Disclosed is a method for predicting disease based on a medical image performed by a computing device. The method includes: generating a feature vector related to predictive values of brain disease for each of 2D medical images included in a 3D medical image, using a pre-trained first model; estimating importance indicating prediction accuracy for each of the 2D medical images based on the feature vector, using a pre-trained second model; and selecting at least one model input image suitable for prediction of the brain disease from among the 2D medical images based on the importance.

Systems and methods for the evaluation of clinical treatment efficacy is disclosed. The systems and methods include protocols for selection of appropriate patients/subjects for the evaluation of a specific clinical treatment. The systems and methods are based on objective measures of brain activity. The clinical treatments include pharmacological compounds in development or existing compounds approved by the appropriate regulatory authority (e.g., U.S. Federal Drug Administration), as well as transcranial magnetic or electric stimulation, including non-invasive approaches as well as grid- or depth-based electrode arrays, as well as behavioral therapies.

A terahertz field effect non-invasive biofeedback diagnosis system comprises a trigger sensor, a terahertz wave source field unit, and a central processing & telemetry unit. The central processing and telemetry unit (CP&T) is used to generate different types of stimulus signals to patients and system operation units. The biofeedback diagnosis system is used to form two biofeedback loops: one loop is through a CP&T-patient-trigger sensor loop and the other loop is through a CP&T-operation unit-trigger sensor loop. The trigger sensor can remotely obtain the biofeedback signal of the patient, and process the feedback signal into a digital signal and send it back to the central processing and telemetry unit. In order to improve the feedback signal of patients, the terahertz wave source field unit is placed near the patient, so as to trigger the feedback signals of biological cells, tissues, organs and brain waves of patients for diagnosis.

Systems and methods for selective auto-retroperfusion along with regional mild hypothermia. In at least one embodiment of a system for providing a retroperfusion therapy to a venous vessel of the present disclosure, the system comprises a catheter for controlling blood perfusion pressure, the catheter comprising a body having a proximal open end, a distal end, a lumen extending between the proximal open end and the distal end, and a plurality of orifices disposed thereon, each of the orifices in fluid communication with the lumen, and at least one expandable balloon, each of the at least one expandable balloons coupled with the body, having an interior that is in fluid communication with the lumen, and adapted to move between an expanded configuration and a deflated configuration, and a flow unit for regulating the flow and pressure of a bodily fluid, and a regional hypothermia system operably coupled to the catheter, the regional hypothermia system operable to reduce and/or regulate a temperature of the bodily fluid flowing therethrough.

This disclosure provides methods, reagents, and diagnostic and prognostic markers useful for non-invasive identification, diagnosis, and therapeutic intervention in individuals with epilepsy. More particularly, the disclosure uses specific metabolites measured by magnetic resonance spectroscopy in brain tissue to detect epileptic brain regions.

A system and method of tractography labelling in the presence of a brain lesion. According to the disclosure, a composition of free water correction (FWC) tractography and non-FWC tractography sets into a single tractography set with a ‘degree of free water’ value assigned to each tract and/or fragment of tract geometry. A slider graphical user interface is introduced to dynamically adjust the free water threshold value that controls what tracts and/or fragments of tract geometry get shown. For example, only tracts or fragments of tract geometry with a degree of free water below the threshold are shown while the rest are hidden.

A system and method is operable to automatically determine the amplitude and latency of one or more evoked potential (EP) or event-related potential (ERP) from electroencephalography (EEG) data. The EEG data from an EEG scan is separated into one or more epochs containing the desired EP or ERP waveforms. Epochs corresponding to the same type of EP or ERP such as N100, P300, and N400 are averaged automatically. The averaged epochs are automatically filtered in the time-frequency domain using an automatically selected filtering mask associated with the type of EP or ERP. A corresponding peak is automatically identified from the filtered epoch, in which the amplitude and latency is automatically measured.

The present method and system provides a neuromodulation therapy including receiving a plurality of input data relating to a patient, the input data including brain value measurements and body value measurements. The method and system includes analyzing the input data in reference to reference data generated based on machine learning operations associated with existing patient data and reference database data. Based thereon, the method and system includes electronically determining, a brain malady and a severity value for the patient and electronically generating a treatment protocol for the patient, the treatment protocol includes transcranial stimulation parameters. Therein, the method and system includes applying a transcranial stimulation using the transcranial stimulation parameters based on the treatment protocol.

Systems and methods obtain functional connectivity data in the whole brain to detect and predict brain disorders. This whole brain data is regionalized and then manipulated to derive functional connectivity data sets that can be used to show measured functional connectivity changes. This whole brain data may also be analyzed to determine changes in functional activity in both increased and decreased neural network connectivity. By identifying and then quantifying the functional connectivity differences between healthy and diseased subjects, a classification for individual subjects can be made.

The present invention relates to a system for providing neuronal stimulation signals configured to elicit sensory percepts in the cortex of an individual, comprising means for obtaining spatial information relating to the actual or planned position of at least one neuronal stimulation means relative to at least one afferent axon targeting at least one sensory neuron in the cortex of the individual and means for determining at least one neuronal stimulation signal to be applied to at least one afferent axon via the at least one neuronal stimulation means based at least in part on the obtained spatial information. The present invention further relates to a system for communicating conceptual information to an individual, comprising means for selecting at least one neuronal stimulation signal to be applied to at least one afferent axon targeting at least one sensory neuron in the cortex of the individual, wherein the at least one neuronal stimulation signal corresponds to the conceptual information to be communicated and means for transmitting the at least one neuronal stimulation signa to at least one neuronal stimulation means of the individual.