Abstract:In early 2013, the National Institute of Mental Health (NIMH) launched theResearch Domain Criteria (RDoC), in an effort to evolve the diagnostic processby incorporating a multidisciplinary approach that relies not only on symptoms,but also on genetics, neuroimaging, and cognitive science. This movement awayfrom the traditional categorization of the Diagnostic and Statistical Manual(DSM) towards a science-based classification highlights the importance ofpsychiatry fully exploring the potential of avail- able electrophysiologicaltesting. There are previous classifications of ADHD by Joel Lubar and DanielAmen. However, our five-year research (N=386 pending publication) led to thedevelopment 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 byneurofeedback practitioners. There is not a layman’s equivalent to the namesused in this suggested classification. To date, the application of clinical EEGand qEEG have been very limited in psychiatry, although studies suggesteffective application in diagnosis, medication response, and treatmentselection (Coburn, Lauterbach, Boutros, Black, Arciniegas, & Coffey, 2006).Neuro- biomarkers specific to ADHD symptom presentation are numerous andaccount for the variance in treatment response (Johnstone, Gunkelman, &Lunt, 2005). are identified through testing, behavioral observation, andself-report; however, the diagnostic specificity of these approaches is limitedby the fact that many similar issues can cause identical symptoms.
