Bridging brain and cognition: A multilayer network analysis of brain structural covariance and general intelligence in a developmental sample of struggling learners Article Swipe
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1101/2020.11.15.383869
Network analytic methods that are ubiquitous in other areas, such as systems neuroscience, have recently been used to test network theories in psychology, including intelligence research. The network or mutualism theory of intelligence proposes that the statistical associations among cognitive abilities (e.g., specific abilities such as vocabulary or memory) stem from causal relations among them throughout development. In this study, we used network models (specifically LASSO) of cognitive abilities and brain structural covariance (grey and white matter) to simultaneously model brain-behavior relationships essential for general intelligence in a large (behavioral, N=805; cortical volume, N=246; fractional anisotropy, N=165), developmental (ages 5-18) cohort of struggling learners (CALM). We found that mostly positive, small partial correlations pervade our cognitive, neural, and multilayer networks. Moreover, using community detection (Walktrap algorithm) and calculating node centrality (absolute strength and bridge strength), we found convergent evidence that subsets of both cognitive and neural nodes play an intermediary role ‘between’ brain and behavior. We discuss implications and possible avenues for future studies.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2020.11.15.383869
- https://www.biorxiv.org/content/biorxiv/early/2021/01/28/2020.11.15.383869.full.pdf
- OA Status
- green
- Cited By
- 5
- References
- 90
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3107876248
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3107876248Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2020.11.15.383869Digital Object Identifier
- Title
-
Bridging brain and cognition: A multilayer network analysis of brain structural covariance and general intelligence in a developmental sample of struggling learnersWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-11-17Full publication date if available
- Authors
-
Ivan L. Simpson-Kent, Eiko I. Fried, Danyal Akarca, Silvana Mareva, Edward T. Bullmore, Rogier KievitList of authors in order
- Landing page
-
https://doi.org/10.1101/2020.11.15.383869Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2021/01/28/2020.11.15.383869.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.biorxiv.org/content/biorxiv/early/2021/01/28/2020.11.15.383869.full.pdfDirect OA link when available
- Concepts
-
Cognition, Psychology, Cognitive psychology, Centrality, Structural equation modeling, Developmental psychology, Computer science, Neuroscience, Machine learning, Mathematics, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 2, 2023: 2, 2020: 1Per-year citation counts (last 5 years)
- References (count)
-
90Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3107876248 |
|---|---|
| doi | https://doi.org/10.1101/2020.11.15.383869 |
| ids.doi | https://doi.org/10.17863/cam.73764 |
| ids.mag | 3107876248 |
| ids.openalex | https://openalex.org/W3107876248 |
| fwci | 0.37657853 |
| type | preprint |
| title | Bridging brain and cognition: A multilayer network analysis of brain structural covariance and general intelligence in a developmental sample of struggling learners |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10241 |
| topics[0].field.id | https://openalex.org/fields/28 |
| topics[0].field.display_name | Neuroscience |
| topics[0].score | 0.9998000264167786 |
| 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 | Functional Brain Connectivity Studies |
| topics[1].id | https://openalex.org/T13283 |
| topics[1].field.id | https://openalex.org/fields/32 |
| topics[1].field.display_name | Psychology |
| topics[1].score | 0.9994999766349792 |
| topics[1].domain.id | https://openalex.org/domains/2 |
| topics[1].domain.display_name | Social Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/3205 |
| topics[1].subfield.display_name | Experimental and Cognitive Psychology |
| topics[1].display_name | Mental Health Research Topics |
| topics[2].id | https://openalex.org/T10887 |
| topics[2].field.id | https://openalex.org/fields/13 |
