz notch filter were applied to remove eye and electrical noise. Next, independent component analysis (ICA) was performed to remove the well-defined sources of artifacts. ICA has been shown to reliably isolate artifacts caused by eye and muscle movements and heart noise (23). Finally, clinical psychiatrists and EEG experts visually inspected the corrected EEGs. For the analysis, we selected more than two minutes of artifact-free EEG readings from the three-minute recordings
electroencephalography absolute beta powerDiagnostic test
We used MATLAB 7.0.1 (Math Works, Natick, MA, USA) and the EEGLAB toolbox to pre-process and analyze the EEG recordings. First, the EEG data were down-sampled to 250 Hz. Next, the EEG data were detrended and mean-subtracted to remove the DC component. A 1-Hz high-pass filter and a 60-Hz notch filter were applied to remove eye and electrical noise. Next, independent component analysis (ICA) was performed to remove the well-defined sources of artifacts. ICA has been shown to reliably isolate artifacts caused by eye and muscle movements and heart noise (23). Finally, clinical psychiatrists and EEG experts visually inspected the corrected EEGs. For the analysis, we selected more than two minutes of artifact-free EEG readings from the three-minute recordings
electroencephalography relative beta powerDiagnostic test
We used MATLAB 7.0.1 (Math Works, Natick, MA, USA) and the EEGLAB toolbox to pre-process and analyze the EEG recordings. First, the EEG data were down-sampled to 250 Hz. Next, the EEG data were detrended and mean-subtracted to remove the DC component. A 1-Hz high-pass filter and a 60-Hz notch filter were applied to remove eye and electrical noise. Next, independent component analysis (ICA) was performed to remove the well-defined sources of artifacts. ICA has been shown to reliably isolate artifacts caused by eye and muscle movements and heart noise (23). Finally, clinical psychiatrists and EEG experts visually inspected the corrected EEGs. For the analysis, we selected more than two minutes of artifact-free EEG readings from the three-minute recordings
Korean ADHD rating scaleDiagnostic test
The KARS is a standardized screening tool for ADHD in Korean children and rating scale completed by the parents.
Korean Version of Diagnostic Interview Schedule for Children Version IVDiagnostic test
The DISC-IV is a structured diagnostic tool that was developed for use in epidemiological studies in children and adolescents
| Study group | Role | What they receive |
|---|---|---|
| ADHD | Not described Receives: Diagnostic Test: electroencephalography absolute delta power; Diagnostic Test: electroencephalography relative delta power; Diagnostic Test: electroencephalography absolute theta power; Diagnostic Test: electroencephalography relative theta power; Diagnostic Test: electroencephalography absolute slow alpha power; Diagnostic Test: electroencephalography relative slow alpha power; Diagnostic Test: electroencephalography absolute fast alpha power; Diagnostic Test: electroencephalography relative fast alpha power; Diagnostic Test: electroencephalography absolute beta power; Diagnostic Test: electroencephalography relative beta power; Diagnostic Test: Korean ADHD rating scale; Diagnostic Test: Korean Version of Diagnostic Interview Schedule for Children Version IV | |
| NT NeuroTypical | Not described Receives: Diagnostic Test: electroencephalography absolute delta power; Diagnostic Test: electroencephalography relative delta power; Diagnostic Test: electroencephalography absolute theta power; Diagnostic Test: electroencephalography relative theta power; Diagnostic Test: electroencephalography absolute slow alpha power; Diagnostic Test: electroencephalography relative slow alpha power; Diagnostic Test: electroencephalography absolute fast alpha power; Diagnostic Test: electroencephalography relative fast alpha power; Diagnostic Test: electroencephalography absolute beta power; Diagnostic Test: electroencephalography relative beta power; Diagnostic Test: Korean ADHD rating scale; Diagnostic Test: Korean Version of Diagnostic Interview Schedule for Children Version IV | |
| ADHD NOS | Not described Receives: Diagnostic Test: electroencephalography absolute delta power; Diagnostic Test: electroencephalography relative delta power; Diagnostic Test: electroencephalography absolute theta power; Diagnostic Test: electroencephalography relative theta power; Diagnostic Test: electroencephalography absolute slow alpha power; Diagnostic Test: electroencephalography relative slow alpha power; Diagnostic Test: electroencephalography absolute fast alpha power; Diagnostic Test: electroencephalography relative fast alpha power; Diagnostic Test: electroencephalography absolute beta power; Diagnostic Test: electroencephalography relative beta power; Diagnostic Test: Korean ADHD rating scale; Diagnostic Test: Korean Version of Diagnostic Interview Schedule for Children Version IV |
What is being measured
The primary outcome is the main question the study is designed to answer.
