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240 results about "Depressed - symptom" patented technology

Method of treating stress-mediated depression

InactiveUS20090048288A1BiocideNervous disorderGaboxadolClinical manifestation
The present invention relates to a method for the treatment of depression comprising administering a therapeutically effective amount of gaboxadol to a patient, wherein the level of one or more inflammatory markers in said patient is increased or abnormal. The present invention also relates to a method for the treatment of stress-mediated depression comprising administering a therapeutically effective amount of gaboxadol to a patient, wherein the level of one or more inflammatory markers is increased or abnormal in said patient. The present invention also relates to a method for the treatment of depression or the amelioration of one or more depressive symptoms comprising administering a therapeutically effective amount of gaboxadol to a patient, wherein the clinical presentation of one or more symptoms of depression are the physiological effect of a general medical condition. Furthermore the present also relates to a method for testing the therapeutic effectiveness of a compound in the treatment of depression or reducing the symptoms of depression comprising measuring the amount of one or more inflammatory markers in a sample from a patient before said compound is administered to the patient and comparing with the amount of said one or more inflammatory markers in a sample from the same patient after administration of said compound to the patient.
Owner:H LUNDBECK AS

Differentiation device, differentiation method for depression symptoms, determination method for level of depression symptoms, stratification method for depression patients, determination method for effects of treatment of depression symptoms, and brain activity training device

PendingUS20210034912A1Discriminate the level of the depressive symptomImage enhancementMedical data miningFunctional connectivityCerebral activity
Objective discrimination of a disease label of a depressive symptom with respect to an active state of a brain is achieved. One means for solving the problems of the present invention is to provide a discriminating device for assisting in determination of whether a subject has a depressive symptom. The discriminating device includes a storage device for storing information for identifying a classifier generated by classifier generation processing based on a signal obtained by using a brain activity detecting apparatus to measure, in advance and time-sequentially, a signal indicating a brain activity of a plurality of predetermined regions of each brain of a plurality of participants in a resting state, the plurality of participants including healthy individuals and patients with depression. The classifier is generated so as to discriminate a disease label of a depressive symptom based on a weighted sum of a plurality of functional connectivities selected by feature selection as being relevant to the disease label of the depressive symptom through machine learning from among functional connectivities of the plurality of predetermined regions. The discriminating device further includes a processor configured to execute discriminating processing of generating a classification result for the depressive symptom of the subject by using the classifier.
Owner:ATR ADVANCED TELECOMM RES INST INT +1

Differentiation device, differentiation method for depression symptoms, determination method for level of depression symptoms, stratification method for depression patients, determination method for effects of treatment of depression symptoms, and brain activity training device

The present invention differentiates objective disease labels for depression symptoms relative to brain activity states. As one means to address the problem to be addressed thereby, the present invention provides a differentiation device that is for helping to determine whether a subject has depression symptoms. The differentiation device comprises a storage device that is for storing informationthat specifies a classifier that has been generated by classifier generation processing from signals obtained by using a brain activity detection device to chronologically premeasure signals that indicate brain activity in a plurality of prescribed regions of the resting brains of each of a plurality of participants that include healthy and depressive patients. The classifier: is generated on thebasis of a weighted sum of a plurality of functional connectivities that, from among functional connectivities between the plurality of prescribed regions, have, by means of machine learning, been selected by feature selection as being related to disease labels for depression symptoms; and is generated to differentiate the disease labels for depression symptoms. The differentiation device also comprises a computing device. Using the classifier, the computing device executes differentiation processing that generates classification results for the depression symptoms of the subject.
Owner:ATR ADVANCED TELECOMM RES INST INT +1
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