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Τύπος: Κεφάλαιο σε πρακτικά συνεδρίου
Τίτλος: The impact of brain anatomy on TMS-induced e-field distribution
Εναλλακτικός τίτλος: -
Συγγραφέας: [EL] Τζηρίνη, Μαριέττα[EN] Tzirini, Mariettasemantics logo
[EL] Χατζηκυριάκου, Ευαγγελία[EN] Chatzikyriakou, Evangeliasemantics logo
[EL] Κούσκουρας, Κωνσταντίνος[EN] Kouskouras, Konstantinossemantics logo
[EL] Φόρογλου, Νικόλαος[EN] Foroglou, Nikolaossemantics logo
[EL] Σαμαράς, Θεόδωρος[EN] Samaras, Theodorossemantics logo
[EL] Κιμισκίδης, Βασίλειος[EN] Kimiskidis, Vasiliossemantics logo
Ημερομηνία: 30/07/2022
Περίληψη: Transcranial magnetic stimulation (TMS) is a non-invasive brain stimulation technique [1] that is being increasingly employed for diagnostic and therapeutic purposes in multiple neuropsychiatric conditions [2]. In order to predict or interpret biological outcomes of clinical TMS interventions, the method is often combined with electric field (EF) modeling [3], i.e. the numerical calculation of the induced EF distribution in the brain, usually computed on the subject’s head model. The main objective of the present study was to investigate the impact of anatomy on brain stimulation during TMS, on healthy male and female adults. The human anatomy can affect the EF distribution, and subsequently influence the outcome of TMS, in two separate ways, i.e. due to individual morphometric characteristics, such as the shape and size of brain, or due to the tissue distribution inside the head. To disentangle these two factors, we examined the EFs, induced by an H7 Hesed coil (Brainsway Ltd., Israel) [4], on anatomical and homogeneous head models of nineteen volunteers (7 males, 12 females). The former were generated through an automatic segmentation process by the headreco tool of the SimNIBS software package (SimNIBS Developers. SimNIBS 3.2.4), using the participants’ MRI data, after obtaining informed consent. The corresponding homogeneous models were then created from the anatomical ones, by assigning to all their tissues the electrical conductivity of saline. All head models were stimulated by the H7 coil placed over the frontal lobes, in the Sim4Life environment (ZMT Zurich MedTech. Sim4Life), employing the platform’s magnetic quasi-static solver, and assuming a current with an amplitude of 3.18 kA and a frequency of 3.5 kHz. The numerically calculated EFs were compared, in terms of maximum value (Emax), considering the 99th percentile of distribution as Emax to avoid numerical artefacts, and half-value volume (V1/2), i.e. the volume of brain where the EF was greater than the half of its Emax, among different groups. Analysis showed that the maximum EF on the male sample was around 187.3 ± 7.9 V/m for the anatomical versions and around 133.2 ± 6.5 V/m for their homogeneous duplicates, while the corresponding half-value volumes were 56.5 ± 10.0 cm3 versus 102.5 ± 12.4 cm3 . Regarding the female sample, the EF distributions on anatomical models showed maximum values around 192.3 ± 13.4 V/m versus 135.9 ± 9.6 V/m for the homogeneous ones, while the half-value volumes ranged around 57.4 ± 7.2 cm3 against 104.6 ± 19.2 cm3 , respectively. Results showed higher values and dispersion for the Emax metric on anatomical models of both samples, while the standard deviation for the homogeneous female group was more than two times higher than the one for the anatomical female group. As expected, the half-value volumes were higher for the homogeneous models. Comparisons among subjects’ distributions in every group, even for the homogeneous versions, imply that anatomical features may affect the stimulation outcome.
Γλώσσα: Αγγλικά
Τόπος δημοσίευσης: Prague, Czech Republic
Σελίδες: 1
DOI: 10.11159/icbes22.131
ISBN: 978-1-990800-09-2
Θεματική κατηγορία: [EL] Νευροεπιστήμες[EN] Neurosciencessemantics logo
[EL] Εφαρμοσμένη φυσική[EN] Applied Physicssemantics logo
Κάτοχος πνευματικών δικαιωμάτων: © The Author(s) 2022
Διατίθεται ανοιχτά στην τοποθεσία: https://www.researchgate.net/publication/362916424_The_Impact_of_Brain_Anatomy_on_TMS-Induced_E-Field_Distribution
Ηλεκτρονική διεύθυνση του τεκμηρίου στον εκδότη: https://avestia.com/EECSS2022_Proceedings/files/paper/ICBES/ICBES_131.pdf
Ηλεκτρονική διεύθυνση περιοδικού: https://avestia.com/EECSS2022_Proceedings/
Τίτλος πηγής δημοσίευσης: Proceedings of the 8th World Congress on Electrical Engineering and Computer Systems and Science (EECSS’22)
Όνομα εκδήλωσης: 8th World Congress on Electrical Engineering and Computer Systems and Science (EECSS'22)
Τοποθεσία εκδήλωσης: Prague, Czech Republic
Ημ/νία έναρξης εκδήλωσης: 28/07/2022
Ημ/νία λήξης εκδήλωσης: 30/07/2022
Σημειώσεις: This research was co-financed by Greece and the European Union (European Social Fund-ESF) through the Operational Programme ‘Human Resources Development, Education and Lifelong Learning 2014–20200 in the context of the project ‘Mapping of the human primary motor cortex (M1) with navigated Transcranial Magnetic Stimulation (navigated TMS, n TMS): method optimization with advanced neurophysiological and computational techniques’ (MIS 5047847).
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