QEEG topographical plots of the results of the statistical comparisons to normative values (z-scores) using Neuroguide software
The investigators measures QEEG on first outpatient clinic and conduct topography for mapping
Measured: through study completion, an average of 1 year
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted13 Jul 2020
- Study start8 Aug 2018
- Primary completion28 Feb 2021
- Study completion28 Feb 2021
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Attention Deficit Hyperactivity DisorderStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Case only
- Time perspective
- Retrospective
- Enrolment
- 140 participants (actual)
Sponsor and investigators
- Lead sponsor
- Daegu Catholic University Medical Center
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Junwon Kim, Daegu Catholic University Medical Center
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04467658
- Sponsor's protocol ID
- CR-18-096
- Status last verified
- Feb 2024
- First submitted
- 1 Jul 2020
- Last updated
- 20 Feb 2024
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: Data will be shared on request for proper reason
Study at a glance
From the registry record, last updated by the sponsor on 20 Feb 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Neurophysiological Marker of Attention Deficit Hyperactivity Disorder in Children
- ClinicalTrials.gov ID
- NCT04467658
- Acronym / sponsor ID
- CR-18-096
- Keywords
- ADHD, QEEG, Neurotypical
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 140 participants (actual)
- Lead sponsor
- Daegu Catholic University Medical CenterUniversity, hospital or other
- Study start
- 8 Aug 2018 (actual)
- Primary completion
- 28 Feb 2021 (actual)
- Study completion
- 28 Feb 2021 (actual)
- First posted
- 13 Jul 2020 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study investigated quantitative electroencephalography (QEEG) subtypes as auxiliary tools to assess Attention Deficit Hyperactivity Disorder (ADHD). Patient assessed using the Korean version of the Diagnostic Interview Schedule for Children Version IV and were assigned to one of three groups: ADHD, ADHD-Not Otherwise specified (NOS), and Neurotypical (NT). The investigators measure absolute and relative EEG power in 19 channels and conducted an auditory continuous performance test. The investigators analyzed QEEG according to the frequency range: delta (1-4 Hz), theta (4-8 Hz), slow alpha (8-10 Hz), fast alpha (10-13.5 Hz), and beta (13.5-30 Hz). The subjects were then grouped by Ward's method of cluster analysis using the squared Euclidian distance to measure dissimilarities.
Detailed description
Participants between 7 and 12 years of age diagnosed with ADHD according to the DSM-5 criteria were included in the study. The ADHD diagnosis was based on a Korean version of the Diagnostic Interview Schedule for Children Version IV (DISC-IV), which is a structured interview tool, and these diagnoses were confirmed by multiple child and adolescent psychiatrists. If participants did not meet the ADHD diagnostic criteria of DSM-IV and DISC-IV, they were assigned to the Neurotypical (NT) group. Based on the results of the DISC-IV test, participants were assigned to the ADHD or Non-Other Specified (NOS) group. Patients who met the diagnostic criteria of ADHD in DSM-IV, but whose score did not exceed six, and had a score of more than three in the attention deficit or hyperactivity/impactivity scale of DISC-IV were included in the NOS group. Children with a history of brain damage, neurological disorders, genetic disorders, substance dependence, epilepsy, or any other mental disorder were excluded from participation. Children with an IQ of 70 or lower according to the Korean-Wechsler Intelligence Scale for Children (Fourth Edition) or who were receiving drug treatment were also excluded from this study. The EEG recordings were performed using a SynAmps2 direct-current (DC) amplifier and a 10-20 layout 64-channel Quick-Cap electrode-placement system (Neuroscan Inc., NC, USA). The EEG data were digitally recorded from 19 gold cup electrodes placed according to the international 10-20 system. The impedances were maintained below 5 kΩ, and the sampling rate was 1000 Hz. The investigators use the linked mastoid reference and two additional bipolar electrodes to measure horizontal and vertical eye movements. During the recording, each participant laid in a dimly lit, electrically shielded, sound-attenuated room. Resting EEG recordings were recorded after three minutes with the participants' eyes closed.
