A system includes a wearable head apparatus and an electronic console. The head apparatus is configured to receive resultant light from the head of a subject. The electronic console includes a fiber array, a detector, and a computing device. The fiber array includes a plurality of fibers configured to transport resultant light received by the head apparatus. The detector includes a plurality of super-pixels each defined by a plurality of pixels of an array of pixels. Each super-pixel is associated with a fiber. Each super-pixel is configured to generate a plurality of detection signals in response to detected resultant light from its associated fiber. The computing device receives the detection signals from each of the plurality of super-pixels. The computing device generates a high density-diffuse optical tomography (HD-DOT) image signal of the brain activity of the subject based on the detection signals from the super-pixels.

Provided herein is a technique for effectively and quantitatively evaluating the symptom improving effect of a treatment given to a subject (patient). The invention provides a technique for diagnosing, evaluating, monitoring, and predicting drug efficacy in individuals (patients) with possible mental disorders such as ADHD, autism, and depression. Specifically, patient's data are simultaneously analyzed using several variables, such as biological measurements (e.g., brain activity measurements) and cognitive performance assessments, involving, for example, a patient (dependent variable), a medication type and dose (independent variables), a diagnosis profile score (DSM) and a rating scale (manifest variables), and an efficacy index (a predictor variable of a future treatment).

Systems and methods providing enhancements to quantitative imaging systems and techniques are described herein. In one aspect, a system for tissue quantification in magnetic resonance fingerprinting (MRF) comprises a feature extraction module operable to convert pixel input high-dimensional signal evolution in to a low-dimensional feature map. The system also comprises a spatially constrained quantification module operable to capture spatial information from the low-dimensional feature map and generate an estimated tissue property map.

Z maps combined with a standardized stimulus in the form of a targeted arterial partial pressures of carbon dioxide provide suprisingly enhanced images for the assessment of pathological CVR. For example, the z-map assessment of patients with known steno-occlusive diseases of the cervico-cerebral vasculature showed an enhanced resolution of the presence, localization, and severity of the pathological CVR. Z-map have been found to be useful to reduce the confounding effects of test-to-test, subject-to-subject, and platform-to-platform variability for comparison of CVR images showing the importance of combining this analysis with the standardized stimulus.

Electrophysiologic biomarkers for prognostication of neurological outcome are described herein. An inverse correlation was found between timing of a cortical spreading depolarization (SD) wave and neurological outcome as tested at 24 hours post-CPR. Additionally, a minor image of this SD was identified as a “repolarization (RP) wave.” Quantifying features of SD and RP during cardiac arrest and cardiopulmonary resuscitation (CPR) provide important metrics for diagnosis and prognosis of neurological injury from hypoxia-ischemia and can serve as an early prognostication tool for predicting outcome at subsequent days after successful CPR. This discovery may also allow for novel therapeutic interventions to improve neurological recovery after hypoxia-ischemia insults.

A non-invasive product customization system and a method of customizing a product formulation is provided. Brain activity of a user is detected in response to an input of a product formulation into a brain of the user via a sensory nervous system of the user. A mental state of the user is detected based on the detected brain activity. The product formulation is modified based on the determined mental state of the user. The modified product formulation may be presented to the user in a manner that modulates the mental state of the user.

The present disclosure is associated with monitoring health of a patient. An example electromagnetic-evoked acoustic device includes an electromagnetic component to emit energy toward tissue of a patient to cause the energy to be absorbed by the tissue; an ultrasound transmission component to transmit acoustic energy toward the tissue to cause a biological response from the tissue; and an ultrasound sensing component to sense the biological response from the tissue to permit a status of the tissue to be determined, wherein the biological response is sensed based on the energy absorbed by the tissue during the biological response.

Systems and methods employing spin editing techniques to improve magnetic resonance spectroscopy (MRS) and magnetic resonance spectroscopic imaging (MRSI) are discussed. Using these spin editing techniques, magnetic resonance signals of one or more non-target chemicals (chemicals whose signals are to be filtered out or suppressed) chemicals can be suppressed, so that the signal(s) of a set of target chemicals can be obtained without signals from the one or more non-target chemicals. Information about and differences between the molecular topologies of the first set of chemicals and the one or more unwanted chemicals can be used to design a sequence that suppresses the one or more unwanted chemicals while allowing acquisition of signal(s) from the first set of chemicals. These techniques can be employed to recover sharp peaks despite magnetic field inhomogeneities and susceptibility effects.

A stroke detection apparatus comprises a data processing device comprising a processor and at least one wearable sensor configured to generate movement data of at least a portion of the user's body. The data processing device is configured to process first movement data for a first movement and second movement data for a second movement received from the at least one wearable sensor. Wherein the data processing device is configured to determine asymmetry of user's movement based on the first and second movement data and generate a stroke detection signal in dependence on the determined asymmetry.

A system and method is disclosed for measuring muscle reflexes (e.g., a bulbocavernosus reflex) as a tool for identifying/diagnosing dysfunctions (e.g., spinal cord abnormalities, bladder voiding dysfunction, and sexual organ dysfunction) non-invasively by using mechanical stimulation. The system and method includes a probe having a predetermined patient contacting portion, wherein when the contacting portion is moved into contact with a particular area of the patient (e.g., the patient's genitals), the contact induces a muscle reflex. The probe detects the pressure resulting from the contacting portion being abruptly and forcibly brought into contact with the particular area. Such detection is used to electronically initiate capture of electrical responses from a plurality of electrodes placed on the patient's skin in proximity to the particular area. Such electrical responses are processed to determine characteristics of the patient's reflexes of one or more muscles adjacent to the electrodes.