Abstract: The present disclosure relates to systems and methods for accessing a data structure including a subject identifier identifying a subject and a subject connectivity value derived from at least one of a scan or test provided to the subject, the subject connectivity value representing a magnitude of a connection associated with at least one sub-processing region of a nervous system of the subject; comparing the subject connectivity value to a connectivity threshold value to determine a classification of the subject; determining that the subject connectivity value exceeds the connectivity threshold value, storing in the data structure, an association between the subject identifier and a first classification value corresponding to a first classification or determining that the subject connectivity value is less than the connectivity threshold value, and storing in the data structure, an association between the subject identifier and a second classification value corresponding to a second classification.

Abstract: Systems and methods for treating a subject with a psychiatric disorder are provided in which a therapy session is conducted. In the therapy session, each respective expression image in a plurality of expression images is sequentially displayed. Each expression image is independently associated with an expression. The successive display of images is construed as a tiled series of expression image subsets, each consisting of N expression images. Upon completion of the display of each respective subset, the user is challenged as to whether the first and the last images in the respective subset exhibit the same emotion. A score is determined for the respective subset based on whether the subject learned to respond correctly. The number of images in each subset is adjusted to a new number based on these scores. A treatment regimen is prescribed to the subject for the psychiatric disorder based at least in part on the scores.

Abstract: The present disclosure relates to systems and methods for accessing a data structure including a subject identifier identifying a subject and a subject connectivity value derived from at least one of a scan or test provided to the subject, the subject connectivity value representing a magnitude of a connection associated with at least one sub-processing region of a nervous system of the subject; comparing the subject connectivity value to a connectivity threshold value to determine a classification of the subject; determining that the subject connectivity value exceeds the connectivity threshold value, storing in the data structure, an association between the subject identifier and a first classification value corresponding to a first classification or determining that the subject connectivity value is less than the connectivity threshold value, and storing in the data structure, an association between the subject identifier and a second classification value corresponding to a second classification.

Abstract: Systems and methods for treating a subject with a psychiatric disorder are provided in which a therapy session is conducted. In the therapy session, each respective expression image in a plurality of expression images is sequentially displayed. Each expression image is independently associated with an expression. The successive display of images is construed as a tiled series of expression image subsets, each consisting of N expression images. Upon completion of the display of each respective subset, the user is challenged as to whether the first and the last images in the respective subset exhibit the same emotion. A score is determined for the respective subset based on whether the subject learned to respond correctly. The number of images in each subset is adjusted to a new number based on these scores. A treatment regimen is prescribed to the subject for the psychiatric disorder based at least in part on the scores.

Abstract: The present disclosure relates to systems and methods for accessing a data structure including a subject identifier identifying a subject and a subject connectivity value derived from at least one of a scan or test provided to the subject, the subject connectivity value representing a magnitude of a connection associated with at least one sub-processing region of a nervous system of the subject; comparing the subject connectivity value to a connectivity threshold value to determine a classification of the subject; determining that the subject connectivity value exceeds the connectivity threshold value, storing in the data structure, an association between the subject identifier and a first classification value corresponding to a first classification or determining that the subject connectivity value is less than the connectivity threshold value, and storing in the data structure, an association between the subject identifier and a second classification value corresponding to a second classification.

Abstract: Methods and compositions for the treatment of treatment-resistant depression are described. More specifically, the invention demonstrates that intranasal administration of ketamine is effective to ameliorate the symptoms of depression in a patient who has not responded to an adequate trial of one antidepressant in the current episode and has recurrent or chronic depressive symptoms (>2 years).