Abstract

QEEG driven neurofeedback relies on a statistical threshold of significance to define pathology. Many, if not most, clinicians would describe abnormal brain electrical activity as two standard deviations from the mean value being assessed. This threshold is not always achieved in networks of function in a clinical setting. When this occurs it becomes necessary to analyze brain structures most often related to pathological behavior with a lower statistical threshold. Clinical experience with sLORETA/LORETA training has led to the establishment of a hierarchical set of regions of interest (ROI) that most often lead to clinical success.