CN104063565A - Real human body head finite element model for deep magnetic stimulation study - Google Patents
Real human body head finite element model for deep magnetic stimulation study Download PDFInfo
- Publication number
- CN104063565A CN104063565A CN201410347061.5A CN201410347061A CN104063565A CN 104063565 A CN104063565 A CN 104063565A CN 201410347061 A CN201410347061 A CN 201410347061A CN 104063565 A CN104063565 A CN 104063565A
- Authority
- CN
- China
- Prior art keywords
- human body
- finite element
- real human
- model
- cranium brain
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Magnetic Resonance Imaging Apparatus (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The invention discloses a real human body head finite element model for a deep magnetic stimulation study. The real human body head finite element model is a finite element simulation model obtained by conducting simulation through a 3D visual software tool according to a human body brain MRT image or a CT image. The finite element model comprises a scalp layer, a limbic system structure and a diencephalon structure. The scalp layer, the limbic system structure and the diencephalon structure respectively have electrical conductivity and relative dielectric constants of real human body brain tissue. The electrical conductivity and the relative dielectric constants can be selected from an NIREMF public database within the magnetic field frequency band range of 10-100 GHz according to actual demands, and values of the electrical conductivity and the relative dielectric constants are assigned to the finite element simulation model through finite element simulation software. The real human body head finite element model can reflect the distribution of a real induction electromagnetic field generated in a human body brain under magnetic stimulation, thereby greatly improving the accuracy and reliability of the stimulation study; the real human body head finite element model enables operation to be simplified and efficient, is specially used for an electromagnetic physiological study on brain deep tissue and is easy, convenient and flexible to use.
Description
Technical field
The present invention relates to a kind of human body head finite element model.Particularly relate to a kind of real human body Human Head Model for deep magnetic stimulation study.
Background technology
Transcranial magnetic stimulation technology (TMS) is nearly two, emerging nerve stimulation technology in 30 years, with its painless noninvasive characteristic, easily mode of operation and the electrical safety characteristic higher with respect to electrical stimulation technology, deeply be subject to the field clinicians' such as brain science, Neuroscience Research person and cerebral nervous system disease, phrenoblabia, neurosis favor, be widely used in the physical treatment of the diseases such as depression, obsession, parkinsonism, epilepsy and posttraumatic stress disorder.
Human brain limbic system participates in the secretion of various neurotransmitters, is mainly responsible for regulating visceral motility, regulates sensory signal in central nervous system, affects or produces a feeling, affects sleep activity, participation in learning and Memory Activities etc.Limbic system and diencephalon structure progressively become the emphasis that researcher pays close attention in the researchs such as depression, obsession and parkinsonism and treatment.Act on the birth of a series of deeps magnetic stimulating coils such as the Hesed coil family of cerebral limbic system and diencephalon part, make transcranial magnetic stimulation technology (TMS) progressively replace brain deep brain stimulation (DBS), and then form painless noninvasive deep brain stimulation means.
The ultimate principle of transcranial magnetic stimulation is in stimulating coil, to pass to changing currents with time, make coil peripheral space produce alternating magnetic field, this magnetic field produces corresponding induction current in cranium brain tissue, when induction current exceedes neural stimulation threshold in this region at ad-hoc location, according to specific direction, can make neurocyte depolarization in this region, and then produce and bring out current potential, to realize nerve stimulation, and then realize diagnosis, treatment and the nervous function research of disease.
Due in process of experimental, in vivo induction current or the induction field of each cranium brain tissue need be implanted detecting electrode at encephalic in detection, and induction field or the induction current that only can detect cortex part distribute, the injury that human body is caused is very big, be difficult to realize, and do not meet the painless noninvasive aim of transcranial magnetic stimulation, therefore transcranial magnetic stimulation technical research is mainly that computer emulation and the imitative body of physics actual measurement are realized.But, in the real human body head model that correlative study person builds at present and the imitative body of actual measurement, there is not report for the structure of limbic system and diencephalon both at home and abroad.Limbic system is a complicated function system, and therefore process of reconstruction exists certain difficulty.And deep magnetic stimulating coil, the especially design of Hesed coil family, most naive model or spherical model approaching to reality head features of using.The morphological feature of limbic system, directly affects deep magnetic stimulation study mesocrany internal induction electromagnetic field and distributes, and then the accuracy and reliability of impact prediction result.
