Publication:
TMS intensity and focality correlation with coil orientation at three non-motor regions.

dc.contributor.authorGomez-Feria, Jose
dc.contributor.authorFernandez-Corazza, Mariano
dc.contributor.authorMartin-Rodriguez, Juan F
dc.contributor.authorMir, Pablo
dc.date.accessioned2023-05-03T13:27:07Z
dc.date.available2023-05-03T13:27:07Z
dc.date.issued2022-02-21
dc.description.abstractObjective. The aim of this study is to define the best coil orientations for transcranial magnetic stimulation (TMS) for three clinically relevant brain areas: pre-supplementary motor area (pre-SMA), inferior frontal gyrus (IFG), and posterior parietal cortex (PPC), by means of simulations in 12 realistic head models of the electric field (E-field).Methods. We computed the E-field generated by TMS in our three volumes of interest (VOI) that were delineated based on published atlases. We then analysed the maximum intensity and spatial focality for the normal and absolute components of the E-field considering different percentile thresholds. Lastly, we correlated these results with the different anatomical properties of our VOIs.Results. Overall, the spatial focality of the E-field for the three VOIs varied depending on the orientation of the coil. Further analysis showed that differences in individual brain anatomy were related to the amount of focality achieved. In general, a larger percentage of sulcus resulted in better spatial focality. Additionally, a higher normal E-field intensity was achieved when the coil axis was placed perpendicular to the predominant orientations of the gyri of each VOI. A positive correlation between spatial focality and E-field intensity was found for PPC and IFG but not for pre-SMA.Conclusions. For a rough approximation, better coil orientations can be based on the individual's specific brain morphology at the VOI. Moreover, TMS computational models should be employed to obtain better coil orientations in non-motor regions of interest.Significance. Finding better coil orientations in non-motor regions is a challenge in TMS and seeks to reduce interindividual variability. Our individualized TMS simulation pipeline leads to fewer inter-individual variability in the focality, likely enhancing the efficacy of the stimulation and reducing the risk of stimulating adjacent, non-targeted areas.
dc.identifier.doi10.1088/1361-6560/ac4ef9
dc.identifier.essn1361-6560
dc.identifier.pmid35081513
dc.identifier.unpaywallURLhttps://figshare.com/ndownloader/files/28894662/1
dc.identifier.urihttp://hdl.handle.net/10668/19701
dc.issue.number5
dc.journal.titlePhysics in medicine and biology
dc.journal.titleabbreviationPhys Med Biol
dc.language.isoen
dc.organizationHospital Universitario Virgen del Rocío
dc.organizationInstituto de Biomedicina de Sevilla-IBIS
dc.pubmedtypeJournal Article
dc.pubmedtypeResearch Support, Non-U.S. Gov't
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectbrain stimulation
dc.subjectcoil orientation
dc.subjectcomputer simulation
dc.subjectfinite element analysis
dc.subjectpatient-specific modeling
dc.subjecttranscranial magnetic stimulation (TMS)
dc.subject.meshBrain
dc.subject.meshComputer Simulation
dc.subject.meshHead
dc.subject.meshMotor Cortex
dc.subject.meshTranscranial Magnetic Stimulation
dc.titleTMS intensity and focality correlation with coil orientation at three non-motor regions.
dc.typeresearch article
dc.type.hasVersionSMUR
dc.volume.number67
dspace.entity.typePublication

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