{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T21:31:01Z","timestamp":1790112661027,"version":"4.0.1"},"update-to":[{"DOI":"10.12688\/f1000research.15125.1","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2018,11,15]],"date-time":"2018-11-15T00:00:00Z","timestamp":1542240000000}}],"reference-count":47,"publisher":"F1000 Research Ltd","license":[{"start":{"date-parts":[[2018,11,15]],"date-time":"2018-11-15T00:00:00Z","timestamp":1542240000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100007137","name":"Helse Nord RHF","doi-asserted-by":"publisher","award":["PFP1237-15"],"award-info":[{"award-number":["PFP1237-15"]}],"id":[{"id":"10.13039\/501100007137","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003554","name":"Lundbeckfonden","doi-asserted-by":"publisher","award":["R118-A11308"],"award-info":[{"award-number":["R118-A11308"]}],"id":[{"id":"10.13039\/501100003554","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009708","name":"Novo Nordisk Fonden","doi-asserted-by":"publisher","award":["NNF14OC0011413"],"award-info":[{"award-number":["NNF14OC0011413"]}],"id":[{"id":"10.13039\/501100009708","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007465","name":"Universitetet i Troms\u00f8","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007465","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["f1000research.com"],"crossmark-restriction":false},"short-container-title":["F1000Res"],"abstract":"<ns4:p>During the past decade, it became clear that the electric field elicited by non-invasive brain stimulation (NIBS) techniques such as transcranial direct current stimulation (tDCS) and transcranial magnetic stimulation (TMS) are substantially influenced by variations in individual head and brain anatomy. In addition to structural variations in the healthy, several psychiatric disorders are characterized by anatomical alterations that are likely to further constrain the intracerebral effects of NIBS. Here, we present high-resolution realistic head models derived from structural magnetic resonance imaging data of 19 healthy adults and 19 patients diagnosed with major depressive disorder (MDD). By using a freely available software package for modelling the electric fields induced by different NIBS protocols, we show that our head models are well-suited for assessing inter-individual and between-group variability in the magnitude and focality of tDCS-induced electric fields for two protocols targeting the left dorsolateral prefrontal cortex.<\/ns4:p>","DOI":"10.12688\/f1000research.15125.2","type":"journal-article","created":{"date-parts":[[2018,11,15]],"date-time":"2018-11-15T06:35:19Z","timestamp":1542263719000},"page":"704","update-policy":"https:\/\/doi.org\/10.12688\/f1000research.crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Head models of healthy and depressed adults for\u00a0simulating the electric fields of non-invasive electric brain stimulation"],"prefix":"10.12688","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1033-7956","authenticated-orcid":false,"given":"Nya Mehnwolo","family":"Boayue","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G\u00e1bor","family":"Csifcs\u00e1k","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3186-244X","authenticated-orcid":false,"given":"Oula","family":"Puonti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Axel","family":"Thielscher","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0205-7353","authenticated-orcid":false,"given":"Matthias","family":"Mittner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2560","published-online":{"date-parts":[[2018,11,15]]},"reference":[{"key":"ref-1","doi-asserted-by":"publisher","first-page":"174-187","DOI":"10.1038\/s41593-017-0054-4","article-title":"Studying 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Head models of healthy and depressed adults for simulating the effects of non-invasive brain stimulation","author":"N Boayue","year":"2018"},{"key":"ref-37","doi-asserted-by":"publisher","first-page":"016002","DOI":"10.1088\/1741-2560\/11\/1\/016002","article-title":"Investigation of tDCS volume conduction effects in a highly realistic head model.","volume":"11","author":"S Wagner","year":"2014","journal-title":"J Neural Eng."