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Quantitative EEG differences in a nonclinical sample of children with ADHD and undifferentiated ADD
S Kuperman1, B Johnson, S Arndt
1Department of Psychiatry, University of Iowa College of Medicine, Iowa City, USA.
Insights
Quantitative electroencephalography (EEG) identified distinct brainwave patterns in children with attention-deficit hyperactivity disorder (ADHD) and undifferentiated attention deficit disorder (UADD), aiding in subtype differentiation.
Area of Science:
- Neuroscience
- Child Psychology
- Psychophysiology
Background:
- Attention-deficit hyperactivity disorder (ADHD) and undifferentiated attention deficit disorder (UADD) are distinct diagnostic categories.
- Electrophysiological differences between these subtypes are not well-established.
Purpose of the Study:
- To differentiate between ADHD, UADD, and control groups using quantitative electroencephalographic (EEG) techniques.
- To identify specific spectral EEG and evoked response potential (ERP) markers for each group.
Main Methods:
- Forty children (7-13 years) diagnosed with ADHD (n=16), UADD (n=12), or no disruptive disorder (n=12) were assessed.
- Quantitative spectral EEG and ERP analyses were performed.
Main Results:
- UADD group showed decreased delta band relative percent power (RPP) and increased beta band RPP, alongside decreased rare tone P300 amplitude.
- ADHD group exhibited increased beta band RPP, increased common tone N100 latency, and decreased rare tone P300 amplitude.
- Interhemispheric asymmetries in spectral EEG distinguished UADD, while ERP asymmetries distinguished ADHD.
Conclusions:
- Quantitative EEG methods show promise in distinguishing between ADHD and UADD subtypes.
- Specific EEG and ERP patterns may serve as biomarkers for attention and hyperactivity disorders.
Objective:
To use quantitative electroencephalographic (EEG) techniques to identify electrophysiological differences between children with distinct disorders of attention and/or hyperactivity.
Method:
Forty children from a prescreened community sample were evaluated by means of both spectral EEG and evoked response potential (ERP) techniques. The children were 7 to 13 years of age and were selected on the basis of membership in one of the following DSM-III-R categories: attention-deficit hyperactivity disorder (ADHD) (n = 16), undifferentiated attention deficit disorder (UADD) (n = 12), or no disruptive disorder diagnosis (n = 12).
Results:
Spectral EEG revealed that UADD subjects had less delta band relative percent power (RPP) (p < .01), more beta band RPP (p < .01), and ERP findings of a decreased rare tone P300 amplitude (p < .02) compared with the control group. ADHD subjects had spectral EEG findings of increased beta band RPP (p < .05) and ERP findings of an increased common tone N100 latency (p < .02) and a decreased rare tone P300 amplitude (p < .02). Interhemispheric asymmetries appeared to distinguish the groups: the UADD group had spectral EEG asymmetries; the ADHD group had only ERP asymmetries; and the control group had no asymmetries.
Conclusion:
Quantitative EEG techniques may prove useful in differentiating specific subtypes of ADHD.