Study design
- Observational model
- Case only
- Time perspective
- Retrospective
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| ADHD | – | Diagnostic Test: electroencephalography absolute delta power, Diagnostic Test: electroencephalography relative delta power, Diagnostic Test: electroencephalography absolute theta power, Diagnostic Test: electroencephalography relative theta power, Diagnostic Test: electroencephalography absolute slow alpha power, Diagnostic Test: electroencephalography relative slow alpha power, Diagnostic Test: electroencephalography absolute fast alpha power, Diagnostic Test: electroencephalography relative fast alpha power, Diagnostic Test: electroencephalography absolute beta power, Diagnostic Test: electroencephalography relative beta power, Diagnostic Test: Korean ADHD rating scale, Diagnostic Test: Korean Version of Diagnostic Interview Schedule for Children Version IV |
| NT NeuroTypical | – | Diagnostic Test: electroencephalography absolute delta power, Diagnostic Test: electroencephalography relative delta power, Diagnostic Test: electroencephalography absolute theta power, Diagnostic Test: electroencephalography relative theta power, Diagnostic Test: electroencephalography absolute slow alpha power, Diagnostic Test: electroencephalography relative slow alpha power, Diagnostic Test: electroencephalography absolute fast alpha power, Diagnostic Test: electroencephalography relative fast alpha power, Diagnostic Test: electroencephalography absolute beta power, Diagnostic Test: electroencephalography relative beta power, Diagnostic Test: Korean ADHD rating scale, Diagnostic Test: Korean Version of Diagnostic Interview Schedule for Children Version IV |
| ADHD NOS | – | Diagnostic Test: electroencephalography absolute delta power, Diagnostic Test: electroencephalography relative delta power, Diagnostic Test: electroencephalography absolute theta power, Diagnostic Test: electroencephalography relative theta power, Diagnostic Test: electroencephalography absolute slow alpha power, Diagnostic Test: electroencephalography relative slow alpha power, Diagnostic Test: electroencephalography absolute fast alpha power, Diagnostic Test: electroencephalography relative fast alpha power, Diagnostic Test: electroencephalography absolute beta power, Diagnostic Test: electroencephalography relative beta power, Diagnostic Test: Korean ADHD rating scale, Diagnostic Test: Korean Version of Diagnostic Interview Schedule for Children Version IV |
Who may qualify
- Ages
- 7 to 12 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child
- Study population
- Patients who suspected attention-deficit/hyperactivity disorder conducted QEEG and diagnosed with DISC-IV
Key inclusion criteria (1 listed)
- Participants between 7 and 12 years of age diagnosed with ADHD according to the DSM-5 criteria were included in the study
Key exclusion criteria (2 listed)
- Children with a history of brain damage, neurological disorders, genetic disorders, substance dependence, epilepsy, or any other mental disorder were excluded from participation.
