EP-4342373-B1 - TARGET DETERMINATION METHOD AND APPARATUS, ELECTRONIC DEVICE, STORAGE MEDIUM, AND NEUROMODULATION DEVICE

EP4342373B1EP 4342373 B1EP4342373 B1EP 4342373B1EP-4342373-B1

Inventors

WEI, KECHENG
WANG, Yezhe
ZHANG, WEI
ZHANG, QIONG

Dates

Publication Date: 20260506
Application Date: 20220704

Claims (11)

A computer-implemented method for target identification of a subject to realize the location of individualized neuromodulation target of the subject, comprising: Acquiring (201) scanning data of the subject, wherein the scanning data comprise the data acquired from magnetic resonance imaging of the brain of the subject; Determining (202) at least two regions of interest of the subject based on the scanning data; characterized in that , the computer-implemented method further comprises: Determining (203) at least one abnormal region of interest in the at least two regions of interest in accordance with a predetermined anomaly detection rule; and Determining (204) a target based on the at least one abnormal region of interest, wherein determining a target based on the at least one abnormal region of interest comprises: determining whether the at least one abnormal region of interest is located in a modulation brain region or not; if the at least one abnormal region of interest is located in the modulation brain region, determining a center of the at least one abnormal region of interest as the target, or, determining a region with the center of the at least one abnormal region of interest as a spherical center and with a predetermined target radius as a first target region of interest, determining the target based on a position of the first target region of interest; if the at least one abnormal region of interest is not located in the modulation brain region, determining the connectivity of the at least one abnormal region of interest with other regions of interest in the at least two regions of interest, and the region of interest among the other regions of interest having the connectivity with the at least one abnormal region of interest that exceeds a predetermined connectivity threshold and which is located in the modulation region as a second target candidate; and determining a center of the second target candidate as the target, or determining a region with the center of the second target candidate as a spherical center and with the predetermined target radius as the second target region of interest, determining the target based on a position of the second target region of interest.
The computer-implemented method according to claim 1, wherein determining the at least two regions of interest of the subject based on the scanning data, comprises: determining the at least two regions of interest of the subject based on a volume standard brain template according to the scanning data.
The computer-implemented method according to claim 1, wherein determining the at least two regions of interest of the subject based on the scanning data, comprises: determining the at least two regions of interest of the subject based on a cortical standard brain template according to the scanning data.
The computer-implemented method according to claim 1, wherein determining the at least two regions of interest of the subject based on the scanning data, comprises: Determining (202a1) connectivity between each two voxels in the scanning data to form a brain connectivity matrix corresponding to the scanning data; and Forming (202a2) the at least two regions of interest based on a brain region template of a standard brain and the brain connectivity matrix.
The computer-implemented method according to claim 1, wherein determining at least one abnormal region of interest in the at least two regions of interest in accordance with a predetermined anomaly detection rule, comprises: acquiring group brain magnetic resonance data; determining a group brain connectivity matrix based on the group brain magnetic resonance data; determining connectivity between each two voxels in the scanning data to form a brain connectivity matrix of the subject corresponding to the scanning data; and determining the at least one abnormal region of interest in accordance with the group brain connectivity matrix and the brain connectivity matrix of the subject.
The computer-implemented method according to claim 1, wherein determining the target based on the at least one abnormal region of interest comprises: determining a brain structure subdivision in which the target is located based on a disease type of the subject; determining an intersection of the at least one abnormal region of interest or the region of interest whose connectivity with the abnormal region of interest satisfies a predetermined connectivity threshold condition with the brain structure subdivision as a target candidate; and determining a center of the target candidate as the target, or, determining a region with the center of the target candidate as a spherical center and with a predetermined target radius as the target region of interest, and determining the target based on a position of the target region of interest.
The computer-implemented method according to claim 1, wherein the magnetic resonance imaging comprises: structural magnetic resonance imaging of the brain, and/or, task-based functional magnetic resonance imaging, and/or, resting state functional magnetic resonance imaging.
An electronic apparatus, comprising: at least one processor; and a storage device having at least one program stored thereon, wherein the at least one program, when executed by the at least one processor, causes the at least one processor to execute the computer-implemented method according to any one of claims 1 to 7.
A computer readable storage medium, having a computer program stored thereon, wherein the computer program, when executed by at least one processor, executes the method according to any one of claims 1 to 7.
A neuromodulation apparatus comprising the electronic apparatus of claim 8 , configured to make neuromodulation on a target of a subject in accordance with a preset neuromodulation solution; wherein the target is determined by the computer-implemented method according to any one of claims 1 to 7.
The apparatus according to claim 10, wherein the preset neuromodulation solution comprises at least one of: deep brain electrical stimulation; transcranial electrical stimulation; electroconvulsive therapy; electrical stimulation based on cortical brain electrodes; transcranial magnetic stimulation; focused ultrasound neuromodulation; magnetic resonance guided high-intensity focused ultrasound therapy neuromodulation; and photobiomodulation therapy.

