Electroencephalography based systems and methods for selecting therapies and predicting outcomes
First Claim
1. A method for identifying an outcome of at least a first treatment comprising:
- a) providing a first electroencephalogram;
b) scaling said first electroencephalogram to enable comparison with a treatment-response database, wherein said database comprises stored electroencephalographic information obtained from a first plurality of subjects;
c) computing at least one indicative variable from said first electroencephalogram; and
d) identifying a cluster derived from said database under conditions that predict at least a first outcome of a first treatment prior to actually administering said first treatment, wherein said cluster comprises a second plurality of subjects and at least eighty percent of said second plurality of subjects have a common response to said first treatment.
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Abstract
A method and system for utilizing neurophysiologic information obtained by techniques such as quantitative electroencephalography (QEEG), electrode recordings, MRI in appropriately matching patients with therapeutic entities is disclosed. The present invention enables utilization of neurophysiologic information, notwithstanding its weak correlation with extant diagnostic schemes for mental disorders, for safer and expeditious treatment for mental disorders, discovering new applications for therapeutic entities, improved testing of candidate therapeutic entities, inferring the presence or absence of a desirable response to a treatment, and deducing the mode of action of one or more therapeutic entities. In particular, methods for effectively comparing neurophysiologic information relative to a reference set are disclosed along with database-based tools for deducing therapeutic entity actions on particular patients such that these tools are readily accessible to remote users.
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Citations
39 Claims
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1. A method for identifying an outcome of at least a first treatment comprising:
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a) providing a first electroencephalogram; b) scaling said first electroencephalogram to enable comparison with a treatment-response database, wherein said database comprises stored electroencephalographic information obtained from a first plurality of subjects; c) computing at least one indicative variable from said first electroencephalogram; and d) identifying a cluster derived from said database under conditions that predict at least a first outcome of a first treatment prior to actually administering said first treatment, wherein said cluster comprises a second plurality of subjects and at least eighty percent of said second plurality of subjects have a common response to said first treatment. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A method for identifying an outcome of at least a first treatment, comprising:
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a) providing a first electroencephalogram; b) scaling said first electroencephalogram to enable comparison with a treatment-response database, wherein said database comprises a plurality of first indicative variables; c) computing at least one second indicative variable derived from said first electroencephalogram; and d) evaluting said at least one second indicative variable using a plurality of rules associated with said plurality of first indicative variables under conditions that predict at least a first outcome of a first treatment prior to actually administering said first treatment. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39)
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Specification