Patent Document ID: 8224433
Application ID: 12575297
Patent Flag: 1

Claim One:
1. A method of predicting an outcome of a first treatment based on neurophysiologic information obtained from a patient, comprising: a) scaling said patient neurophysiologic information to enable comparison with stored neurophysiologic information obtained from a response database, wherein said stored neurophysiologic information comprises pre-treatment neurophysiologic information and responses to said first treatment in the form of active-treatment neurophysiologic information from a plurality of subjects, b) computing at least one patient indicative variable from said patient neurophysiologic information comprising the steps of; i) screening said scaled patient neurophysiologic information with said response database, wherein said response database comprises clusters of said pre-treatment neurophysiologic information associated with said plurality of subjects, wherein said plurality of subjects responses to said first treatment are similar; ii) identifying said clusters as a region in a multidimensional space defined by a range of values of unitary variables such that a threshold number of subjects having said similar response to said first treatment are included in said region; and iii) identifying said range of values of unitary variables describing said region wherein a set of unitary variables having values shared by said threshold number of subjects within said cluster forms at least one multivariable wherein said at least one multivariable is said at least one patient indicative variable; and c) evaluating said at least one patient indicative variable with the aid of at least one rule implemented on a computing machine in order to predict said outcome of said first treatment prior to actually administering said first treatment to said patient and wherein said method is conducted on said patient independent of a behavioral mental disease diagnosis of, or behavioral data from said patient.