Summary of the invention
Technical matters to be solved by this invention is that a kind of real human body Human Head Model for deep magnetic stimulation study that can reflect that magnetic stimulates the true induction field producing in lower cranium brain to distribute is provided.
The technical solution adopted in the present invention is: a kind of real human body Human Head Model for deep magnetic stimulation study, to carry out according to cranium brain MRI or CT tomoscan picture the limit element artificial module that emulation obtains, by 3D visual software instrument, described cranium brain MRI or CT tomoscan picture are carried out to gray analysis and the definite gray threshold scope that can reflect specific cranium brain tissue boundary information of threshold selecting algorithm, choose described gray threshold scope by region growing algorithm or Magnetic Lasso algorithm or region growing algorithm and Magnetic Lasso algorithm, form the described illiteracy plate of determining cranium brain tissue boundary information of reflection, operating described illiteracy plate to choosing by manual modification modifies and makes described illiteracy plate approach true cranium brain tissue architectural feature, by 3D resurfacing algorithm, described illiteracy plate is rebuild to the 3D surface model that becomes the true cranium brain tissue architectural feature of reflection, by smooth algorithm or erosion algorithm or smooth algorithm with erosion algorithm makes described 3D surface model surface smoothing so that subsequent simulation operation, by finite element emulation software, described 3D surface model is redeveloped into 3D solid model, by Boolean calculation algorithm, the described 3D solid model of specific cranium brain tissue described in rebuild each is carried out to layering and assembling, formation has the complete real human body cranium brain structural model of hierarchy, particular organization's conductivity of choosing and relative dielectric constant information are given to the correspondence tissue of described real human body cranium brain structural model, by finite element mesh instrument, described real human body cranium brain structural model is carried out to finite element mesh, form the limit element artificial module that Reality simulation cranium brain organizes electrical characteristics to distribute, described limit element artificial module comprises scalp layer, be positioned at the limbic system structure of scalp layer inside, be positioned at the diencephalon structure that scalp layer is inner and surrounded by limbic system structure, described scalp layer, limbic system structure and diencephalon structure have respectively conductivity and the relative dielectric constant of real human body cranium brain tissue, described conductivity and relative dielectric constant can be chosen according to the actual requirements from NIREMF public data storehouse within the scope of the frequency range 10-100GHz of magnetic field, and give described limit element artificial module by finite element emulation software by described conductivity and relative dielectric constant numerical value, wherein, the conductivity of described scalp layer is 0.40225 × 10
-3～46.117S/m, relative dielectric constant is 7.2453～58340, and the conductivity of described limbic system structure and diencephalon structure is 0.027512～53.246S/m, and relative dielectric constant is 7.7561～40699000.
Described scalp layer, limbic system structure, diencephalon structure have can be for the 3D finite element grid model of electromagnetics finite element simulation computing, can carry out finite element mesh by finite element analysis software instrument, grid precision can regulate in described finite element analysis software.
Described scalp layer can reflect real human body craniofacial region feature, has the contour feature of eyelid, nose, ear, mouth, the cheek, neck clearly.
Described limbic system structural region comprises: the profile information of septal area, cingulate gyrus, gyrus of corpus callosum, parahippocampal gyrus, corpora mammillare, fornix, hippocampus and amygdaloid nucleus.
Described diencephalon structure comprises body of caudate nucleus structure and is positioned at the dorsal thalamus of body of caudate nucleus structure inner side.
A kind of real human body Human Head Model for deep magnetic stimulation study of the present invention, the morphosis of scalp, limbic system and diencephalon is with the real human body cranium brain tissue structure structure that is as the criterion, can reflect that magnetic stimulates the true induction field producing in lower cranium brain to distribute, and has improved precision and the reliability of simulation study greatly; The present invention only comprises limbic system and diencephalon architectural feature, computing is simplified and efficiently, be specifically designed to brain deep tissue electromagnetism physiological Study; Electrophysiological characteristics of the present invention can be chosen according to the actual requirements under field frequency 10-100GHz, easy to use, flexible.
Brief description of the drawings
Fig. 1 is one-piece construction schematic diagram of the present invention;
Fig. 2 is scalp structural representation of the present invention;
Fig. 3 is limbic system structural representation of the present invention;
Fig. 4 is diencephalon structural representation.
