A computing device for use in a system for mapping brain activity of a subject includes a processor. The processor is programmed to select a plurality of measurements of brain activity that is representative of at least one parameter of a brain of the subject during a resting state. Moreover, the processor is programmed to compare at least one data point from each of the measurements with a corresponding data point from a previously acquired data set from at least one other subject. The processor is also programmed to produce at least one map for each of the measurements based on the comparison of the resting state data point and the corresponding previously acquired data point. The processor may also be programmed to categorize the brain activity in a plurality of networks in the brain based on the map.

An electrophysiological monitoring system includes an electrophysiology amplifier chip configured to couple to a plurality of electrophysiological electrodes and to measure electrophysiological signals. The system also includes a computing device configured to receive and to process the electrophysiological signals. The system further includes an interface device coupled to the electrophysiological amplifier chip and the computing device, the interface device configured to convert communication signals between the computing device and the electrophysiology amplifier chip.

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.

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.

Devices, systems, and techniques are disclosed for managing electrical stimulation therapy and/or sensing of physiological signals such as brain signals. For example, a system may assist a clinician in identifying one or more electrode combinations for sensing a brain signal. In another example, a user interface may display brain signal information and values of a stimulation parameter at least partially defining electrical stimulation delivered to a patient when the brain signal information was sensed.

Devices, systems, and techniques are disclosed for managing electrical stimulation therapy and/or sensing of physiological signals such as brain signals. For example, a system may assist a clinician in identifying one or more electrode combinations for sensing a brain signal. In another example, a user interface may display brain signal information and values of a stimulation parameter at least partially defining electrical stimulation delivered to a patient when the brain signal information was sensed.

In accordance with some embodiments of the disclosed subject matter, mechanisms (which can, for example, include systems, methods, and media) for detecting an effortful mental state providing real-time deep brain stimulation to enhance performance of effortful mental tasks are provided. In some embodiments, system for detecting and facilitating effortful mental states is provided, the system comprising: monitoring sensors to capture neural activity from a subject's brain; an implanted stimulator to provide electrical stimulation to the subject's brain; a hardware processor programmed to: correlate activity in a first and second region of the subject brain during task performance; correlate activity in the first and second regions during task non performance; train a support vector machine (SVM) using the correlations as first and second class examples; and provide stimulation to augment brain function when the SVM indicates, based on activity in the first and second regions, the subject is in the mental state.

In accordance with some embodiments of the disclosed subject matter, mechanisms (which can, for example, include systems, methods, and media) for detecting an effortful mental state providing real-time deep brain stimulation to enhance performance of effortful mental tasks are provided. In some embodiments, system for detecting and facilitating effortful mental states is provided, the system comprising: monitoring sensors to capture neural activity from a subject's brain; an implanted stimulator to provide electrical stimulation to the subject's brain; a hardware processor programmed to: correlate activity in a first and second region of the subject brain during task performance; correlate activity in the first and second regions during task non performance; train a support vector machine (SVM) using the correlations as first and second class examples; and provide stimulation to augment brain function when the SVM indicates, based on activity in the first and second regions, the subject is in the mental state.

A processing device is configured to interface with a region of the brain of a subject that is responsible for forming concepts without sensory input. The processing device receives brain signals representative of at least one concept formed by the region of the brain without sensory input, and processes the received brain signals so as to convert the at least one concept to data that is representative of a tangible form of the at least one concept. In certain embodiments, the processing device processes data that is representative of at least one concept to be formed by the region so as to convert the data into one or more brain signals, and selectively providing the one or more brain signals to the region of the brain such that the at least one concept represented by the data is formed by the region of the brain without sensory input.

A method for functional brain mapping using high gamma modulation obtained from stereoelectroencephalography (SEEG).