2021
DOI: 10.1088/1741-2552/ac1f2b
|View full text |Cite
|
Sign up to set email alerts
|

A probabilistic transcranial magnetic stimulation localization method

Abstract: Objective. Transcranial magnetic stimulation (TMS) can be used to safely and noninvasively activate brain tissue. However, the characteristic parameters of the neuronal activation have been largely unclear. In this work, we propose a novel neuronal activation model and develop a method to infer its parameters from measured motor evoked potential signals. Approach. The connection between neuronal activation due to an induced electric field and a measured motor threshold is modeled. The posterior distribution of… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
10
0
1

Year Published

2022
2022
2024
2024

Publication Types

Select...
4
2

Relationship

3
3

Authors

Journals

citations
Cited by 8 publications
(11 citation statements)
references
References 43 publications
0
10
0
1
Order By: Relevance
“…However, the location of the peak E-field is not necessarily the place where the maximal activation occurs. In practice, the locus of activation is determined by the combined effect of the E-field profile and the cytoarchitectonics and the excitability state of the stimulated neuronal population [60][61][62][63][64]. This may be taken into account in future navigation systems.…”
Section: E-field Errorsmentioning
confidence: 99%
“…However, the location of the peak E-field is not necessarily the place where the maximal activation occurs. In practice, the locus of activation is determined by the combined effect of the E-field profile and the cytoarchitectonics and the excitability state of the stimulated neuronal population [60][61][62][63][64]. This may be taken into account in future navigation systems.…”
Section: E-field Errorsmentioning
confidence: 99%
“…One limitation of the current study is that this method fails to properly consider the individual functional differences. As the cortical target location is derived from a group analysis on a template brain, it does not completely consider the individual variations of the cortical target location, which is demonstrated in Kataja et al (2021). These inter-individual differences can potentially explain the observed variations in the distances between the predicted and the measured hotspots.…”
Section: Discussionmentioning
confidence: 99%
“…Previous studies have used dosimetric models to develop methods for estimating the locations that TMS activates in the brain (Bungert et al 2017, Aonuma et al 2018, Weise et al 2020, Kataja et al 2021. These methods could potentially be used inversely to predetermine important factors such as hotspot location and MT prior to TMS.…”
Section: Introductionmentioning
confidence: 99%
“…This can significantly shorten the recording time, making measurement sessions more effective. Shortening the recording time is especially beneficial in studies where a large number of TMS pulses are used, such as novel computational–experimental techniques that have been developed for accurate localization of the activation sites of TMS (Bungert et al, 2017 ; Laakso et al, 2018 ; Weise et al, 2020 ; Kataja et al, 2021 ). These techniques rely on the computational analysis of the induced electric field and may require the application of more than a thousand TMS pulses.…”
Section: Discussionmentioning
confidence: 99%
“…However, the effect is reported only for resting muscles. For example, Bungert et al ( 2017 ), Laakso et al ( 2018 ) and Kataja et al ( 2021 ) used active muscle contraction in their studies. Furthermore, there is some indication that the IPI has no effect on responses evoked in active muscles (Möller et al, 2009 ).…”
Section: Introductionmentioning
confidence: 99%