In figure
1: scalp layer 2: limbic system structure
3: diencephalon structure 4: septal area
5: cingulate gyrus 6: gyrus of corpus callosum
7: parahippocampal gyrus 8: corpora mammillare
9: fornix 10: hippocampus
11: amygdaloid nucleus 12: dorsal thalamus
13: body of caudate nucleus structure 14: eyelid
15: nose 16: ear
17: mouth 18: neck
19: the cheek
Embodiment
Below in conjunction with embodiment and accompanying drawing, a kind of real human body Human Head Model for deep magnetic stimulation study of the present invention is described in detail.
A kind of real human body Human Head Model for deep magnetic stimulation study of the present invention is to carry out according to cranium brain MRI or CT tomoscan picture the limit element artificial module that emulation obtains.With .dicom, .bmp form or .raw form import in 3D visual software, as MIMICS, AMIRA, 3D Slicer, Brainsuite etc., by 3D visual software instrument, described cranium brain MRI or CT tomoscan picture are carried out to gray analysis and the definite gray threshold scope that can reflect specific cranium brain tissue boundary information of threshold selecting algorithm, choose described gray threshold scope by region growing algorithm or Magnetic Lasso algorithm or region growing algorithm and Magnetic Lasso algorithm, form the described illiteracy plate of determining cranium brain tissue boundary information of reflection, operating described illiteracy plate to choosing by manual modification modifies and makes described illiteracy plate approach true cranium brain tissue architectural feature, by 3D resurfacing algorithm, described illiteracy plate is rebuild to the 3D surface model that becomes the true cranium brain tissue architectural feature of reflection, by smooth algorithm or erosion algorithm or smooth algorithm with erosion algorithm makes described 3D surface model surface smoothing so that subsequent simulation operation, by finite element emulation software as ANSYS, COMSOL etc., described 3D surface model is redeveloped into 3D solid model, by Boolean calculation algorithm, the described 3D solid model of specific cranium brain tissue described in rebuild each is carried out to layering and assembling, formation has the complete real human body cranium brain structural model of hierarchy, particular organization's conductivity of choosing and relative dielectric constant information are given to the correspondence tissue of described real human body cranium brain structural model, by finite element mesh instrument, described real human body cranium brain structural model is carried out to finite element mesh, form the limit element artificial module that Reality simulation cranium brain organizes electrical characteristics to distribute.
As shown in Figure 1, described limit element artificial module comprises scalp layer 1, be positioned at the limbic system structure 2 of scalp layer 1 inside, be positioned at the diencephalon structure 3 that scalp layer 1 is inner and surrounded by limbic system structure 2, described scalp layer 1, limbic system structure 2 and diencephalon structure 3 have respectively conductivity and the relative dielectric constant of real human body cranium brain tissue, described conductivity and relative dielectric constant can be chosen according to the actual requirements from NIREMF public data storehouse within the scope of the frequency range 10-100GHz of magnetic field, and give described limit element artificial module by finite element emulation software by described conductivity and relative dielectric constant numerical value, wherein, the conductivity of described scalp layer 1 is 0.40225 × 10
-3～46.117S/m, relative dielectric constant is 7.2453～58340, and the conductivity of described limbic system structure 2 and diencephalon structure 3 is 0.027512～53.246S/m, and relative dielectric constant is 7.7561～40699000.
Described scalp layer 1, limbic system structure 2, diencephalon structure 3 have can be for the 3D finite element grid model of electromagnetics finite element simulation computing, can carry out finite element mesh by finite element analysis software instrument, grid precision can regulate in described finite element analysis software.
As shown in Figure 2, described scalp layer 1 can reflect real human body craniofacial region feature, has the contour feature of eyelid 14, nose 15, ear 16, mouth 17, the cheek 19, neck 18 clearly.
As shown in Figure 3, described limbic system structure 2 regions comprise: the profile information of septal area 4, cingulate gyrus 5, gyrus of corpus callosum 6, parahippocampal gyrus 7, corpora mammillare 8, fornix 9, hippocampus 10 and amygdaloid nucleus 11.
As shown in Figure 4, described diencephalon structure 3 comprises body of caudate nucleus structure 13 and the dorsal thalamus 12 that is positioned at body of caudate nucleus structure 13 inner sides.
