Evaluating interhemispheric connectivity during midline object recognition using EEG Article Swipe
Anwesha Das
,
Alexandra Mandel
,
Hitoshi Shitara
,
Traian Popa
,
Silvina G. Horovitz
,
Mark Hallett
,
Nivethida Thirugnanasambandam
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0270949
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0270949
Functional integration between two hemispheres is crucial for perceptual binding to occur when visual stimuli are presented in the midline of the visual field. Mima and colleagues (2001) showed using EEG that midline object recognition was associated with task-related decrease in alpha band power (alpha desynchronisation) and a transient increase in interhemispheric coherence. Our objective in the current study was to replicate the results of Mima et al. and to further evaluate interhemispheric effective connectivity during midline object recognition in source space. We recruited 11 healthy adult volunteers and recorded EEG from 64 channels while they performed a midline object recognition task. Task-related power and coherence were estimated in sensor and source spaces. Further, effective connectivity was evaluated using Granger causality. While we were able to replicate the alpha desynchronisation associated with midline object recognition, we could not replicate the coherence results of Mima et al. The data-driven approach that we employed in our study localised the source of alpha desynchronisation over the left occipito-temporal region. In the alpha band, we further observed significant increase in imaginary part of coherency between bilateral occipito-temporal regions during object recognition. Finally, Granger causality analysis between the left and right occipito-temporal regions provided an insight that even though there is bidirectional interaction, the left occipito-temporal region may be crucial for integrating the information necessary for object recognition. The significance of the current study lies in using high-density EEG and applying more appropriate and robust measures of connectivity as well as statistical analysis to validate and enhance our current knowledge on the neural basis of midline object recognition.
Related Topics
Concepts
Electroencephalography
Coherence (philosophical gambling strategy)
Artificial intelligence
Replicate
Object (grammar)
Pattern recognition (psychology)
Computer science
Perception
Cognitive neuroscience of visual object recognition
Task (project management)
Neuroscience
Psychology
Speech recognition
Communication
Computer vision
Physics
Mathematics
Economics
Quantum mechanics
Statistics
Management
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0270949
- https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0270949&type=printable
- OA Status
- gold
- Cited By
- 5
- References
- 72
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4293155617
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4293155617Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1371/journal.pone.0270949Digital Object Identifier
- Title
-
Evaluating interhemispheric connectivity during midline object recognition using EEGWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-08-26Full publication date if available
- Authors
-
Anwesha Das, Alexandra Mandel, Hitoshi Shitara, Traian Popa, Silvina G. Horovitz, Mark Hallett, Nivethida ThirugnanasambandamList of authors in order
- Landing page
-
https://doi.org/10.1371/journal.pone.0270949Publisher landing page
- PDF URL
-
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0270949&type=printableDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0270949&type=printableDirect OA link when available
- Concepts
-
Electroencephalography, Coherence (philosophical gambling strategy), Artificial intelligence, Replicate, Object (grammar), Pattern recognition (psychology), Computer science, Perception, Cognitive neuroscience of visual object recognition, Task (project management), Neuroscience, Psychology, Speech recognition, Communication, Computer vision, Physics, Mathematics, Economics, Quantum mechanics, Statistics, ManagementTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 3, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
72Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4293155617 |
|---|---|
| doi | https://doi.org/10.1371/journal.pone.0270949 |
| ids.doi | https://doi.org/10.1371/journal.pone.0270949 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/36026515 |
| ids.openalex | https://openalex.org/W4293155617 |
| fwci | 0.80260456 |
| mesh[0].qualifier_ui | |
| mesh[0].descriptor_ui | D000328 |
| mesh[0].is_major_topic | False |
| mesh[0].qualifier_name | |
| mesh[0].descriptor_name | Adult |
| mesh[1].qualifier_ui | |
| mesh[1].descriptor_ui | D001931 |
| mesh[1].is_major_topic | False |
| mesh[1].qualifier_name | |
| mesh[1].descriptor_name | Brain Mapping |
| mesh[2].qualifier_ui | |
| mesh[2].descriptor_ui | D004569 |
| mesh[2].is_major_topic | False |
| mesh[2].qualifier_name | |
| mesh[2].descriptor_name | Electroencephalography |
| mesh[3].qualifier_ui | |
| mesh[3].descriptor_ui | D006801 |
| mesh[3].is_major_topic | False |
| mesh[3].qualifier_name | |
| mesh[3].descriptor_name | Humans |
| mesh[4].qualifier_ui | |
| mesh[4].descriptor_ui | D013702 |
| mesh[4].is_major_topic | True |
| mesh[4].qualifier_name | |
| mesh[4].descriptor_name | Temporal Lobe |
| mesh[5].qualifier_ui | |
| mesh[5].descriptor_ui | D014796 |
| mesh[5].is_major_topic | True |
| mesh[5].qualifier_name | |
| mesh[5].descriptor_name | Visual Perception |
