When to include ECoG electrode properties in volume conduction models Article Swipe
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1088/1741-2552/abb11d
Objective. Implantable electrodes, such as electrocorticography (ECoG) grids, are used to record brain activity in applications like brain computer interfaces. To improve the spatial sensitivity of ECoG grid recordings, electrode properties need to be better understood. Therefore, the goal of this study is to analyze the importance of including electrodes explicitly in volume conduction calculations. Approach. We investigated the influence of ECoG electrode properties on potentials in three geometries with three different electrode models. We performed our simulations with FEMfuns, a volume conduction modeling software toolbox based on the finite element method. Main results. The presence of the electrode alters the potential distribution by an amount that depends on its surface impedance, its distance from the source and the strength of the source. Our modeling results show that when ECoG electrodes are near the sources the potentials in the underlying tissue are more uniform than without electrodes. We show that the recorded potential can change up to a factor of 3, if no extended electrode model is used. In conclusion, when the distance between an electrode and the source is equal to or smaller than the size of the electrode, electrode effects cannot be disregarded. Furthermore, the potential distribution of the tissue under the electrode is affected up to depths equal to the radius of the electrode. Significance. This paper shows the importance of explicitly including electrode properties in volume conduction models for accurately interpreting ECoG measurements.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1741-2552/abb11d
- https://iopscience.iop.org/article/10.1088/1741-2552/abb11d/pdf
- OA Status
- hybrid
- Cited By
- 5
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3080339005
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3080339005Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1741-2552/abb11dDigital Object Identifier
- Title
-
When to include ECoG electrode properties in volume conduction modelsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-08-20Full publication date if available
- Authors
-
Meron Vermaas, Maria Carla Piastra, Thom F. Oostendorp, Nick F. Ramsey, Paul TiesingaList of authors in order
- Landing page
-
https://doi.org/10.1088/1741-2552/abb11dPublisher landing page
- PDF URL
-
https://iopscience.iop.org/article/10.1088/1741-2552/abb11d/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://iopscience.iop.org/article/10.1088/1741-2552/abb11d/pdfDirect OA link when available
- Concepts
-
Volume (thermodynamics), Electrode, Materials science, Thermal conduction, Computer science, Thermodynamics, Chemistry, Physics, Composite material, Physical chemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2023: 1, 2022: 1, 2021: 1, 2020: 1Per-year citation counts (last 5 years)
- References (count)
-
33Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3080339005 |
|---|---|
| doi | https://doi.org/10.1088/1741-2552/abb11d |
| ids.doi | https://doi.org/10.1088/1741-2552/abb11d |
| ids.mag | 3080339005 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/33055363 |
| ids.openalex | https://openalex.org/W3080339005 |
| fwci | 0.39281749 |
| mesh[0].qualifier_ui | |
| mesh[0].descriptor_ui | D062207 |
| mesh[0].is_major_topic | True |
| mesh[0].qualifier_name | |
| mesh[0].descriptor_name | Brain-Computer Interfaces |
| mesh[1].qualifier_ui | |
| mesh[1].descriptor_ui | D000069280 |
| mesh[1].is_major_topic | True |
| mesh[1].qualifier_name | |
| mesh[1].descriptor_name | Electrocorticography |
| mesh[2].qualifier_ui | |
| mesh[2].descriptor_ui | D004566 |
| mesh[2].is_major_topic | False |
| mesh[2].qualifier_name | |
| mesh[2].descriptor_name | Electrodes |
| mesh[3].qualifier_ui | |
| mesh[3].descriptor_ui | D004567 |
| mesh[3].is_major_topic | False |
| mesh[3].qualifier_name | |
| mesh[3].descriptor_name | Electrodes, Implanted |
| mesh[4].qualifier_ui | |
| mesh[4].descriptor_ui | D012984 |
| mesh[4].is_major_topic | False |
