A method and system is described for ensuring a state of an active implantable medical device based on the presence and persistence of a magnetic field. The output of a magnetic field sensor is monitored. The active implantable medical device is maintained in a first state, for so long as the presence of a magnetic field is detected by the magnetic field sensor, until a first interval is surpassed. If the first interval is surpassed, then a determination is made as to whether a second interval has been surpassed. If it is determined that the second interval has not been surpassed, then the active implantable medical device is transitioned into a second state. If it is determined that the second interval has been surpassed, then it is ensured that the active implantable medical device is in a predetermined one of the first and second states.

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.

A method for optimizing stimulation for a patient having a stimulator device such as a Deep Brain Stimulation (DBS) device is disclosed, which involves a consideration of tissue imaging information in the environment around the lead. Test stimulation is provided at initial combinations of lead positions and values of a stimulation parameter such as amplitude, with patient results scored for each combination. Tissue imaging information is assessed in conjunction with these scores, and a next combination of position and a value of the stimulation parameter to test is determined. This process repeats iteratively until a stopping criterium is met. The lead positions in question may be longitudinal or rotational positions around the lead, and preferably both if the lead is directional in nature. Tissue imaging information can also be used to exclude certain positions or stimulation values during subsequent optimization testing.

The present disclosure provides methods for detecting hyperkinetic state by measuring brain activity of a patient suffering from a movement disorder. Also provided are methods for modulating therapy in patients suffering from a movement disorder. Aspects of the methods include measuring activity in brain of the patient and changing a treatment regimen if hyperkinetic state is detected. Also provided are devices, systems, and kits that may be used in practicing the subject methods.

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.

An initial set of parameters for operating one or more detection tools is automatically derived and subsequently adjusted so that each detection tool is more or less sensitive to signal characteristics in a region of interest. Detection tool(s) may be applied to physiological signals sensed from a patient (such as EEG signals) and may be configured to run in an implanted medical device that is programmable with the parameters to look for rhythmic activity, spiking, and power changes in the sensed signals, etc. A detection tool may be selected and parameter values derived in a logical sequence and/or in pairs based on a graphical representation of an activity type which may be selected by a user, for example, by clicking and dragging on the graphic via a GUI. Displayed simulations allow a user to assess what will be detected with a derived parameter set and then to adjust the sensitivity of the set or start over as desired.

Methods for storing data records associated with a medical monitoring event in a data structure. An implanted device obtains data and stores the data in the data record in a first data structure that is age-based. Before an oldest data record is lost, the oldest data record may be stored in a second data structure that is priority index-based. The priority index may be determined by a severity level and may be further determined by associated factors. The implanted device may organize, off-load, report, and/or display a plurality of data records based on an associated priority index. Additionally, the implanted device may select a subset or composite of physiologic channels from the available physiologic channels based on a selection criterion.

The method and system described herein relate to stimulating nerve tissue using a pulse generator. A stimulus is created that comprises a signal that is produced from a frequency spectrum having a power spectral density per unit of bandwidth proportional to 1/f.sup., wherein is excludes 0. The stimulus is provided from the pulse generator to at least one stimulation lead; and applied to nerve tissue via one or several electrodes.

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.

Methods and systems for identifying epileptogenic regions of the brain and locating seizure foci can use only interictal EEG data. These methods and systems enable a physician to locate seizure foci without having to wait for a patient to experience a seizure and have it recorded. A network causality analysis can be applied to the interictal EEG data to determine the causal nodes, the nodes influenced by the causal nodes and the causal connection or link between the nodes. The most influential causal nodes can be ranked and used to generate a map of causal links in the brain networks to accelerate the identification of the epileptogenic regions of the brain and the location seizure focus.