| mesh[6].qualifier_ui | |
| mesh[6].descriptor_ui | D000328 |
| mesh[6].is_major_topic | False |
| mesh[6].qualifier_name | |
| mesh[6].descriptor_name | Adult |
| mesh[7].qualifier_ui | |
| mesh[7].descriptor_ui | D001931 |
| mesh[7].is_major_topic | False |
| mesh[7].qualifier_name | |
| mesh[7].descriptor_name | Brain Mapping |
| mesh[8].qualifier_ui | |
| mesh[8].descriptor_ui | D004569 |
| mesh[8].is_major_topic | False |
| mesh[8].qualifier_name | |
| mesh[8].descriptor_name | Electroencephalography |
| mesh[9].qualifier_ui | |
| mesh[9].descriptor_ui | D006801 |
| mesh[9].is_major_topic | False |
| mesh[9].qualifier_name | |
| mesh[9].descriptor_name | Humans |
| mesh[10].qualifier_ui | |
| mesh[10].descriptor_ui | D013702 |
| mesh[10].is_major_topic | True |
| mesh[10].qualifier_name | |
| mesh[10].descriptor_name | Temporal Lobe |
| mesh[11].qualifier_ui | |
| mesh[11].descriptor_ui | D014796 |
| mesh[11].is_major_topic | True |
| mesh[11].qualifier_name | |
| mesh[11].descriptor_name | Visual Perception |
| mesh[12].qualifier_ui | |
| mesh[12].descriptor_ui | D000328 |
| mesh[12].is_major_topic | False |
| mesh[12].qualifier_name | |
| mesh[12].descriptor_name | Adult |
| mesh[13].qualifier_ui | |
| mesh[13].descriptor_ui | D001931 |
| mesh[13].is_major_topic | False |
| mesh[13].qualifier_name | |
| mesh[13].descriptor_name | Brain Mapping |
| mesh[14].qualifier_ui | |
| mesh[14].descriptor_ui | D004569 |
| mesh[14].is_major_topic | False |
| mesh[14].qualifier_name | |
| mesh[14].descriptor_name | Electroencephalography |
| mesh[15].qualifier_ui | |
| mesh[15].descriptor_ui | D006801 |
| mesh[15].is_major_topic | False |
| mesh[15].qualifier_name | |
| mesh[15].descriptor_name | Humans |
| mesh[16].qualifier_ui | |
| mesh[16].descriptor_ui | D013702 |
| mesh[16].is_major_topic | True |
| mesh[16].qualifier_name | |
| mesh[16].descriptor_name | Temporal Lobe |
| mesh[17].qualifier_ui | |
| mesh[17].descriptor_ui | D014796 |
| mesh[17].is_major_topic | True |
| mesh[17].qualifier_name | |
| mesh[17].descriptor_name | Visual Perception |
| type | article |
| title | Evaluating interhemispheric connectivity during midline object recognition using EEG |
| biblio.issue | 8 |
| biblio.volume | 17 |
| biblio.last_page | e0270949 |
| biblio.first_page | e0270949 |
| topics[0].id | https://openalex.org/T10429 |
| topics[0].field.id | https://openalex.org/fields/28 |
| topics[0].field.display_name | Neuroscience |
| topics[0].score | 0.9991000294685364 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2805 |
| topics[0].subfield.display_name | Cognitive Neuroscience |
| topics[0].display_name | EEG and Brain-Computer Interfaces |
| topics[1].id | https://openalex.org/T10581 |
| topics[1].field.id | https://openalex.org/fields/28 |
| topics[1].field.display_name | Neuroscience |
| topics[1].score | 0.9987999796867371 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2805 |
| topics[1].subfield.display_name | Cognitive Neuroscience |
| topics[1].display_name | Neural dynamics and brain function |
| topics[2].id | https://openalex.org/T10042 |
| topics[2].field.id | https://openalex.org/fields/28 |
| topics[2].field.display_name | Neuroscience |
| topics[2].score | 0.9975000023841858 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2805 |
| topics[2].subfield.display_name | Cognitive Neuroscience |
| topics[2].display_name | Neural and Behavioral Psychology Studies |
| is_xpac | False |
| apc_list.value | 1805 |
| apc_list.currency | USD |
| apc_list.value_usd | 1805 |
| apc_paid.value | 1805 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 1805 |
| concepts[0].id | https://openalex.org/C522805319 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7303204536437988 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q179965 |
| concepts[0].display_name | Electroencephalography |
| concepts[1].id | https://openalex.org/C2781181686 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6239612698554993 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q4226068 |
| concepts[1].display_name | Coherence (philosophical gambling strategy) |
| concepts[2].id | https://openalex.org/C154945302 |
| concepts[2].level | 1 |
| concepts[2].score | 0.5687088966369629 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[2].display_name | Artificial intelligence |
| concepts[3].id | https://openalex.org/C2781162219 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5534350275993347 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q26250693 |
| concepts[3].display_name | Replicate |
| concepts[4].id | https://openalex.org/C2781238097 |
| concepts[4].level | 2 |
| concepts[4].score | 0.4932660460472107 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q175026 |
| concepts[4].display_name | Object (grammar) |
| concepts[5].id | https://openalex.org/C153180895 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4852123558521271 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q7148389 |
| concepts[5].display_name | Pattern recognition (psychology) |
| concepts[6].id | https://openalex.org/C41008148 |
| concepts[6].level | 0 |
| concepts[6].score | 0.47319552302360535 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[6].display_name | Computer science |
| concepts[7].id | https://openalex.org/C26760741 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4539870321750641 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q160402 |
| concepts[7].display_name | Perception |
| concepts[8].id | https://openalex.org/C64876066 |
| concepts[8].level | 3 |
