Neuropsychological spatiotemporal pattern recognition
First Claim
1. A system for brain activity analysis, the system comprising:
- an input module for receiving EEG and/or MEG signals from a subject;
a processor, configured for identifying brain activity patterns in said signals using a counting method or method of calculating statistical significances of pairs, for identifying a plurality of candidate pathways for said brain activity patters, for defining flow patterns among functional brain regions based on candidate pathways, for accessing a flow pattern database having previously determined flow patterns, and for comparing said flow pattern to said previously determined flow patterns of said database; and
an output module for presenting results of said comparison.
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Abstract
Systems and methods for identifying and analyzing neuropsychological flow patterns, include creating a knowledge base of neuropsychological flow patterns. The knowledge base is formed by obtaining signals from multiple research groups for particular behavioral processes, localizing sources of activity participating in the particular behavioral processes, identifying sets of patterns of brain activity for the behavioral processes and neuropsychologically analyzing the localized sources and the identified patterns for each of the research groups. The neuropsychological analysis includes identifying all possible pathways for the identified sets of patterns, ranking the possible pathways based on likelihood for the particular behavioral process and reducing the number of ranked possible pathways based on additional constraints. A system for comparison of obtained signals from an individual to the created knowledge base is provided. These obtained signals are then used to further update the existing knowledge base.
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Citations
18 Claims
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1. A system for brain activity analysis, the system comprising:
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an input module for receiving EEG and/or MEG signals from a subject; a processor, configured for identifying brain activity patterns in said signals using a counting method or method of calculating statistical significances of pairs, for identifying a plurality of candidate pathways for said brain activity patters, for defining flow patterns among functional brain regions based on candidate pathways, for accessing a flow pattern database having previously determined flow patterns, and for comparing said flow pattern to said previously determined flow patterns of said database; and an output module for presenting results of said comparison. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method of analysis, comprising:
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operating an array of EEG and/or MEG electrodes for receiving EEG and/or MEG signals from a subject; operating a processor for identifying brain activity patterns in said signals using a counting method or method of calculating statistical significances of pairs, for identifying a plurality of candidate pathways for said brain activity patterns, for defining flow patterns among functional brain regions based on candidate pathways, for accessing a flow pattern database having previously determined flow patterns, and for comparing said flow pattern to said previously determined flow patterns of said database; and evaluating said subject based on said comparison. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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Specification