System and method of prediction of response to neurological treatment using the electroencephalogram
First Claim
1. A system for predicting response to treatment of a neurological disorder comprising:
- at least two electrodes for acquiring at least one electrophysiological signal from the body;
a processor for calculating from said at least one electrophysiological signal at least one feature relating to the response to said treatment without comparing said at least one feature to a reference dataset, at least one of the at least one electrophysiological signal being acquired before the initiation of said treatment and one of said at least one feature being a prediction of the effectiveness of a treatment in achieving a change in a self-reported mood or anxiety score or a prediction of response to a treatment in achieving a change in a self-reported mood or anxiety score;
wherein said processor calculates at least two features and combines said at least two features into an index.
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Accused Products
Abstract
Disclosed is a system and method of assessing the efficacy of and predicting response to treatment of neurological or psychological disorders. The preferred embodiment uses at least two surface electrodes to acquire EEG signals from the surface of a patient'"'"'s body, a processor for computing from the EEG signals various features and indices that are representative of the patient'"'"'s neurological or psychological state. Pretreatment indices represent a patient'"'"'s neurological or psychological state and therefore may be used to predict the response to treatment. Changes in these parameters may be used to assess the efficacy of treatment and to modify the treatment to optimize the resultant patient state.
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Citations
34 Claims
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1. A system for predicting response to treatment of a neurological disorder comprising:
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at least two electrodes for acquiring at least one electrophysiological signal from the body; a processor for calculating from said at least one electrophysiological signal at least one feature relating to the response to said treatment without comparing said at least one feature to a reference dataset, at least one of the at least one electrophysiological signal being acquired before the initiation of said treatment and one of said at least one feature being a prediction of the effectiveness of a treatment in achieving a change in a self-reported mood or anxiety score or a prediction of response to a treatment in achieving a change in a self-reported mood or anxiety score;
wherein said processor calculates at least two features and combines said at least two features into an index. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A system for predicting response to treatment of a neurological disorder comprising:
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at least two electrodes for acquiring at least one electrophysiological signal from the body; a processor for calculating from said at least one electrophysiological signal at least one feature relating to the response to said treatment without comparing said at least one feature to a reference dataset, at least one of the at least one electrophysiological signal being acquired before the initiation of said treatment and one of said at least one feature being a prediction of the effectiveness of a treatment in achieving a change in a self-reported mood or anxiety score or a prediction of response to a treatment in achieving a change in a self-reported mood or anxiety score;
wherein said feature is the interhemispheric difference in a metric calculated from each electrophysiological signal. - View Dependent Claims (15, 16)
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17. A system for predicting response to treatment of a neurological disorder comprising:
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at least two electrodes for acquiring electrophysiological signals from a body; data acquisition circuitry for acquiring from said electrodes a first electrophysiological signal representing a baseline condition and a second electrophysiological signal representing a subsequent condition, said first electrophysiological signal being acquired before the initiation of said treatment; a processor for calculating from said electrophysiological signals received from the data acquisition circuitry; (a) at least one feature relating to the patient state during the baseline condition without comparing said at least one feature relating to the patient state during the baseline condition to a reference data set; (b) at least one feature relating to the patient state during the subsequent condition without comparing said at least one feature relating to the patient state during the subsequent condition to a reference dataset; and (c) the difference between said features relating to the baseline and subsequent conditions, such that said difference relates to a prediction of a change in a self-reported mood or anxiety score.
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18. A method of predicting response to treatment of a neurological disorder comprising the steps of:
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acquiring electrophysiological signals from a body through electrodes placed on the body; calculating, using a processor, from said electrophysiological signals at least two features relating to the response to said treatment without comparing said at least two features to a reference dataset, at least one of said electrophysiological signals being acquired before the initiation of said treatment and one of said features being a prediction of the effectiveness of a treatment in achieving a change in a self reported mood or anxiety score; and combining the at least two features into an index. - View Dependent Claims (19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30)
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31. A method of predicting response to treatment of a neurological disorder comprising the steps of:
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acquiring electrophysiological signals from a body through electrodes placed on the body; calculating, using a processor, from said electrophysiological signals at least one feature relating to the response to said treatment without comparing said at least one feature to a reference dataset, at least one of said electrophysiological signals being acquired before the initiation of said treatment and one of said at least one feature being a prediction of the effectiveness of a treatment in achieving a change in a self reported mood or anxiety score;
wherein said feature is the interhemispheric difference in a metric calculated from each electrophysiological signal. - View Dependent Claims (32, 33)
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34. A method of predicting response to treatment of a neurological disorder comprising:
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positioning a least two electrodes on a body being treated; acquiring a first electrophysiological signal from the body at a baseline condition; acquiring a second electrophysiological signal from the body during a subsequent condition, said first electrophysiological signal being acquired before the initiation of said treatment; calculating at least one feature relating to the patient state during the baseline condition without comparing said at least one feature relating to the patient state during the baseline condition to a reference dataset; calculating at least one feature relating to the patient state during the subsequent condition without comparing said at least one feature relating to the patient state during the subsequent condition to a reference dataset; calculating, using a processor, the difference between the features calculated during the baseline and subsequent conditions, such that the difference relates to a change in a self-reported mood or anxiety score.
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Specification