Dynamical nonstationarity of resting EEGs in patients with attention-deficit/hyperactivity disorder (AD/HD).
- Authors
- Latchoumane, Charles-Francois V; Kim, In-Hye; Sohn, Hansem; Jeong, Jaeseung
- Year
- 2013
- Journal
- IEEE transactions on bio-medical engineering
- PMID
- 22955863
- DOI
- 10.1109/TBME.2012.2213598
This study applied dynamical nonstationarity analysis (DNA) to the resting EEGs of patients with attention-deficit/hyperactivity disorder (AD/HD). We aimed to assess and characterize AD/HD using features based on the local and global duration of dynamical microstate. We hypothesized that AD/HD patients would have difficulties in maintaining stable cognitive states (e.g., attention deficit and impulsivity) and that they would thus exhibit EEGs with temporal dynamics distinct from normal controls, i.e., rapidly and frequently changing dynamics. To test this hypothesis, we recorded EEGs from 12 adolescent subjects with AD/HD and 11 age-matched healthy subjects in the resting state with eyes closed and eyes open. We found that AD/HD patients exhibited significantly faster changes in dynamics than controls in the right temporal region during the eyes closed condition, but slower changes in dynamics in the frontal region during the eyes open condition. AD/HD patients exhibited a disruption in the rate of change of dynamics in the frontotemporal region at rest, probably due to executive and attention processes. We suggest that the DNA using complementary local and global features based on the duration of dynamical microstates could be a useful tool for the clinical diagnosis of subjects with AD/HD.
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| Advances in Electrophysiological Research. | 2015 | 26259089 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| EEG Microstates in the Study of Attention-Deficit Hyperactivity Disorder: A Review of Preliminary Evidence. | Berchio C et al. | β | 2025 | β |
| Effects of Microstate Dynamic Brain Network Disruption in Different Stages of Schizophrenia. | Yan T et al. | β | 2023 | β |
| Advances in Electrophysiological Research. | Kamarajan C et al. | β | 2015 | β |
| Decoding covert motivations of free riding and cooperation from multi-feature pattern analysis of EEG signals. | Chung D et al. | β | 2015 | β |
| Abnormal dynamics of EEG oscillations in schizophrenia patients on multiple time scales. | Sun J et al. | β | 2014 | β |