Single-Subject TMS Pulse Visualization on MRI-Based Brain Model: A precise method for mapping TMS pulses on cortical surface

Highly accurate visualization of the points of transcranial magnetic stimulation (TMS) application on the brain cortical surface could provide anatomy-specific analysis of TMS effects. TMS is widely used to activate cortical areas with high spatial resolution, and neuronavigation enables site-specif...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	MethodsX Jg. 10; S. 102213
Hauptverfasser:	Syrov, Nikolay, Mustafina, Alfiia, Berkmush-Antipova, Artemiy, Yakovlev, Lev, Demchinsky, Andrey, Petrova, Daria, Kaplan, Alexander
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 01.01.2023 Elsevier
Schlagworte:	Blender brain computer software Motor-evoked potentials Navigated transcranial magnetic stimulation Neuronavigation Neuroscience Neurovisualization Phosphenes TMS TMS-affected Cortical points Visualization on MRI-based Brain Model. The software tool is implemented using the Python language and runs on the Blender software platform. It uses a subject-specific 3D model of the brain's cortical surface reconstructed from MRI data. The software marks the points of TMS application on the cortical surface transcranial magnetic stimulation Neurovisualization Neuronavigation Blender TMS-affected Cortical points Visualization on MRI-based Brain Model. The software tool is implemented using the Python language and runs on the Blender software platform. It uses a subject-specific 3D model of the brain's cortical surface reconstructed from MRI data. The software marks the points of TMS application on the cortical surface Navigated transcranial magnetic stimulation TMS Phosphenes Motor-evoked potentials
ISSN:	2215-0161, 2215-0161
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Abstract	Highly accurate visualization of the points of transcranial magnetic stimulation (TMS) application on the brain cortical surface could provide anatomy-specific analysis of TMS effects. TMS is widely used to activate cortical areas with high spatial resolution, and neuronavigation enables site-specific TMS of particular gyrus sites. Precise control of TMS application points is crucial in determining the stimulation effects. Here, we propose a method that gives an opportunity to visualize and analyze the stimulated cortical sites by processing multi-parameter data.•This method uses MRI data to create a participant's brain model for visualization. The MRI data is segmented to obtain a raw 3D model, which is further optimized in 3D modeling software.•A Python script running in Blender uses the TMS coil's orientation data and participant's brain 3D model to define and mark the cortical sites affected by the particular TMS pulse.•The Python script can be easily customized to visualize TMS points task-specifically. [Display omitted]
AbstractList	Highly accurate visualization of the points of transcranial magnetic stimulation (TMS) application on the brain cortical surface could provide anatomy-specific analysis of TMS effects. TMS is widely used to activate cortical areas with high spatial resolution, and neuronavigation enables site-specific TMS of particular gyrus sites. Precise control of TMS application points is crucial in determining the stimulation effects. Here, we propose a method that gives an opportunity to visualize and analyze the stimulated cortical sites by processing multi-parameter data.•This method uses MRI data to create a participant's brain model for visualization. The MRI data is segmented to obtain a raw 3D model, which is further optimized in 3D modeling software.•A Python script running in Blender uses the TMS coil's orientation data and participant's brain 3D model to define and mark the cortical sites affected by the particular TMS pulse.