Abstract: A machine-implemented method, computing device, and at least one non-transitory computer-readable medium are provided. A dynamical network model is parameterized by state transition matrices based on monitored interictal brain data. A node influence-to network score for each respective node is calculated indicating how influential the respective node is. An influenced-by score is calculated for the each respective node indicating an amount by which the respective node is influenced by the nodes. A score is calculated for the each respective node based on a sink index, a source influence index, and a sink connectivity index. Nodes that are in the epileptogenic zone are determined based on the calculated score for each of the nodes. An indication of the nodes in the epileptogenic zone is provided.

Abstract: A closed-loop implantable neurostimulator system for mitigating chronic pain, the closed-loop implantable neurostimulator system including a neuromodulation device comprising one or more electrodes configured to measure a physiological signal of a subject and deliver an electrical stimulation signal to a target area in the subject and a controller, in communication with the one or more electrodes, comprising a processor and a computer-readable memory storing a trained healthy computer model, the controller configured to analyze the physiological signal that is measured using the trained healthy computer model to identify a corrective electrical stimulation signal that, when delivered by the one or more electrodes to the target area, reduces pathological neuronal events in the target area while preserving acute pain response.

Abstract: Physiological time-series (PTS) data is sampled continuously from patients in the ICU. Here, this data is used to identify and prevent septic shock. The present invention applies statistical modeling and machine learning methods to implement an early warning policy for predicting those patients likely to transition from non-sepsis, early sepsis or sepsis into septic shock. Results demonstrate that the system and method of the present invention can provide higher sensitivity and specificity in this task than any other method reported to date. The present invention triggers an advanced early warning of this pending transition with median value 12.5 hours, giving ample opportunity for physicians to intervene to treat and prevent the patient from developing septic shock.

Abstract: A device may receive electroencephalography data relating to one or more cerebral regions. The device may generate, based on the electroencephalography data, a cortical stimulation mapping model of the one or more cerebral regions, wherein the cortical stimulation mapping model includes one or more virtual inputs and one or more virtual outputs corresponding to the one or more cerebral regions. The device may apply a virtual impulse to the one or more virtual inputs. The device may determine a virtual after-discharge from the one or more virtual outputs, wherein the virtual after-discharge includes information relating to an electrical response to the virtual impulse. The device may generate, based on the virtual after-discharge, an index that maps a magnitude of the virtual after-discharge to the one or more cerebral regions. The device may cause an action to be performed based on the index.

Abstract: The present invention is directed to a system and method for using physiological time-series (PTS) data sampled continuously from patients in the ICU. An algorithm according to an embodiment of the present invention applies statistical modeling and machine learning methods to implement an early warning policy for predicting those patients likely to transition from non-sepsis, early sepsis or sepsis into septic shock. Results demonstrate that the system and method of the present invention can provide higher sensitivity and specificity in this task than any other method reported to date. It provides an advanced early warning of this pending transition with median value 12.5 hours, giving ample opportunity for physicians to intervene to prevent the patient from developing septic shock.

Abstract: A neurostimulation device includes a plurality of electrodes adapted to be electrically connected to a subject to receive multichannel electrical signals from the subject's brain, a multichannel seizure detection unit electrically connected to the plurality of electrical leads to receive the multichannel electrical signals, and a neurostimulation unit in communication with the multichannel seizure detection unit. The plurality of electrodes are at least three electrodes such that the multichannel electrical signals are at least three channels of electrical signals, and the multichannel seizure detection unit detects a presence of a seizure based on multichannel statistics from the multichannel electrical signals including higher order combinations than two-channel combinations.

Abstract: A method of identifying an epileptogenic zone of a subject's brain includes receiving a plurality of electrical signals from a corresponding plurality of surgically implanted electrodes, calculating a first plurality of connectivities between each pair of electrodes based on a portion of each of the plurality of electrical signals corresponding to a first time period, assigning a rank corresponding to each electrode for the first period of time based on the first plurality of connectivities to provide a first plurality of ranks, calculating a second plurality of connectivities between each pair of electrodes based on a portion of each of the plurality of electrical signals corresponding to a second time period, assigning a rank corresponding to each electrode for the second period of time based on the second plurality of connectivities to provide a second plurality of ranks, identifying a cluster of electrodes among the plurality of electrodes based on relative changes between the first plurality of ranks fro

Abstract: A neurostimulation device includes a plurality of electrodes adapted to be electrically connected to a subject to receive multichannel electrical signals from the subject's brain, a multichannel seizure detection unit electrically connected to the plurality of electrical leads to receive the multichannel electrical signals, and a neurostimulation unit in communication with the multichannel seizure detection unit. The plurality of electrodes are at least three electrodes such that the multichannel electrical signals are at least three channels of electrical signals, and the multichannel seizure detection unit detects a presence of a seizure based on multichannel statistics from the multichannel electrical signals including higher order combinations than two-channel combinations. Another embodiment of the invention includes determining a singular vector centrality (SVC) for each of the electrodes in order to detect the seizure onset.

Abstract: A method of identifying an epileptogenic zone of a subject's brain includes receiving a plurality of electrical signals from a corresponding plurality of surgically implanted electrodes, calculating a first plurality of connectivities between each pair of electrodes based on a portion of each of the plurality of electrical signals corresponding to a first time period, assigning a rank corresponding to each electrode for the first period of time based on the first plurality of connectivities to provide a first plurality of ranks, calculating a second plurality of connectivities between each pair of electrodes based on a portion of each of the plurality of electrical signals corresponding to a second time period, assigning a rank corresponding to each electrode for the second period of time based on the second plurality of connectivities to provide a second plurality of ranks, identifying a cluster of electrodes among the plurality of electrodes based on relative changes between the first plurality of ranks fro

Abstract: A neurostimulation device includes a plurality of electrodes adapted to be electrically connected to a subject to receive multichannel electrical signals from the subject's brain, a multichannel seizure detection unit electrically connected to the plurality of electrical leads to receive the multichannel electrical signals, and a neurostimulation unit in communication with the multichannel seizure detection unit. The plurality of electrodes are at least three electrodes such that the multichannel electrical signals are at least three channels of electrical signals, and the multichannel seizure detection unit detects a presence of a seizure based on multichannel statistics from the multichannel electrical signals including higher order combinations than two-channel combinations.

Abstract: A DBS system and method for predicting future neurological activity in a subject and administering a corrective electrical stimulation signal to prevent anticipated pathological neuronal activity. The DBS system includes an implantable electrode configured to both record neuronal activity from a target brain area in a subject and administer the corrective electric stimulation signal to the target area. The DBS system also includes a controller configured to determine the characteristics of the corrective electrical stimulation signal based on point process models of healthy and pathological neuronal activity in the target area.

Abstract: A DBS system and method for predicting future neurological activity in a subject and administering a corrective electrical stimulation signal to prevent anticipated pathological neuronal activity. The DBS system includes an implantable electrode configured to both record neuronal activity from a target brain area in a subject and administer the corrective electric stimulation signal to the target area. The DBS system also includes a controller configured to determine the characteristics of the corrective electrical stimulation signal based on point process models of healthy and pathological neuronal activity in the target area.