- Children with an IQ of 70 or lower according to the Korean-Wechsler Intelligence Scale for Children (Fourth Edition) or who were receiving drug treatment were also excluded from this study
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| electroencephalography absolute delta powerWe used MATLAB 7.0.1 (Math Works, Natick, MA, USA) and the EEGLAB toolbox to pre-process and analyze the EEG recordings. First, the EEG data were down-sampled to 250 Hz. Next, the EEG data were detrended and mean-subtracted to remove the DC component. A 1-Hz high-pass filter and a 60-Hz notch filter were applied to remove eye and electrical noise. Next, independent component analysis (ICA) was performed to remove the well-defined sources of artifacts. ICA has been shown to reliably isolate artifacts caused by eye and muscle movements and heart noise (23). Finally, clinical psychiatrists and EEG experts visually inspected the corrected EEGs. For the analysis, we selected more than two minutes of artifact-free EEG readings from the three-minute recordings | Diagnostic test | ADHD, ADHD NOS, NT NeuroTypical |
| electroencephalography relative delta powerWe used MATLAB 7.0.1 (Math Works, Natick, MA, USA) and the EEGLAB toolbox to pre-process and analyze the EEG recordings. First, the EEG data were down-sampled to 250 Hz. Next, the EEG data were detrended and mean-subtracted to remove the DC component. A 1-Hz high-pass filter and a 60-Hz notch filter were applied to remove eye and electrical noise. Next, independent component analysis (ICA) was performed to remove the well-defined sources of artifacts. ICA has been shown to reliably isolate artifacts caused by eye and muscle movements and heart noise (23). Finally, clinical psychiatrists and EEG experts visually inspected the corrected EEGs. For the analysis, we selected more than two minutes of artifact-free EEG readings from the three-minute recordings | Diagnostic test | ADHD, ADHD NOS, NT NeuroTypical |
| electroencephalography absolute theta powerWe used MATLAB 7.0.1 (Math Works, Natick, MA, USA) and the EEGLAB toolbox to pre-process and analyze the EEG recordings. First, the EEG data were down-sampled to 250 Hz. Next, the EEG data were detrended and mean-subtracted to remove the DC component. A 1-Hz high-pass filter and a 60-Hz notch filter were applied to remove eye and electrical noise. Next, independent component analysis (ICA) was performed to remove the well-defined sources of artifacts. ICA has been shown to reliably isolate artifacts caused by eye and muscle movements and heart noise (23). Finally, clinical psychiatrists and EEG experts visually inspected the corrected EEGs. For the analysis, we selected more than two minutes of artifact-free EEG readings from the three-minute recordings | Diagnostic test | ADHD, ADHD NOS, NT NeuroTypical |
| electroencephalography relative theta powerWe used MATLAB 7.0.1 (Math Works, Natick, MA, USA) and the EEGLAB toolbox to pre-process and analyze the EEG recordings. First, the EEG data were down-sampled to 250 Hz. Next, the EEG data were detrended and mean-subtracted to remove the DC component. A 1-Hz high-pass filter and a 60-Hz notch filter were applied to remove eye and electrical noise. Next, independent component analysis (ICA) was performed to remove the well-defined sources of artifacts. ICA has been shown to reliably isolate artifacts caused by eye and muscle movements and heart noise (23). Finally, clinical psychiatrists and EEG experts visually inspected the corrected EEGs. For the analysis, we selected more than two minutes of artifact-free EEG readings from the three-minute recordings | Diagnostic test | ADHD, ADHD NOS, NT NeuroTypical |
| electroencephalography absolute slow alpha powerWe used MATLAB 7.0.1 (Math Works, Natick, MA, USA) and the EEGLAB toolbox to pre-process and analyze the EEG recordings. First, the EEG data were down-sampled to 250 Hz. Next, the EEG data were detrended and mean-subtracted to remove the DC component. A 1-Hz high-pass filter and a 60-Hz notch filter were applied to remove eye and electrical noise. Next, independent component analysis (ICA) was performed to remove the well-defined sources of artifacts. ICA has been shown to reliably isolate artifacts caused by eye and muscle movements and heart noise (23). Finally, clinical psychiatrists and EEG experts visually inspected the corrected EEGs. For the analysis, we selected more than two minutes of artifact-free EEG readings from the three-minute recordings | Diagnostic test | ADHD, ADHD NOS, NT NeuroTypical |
| electroencephalography relative slow alpha powerWe used MATLAB 7.0.1 (Math Works, Natick, MA, USA) and the EEGLAB toolbox to pre-process and analyze the EEG recordings. First, the EEG data were down-sampled to 250 Hz. Next, the EEG data were detrended and mean-subtracted to remove the DC component. A 1-Hz high-pass filter and a 60-Hz notch filter were applied to remove eye and electrical noise. Next, independent component analysis (ICA) was performed to remove the well-defined sources of artifacts. ICA has been shown to reliably isolate artifacts caused by eye and muscle movements and heart noise (23). Finally, clinical psychiatrists and EEG experts visually inspected the corrected EEGs. For the analysis, we selected more than two minutes of artifact-free EEG readings from the three-minute recordings | Diagnostic test | ADHD, ADHD NOS, NT NeuroTypical |