•The Python script can be easily customized to visualize TMS points task-specifically.Highly accurate visualization of the points of transcranial magnetic stimulation (TMS) application on the brain cortical surface could provide anatomy-specific analysis of TMS effects. TMS is widely used to activate cortical areas with high spatial resolution, and neuronavigation enables site-specific TMS of particular gyrus sites. Precise control of TMS application points is crucial in determining the stimulation effects. Here, we propose a method that gives an opportunity to visualize and analyze the stimulated cortical sites by processing multi-parameter data.•This method uses MRI data to create a participant's brain model for visualization. The MRI data is segmented to obtain a raw 3D model, which is further optimized in 3D modeling software.•A Python script running in Blender uses the TMS coil's orientation data and participant's brain 3D model to define and mark the cortical sites affected by the particular TMS pulse.•The Python script can be easily customized to visualize TMS points task-specifically. Highly accurate visualization of the points of transcranial magnetic stimulation (TMS) application on the brain cortical surface could provide anatomy-specific analysis of TMS effects. TMS is widely used to activate cortical areas with high spatial resolution, and neuronavigation enables site-specific TMS of particular gyrus sites. Precise control of TMS application points is crucial in determining the stimulation effects. Here, we propose a method that gives an opportunity to visualize and analyze the stimulated cortical sites by processing multi-parameter data. • This method uses MRI data to create a participant's brain model for visualization. The MRI data is segmented to obtain a raw 3D model, which is further optimized in 3D modeling software. • A Python script running in Blender uses the TMS coil's orientation data and participant's brain 3D model to define and mark the cortical sites affected by the particular TMS pulse. • The Python script can be easily customized to visualize TMS points task-specifically. Highly accurate visualization of the points of transcranial magnetic stimulation (TMS) application on the brain cortical surface could provide anatomy-specific analysis of TMS effects. TMS is widely used to activate cortical areas with high spatial resolution, and neuronavigation enables site-specific TMS of particular gyrus sites. Precise control of TMS application points is crucial in determining the stimulation effects. Here, we propose a method that gives an opportunity to visualize and analyze the stimulated cortical sites by processing multi-parameter data.•This method uses MRI data to create a participant's brain model for visualization. The MRI data is segmented to obtain a raw 3D model, which is further optimized in 3D modeling software.•A Python script running in Blender uses the TMS coil's orientation data and participant's brain 3D model to define and mark the cortical sites affected by the particular TMS pulse.•The Python script can be easily customized to visualize TMS points task-specifically. Image, graphical abstract Highly accurate visualization of the points of transcranial magnetic stimulation (TMS) application on the brain cortical surface could provide anatomy-specific analysis of TMS effects. TMS is widely used to activate cortical areas with high spatial resolution, and neuronavigation enables site-specific TMS of particular gyrus sites. Precise control of TMS application points is crucial in determining the stimulation effects. Here, we propose a method that gives an opportunity to visualize and analyze the stimulated cortical sites by processing multi-parameter data.•This method uses MRI data to create a participant's brain model for visualization. The MRI data is segmented to obtain a raw 3D model, which is further optimized in 3D modeling software.•A Python script running in Blender uses the TMS coil's orientation data and participant's brain 3D model to define and mark the cortical sites affected by the particular TMS pulse.•The Python script can be easily customized to visualize TMS points task-specifically. [Display omitted]