| concepts[8].score | 0.45082637667655945 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q5141226 |
| concepts[8].display_name | Cognitive neuroscience of visual object recognition |
| concepts[9].id | https://openalex.org/C2780451532 |
| concepts[9].level | 2 |
| concepts[9].score | 0.4362357258796692 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q759676 |
| concepts[9].display_name | Task (project management) |
| concepts[10].id | https://openalex.org/C169760540 |
| concepts[10].level | 1 |
| concepts[10].score | 0.4360882043838501 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q207011 |
| concepts[10].display_name | Neuroscience |
| concepts[11].id | https://openalex.org/C15744967 |
| concepts[11].level | 0 |
| concepts[11].score | 0.3908567726612091 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q9418 |
| concepts[11].display_name | Psychology |
| concepts[12].id | https://openalex.org/C28490314 |
| concepts[12].level | 1 |
| concepts[12].score | 0.3903821110725403 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q189436 |
| concepts[12].display_name | Speech recognition |
| concepts[13].id | https://openalex.org/C46312422 |
| concepts[13].level | 1 |
| concepts[13].score | 0.33924463391304016 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q11024 |
| concepts[13].display_name | Communication |
| concepts[14].id | https://openalex.org/C31972630 |
| concepts[14].level | 1 |
| concepts[14].score | 0.33275532722473145 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q844240 |
| concepts[14].display_name | Computer vision |
| concepts[15].id | https://openalex.org/C121332964 |
| concepts[15].level | 0 |
| concepts[15].score | 0.19434767961502075 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[15].display_name | Physics |
| concepts[16].id | https://openalex.org/C33923547 |
| concepts[16].level | 0 |
| concepts[16].score | 0.1177482008934021 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[16].display_name | Mathematics |
| concepts[17].id | https://openalex.org/C162324750 |
| concepts[17].level | 0 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[17].display_name | Economics |
| concepts[18].id | https://openalex.org/C62520636 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[18].display_name | Quantum mechanics |
| concepts[19].id | https://openalex.org/C105795698 |
| concepts[19].level | 1 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[19].display_name | Statistics |
| concepts[20].id | https://openalex.org/C187736073 |
| concepts[20].level | 1 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q2920921 |
| concepts[20].display_name | Management |
| keywords[0].id | https://openalex.org/keywords/electroencephalography |
| keywords[0].score | 0.7303204536437988 |
| keywords[0].display_name | Electroencephalography |
| keywords[1].id | https://openalex.org/keywords/coherence |
| keywords[1].score | 0.6239612698554993 |
| keywords[1].display_name | Coherence (philosophical gambling strategy) |
| keywords[2].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[2].score | 0.5687088966369629 |
| keywords[2].display_name | Artificial intelligence |
| keywords[3].id | https://openalex.org/keywords/replicate |
| keywords[3].score | 0.5534350275993347 |
| keywords[3].display_name | Replicate |
| keywords[4].id | https://openalex.org/keywords/object |
| keywords[4].score | 0.4932660460472107 |
| keywords[4].display_name | Object (grammar) |
| keywords[5].id | https://openalex.org/keywords/pattern-recognition |
| keywords[5].score | 0.4852123558521271 |
| keywords[5].display_name | Pattern recognition (psychology) |
| keywords[6].id | https://openalex.org/keywords/computer-science |
| keywords[6].score | 0.47319552302360535 |
| keywords[6].display_name | Computer science |
| keywords[7].id | https://openalex.org/keywords/perception |
| keywords[7].score | 0.4539870321750641 |
| keywords[7].display_name | Perception |
| keywords[8].id | https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition |
| keywords[8].score | 0.45082637667655945 |
| keywords[8].display_name | Cognitive neuroscience of visual object recognition |
| keywords[9].id | https://openalex.org/keywords/task |
| keywords[9].score | 0.4362357258796692 |
| keywords[9].display_name | Task (project management) |
| keywords[10].id | https://openalex.org/keywords/neuroscience |
| keywords[10].score | 0.4360882043838501 |
| keywords[10].display_name | Neuroscience |
| keywords[11].id | https://openalex.org/keywords/psychology |
| keywords[11].score | 0.3908567726612091 |
| keywords[11].display_name | Psychology |
| keywords[12].id | https://openalex.org/keywords/speech-recognition |
| keywords[12].score | 0.3903821110725403 |
| keywords[12].display_name | Speech recognition |
| keywords[13].id | https://openalex.org/keywords/communication |
| keywords[13].score | 0.33924463391304016 |
| keywords[13].display_name | Communication |
| keywords[14].id | https://openalex.org/keywords/computer-vision |
| keywords[14].score | 0.33275532722473145 |
| keywords[14].display_name | Computer vision |
| keywords[15].id | https://openalex.org/keywords/physics |
| keywords[15].score | 0.19434767961502075 |
| keywords[15].display_name | Physics |
| keywords[16].id | https://openalex.org/keywords/mathematics |
| keywords[16].score | 0.1177482008934021 |
| keywords[16].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.1371/journal.pone.0270949 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S202381698 |
| locations[0].source.issn | 1932-6203 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1932-6203 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | PLoS ONE |