| topics[2].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[2].score | 0.9778000116348267 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1312 |
| topics[2].subfield.display_name | Molecular Biology |
| topics[2].display_name | Bioinformatics and Genomic Networks |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C169900460 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6572299599647522 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q2200417 |
| concepts[0].display_name | Cognition |
| concepts[1].id | https://openalex.org/C15744967 |
| concepts[1].level | 0 |
| concepts[1].score | 0.6360094547271729 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q9418 |
| concepts[1].display_name | Psychology |
| concepts[2].id | https://openalex.org/C180747234 |
| concepts[2].level | 1 |
| concepts[2].score | 0.5012180805206299 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q23373 |
| concepts[2].display_name | Cognitive psychology |
| concepts[3].id | https://openalex.org/C53811970 |
| concepts[3].level | 2 |
| concepts[3].score | 0.4438120424747467 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q5062194 |
| concepts[3].display_name | Centrality |
| concepts[4].id | https://openalex.org/C71104824 |
| concepts[4].level | 2 |
| concepts[4].score | 0.4146222174167633 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q1476639 |
| concepts[4].display_name | Structural equation modeling |
| concepts[5].id | https://openalex.org/C138496976 |
| concepts[5].level | 1 |
| concepts[5].score | 0.35530707240104675 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q175002 |
| concepts[5].display_name | Developmental psychology |
| concepts[6].id | https://openalex.org/C41008148 |
| concepts[6].level | 0 |
| concepts[6].score | 0.23755693435668945 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[6].display_name | Computer science |
| concepts[7].id | https://openalex.org/C169760540 |
| concepts[7].level | 1 |
| concepts[7].score | 0.20831874012947083 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q207011 |
| concepts[7].display_name | Neuroscience |
| concepts[8].id | https://openalex.org/C119857082 |
| concepts[8].level | 1 |
| concepts[8].score | 0.16858673095703125 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[8].display_name | Machine learning |
| concepts[9].id | https://openalex.org/C33923547 |
| concepts[9].level | 0 |
| concepts[9].score | 0.11609616875648499 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[9].display_name | Mathematics |
| concepts[10].id | https://openalex.org/C114614502 |
| concepts[10].level | 1 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q76592 |
| concepts[10].display_name | Combinatorics |
| keywords[0].id | https://openalex.org/keywords/cognition |
| keywords[0].score | 0.6572299599647522 |
| keywords[0].display_name | Cognition |
| keywords[1].id | https://openalex.org/keywords/psychology |
| keywords[1].score | 0.6360094547271729 |
| keywords[1].display_name | Psychology |
| keywords[2].id | https://openalex.org/keywords/cognitive-psychology |
| keywords[2].score | 0.5012180805206299 |
| keywords[2].display_name | Cognitive psychology |
| keywords[3].id | https://openalex.org/keywords/centrality |
| keywords[3].score | 0.4438120424747467 |
| keywords[3].display_name | Centrality |
| keywords[4].id | https://openalex.org/keywords/structural-equation-modeling |
| keywords[4].score | 0.4146222174167633 |
| keywords[4].display_name | Structural equation modeling |
| keywords[5].id | https://openalex.org/keywords/developmental-psychology |
| keywords[5].score | 0.35530707240104675 |
| keywords[5].display_name | Developmental psychology |
| keywords[6].id | https://openalex.org/keywords/computer-science |
| keywords[6].score | 0.23755693435668945 |
| keywords[6].display_name | Computer science |
| keywords[7].id | https://openalex.org/keywords/neuroscience |
| keywords[7].score | 0.20831874012947083 |
| keywords[7].display_name | Neuroscience |
| keywords[8].id | https://openalex.org/keywords/machine-learning |
| keywords[8].score | 0.16858673095703125 |
| keywords[8].display_name | Machine learning |
| keywords[9].id | https://openalex.org/keywords/mathematics |
| keywords[9].score | 0.11609616875648499 |
| keywords[9].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.1101/2020.11.15.383869 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306402567 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| locations[0].source.host_organization | https://openalex.org/I2750212522 |