ArticleNumber	102213
Author	Yakovlev, Lev Syrov, Nikolay Petrova, Daria Kaplan, Alexander Mustafina, Alfiia Berkmush-Antipova, Artemiy Demchinsky, Andrey
Author_xml	– sequence: 1 givenname: Nikolay orcidid: 0000-0002-8253-9426 surname: Syrov fullname: Syrov, Nikolay email: kolascoco@gmail.com organization: Vladimir Zelman Center for Neurobiology and Brain Rehabilitation, Skolkovo Institute of Science and Technology, Moscow, Russia – sequence: 2 givenname: Alfiia surname: Mustafina fullname: Mustafina, Alfiia organization: Department of Invertebrate Zoology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia – sequence: 3 givenname: Artemiy surname: Berkmush-Antipova fullname: Berkmush-Antipova, Artemiy organization: Baltic Center Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, Kaliningrad, Russia – sequence: 4 givenname: Lev surname: Yakovlev fullname: Yakovlev, Lev organization: Vladimir Zelman Center for Neurobiology and Brain Rehabilitation, Skolkovo Institute of Science and Technology, Moscow, Russia – sequence: 5 givenname: Andrey surname: Demchinsky fullname: Demchinsky, Andrey organization: ANO Laboratory Sensor-Tech, Moscow, Russia – sequence: 6 givenname: Daria surname: Petrova fullname: Petrova, Daria organization: Vladimir Zelman Center for Neurobiology and Brain Rehabilitation, Skolkovo Institute of Science and Technology, Moscow, Russia – sequence: 7 givenname: Alexander surname: Kaplan fullname: Kaplan, Alexander organization: Vladimir Zelman Center for Neurobiology and Brain Rehabilitation, Skolkovo Institute of Science and Technology, Moscow, Russia
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/37292240$$D View this record in MEDLINE/PubMed
BookMark	eNqFkk1v1DAQhiNUREvpD-CCcuSSxV_Z2HBAbcXHSq1AbOFqOfZk61USBzupaMWPZ3a3VC2HIkVynHnfR5OZ93m214cesuwlJTNK6PzNetbBrxkjjOOdMcqfZAd4lAUW6d699_3sKKU1IYRywalgz7J9XjHFmCAH2e-l71ctFMupXoMd84vzZf51ahPkP3yaTOtvzOhDn-Nz_m1RnJgELj-JxuM9OGjf5sf5EMF6dHQwXgaXNyHmnRkGBG9xwwaXNgQb4uitafM0xcZYeJE9bQwWj27Pw-z7xw8Xp5-Lsy-fFqfHZ4UtSzoWUjJmJFQcrCmdMsopShVxjtXKVdJYqYQgihteNVLYEpQBaUipVC1ELWt-mC12XBfMWg_RdyZe62C83n4IcaXNprMWtKpULVXJZCPnQsy5kczVVYOD4xXOUiDr_Y41THUHzkI_RtM-gD6s9P5Sr8KVxiUhUHEkvL4lxPBzgjTqzicLbWt6CFPSnJZcCiUV_a-USYZIJiqC0lf3-7pr6O-qUUB3AhtDShGaOwklepMovdaYKL1JlN4lCj3VPx7rx20g8Nd8-6jz3c4JuNcrD1En66G34DymZcTB-0fcfwB9ouNQ
CitedBy_id	crossref_primary_10_1093_cercor_bhae356
Cites_doi	10.1016/j.clinph.2022.04.022 10.1016/B978-0-12-804281-6.00005-7 10.1007/s00213-002-1216-x 10.1016/j.neuroimage.2011.06.069 10.1016/j.neuroimage.2012.01.021 10.1016/S1385-299X(02)00189-7 10.21595/chs.2019.20724 10.1371/journal.pone.0133921 10.1016/S0925-4927(01)00121-4 10.1097/00004691-200208000-00006 10.1007/s00221-004-1992-0 10.1212/01.wnl.0000250268.13789.b2
ContentType	Journal Article
Copyright	2023 The Author(s) 2023 The Author(s). 2023 The Author(s) 2023
Copyright_xml	– notice: 2023 The Author(s) – notice: 2023 The Author(s). – notice: 2023 The Author(s) 2023
DBID	6I. AAFTH AAYXX CITATION NPM 7X8 7S9 L.6 5PM DOA
DOI	10.1016/j.mex.2023.102213
DatabaseName	ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access CrossRef PubMed MEDLINE - Academic AGRICOLA AGRICOLA - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals
DatabaseTitle	CrossRef PubMed MEDLINE - Academic AGRICOLA AGRICOLA - Academic
