| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 3043973 | Clinical Neurophysiology | 2011 | 9 Pages |
ObjectiveIntrinsic complexity subserves adaptability in biological systems. One recently developed measure of intrinsic complexity of biological systems is multiscale entropy (MSE). Autism spectrum conditions (ASC) have been described in terms of reduced adaptability at a behavioural level and by patterns of atypical connectivity at a neural level. Based on these observations we aimed to test the hypothesis that adults with ASC would show atypical intrinsic complexity of brain activity as indexed by MSE analysis of electroencephalographic (EEG) activity.MethodsWe used MSE to assess the complexity of EEG data recorded from 15 participants with ASC and 15 typical controls, during a face and chair matching task.ResultsResults demonstrate a reduction of EEG signal complexity in the ASC group, compared to typical controls, over temporo-parietal and occipital regions. No significant differences in EEG power spectra were observed between groups, indicating that changes in complexity values are not a reflection of changes in EEG power spectra.ConclusionsThe results are consistent with a model of atypical neural integrative capacity in people with ASC.SignificanceResults suggest that EEG complexity, as indexed by MSE measures, may also be a marker for disturbances in task-specific processing of information in people with autism.
► EEG complexity was compared between adults with autistic spectrum conditions (ASC) and control participants, whilst performing a social and a non-social task. ► The ASC group showed reduced complexity compared to the control group in both tasks, in parietal and occipital regions of the cortex. ► Both groups had relatively greater EEG complexity for the social, compared to the non-social task.
