B. G. NEGEV TECHNOLOGIES AND APPLICATIONS LTD. (Israel)
Inventor
Alyagon, Uri
Zangen, Abraham
Pell, Gaby S.
Roth, Yiftach
Segal, Ronen
Geva, Amir
Peremen, Ziv
Sadeh, Boaz
Shani-Hershkovich, Revital
Haor, Dror
Abstract
Apparatus and methods are described for use with electrophysiological signal detecting electrodes, and a transcranial magnetic stimulation device. A computer processor drives the transcranial stimulation device to apply one or more pulses of transcranial magnetic stimulation to a subject. Within a given time period of applying one of the one or more pulses of transcranial magnetic stimulation to the subject, the computer processor detects an electrophysiological signal of the subject, using the electrophysiological signal detecting electrodes. At least partially in response thereto, the computer processor predicts an outcome of treating the subject for a neuropsychiatric condition, using a given therapy, and generates an output on an output device in response to the predicted outcome. Other applications are also described.
YISSUM RESEARCH DEVELOPMENT COMPANY OF THE HEBREW UNIVERSITY OF JERUSALEM LTD. (Israel)
Inventor
Geva, Amir B.
Bergman, Hagai
Peremen, Ziv
Haor, Dror
Sand, Daniel
Stern, Yaki
Sadeh, Boaz
Abstract
A method of analyzing performance of a brain stimulation tool is disclosed. The method comprises: obtaining encephalography data collected from a brain of a subject electrically stimulated by at least one of the electrode contacts of the brain stimulation tool; segmenting the data into a plurality of epochs, each corresponding to a single stimulation event generated by the brain stimulation tool; and applying a spatiotemporal analysis to the epochs so as to determine at least one of (i) location of the at least one electrode contact in the brain, and (ii) therapeutic effect of the at least one electrode contact.
A61B 5/048 - Detecting the frequency distribution of signals
A61B 5/0484 - Electroencephalography using evoked response
A61M 21/02 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
A61N 1/18 - Applying electric currents by contact electrodes
3.
APPARATUS AND METHODS FOR PREDICTING THERAPY OUTCOME
B.G. NEGEV TECHNOLOGIES AND APPLICATIONS LTD. (Israel)
ELMINDA LTD. (Israel)
Inventor
Alyagon, Uri
Zangen, Abraham
Pell, Gaby S.
Roth, Yiftach
Segal, Ronen
Geva, Amir
Peremen, Ziv
Sadeh, Boaz
Shani-Hershkovich, Revital
Haor, Dror
Abstract
Apparatus and methods are described for use with electrophysiological signal detecting electrodes (14), and a transcranial magnetic stimulation device (10). A computer processor (16) drives the transcranial stimulation device to apply one or more pulses of transcranial magnetic stimulation to a subject. Within a given time period of applying one of the one or more pulses of transcranial magnetic stimulation to the subject, the computer processor detects an electrophysiological signal of the subject, using the electrophysiological signal detecting electrodes (14). At least partially in response thereto, the computer processor predicts an outcome of treating the subject for a neuropsychiatric condition, using a given therapy, and generates an output on an output device (18) in response to the predicted outcome. Other applications are also described.
Apparatus and methods are described for use with electrophysiological signal detecting electrodes (14), and a transcranial magnetic stimulation device (10). A computer processor (16) drives the transcranial stimulation device to apply one or more pulses of transcranial magnetic stimulation to a subject. Within a given time period of applying one of the one or more pulses of transcranial magnetic stimulation to the subject, the computer processor detects an electrophysiological signal of the subject, using the electrophysiological signal detecting electrodes (14). At least partially in response thereto, the computer processor predicts an outcome of treating the subject for a neuropsychiatric condition, using a given therapy, and generates an output on an output device (18) in response to the predicted outcome. Other applications are also described.
A method of configuring a local brain stimulation tool is disclosed. The method comprises: obtaining a reference brain network activity (BNA) pattern, and a BNA pattern describing a neurophysiological state of the subject, each of the BNA patterns having a plurality of nodes and each node representing a brain location and at least one brain wave frequency. The method further comprises comparing the BNA patterns; and configuring the local brain stimulation tool to apply local brain stimulation at a frequency selected based on the comparison.
B.G. NEGEV TECHNOLOGIES & APPLICATIONS LTD., AT BEN-GURION UNIVERSITY (Israel)
Inventor
Geva, Amir B.
Shavit, Reuven
Haor, Dror
Stern, Yaki
Peremen, Ziv
Abstract
A method of estimating potential distribution over a cortical surface of a brain of a subject is disclosed. The method comprises: obtaining encephalogram (EG) data recorded from a scalp surface of the head, and head model data describing a geometry of the head and electrical property distribution of tissues within the head. The method further comprises calculating differentials of the EG data over the scalp surface, calculating volumetric distribution of electrical potential between the cortex and scalp surfaces using the EG data and the differentials, and estimating the potential distribution over the cortical surface based on the volumetric distribution.
A method of managing pain using neurophysiological data acquired from the brain of a subject is disclosed. The method comprises: identifying activity-related features in the data; parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain; comparing at least some of the defined capsules to at least one reference capsule; and assessing the likelihood that the subject is experiencing pain responsively to the comparison.
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61N 1/36 - Applying electric currents by contact electrodes alternating or intermittent currents for stimulation, e.g. heart pace-makers
A method of configuring a local brain stimulation tool is disclosed. The method comprises: obtaining a reference brain network activity (BNA) pattern, and a BNA pattern describing a neurophysiological state of the subject, each of the BNA patterns having a plurality of nodes and each node representing a brain location and at least one brain wave frequency. The method further comprises comparing the BNA patterns; and configuring the local brain stimulation tool to apply local brain stimulation at a frequency selected based on the comparison.
A method of analyzing neurophysiological data recorded from a subject is disclosed. The method comprises identifying activity-related features in the data, and parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain. The method further comprises comparing at least some of the defined capsules to at least one reference capsule, and estimating a brain function of the subject based on the comparison.
A61B 5/048 - Detecting the frequency distribution of signals
A61B 5/0484 - Electroencephalography using evoked response
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/16 - Devices for psychotechnicsTesting reaction times
A61N 1/36 - Applying electric currents by contact electrodes alternating or intermittent currents for stimulation, e.g. heart pace-makers
G06F 17/30 - Information retrieval; Database structures therefor
G06T 11/20 - Drawing from basic elements, e.g. lines or circles
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
A61B 5/05 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves
A method of managing pain using neurophysiological data acquired from the brain of a subject is disclosed. The method comprises: identifying activity-related features in the data; parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain; comparing at least some of the defined capsules to at least one reference capsule; and assessing the likelihood that the subject is experiencing pain responsively to the comparison.
A method for functional analysis of neurophysiological data by decomposing neurophysiological data and EEG signal to form a plurality of signal features. The signal features may then optionally be analyzed to determined one or more patterns.
A method of estimating the likelihood of brain concussion from neurophysiological data acquired from the brain of the subject is disclosed. The method comprises: identifying activity-related features in the data; constructing a subject-specific brain network activity (BNA) pattern having a plurality of nodes, wherein each node represents a feature of the activity-related features, and each pair of nodes is assigned with a connectivity weight; calculating a BNA pattern similarity describing a comparison between the constructed BNA pattern and a baseline BNA pattern being specific to the subject; and assessing the likelihood of brain concussion responsively to the BNA pattern similarity.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/048 - Detecting the frequency distribution of signals
A61B 5/0484 - Electroencephalography using evoked response
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
13.
NEUROPHYSIOLOGICAL DATA ANALYSIS USING SPATIOTEMPORAL PARCELLATION
A method of analyzing neurophysiological data recorded from a subject is disclosed. The method comprises identifying activity-related features in the data, and parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain. The method further comprises comparing at least some of the defined capsules to at least one reference capsule, and estimating a brain function of the subject based on the comparison.
A61B 5/0484 - Electroencephalography using evoked response
A61B 5/048 - Detecting the frequency distribution of signals
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
Systems and methods for identifying and analyzing neuropsychological flow patterns, include creating a knowledge base of neuropsychological flow patterns. The knowledge base is formed by obtaining signals from multiple research groups for particular behavioral processes, localizing sources of activity participating in the particular behavioral processes, identifying sets of patterns of brain activity for the behavioral processes and neuropsychologically analyzing the localized sources and the identified patterns for each of the research groups. The neuropsychological analysis includes identifying all possible pathways for the identified sets of patterns, ranking the possible pathways based on likelihood for the particular behavioral process and reducing the number of ranked possible pathways based on additional constraints. A system for comparison of obtained signals from an individual to the created knowledge base is provided. These obtained signals are then used to further update the existing knowledge base.
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G06F 17/18 - Complex mathematical operations for evaluating statistical data
G06K 9/62 - Methods or arrangements for recognition using electronic means
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
A method of estimating the likelihood of brain concussion from neurophysiological data acquired from the brain of the subject is disclosed. The method comprises: identifying activity-related features in the data; constructing a subject- specific brain network activity (BNA) pattern having a plurality of nodes, wherein each node represents a feature of the activity-related features, and each pair of nodes is assigned with a connectivity weight; calculating a BNA pattern similarity describing a comparison between the constructed BNA pattern and a baseline BNA pattern being specific to the subject; and assessing the likelihood of brain concussion responsively to the BNA pattern similarity.
A method of analyzing neurophysiological data is disclosed. The method comprises: identifying activity-related features in the data, constructing a brain network activity (BNA) pattern having a plurality of nodes, each representing a feature of the activity-related features, and assigning a connectivity weight to each pair of nodes in the BNA pattern.
G01N 33/48 - Biological material, e.g. blood, urineHaemocytometers
A61B 5/048 - Detecting the frequency distribution of signals
A61B 5/0484 - Electroencephalography using evoked response
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
42 - Scientific, technological and industrial services, research and design
Goods & Services
Scientific services being providing a non-invasive
technology platform for mapping, monitoring and
understanding brain electro-physiological network activity
to empower a dramatic advancement of clinical diagnosis and
treatment of brain disorders and injuries; design and
development of computer hardware and software.
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Providing non-invasive technology platform, consisting of computer software and hardware, for mapping, monitoring and understanding brain electro-physiological network activity to empower a dramatic advancement of clinical diagnosis and treatment of brain disorders and injuries; design and development of computer hardware and software.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Scientific services for providing a non-invasive technology platform, namely, providing nondownloadable software for mapping, monitoring and understanding brain electro-physiological network activity to empower a dramatic advancement of clinical diagnosis and treatment of brain disorders and injuries
20.
METHOD AND SYSTEM FOR WEIGHTED ANALYSIS OF NEUROPHYSIOLOGICAL DATA
A method of analyzing neurophysiological data is disclosed. The method comprises: identifying activity-related features in the data, constructing a brain network activity (BNA) pattern having a plurality of nodes, each representing a feature of the activity-related features, and assigning a connectivity weight to each pair of nodes in the BNA pattern.
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
A method for functional analysis of neurophysiological data by decomposing neurophysiological data and EEG signal to form a plurality of signal features. The signal features may then optionally be analyzed to determined one or more patterns.
Systems and methods for identifying and analyzing neuropsychological flow patterns, include creating a knowledge base of neuropsychological flow patterns. The knowledge base is formed by obtaining signals from multiple research groups for particular behavioral processes, localizing sources of activity participating in the particular behavioral processes, identifying sets of patterns of brain activity for the behavioral processes and neuropsychologically analyzing the localized sources and the identified patterns for each of the research groups. The neuropsychological analysis includes identifying all possible pathways for the identified sets of patterns, ranking the possible pathways based on likelihood for the particular behavioral process and reducing the number of ranked possible pathways based on additional constraints. A system for comparison of obtained signals from an individual to the created knowledge base is provided. These obtained signals are then used to further update the existing knowledge base.
A method for functional analysis of neurophysiological data by decomposing neurophysiological data and EEG signal to form a plurality of signal features. The signal features may then optionally be analyzed to determine one or more patterns.
ABSTRACT Systems and methods for identifying and analyzing neuropsychological flow patterns, include creating a knowledge base of neuropsychological flow patterns. The knowledge base is formed by obtaining signals from multiple research groups for particular behavioral processes, localizing sources of activity participating in the particular behavioral processes, identifying sets of patterns of brain activity for the behavioral processes and neuropsychologically analyzing the localized sources and the identified patterns for each of the research groups. The neuropsychological analysis includes identifying all possible pathways for the identified sets of patterns, ranking the possible pathways based on likelihood for the particular behavioral process and reducing the number of ranked possible pathways based on additional constraints. A system for comparison of obtained signals from an individual to the created knowledge base is provided. These obtained signals are then used to further update the existing knowledge base.
G06F 15/18 - in which a program is changed according to experience gained by the computer itself during a complete run; Learning machines (adaptive control systems G05B 13/00;artificial intelligence G06N)
25.
CLINICAL APPLICATIONS OF NEUROPSYCHOLOGICAL PATTERN ANALYSIS AND MODELING
A method for applying a predictive neural model in a clinical setting. The predictive neural model is preferably able to predict the effect of a particular pathology and/or treatment on the brain in advance. Optionally (and alternatively or additionally) a simulation of the effect of a particular pathology and/or treatment on the brain is preferably performed by using the neural model. The neural model preferably includes neurophysiological and neuropsychological data. As used herein, the term 'treatment' preferably includes one or more of pharmacological, surgical or rehabilitative interventions.
Systems and methods for identifying and analyzing neuropsychological flow patterns, include creating a knowledge base of neuropsychological flow patterns. The knowledge base is formed by obtaining signals from multiple research groups for particular behavioral processes, localizing sources of activity participating in the particular behavioral processes, identifying sets of patterns of brain activity for the behavioral processes and neuropsychologically analyzing the localized sources and the identified patterns for each of the research groups. The neuropsychological analysis includes identifying all possible pathways for the identified sets of patterns, ranking the possible pathways based on likelihood for the particular behavioral process and reducing the number of ranked possible pathways based on additional constraints. A system for comparison of obtained signals from an individual to the created knowledge base is provided. These obtained signals are then used to further update the existing knowledge base.