DatabaseTitleList	MEDLINE - Academic PubMed AGRICOLA
Database_xml	– sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Medicine
EISSN	2215-0161
ExternalDocumentID	oai_doaj_org_article_979b89528f864463a82db7f431371614 PMC10244693 37292240 10_1016_j_mex_2023_102213 S221501612300211X
Genre	Journal Article
GroupedDBID	0SF 4.4 457 53G 5VS 6I. AACTN AAEDT AAEDW AAFTH AAIKJ AALRI AAXUO ABMAC ACGFS ADBBV ADEZE ADRAZ AEXQZ AFTJW AGHFR AITUG ALMA_UNASSIGNED_HOLDINGS AMRAJ AOIJS BCNDV EBS EJD FDB GROUPED_DOAJ HYE IPNFZ IXB KQ8 M48 M~E NCXOZ OK1 RIG ROL RPM SSZ 0R~ AAFWJ AAHBH AAYWO AAYXX ACVFH ADCNI ADVLN AEUPX AFJKZ AFPKN AFPUW AIGII AKBMS AKRWK AKYEP APXCP CITATION NPM 7X8 7S9 L.6 5PM
ID	FETCH-LOGICAL-c551t-8822a8e73eca5d9a9d91190dd2b9d78ac8944093a37f84c5e9ae8a0599b44b8b3
IEDL.DBID	DOA
ISICitedReferencesCount	1
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001054176200001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	2215-0161
IngestDate	Fri Oct 03 12:48:06 EDT 2025 Tue Sep 30 17:13:16 EDT 2025 Fri Jul 11 14:26:27 EDT 2025 Thu Oct 02 03:25:44 EDT 2025 Thu Apr 03 07:05:29 EDT 2025 Thu Nov 13 04:32:20 EST 2025 Tue Nov 18 22:27:45 EST 2025 Sat Sep 09 15:41:35 EDT 2023
IsDoiOpenAccess	true
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Keywords	Neurovisualization Neuronavigation Blender TMS-affected Cortical points Visualization on MRI-based Brain Model. The software tool is implemented using the Python language and runs on the Blender software platform. It uses a subject-specific 3D model of the brain's cortical surface reconstructed from MRI data. The software marks the points of TMS application on the cortical surface Navigated transcranial magnetic stimulation TMS Phosphenes Motor-evoked potentials
Language	English
License	This is an open access article under the CC BY-NC-ND license. 2023 The Author(s). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c551t-8822a8e73eca5d9a9d91190dd2b9d78ac8944093a37f84c5e9ae8a0599b44b8b3
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ORCID	0000-0002-8253-9426
OpenAccessLink	https://doaj.org/article/979b89528f864463a82db7f431371614
PMID	37292240
PQID	2824692470
PQPubID	23479
ParticipantIDs	doaj_primary_oai_doaj_org_article_979b89528f864463a82db7f431371614 pubmedcentral_primary_oai_pubmedcentral_nih_gov_10244693 proquest_miscellaneous_3153849891 proquest_miscellaneous_2824692470 pubmed_primary_37292240 crossref_primary_10_1016_j_mex_2023_102213 crossref_citationtrail_10_1016_j_mex_2023_102213 elsevier_sciencedirect_doi_10_1016_j_mex_2023_102213
PublicationCentury	2000
PublicationDate	2023-01-01
PublicationDateYYYYMMDD	2023-01-01
PublicationDate_xml	– month: 01 year: 2023 text: 2023-01-01 day: 01
PublicationDecade	2020
PublicationPlace	Netherlands
PublicationPlace_xml	– name: Netherlands
PublicationTitle	MethodsX
PublicationTitleAlternate	MethodsX
PublicationYear	2023
Publisher	Elsevier B.V Elsevier
Publisher_xml	– name: Elsevier B.V – name: Elsevier
References	Kozak, Friedrich (bib0007) 2009 Bauer, Fejes, Reyes (bib0001) 2013; 2012 Rusjan, Barr, Farzan, Arenovich, Maller, Fitzgerald, Daskalakis (bib0011) 2010; 31 Zhang, Zhang, Pan, Chang (bib0015) 2019; 2 Kammer, Puls, Erb, Grodd (bib0006) 2005; 160 Siebner, Funke, Aberra, Antal, Bestmann, Chen, Ugawa (bib0012) 2022; 140 Terao, Ugawa (bib0014) 2002; 19 Herwig, Schönfeldt-Lecuona, Wunderlich, von Tiesenhausen, Thielscher, Walter, Spitzer (bib0005) 2001; 108 Rossini, Rossi (bib0010) 2007; 68 Fernandez, Alfaro, Tormos, Climent, Martınez, Vilanova, Pascual-Leone (bib0003) 2002; 10 Stucht, Danishad, Schulze, Godenschweger, Zaitsev, Speck (bib0013) 2015; 10 Fischl (bib0004) 2012; 62 Maeda, Pascual-Leone (bib0008) 2003; 168 Burke, Fried, Pascual-Leone (bib0002) 2019; 163 Opitz, Windhoff, Heidemann, Turner, Thielscher (bib0009) 2011; 