Provided herein are systems and methods for simultaneous imaging and stimulation using a microscope system. The microscope system can have a relatively small size compared to an average microscope system. The microscope can comprise in part an imaging light source and a stimulation light source. Light from the imaging light source and the stimulation light source can be spectrally separated to reduce cross talk between the stimulation light and the imaging light.

An electroactive photonic polymer sensing device includes an imaging component that uses photonic energy to generate a photocurrent that represents a molecular parameter, wherein the imaging component includes a photosensitive material and at least one of a laser diode and/or photodiode; and a memory component that stores a representation of the molecular parameter, wherein the memory component includes at least one of a protein, vitamin, lipid, carbon allotrope, carbon tetra fluoride. A method of sensing polymers using an electroactive photonic sensing device includes converting, using an imaging component, photonic energy into electrochemical energy to generate a photocurrent that represents a molecular parameter, wherein the imaging device includes a photosensitive material and at least one of a laser diode and/or photodiode; and storing, using a memory component, a representation of the molecular parameter, wherein the memory component includes at least one of a vitamin, lipid, carbon allotrope, carbon tetra fluoride.

Systems and methods are described herein for modeling neural architecture. Regions of interest of a brain of a subject can be identified based on image data characterizing the brain of the subject. the identified regions of interest can be mapped to a connectivity matrix. The connectivity matrix can be a weighted and undirected network. A multivariate transformation can be applied to the connectivity matrix to transform the connectivity matrix into a partial correlation matrix. The multivariate transformation can maintain a positive definite constraint for the connectivity matrix. The partial correlation matrix can be transformed into a neural model indicative of the connectivity matrix.

An intravascular device for placement within an animal vessel, the intravascular device being adapted to at least one of sense and stimulate activity of neural tissue located outside the vessel proximate the intravascular device.

A system for monitoring neural activity of a living subject is provided. The system may comprise a correspondence module configured to be in communication with (1) a neural module and (2) one or more additional modules comprising a sensing module, another neural module, and/or a data storage module. The neural module(s) are configured to collect neural data indicative of perceptions experienced by the living subject. The sensing module may be configured to collect (1) sensor data indicative of real-world information about an environment around the living subject, and/or (2) sensor data indicative of a physical state or physiological state of the living subject. The data storage module may be configured to store prior neural data and/or prior sensor data. The correspondence module may be configured to measure a correspondence (a) between the neural data collected by the neural module(s) and the sensor data collected by the sensing module, (b) between the neural data collected by two or more neural modules, and/or (c) between the neural data collected by the neural module(s) and the prior data stored in data storage module. The measured correspondence can be used to determine a presence, absence, or extent of a potential cognitive or physiological disturbance of the living subject.

This document describes devices for in vivo drug testing in the brain. This document also describes implantable devices for long-term drug delivery to the brain parenchyma, and for access to biomarkers from the parenchyma.

The perceptive faculties of a subject are determined by way of a brain-computer interface 20. At least two mutually distinguishable types of stimuli S.sub.A, S.sub.B which are applicable to a subject are prescribed. A multiplicity of temporally successive stimuli are applied to the subject and combined to form blocks. Calibration data are created from the EEG data ascertained thus by virtue of a number of ascertained EEG data and stimuli associated with these EEG data are combined to form calibration blocks. A classification function is ascertained by a classification analysis on the basis of ascertained calibration blocks. The classification function specifies a position of the stimulus of the first type in the respective calibration block. Finally, the EEG data of a number of test blocks selected from the blocks are subjected to the classification function.

In some examples, a processor determines a patient state based on activity of a bioelectrical brain signal of a patient in one or more frequency sub-bands of a frequency band of interest. For example, a processor may determine a patient state based on the power level of a bioelectrical brain signal of the patient in one or more frequency sub-bands of a frequency band, or based on a spectral pattern of a bioelectrical brain signal in a frequency band, such as a shift in a power distribution between sub-bands, a change in the peak frequency within one or more sub-bands, a pattern of the power distribution over one or more frequency sub-bands, or a width or a variability of one or more sub-bands exhibiting a relatively high or low level of activity.

Provided are systems, methods, and devices for providing mediation of a traumatic brain injury. Systems may include an interface, processing devices, and a controller. The interface is configured to obtain measurements from a brain of a user with a traumatic brain injury. A first processing device is configured to generate multiple brain state parameters characterizing one or more features of a brain state of the user. A second processing device is configured to generate models of the brain of the user based on the plurality of brain state parameters and the plurality of measurements, and determine, using the models and training data comprising one or more mediation data points, a mediation procedure for reducing one or more symptoms of the traumatic brain injury. The mediation procedure is provided to one or more entities, and one or more control signals are generated by the controller based on the mediation procedure.

The present specification describes a system for diagnosing or screening one or more pathologies in a patient. The system includes a headset with at least one microphone or accelerometer to passively receive vibrations generated by the cerebral vasculature of the patient's brain, computing devices coupled with the headset for processing the received vibrations to obtain a unique signal, and a signal analyzer to analyze the signal in order to determine if the data includes patterns uniquely indicative of at least one of tension headaches, migraines, depression, dementia, Alzheimer's disease, epilepsy, Parkinson's disease, autism, cerebral vasospasm and meningitis.