| electroencephalography absolute fast alpha powerWe used MATLAB 7.0.1 (Math Works, Natick, MA, USA) and the EEGLAB toolbox to pre-process and analyze the EEG recordings. First, the EEG data were down-sampled to 250 Hz. Next, the EEG data were detrended and mean-subtracted to remove the DC component. A 1-Hz high-pass filter and a 60-Hz notch filter were applied to remove eye and electrical noise. Next, independent component analysis (ICA) was performed to remove the well-defined sources of artifacts. ICA has been shown to reliably isolate artifacts caused by eye and muscle movements and heart noise (23). Finally, clinical psychiatrists and EEG experts visually inspected the corrected EEGs. For the analysis, we selected more than two minutes of artifact-free EEG readings from the three-minute recordings | Diagnostic test | ADHD, ADHD NOS, NT NeuroTypical |
| electroencephalography relative fast alpha powerWe used MATLAB 7.0.1 (Math Works, Natick, MA, USA) and the EEGLAB toolbox to pre-process and analyze the EEG recordings. First, the EEG data were down-sampled to 250 Hz. Next, the EEG data were detrended and mean-subtracted to remove the DC component. A 1-Hz high-pass filter and a 60-Hz notch filter were applied to remove eye and electrical noise. Next, independent component analysis (ICA) was performed to remove the well-defined sources of artifacts. ICA has been shown to reliably isolate artifacts caused by eye and muscle movements and heart noise (23). Finally, clinical psychiatrists and EEG experts visually inspected the corrected EEGs. For the analysis, we selected more than two minutes of artifact-free EEG readings from the three-minute recordings | Diagnostic test | ADHD, ADHD NOS, NT NeuroTypical |
| electroencephalography absolute beta powerWe used MATLAB 7.0.1 (Math Works, Natick, MA, USA) and the EEGLAB toolbox to pre-process and analyze the EEG recordings. First, the EEG data were down-sampled to 250 Hz. Next, the EEG data were detrended and mean-subtracted to remove the DC component. A 1-Hz high-pass filter and a 60-Hz notch filter were applied to remove eye and electrical noise. Next, independent component analysis (ICA) was performed to remove the well-defined sources of artifacts. ICA has been shown to reliably isolate artifacts caused by eye and muscle movements and heart noise (23). Finally, clinical psychiatrists and EEG experts visually inspected the corrected EEGs. For the analysis, we selected more than two minutes of artifact-free EEG readings from the three-minute recordings | Diagnostic test | ADHD, ADHD NOS, NT NeuroTypical |
| electroencephalography relative beta powerWe used MATLAB 7.0.1 (Math Works, Natick, MA, USA) and the EEGLAB toolbox to pre-process and analyze the EEG recordings. First, the EEG data were down-sampled to 250 Hz. Next, the EEG data were detrended and mean-subtracted to remove the DC component. A 1-Hz high-pass filter and a 60-Hz notch filter were applied to remove eye and electrical noise. Next, independent component analysis (ICA) was performed to remove the well-defined sources of artifacts. ICA has been shown to reliably isolate artifacts caused by eye and muscle movements and heart noise (23). Finally, clinical psychiatrists and EEG experts visually inspected the corrected EEGs. For the analysis, we selected more than two minutes of artifact-free EEG readings from the three-minute recordings | Diagnostic test | ADHD, ADHD NOS, NT NeuroTypical |
| Korean ADHD rating scaleThe KARS is a standardized screening tool for ADHD in Korean children and rating scale completed by the parents. | Diagnostic test | ADHD, ADHD NOS, NT NeuroTypical |
| Korean Version of Diagnostic Interview Schedule for Children Version IVThe DISC-IV is a structured diagnostic tool that was developed for use in epidemiological studies in children and adolescents | Diagnostic test | ADHD, ADHD NOS, NT NeuroTypical |
Primary outcome
QEEG topographical plots of the results of the statistical comparisons to normative values (z-scores) using Neuroguide software
Time frame: through study completion, an average of 1 year
The investigators measures QEEG on first outpatient clinic and conduct topography for mapping
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 20 Feb 2024.
- Individual participant dataSharing planned: No. Data will be shared on request for proper reason
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Attention Deficit Hyperactivity Disorder and Psychiatric Diagnosis, run by Daegu Catholic University Medical Center at 1 site in South Korea.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 20 Feb 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in South Korea. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
QEEG topographical plots of the results of the statistical comparisons to normative values (z-scores) using Neuroguide software (time frame: through study completion, an average of 1 year). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 20 Feb 2024.