| mesh[4].qualifier_name | |
| mesh[4].descriptor_name | Software |
| mesh[5].qualifier_ui | |
| mesh[5].descriptor_ui | D062207 |
| mesh[5].is_major_topic | True |
| mesh[5].qualifier_name | |
| mesh[5].descriptor_name | Brain-Computer Interfaces |
| mesh[6].qualifier_ui | |
| mesh[6].descriptor_ui | D000069280 |
| mesh[6].is_major_topic | True |
| mesh[6].qualifier_name | |
| mesh[6].descriptor_name | Electrocorticography |
| mesh[7].qualifier_ui | |
| mesh[7].descriptor_ui | D004566 |
| mesh[7].is_major_topic | False |
| mesh[7].qualifier_name | |
| mesh[7].descriptor_name | Electrodes |
| mesh[8].qualifier_ui | |
| mesh[8].descriptor_ui | D004567 |
| mesh[8].is_major_topic | False |
| mesh[8].qualifier_name | |
| mesh[8].descriptor_name | Electrodes, Implanted |
| mesh[9].qualifier_ui | |
| mesh[9].descriptor_ui | D012984 |
| mesh[9].is_major_topic | False |
| mesh[9].qualifier_name | |
| mesh[9].descriptor_name | Software |
| type | article |
| title | When to include ECoG electrode properties in volume conduction models |
| biblio.issue | 5 |
| biblio.volume | 17 |
| biblio.last_page | 056031 |
| biblio.first_page | 056031 |
| grants[0].funder | https://openalex.org/F4320334893 |
| grants[0].award_id | NeuroCIMT |
| grants[0].funder_display_name | Stichting voor de Technische Wetenschappen |
| topics[0].id | https://openalex.org/T11778 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9988999962806702 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2208 |
| topics[0].subfield.display_name | Electrical and Electronic Engineering |
| topics[0].display_name | Electrical and Bioimpedance Tomography |
| topics[1].id | https://openalex.org/T10338 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9890000224113464 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2204 |
| topics[1].subfield.display_name | Biomedical Engineering |
| topics[1].display_name | Advanced Sensor and Energy Harvesting Materials |
| topics[2].id | https://openalex.org/T10323 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9865999817848206 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2204 |
| topics[2].subfield.display_name | Biomedical Engineering |
| topics[2].display_name | Analog and Mixed-Signal Circuit Design |
| funders[0].id | https://openalex.org/F4320334893 |
| funders[0].ror | https://ror.org/057tq3593 |
| funders[0].display_name | Stichting voor de Technische Wetenschappen |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C20556612 |
| concepts[0].level | 2 |
| concepts[0].score | 0.5657521486282349 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q4469374 |
| concepts[0].display_name | Volume (thermodynamics) |
| concepts[1].id | https://openalex.org/C17525397 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5373090505599976 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q176140 |
| concepts[1].display_name | Electrode |
| concepts[2].id | https://openalex.org/C192562407 |
| concepts[2].level | 0 |
| concepts[2].score | 0.44362324476242065 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q228736 |
| concepts[2].display_name | Materials science |
| concepts[3].id | https://openalex.org/C172100665 |
| concepts[3].level | 2 |
| concepts[3].score | 0.4206872284412384 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q7465774 |
| concepts[3].display_name | Thermal conduction |
| concepts[4].id | https://openalex.org/C41008148 |
| concepts[4].level | 0 |
| concepts[4].score | 0.40416496992111206 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[4].display_name | Computer science |
| concepts[5].id | https://openalex.org/C97355855 |
| concepts[5].level | 1 |
| concepts[5].score | 0.17229950428009033 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q11473 |
| concepts[5].display_name | Thermodynamics |
| concepts[6].id | https://openalex.org/C185592680 |
| concepts[6].level | 0 |
| concepts[6].score | 0.1537952423095703 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[6].display_name | Chemistry |
| concepts[7].id | https://openalex.org/C121332964 |
| concepts[7].level | 0 |
| concepts[7].score | 0.13918066024780273 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[7].display_name | Physics |
