Individual anatomical connectivity visualization and improved field predictions in neuronavigation for TMS

Publication: Research - peer-reviewJournal article – Annual report year: 2012

Without internal affiliation

  • Author: Thielscher, A.

    Unknown

  • Author: Matthäus, L.

  • Author: Zanow, F.

  • Author: Knösche, T.

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The optimal application of TMS is still severely hampered by technical restrictions of current neuronavigation systems. Firstly, studies combining TMS with functional neuroimaging increasingly demonstrate that TMS affects networks rather than isolated regions. These network effects might contribute to the observed behavioural or peripheral electrophysiological stimulation effects. However, neuronavigation systems only visualize the directly stimulated area
underneath coil rather than networks. Secondly, recent modelling studies demonstrated that field estimates based on realistic head models differ markedly from those obtained with simplified spherical head models. Notably, when considering figure-8 coils, the field peak can be shifted away from a position directly underneath the coil centre (as currently visualized by neuronavigation systems). We present a cooperative development effort that aims at enabling
future neuronavigation systems to take the factors ‘connectivity’ and ‘realistic field shape’ into account during online visualization. The overarching goal is to increase the specificity and reproducibility of stimulation effects both on the intra- and interindividual level. Diffusion-weighted magnetic resonance imaging (DWI) can be used to estimate in-vivo the individual anatomical connectivity in patients and healthy subjects. We will highlight advanced schemes
for the connectivity estimation based on probabilistic orientation distribution functions [1]. In addition, we will present novel techniques to visualize the resulting connectivity estimates in real-time. Second, we will give an overview over the state-of-the-art in field calculations for TMS based on finite-element methods and discuss concepts to incorporate the knowledge gained with these realistic but time-consuming methods into the online visualization of euronavigation systems [2]. Both techniques in combination will allow for a more accurate selection of the desired target region and will for the first time allow the optimal targeting of an area based on its connectivity profile.
Original languageFrench
JournalNeurophysiologie Clinique
Publication date2012
Volume42
Issue1-2
Pages60-61
ISSN0987-7053
DOIs
StatePublished
CitationsWeb of Science® Times Cited: No match on DOI
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