Analysis of brain patterns using temporal measures

Georgopoulos, Apostolos

Analysis of brain patterns using temporal measures

Patent · 11 August 2015

OSTI ID:1209483

Georgopoulos, Apostolos

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.

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Research Organization:: Univ. of Minnesota, Minneapolis, MN (United States)

Sponsoring Organization:: USDOE

DOE Contract Number:: FG02-99ER62764

Assignee:: Regents of the University of Minnesota (Minneapolis, MN)

Patent Number(s):: 9,101,276

Application Number:: 11/825,509

OSTI ID:: 1209483

Country of Publication:: United States

Language:: English

References (24)

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