Patent ID: 8311622
Filing Date: 2012-11-13
Classification: A61B

Abstract:
1. A computer operable method for analyzing and assessing a mood disorder in a person, comprising: receiving, in the computer, a plurality of data sets of electroencephalography data associated with the person, each data set comprising a plurality of epochs, the plurality of data sets including at least one static component corresponding to a baseline level of behavioral functioning of the person and including at least one dynamic component corresponding to an acute level of behavioral expression of the person, the plurality of data sets representing similar collection conditions for the person; determining, by operation of the computer, the static component of a portion of the plurality of data sets, wherein the portion comprises data from each of multiple epochs of the plurality of data sets, wherein the static component is independent of the dynamic component included in the plurality of data sets, wherein the static component is determined by computing the intersection of all spectral patterns of the portion; determining, by operation of the computer, the dynamic component of the portion of the plurality of data sets, wherein the dynamic component is independent of the static component included in the plurality of data sets, wherein the dynamic component is determined by computing the intersection of all spectral patterns of the portion; determining, by operation of the computer a static asymmetry in the static component, wherein the static asymmetry is determined by computing an intersection between a left spectral pattern of the static component and a right spectral pattern of the static component and by removing the intersection from the left and right spectral patterns of the static component; determining, by operation of the computer, a dynamic asymmetry in the dynamic component, wherein the dynamic asymmetry is determined by computing an intersection between a left spectral pattern of the dynamic component and a right spectral pattern of the dynamic component and by removing the intersection from the left and right spectral patterns of the dynamic component; and based at least in part on the static asymmetry in the static component and the dynamic asymmetry in the dynamic component, determining, by operation of the computer, an indication for whether the person is at risk for the mood disorder, wherein the mood disorder comprises at least one of the following: depression, bipolar disorder, or a disorder with at least one genetic-related component.