58 Stucht (10.1016/j.mex.2023.102213_bib0013) 2015; 10 Burke (10.1016/j.mex.2023.102213_bib0002) 2019; 163 Zhang (10.1016/j.mex.2023.102213_bib0015) 2019; 2 Fischl (10.1016/j.mex.2023.102213_bib0004) 2012; 62 Terao (10.1016/j.mex.2023.102213_bib0014) 2002; 19 Fernandez (10.1016/j.mex.2023.102213_bib0003) 2002; 10 Siebner (10.1016/j.mex.2023.102213_bib0012) 2022; 140 Opitz (10.1016/j.mex.2023.102213_bib0009) 2011; 58 Bauer (10.1016/j.mex.2023.102213_bib0001) 2013; 2012 Kammer (10.1016/j.mex.2023.102213_bib0006) 2005; 160 Maeda (10.1016/j.mex.2023.102213_bib0008) 2003; 168 Herwig (10.1016/j.mex.2023.102213_bib0005) 2001; 108 Rusjan (10.1016/j.mex.2023.102213_bib0011) 2010; 31 Rossini (10.1016/j.mex.2023.102213_bib0010) 2007; 68 Kozak (10.1016/j.mex.2023.102213_bib0007) 2009
References_xml	– start-page: 7 year: 2009 end-page: 12 ident: bib0007 article-title: Quaternion: An Alternate Approach to Medical Navigation publication-title: World Congress on Medical Physics and Biomedical Engineering – volume: 140 start-page: 59 year: 2022 end-page: 97 ident: bib0012 article-title: Transcranial magnetic stimulation of the brain: What is stimulated? - a consensus and critical position paper publication-title: Clin. Neurophysiol. – volume: 2 start-page: 1 year: 2019 end-page: 12 ident: bib0015 article-title: Three-dimensional reconstruction of medical images based on 3D slicer publication-title: J. Complex. Health Sci. – volume: 19 start-page: 322 year: 2002 end-page: 343 ident: bib0014 article-title: Basic mechanisms of TMS publication-title: J. Clin. Neurophysiol. – volume: 58 start-page: 849 year: 2011 end-page: 859 ident: bib0009 article-title: How the brain tissue shapes the electric field induced by transcranial magnetic stimulation publication-title: Neuroimage – volume: 31 start-page: 1643 year: 2010 end-page: 1652 ident: bib0011 article-title: Optimal transcranial magnetic stimulation coil placement for targeting the dorsolateral prefrontal cortex using novel magnetic resonance image-guided neuronavigation publication-title: Hum. Brain Mapp. – volume: 10 year: 2015 ident: bib0013 article-title: Highest resolution in vivo human brain MRI using prospective motion correction publication-title: PLoS One – volume: 10 start-page: 115 year: 2002 end-page: 124 ident: bib0003 article-title: Mapping of the human visual cortex using image-guided transcranial magnetic stimulation publication-title: Brain Res. Protoc. – volume: 163 start-page: 73 year: 2019 end-page: 92 ident: bib0002 article-title: Transcranial magnetic stimulation: neurophysiological and clinical applications publication-title: Handb. Clin. Neurol. – volume: 108 start-page: 123 year: 2001 end-page: 131 ident: bib0005 article-title: The navigation of transcranial magnetic stimulation publication-title: Psychiatry Res. – volume: 68 start-page: 484 year: 2007 end-page: 488 ident: bib0010 article-title: Transcranial magnetic stimulation: diagnostic, therapeutic, and research potential publication-title: Neurology – volume: 160 start-page: 129 year: 2005 end-page: 140 ident: bib0006 article-title: Transcranial magnetic stimulation in the visual system. II. Characterization of induced phosphenes and scotomas. Characterization of induced phosphenes and scotomas publication-title: Exp. Brain Res. – volume: 2012 start-page: 70 year: 2013 end-page: 78 ident: bib0001 article-title: A skull-stripping filter for ITK publication-title: Insight J. – volume: 168 start-page: 359 year: 2003 end-page: 376 ident: bib0008 article-title: Transcranial magnetic stimulation: studying motor neurophysiology of psychiatric disorders publication-title: Psychopharmacology (Berl.) – volume: 62 start-page: 774 year: 2012 end-page: 781 ident: bib0004 article-title: FreeSurfer publication-title: Neuroimage – volume: 140 start-page: 59 year: 2022 ident: 10.1016/j.mex.2023.102213_bib0012 article-title: Transcranial magnetic stimulation of the brain: What is stimulated? - a consensus and critical position paper publication-title: Clin. Neurophysiol. doi: 10.1016/j.clinph.2022.04.022 – volume: 163 start-page: 73 year: 2019 ident: 10.1016/j.mex.2023.102213_bib0002 article-title: Transcranial magnetic stimulation: neurophysiological and clinical applications publication-title: Handb. Clin. Neurol. doi: 10.1016/B978-0-12-804281-6.00005-7 – volume: 168 start-page: 359 issue: 4 year: 2003 ident: 10.1016/j.mex.2023.102213_bib0008 article-title: Transcranial magnetic stimulation: studying motor neurophysiology of psychiatric disorders publication-title: Psychopharmacology (Berl.) doi: 10.1007/s00213-002-1216-x – volume: 58 start-page: 849 issue: 3 year: 2011 ident: 10.1016/j.mex.2023.102213_bib0009 article-title: How the brain tissue shapes the electric field induced by transcranial magnetic stimulation publication-title: Neuroimage doi: 10.1016/j.neuroimage.2011.06.069 – volume: 62 start-page: 774 issue: 2 year: 2012 ident: 10.1016/j.mex.2023.102213_bib0004 article-title: FreeSurfer publication-title: Neuroimage doi: 10.1016/j.neuroimage.2012.01.021 – volume: 10 start-page: 115 issue: 2 year: 2002 ident: 10.1016/j.mex.2023.102213_bib0003 article-title: Mapping of the human visual cortex using image-guided transcranial magnetic stimulation publication-title: Brain Res. Protoc. doi: 10.1016/S1385-299X(02)00189-7 – volume: 2 start-page: 1 issue: 1 year: 2019 ident: 10.1016/j.mex.2023.102213_bib0015 article-title: Three-dimensional reconstruction of medical images based on 3D slicer publication-title: J. Complex. Health Sci. doi: 10.21595/chs.2019.20724 – volume: 10 issue: 7 year: 2015 ident: 10.1016/j.mex.2023.102213_bib0013 article-title: Highest resolution in vivo human brain MRI using prospective motion correction publication-title: PLoS One doi: 10.1371/journal.pone.0133921 – volume: 108 start-page: 123 issue: 2 year: 2001 ident: 10.1016/j.mex.2023.102213_bib0005 article-title: The navigation of transcranial magnetic stimulation publication-title: Psychiatry Res. doi: 10.1016/S0925-4927(01)00121-4 – volume: 19 start-page: 322 issue: 4 year: 2002 ident: 10.1016/j.mex.2023.102213_bib0014 article-title: Basic mechanisms of TMS publication-title: J. Clin. Neurophysiol. doi: 10.1097/00004691-200208000-00006 – start-page: 7 year: 2009 ident: 10.1016/j.mex.2023.102213_bib0007 article-title: Quaternion: An Alternate Approach to Medical Navigation – volume: 160 start-page: 129 year: 2005 ident: 10.1016/j.mex.2023.102213_bib0006 article-title: Transcranial magnetic stimulation in the visual system. II. Characterization of induced phosphenes and scotomas. Characterization of induced phosphenes and scotomas publication-title: Exp. Brain Res. doi: 10.1007/s00221-004-1992-0 – volume: 31 start-page: 1643 year: 2010 ident: 10.1016/j.mex.2023.102213_bib0011 article-title: Optimal transcranial magnetic stimulation coil placement for targeting the dorsolateral prefrontal cortex using novel magnetic resonance image-guided neuronavigation – volume: 2012 start-page: 70 year: 2013 ident: 10.1016/j.mex.2023.102213_bib0001 article-title: A skull-stripping filter for ITK publication-title: Insight J. – volume: 68 start-page: 484 issue: 7 year: 2007 ident: 10.1016/j.mex.2023.102213_bib0010 article-title: Transcranial magnetic stimulation: diagnostic, therapeutic, and research potential publication-title: Neurology doi: 10.1212/01.wnl.0000250268.13789.b2
SSID	ssj0001343142
Score	2.244174
Snippet	Highly accurate visualization of the points of transcranial magnetic stimulation (TMS) application on the brain cortical surface could provide anatomy-specific...
