In early 2013, the National Institute of Mental Health (NIMH) launched the Research Domain Criteria (RDoC), in an effort to evolve the diagnostic process by incorporating a multidisciplinary ap- proach that relies not only on symptoms, but also on genetics, neuroimaging, and cognitive science. This movement away from the traditional categorization of the Diagnostic and Statistical Manual (DSM) towards a science-based classification highlights the importance of psychiatry fully exploring the potential of avail- able electrophysiological testing. There are previous classifications of ADHD by Joel Lubar and Daniel Amen. However, our five year research (N=386 pending publication) led to the development of a neurobiomarker profiling model which we use in our clinic. Based on clinically correlated electroencephalogram (EEG) and quantitative EEG (qEEG) findings, our model is both concise and suitable to application by neurofeedback practi- tioners. There is not a layman’s equiva-lent to the names used in this suggested classification. To date, the application of clinical EEG and qEEG have been very limited in psychiatry, although studies suggest effective application in diagnosis, medication response, and treatment selection (Coburn, Lauterbach, Boutros, Black, Arciniegas, & Coffey, 2006). Neuro- biomarkers specific to ADHD symptom presentation are numerous and account for the variance in treatment response (Johnstone, Gunkelman, & Lunt, 2005). are identified through testing, behav- ioral observation, and self-report; how- ever, the diagnostic specificity of these approaches is limited by the fact that many similar issues can cause identical symptoms.
