Provided is a method for predicting a PTSD diagnosis in a patient comprising receiving audio input data from a patient; determining one or more audio input indicators based on the audio input data, wherein each audio input indicator of the one or more audio input indicators represents a likelihood of a positive PTSD diagnosis based on the audio input data; receiving clinical assessment data from the patient; determining one or more clinical assessment indicators based on the clinical assessment data, wherein each clinical assessment indicator of the one or more clinical assessment indicators represents a likelihood of a positive PTSD diagnosis based on the clinical assessment data; combining the one or more audio input indicators and the one or more clinical assessment indicators using a prediction model chosen by a clinician; and determining a PTSD diagnosis in the patient based on the audio input data and the clinical assessment data.

Methods for the diagnosis, prognosis, patient stratification and prediction of pharmacological response in patients afflicted by psychiatric disorders based on electroretinography (ERG) parameters are described.

The invention provides methods of identifying schizophrenia patients at risk for relapse. The invention also provides methods of early detection of schizophrenic relapse. The disclosed methods use monitoring of a subset of symptoms and/or one or more biomarkers. The symptom severity can be assessed using the Positive and Negative Syndrome Scale (PANSS) parameters. The methods of the invention can be used to provide early intervention to decrease or prevent relapse in schizophrenia patients.

The present disclosure provides an electronic device for performing psychological counseling through pictures. The present disclosure also provides extracting detailed attribute information about a drawing process of a counseling recipient, and determining a psychological state of the counseling recipient in consideration of the detailed attribute information obtained during the drawing process in addition to a final image obtained through drawing. The present disclosure also provides transferring a final image, which is input data representing a psychological state of a counseling recipient, and detailed attribute information obtained during a drawing process, to a psychological analysis expert group and obtaining detailed analysis comments.

An exemplary system, method, and computer-accessible medium for determining a position or a characteristic of a target(s) for a transcranial magnetic stimulation (TMS) treatment of a patient(s) can be provided, which can include, for example, receiving imaging information of a portion(s) of a head of the patient(s), and determining the position or the characteristic of the target(s) for the TMS treatment of the patient(s) based on the imaging information. The imaging information can be magnetic resonance imaging information. The imaging information can include information regarding a brain and a skull of the patient(s). The position or the characteristic of the target(s) can be determined by identifying (i) the skull, and (ii) a parcel in a section(s) of a brain of the patient(s). The parcel can a dorsolateral prefrontal cortex (DLPFC) parcel. The DLPFC parcel can be identified using a parcellation procedure, which can be a human connectome pipeline procedure.

The invention is directed to a system and method for using psychometric testing & analysis based on a framework of individual's personality/behavioral traits which helps assess the digital quotient of an individual or an organization.

The invention provides methods of identifying schizophrenia patients at risk for relapse. The invention also provides methods of early detection of schizophrenic relapse. The disclosed methods use monitoring of a subset of symptoms and/or one or more biomarkers. The symptom severity can be assessed using the Positive and Negative Syndrome Scale (PANSS) parameters. The methods of the invention can be used to provide early intervention to decrease or prevent relapse in schizophrenia patients.

The present systems and methods provide a mechanism to assess viewer behavior, features of stimuli, and the interaction between viewer behavior and stimuli. The systems and methods described herein for quantifying blink response and blink inhibition provide moment-by-moments measurements of viewer engagement by measuring what is or is not engaging enough to warrant viewers' inhibition of blinking. The present disclosure describes measures of visual scanning, eye movements, blink data, and blink timing data to derive a measure of how engaged a person is with what he or she is looking at. Blink-related data as a measure of viewer engagement provides a mechanism for determining the most engaging spatial and temporal aspects of a stimulus.

A psychological evaluation device that estimates interest of a subject in a content used integrally with a terminal held by the subject. Acceleration data obtained by an acceleration sensor built in the terminal is acquired, and a frequency analysis is performed on the acquired acceleration data to obtain acceleration in the gravity direction of the terminal. By obtaining the acceleration in the gravity direction of the terminal, it is possible to, for example, estimate the subject's interest in the content based on the integral value of each frequency component of the acceleration in the gravity direction obtained by performing the frequency analysis.

An emotion inference device and an emotion inference system that are capable of inferring a user's emotion with higher precision. A motorcycle includes an individual personality that is configured on the basis of information on a user from a plurality of products associated with the user, connected to a communication network, and including the motorcycle, an automobile, a rice cooker, a vacuum cleaner, a television receiver, and a refrigerator, the individual personality forms a base personality, and the motorcycle includes an emotion detecting section that detects an emotion.