},{"key":"ref-38","doi-asserted-by":"publisher","first-page":"923-935","DOI":"10.1002\/hbm.21479","article-title":"Electric field calculations in brain stimulation based on finite elements: an optimized processing pipeline for the generation and usage of accurate individual head models.","volume":"34","author":"M Windhoff","year":"2013","journal-title":"Hum Brain Mapp."},{"key":"ref-39","doi-asserted-by":"publisher","first-page":"587-598","DOI":"10.1016\/j.neuroimage.2018.03.001","article-title":"Automatic skull segmentation from MR images for realistic volume conductor models of the head: Assessment of the state-of-the-art.","volume":"174","author":"J Nielsen","year":"2018","journal-title":"NeuroImage."},{"key":"ref-40","doi-asserted-by":"publisher","first-page":"1309-1331","DOI":"10.1002\/nme.2579","article-title":"Gmsh: A 3-d finite element mesh generator with built-in pre- and post- processing facilities.","volume":"79","author":"C Geuzaine","year":"2009","journal-title":"Int J Numer Meth Eng."},{"key":"ref-41","doi-asserted-by":"publisher","first-page":"2009-2026","DOI":"10.1002\/hbm.22309","article-title":"Automated MRI parcellation of the frontal lobe.","volume":"35","author":"M Ranta","year":"2014","journal-title":"Hum Brain Mapp."},{"key":"ref-42","doi-asserted-by":"publisher","first-page":"332-344","DOI":"10.1016\/j.neuroimage.2013.11.015","article-title":"A computational modelling study of transcranial direct current stimulation montages used in depression.","volume":"87","author":"S Bai","year":"2014","journal-title":"NeuroImage."},{"key":"ref-43","doi-asserted-by":"publisher","first-page":"590-602","DOI":"10.1016\/j.brs.2015.01.401","article-title":"The Pursuit of DLPFC: Non-neuronavigated Methods to Target the Left Dorsolateral Pre-frontal Cortex With Symmetric Bicephalic Transcranial Direct Current Stimulation (tDCS).","volume":"8","author":"O Seibt","year":"2015","journal-title":"Brain Stimul."},{"key":"ref-44","doi-asserted-by":"publisher","first-page":"140-151","DOI":"10.1016\/j.neuroimage.2016.05.032","article-title":"Electric fields of motor and frontal tDCS in a standard brain space: A computer simulation study.","volume":"137","author":"I Laakso","year":"2016","journal-title":"NeuroImage."},{"key":"ref-45","doi-asserted-by":"publisher","DOI":"10.1038\/srep31236","article-title":"Spatiotemporal structure of intracranial electric fields induced by transcranial electric stimulation in humans and nonhuman primates.","volume":"6","author":"A Opitz","year":"2016","journal-title":"Sci Rep."},{"key":"ref-46","doi-asserted-by":"publisher","first-page":"2563-2578","DOI":"10.1113\/jphysiol.2012.247171","article-title":"Cellular effects of acute direct current stimulation: somatic and synaptic terminal effects.","volume":"591","author":"A Rahman","year":"2013","journal-title":"J Physiol."},{"key":"ref-47","doi-asserted-by":"publisher","first-page":"1142-1145","DOI":"10.1109\/ISBI.2009.5193259","article-title":"Tetrahedral mesh generation from volumetric binary and grayscale images","author":"Q Fang","year":"2009","journal-title":"Biomedical Imaging: From Nano to Macro, 2009. ISBI\u201909. IEEE International Symposium on"}],"container-title":["F1000Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/f1000research.com\/articles\/7-704\/v2\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/f1000research.com\/articles\/7-704\/v2\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/f1000research.com\/articles\/7-704\/v2\/iparadigms","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,12,6]],"date-time":"2018-12-06T14:35:56Z","timestamp":1544106956000},"score":1,"resource":{"primary":{"URL":"https:\/\/f1000research.com\/articles\/7-704\/v2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,15]]},"references-count":47,"URL":"https:\/\/doi.org\/10.12688\/f1000research.15125.2","relation":{"has-review":[{"id-type":"doi","id":"10.5256\/f1000research.18435.r40676","asserted-by":"subject"},{"id-type":"doi","id":"10.5256\/f1000research.18435.r40676","asserted-by":"object"}],"has-preprint":[{"id-type":"doi","id":"10.31234\/osf.io\/e5agy","asserted-by":"object"},{"id-type":"doi","id":"10.31234\/osf.io\/e5agy_v1","asserted-by":"object"}]},"ISSN":["2046-1402"],"issn-type":[{"value":"2046-1402","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11,15]]},"assertion":[{"value":"Indexed","URL":"https:\/\/f1000research.com\/articles\/7-704\/v2#article-reports","order":0,"name":"referee-status","label":"Referee