| locations[0].source.host_organization_name | Cold Spring Harbor Laboratory |
| locations[0].source.host_organization_lineage | https://openalex.org/I2750212522 |
| locations[0].license | cc-by-nc |
| locations[0].pdf_url | https://www.biorxiv.org/content/biorxiv/early/2021/01/28/2020.11.15.383869.full.pdf |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.1101/2020.11.15.383869 |
| locations[1].id | pmh:oai:www.repository.cam.ac.uk:1810/326308 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306401776 |
| 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 | Apollo (University of Cambridge) |
| locations[1].source.host_organization | https://openalex.org/I241749 |
| locations[1].source.host_organization_name | University of Cambridge |
| locations[1].source.host_organization_lineage | https://openalex.org/I241749 |
| locations[1].license | cc-by |
| locations[1].pdf_url | https://www.repository.cam.ac.uk/handle/1810/326308 |
| locations[1].version | submittedVersion |
| locations[1].raw_type | Article |
| locations[1].license_id | https://openalex.org/licenses/cc-by |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | nlmid: 101635592 |
| locations[1].landing_page_url | https://www.repository.cam.ac.uk/handle/1810/326308 |
| locations[2].id | pmh:oai:www.repository.cam.ac.uk:1810/325348 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306401776 |
| 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 | Apollo (University of Cambridge) |
| locations[2].source.host_organization | https://openalex.org/I241749 |
| locations[2].source.host_organization_name | University of Cambridge |
| locations[2].source.host_organization_lineage | https://openalex.org/I241749 |
| locations[2].license | cc-by |
| locations[2].pdf_url | https://www.repository.cam.ac.uk/handle/1810/325348 |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Article |
| locations[2].license_id | https://openalex.org/licenses/cc-by |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | |
| locations[2].landing_page_url | https://www.repository.cam.ac.uk/handle/1810/325348 |
| locations[3].id | pmh:oai:www.repository.cam.ac.uk:1810/323986 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S4306401776 |
| 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 | Apollo (University of Cambridge) |
| locations[3].source.host_organization | https://openalex.org/I241749 |
| locations[3].source.host_organization_name | University of Cambridge |
| locations[3].source.host_organization_lineage | https://openalex.org/I241749 |
| locations[3].license | cc-by |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Article |
| locations[3].license_id | https://openalex.org/licenses/cc-by |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | |
| locations[3].landing_page_url | https://www.repository.cam.ac.uk/handle/1810/323986 |
| locations[4].id | doi:10.17863/cam.72805 |
| locations[4].is_oa | True |
| locations[4].source.id | https://openalex.org/S7407050737 |
| locations[4].source.type | repository |
| locations[4].source.is_oa | False |
| locations[4].source.issn_l | |
| locations[4].source.is_core | False |
| locations[4].source.is_in_doaj | False |
| locations[4].source.display_name | Apollo |
| locations[4].source.host_organization | |
| locations[4].source.host_organization_name | |
| locations[4].source.host_organization_lineage | |
| locations[4].license | cc-by |
| locations[4].pdf_url | |
| locations[4].version | |
| locations[4].raw_type | article-journal |
| locations[4].license_id | https://openalex.org/licenses/cc-by |
| locations[4].is_accepted | False |
| locations[4].is_published | |
| locations[4].raw_source_name | |
| locations[4].landing_page_url | https://doi.org/10.17863/cam.72805 |
| locations[5].id | doi:10.17863/cam.73764 |
| locations[5].is_oa | True |
| locations[5].source.id | https://openalex.org/S7407050737 |
| locations[5].source.type | repository |
| locations[5].source.is_oa | False |
| locations[5].source.issn_l | |
| locations[5].source.is_core | False |
| locations[5].source.is_in_doaj | False |
| locations[5].source.display_name | Apollo |
| locations[5].source.host_organization | |
| locations[5].source.host_organization_name | |
| locations[5].source.host_organization_lineage | |
| locations[5].license | cc-by |
| locations[5].pdf_url | |
