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Title: Analysis of brain patterns using temporal measures

A set of brain data representing a time series of neurophysiologic activity acquired by spatially distributed sensors arranged to detect neural signaling of a brain (such as by the use of magnetoencephalography) is obtained. The set of brain data is processed to obtain a dynamic brain model based on a set of statistically-independent temporal measures, such as partial cross correlations, among groupings of different time series within the set of brain data. The dynamic brain model represents interactions between neural populations of the brain occurring close in time, such as with zero lag, for example. The dynamic brain model can be analyzed to obtain the neurophysiologic assessment of the brain. Data processing techniques may be used to assess structural or neurochemical brain pathologies.
Issue Date:
OSTI Identifier:
Regents of the University of Minnesota (Minneapolis, MN) CHO
Patent Number(s):
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Resource Relation:
Patent File Date: 2007 Jul 06
Research Org:
Regents of the University of Minnesota, Minneapolis, MN (United States)
Sponsoring Org:
Country of Publication:
United States

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