Abstract: A motor teaching system is provided with a force presentation robot for teaching motion in accordance with a predetermined motor pattern by guiding movement of a movable part of the body of a test subject, a brainwave sensor, and a computer that classifies a cerebral activity pattern into one of a plurality of classes that include motor imagery, based on a brainwave signal. The computer guides evoking contents of the test subject prior to teaching of the motor pattern, such that a classification result obtained in the period of teaching the motor pattern will be the motor imagery class.

Abstract: [Object] An object is to provide a brain activity analyzing method for realizing a biomarker using brain function imaging for neurological/mental disorders. [Solution] From data of resting-state functional connectivity MRI obtained by measuring groups of healthy subjects and patients, a correlation matrix of degrees of activities among prescribed brain regions is derived. By a sparse canonical correlation analysis (SCCA) of attributes of subjects and the correlation matrix, elements of correlation matrix that connect to canonical variables corresponding only to the diagnosis label are extracted. By sparse logistic regression (SLR) during Leave-One-Out Cross Validation of a first sum-set of elements of correlation matrix obtained as a result of feature extraction by a sparse regularized canonical correlation analysis, a second sum-set of elements of the correlation matrix is extracted. By discrimination analysis using sparse logistic regression on the second sum-set, a discriminator is generated.

Abstract: 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.

Abstract: [Object] An object is to provide a brain activity analyzing method for realizing a biomarker using brain function imaging for neurological/mental disorders. [Solution] From data of resting-state functional connectivity MRI obtained by measuring groups of healthy subjects and patients, a correlation matrix of degrees of activities among prescribed brain regions is derived. By a sparse canonical correlation analysis (SCCA) of attributes of subjects and the correlation matrix, elements of correlation matrix that connect to canonical variables corresponding only to the diagnosis label are extracted. By sparse logistic regression (SLR) during Leave-One-Out Cross Validation of a first sum-set of elements of correlation matrix obtained as a result of feature extraction by a sparse regularized canonical correlation analysis, a second sum-set of elements of the correlation matrix is extracted. By discrimination analysis using sparse logistic regression on the second sum-set, a discriminator is generated.

Abstract: A motor teaching system is provided with a force presentation robot for teaching motion in accordance with a predetermined motor pattern by guiding movement of a movable part of the body of a test subject, a brainwave sensor, and a computer that classifies a cerebral activity pattern into one of a plurality of classes that include motor imagery, based on a brainwave signal. The computer guides evoking contents of the test subject prior to teaching of the motor pattern, such that a classification result obtained in the period of teaching the motor pattern will be the motor imagery class.

Abstract: Use of flunarizine, a calcium channel blocking agent known for use as cerebral and peripheral vasodilator, in the treatment of glaucoma by topical administration. Differently from other calcium channel blockers already tested for use as antiglaucoma agents, flunarizine is highly active in lowering the intraocular pressure when administered by the topical ophthalmic route. The invention also comprises anti-glaucoma preparations containing flunarizine, or combinations of flunarizine with beta-blockers such as timolol.