The implementation method of a kind of real human body Human Head Model for deep magnetic stimulation study of the present invention is as follows:
The first step: by cranium brain MRI or CT tomoscan picture, import in 3D visual software with .dicom .bmp form or .raw form, as MIMICS, AMIRA, 3D Slicer, Brainsuite etc., correct cortex, limbic system structure, diencephalon structure, carry out Boundary Extraction, related algorithm comprises that gray analysis, threshold value are chosen, region growing, Magnetic Lasso, smooth, corrosion and corresponding manual modification;
Second step: extracted described institutional framework is carried out to the reconstruction of 3D surface model, and optimize accordingly according to tri patch number and the shape of computing demand effects on surface model;
The 3rd step: above-mentioned 3D surface model is imported to finite element analysis software, as ANSYS, COMSOL etc., carry out the reconstruction of 3D solid model;
The 4th step: the above-mentioned 3D solid model to each cranium brain tissue structure carries out boolean operation, realizes layering and the assembling of cranium brain structural model;
The 5th step: choose specific electrical characteristic parameter, comprise conductivity and relative dielectric constant, give respectively corresponding cranium brain tissue structure, generate electrical characteristics distributed model;
The 6th step: the above-mentioned electrical characteristics distributed model of respectively organizing is carried out to finite element mesh, generate limit element artificial module, mesh refinement can be carried out in limbic system and diencephalon region, to improve operational precision.
Claims (5)
1. the real human body Human Head Model for deep magnetic stimulation study, to carry out according to cranium brain MRI or CT tomoscan picture the limit element artificial module that emulation obtains, it is characterized in that, by 3D visual software instrument, described cranium brain MRI or CT tomoscan picture are carried out to gray analysis and the definite gray threshold scope that can reflect specific cranium brain tissue boundary information of threshold selecting algorithm, choose described gray threshold scope by region growing algorithm or Magnetic Lasso algorithm or region growing algorithm and Magnetic Lasso algorithm, form the described illiteracy plate of determining cranium brain tissue boundary information of reflection, operating described illiteracy plate to choosing by manual modification modifies and makes described illiteracy plate approach true cranium brain tissue architectural feature, by 3D resurfacing algorithm, described illiteracy plate is rebuild to the 3D surface model that becomes the true cranium brain tissue architectural feature of reflection, by smooth algorithm or erosion algorithm or smooth algorithm with erosion algorithm makes described 3D surface model surface smoothing so that subsequent simulation operation, by finite element emulation software, described 3D surface model is redeveloped into 3D solid model, by Boolean calculation algorithm, the described 3D solid model of specific cranium brain tissue described in rebuild each is carried out to layering and assembling, formation has the complete real human body cranium brain structural model of hierarchy, particular organization's conductivity of choosing and relative dielectric constant information are given to the correspondence tissue of described real human body cranium brain structural model, by finite element mesh instrument, described real human body cranium brain structural model is carried out to finite element mesh, form the limit element artificial module that Reality simulation cranium brain organizes electrical characteristics to distribute, described limit element artificial module comprises scalp layer (1), be positioned at the inner limbic system structure (2) of scalp layer (1), be positioned at scalp layer (1) diencephalon structure (3) inner and that surrounded by limbic system structure (2), described scalp layer (1), limbic system structure (2) and diencephalon structure (3) have respectively conductivity and the relative dielectric constant of real human body cranium brain tissue, described conductivity and relative dielectric constant can be chosen according to the actual requirements from NIREMF public data storehouse within the scope of the frequency range 10-100GHz of magnetic field, and give described limit element artificial module by finite element emulation software by described conductivity and relative dielectric constant numerical value, wherein, the conductivity of described scalp layer (1) is 0.40225 × 10
-3～46.117S/m, relative dielectric constant is 7.2453～58340, and the conductivity of described limbic system structure (2) and diencephalon structure (3) is 0.027512～53.246S/m, and relative dielectric constant is 7.7561～40699000.
2. a kind of real human body Human Head Model for deep magnetic stimulation study according to claim 1, it is characterized in that, described scalp layer (1), limbic system structure (2), diencephalon structure (3) have can be for the 3D finite element grid model of electromagnetics finite element simulation computing, can carry out finite element mesh by finite element analysis software instrument, grid precision can regulate in described finite element analysis software.
3. a kind of real human body Human Head Model for deep magnetic stimulation study according to claim 1 and 2, it is characterized in that, described scalp layer (1) can reflect real human body craniofacial region feature, has the contour feature of eyelid (14), nose (15), ear (16), mouthful (17), the cheek (19), neck (18) clearly.
4. a kind of real human body Human Head Model for deep magnetic stimulation study according to claim 1 and 2, it is characterized in that, described limbic system structure (2) region comprises: the profile information of septal area (4), cingulate gyrus (5), gyrus of corpus callosum (6), parahippocampal gyrus (7), corpora mammillare (8), fornix (9), hippocampus (10) and amygdaloid nucleus (11).