| locations[0].source.host_organization | https://openalex.org/P4310315706 |
| locations[0].source.host_organization_name | Public Library of Science |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310315706 |
| locations[0].source.host_organization_lineage_names | Public Library of Science |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0270949&type=printable |
| 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 | PLOS ONE |
| locations[0].landing_page_url | https://doi.org/10.1371/journal.pone.0270949 |
| locations[1].id | pmid:36026515 |
| 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 | PloS one |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/36026515 |
| locations[2].id | pmh:oai:doaj.org/article:586a8c6469fd4b0c9749d2d6080e3c14 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306401280 |
| 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 | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | cc-by-sa |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | https://openalex.org/licenses/cc-by-sa |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | PLoS ONE, Vol 17, Iss 8, p e0270949 (2022) |
| locations[2].landing_page_url | https://doaj.org/article/586a8c6469fd4b0c9749d2d6080e3c14 |
| locations[3].id | pmh:oai:pubmedcentral.nih.gov:9417031 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S2764455111 |
| 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 | PubMed Central |
| locations[3].source.host_organization | https://openalex.org/I1299303238 |
| locations[3].source.host_organization_name | National Institutes of Health |
| locations[3].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[3].license | other-oa |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/other-oa |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | PLoS One |
| locations[3].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/9417031 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5028799405 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-3582-5574 |
| authorships[0].author.display_name | Anwesha Das |
| authorships[0].countries | IN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I85332549 |
| authorships[0].affiliations[0].raw_affiliation_string | Human Motor Neurophysiology and Neuromodulation Lab, National Brain Research Centre (NBRC), Manesar, Haryana, India |
| authorships[0].institutions[0].id | https://openalex.org/I85332549 |
| authorships[0].institutions[0].ror | https://ror.org/022swbj46 |
| authorships[0].institutions[0].type | government |
| authorships[0].institutions[0].lineage | https://openalex.org/I2799351866, https://openalex.org/I4210134808, https://openalex.org/I85332549 |
| authorships[0].institutions[0].country_code | IN |
| authorships[0].institutions[0].display_name | National Brain Research Centre |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Anwesha Das |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Human Motor Neurophysiology and Neuromodulation Lab, National Brain Research Centre (NBRC), Manesar, Haryana, India |
| authorships[1].author.id | https://openalex.org/A5004610876 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-4308-2811 |
| authorships[1].author.display_name | Alexandra Mandel |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I1299303238, https://openalex.org/I4210110767 |
| authorships[1].affiliations[0].raw_affiliation_string | Human Motor Control Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health, Bethesda, Maryland, United States of America |
| authorships[1].affiliations[1].institution_ids | https://openalex.org/I193531525 |
| authorships[1].affiliations[1].raw_affiliation_string | The George Washington University, Washington, DC, United States of America |
| authorships[1].institutions[0].id | https://openalex.org/I193531525 |
| authorships[1].institutions[0].ror | https://ror.org/00y4zzh67 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I193531525 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | George Washington University |
| authorships[1].institutions[1].id | https://openalex.org/I4210110767 |
| authorships[1].institutions[1].ror | https://ror.org/01s5ya894 |
| authorships[1].institutions[1].type | facility |
| authorships[1].institutions[1].lineage | https://openalex.org/I1299022934, https://openalex.org/I1299303238, https://openalex.org/I4210110767 |
| authorships[1].institutions[1].country_code | US |
| authorships[1].institutions[1].display_name | National Institute of Neurological Disorders and Stroke |
| authorships[1].institutions[2].id | https://openalex.org/I1299303238 |
| authorships[1].institutions[2].ror | https://ror.org/01cwqze88 |
| authorships[1].institutions[2].type | government |
| authorships[1].institutions[2].lineage | https://openalex.org/I1299022934, https://openalex.org/I1299303238 |
| authorships[1].institutions[2].country_code | US |
| authorships[1].institutions[2].display_name | National Institutes of Health |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Alexandra Mandel |
| authorships[1].is_corresponding | True |
| authorships[1].raw_affiliation_strings | Human Motor Control Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health, Bethesda, Maryland, United States of America, The George Washington University, Washington, DC, United States of America |
| authorships[2].author.id | https://openalex.org/A5010002316 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-3547-0718 |
| authorships[2].author.display_name | Hitoshi Shitara |
| authorships[2].countries | JP, US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I1299303238, https://openalex.org/I4210110767 |
| authorships[2].affiliations[0].raw_affiliation_string | Human Motor Control Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health, Bethesda, Maryland, United States of America |
| authorships[2].affiliations[1].institution_ids | https://openalex.org/I165735259 |
| authorships[2].affiliations[1].raw_affiliation_string | Department of Orthopaedic Surgery, Gunma University Graduate School of Medicine, Tokyo, Japan |
| authorships[2].institutions[0].id | https://openalex.org/I165735259 |
| authorships[2].institutions[0].ror | https://ror.org/046fm7598 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I165735259 |
| authorships[2].institutions[0].country_code | JP |
| authorships[2].institutions[0].display_name | Gunma University |
| authorships[2].institutions[1].id | https://openalex.org/I4210110767 |
| authorships[2].institutions[1].ror | https://ror.org/01s5ya894 |
| authorships[2].institutions[1].type | facility |
| authorships[2].institutions[1].lineage | https://openalex.org/I1299022934, https://openalex.org/I1299303238, https://openalex.org/I4210110767 |
| authorships[2].institutions[1].country_code | US |
| authorships[2].institutions[1].display_name | National Institute of Neurological Disorders and Stroke |
| authorships[2].institutions[2].id | https://openalex.org/I1299303238 |
| authorships[2].institutions[2].ror | https://ror.org/01cwqze88 |
| authorships[2].institutions[2].type | government |
| authorships[2].institutions[2].lineage | https://openalex.org/I1299022934, https://openalex.org/I1299303238 |
| authorships[2].institutions[2].country_code | US |
| authorships[2].institutions[2].display_name | National Institutes of Health |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Hitoshi Shitara |
| authorships[2].is_corresponding | True |
| authorships[2].raw_affiliation_strings | Department of Orthopaedic Surgery, Gunma University Graduate School of Medicine, Tokyo, Japan, Human Motor Control Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health, Bethesda, Maryland, United States of America |
| authorships[3].author.id | https://openalex.org/A5090133744 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-1160-4830 |
| authorships[3].author.display_name | Traian Popa |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I1299303238, https://openalex.org/I4210110767 |
| authorships[3].affiliations[0].raw_affiliation_string | Human Motor Control Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health, Bethesda, Maryland, United States of America |
| authorships[3].institutions[0].id | https://openalex.org/I4210110767 |
| authorships[3].institutions[0].ror | https://ror.org/01s5ya894 |
| authorships[3].institutions[0].type | facility |
| authorships[3].institutions[0].lineage | https://openalex.org/I1299022934, https://openalex.org/I1299303238, https://openalex.org/I4210110767 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | National Institute of Neurological Disorders and Stroke |
| authorships[3].institutions[1].id | https://openalex.org/I1299303238 |
| authorships[3].institutions[1].ror | https://ror.org/01cwqze88 |
| authorships[3].institutions[1].type | government |
| authorships[3].institutions[1].lineage | https://openalex.org/I1299022934, https://openalex.org/I1299303238 |
| authorships[3].institutions[1].country_code | US |
| authorships[3].institutions[1].display_name | National Institutes of Health |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Traian Popa |
| authorships[3].is_corresponding | True |
| authorships[3].raw_affiliation_strings | Human Motor Control Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health, Bethesda, Maryland, United States of America |
| authorships[4].author.id | https://openalex.org/A5091650785 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-5501-5918 |
| authorships[4].author.display_name | Silvina G. Horovitz |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I1299303238, https://openalex.org/I4210110767 |
| authorships[4].affiliations[0].raw_affiliation_string | Human Motor Control Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health, Bethesda, Maryland, United States of America |
| authorships[4].institutions[0].id | https://openalex.org/I4210110767 |
| authorships[4].institutions[0].ror | https://ror.org/01s5ya894 |
| authorships[4].institutions[0].type | facility |
| authorships[4].institutions[0].lineage | https://openalex.org/I1299022934, https://openalex.org/I1299303238, https://openalex.org/I4210110767 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | National Institute of Neurological Disorders and Stroke |
| authorships[4].institutions[1].id | https://openalex.org/I1299303238 |
| authorships[4].institutions[1].ror | https://ror.org/01cwqze88 |
| authorships[4].institutions[1].type | government |
| authorships[4].institutions[1].lineage | https://openalex.org/I1299022934, https://openalex.org/I1299303238 |
| authorships[4].institutions[1].country_code | US |
| authorships[4].institutions[1].display_name | National Institutes of Health |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Silvina G. Horovitz |
| authorships[4].is_corresponding | True |
| authorships[4].raw_affiliation_strings | Human Motor Control Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health, Bethesda, Maryland, United States of America |
| authorships[5].author.id | https://openalex.org/A5005566965 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-3180-6811 |
