Analysis of brain patterns using temporal measures
Abstract
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.
- Inventors:
- Issue Date:
- Research Org.:
- Univ. of Minnesota, Minneapolis, MN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1209483
- Patent Number(s):
- 9101276
- Application Number:
- 11/825,509
- Assignee:
- Regents of the University of Minnesota (Minneapolis, MN)
- Patent Classifications (CPCs):
-
A - HUMAN NECESSITIES A61 - MEDICAL OR VETERINARY SCIENCE A61B - DIAGNOSIS
G - PHYSICS G16 - INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS G16H - HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- DOE Contract Number:
- FG02-99ER62764
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2007 Jul 06
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 62 RADIOLOGY AND NUCLEAR MEDICINE
Citation Formats
Georgopoulos, Apostolos. Analysis of brain patterns using temporal measures. United States: N. p., 2015.
Web.
Georgopoulos, Apostolos. Analysis of brain patterns using temporal measures. United States.
Georgopoulos, Apostolos. Tue .
"Analysis of brain patterns using temporal measures". United States. https://www.osti.gov/servlets/purl/1209483.
@article{osti_1209483,
title = {Analysis of brain patterns using temporal measures},
author = {Georgopoulos, Apostolos},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Aug 11 00:00:00 EDT 2015},
month = {Tue Aug 11 00:00:00 EDT 2015}
}
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