Description

TECHNICAL FIELD . The present disclosure relates to the field of computer technology, in particular, to a method and a device for target identification, an electronic apparatus, a storage medium and a neuromodulation apparatus. BRIEF DESCRIPTION OF THE RELATED ART . US patent publication US 2015/119689A1 discloses Systems and methods for treatment of neurological conditions using aTBS in accordance with embodiments of the invention are illustrated. One embodiment includes a method for treating neurological conditions, including generating a personalized accelerated theta burst stimulation (aTBS) target representing a location in a patient's brain related to a neurological condition, placing a TMS device relative to the patient's brain such that the focus of the magnetic field is over the aTBS target, applying TMS to the TBS target according to an aTBS protocol to the brain using the TMS device to alleviate the neurological condition. . US patent publication US 2021/170180A1 discloses A method of performing personalized neuromodulation on a subject is provided. The method includes acquiring functional magnetic resonance imaging (fMRI) data of a brain of the subject. The method also includes calculating functional connectivity of the brain between a voxel in a subcortical region of the brain and a voxel in a cortical region of the brain, based on the fMRI data. The method also includes identifying a target location in the brain to be targeted by neuromodulation based on the calculated functional connectivity. . A variety of neurological and psychiatric disorders often do not have a clear pathogenic focus, but only manifest as abnormal neurological function. The use of neuromodulation methods such as electricity, magnetism, light and ultrasound to directly or indirectly adjust the abnormal functional network is an important approach to improve the symptoms of patients. The challenge lies in determining neuromodulation targets in the human brain. Studies have shown that for most neurological and psychiatric disorders, it is typically impossible to achieve the desirable modulation and therapeutic effect since the etiology of the disease and the location of the disorder focus cannot be directly obtained from the structural images. Therefore, there is a clinical need for an objective, accurate, and quantifiable auxiliary method to help physicians screen individualized neuromodulation targets. Existing methods for identifying neuromodulation targets do not meet this need. SUMMARY OF THE DISCLOSURE . The present disclosure proposes out a method and a device for target identification, an electronic apparatus, a storage medium and a neuromodulation apparatus for screening individualized neuromodulation targets. . In a first aspect, the present disclosure provides a method of target identification, the method comprising: acquiring scanning data of a subject, wherein the scanning data comprise the data acquired from magnetic resonance imaging of the brain of the subject; determining at least two regions of interest(ROI) of the subject based on the scanning data; determining at least one abnormal region of interest(ROI) in the at least two regions of interest in accordance with a predetermined anomaly detection rule; determining a target based on the at least one abnormal region of interest. . In some optional embodiments, determining the at least two regions of interest of the subject based on the scanning data comprises: determining connectivity between each two voxels in the scanning data to form a brain connectivity matrix corresponding to the scanning data;forming the at least two regions of interest based on a brain region template of a standard brain and the brain connectivity matrix. . In some optional embodiments, determining the at least two regions of interest of the subject based on the scanning data comprises: determining the connectivity between each two voxels in the scanning data;dividing the scanning data corresponding to the anatomical structure of the brain of the subject into a plurality of big regions, dissecting each of the plurality of big regions into a plurality of brain regions, wherein each of the plurality of brain regions comprises at least one voxel;fusing brain regions of the plurality of brain regions having a voxel connectivity between the brain regions above a predetermined brain region voxel connectivity threshold to form the at least two regions of interest. . In some optional embodiments, determining the at least two regions of interest of the subject based on the scanning data, comprises: determining the at least two regions of interest of the subject based on a volume standard brain template according to the scanning data. . In some optional embodiments, determining the at least two regions of interest of the subject based on the scanning data, comprises: determining the at least two regions of interest of the subject based on a cortical standard brain template according to the scan