Introducing a novel approach of network oriented analysis of ERPs, demonstrated on adult attention deficit hyperactivity disorder.


OBJECTIVE Introducing a network-oriented analysis method (brain network activation [BNA]) of event related potential (ERP) activities and evaluating its value in the identification and severity-grading of adult ADHD patients. METHODS Spatio-temporal interrelations and synchronicity of multi-sited ERP activity peaks were extracted in a group of 13 ADHD patients and 13 control subjects for the No-go stimulus in a Go/No-go task. Participants were scored by cross-validation against the most discriminative ensuing group patterns and scores were correlated to neuropsychological evaluation scores. RESULTS A distinct frontal-central-parietal pattern in the delta frequency range, dominant at the P3 latency, was unraveled in controls, while central activity in the theta and alpha frequency ranges predominated in the ADHD pattern, involving early ERP components (P1-N1-P2-N2). Cross-validation based on this analysis yielded 92% specificity and 84% sensitivity and individual scores correlated well with behavioral assessments. CONCLUSIONS These results suggest that the ADHD group was more characterized by the process of exerting attention in the early monitoring stages of the No-go signal while the controls were more characterized by the process of inhibiting the response to that signal. SIGNIFICANCE The BNA method may provide both diagnostic and drug development tools for use in diverse neurological disorders.

DOI: 10.1016/j.clinph.2011.12.010
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@article{Shahaf2012IntroducingAN, title={Introducing a novel approach of network oriented analysis of ERPs, demonstrated on adult attention deficit hyperactivity disorder.}, author={Goded Shahaf and Amit Reches and Nataliya Pinchuk and Tali Fisher and G Ben Bashat and Ayelet Kanter and Ilja Tauber and D. H. Kerem and Ilan Laufer and Judith Aharon-Peretz and Hillel Pratt and Amir B. Geva}, journal={Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology}, year={2012}, volume={123 8}, pages={1568-80} }