status","group":{"name":"current-referee-status","label":"Current Referee Status"}},{"value":"10.5256\/f1000research.16478.r34789, Ilkka Laakso, \u00a0Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland, 18 Jun 2018, version 1, 1 approved, 1 approved with reservations","URL":"https:\/\/f1000research.com\/articles\/7-704\/v1#referee-response-34789","order":0,"name":"referee-response-34789","label":"Referee Report","group":{"name":"article-reports","label":"Article Reports"}},{"value":"<b>Nya Boayue<\/b>; \n<i>Posted: 26 Oct 2018<\/i>; We would like to thank Dr. Laakso for reviewing our manuscript and for the helpful comments. These comments have been addressed in the new version of the manuscript. We have also updated the scripts in our data repository such that they are compatible with the currently released SimNIBS (version 2.1.1). &nbsp;  \n<i>Thanks for pointing out this issue. We have now added air cavities to the caption of Figure 2. Concerning the discrepancy between the segmentations and the final head models, we have now added the following clarification to the<\/i>\n<i><b> creation of head models <\/b><\/i>\n<i>section \u201c<\/i>\n<i>The initial segmentation included more than 6 tissue compartments (e.g., separate tissue types for cerebellar gray and white matter; available in the m2m_sub-* folders) but they were later combined into one of 6 tissue types: skin, skull, CSF, GM, GM and eyeballs in the final head models for simulation purposes. In addition, air cavities were modeled by not adding tetrahedra to these locations, similar to the air surrounding the head<\/i>\n<i>.<\/i>\n<i>\u201d<\/i>  &nbsp; This is an important point. We have now added the following sentence to the \n<i><b>creation of head models <\/b><\/i>\n<i>section<\/i> \u201cAdditionally, the segmentation of the brainstem is not accurate because it arbitrarily assigned brain tissue to white and grey matter.&nbsp;&nbsp;  &nbsp; We concur with this point. The abstract sentence now reads \u201c\u2026 the electric field elicited by non-invasive brain stimulation ...\u201d The &quot;\n<b>Dataset validation<\/b>&quot; sentence which was changed a bit now reads \u201c We provide scripts compatible with SimNIBS 2.1.1 for automated simulation of tDCS-induced electric fields for all head models ...\u201d  &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;","URL":"https:\/\/f1000research.com\/articles\/7-704\/v2#referee-comment-4090","order":1,"name":"referee-comment-4090","label":"Referee Comment","group":{"name":"article-reports","label":"Article Reports"}},{"value":"10.5256\/f1000research.18435.r40676, Yu Huang, City College of New York, New York City, NY, USA, 15 Nov 2018, version 2, indexed","URL":"https:\/\/f1000research.com\/articles\/7-704\/v2#referee-response-40676","order":2,"name":"referee-response-40676","label":"Referee Report","group":{"name":"article-reports","label":"Article Reports"}},{"value":"This work was supported by the Northern Norway Regional Health Authority (grant no. PFP1237-15) for G.Cs. and M.M. and by the Lundbeck foundation (grant no. R118-A11308) and the Novonordisk foundation (grant no. NNF14OC0011413)\nfor O.P. and A.T. The publication charges for this article have been funded by a grant from the publication fund of UiT The Arctic University of Norway. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.","order":3,"name":"grant-information","label":"Grant Information"},{"value":"This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.","order":0,"name":"copyright-info","label":"Copyright"}]}}