SourceID	doaj pubmedcentral proquest pubmed crossref elsevier
SourceType	Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher
StartPage	102213
SubjectTerms	Blender brain computer software Motor-evoked potentials Navigated transcranial magnetic stimulation Neuronavigation Neuroscience Neurovisualization Phosphenes TMS TMS-affected Cortical points Visualization on MRI-based Brain Model. The software tool is implemented using the Python language and runs on the Blender software platform. It uses a subject-specific 3D model of the brain's cortical surface reconstructed from MRI data. The software marks the points of TMS application on the cortical surface transcranial magnetic stimulation
Title	Single-Subject TMS Pulse Visualization on MRI-Based Brain Model: A precise method for mapping TMS pulses on cortical surface
URI	https://dx.doi.org/10.1016/j.mex.2023.102213 https://www.ncbi.nlm.nih.gov/pubmed/37292240 https://www.proquest.com/docview/2824692470 https://www.proquest.com/docview/3153849891 https://pubmed.ncbi.nlm.nih.gov/PMC10244693 https://doaj.org/article/979b89528f864463a82db7f431371614
Volume	10
WOSCitedRecordID	wos001054176200001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2215-0161 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001343142 issn: 2215-0161 databaseCode: DOA dateStart: 20140101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2215-0161 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001343142 issn: 2215-0161 databaseCode: M~E dateStart: 20140101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lj9MwELZghRAXxJvwWBmJE1KgjZ3Y5rZFu4JDVyt2Qb1ZfmUp6marpkUcEL-dGTupGhDLBSnqIXUmsT3O943tfEPIy7J21o5hIPGKsZxzUefG-QpClQrwZuQ5C3VMNiGOj-Vspk52Un3hnrAkD5wa7o0SykpVFrKWAN0VM7LwVtSAewyofkxhXQDr2Qmm4uwKgwIxc04BmJYjr-mXNOPmrovw_TUmDkflgmLMBqAUtfsH2PQn9_x9C-UOJh3dIbc7MkkPUiXukmuhuUduTrvl8vvkxykA0yLk8HbA6RZ6Nj2lJxu4If08b_FryvQNJoVj-vFDPgFE83SCSSMo5khbvKUHdInyF3BFSjVNgePSC4OiDufR3BLNtWgBwtg4L07bzao2Ljwgn44Oz969z7t0C7kD2rTOgWsXRgbBgjOlV0Z5eBGqkfeFVV5I46TiEA0yw0QtuSuDMkEa1HexnFtp2UOy11w24TGhwMsCGPXWVoYDYVGyrJmpxtYKIypRZ2TUt7d2nRY5psRY6H7T2VcNXaSxi3Tqooy82l6yTEIcVxWeYCduC6KGdjwBnqU7z9L_8qyM8N4FdEdHEs0AU_Or7v2idxcNQxXXX0wTLjethuiWVxDvitHfyzBEIGgvNc7Io-Ri21rgCisysIzIgfMNqjn8p5l_iZLh8GhQRcWe_I-GeUpuYX3TRNQzsrdebcJzcsN9W8_b1T65LmZyPw5H-J3-PPwF3VM0kg
linkProvider	Directory of Open Access Journals
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Single-Subject+TMS+Pulse+Visualization+on+MRI-Based+Brain+Model%3A+A+precise+method+for+mapping+TMS+pulses+on+cortical+surface&rft.jtitle=MethodsX&rft.au=Syrov%2C+Nikolay&rft.au=Mustafina%2C+Alfiia&rft.au=Berkmush-Antipova%2C+Artemiy&rft.au=Yakovlev%2C+Lev&rft.date=2023-01-01&rft.issn=2215-0161&rft.eissn=2215-0161&rft.volume=10&rft.spage=102213&rft_id=info:doi/10.1016%2Fj.mex.2023.102213&rft_id=info%3Apmid%2F37292240&rft.externalDocID=37292240
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2215-0161&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2215-0161&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2215-0161&client=summon