System and method for identifying a focal area of abnormal network interactions in the brain
AssigneesLouisiana Tech University Research Foundation, The Cleveland Clinic Foundation
InventorsLeonidas D. Iasemidis, Ioannis Vlachos, Balu Krishnan, Andreas Alexopoulos
Life of this patent
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Abstract
One aspect of the present disclosure relates to a system that can identify a focal area of abnormal brain interactions in a subject. Time series data can be received that corresponds to recordings from a plurality of regions in a brain of the subject during a resting period. Based on the time series data, an information inflow associated with each of the plurality of regions can be determined. The focal area of the abnormal brain interactions can be identified as one of the plurality of regions having a maximum information inflow.
Claims20
A system that identifies a focal area of abnormal brain interactions in a subject, the system comprising:
- a non-transitory memory storing computer-executable instructions;
- and
- a processor that executes the computer-executable instructions to at least:
- receive time series data from a plurality of regions in a brain of the subject recorded during a resting period;
- determine an information inflow associated with each of the plurality of regions based on the time series data;
- and
- identify the focal area of the abnormal brain interactions as one of the plurality of regions having a maximum information inflow.
A method for identifying a focal area of abnormal brain interactions in a subject, the method comprising the steps of:
- receiving, by a system comprising a processor, time series data from a plurality of regions in a brain of the subject recorded during a resting period;
- determining, by the system, an information inflow corresponding to each of the plurality of regions based on the time series data;
- comparing, by the system, the information inflow corresponding to each of the plurality of regions;
- and
- identifying, by the system, the focal area as one of the identified regions exhibiting a maximum information inflow.
A method for diagnosing a neurological disorder characterized by one or more focal areas of abnormal brain interactions in a subject, the method comprising the steps of:
- receiving, by a system comprising a processor, time series data from a plurality of regions in the brain of the subject recorded during a resting period;
- determining, by the system, an information inflow corresponding to each of the plurality of regions;
- comparing, by the system, the information inflow associated with each of the regions to determine the presence of one or more focal areas exhibiting a maximum information inflow;
- and
- diagnosing, by the system, the neurological disorder based on the presence of one or more focal areas.
Dependencies are inferred from the claim text.