| authorships[5].author.display_name | Mark Hallett |
| authorships[5].countries | US |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I1299303238, https://openalex.org/I4210110767 |
| authorships[5].affiliations[0].raw_affiliation_string | Human Motor Control Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health, Bethesda, Maryland, United States of America |
| authorships[5].institutions[0].id | https://openalex.org/I4210110767 |
| authorships[5].institutions[0].ror | https://ror.org/01s5ya894 |
| authorships[5].institutions[0].type | facility |
| authorships[5].institutions[0].lineage | https://openalex.org/I1299022934, https://openalex.org/I1299303238, https://openalex.org/I4210110767 |
| authorships[5].institutions[0].country_code | US |
| authorships[5].institutions[0].display_name | National Institute of Neurological Disorders and Stroke |
| authorships[5].institutions[1].id | https://openalex.org/I1299303238 |
| authorships[5].institutions[1].ror | https://ror.org/01cwqze88 |
| authorships[5].institutions[1].type | government |
| authorships[5].institutions[1].lineage | https://openalex.org/I1299022934, https://openalex.org/I1299303238 |
| authorships[5].institutions[1].country_code | US |
| authorships[5].institutions[1].display_name | National Institutes of Health |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Mark Hallett |
| authorships[5].is_corresponding | True |
| authorships[5].raw_affiliation_strings | Human Motor Control Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health, Bethesda, Maryland, United States of America |
| authorships[6].author.id | https://openalex.org/A5076272922 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-4834-3016 |
| authorships[6].author.display_name | Nivethida Thirugnanasambandam |
| authorships[6].countries | IN, US |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I1299303238, https://openalex.org/I4210110767 |
| authorships[6].affiliations[0].raw_affiliation_string | Human Motor Control Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health, Bethesda, Maryland, United States of America |
| authorships[6].affiliations[1].institution_ids | https://openalex.org/I85332549 |
| authorships[6].affiliations[1].raw_affiliation_string | Human Motor Neurophysiology and Neuromodulation Lab, National Brain Research Centre (NBRC), Manesar, Haryana, India |
| authorships[6].institutions[0].id | https://openalex.org/I85332549 |
| authorships[6].institutions[0].ror | https://ror.org/022swbj46 |
| authorships[6].institutions[0].type | government |
| authorships[6].institutions[0].lineage | https://openalex.org/I2799351866, https://openalex.org/I4210134808, https://openalex.org/I85332549 |
| authorships[6].institutions[0].country_code | IN |
| authorships[6].institutions[0].display_name | National Brain Research Centre |
| authorships[6].institutions[1].id | https://openalex.org/I4210110767 |
| authorships[6].institutions[1].ror | https://ror.org/01s5ya894 |
| authorships[6].institutions[1].type | facility |
| authorships[6].institutions[1].lineage | https://openalex.org/I1299022934, https://openalex.org/I1299303238, https://openalex.org/I4210110767 |
| authorships[6].institutions[1].country_code | US |
| authorships[6].institutions[1].display_name | National Institute of Neurological Disorders and Stroke |
| authorships[6].institutions[2].id | https://openalex.org/I1299303238 |
| authorships[6].institutions[2].ror | https://ror.org/01cwqze88 |
| authorships[6].institutions[2].type | government |
| authorships[6].institutions[2].lineage | https://openalex.org/I1299022934, https://openalex.org/I1299303238 |
| authorships[6].institutions[2].country_code | US |
| authorships[6].institutions[2].display_name | National Institutes of Health |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Nivethida Thirugnanasambandam |
| authorships[6].is_corresponding | True |
| authorships[6].raw_affiliation_strings | Human Motor Control Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health, Bethesda, Maryland, United States of America, Human Motor Neurophysiology and Neuromodulation Lab, National Brain Research Centre (NBRC), Manesar, Haryana, India |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0270949&type=printable |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Evaluating interhemispheric connectivity during midline object recognition using EEG |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10429 |
| primary_topic.field.id | https://openalex.org/fields/28 |
| primary_topic.field.display_name | Neuroscience |
| primary_topic.score | 0.9991000294685364 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2805 |
| primary_topic.subfield.display_name | Cognitive Neuroscience |
| primary_topic.display_name | EEG and Brain-Computer Interfaces |
| related_works | https://openalex.org/W4254851101, https://openalex.org/W3171007296, https://openalex.org/W22115721, https://openalex.org/W2211931904, https://openalex.org/W2321234655, https://openalex.org/W2065444835, https://openalex.org/W2470062578, https://openalex.org/W2952773340, https://openalex.org/W2981861370, https://openalex.org/W4229503580 |
| cited_by_count | 5 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 3 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 1 |
| locations_count | 4 |
| best_oa_location.id | doi:10.1371/journal.pone.0270949 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S202381698 |
| best_oa_location.source.issn | 1932-6203 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1932-6203 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | PLoS ONE |
| best_oa_location.source.host_organization | https://openalex.org/P4310315706 |
| best_oa_location.source.host_organization_name | Public Library of Science |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310315706 |
| best_oa_location.source.host_organization_lineage_names | Public Library of Science |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0270949&type=printable |
| 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 | PLOS ONE |
| best_oa_location.landing_page_url | https://doi.org/10.1371/journal.pone.0270949 |
| primary_location.id | doi:10.1371/journal.pone.0270949 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S202381698 |
| primary_location.source.issn | 1932-6203 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1932-6203 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | PLoS ONE |
| primary_location.source.host_organization | https://openalex.org/P4310315706 |
| primary_location.source.host_organization_name | Public Library of Science |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310315706 |
| primary_location.source.host_organization_lineage_names | Public Library of Science |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0270949&type=printable |
| 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 | PLOS ONE |
| primary_location.landing_page_url | https://doi.org/10.1371/journal.pone.0270949 |
| publication_date | 2022-08-26 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W2066877541, https://openalex.org/W2084009670, https://openalex.org/W1543794893, https://openalex.org/W2008711577, https://openalex.org/W2033965963, https://openalex.org/W2104731571, https://openalex.org/W2157084876, https://openalex.org/W2024415031, https://openalex.org/W2172513721, https://openalex.org/W2009149272, https://openalex.org/W1622641210, https://openalex.org/W24973738, https://openalex.org/W2556806676, https://openalex.org/W2136022845, https://openalex.org/W2078056543, https://openalex.org/W2014502281, https://openalex.org/W2166073443, https://openalex.org/W6678052572, https://openalex.org/W2003209004, https://openalex.org/W2077491345, https://openalex.org/W2962954129, https://openalex.org/W4230920194, https://openalex.org/W2145309136, https://openalex.org/W2108382117, https://openalex.org/W2013150886, https://openalex.org/W2113114335, https://openalex.org/W2066400502, https://openalex.org/W2002156570, https://openalex.org/W2135894974, https://openalex.org/W2113110023, https://openalex.org/W2101178561, https://openalex.org/W2951463227, https://openalex.org/W2153208799, https://openalex.org/W3028884899, https://openalex.org/W2954192080, https://openalex.org/W2956011950, https://openalex.org/W2079733958, https://openalex.org/W2087364779, https://openalex.org/W2052007540, https://openalex.org/W2588748553, https://openalex.org/W6631453609, https://openalex.org/W2076715242, https://openalex.org/W2035075416, https://openalex.org/W3031819399, https://openalex.org/W1993169822, https://openalex.org/W2157366341, https://openalex.org/W2066000656, https://openalex.org/W2091040585, https://openalex.org/W2990213300, https://openalex.org/W6605533284, https://openalex.org/W2043428207, https://openalex.org/W2025797225, https://openalex.org/W352843105, https://openalex.org/W2061137119, https://openalex.org/W135914324, https://openalex.org/W2033941024, https://openalex.org/W2045334960, https://openalex.org/W2105435743, https://openalex.org/W2170047809, https://openalex.org/W2033713584, https://openalex.org/W2166199436, https://openalex.org/W2085493579, https://openalex.org/W2051765224, https://openalex.org/W2910288778, https://openalex.org/W2771823411, https://openalex.org/W2802863350, https://openalex.org/W3004896936, https://openalex.org/W2288470135, https://openalex.org/W3128747234, https://openalex.org/W2120025629, https://openalex.org/W206280282, https://openalex.org/W1523723941 |
| referenced_works_count | 72 |
| abstract_inverted_index.a | 47, 97 |
| abstract_inverted_index.11 | 84 |
| abstract_inverted_index.64 | 92 |
| abstract_inverted_index.In | 166 |
| abstract_inverted_index.We | 82 |
| abstract_inverted_index.an | 199 |
| abstract_inverted_index.as | 243, 245 |
| abstract_inverted_index.be | 213 |
| abstract_inverted_index.et | 66, 144 |
| abstract_inverted_index.in | 17, 40, 50, 55, 79, 108, 152, 175, 230 |
| abstract_inverted_index.is | 5, 205 |
| abstract_inverted_index.of | 20, 64, 142, 158, 178, 225, 241, 259 |
| abstract_inverted_index.on | 255 |
| abstract_inverted_index.to | 10, 60, 69, 125, 248 |
| abstract_inverted_index.we | 122, 135, 150, 170 |
| abstract_inverted_index.EEG | 30, 90, 233 |
| abstract_inverted_index.Our | 53 |
| abstract_inverted_index.The | 146, 223 |
| abstract_inverted_index.al. | 67, 145 |
| abstract_inverted_index.and | 25, 46, 68, 88, 104, 110, 194, 234, 238, 250 |
| abstract_inverted_index.are | 15 |
| abstract_inverted_index.for | 7, 215, 220 |
| abstract_inverted_index.may | 212 |
| abstract_inverted_index.not | 137 |
| abstract_inverted_index.our | 153, 252 |
| abstract_inverted_index.the | 18, 21, 56, 62, 127, 139, 156, 162, 167, 192, 208, 217, 226, 256 |
| abstract_inverted_index.two | 3 |
| abstract_inverted_index.was | 35, 59, 116 |
| abstract_inverted_index.Mima | 24, 65, 143 |
| abstract_inverted_index.able | 124 |
| abstract_inverted_index.band | 42 |
| abstract_inverted_index.even | 202 |
| abstract_inverted_index.from | 91 |
| abstract_inverted_index.left | 163, 193, 209 |
| abstract_inverted_index.lies | 229 |
| abstract_inverted_index.more | 236 |
| abstract_inverted_index.over | 161 |
| abstract_inverted_index.part | 177 |
| abstract_inverted_index.that | 31, 149, 201 |
| abstract_inverted_index.they | 95 |
| abstract_inverted_index.well | 244 |
| abstract_inverted_index.were | 106, 123 |
| abstract_inverted_index.when | 12 |
| abstract_inverted_index.with | 37, 131 |
| abstract_inverted_index.While | 121 |
| abstract_inverted_index.adult | 86 |
| abstract_inverted_index.alpha | 41, 128, 159, 168 |
| abstract_inverted_index.band, | 169 |
| abstract_inverted_index.basis | 258 |
| abstract_inverted_index.could | 136 |
| abstract_inverted_index.occur | 11 |
| abstract_inverted_index.power | 43, 103 |
| abstract_inverted_index.right | 195 |
| abstract_inverted_index.study | 58, 154, 228 |
| abstract_inverted_index.task. | 101 |
| abstract_inverted_index.there | 204 |
| abstract_inverted_index.using | 29, 118, 231 |
| abstract_inverted_index.while | 94 |
| abstract_inverted_index.(2001) | 27 |
| abstract_inverted_index.(alpha | 44 |
| abstract_inverted_index.during | 75, 184 |
| abstract_inverted_index.field. | 23 |
| abstract_inverted_index.neural | 257 |
| abstract_inverted_index.object | 33, 77, 99, 133, 185, 221, 261 |
| abstract_inverted_index.region | 211 |
| abstract_inverted_index.robust | 239 |
| abstract_inverted_index.sensor | 109 |
| abstract_inverted_index.showed | 28 |
| abstract_inverted_index.source | 80, 111, 157 |
| abstract_inverted_index.space. | 81 |
| abstract_inverted_index.though | 203 |
| abstract_inverted_index.visual | 13, 22 |
| abstract_inverted_index.Granger | 119, 188 |
| abstract_inverted_index.between | 2, 180, 191 |
| abstract_inverted_index.binding | 9 |
| abstract_inverted_index.crucial | 6, 214 |
| abstract_inverted_index.current | 57, 227, 253 |
| abstract_inverted_index.enhance | 251 |
| abstract_inverted_index.further | 70, 171 |
| abstract_inverted_index.healthy | 85 |
| abstract_inverted_index.insight | 200 |
| abstract_inverted_index.midline | 19, 32, 76, 98, 132, 260 |
| abstract_inverted_index.region. | 165 |
| abstract_inverted_index.regions | 183, 197 |
| abstract_inverted_index.results | 63, 141 |
| abstract_inverted_index.spaces. | 112 |
| abstract_inverted_index.stimuli | 14 |
| abstract_inverted_index.Finally, | 187 |
| abstract_inverted_index.Further, | 113 |
| abstract_inverted_index.analysis | 190, 247 |
| abstract_inverted_index.applying | 235 |
| abstract_inverted_index.approach | 148 |
| abstract_inverted_index.channels | 93 |
| abstract_inverted_index.decrease | 39 |
| abstract_inverted_index.employed | 151 |
| abstract_inverted_index.evaluate | 71 |
| abstract_inverted_index.increase | 49, 174 |
| abstract_inverted_index.measures | 240 |
| abstract_inverted_index.observed | 172 |
| abstract_inverted_index.provided | 198 |
| abstract_inverted_index.recorded | 89 |
| abstract_inverted_index.validate | 249 |
| abstract_inverted_index.bilateral | 181 |
| abstract_inverted_index.causality | 189 |
| abstract_inverted_index.coherence | 105, 140 |
| abstract_inverted_index.coherency | 179 |
| abstract_inverted_index.effective | 73, 114 |
| abstract_inverted_index.estimated | 107 |
| abstract_inverted_index.evaluated | 117 |
| abstract_inverted_index.imaginary | 176 |
| abstract_inverted_index.knowledge | 254 |
| abstract_inverted_index.localised | 155 |
| abstract_inverted_index.necessary | 219 |
| abstract_inverted_index.objective | 54 |
| abstract_inverted_index.performed | 96 |
| abstract_inverted_index.presented | 16 |
| abstract_inverted_index.recruited | 83 |
| abstract_inverted_index.replicate | 61, 126, 138 |
| abstract_inverted_index.transient | 48 |
| abstract_inverted_index.Functional | 0 |
| abstract_inverted_index.associated | 36, 130 |
| abstract_inverted_index.causality. | 120 |
| abstract_inverted_index.coherence. | 52 |
| abstract_inverted_index.colleagues | 26 |
| abstract_inverted_index.perceptual | 8 |
| abstract_inverted_index.volunteers | 87 |
| abstract_inverted_index.appropriate | 237 |
| abstract_inverted_index.data-driven | 147 |
| abstract_inverted_index.hemispheres | 4 |
| abstract_inverted_index.information | 218 |
| abstract_inverted_index.integrating | 216 |
| abstract_inverted_index.integration | 1 |
| abstract_inverted_index.recognition | 34, 78, 100 |
| abstract_inverted_index.significant | 173 |
| abstract_inverted_index.statistical | 246 |
| abstract_inverted_index.Task-related | 102 |
| abstract_inverted_index.connectivity | 74, 115, 242 |
| abstract_inverted_index.high-density | 232 |
| abstract_inverted_index.interaction, | 207 |
| abstract_inverted_index.recognition, | 134 |
| abstract_inverted_index.recognition. | 186, 222, 262 |
| abstract_inverted_index.significance | 224 |
| abstract_inverted_index.task-related | 38 |
| abstract_inverted_index.bidirectional | 206 |
| abstract_inverted_index.interhemispheric | 51, 72 |
| abstract_inverted_index.desynchronisation | 129, 160 |
| abstract_inverted_index.occipito-temporal | 164, 182, 196, 210 |
| abstract_inverted_index.desynchronisation) | 45 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5091650785, https://openalex.org/A5005566965, https://openalex.org/A5090133744, https://openalex.org/A5010002316, https://openalex.org/A5028799405, https://openalex.org/A5004610876, https://openalex.org/A5076272922 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I1299303238, https://openalex.org/I165735259, https://openalex.org/I193531525, https://openalex.org/I4210110767, https://openalex.org/I85332549 |
| citation_normalized_percentile.value | 0.65529966 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |