Transcranial magnetic stimulation modeling and simulation method for task state

A technology of transcranial magnetic stimulation and simulation method, applied in 3D modeling, medical simulation, medical data mining and other directions, can solve the problems of inability to TMS modeling and simulation, achieve good development and application prospects, optimize stimulation parameters, effectively The effect of neural network connections

CN110491518APending Publication Date: 2019-11-22INST OF BIOMEDICAL ENG CHINESE ACAD OF MEDICAL SCI
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2019-11-22

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Abstract

The invention discloses a transcranial magnetic stimulation modeling and simulation method for a task state. A brain tissue structure is constructed by using an MRI T1 image in a resting state, intracranial neural network connection is constructed by utilizing an MRI DTI image in the resting state and an fMRI BOLD image in the task state, then an anisotropic conductivity head model is establishedaccording to the neural network connection, and finally, the TMS intracranial current density distribution in the task state is simulated. According to the method, a functional neural network is established according to intracranial neural electrical activity information reflected by the blood oxygen level, the intracranial neural network connection is described through the combination of the functional network and a structural network, more effective neural network connection can be shown compared with a mode of separately adopting the structural network, and the method has better correspondence to the specific task state. TMS modeling and simulation in the task state have important significance for simulating a stimulation effect of the combination of TMS and specific tasks and optimizing TMS coils and stimulation parameters.
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Description

technical field

[0001] The invention relates to a modeling and simulation method for transcranial magnetic stimulation. In particular, it relates to a modeling and simulation method for transcranial magnetic stimulation aimed at a task state. Background technique

[0002] Repetitive transcranial magnetic stimulation (rTMS) is a brain stimulation technology widely used in the research of brain function, brain network and brain circuit.

[0003] At present, the TMS simulation is mainly aimed at the modeling and simulation of the resting state cranial brain characteristics. The individualized magnetic resonance imaging (MRI) T1 image is used to describe the structural information of the cranial sulci, and the MRI diffusion tensor (diffusion tensor imaging, DTI) image depicts the structural information of the neural network formed by intracranial fiber bundles. For the TMS intracranial current density distribution in the task state, there is no clear modeling and simulation me...

Examples

Embodiment Construction

[0031] Such as figure 1 As shown, a transcranial magnetic stimulation modeling and simulation method for task state includes the following steps:

[0032] S1. Collect resting-state MRI T1 images, resting-state MRI DTI images, and task-state fMRI BOLD images, and all of them are matched to the standard template. According to the spatial coordinates of the standard template, the resting-state MRI T1 images, static The MRIDTI image in the information state and the fMRI BOLD image in the task state establish a unified spatial node, and the number of nodes is N;

[0033] S2. Perform image correction, tissue segmentation and cortical reconstruction on the resting-state MRI T1 image to obtain a structural head model including scalp, skull, cerebrospinal fluid, gray matter, and white matter, and retain spatial node information;

[0034] S3. Diffusion tensor reconstruction is performed on the MRI DTI image in the resting state, and the diffusion tensor eigenvalues ​​of each node of in...