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: [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: Provided is a method of analyzing brain activities for realizing a biomarker for neurological/mental disorder, based on brain function imaging. From measured data of resting-state functional connectivity MRI of a healthy group and a patient group, correlation matrix (80) of degree of brain activities among prescribed brain regions is derived for each subject. Feature extraction is executed by regularized canonical correlation analysis (82) on the correlation matrix (80) and attributes of the subject including a disease/healthy label of the subject. Based on the result of regularized canonical correlation analysis, by discriminant analysis (86) through sparse logistic regression, a discriminator (88) is generated.

Abstract: Provided is a method of analyzing brain activities for realizing a biomarker for neurological/mental disorder, based on brain function imaging. From measured data of resting-state functional connectivity MRI of a healthy group and a patient group, correlation matrix (80) of degree of brain activities among prescribed brain regions is derived for each subject. Feature extraction is executed by regularized canonical correlation analysis (82) on the correlation matrix (80) and attributes of the subject including a disease/healthy label of the subject. Based on the result of regularized canonical correlation analysis, by discriminant analysis (86) through sparse logistic regression, a discriminator (88) is generated.

Abstract: Provided is a brain activity training apparatus for training to cause a change in correlation of connectivity among brain regions, utilizing measured correlations of connections among brains regions as feedback information. From measured data of resting-state functional connectivity MRI of a healthy group and a patient group (S102), correlation matrix of degree of brain activities among prescribed brain regions is derived for each subject. Feature extraction is executed (S104) by regularized canonical correlation analysis on the correlation matrix and attributes of the subject including a disease/healthy label of the subject. Based on the result of regularized canonical correlation analysis, by discriminant analysis through sparse logistic regression, a discriminator is generated (S108). The brain activity training apparatus feeds back a reward value to the subject based on the result of discriminator on the data of functional connectivity MRI of the subject.

Abstract: Provided is a method of analyzing brain activities for realizing a biomarker for neurological/mental disorder, based on brain function imaging. From measured data of resting-state functional connectivity MRI of a healthy group and a patient group, correlation matrix (80) of degree of brain activities among prescribed brain regions is derived for each subject. Feature extraction is executed by regularized canonical correlation analysis (82) on the correlation matrix (80) and attributes of the subject including a disease/healthy label of the subject. Based on the result of regularized canonical correlation analysis, by discriminant analysis (86) through sparse logistic regression, a discriminator (88) is generated.

Abstract: An object of the present invention is to provide a switch mechanism to be adopted in an air-conditioning system that may be operated manually, which allows a plurality of functions to be integrated therein and assures superior operability for the driver. Manual switch mechanisms 1 and 3 are dial type mechanisms each comprising at least a tubular dial component 4 with open ends on the two sides thereof, a first gear 5 that is fitted on the outside of the dial component 4 so as to rotate together with the dial component and includes gear teeth 5a formed at the outer circumferential side surface thereof and a second gear 6 that includes gear teeth 6a formed at a circular arc circumferential surface thereof to which the rotation of the dial component 4 is transmitted from the first gear 5 via a relay component 7 and is connected through a wire 20 to drive an air-conditioning door.

Abstract: An object of the present invention is to provide a switch mechanism to be adopted in an air-conditioning system that may be operated manually, which allows a plurality of functions to be integrated therein and assures superior operability for the driver. Manual switch mechanisms 1 and 3 are dial type mechanisms each comprising at least a tubular dial component 4 with open ends on the two sides thereof, a first gear 5 that is fitted on the outside of the dial component 4 so as to rotate together with the dial component and includes gear teeth 5a formed at the outer circumferential side surface thereof and a second gear 6 that includes gear teeth 6a formed at a circular arc circumferential surface thereof to which the rotation of the dial component 4 is transmitted from the first gear 5 via a relay component 7 and is connected through a wire 20 to drive an air-conditioning door.

Abstract: A reflecting surface is formed at a rear side of a thick portion so that when viewed from the center front relative to the thick portion, light is reflected by the reflecting surface to let the color of the panel be seen as the color of the thick portion. With this, the confusing visual aspect of the window member of the indicator unit that occurs when the color of the thick portion of the window member looks different from the color of the other portion of the window member can be eliminated without having to color the rear surface side of the thick portion.