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Using Brain Activation (nir-HEG/Q-EEG) and Execution Measures (CPTs) in a ADHD Assessment Protocol
Published on: April 1, 2018
Source-level connectivity and alpha dynamics across attention-deficit hyperactivity disorder (ADHD) clinical
Ruina Sun1, Hua Yu2, Haixian Wang1
1Key Laboratory of Child Development and Learning Science of the Ministry of Education, School of Biological Science & Medical Engineering, Southeast University, Nanjing, Jiangsu, P.R. China.
Attention deficit hyperactivity disorder (ADHD) presentations differ in brain network organization. ADHD combined presentation (ADHD-C) shows distinct alpha-band activity compared to ADHD inattentive presentation (ADHD-I).
Area of Science:
- Neuroscience
- Psychiatry
- Brain Imaging
Background:
- Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder with distinct clinical presentations.
- Understanding the neurophysiological underpinnings of these presentations is crucial for targeted interventions.
- Previous research suggests alterations in brain connectivity and activity in ADHD, but differences between subtypes require further investigation.
Purpose of the Study:
- To differentiate between the combined (ADHD-C) and predominantly inattentive (ADHD-I) presentations of ADHD using neurophysiological markers.
- To investigate group-level differences in resting-state electroencephalogram (EEG) data between ADHD subtypes and typically developing controls.
- To explore the relationship between specific EEG features and clinical symptom severity.
Main Methods:
- Utilized source-localized power envelope connectivity (PEC) and sensor-level individualized alpha frequency (IAF) analysis on resting-state EEG data.
- Analyzed data from 99 children with ADHD (46 ADHD-I, 53 ADHD-C) and 19 typically developing children.
- Performed source-level, sensor-level, and correlation analyses to identify group and symptom-related differences.
Main Results:
- Differences between ADHD-C and ADHD-I were primarily localized within alpha-band networks, including fronto-occipital and frontoparietal circuits.
- ADHD-C exhibited higher parietal individualized alpha peak frequency compared to ADHD-I.
- Lower alpha frequency correlated with higher hyperactivity-impulsivity scores in ADHD-I, and both ADHD groups showed reduced alpha power compared to controls.
Conclusions:
- ADHD-I and ADHD-C present with distinct patterns of alpha-band network organization and modulation.
- Neurophysiological differences are frequency- and network-specific, rather than global.
- These findings support the existence of distinct neurobiological profiles for ADHD subtypes.
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