A method for obtaining a near-infrared spectroscopy (fNIRS) cerebral signal in a subject includes: placing a near-infrared emitter and respective proximal and distal near-infrared detectors on a skin of a head of a subject; during a baseline recording stage with the subject in resting-state, record near-infrared signals, the recorded signals including a baseline deep-signal and a baseline shallow-signal; calculate a scaling factor between amplitudes of the baseline deep-signal and the baseline shallow-signal at a given task-frequency; with the subject undergoing a cyclic cerebral stimulation at the task-frequency during a stimulation recording stage, record near-infrared signals, the recorded signals comprising a shallow-signal and a deep-signal; and applying the scaling factor to the shallow-signal, calculating the cerebral signal at the task-frequency as a difference between the deep-signal and the scaled shallow-signal, at the task-frequency.

A first optical measurement of tissue with a first optical device is initiated. The first optical measurement includes a first shallow optical reading and a first deeper optical reading. A second optical measurement of the tissue with a second optical device spaced is initiated. The second optical device is spaced apart from the first optical device. The second optical measurement includes a second shallow optical reading and a second deeper optical reading. A first difference value between the first shallow optical reading and the first deeper optical reading is determined. A second difference value between the second shallow optical reading and the second deeper optical reading is determined. A large vessel occlusion (LVO) alert is generated when a ratio of the first difference value to the second difference value is larger than a threshold value.

The present disclosure is directed to methods of predicting overall survival, monitoring, and selecting treatments for a glioblastoma (GBM) patient. The method of the present disclosure includes obtaining at least one morphometric image from the GBM patient, identifying at least one radiomic biomarker based on the at least one morphometric image, and determining an overall survival value based on the at least one radiomic biomarker.

Methods are provided for measuring real-time concussive and vascular brain injuries, within seconds of the incident, by using a cascading decrease of optic nerve oxygen perfusion as captured by the retina oximetry, which is representative of inherent processes taking place within the brain subsequent to various degrees of cranial insult. The methods presented herein provide for establishing baseline databases and protocols that are intended to set standards for testing and protecting athletes on the field of play and creating emergency guidelines for early treatment of cerebrovascular accidents. Further, methods of investigation presented herein are capable of creating a database of demographically representative values, that are intended to provide statistical norms significant to demographics, such as age, sex, race, location, and athletic endeavors both at rest and within an active athletic state.

A test apparatus or system for testing impact induced brain trauma a method of making and a method using the same are provided. The system includes a head model, which includes a skull component, a brain component, and a fluid component. The skull component has a wall defining an interior chamber. The brain component includes a gel material and is disposed within the interior chamber. The fluid component is disposed inside the interior chamber. The system may also include a fluid tank fluidly coupled with the skull component and configured to provide the fluid component into the interior chamber. The head model may further include a layer of porous media disposed between the brain component and the interior wall surface of the skull component. The system may include at least one impact element for providing an impact on the head model. The impact is translational or rotational or both.

In some embodiments, techniques for using machine learning to enable visible light pupilometry are provided. In some embodiments, a smartphone may be used to create a visible light video recording of a pupillary light reflex (PLR). A machine learning model may be used to detect a size of a pupil in the video recording over time, and the size over time may be presented to a clinician. In some embodiments, a system that includes a smartphone and a box that holds the smartphone in a predetermined relationship to a subject's face is provided. In some embodiments, a sequential convolutional neural network architecture is used. In some embodiments, a fully convolutional neural network architecture is used.

A physical area network for detecting head injuries described herein enables significantly improved cranial health monitoring and treatment by utilizing internal (in-body) mechanisms and information and external mechanisms and information.

An illustrative system may include a TDC configured to monitor for an occurrence of a photodetector output pulse during a measurement time window that is within and shorter in duration than a light pulse time period, the photodetector output pulse generated by a photodetector when the photodetector detects a photon from a light pulse having a light pulse time period; a PLL circuit for the TDC and having a PLL feedback period defined by a reference clock, the PLL circuit configured to: output a plurality of fine phase signals and output one or more signals representative of a plurality of feedback divider states during the PLL feedback period; and a precision timing circuit configured to adjust, based on one or more of the fine phase signals and/or the feedback divider states, a temporal position of the measurement time window within the light pulse time period.

A method of performing personalized neuromodulation on a subject is provided. The method includes acquiring functional magnetic resonance imaging (fMRI) data of a brain of the subject. The method also includes calculating functional connectivity of the brain between a voxel in a subcortical region of the brain and a voxel in a cortical region of the brain, based on the fMRI data. The method also includes identifying a target location in the brain to be targeted by neuromodulation based on the calculated functional connectivity.

A lead body is operable to be implanted proximate a target nerve tissue of a patient. A sensing electrode is configured to sense biopotentials over a first partial circumference of the lead body. A stimulation electrode is configured to deliver stimulation energy over a second partial circumference of the lead body. A signal generator is electrically coupled to the stimulation electrode and a sensing circuit is coupled to the sensing electrode. A processor is operable to apply a stimulation signal to the stimulation electrode via the signal generator and, via the sensing circuit, sense an evoked response to the stimulation signal that propagates along a neural pathway.