Zhen Qi , Gregory M. Noetscher , Alton Miles , Konstantin Weise , Thomas R. Knösche , Cameron R. Cadman , Alina R. Potashinsky , Kelu Liu , William A. Wartman , Guillermo Nunez Ponasso , Marom Bikson , Hanbing Lu , Zhi-De Deng , Aapo R. Nummenmaa , Sergey N. Makaroff
{"title":"使能电场模型的微观逼真的大脑。","authors":"Zhen Qi , Gregory M. Noetscher , Alton Miles , Konstantin Weise , Thomas R. Knösche , Cameron R. Cadman , Alina R. Potashinsky , Kelu Liu , William A. Wartman , Guillermo Nunez Ponasso , Marom Bikson , Hanbing Lu , Zhi-De Deng , Aapo R. Nummenmaa , Sergey N. Makaroff","doi":"10.1016/j.brs.2024.12.1192","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Modeling brain stimulation at the microscopic scale may reveal new paradigms for various stimulation modalities.</div></div><div><h3>Objective</h3><div>We present the largest map to date of extracellular electric field distributions within a layer L2/L3 mouse primary visual cortex brain sample. This was enabled by the automated analysis of serial section electron microscopy images with improved handling of image defects, covering a volume of 250 × 140 × 90 μm³.</div></div><div><h3>Methods</h3><div>The map was obtained by applying a uniform brain stimulation electric field at three different polarizations and accurately computing microscopic field perturbations using the boundary element fast multipole method. We used the map to identify the effect of microscopic field perturbations on the activation thresholds of individual neurons. Previous relevant studies modeled a macroscopically homogeneous cortical volume.</div></div><div><h3>Result</h3><div>Our result shows that the microscopic field perturbations – an ‘electric field spatial noise’ with a mean value of zero – only modestly influence the macroscopically predicted stimulation field strengths necessary for neuronal activation. The thresholds do not change by more than 10 % on average.</div></div><div><h3>Conclusion</h3><div>Under the stated limitations and assumptions of our method, this result essentially justifies the conventional theory of \"invisible\" neurons embedded in a macroscopic brain model for transcranial magnetic and transcranial electrical stimulation. However, our result is solely sample-specific and is only relevant to this relatively small sample with 396 neurons. It largely neglects the effect of the microcapillary network. Furthermore, we only considered the uniform impressed field and a single-pulse stimulation time course.</div></div>","PeriodicalId":9206,"journal":{"name":"Brain Stimulation","volume":"18 1","pages":"Pages 77-93"},"PeriodicalIF":7.6000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enabling electric field model of microscopically realistic brain\",\"authors\":\"Zhen Qi , Gregory M. Noetscher , Alton Miles , Konstantin Weise , Thomas R. Knösche , Cameron R. Cadman , Alina R. Potashinsky , Kelu Liu , William A. Wartman , Guillermo Nunez Ponasso , Marom Bikson , Hanbing Lu , Zhi-De Deng , Aapo R. Nummenmaa , Sergey N. Makaroff\",\"doi\":\"10.1016/j.brs.2024.12.1192\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Modeling brain stimulation at the microscopic scale may reveal new paradigms for various stimulation modalities.</div></div><div><h3>Objective</h3><div>We present the largest map to date of extracellular electric field distributions within a layer L2/L3 mouse primary visual cortex brain sample. This was enabled by the automated analysis of serial section electron microscopy images with improved handling of image defects, covering a volume of 250 × 140 × 90 μm³.</div></div><div><h3>Methods</h3><div>The map was obtained by applying a uniform brain stimulation electric field at three different polarizations and accurately computing microscopic field perturbations using the boundary element fast multipole method. We used the map to identify the effect of microscopic field perturbations on the activation thresholds of individual neurons. Previous relevant studies modeled a macroscopically homogeneous cortical volume.</div></div><div><h3>Result</h3><div>Our result shows that the microscopic field perturbations – an ‘electric field spatial noise’ with a mean value of zero – only modestly influence the macroscopically predicted stimulation field strengths necessary for neuronal activation. The thresholds do not change by more than 10 % on average.</div></div><div><h3>Conclusion</h3><div>Under the stated limitations and assumptions of our method, this result essentially justifies the conventional theory of \\\"invisible\\\" neurons embedded in a macroscopic brain model for transcranial magnetic and transcranial electrical stimulation. However, our result is solely sample-specific and is only relevant to this relatively small sample with 396 neurons. It largely neglects the effect of the microcapillary network. 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Enabling electric field model of microscopically realistic brain
Background
Modeling brain stimulation at the microscopic scale may reveal new paradigms for various stimulation modalities.
Objective
We present the largest map to date of extracellular electric field distributions within a layer L2/L3 mouse primary visual cortex brain sample. This was enabled by the automated analysis of serial section electron microscopy images with improved handling of image defects, covering a volume of 250 × 140 × 90 μm³.
Methods
The map was obtained by applying a uniform brain stimulation electric field at three different polarizations and accurately computing microscopic field perturbations using the boundary element fast multipole method. We used the map to identify the effect of microscopic field perturbations on the activation thresholds of individual neurons. Previous relevant studies modeled a macroscopically homogeneous cortical volume.
Result
Our result shows that the microscopic field perturbations – an ‘electric field spatial noise’ with a mean value of zero – only modestly influence the macroscopically predicted stimulation field strengths necessary for neuronal activation. The thresholds do not change by more than 10 % on average.
Conclusion
Under the stated limitations and assumptions of our method, this result essentially justifies the conventional theory of "invisible" neurons embedded in a macroscopic brain model for transcranial magnetic and transcranial electrical stimulation. However, our result is solely sample-specific and is only relevant to this relatively small sample with 396 neurons. It largely neglects the effect of the microcapillary network. Furthermore, we only considered the uniform impressed field and a single-pulse stimulation time course.
期刊介绍:
Brain Stimulation publishes on the entire field of brain stimulation, including noninvasive and invasive techniques and technologies that alter brain function through the use of electrical, magnetic, radiowave, or focally targeted pharmacologic stimulation.
Brain Stimulation aims to be the premier journal for publication of original research in the field of neuromodulation. The journal includes: a) Original articles; b) Short Communications; c) Invited and original reviews; d) Technology and methodological perspectives (reviews of new devices, description of new methods, etc.); and e) Letters to the Editor. Special issues of the journal will be considered based on scientific merit.