| concepts[8].id | https://openalex.org/C159985019 |
| concepts[8].level | 1 |
| concepts[8].score | 0.1340564787387848 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q181790 |
| concepts[8].display_name | Composite material |
| concepts[9].id | https://openalex.org/C147789679 |
| concepts[9].level | 1 |
| concepts[9].score | 0.06732207536697388 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q11372 |
| concepts[9].display_name | Physical chemistry |
| keywords[0].id | https://openalex.org/keywords/volume |
| keywords[0].score | 0.5657521486282349 |
| keywords[0].display_name | Volume (thermodynamics) |
| keywords[1].id | https://openalex.org/keywords/electrode |
| keywords[1].score | 0.5373090505599976 |
| keywords[1].display_name | Electrode |
| keywords[2].id | https://openalex.org/keywords/materials-science |
| keywords[2].score | 0.44362324476242065 |
| keywords[2].display_name | Materials science |
| keywords[3].id | https://openalex.org/keywords/thermal-conduction |
| keywords[3].score | 0.4206872284412384 |
| keywords[3].display_name | Thermal conduction |
| keywords[4].id | https://openalex.org/keywords/computer-science |
| keywords[4].score | 0.40416496992111206 |
| keywords[4].display_name | Computer science |
| keywords[5].id | https://openalex.org/keywords/thermodynamics |
| keywords[5].score | 0.17229950428009033 |
| keywords[5].display_name | Thermodynamics |
| keywords[6].id | https://openalex.org/keywords/chemistry |
| keywords[6].score | 0.1537952423095703 |
| keywords[6].display_name | Chemistry |
| keywords[7].id | https://openalex.org/keywords/physics |
| keywords[7].score | 0.13918066024780273 |
| keywords[7].display_name | Physics |
| keywords[8].id | https://openalex.org/keywords/composite-material |
| keywords[8].score | 0.1340564787387848 |
| keywords[8].display_name | Composite material |
| keywords[9].id | https://openalex.org/keywords/physical-chemistry |
| keywords[9].score | 0.06732207536697388 |
| keywords[9].display_name | Physical chemistry |
| language | en |
| locations[0].id | doi:10.1088/1741-2552/abb11d |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S32898093 |
| locations[0].source.issn | 1741-2552, 1741-2560 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 1741-2552 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Journal of Neural Engineering |
| locations[0].source.host_organization | https://openalex.org/P4310320083 |
| locations[0].source.host_organization_name | IOP Publishing |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320083 |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://iopscience.iop.org/article/10.1088/1741-2552/abb11d/pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Journal of Neural Engineering |
| locations[0].landing_page_url | https://doi.org/10.1088/1741-2552/abb11d |
| locations[1].id | pmid:33055363 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Journal of neural engineering |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/33055363 |
| locations[2].id | pmh:ru:oai:repository.ubn.ru.nl:2066/226170 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306401843 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | Data Archiving and Networked Services (DANS) |
| locations[2].source.host_organization | https://openalex.org/I1322597698 |
| locations[2].source.host_organization_name | Royal Netherlands Academy of Arts and Sciences |
| locations[2].source.host_organization_lineage | https://openalex.org/I1322597698 |
| locations[2].license | other-oa |
| locations[2].pdf_url | http://hdl.handle.net/2066/226170 |
| locations[2].version | submittedVersion |
| locations[2].raw_type | info:eu-repo/semantics/article |
| locations[2].license_id | https://openalex.org/licenses/other-oa |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Journal of Neural Engineering, 17, 1 - 11 |
| locations[2].landing_page_url | http://hdl.handle.net/2066/226170 |
| locations[3].id | pmh:oai:repository.ubn.ru.nl:2066/226170 |
| locations[3].is_oa | False |
| locations[3].source.id | https://openalex.org/S4306401067 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | Radboud Repository (Radboud University) |
