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Exploring the Relationship Between Depression and Attention-Deficit/Hyperactivity Disorder Symptoms in Children Using
Jinuk Kim1, Sang-Woo Hahn2, Wayne Warburton3
1Institute for Basic Science, Sungkyunkwan University, Suwon, Republic of Korea.
Insights
In children with attention-deficit/hyperactivity disorder (ADHD), specific brainwave activities correlate with symptom severity. Delta brainwaves may indicate depression, while alpha and theta waves reflect ADHD symptom intensity.
Area of Science:
- Neuroscience
- Child Psychology
- Psychiatry
Background:
- Depression frequently co-occurs with attention-deficit/hyperactivity disorder (ADHD) in children.
- The neurophysiological basis linking ADHD symptoms and depression requires further investigation.
Purpose of the Study:
- To explore the neurophysiological underpinnings of depression comorbidity in children with ADHD.
- To identify potential brainwave markers for ADHD symptom severity and depression.
Main Methods:
- A cross-sectional study involving 87 children diagnosed with ADHD.
- Quantitative electroencephalography (qEEG) recordings were analyzed.
- Correlations between qEEG spectral power and symptom severity (ADHD, depression, anxiety) were examined.
Main Results:
- Negative correlation between frontal, central, and parietal theta activity and ADHD symptom severity.
- Positive correlation between alpha activity in the same regions and ADHD symptom severity.
- Negative correlation between delta activity and depression severity.
Conclusions:
- Alpha and theta activity may serve as neurophysiological markers for ADHD symptom severity.
- Delta activity could be a biological marker for depression severity in children with ADHD.
- Further research is recommended to validate these findings.
Objective:
Although depression is a common comorbidity in children with attention-deficit/hyperactivity disorder (ADHD), its neurophysiological relationship according to each symptom has rarely been explored. This study aimed to inform clinical practice by exploring the neurophysiological underpinnings of depression comorbidity in ADHD.
Methods:
We conducted a cross-sectional study of 87 children with ADHD (68 males). Resting quantitative electroencephalography (qEEG) recordings were collected with eyes closed. We used various questionnaires to evaluate ADHD symptoms severity, depression, and anxiety. Pearson correlation coefficients were used to investigate the relationship between the z-score relative spectral power of qEEG and each psychological symptom. Data were analyzed using IBM SPSS 27.0.
Results:
The study's findings indicated that theta activity at the frontal, central, and parietal locations had a negative correlation with the severity of ADHD symptoms in children diagnosed with ADHD. In contrast, alpha activity in these same regions demonstrated a positive correlation with ADHD symptom severity. Additionally, delta activity in the regions was negatively correlated with depression severity.
Conclusion:
These findings suggest that alpha and theta activity might serve as a reliable neurophysiological marker of ADHD symptom severity, while delta activity might function as a reliable biological marker of depression severity in children with ADHD. However, further research is needed to generalize the results of this study.
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