5. a kind of real human body Human Head Model for deep magnetic stimulation study according to claim 1 and 2, it is characterized in that, described diencephalon structure (3) comprises body of caudate nucleus structure (13) and is positioned at the dorsal thalamus (12) of body of caudate nucleus structure (13) inner side.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410347061.5A CN104063565A (en) | 2014-07-21 | 2014-07-21 | Real human body head finite element model for deep magnetic stimulation study |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410347061.5A CN104063565A (en) | 2014-07-21 | 2014-07-21 | Real human body head finite element model for deep magnetic stimulation study |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104063565A true CN104063565A (en) | 2014-09-24 |
Family
ID=51551277
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410347061.5A Pending CN104063565A (en) | 2014-07-21 | 2014-07-21 | Real human body head finite element model for deep magnetic stimulation study |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104063565A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104524695A (en) * | 2014-12-29 | 2015-04-22 | 中国医学科学院生物医学工程研究所 | Zooming method for standard head establishment based on head thickness measurement |
| CN108348761A (en) * | 2015-10-28 | 2018-07-31 | 兹夫·波姆森 | TTFIELD treatments with the electrode position optimization on head based on MRI base conductivity measurement results |
| CN110167438A (en) * | 2017-01-12 | 2019-08-23 | 纳维斯国际有限公司 | System and method for internal electric reading to be reconstructed into anatomical structure |
| CN110491518A (en) * | 2019-07-31 | 2019-11-22 | 中国医学科学院生物医学工程研究所 | A kind of transcranial magnetic stimulation modeling and simulating method for task state |
| CN112022097A (en) * | 2020-09-09 | 2020-12-04 | 天津工业大学 | Head belt type heteroplasmon monitoring equipment and head heteroplasmon monitoring method and system |
| CN115721861A (en) * | 2022-12-06 | 2023-03-03 | 北京理工大学 | Multi-level neuron transcranial magnetic stimulation method oriented to brain atlas |
| CN115880438A (en) * | 2023-01-06 | 2023-03-31 | 中国民航大学 | Head model construction method and system, electronic device and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101596341A (en) * | 2009-07-10 | 2009-12-09 | 梅州康立高科技有限公司 | A kind of ultra-low frequency transcranial magnetic stimulation device and preparation method thereof |
| US20140200388A1 (en) * | 2011-07-18 | 2014-07-17 | M. Bret Schneider | Concurrent stimulation of deep and superficial brain regions |
-
2014
- 2014-07-21 CN CN201410347061.5A patent/CN104063565A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101596341A (en) * | 2009-07-10 | 2009-12-09 | 梅州康立高科技有限公司 | A kind of ultra-low frequency transcranial magnetic stimulation device and preparation method thereof |
| US20140200388A1 (en) * | 2011-07-18 | 2014-07-17 | M. Bret Schneider | Concurrent stimulation of deep and superficial brain regions |
Non-Patent Citations (7)
| Title |
|---|
| CHEN ZHAO等: "Establishment and Simulation of Real Human Head Conductivity Finite Element Model", 《MEDICAL IMAGING PHYSICS AND ENGINEERING,2013 IEEE INTERNATIONAL CONFERENCE》 * |
| DMITRY LAZUTKIN等: "Modeling of Electromagnetic Stimulation of the Human Brain", 《2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY》 * |
| SHUO YANG等: "3D Realistic Head Model Simulation Based on Transcranial Magnetic Stimulation", 《EMBS 06.28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE》 * |
| 宋涛等: "《生物电磁特性及其应用》", 31 August 2008 * |
| 赵琛: "磁刺激颅内感应电场分布及能量分布仿真与线圈优化研究", 《中国优秀硕士学位论文全文数据库 医药卫生科技辑》 * |
| 赵琛等: "八字线圈激励下五层球头模型感应电场能量的分布", 《中国生物医学工程学报》 * |
| 陈怡美: "TMS应用中基于医学图像的真实头有限元模型建立方法的研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104524695A (en) * | 2014-12-29 | 2015-04-22 | 中国医学科学院生物医学工程研究所 | Zooming method for standard head establishment based on head thickness measurement |
| CN108348761A (en) * | 2015-10-28 | 2018-07-31 | 兹夫·波姆森 | TTFIELD treatments with the electrode position optimization on head based on MRI base conductivity measurement results |
| US11642514B2 (en) | 2015-10-28 | 2023-05-09 | Novocure Gmbh | Optimizing positions of electrodes for applying tumor treating fields (TTFields) by adding a dipole to a 3D model |
