Example methods are disclosed herein that include obtaining electroencephalographic (EEG) data from a subject via a device comprising two or more independently adjustable bands, each of the bands having a plurality of electrodes to detect the electroencephalographic data from a brain of the subject, each band selectively rotatable relative to an adjacent band and each band selectively compressible to increase a force of the electrodes against a head of the subject. The example method also includes converting the EEG data into digital EEG signals and conditioning the digital EEG signals. In addition, the example method includes analyzing the digital EEG signals using one or more analysis protocols to determine a mental characteristic of the subject and transmitting the mental characteristic to an output device.

A method of automatically monitoring electrophysiological data in the brain and detecting clinically significant events comprises receiving signal inputs from at least one or more electrophysiological signal channels each indicative of electrical brain activity. For each of the one or more electrophysiological signal channels, the signals are filtered to obtain a first subchannel having a first frequency range and a second subchannel having a second frequency range. Appearance of a succession of correlated, non-synchronous events are detected in the waveforms of the one or more first subchannels to create a first detection output. Suppression of an amplitude of the signal is detected in one or more of the second subchannels correlated with the detected events in the one or more first subchannels to create a second detection output. The detected events are classified as a predetermined type of clinically significant event according to the first and second detection outputs. Spreading depolarization waves, peri-infarct depolarizations and other clinically significant events may be classified and displayed.

An method of operating an implantable device includes sensing a neural signal generated in a tissue of a body, recognizing input information to process a cryptocurrency-based financial transaction by analyzing the sensed neural signal, and processing the cryptocurrency-based financial transaction based on the recognized input information.

A cortical spreading depolarization sensing method includes: acquiring, for each of a plurality of sites of the brain, waveform data indicating a temporal change in one or more types of biological information including at least any one of a direct current component of an electroencephalogram, hemoglobin concentration in the brain, cerebral blood flow, and brain temperature; determining windows set at predetermined time intervals on the waveform data and calculating a predetermined feature amount for each of the windows; performing threshold processing on the feature amounts to extract a timing of the occurrence of an event in which a value of the waveform data temporarily changes due to cortical spreading depolarization; acquiring the frequency distribution of the timings extracted based on the plurality of waveform data acquired in relation to a plurality of sites of the brain; and determining whether cortical spreading depolarization has occurred, based on the frequency distribution.

A cortical spreading depolarization sensing method includes: acquiring, for each of a plurality of sites of the brain, waveform data indicating a temporal change in one or more types of biological information including at least any one of a direct current component of an electroencephalogram, hemoglobin concentration in the brain, cerebral blood flow, and brain temperature; determining windows set at predetermined time intervals on the waveform data and calculating a predetermined feature amount for each of the windows; performing threshold processing on the feature amounts to extract a timing of the occurrence of an event in which a value of the waveform data temporarily changes due to cortical spreading depolarization; acquiring the frequency distribution of the timings extracted based on the plurality of waveform data acquired in relation to a plurality of sites of the brain; and determining whether cortical spreading depolarization has occurred, based on the frequency distribution.

Example devices are disclosed herein that include a first elongated band coupled to a first housing to be located on a first side of a head of a subject and a second housing to be located near a second side of the head of the subject, the first elongated band comprising a first set of electrodes. The example device also includes a second elongated band coupled to the first housing and to the second housing, the second elongated band comprising a second set of electrodes. In addition, the device includes a third elongated band coupled to the first housing and to the second housing, the third elongated band comprising a third set of electrodes.

The present disclosure provides systems and methods for selecting contacts for use in deep brain stimulation (DBS). A computing device includes a processor and a memory device communicatively coupled to the processor. The memory device includes instructions that, when executed, cause the processor to apply a spatial filter to local field potential (LFP) recordings for a plurality of contacts of a DBS lead, calculate a power spectral density (PSD) for each contact from the filtered LFP for that contact, calculate a parametric approximation for each PSD, select at least one frequency band based on the parametric approximations, calculate a spectral coherency matrix for each of the at least one selected frequency band, and calculate an eigenvector centrality for each spectral coherency matrix to facilitate identifying a contact for stimulation.

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.

The present disclosure provides a system for analyzing physiological signals. The system comprises a visual output module for rendering a visual output space according to a plurality of analyzed data sets generated by a analysis module, and displaying a visual output, wherein the visual output comprises a first axis representing frequency modulation (FM), a second axis representing amplitude modulation (AM), and a plurality of visual element defined by the first axis and the second axis, and each of the visual elements comprises an accumulated signal strength and the analyzed data sets.

The electrocorticographic electrode includes a first connector unit including a connector, the connector having a plurality of connection terminals electrically connectable to the plurality of wirings; one or more electrode units extending in a first direction and having a base connected to the first connector unit; an electrode unit for inferior division of temporal lobe extending in a second direction intersecting the first direction via a wiring unit, the wiring unit extending in the first direction and having a base connected to the first connector unit; a ground electrode unit connectable to ground potential and having a base connected to the first connector unit; and a reference electrode unit detectable a reference signal and having a base connected to the first connector unit, wherein an electrode unit for superior division of temporal lobe is provided on at least one end of the one or more electrode units, the electrode unit for superior division of temporal lobe extending in the second direction and including an electrode that can be placed in proximity to an electrode arranged in the electrode unit for inferior division of temporal lobe.