| locations[5].version | |
| locations[5].raw_type | article-journal |
| locations[5].license_id | https://openalex.org/licenses/cc-by |
| locations[5].is_accepted | False |
| locations[5].is_published | |
| locations[5].raw_source_name | |
| locations[5].landing_page_url | https://doi.org/10.17863/cam.73764 |
| locations[6].id | doi:10.17863/cam.71448 |
| locations[6].is_oa | True |
| locations[6].source.id | https://openalex.org/S7407050737 |
| locations[6].source.type | repository |
| locations[6].source.is_oa | False |
| locations[6].source.issn_l | |
| locations[6].source.is_core | False |
| locations[6].source.is_in_doaj | False |
| locations[6].source.display_name | Apollo |
| locations[6].source.host_organization | |
| locations[6].source.host_organization_name | |
| locations[6].source.host_organization_lineage | |
| locations[6].license | |
| locations[6].pdf_url | |
| locations[6].version | |
| locations[6].raw_type | article-journal |
| locations[6].license_id | |
| locations[6].is_accepted | False |
| locations[6].is_published | |
| locations[6].raw_source_name | |
| locations[6].landing_page_url | https://doi.org/10.17863/cam.71448 |
| indexed_in | crossref, datacite |
| authorships[0].author.id | https://openalex.org/A5030135474 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-9538-702X |
| authorships[0].author.display_name | Ivan L. Simpson-Kent |
| authorships[0].countries | GB |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I192597271, https://openalex.org/I241749 |
| authorships[0].affiliations[0].raw_affiliation_string | MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, Cambridgeshire, CB2 7EF, UK |
| authorships[0].institutions[0].id | https://openalex.org/I192597271 |
| authorships[0].institutions[0].ror | https://ror.org/055bpw879 |
| authorships[0].institutions[0].type | facility |
| authorships[0].institutions[0].lineage | https://openalex.org/I192597271, https://openalex.org/I241749, https://openalex.org/I4210087105, https://openalex.org/I90344618 |
| authorships[0].institutions[0].country_code | GB |
| authorships[0].institutions[0].display_name | MRC Cognition and Brain Sciences Unit |
| authorships[0].institutions[1].id | https://openalex.org/I241749 |
| authorships[0].institutions[1].ror | https://ror.org/013meh722 |
| authorships[0].institutions[1].type | education |
| authorships[0].institutions[1].lineage | https://openalex.org/I241749 |
| authorships[0].institutions[1].country_code | GB |
| authorships[0].institutions[1].display_name | University of Cambridge |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Ivan L. Simpson-Kent |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, Cambridgeshire, CB2 7EF, UK |
| authorships[1].author.id | https://openalex.org/A5072520929 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-7469-594X |
| authorships[1].author.display_name | Eiko I. Fried |
| authorships[1].countries | NL |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I121797337 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Clinical Psychology, Leiden University, Leiden, The Netherlands |
| authorships[1].institutions[0].id | https://openalex.org/I121797337 |
| authorships[1].institutions[0].ror | https://ror.org/027bh9e22 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I121797337 |
| authorships[1].institutions[0].country_code | NL |
| authorships[1].institutions[0].display_name | Leiden University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Eiko I. Fried |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Clinical Psychology, Leiden University, Leiden, The Netherlands |
| authorships[2].author.id | https://openalex.org/A5065237354 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-5931-0295 |
| authorships[2].author.display_name | Danyal Akarca |
| authorships[2].countries | GB |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I192597271, https://openalex.org/I241749 |
| authorships[2].affiliations[0].raw_affiliation_string | MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, Cambridgeshire, CB2 7EF, UK |
| authorships[2].institutions[0].id | https://openalex.org/I192597271 |
| authorships[2].institutions[0].ror | https://ror.org/055bpw879 |
| authorships[2].institutions[0].type | facility |
| authorships[2].institutions[0].lineage | https://openalex.org/I192597271, https://openalex.org/I241749, https://openalex.org/I4210087105, https://openalex.org/I90344618 |
| authorships[2].institutions[0].country_code | GB |
| authorships[2].institutions[0].display_name | MRC Cognition and Brain Sciences Unit |
| authorships[2].institutions[1].id | https://openalex.org/I241749 |
| authorships[2].institutions[1].ror | https://ror.org/013meh722 |
| authorships[2].institutions[1].type | education |
| authorships[2].institutions[1].lineage | https://openalex.org/I241749 |
| authorships[2].institutions[1].country_code | GB |
| authorships[2].institutions[1].display_name | University of Cambridge |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Danyal Akarca |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, Cambridgeshire, CB2 7EF, UK |
| authorships[3].author.id | https://openalex.org/A5051539165 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-1728-9811 |
| authorships[3].author.display_name | Silvana Mareva |
| authorships[3].countries | GB |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I192597271, https://openalex.org/I241749 |
| authorships[3].affiliations[0].raw_affiliation_string | MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, Cambridgeshire, CB2 7EF, UK |
| authorships[3].institutions[0].id | https://openalex.org/I192597271 |
| authorships[3].institutions[0].ror | https://ror.org/055bpw879 |
| authorships[3].institutions[0].type | facility |
| authorships[3].institutions[0].lineage | https://openalex.org/I192597271, https://openalex.org/I241749, https://openalex.org/I4210087105, https://openalex.org/I90344618 |
| authorships[3].institutions[0].country_code | GB |
| authorships[3].institutions[0].display_name | MRC Cognition and Brain Sciences Unit |
| authorships[3].institutions[1].id | https://openalex.org/I241749 |
| authorships[3].institutions[1].ror | https://ror.org/013meh722 |
| authorships[3].institutions[1].type | education |
| authorships[3].institutions[1].lineage | https://openalex.org/I241749 |
| authorships[3].institutions[1].country_code | GB |
| authorships[3].institutions[1].display_name | University of Cambridge |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Silvana Mareva |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, Cambridgeshire, CB2 7EF, UK |
| authorships[4].author.id | https://openalex.org/A5041538919 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-8955-8283 |
| authorships[4].author.display_name | Edward T. Bullmore |
| authorships[4].countries | GB |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I241749 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Psychiatry, University of Cambridge Clinical School, Cambridge, UK |
| authorships[4].institutions[0].id | https://openalex.org/I241749 |
| authorships[4].institutions[0].ror | https://ror.org/013meh722 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I241749 |
| authorships[4].institutions[0].country_code | GB |
| authorships[4].institutions[0].display_name | University of Cambridge |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Edward T. Bullmore |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Psychiatry, University of Cambridge Clinical School, Cambridge, UK |
| authorships[5].author.id | https://openalex.org/A5057467882 |
| authorships[5].author.orcid | https://orcid.org/0000-0003-0700-4568 |
| authorships[5].author.display_name | Rogier Kievit |
| authorships[5].countries | GB, NL |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I192597271, https://openalex.org/I241749 |
| authorships[5].affiliations[0].raw_affiliation_string | MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, Cambridgeshire, CB2 7EF, UK |
| authorships[5].affiliations[1].institution_ids | https://openalex.org/I145872427, https://openalex.org/I2802934949 |
| authorships[5].affiliations[1].raw_affiliation_string | Cognitive Neuroscience Department, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands |
| authorships[5].institutions[0].id | https://openalex.org/I192597271 |
| authorships[5].institutions[0].ror | https://ror.org/055bpw879 |
| authorships[5].institutions[0].type | facility |
| authorships[5].institutions[0].lineage | https://openalex.org/I192597271, https://openalex.org/I241749, https://openalex.org/I4210087105, https://openalex.org/I90344618 |
| authorships[5].institutions[0].country_code | GB |
| authorships[5].institutions[0].display_name | MRC Cognition and Brain Sciences Unit |
| authorships[5].institutions[1].id | https://openalex.org/I241749 |
| authorships[5].institutions[1].ror | https://ror.org/013meh722 |
| authorships[5].institutions[1].type | education |
| authorships[5].institutions[1].lineage | https://openalex.org/I241749 |
| authorships[5].institutions[1].country_code | GB |
| authorships[5].institutions[1].display_name | University of Cambridge |
| authorships[5].institutions[2].id | https://openalex.org/I2802934949 |
| authorships[5].institutions[2].ror | https://ror.org/05wg1m734 |
| authorships[5].institutions[2].type | healthcare |
| authorships[5].institutions[2].lineage | https://openalex.org/I2802934949 |
| authorships[5].institutions[2].country_code | NL |
| authorships[5].institutions[2].display_name | Radboud University Medical Center |
| authorships[5].institutions[3].id | https://openalex.org/I145872427 |
| authorships[5].institutions[3].ror | https://ror.org/016xsfp80 |
| authorships[5].institutions[3].type | education |
| authorships[5].institutions[3].lineage | https://openalex.org/I145872427 |
| authorships[5].institutions[3].country_code | NL |
| authorships[5].institutions[3].display_name | Radboud University Nijmegen |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | Rogier A. Kievit |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Cognitive Neuroscience Department, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands, MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, Cambridgeshire, CB2 7EF, UK |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.biorxiv.org/content/biorxiv/early/2021/01/28/2020.11.15.383869.full.pdf |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Bridging brain and cognition: A multilayer network analysis of brain structural covariance and general intelligence in a developmental sample of struggling learners |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10241 |
| primary_topic.field.id | https://openalex.org/fields/28 |
| primary_topic.field.display_name | Neuroscience |
| primary_topic.score | 0.9998000264167786 |
| 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 | Functional Brain Connectivity Studies |
| related_works | https://openalex.org/W4229078645, https://openalex.org/W1977345676, https://openalex.org/W4282032776, https://openalex.org/W2047552823, https://openalex.org/W4321606905, https://openalex.org/W3130445735, https://openalex.org/W2105110616, https://openalex.org/W2739658809, https://openalex.org/W2747930654, https://openalex.org/W2419362237 |
| cited_by_count | 5 |
| counts_by_year[0].year | 2024 |
| counts_by_year[0].cited_by_count | 2 |
| counts_by_year[1].year | 2023 |
| counts_by_year[1].cited_by_count | 2 |
| counts_by_year[2].year | 2020 |
| counts_by_year[2].cited_by_count | 1 |
| locations_count | 7 |
| best_oa_location.id | doi:10.1101/2020.11.15.383869 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306402567 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| best_oa_location.source.host_organization | https://openalex.org/I2750212522 |
| best_oa_location.source.host_organization_name | Cold Spring Harbor Laboratory |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I2750212522 |
| best_oa_location.license | cc-by-nc |
| best_oa_location.pdf_url | https://www.biorxiv.org/content/biorxiv/early/2021/01/28/2020.11.15.383869.full.pdf |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.1101/2020.11.15.383869 |
| primary_location.id | doi:10.1101/2020.11.15.383869 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306402567 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| primary_location.source.host_organization | https://openalex.org/I2750212522 |
| primary_location.source.host_organization_name | Cold Spring Harbor Laboratory |
| primary_location.source.host_organization_lineage | https://openalex.org/I2750212522 |
| primary_location.license | cc-by-nc |
| primary_location.pdf_url | https://www.biorxiv.org/content/biorxiv/early/2021/01/28/2020.11.15.383869.full.pdf |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.1101/2020.11.15.383869 |
| publication_date | 2020-11-17 |
| publication_year | 2020 |
| referenced_works | https://openalex.org/W3048975857, https://openalex.org/W1994239403, https://openalex.org/W1970928383, https://openalex.org/W2770249652, https://openalex.org/W2511999769, https://openalex.org/W4211091012, https://openalex.org/W1979426401, https://openalex.org/W309617809, https://openalex.org/W3103552542, https://openalex.org/W3106195219, https://openalex.org/W2789970860, https://openalex.org/W4233082427, https://openalex.org/W2582550385, https://openalex.org/W1983485726, https://openalex.org/W2108058953, https://openalex.org/W2999665664, https://openalex.org/W2789530810, https://openalex.org/W1998979735, https://openalex.org/W2942840404, https://openalex.org/W2151721316, https://openalex.org/W2099886355, https://openalex.org/W2101135654, https://openalex.org/W4236522376, https://openalex.org/W2962989581, https://openalex.org/W2462099493, https://openalex.org/W2807270404, https://openalex.org/W2113319997, https://openalex.org/W2110208125, https://openalex.org/W2004293194, https://openalex.org/W1965468519, https://openalex.org/W4250832892, https://openalex.org/W3005081886, https://openalex.org/W2601774270, https://openalex.org/W3043059238, https://openalex.org/W2132555912, https://openalex.org/W2554748751, https://openalex.org/W2054225951, https://openalex.org/W2132412399, https://openalex.org/W2929474527, https://openalex.org/W2194668066, https://openalex.org/W2100145912, https://openalex.org/W2895813290, https://openalex.org/W4250345115, https://openalex.org/W2012559638, https://openalex.org/W2995515950, https://openalex.org/W2909915412, https://openalex.org/W2009837079, https://openalex.org/W2801359717, https://openalex.org/W2165360032, https://openalex.org/W2913156662, https://openalex.org/W2518059409, https://openalex.org/W2951612973, https://openalex.org/W2795513576, https://openalex.org/W2944937542, https://openalex.org/W2743075094, https://openalex.org/W4234350926, https://openalex.org/W2164411392, https://openalex.org/W2799310339, https://openalex.org/W6775422096, https://openalex.org/W2519549151, https://openalex.org/W2100107646, https://openalex.org/W2584430770, https://openalex.org/W4245390108, https://openalex.org/W1535656004, https://openalex.org/W2021947606, https://openalex.org/W2949322252, https://openalex.org/W2144062563, https://openalex.org/W2151936673, https://openalex.org/W2766547072, https://openalex.org/W2098509290, https://openalex.org/W2980286315, https://openalex.org/W7036999063, https://openalex.org/W2998636967, https://openalex.org/W2776946813, https://openalex.org/W2964976359, https://openalex.org/W3034769145, https://openalex.org/W2951936097, https://openalex.org/W2931477364, https://openalex.org/W2071881327, https://openalex.org/W2954492483, https://openalex.org/W2133487567, https://openalex.org/W2143502460, https://openalex.org/W2330532773, https://openalex.org/W2786198454, https://openalex.org/W2808004150, https://openalex.org/W2986581451, https://openalex.org/W2491159019, https://openalex.org/W3098977856, https://openalex.org/W3101599699, https://openalex.org/W2995534636 |
| referenced_works_count | 90 |
| abstract_inverted_index.a | 88 |
| abstract_inverted_index.In | 58 |
| abstract_inverted_index.We | 106, 156 |
| abstract_inverted_index.an | 149 |
| abstract_inverted_index.as | 11, 46 |
| abstract_inverted_index.in | 7, 22, 87 |
| abstract_inverted_index.of | 32, 67, 102, 142 |
| abstract_inverted_index.or | 29, 48 |
| abstract_inverted_index.to | 18, 78 |
| abstract_inverted_index.we | 61, 136 |
| abstract_inverted_index.The | 27 |
| abstract_inverted_index.and | 70, 75, 118, 127, 133, 145, 154, 159 |
| abstract_inverted_index.are | 5 |
| abstract_inverted_index.for | 84, 162 |
| abstract_inverted_index.our | 115 |
| abstract_inverted_index.the | 36 |
| abstract_inverted_index.been | 16 |
| abstract_inverted_index.both | 143 |
| abstract_inverted_index.from | 51 |
| abstract_inverted_index.have | 14 |
| abstract_inverted_index.node | 129 |
| abstract_inverted_index.play | 148 |
| abstract_inverted_index.role | 151 |
| abstract_inverted_index.stem | 50 |
| abstract_inverted_index.such | 10, 45 |
| abstract_inverted_index.test | 19 |
| abstract_inverted_index.that | 4, 35, 108, 140 |
| abstract_inverted_index.them | 55 |
| abstract_inverted_index.this | 59 |
| abstract_inverted_index.used | 17, 62 |
| abstract_inverted_index.(ages | 99 |
| abstract_inverted_index.(grey | 74 |
| abstract_inverted_index.5-18) | 100 |
| abstract_inverted_index.among | 39, 54 |
| abstract_inverted_index.brain | 71, 153 |
| abstract_inverted_index.found | 107, 137 |
| abstract_inverted_index.large | 89 |
| abstract_inverted_index.model | 80 |
| abstract_inverted_index.nodes | 147 |
| abstract_inverted_index.other | 8 |
| abstract_inverted_index.small | 111 |
| abstract_inverted_index.using | 122 |
| abstract_inverted_index.white | 76 |
| abstract_inverted_index.(e.g., | 42 |
| abstract_inverted_index.LASSO) | 66 |
| abstract_inverted_index.N=246; | 94 |
| abstract_inverted_index.N=805; | 91 |
| abstract_inverted_index.areas, | 9 |
| abstract_inverted_index.bridge | 134 |
| abstract_inverted_index.causal | 52 |
| abstract_inverted_index.cohort | 101 |
| abstract_inverted_index.future | 163 |
| abstract_inverted_index.models | 64 |
| abstract_inverted_index.mostly | 109 |
| abstract_inverted_index.neural | 146 |
| abstract_inverted_index.study, | 60 |
| abstract_inverted_index.theory | 31 |
| abstract_inverted_index.(CALM). | 105 |
| abstract_inverted_index.N=165), | 97 |
| abstract_inverted_index.Network | 1 |
| abstract_inverted_index.avenues | 161 |
| abstract_inverted_index.discuss | 157 |
| abstract_inverted_index.general | 85 |
| abstract_inverted_index.matter) | 77 |
| abstract_inverted_index.memory) | 49 |
| abstract_inverted_index.methods | 3 |
| abstract_inverted_index.network | 20, 28, 63 |
| abstract_inverted_index.neural, | 117 |
| abstract_inverted_index.partial | 112 |
| abstract_inverted_index.pervade | 114 |
| abstract_inverted_index.subsets | 141 |
| abstract_inverted_index.systems | 12 |
| abstract_inverted_index.volume, | 93 |
| abstract_inverted_index.ABSTRACT | 0 |
| abstract_inverted_index.analytic | 2 |
| abstract_inverted_index.cortical | 92 |
| abstract_inverted_index.evidence | 139 |
| abstract_inverted_index.learners | 104 |
| abstract_inverted_index.possible | 160 |
| abstract_inverted_index.proposes | 34 |
| abstract_inverted_index.recently | 15 |
| abstract_inverted_index.specific | 43 |
| abstract_inverted_index.strength | 132 |
| abstract_inverted_index.studies. | 164 |
| abstract_inverted_index.theories | 21 |
| abstract_inverted_index.(Walktrap | 125 |
| abstract_inverted_index.(absolute | 131 |
| abstract_inverted_index.Moreover, | 121 |
| abstract_inverted_index.abilities | 41, 44, 69 |
| abstract_inverted_index.behavior. | 155 |
| abstract_inverted_index.cognitive | 40, 68, 144 |
| abstract_inverted_index.community | 123 |
| abstract_inverted_index.detection | 124 |
| abstract_inverted_index.essential | 83 |
| abstract_inverted_index.including | 24 |
| abstract_inverted_index.mutualism | 30 |
| abstract_inverted_index.networks. | 120 |
| abstract_inverted_index.positive, | 110 |
| abstract_inverted_index.relations | 53 |
| abstract_inverted_index.research. | 26 |
| abstract_inverted_index.algorithm) | 126 |
| abstract_inverted_index.centrality | 130 |
| abstract_inverted_index.cognitive, | 116 |
| abstract_inverted_index.convergent | 138 |
| abstract_inverted_index.covariance | 73 |
| abstract_inverted_index.fractional | 95 |
| abstract_inverted_index.multilayer | 119 |
| abstract_inverted_index.strength), | 135 |
| abstract_inverted_index.structural | 72 |
| abstract_inverted_index.struggling | 103 |
| abstract_inverted_index.throughout | 56 |
| abstract_inverted_index.ubiquitous | 6 |
| abstract_inverted_index.vocabulary | 47 |
| abstract_inverted_index.anisotropy, | 96 |
| abstract_inverted_index.calculating | 128 |
| abstract_inverted_index.psychology, | 23 |
| abstract_inverted_index.statistical | 37 |
| abstract_inverted_index.(behavioral, | 90 |
| abstract_inverted_index.associations | 38 |
| abstract_inverted_index.correlations | 113 |
| abstract_inverted_index.development. | 57 |
| abstract_inverted_index.implications | 158 |
| abstract_inverted_index.intelligence | 25, 33, 86 |
| abstract_inverted_index.intermediary | 150 |
| abstract_inverted_index.(specifically | 65 |
| abstract_inverted_index.developmental | 98 |
| abstract_inverted_index.neuroscience, | 13 |
| abstract_inverted_index.relationships | 82 |
| abstract_inverted_index.‘between’ | 152 |
| abstract_inverted_index.brain-behavior | 81 |
| abstract_inverted_index.simultaneously | 79 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5030135474 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I192597271, https://openalex.org/I241749 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.7799999713897705 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.57364485 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |