# US 2025/0082938 A1 · System and method for modulating neural synchrony > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0082938 A1 - Document ID: US20250082938A1 - Status: Published application - Kind: A1 - Application number: 18/826,670 - Filed: 2024-09-06 - Published: 2025-03-13 - Earliest claimed: 2023-09-07 - Assignees: Boston Scientific Neuromodulation Corporation - Applicants: Boston Scientific Neuromodulation Corporation - Inventors: Jianwen Gu - Web page: https://patentgrep.com/patent/US20250082938A1 ## CPC - A61N 1/36139: {with automatic adjustment} - A61B 5/0006: {ECG or EEG signals} - A61B 5/0031: {Implanted circuitry} - A61B 5/293: Invasive - A61B 5/37: Intracranial electroencephalography [IC-EEG], e.g. electrocorticography [ECoG] - A61B 5/374: Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves - A61B 5/4836: {Diagnosis combined with treatment in closed-loop systems or methods (A61B5/0036 takes precedence)} - A61B 5/686: {Permanently implanted devices, e.g. pacemakers, other stimulators, biochips (A61B5/6861 takes precedence)} - A61B 5/6868: {Brain} - A61B 5/7257: {using Fourier transforms} - A61B 5/7285: {for synchronizing or triggering a physiological measurement or image acquisition with a physiological event or waveform, e.g. an ECG signal} - A61B 5/7435: {Displaying user selection data, e.g. icons in a graphical user interface} - A61N 1/0534: {Electrodes for deep brain stimulation} - A61N 1/36067: {Movement disorders, e.g. tremor or Parkinson disease (stimulating motor muscle A61N1/36003)} - A61N 1/36132: {using patient feedback} - A61N 1/36171: {Frequency} - A61N 1/36185: {Selection of the electrode configuration} - A61N 1/3605: {Implantable neurostimulators for stimulating central or peripheral nerve system} - A61N 1/36064: {Epilepsy} - A61N: ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY (measurement of bioelectric currents A61B; surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body A61B18/00; anaesthetic apparatus in general A61M; incandescent lamps H01K; infrared radiators for heating H05B) - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) ## Abstract Methods and systems for addressing issues related to synchrony in neural tissue signals. A spectrum of neural signals in a patient may be measured while the patient is asymptomatic, and compared to signals during a symptomatic episode to determine whether neural signals should be enhanced or disrupted. Depending on the change to neural signals, either enhancing or disrupting neural therapy is generated and confirmed or adjusted. ## Claims ### Claim 1 A method of treating a patient having a neural condition with symptomatic episodes, the method comprising: recording first neural activity while the patient is not experiencing a symptomatic episode; receiving an indication of a symptomatic episode; recording second neural activity during the symptomatic episode; identifying characteristic frequencies of the first neural activity and characteristic frequencies of the second neural activity; selecting a characteristic frequency occurring only during the second neural activity; and issuing neural stimulation to disrupt neural activity at the selected characteristic frequency. ### Claim 2 (depends on 1) The method of claim 1, wherein the step of identifying characteristic frequencies includes performing a mathematical transformation of data for first neural activity and the second neural activity from a time domain to a frequency domain, and identifying peaks in the frequency domain for the first neural activity and the second neural activity. ### Claim 3 (depends on 1) The method of claim 1, wherein the step of issuing neural stimulation to disrupt the selected characteristic frequency includes identifying a source of the second neural activity having the selected characteristic frequency. ### Claim 4 (depends on 1) The method of claim 1, further comprising: identifying a location of the second neural activity having the selected characteristic frequency; and issuing neural stimulation to disrupt neural activity at the selected characteristic frequency by selecting electrodes for delivering the neural stimulation to deliver an electrical field at the location of the second neural activity. ### Claim 5 (depends on 1) The method of claim 1, wherein the step of issuing neural stimulation is performed using an implanted neural stimulator having a lead with a plurality of electrodes, the neural stimulator configured to selectively use subsets of the plurality of electrode to sense neural activity, and the method further comprises: a) sensing neural activity using each of a first subset of the plurality of electrodes and a second subset of the plurality of electrodes; b) determining which of the subsets of the plurality of electrodes used in a) attains a stronger signal at the selected characteristic frequency; and c) issuing the neural stimulation using the subset of the plurality of electrodes identified in b). ### Claim 6 (depends on 1) The method of claim 1, wherein the step of issuing neural stimulation comprises: sensing neural activity; filtering the sensed neural activity to obtain signals at the selected characteristic frequency; determining a time of peaks at the characteristic frequency; and issuing the neural stimuli at a delay relative to the time of peaks. ### Claim 7 (depends on 6) The method of claim 6, wherein the delay is selected to achieve a phase delay in the range of 120 to about 240 degrees. ### Claim 8 (depends on 1) The method of claim 1, wherein the step of issuing neural stimulation is performed at a frequency having a period that is in the range of about 105% to 125% of a period of the characteristic frequency. ### Claim 9 (depends on 1) The method of claim 1, wherein the steps of recording first neural activity and second neural activity are performed with an implanted system. ### Claim 10 (depends on 1) The method of claim 1, wherein the step of issuing neural stimulation is performed in response to a trigger. ### Claim 11 (depends on 10) The method of claim 10, wherein the trigger is a patient input indicating occurrence of symptoms. ### Claim 12 (depends on 10) The method of claim 10, wherein the trigger is a detection of the characteristic frequency occurring only in the second neural activity. ### Claim 13 A method of treating a patient having a neural condition with symptomatic episodes, the method comprising: obtaining first neural activity representing an expected neural activity spectral data; receiving an indication of a symptomatic episode; recording second neural activity during the symptomatic episode; identifying characteristic frequencies of the first neural activity and characteristic frequencies of the second neural activity; selecting a characteristic frequency occurring only during the second neural activity; and issuing neural stimulation to disrupt neural activity at the selected characteristic frequency. ### Claim 14 (depends on 13) The method of claim 13, wherein the step of identifying characteristic frequencies includes performing a mathematical transformation of data for the second neural activity from a time domain to a frequency domain, and identifying peaks in the frequency domain for the second neural activity. ### Claim 15 (depends on 13) The method of claim 13, wherein the step of issuing neural stimulation to disrupt the selected characteristic frequency includes identifying a source of the second neural activity having the selected characteristic frequency. ### Claim 16 (depends on 13) The method of claim 13, further comprising: identifying a location of the second neural activity having the selected characteristic frequency; and issuing neural stimulation to disrupt neural activity at the selected characteristic frequency by selecting electrodes for delivering the neural stimulation to deliver an electrical field at the location of the second neural activity. ### Claim 17 (depends on 13) The method of claim 13, wherein the step of issuing neural stimulation is performed using an implanted neural stimulator having a lead with a plurality of electrodes, the neural stimulator configured to selectively use subsets of the plurality of electrode to sense neural activity, and the method further comprises: a) sensing neural activity using at least a first subset of the plurality of electrodes and a second subset of the plurality of electrodes; b) determining which of the subsets of the plurality of electrodes used in a) attains a stronger signal at the selected characteristic frequency; and c) issuing the neural stimulation using the subset of the plurality of electrodes identified in b). ### Claim 18 (depends on 13) The method of claim 13, wherein the step of issuing neural stimulation comprises: sensing neural activity; filtering the sensed neural activity to obtain signals at the selected characteristic frequency; determining a time of peaks of the neural activity in the characteristic frequency; and issuing the neural stimuli at a delay relative to the time of peaks. ### Claim 19 A method of treating a patient having a neural condition with symptomatic episodes, the method comprising: recording first neural activity while the patient is not experiencing a symptomatic episode; receiving an indication from a patient of a symptomatic episode; recording second neural activity during the symptomatic episode; identifying characteristic frequencies of the first neural activity and characteristic frequencies of the second neural activity; selecting a characteristic frequency occurring only in the first neural activity; and issuing neural stimulation to enhance neural activity at the selected characteristic frequency. ### Claim 20 (depends on 19) The method of claim 19, wherein the step of identifying characteristic frequencies includes performing a mathematical transformation of data for the first neural activity and the second neural activity from a time domain to a frequency domain, and identifying peaks in the frequency domain for the first neural activity and the second neural activity.