ABSTRACT
The field of QEEG driven neurofeedback training has promoted the process of identifying pathology through a statistical analysis of brain indices that link deviance to locations within networks of function. The definition of pathology relies on a statistical definition of deviance: two standard deviations removed from the mean value being measured. This process has been successful in clinical practice. There are clients whose brain maps do not conform to this standard of deviance within functional networks. A clinical approach that associates brain areas with behavior and lowers the statistical standard has been successful in providing targets for neurofeedback training. Advancements in neurofeedback software, specifically sLORETA training and real-time analytics, have allowed for a powerful means of intervention beyond the traditional database driven protocols.
