A method for selecting an AI solution for an automated robotic process including receiving at least one functional media including information indicative of brain activity by a human engaged in a task of interest, analyzing the functional media, identifying an activity level in at least one brain region, identifying a brain region parameter and an activity parameter; identifying an action parameter based in part on the brain region parameter or the activity parameter; and selecting a component of the AI solution in part on the brain region parameter, the activity parameter, or the action parameter.

This invention relates generally to methods for localization and visualization of implanted electrodes and penetrating probes in the brain in 3D space with consideration of functional brain anatomy. Particularly, this invention relates to precise and sophisticated methods of localizing and visualizing implanted electrodes to the cortical surface and/or topological volumes of a patient's brain using 3D modeling, and more particularly to methods of accurately mapping implanted electrodes to the cortical topology and/or associated topological volumes of a patient's brain, such as, for example, by utilizing recursive grid partitioning on a manipulable virtual replicate of a patient's brain. This invention further relates to methods of surgical intervention utilizing accurate cortical surface modeling and/or topological volume modeling of a patient's brain for targeted placement of electrodes and/or utilization thereof for surgical intervention in the placement of catheters or other probes into it.

A non-invasive optical measurement system comprises a two-dimensional array of photonic integrated circuits (PICs) mechanically coupled to each other. Each PIC is configured for emitting sample light into an anatomical structure, such that the sample light is scattered by the anatomical structure, resulting in physiological-encoded signal light that exits the anatomical structure. Each PIC is further configured for detecting the signal light. The non-invasive optical measurement system further comprises processing circuitry configured for analyzing the detected signal light from each of the PICs, and based on this analysis, determining an occurrence and a three-dimensional spatial location of the physiological event in the anatomical structure.

Systems and methods for treating a cognitive disease or disorder are provided. A treatment method comprises: selecting a target volume of brain tissue to be stimulated; identifying at least one avoidance volume of brain tissue; selecting a first stimulation lead comprising at least one stimulation element; identifying at least one proposed trajectory for placement of the first stimulation lead based on the target volume and the at least one avoidance volume; placing the first stimulation lead along a placement trajectory selected from the at least one proposed trajectory; attaching the first stimulation lead to a stimulator; and stimulating the target volume with the first stimulation lead at least one stimulation element to treat at least one of a cognitive disease or a cognitive disorder. Systems include a stimulator with one or more stimulation leads and an image analyzer for identifying a proposed trajectory for placing the stimulation leads.

This specification describes systems and methods for using Zero Echo Time (ZTE) magnetic resonance imaging (MRI) sequences for applications to functional MRI (fMRI). In some examples, a system for functional magnetic resonance imaging includes a magnetic resonance imaging (MRI) scanner and a control console implemented on at least one processor. The control console is configured for executing, using the MRI scanner, a zero echo time (ZTE) pulse sequence; acquiring, using the MRI scanner, magnetic resonance data in response to the ZTE pulse sequence; and constructing at least one MRI image using the magnetic resonance data and measuring tissue oxygenation (PtO2)-related T1 changes as a proxy of neural activity changes of a subject using the at least one MRI image.

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. For example, it is possible to, for example, receive imaging information of a portion(s) of a head of the patient(s), and determine 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 diagnostic method for monitoring changes in a fluid medium in a patient's head. The method includes positioning a transmitter at a first location on or near the patient's head, the transmitter generates and transmits a time-varying magnetic field into a fluid medium in the patient's head responsive to a first signal; positioning a receiver at a second location on or near the patient's head offset from the transmitter, the receiver generates a second signal responsive to a received magnetic field at the receiver; transmitting a time-varying magnetic field into the fluid medium in the patient's head in response to the first signal; receiving the transmitted magnetic field; generating the second signal responsive to the received magnetic field; and determining, a phase shift between the transmitted magnetic field and the received magnetic field for a plurality of frequencies of the transmitted time-varying magnetic field.

An automated system and method is provided for biotype extraction and biomarker discovery from task-based fMRI imaging data. The system and method may include automatically mapping a localizome, such as a task-condition/contrast/population-specific brain functional localizome, based on fMRI data and automatically selecting and sorting brain regions or brain nodes to produce a subset of functional brain regions or brain nodes. A report may then be generated indicating that the subject has a particular brain circuit pattern of activity and connectivity associated with one or more symptoms of the given mental disorder, treatments, or associated with normal brain functions, based upon the extracted biosignatures by searching for the optimal multivariate classifier with least dimensionality in the brain functional localizome. These biosignatures and biomarkers that reveal hidden, implicit, and latent brain circuit patterns provoked by fMRI tasks, can also provide for the development of non-invasive diagnostics and targeted therapeutics in neuropsychiatric diseases.

An input device is to input a shape of a measurement target is response to a signal transmitted from a stylus pen, to determine positional relation between a position of a marker and a shape of the measurement target. The marker is attached to the measurement target and detectable by a cerebral-function measuring device. The input device includes a controller, and a display unit. The controller is configured to generate a screen in which a three dimensional shape of the measurement target and a guide of a position to be acquired next with the stylus pen are superimposed. The display unit is configured to display the screen generated by the controller, on a display portion.

Coherent light (e.g., laser light) is emitted into a cranium through an optical fiber. A tissue sample (e.g., red blood cells, blood vessels, brain tissue) within the cranium diffuses the coherent light. Different tissue sample motion quantities generate different coherent light interference patterns. An image of a coherent light interference pattern is captured with an image sensor coupled to an optical element. The speckle contrast of the image quantifies coherent light interference pattern. A waveform of sequentially captured speckle contrast values over time has characteristics that reflect intracranial blood flow health. If waveform characteristics indicate poor or questionable intracranial blood flow heath, a notification message is displayed, played, or otherwise transmitted.