Methods of categorisation of schizophrenia sufferers into subtypes based on changes in brain morphology, together with associated blood biomarkers are provided. The methods allow for more accurate treatment and diagnosis of schizophrenia.

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

A processing subsystem generates perceived images from information bearing nerve impulses that are transmitted from a subject's eye(s) to a visual processing region of the subject's brain along one or more nerves in response to the subject viewing a real-world scene. The processing subsystem generates display images based on the perceived images, and controls a display device to display the display images to the subject. In certain embodiments, the processing subsystem generates the display images by manipulating or modifying the perceived images to include virtual images, and provides a type of virtual pointing on the display images that is used to invoke one or more actions.

The present invention relates to lesion detection. In order to improve lesion detection, it is proposed to combine the techniques of deep learning and the strategy of silhouette, i.e. subtraction between contrast-enhanced and non-contrast-enhanced, in order to reflect only the difference between the two images related to the lesion.

A method for providing electrical stimulation to a user as a user performs a set of tasks during a time window, the method comprising: providing an electrical stimulation treatment, characterized by a stimulation parameter and a set of portions, to a brain region of the user in association with the time window; for each task of the set of tasks: receiving a signal stream characterizing a neurological state of the user; from the signal stream, identifying a neurological signature characterizing the neurological state associated with the task; and modulating the electrical stimulation treatment provided to the brain region of the user based upon the neurological signature, wherein modulating comprises delivering a portion of the set of portions of the electrical stimulation treatment to the brain region of the user, while maintaining an aggregate amount of the stimulation parameter of the treatment provided during the time window below a maximum limit.

System and associated methods of use for rapid assessment of visual field integrity. In one embodiment, the device comprises a frame that rests near a patient’s eyes with pinpoint lights or mechanical stimuli that act as visual stimuli mounted at locations within the frame and in the patient’s peripheral visual field. A vantage point in front of the frame allows an operator to view the patient’s eyes during assessment, enabling the operator to maximize the accuracy during both in person and telemedicine assessments. The lights or mechanical stimuli are positioned such that they are visible to patients with a wide range of interpupillary distances, enabling the use of a single-size device for all patients.

A system for determining a treatment outcome for a subject for a neurological disorder includes a processor, a classifier and a display. The processor is configured to receive a set of electroencephalogram (EEG) data associated with the subject and to determine at least one functional connectivity parameter based on the EEG data. The classifier is coupled to the processor and is configured to receive the at least one functional connectivity parameter and to generate a prediction for a treatment outcome based on the at least one functional connectivity parameter. The display is coupled to the classifier and is configured to display the prediction for the treatment outcome.

A system for monitoring or treating RLS or PLMD can include or use a leg-wearable electrostimulation device for acquiring auxiliary data from a subject at a first leg location at which the device is worn, the first leg-wearable electrostimulation device including or using a first neurostimulation delivery device, an impedance sensor configured for determining an impedance via the first and second skin electrodes, and an auxiliary sensor configured for detecting the auxiliary data of the first leg location at which the device is worn.

A computer-implemented system for training a subject to improve psychophysiological function for performance of stress-inducing activity includes a sensor interface device and a non-transitory, tangible computer readable storage medium storing computer program code. The sensor interface provides measurement of a physiological parameter of the subject, indicating stress in the subject. The computer readable storage medium stores computer code that provides a set of training segments presenting the subject with one or more visual, audible, or tactile prompts wherein at least one of the training segments simultaneously presents the subject with a stress-inducing prompt while inducing the subject to perform a relaxation-inducing protocol.

A computer-implemented system for training a subject to improve psychophysiological function for performance of stress-inducing activity includes a sensor interface device and a non-transitory, tangible computer readable storage medium storing computer program code. The sensor interface provides measurement of a physiological parameter of the subject, indicating stress in the subject. The computer readable storage medium stores computer code that provides a set of training segments presenting the subject with one or more visual, audible, or tactile prompts wherein at least one of the training segments simultaneously presents the subject with a stress-inducing prompt while inducing the subject to perform a relaxation-inducing protocol.