| CN110167438A (en) * | 2017-01-12 | 2019-08-23 | 纳维斯国际有限公司 | System and method for internal electric reading to be reconstructed into anatomical structure |
| CN110167438B (en) * | 2017-01-12 | 2022-04-08 | 纳维斯国际有限公司 | System and method for reconstructing in vivo electrical readings into anatomical structures |
| CN110491518A (en) * | 2019-07-31 | 2019-11-22 | 中国医学科学院生物医学工程研究所 | A kind of transcranial magnetic stimulation modeling and simulating method for task state |
| CN110491518B (en) * | 2019-07-31 | 2023-04-07 | 中国医学科学院生物医学工程研究所 | Transcranial magnetic stimulation modeling simulation method for task state |
| CN112022097A (en) * | 2020-09-09 | 2020-12-04 | 天津工业大学 | Head belt type heteroplasmon monitoring equipment and head heteroplasmon monitoring method and system |
| CN115721861A (en) * | 2022-12-06 | 2023-03-03 | 北京理工大学 | Multi-level neuron transcranial magnetic stimulation method oriented to brain atlas |
| CN115721861B (en) * | 2022-12-06 | 2024-01-23 | 北京理工大学 | Brain-map-oriented multi-level neuron transcranial magnetic stimulation method |
| CN115880438A (en) * | 2023-01-06 | 2023-03-31 | 中国民航大学 | Head model construction method and system, electronic device and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104063565A (en) | Real human body head finite element model for deep magnetic stimulation study | |
| CN104123416A (en) | Finite element simulation model for simulating real human brain electrical characteristic distribution | |
| Rampersad et al. | Simulating transcranial direct current stimulation with a detailed anisotropic human head model | |
| CN102814001B (en) | Cerebral magnetic stimulation navigation system and cerebral magnetic stimulation coil positioning method | |
| Csifcsák et al. | Effects of transcranial direct current stimulation for treating depression: A modeling study | |
| Howell et al. | Role of soft-tissue heterogeneity in computational models of deep brain stimulation | |
| CN108348761A (en) | TTFIELD treatments with the electrode position optimization on head based on MRI base conductivity measurement results | |
| CN105980009B (en) | Intracerebral current analog method and device thereof and transcranial magnetic stimulation system comprising intracerebral current analog device | |
| Nunez et al. | Electric fields of the brain: the neurophysics of EEG | |
| Shahid et al. | The value and cost of complexity in predictive modelling: role of tissue anisotropic conductivity and fibre tracts in neuromodulation | |
| Seo et al. | Relation between the electric field and activation of cortical neurons in transcranial electrical stimulation | |
| WO2013192582A1 (en) | Device and methods for noninvasive neuromodulation using targeted transcrannial electrical stimulation | |
| Seo et al. | Multi-scale computational models for electrical brain stimulation | |
| CN104096316B (en) | A kind of H type coil optimization method for brain deep transcranial magnetic stimulation | |
| Salkim et al. | Impact of neuroanatomical variations and electrode orientation on stimulus current in a device for migraine: A computational study | |
| Seo et al. | Computational study of subdural cortical stimulation: effects of simulating anisotropic conductivity on activation of cortical neurons | |
| Cubo et al. | Model-based optimization of individualized deep brain stimulation therapy | |
| Hyde et al. | Evaluation of numerical techniques for solving the current injection problem in biological tissues | |
| Sun et al. | Multi-layer skull modeling and importance for tDCS simulation | |
| Cendejas Zaragoza et al. | Pre-implant modeling of depth lead placement in white matter for maximizing the extent of cortical activation during direct neurostimulation therapy | |
| Seo et al. | Computational exploration of epidural cortical stimulation using a realistic head model | |
| Miranda et al. | Optimizing electric-field delivery for tdcs: Virtual humans help to design efficient, noninvasive brain and spinal cord electrical stimulation | |
| CN115836839A (en) | Positioning system of individual nerve regulation target point | |
| Truong et al. | Computer-based models of tDCS and tACS | |
| Samani et al. | Consideration of Individual Brain Geometry and Anisotropy on the Effect of tDCS. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20140924 |