| locations[3].source.host_organization | https://openalex.org/I145872427 |
| locations[3].source.host_organization_name | Radboud University Nijmegen |
| locations[3].source.host_organization_lineage | https://openalex.org/I145872427 |
| locations[3].license | |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Article / Letter to editor |
| locations[3].license_id | |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | |
| locations[3].landing_page_url | https://hdl.handle.net/2066/226170 |
| indexed_in | crossref, pubmed |
| authorships[0].author.id | https://openalex.org/A5054557404 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-4714-3941 |
| authorships[0].author.display_name | Meron Vermaas |
| authorships[0].countries | NL |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I145872427 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Neuroinformatics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands |
| authorships[0].institutions[0].id | https://openalex.org/I145872427 |
| authorships[0].institutions[0].ror | https://ror.org/016xsfp80 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I145872427 |
| authorships[0].institutions[0].country_code | NL |
| authorships[0].institutions[0].display_name | Radboud University Nijmegen |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | M Vermaas |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Department of Neuroinformatics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands |
| authorships[1].author.id | https://openalex.org/A5003678411 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-8339-0355 |
| authorships[1].author.display_name | Maria Carla Piastra |
| authorships[1].countries | NL |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I145872427, https://openalex.org/I2802934949 |
| authorships[1].affiliations[0].raw_affiliation_string | Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands |
| authorships[1].institutions[0].id | https://openalex.org/I2802934949 |
| authorships[1].institutions[0].ror | https://ror.org/05wg1m734 |
| authorships[1].institutions[0].type | healthcare |
| authorships[1].institutions[0].lineage | https://openalex.org/I2802934949 |
| authorships[1].institutions[0].country_code | NL |
| authorships[1].institutions[0].display_name | Radboud University Medical Center |
| authorships[1].institutions[1].id | https://openalex.org/I145872427 |
| authorships[1].institutions[1].ror | https://ror.org/016xsfp80 |
| authorships[1].institutions[1].type | education |
| authorships[1].institutions[1].lineage | https://openalex.org/I145872427 |
| authorships[1].institutions[1].country_code | NL |
| authorships[1].institutions[1].display_name | Radboud University Nijmegen |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | M C Piastra |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands |
| authorships[2].author.id | https://openalex.org/A5021642050 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-2265-9327 |
| authorships[2].author.display_name | Thom F. Oostendorp |
| authorships[2].countries | NL |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I145872427, https://openalex.org/I2802934949 |
| authorships[2].affiliations[0].raw_affiliation_string | Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands |
| authorships[2].institutions[0].id | https://openalex.org/I2802934949 |
| authorships[2].institutions[0].ror | https://ror.org/05wg1m734 |
| authorships[2].institutions[0].type | healthcare |
| authorships[2].institutions[0].lineage | https://openalex.org/I2802934949 |
| authorships[2].institutions[0].country_code | NL |
| authorships[2].institutions[0].display_name | Radboud University Medical Center |
| authorships[2].institutions[1].id | https://openalex.org/I145872427 |
| authorships[2].institutions[1].ror | https://ror.org/016xsfp80 |
| authorships[2].institutions[1].type | education |
| authorships[2].institutions[1].lineage | https://openalex.org/I145872427 |
| authorships[2].institutions[1].country_code | NL |
| authorships[2].institutions[1].display_name | Radboud University Nijmegen |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | T F Oostendorp |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands |
| authorships[3].author.id | https://openalex.org/A5063036619 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-7136-259X |
| authorships[3].author.display_name | Nick F. Ramsey |
| authorships[3].countries | NL |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I3018483916 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands |
| authorships[3].institutions[0].id | https://openalex.org/I3018483916 |
| authorships[3].institutions[0].ror | https://ror.org/0575yy874 |
| authorships[3].institutions[0].type | healthcare |
| authorships[3].institutions[0].lineage | https://openalex.org/I3018483916 |
| authorships[3].institutions[0].country_code | NL |
| authorships[3].institutions[0].display_name | University Medical Center Utrecht |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | N F Ramsey |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands |
| authorships[4].author.id | https://openalex.org/A5015482433 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-4509-6870 |
| authorships[4].author.display_name | Paul Tiesinga |
| authorships[4].countries | NL |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I145872427 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Neuroinformatics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands |
| authorships[4].institutions[0].id | https://openalex.org/I145872427 |
| authorships[4].institutions[0].ror | https://ror.org/016xsfp80 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I145872427 |
| authorships[4].institutions[0].country_code | NL |
| authorships[4].institutions[0].display_name | Radboud University Nijmegen |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | P H E Tiesinga |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Neuroinformatics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://iopscience.iop.org/article/10.1088/1741-2552/abb11d/pdf |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | When to include ECoG electrode properties in volume conduction models |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-23T05:10:03.516525 |
| primary_topic.id | https://openalex.org/T11778 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9988999962806702 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2208 |
| primary_topic.subfield.display_name | Electrical and Electronic Engineering |
| primary_topic.display_name | Electrical and Bioimpedance Tomography |
| related_works | https://openalex.org/W4391375266, https://openalex.org/W2899084033, https://openalex.org/W2748952813, https://openalex.org/W2016187641, https://openalex.org/W4404725684, https://openalex.org/W2805339068, https://openalex.org/W4246450666, https://openalex.org/W4388998267, https://openalex.org/W2898370298, https://openalex.org/W2137437058 |
| cited_by_count | 5 |
| counts_by_year[0].year | 2024 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2023 |
| counts_by_year[1].cited_by_count | 1 |
| counts_by_year[2].year | 2022 |
| counts_by_year[2].cited_by_count | 1 |
| counts_by_year[3].year | 2021 |
| counts_by_year[3].cited_by_count | 1 |
| counts_by_year[4].year | 2020 |
| counts_by_year[4].cited_by_count | 1 |
| locations_count | 4 |
| best_oa_location.id | doi:10.1088/1741-2552/abb11d |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S32898093 |
| best_oa_location.source.issn | 1741-2552, 1741-2560 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 1741-2552 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Journal of Neural Engineering |
| best_oa_location.source.host_organization | https://openalex.org/P4310320083 |
| best_oa_location.source.host_organization_name | IOP Publishing |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320083 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://iopscience.iop.org/article/10.1088/1741-2552/abb11d/pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Journal of Neural Engineering |
| best_oa_location.landing_page_url | https://doi.org/10.1088/1741-2552/abb11d |
| primary_location.id | doi:10.1088/1741-2552/abb11d |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S32898093 |
| primary_location.source.issn | 1741-2552, 1741-2560 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1741-2552 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Journal of Neural Engineering |
| primary_location.source.host_organization | https://openalex.org/P4310320083 |
| primary_location.source.host_organization_name | IOP Publishing |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320083 |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://iopscience.iop.org/article/10.1088/1741-2552/abb11d/pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Journal of Neural Engineering |
| primary_location.landing_page_url | https://doi.org/10.1088/1741-2552/abb11d |
| publication_date | 2020-08-20 |
| publication_year | 2020 |
| referenced_works | https://openalex.org/W2549587034, https://openalex.org/W2080800494, https://openalex.org/W2067686742, https://openalex.org/W2550996802, https://openalex.org/W6643551496, https://openalex.org/W2061324080, https://openalex.org/W2152432333, https://openalex.org/W1987333243, https://openalex.org/W2090722446, https://openalex.org/W6683396853, https://openalex.org/W2016844172, https://openalex.org/W2052901134, https://openalex.org/W3016295717, https://openalex.org/W6663141744, https://openalex.org/W2794649691, https://openalex.org/W2128095813, https://openalex.org/W6677679180, https://openalex.org/W2112311198, https://openalex.org/W2100108190, https://openalex.org/W2011363973, https://openalex.org/W1998962655, https://openalex.org/W1972519997, https://openalex.org/W2086453873, https://openalex.org/W1989700973, https://openalex.org/W2922697111, https://openalex.org/W1969801391, https://openalex.org/W2149924097, https://openalex.org/W2158956772, https://openalex.org/W2050236517, https://openalex.org/W1973254888, https://openalex.org/W4210328736, https://openalex.org/W2119070895, https://openalex.org/W2212370034 |
| referenced_works_count | 33 |
| abstract_inverted_index.a | 81, 158 |
| abstract_inverted_index.3, | 161 |
| abstract_inverted_index.In | 169 |
| abstract_inverted_index.To | 21 |
| abstract_inverted_index.We | 57, 75, 148 |
| abstract_inverted_index.an | 105, 175 |
| abstract_inverted_index.as | 5 |
| abstract_inverted_index.be | 34, 194 |
| abstract_inverted_index.by | 104 |
| abstract_inverted_index.if | 162 |
| abstract_inverted_index.in | 15, 52, 67, 138, 229 |
| abstract_inverted_index.is | 43, 167, 180, 206 |
| abstract_inverted_index.no | 163 |
| abstract_inverted_index.of | 26, 40, 48, 61, 97, 121, 160, 188, 200, 215, 224 |
| abstract_inverted_index.on | 65, 88, 109 |
| abstract_inverted_index.or | 183 |
| abstract_inverted_index.to | 11, 33, 44, 157, 182, 209, 212 |
| abstract_inverted_index.up | 156, 208 |
| abstract_inverted_index.Our | 124 |
| abstract_inverted_index.The | 95 |
| abstract_inverted_index.and | 118, 177 |
| abstract_inverted_index.are | 9, 132, 142 |
| abstract_inverted_index.can | 154 |
| abstract_inverted_index.for | 233 |
| abstract_inverted_index.its | 110, 113 |
| abstract_inverted_index.our | 77 |
| abstract_inverted_index.the | 23, 38, 46, 59, 89, 98, 101, 116, 119, 122, 134, 136, 139, 151, 172, 178, 186, 189, 197, 201, 204, 213, 216, 222 |
| abstract_inverted_index.ECoG | 27, 62, 130, 236 |
| abstract_inverted_index.Main | 93 |
| abstract_inverted_index.This | 219 |
| abstract_inverted_index.from | 115 |
| abstract_inverted_index.goal | 39 |
| abstract_inverted_index.grid | 28 |
| abstract_inverted_index.like | 17 |
| abstract_inverted_index.more | 143 |
| abstract_inverted_index.near | 133 |
| abstract_inverted_index.need | 32 |
| abstract_inverted_index.show | 127, 149 |
| abstract_inverted_index.size | 187 |
| abstract_inverted_index.such | 4 |
| abstract_inverted_index.than | 145, 185 |
| abstract_inverted_index.that | 107, 128, 150 |
| abstract_inverted_index.this | 41 |
| abstract_inverted_index.used | 10 |
| abstract_inverted_index.when | 129, 171 |
| abstract_inverted_index.with | 70, 79 |
| abstract_inverted_index.based | 87 |
| abstract_inverted_index.brain | 13, 18 |
| abstract_inverted_index.equal | 181, 211 |
| abstract_inverted_index.model | 166 |
| abstract_inverted_index.paper | 220 |
| abstract_inverted_index.shows | 221 |
| abstract_inverted_index.study | 42 |
| abstract_inverted_index.three | 68, 71 |
| abstract_inverted_index.under | 203 |
| abstract_inverted_index.used. | 168 |
| abstract_inverted_index.(ECoG) | 7 |
| abstract_inverted_index.alters | 100 |
| abstract_inverted_index.amount | 106 |
| abstract_inverted_index.better | 35 |
| abstract_inverted_index.cannot | 193 |
| abstract_inverted_index.change | 155 |
| abstract_inverted_index.depths | 210 |
| abstract_inverted_index.factor | 159 |
| abstract_inverted_index.finite | 90 |
| abstract_inverted_index.grids, | 8 |
| abstract_inverted_index.models | 232 |
| abstract_inverted_index.radius | 214 |
| abstract_inverted_index.record | 12 |
| abstract_inverted_index.source | 117, 179 |
| abstract_inverted_index.tissue | 141, 202 |
| abstract_inverted_index.volume | 53, 82, 230 |
| abstract_inverted_index.analyze | 45 |
| abstract_inverted_index.between | 174 |
| abstract_inverted_index.depends | 108 |
| abstract_inverted_index.effects | 192 |
| abstract_inverted_index.element | 91 |
| abstract_inverted_index.improve | 22 |
| abstract_inverted_index.method. | 92 |
| abstract_inverted_index.models. | 74 |
| abstract_inverted_index.results | 126 |
| abstract_inverted_index.smaller | 184 |
| abstract_inverted_index.source. | 123 |
| abstract_inverted_index.sources | 135 |
| abstract_inverted_index.spatial | 24 |
| abstract_inverted_index.surface | 111 |
| abstract_inverted_index.toolbox | 86 |
| abstract_inverted_index.uniform | 144 |
| abstract_inverted_index.without | 146 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.FEMfuns, | 80 |
| abstract_inverted_index.activity | 14 |
| abstract_inverted_index.affected | 207 |
| abstract_inverted_index.computer | 19 |
| abstract_inverted_index.distance | 114, 173 |
| abstract_inverted_index.extended | 164 |
| abstract_inverted_index.modeling | 84, 125 |
| abstract_inverted_index.presence | 96 |
| abstract_inverted_index.recorded | 152 |
| abstract_inverted_index.results. | 94 |
| abstract_inverted_index.software | 85 |
| abstract_inverted_index.strength | 120 |
| abstract_inverted_index.Approach. | 56 |
| abstract_inverted_index.different | 72 |
| abstract_inverted_index.electrode | 30, 63, 73, 99, 165, 176, 191, 205, 227 |
| abstract_inverted_index.including | 49, 226 |
| abstract_inverted_index.influence | 60 |
| abstract_inverted_index.performed | 76 |
| abstract_inverted_index.potential | 102, 153, 198 |
| abstract_inverted_index.Objective. | 1 |
| abstract_inverted_index.Therefore, | 37 |
| abstract_inverted_index.accurately | 234 |
| abstract_inverted_index.conduction | 54, 83, 231 |
| abstract_inverted_index.electrode, | 190 |
| abstract_inverted_index.electrode. | 217 |
| abstract_inverted_index.electrodes | 50, 131 |
| abstract_inverted_index.explicitly | 51, 225 |
| abstract_inverted_index.geometries | 69 |
| abstract_inverted_index.impedance, | 112 |
| abstract_inverted_index.importance | 47, 223 |
| abstract_inverted_index.potentials | 66, 137 |
| abstract_inverted_index.properties | 31, 64, 228 |
| abstract_inverted_index.underlying | 140 |
| abstract_inverted_index.Implantable | 2 |
| abstract_inverted_index.conclusion, | 170 |
| abstract_inverted_index.electrodes, | 3 |
| abstract_inverted_index.electrodes. | 147 |
| abstract_inverted_index.interfaces. | 20 |
| abstract_inverted_index.recordings, | 29 |
| abstract_inverted_index.sensitivity | 25 |
| abstract_inverted_index.simulations | 78 |
| abstract_inverted_index.understood. | 36 |
| abstract_inverted_index.Furthermore, | 196 |
| abstract_inverted_index.applications | 16 |
| abstract_inverted_index.disregarded. | 195 |
| abstract_inverted_index.distribution | 103, 199 |
| abstract_inverted_index.interpreting | 235 |
| abstract_inverted_index.investigated | 58 |
| abstract_inverted_index.Significance. | 218 |
| abstract_inverted_index.calculations. | 55 |
| abstract_inverted_index.measurements. | 237 |
| abstract_inverted_index.electrocorticography | 6 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5054557404 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I145872427 |
| citation_normalized_percentile.value | 0.62059988 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |