Dissociation of reliability, heritability, and predictivity in coarse- and fine-scale functional connectomes during development Article Swipe
Erica L. Busch
,
Kristina M. Rapuano
,
Kevin M. Anderson
,
Monica D. Rosenberg
,
Richard Watts
,
B.J. Casey
,
James V. Haxby
,
Ma Feilong
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.05.24.493295
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.05.24.493295
The functional connectome supports information transmission through the brain at various spatial scales, from exchange between broad cortical regions to finer–scale, vertex–wise connections that underlie specific information processing mechanisms. In adults, while both the coarse- and fine-scale functional connectomes predict cognition, the fine-scale can predict up to twice the variance as the coarse-scale functional connectome. Yet, past brain-wide association studies, particularly using large developmental samples, focus on the coarse connectome to understand the neural underpinnings of individual differences in cognition. Using a large cohort of children (age 9 – 10 years; n = 1,115 individuals, both sexes, 50% female, including 170 monozygotic and 219 dizygotic twin pairs and 337 unrelated individuals), we examine the reliability, heritability, and behavioral relevance of resting-state functional connectivity computed at different spatial scales. We use connectivity hyperalignment to improve access to reliable fine-scale (vertex–wise) connectivity information and compare the fine-scale connectome with the traditional parcel–wise (coarse scale) functional connectomes. Though individual differences in the fine-scale connectome are more reliable than those in the coarse-scale, they are less heritable. Further, the alignment and scale of connectomes influence their ability to predict behavior, whereby some cognitive traits are equally well predicted by both connectome scales, but other, less heritable cognitive traits are better predicted by the fine-scale connectome. Together, our findings suggest there are dissociable individual differences in information processing represented at different scales of the functional connectome which, in turn, have distinct implications for heritability and cognition. Significance statement Years of human magnetic resonance imaging (MRI) research demonstrate that individual variability in resting-state functional connectivity relates to genetics and cognition. However, the various spatial scales where individual differences in connectivity could occur have yet to be considered in childhood brain– behavior association studies. Here, we use novel machine learning approaches to examine the reliability, heritability, and behavioral relevance of different spatial scales of the resting-state functional connectome during childhood. We show that broad features of the connectome are strongly related to heritability, whereas fine details are more reliable and strongly associated with neurocognitive performance. These data indicate that reliable, heritable, and behaviorally–relevant individual differences exist at dissociable scales of the functional connectome.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2022.05.24.493295
- https://www.biorxiv.org/content/biorxiv/early/2022/05/24/2022.05.24.493295.full.pdf
- OA Status
- green
- Cited By
- 3
- References
- 81
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4281484677
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4281484677Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2022.05.24.493295Digital Object Identifier
- Title
-
Dissociation of reliability, heritability, and predictivity in coarse- and fine-scale functional connectomes during developmentWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-05-24Full publication date if available
- Authors
-
Erica L. Busch, Kristina M. Rapuano, Kevin M. Anderson, Monica D. Rosenberg, Richard Watts, B.J. Casey, James V. Haxby, Ma FeilongList of authors in order
- Landing page
-
https://doi.org/10.1101/2022.05.24.493295Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2022/05/24/2022.05.24.493295.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/2022/05/24/2022.05.24.493295.full.pdfDirect OA link when available
- Concepts
-
Connectome, Human Connectome Project, Cognition, Heritability, Resting state fMRI, Psychology, Scale (ratio), Connectomics, Functional connectivity, Neuroscience, Cognitive psychology, Evolutionary biology, Biology, Cartography, GeographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1, 2022: 2Per-year citation counts (last 5 years)
- References (count)
-
81Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4281484677 |
|---|---|
| doi | https://doi.org/10.1101/2022.05.24.493295 |
| ids.doi | https://doi.org/10.1101/2022.05.24.493295 |
| ids.openalex | https://openalex.org/W4281484677 |
| fwci | 0.48156274 |
| type | preprint |
| title | Dissociation of reliability, heritability, and predictivity in coarse- and fine-scale functional connectomes during development |
| 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 | 1.0 |
| 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/T11304 |
| topics[1].field.id | https://openalex.org/fields/27 |
| topics[1].field.display_name | Medicine |
| topics[1].score | 0.9926000237464905 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2741 |
| topics[1].subfield.display_name | Radiology, Nuclear Medicine and Imaging |
| topics[1].display_name | Advanced Neuroimaging Techniques and Applications |
| topics[2].id | https://openalex.org/T14393 |
| topics[2].field.id | https://openalex.org/fields/23 |
| topics[2].field.display_name | Environmental Science |
| topics[2].score | 0.9861999750137329 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2307 |
| topics[2].subfield.display_name | Health, Toxicology and Mutagenesis |
| topics[2].display_name | Health, Environment, Cognitive Aging |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C45715564 |
| concepts[0].level | 3 |
| concepts[0].score | 0.9349672794342041 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q1292103 |
| concepts[0].display_name | Connectome |
| concepts[1].id | https://openalex.org/C97820695 |
| concepts[1].level | 3 |
| concepts[1].score | 0.5793009400367737 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q387749 |
| concepts[1].display_name | Human Connectome Project |
| concepts[2].id | https://openalex.org/C169900460 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5758898854255676 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q2200417 |
| concepts[2].display_name | Cognition |
| concepts[3].id | https://openalex.org/C161890455 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5639938712120056 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1503548 |
| concepts[3].display_name | Heritability |
| concepts[4].id | https://openalex.org/C66324658 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5462242960929871 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q7316120 |
| concepts[4].display_name | Resting state fMRI |
| concepts[5].id | https://openalex.org/C15744967 |
| concepts[5].level | 0 |
| concepts[5].score | 0.4631715416908264 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q9418 |
| concepts[5].display_name | Psychology |
| concepts[6].id | https://openalex.org/C2778755073 |
| concepts[6].level | 2 |
| concepts[6].score | 0.46005815267562866 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q10858537 |
| concepts[6].display_name | Scale (ratio) |
| concepts[7].id | https://openalex.org/C2779097318 |
| concepts[7].level | 4 |
| concepts[7].score | 0.44027653336524963 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q2993446 |
| concepts[7].display_name | Connectomics |
| concepts[8].id | https://openalex.org/C3018011982 |
| concepts[8].level | 2 |
| concepts[8].score | 0.39246463775634766 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q7316120 |
| concepts[8].display_name | Functional connectivity |
| concepts[9].id | https://openalex.org/C169760540 |
| concepts[9].level | 1 |
| concepts[9].score | 0.36826545000076294 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q207011 |
| concepts[9].display_name | Neuroscience |
| concepts[10].id | https://openalex.org/C180747234 |
| concepts[10].level | 1 |
| concepts[10].score | 0.34937208890914917 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q23373 |
| concepts[10].display_name | Cognitive psychology |
| concepts[11].id | https://openalex.org/C78458016 |
| concepts[11].level | 1 |
| concepts[11].score | 0.2620958089828491 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q840400 |
| concepts[11].display_name | Evolutionary biology |
| concepts[12].id | https://openalex.org/C86803240 |
| concepts[12].level | 0 |
| concepts[12].score | 0.23295331001281738 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[12].display_name | Biology |
| concepts[13].id | https://openalex.org/C58640448 |
| concepts[13].level | 1 |
| concepts[13].score | 0.12133291363716125 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q42515 |
| concepts[13].display_name | Cartography |
| concepts[14].id | https://openalex.org/C205649164 |
| concepts[14].level | 0 |
| concepts[14].score | 0.0776669979095459 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[14].display_name | Geography |
| keywords[0].id | https://openalex.org/keywords/connectome |
| keywords[0].score | 0.9349672794342041 |
| keywords[0].display_name | Connectome |
| keywords[1].id | https://openalex.org/keywords/human-connectome-project |
| keywords[1].score | 0.5793009400367737 |
| keywords[1].display_name | Human Connectome Project |
| keywords[2].id | https://openalex.org/keywords/cognition |
| keywords[2].score | 0.5758898854255676 |
| keywords[2].display_name | Cognition |
| keywords[3].id | https://openalex.org/keywords/heritability |
| keywords[3].score | 0.5639938712120056 |
| keywords[3].display_name | Heritability |
| keywords[4].id | https://openalex.org/keywords/resting-state-fmri |
| keywords[4].score | 0.5462242960929871 |
| keywords[4].display_name | Resting state fMRI |
| keywords[5].id | https://openalex.org/keywords/psychology |
| keywords[5].score | 0.4631715416908264 |
| keywords[5].display_name | Psychology |
| keywords[6].id | https://openalex.org/keywords/scale |
| keywords[6].score | 0.46005815267562866 |
| keywords[6].display_name | Scale (ratio) |
| keywords[7].id | https://openalex.org/keywords/connectomics |
| keywords[7].score | 0.44027653336524963 |
| keywords[7].display_name | Connectomics |
| keywords[8].id | https://openalex.org/keywords/functional-connectivity |
| keywords[8].score | 0.39246463775634766 |
| keywords[8].display_name | Functional connectivity |
| keywords[9].id | https://openalex.org/keywords/neuroscience |
| keywords[9].score | 0.36826545000076294 |
| keywords[9].display_name | Neuroscience |
| keywords[10].id | https://openalex.org/keywords/cognitive-psychology |
| keywords[10].score | 0.34937208890914917 |
| keywords[10].display_name | Cognitive psychology |
| keywords[11].id | https://openalex.org/keywords/evolutionary-biology |
| keywords[11].score | 0.2620958089828491 |
| keywords[11].display_name | Evolutionary biology |
| keywords[12].id | https://openalex.org/keywords/biology |
| keywords[12].score | 0.23295331001281738 |
| keywords[12].display_name | Biology |
| keywords[13].id | https://openalex.org/keywords/cartography |
| keywords[13].score | 0.12133291363716125 |
| keywords[13].display_name | Cartography |
| keywords[14].id | https://openalex.org/keywords/geography |
| keywords[14].score | 0.0776669979095459 |
| keywords[14].display_name | Geography |
| language | en |
| locations[0].id | doi:10.1101/2022.05.24.493295 |
| 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 |
| locations[0].pdf_url | https://www.biorxiv.org/content/biorxiv/early/2022/05/24/2022.05.24.493295.full.pdf |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.1101/2022.05.24.493295 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5060271360 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-5906-9622 |
| authorships[0].author.display_name | Erica L. Busch |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I32971472 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Psychology, Yale University |
| authorships[0].institutions[0].id | https://openalex.org/I32971472 |
| authorships[0].institutions[0].ror | https://ror.org/03v76x132 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I32971472 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | Yale University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Erica L. Busch |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Department of Psychology, Yale University |
| authorships[1].author.id | https://openalex.org/A5003508094 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-4682-098X |
| authorships[1].author.display_name | Kristina M. Rapuano |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I32971472 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Psychology, Yale University |
| authorships[1].institutions[0].id | https://openalex.org/I32971472 |
| authorships[1].institutions[0].ror | https://ror.org/03v76x132 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I32971472 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | Yale University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Kristina M. Rapuano |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Psychology, Yale University |
| authorships[2].author.id | https://openalex.org/A5111921666 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Kevin M. Anderson |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I32971472 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Psychology, Yale University |
| authorships[2].institutions[0].id | https://openalex.org/I32971472 |
| authorships[2].institutions[0].ror | https://ror.org/03v76x132 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I32971472 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | Yale University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Kevin M. Anderson |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Psychology, Yale University |
| authorships[3].author.id | https://openalex.org/A5031168514 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-6179-4025 |
| authorships[3].author.display_name | Monica D. Rosenberg |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I40347166 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Psychology, University of Chicago |
| authorships[3].institutions[0].id | https://openalex.org/I40347166 |
| authorships[3].institutions[0].ror | https://ror.org/024mw5h28 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I40347166 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | University of Chicago |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Monica D. Rosenberg |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Psychology, University of Chicago |
| authorships[4].author.id | https://openalex.org/A5029725719 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-1026-2293 |
| authorships[4].author.display_name | Richard Watts |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I32971472 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Psychology, Yale University |
| authorships[4].institutions[0].id | https://openalex.org/I32971472 |
| authorships[4].institutions[0].ror | https://ror.org/03v76x132 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I32971472 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | Yale University |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Richard Watts |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Psychology, Yale University |
| authorships[5].author.id | https://openalex.org/A5086162525 |
| authorships[5].author.orcid | https://orcid.org/0000-0003-2905-9834 |
| authorships[5].author.display_name | B.J. Casey |
| authorships[5].countries | US |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I32971472 |
| authorships[5].affiliations[0].raw_affiliation_string | Department of Psychology, Yale University |
| authorships[5].institutions[0].id | https://openalex.org/I32971472 |
| authorships[5].institutions[0].ror | https://ror.org/03v76x132 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I32971472 |
| authorships[5].institutions[0].country_code | US |
| authorships[5].institutions[0].display_name | Yale University |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | BJ Casey |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Department of Psychology, Yale University |
| authorships[6].author.id | https://openalex.org/A5016227283 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-6558-3118 |
| authorships[6].author.display_name | James V. Haxby |
| authorships[6].countries | DE, US |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I107672454, https://openalex.org/I4210113520 |
| authorships[6].affiliations[0].raw_affiliation_string | Department of Psychological and Brain Sciences, Dartmouth College |
| authorships[6].institutions[0].id | https://openalex.org/I4210113520 |
| authorships[6].institutions[0].ror | https://ror.org/01gamcy45 |
| authorships[6].institutions[0].type | company |
| authorships[6].institutions[0].lineage | https://openalex.org/I4210113520 |
| authorships[6].institutions[0].country_code | DE |
| authorships[6].institutions[0].display_name | Brain (Germany) |
| authorships[6].institutions[1].id | https://openalex.org/I107672454 |
| authorships[6].institutions[1].ror | https://ror.org/049s0rh22 |
| authorships[6].institutions[1].type | education |
| authorships[6].institutions[1].lineage | https://openalex.org/I107672454 |
| authorships[6].institutions[1].country_code | US |
| authorships[6].institutions[1].display_name | Dartmouth College |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | James V. Haxby |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Department of Psychological and Brain Sciences, Dartmouth College |
| authorships[7].author.id | https://openalex.org/A5028668424 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-6838-3971 |
| authorships[7].author.display_name | Ma Feilong |
| authorships[7].countries | DE, US |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I107672454, https://openalex.org/I4210113520 |
| authorships[7].affiliations[0].raw_affiliation_string | Department of Psychological and Brain Sciences, Dartmouth College |
| authorships[7].institutions[0].id | https://openalex.org/I4210113520 |
| authorships[7].institutions[0].ror | https://ror.org/01gamcy45 |
| authorships[7].institutions[0].type | company |
| authorships[7].institutions[0].lineage | https://openalex.org/I4210113520 |
| authorships[7].institutions[0].country_code | DE |
| authorships[7].institutions[0].display_name | Brain (Germany) |
| authorships[7].institutions[1].id | https://openalex.org/I107672454 |
| authorships[7].institutions[1].ror | https://ror.org/049s0rh22 |
| authorships[7].institutions[1].type | education |
| authorships[7].institutions[1].lineage | https://openalex.org/I107672454 |
| authorships[7].institutions[1].country_code | US |
| authorships[7].institutions[1].display_name | Dartmouth College |
| authorships[7].author_position | last |
| authorships[7].raw_author_name | Ma Feilong |
| authorships[7].is_corresponding | True |
| authorships[7].raw_affiliation_strings | Department of Psychological and Brain Sciences, Dartmouth College |
| 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/2022/05/24/2022.05.24.493295.full.pdf |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Dissociation of reliability, heritability, and predictivity in coarse- and fine-scale functional connectomes during development |
| 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 | 1.0 |
| 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/W3210800206, https://openalex.org/W1744057168, https://openalex.org/W2741941708, https://openalex.org/W2114571052, https://openalex.org/W4393477281, https://openalex.org/W2611561168, https://openalex.org/W3210626554, https://openalex.org/W4220697754, https://openalex.org/W4281670718, https://openalex.org/W4393909126 |
| cited_by_count | 3 |
| counts_by_year[0].year | 2023 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2022 |
| counts_by_year[1].cited_by_count | 2 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1101/2022.05.24.493295 |
| 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 |
| best_oa_location.pdf_url | https://www.biorxiv.org/content/biorxiv/early/2022/05/24/2022.05.24.493295.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 |
| 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/10.1101/2022.05.24.493295 |
| primary_location.id | doi:10.1101/2022.05.24.493295 |
| 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 |
| primary_location.pdf_url | https://www.biorxiv.org/content/biorxiv/early/2022/05/24/2022.05.24.493295.full.pdf |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.1101/2022.05.24.493295 |
| publication_date | 2022-05-24 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W2115335486, https://openalex.org/W3131541338, https://openalex.org/W1970928383, https://openalex.org/W2084892943, https://openalex.org/W1974897177, https://openalex.org/W1984011681, https://openalex.org/W2156723135, https://openalex.org/W3138349175, https://openalex.org/W2789530810, https://openalex.org/W4224947618, https://openalex.org/W2809303994, https://openalex.org/W2737349650, https://openalex.org/W3006922697, https://openalex.org/W2151721316, https://openalex.org/W2743362255, https://openalex.org/W2063404606, https://openalex.org/W2344945222, https://openalex.org/W2814372830, https://openalex.org/W2791781046, https://openalex.org/W2982600860, https://openalex.org/W2895693082, https://openalex.org/W2991634959, https://openalex.org/W3135064238, https://openalex.org/W2949433222, https://openalex.org/W4291570836, https://openalex.org/W2111902267, https://openalex.org/W4241074797, https://openalex.org/W2111945082, https://openalex.org/W1875202969, https://openalex.org/W2612069075, https://openalex.org/W2158611196, https://openalex.org/W2499800833, https://openalex.org/W1983208069, https://openalex.org/W2951103577, https://openalex.org/W3011154449, https://openalex.org/W2836420707, https://openalex.org/W2952634495, https://openalex.org/W2301881409, https://openalex.org/W2282150471, https://openalex.org/W2966883685, https://openalex.org/W2156266906, https://openalex.org/W1976193721, https://openalex.org/W3031175989, https://openalex.org/W2756017281, https://openalex.org/W1974435914, https://openalex.org/W4309677803, https://openalex.org/W2024274726, https://openalex.org/W3173250677, https://openalex.org/W4220718392, https://openalex.org/W2952991498, https://openalex.org/W4327921300, https://openalex.org/W3159779018, https://openalex.org/W2811146389, https://openalex.org/W2172163771, https://openalex.org/W2953136735, https://openalex.org/W2290321704, https://openalex.org/W3181345509, https://openalex.org/W2319524380, https://openalex.org/W2973570606, https://openalex.org/W4220838968, https://openalex.org/W2766646477, https://openalex.org/W2896149371, https://openalex.org/W3017013110, https://openalex.org/W2010380543, https://openalex.org/W2114427927, https://openalex.org/W1978517482, https://openalex.org/W2030813262, https://openalex.org/W2531587846, https://openalex.org/W1990134753, https://openalex.org/W2073588997, https://openalex.org/W2174056659, https://openalex.org/W3028337256, https://openalex.org/W2048857243, https://openalex.org/W2809193491, https://openalex.org/W2089810490, https://openalex.org/W2909727958, https://openalex.org/W2967774204, https://openalex.org/W2171251197, https://openalex.org/W2904226249, https://openalex.org/W2132175842, https://openalex.org/W2287766422 |
| referenced_works_count | 81 |
| abstract_inverted_index.9 | 88 |
| abstract_inverted_index.= | 93 |
| abstract_inverted_index.a | 82 |
| abstract_inverted_index.n | 92 |
| abstract_inverted_index.10 | 90 |
| abstract_inverted_index.In | 30 |
| abstract_inverted_index.We | 129, 314 |
| abstract_inverted_index.as | 51 |
| abstract_inverted_index.at | 10, 125, 225, 350 |
| abstract_inverted_index.be | 280 |
| abstract_inverted_index.by | 195, 208 |
| abstract_inverted_index.in | 79, 158, 167, 221, 233, 256, 273, 282 |
| abstract_inverted_index.of | 76, 85, 120, 179, 228, 245, 303, 307, 319, 353 |
| abstract_inverted_index.on | 67 |
| abstract_inverted_index.to | 20, 47, 71, 133, 136, 184, 261, 279, 295, 325 |
| abstract_inverted_index.up | 46 |
| abstract_inverted_index.we | 112, 289 |
| abstract_inverted_index.170 | 101 |
| abstract_inverted_index.219 | 104 |
| abstract_inverted_index.337 | 109 |
| abstract_inverted_index.50% | 98 |
| abstract_inverted_index.The | 1 |
| abstract_inverted_index.and | 36, 103, 108, 117, 142, 177, 240, 263, 300, 333, 345 |
| abstract_inverted_index.are | 162, 171, 191, 205, 217, 322, 330 |
| abstract_inverted_index.but | 199 |
| abstract_inverted_index.can | 44 |
| abstract_inverted_index.for | 238 |
| abstract_inverted_index.our | 213 |
| abstract_inverted_index.the | 8, 34, 42, 49, 52, 68, 73, 114, 144, 148, 159, 168, 175, 209, 229, 266, 297, 308, 320, 354 |
| abstract_inverted_index.use | 130, 290 |
| abstract_inverted_index.yet | 278 |
| abstract_inverted_index.– | 89 |
| abstract_inverted_index.(age | 87 |
| abstract_inverted_index.Yet, | 56 |
| abstract_inverted_index.both | 33, 96, 196 |
| abstract_inverted_index.data | 340 |
| abstract_inverted_index.fine | 328 |
| abstract_inverted_index.from | 14 |
| abstract_inverted_index.have | 235, 277 |
| abstract_inverted_index.less | 172, 201 |
| abstract_inverted_index.more | 163, 331 |
| abstract_inverted_index.past | 57 |
| abstract_inverted_index.show | 315 |
| abstract_inverted_index.some | 188 |
| abstract_inverted_index.than | 165 |
| abstract_inverted_index.that | 24, 253, 316, 342 |
| abstract_inverted_index.they | 170 |
| abstract_inverted_index.twin | 106 |
| abstract_inverted_index.well | 193 |
| abstract_inverted_index.with | 147, 336 |
| abstract_inverted_index.(MRI) | 250 |
| abstract_inverted_index.1,115 | 94 |
| abstract_inverted_index.Here, | 288 |
| abstract_inverted_index.These | 339 |
| abstract_inverted_index.Using | 81 |
| abstract_inverted_index.Years | 244 |
| abstract_inverted_index.brain | 9 |
| abstract_inverted_index.broad | 17, 317 |
| abstract_inverted_index.could | 275 |
| abstract_inverted_index.exist | 349 |
| abstract_inverted_index.focus | 66 |
| abstract_inverted_index.human | 246 |
| abstract_inverted_index.large | 63, 83 |
| abstract_inverted_index.novel | 291 |
| abstract_inverted_index.occur | 276 |
| abstract_inverted_index.pairs | 107 |
| abstract_inverted_index.scale | 178 |
| abstract_inverted_index.their | 182 |
| abstract_inverted_index.there | 216 |
| abstract_inverted_index.those | 166 |
| abstract_inverted_index.turn, | 234 |
| abstract_inverted_index.twice | 48 |
| abstract_inverted_index.using | 62 |
| abstract_inverted_index.where | 270 |
| abstract_inverted_index.while | 32 |
| abstract_inverted_index.Though | 155 |
| abstract_inverted_index.access | 135 |
| abstract_inverted_index.better | 206 |
| abstract_inverted_index.coarse | 69 |
| abstract_inverted_index.cohort | 84 |
| abstract_inverted_index.during | 312 |
| abstract_inverted_index.neural | 74 |
| abstract_inverted_index.other, | 200 |
| abstract_inverted_index.scale) | 152 |
| abstract_inverted_index.scales | 227, 269, 306, 352 |
| abstract_inverted_index.sexes, | 97 |
| abstract_inverted_index.traits | 190, 204 |
| abstract_inverted_index.which, | 232 |
| abstract_inverted_index.years; | 91 |
| abstract_inverted_index.(coarse | 151 |
| abstract_inverted_index.ability | 183 |
| abstract_inverted_index.adults, | 31 |
| abstract_inverted_index.between | 16 |
| abstract_inverted_index.coarse- | 35 |
| abstract_inverted_index.compare | 143 |
| abstract_inverted_index.details | 329 |
| abstract_inverted_index.equally | 192 |
| abstract_inverted_index.examine | 113, 296 |
| abstract_inverted_index.female, | 99 |
| abstract_inverted_index.imaging | 249 |
| abstract_inverted_index.improve | 134 |
| abstract_inverted_index.machine | 292 |
| abstract_inverted_index.predict | 40, 45, 185 |
| abstract_inverted_index.regions | 19 |
| abstract_inverted_index.related | 324 |
| abstract_inverted_index.relates | 260 |
| abstract_inverted_index.scales, | 13, 198 |
| abstract_inverted_index.scales. | 128 |
| abstract_inverted_index.spatial | 12, 127, 268, 305 |
| abstract_inverted_index.suggest | 215 |
| abstract_inverted_index.through | 7 |
| abstract_inverted_index.various | 11, 267 |
| abstract_inverted_index.whereas | 327 |
| abstract_inverted_index.whereby | 187 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Further, | 174 |
| abstract_inverted_index.However, | 265 |
| abstract_inverted_index.behavior | 285 |
| abstract_inverted_index.brain– | 284 |
| abstract_inverted_index.children | 86 |
| abstract_inverted_index.computed | 124 |
| abstract_inverted_index.cortical | 18 |
| abstract_inverted_index.distinct | 236 |
| abstract_inverted_index.exchange | 15 |
| abstract_inverted_index.features | 318 |
| abstract_inverted_index.findings | 214 |
| abstract_inverted_index.genetics | 262 |
| abstract_inverted_index.indicate | 341 |
| abstract_inverted_index.learning | 293 |
| abstract_inverted_index.magnetic | 247 |
| abstract_inverted_index.reliable | 137, 164, 332 |
| abstract_inverted_index.research | 251 |
| abstract_inverted_index.samples, | 65 |
| abstract_inverted_index.specific | 26 |
| abstract_inverted_index.strongly | 323, 334 |
| abstract_inverted_index.studies, | 60 |
| abstract_inverted_index.studies. | 287 |
| abstract_inverted_index.supports | 4 |
| abstract_inverted_index.underlie | 25 |
| abstract_inverted_index.variance | 50 |
| abstract_inverted_index.Together, | 212 |
| abstract_inverted_index.alignment | 176 |
| abstract_inverted_index.behavior, | 186 |
| abstract_inverted_index.childhood | 283 |
| abstract_inverted_index.cognitive | 189, 203 |
| abstract_inverted_index.different | 126, 226, 304 |
| abstract_inverted_index.dizygotic | 105 |
| abstract_inverted_index.heritable | 202 |
| abstract_inverted_index.including | 100 |
| abstract_inverted_index.influence | 181 |
| abstract_inverted_index.predicted | 194, 207 |
| abstract_inverted_index.relevance | 119, 302 |
| abstract_inverted_index.reliable, | 343 |
| abstract_inverted_index.resonance | 248 |
| abstract_inverted_index.statement | 243 |
| abstract_inverted_index.unrelated | 110 |
| abstract_inverted_index.approaches | 294 |
| abstract_inverted_index.associated | 335 |
| abstract_inverted_index.behavioral | 118, 301 |
| abstract_inverted_index.brain-wide | 58 |
| abstract_inverted_index.childhood. | 313 |
| abstract_inverted_index.cognition, | 41 |
| abstract_inverted_index.cognition. | 80, 241, 264 |
| abstract_inverted_index.connectome | 3, 70, 146, 161, 197, 231, 311, 321 |
| abstract_inverted_index.considered | 281 |
| abstract_inverted_index.fine-scale | 37, 43, 138, 145, 160, 210 |
| abstract_inverted_index.functional | 2, 38, 54, 122, 153, 230, 258, 310, 355 |
| abstract_inverted_index.heritable, | 344 |
| abstract_inverted_index.heritable. | 173 |
| abstract_inverted_index.individual | 77, 156, 219, 254, 271, 347 |
| abstract_inverted_index.processing | 28, 223 |
| abstract_inverted_index.understand | 72 |
| abstract_inverted_index.association | 59, 286 |
| abstract_inverted_index.connections | 23 |
| abstract_inverted_index.connectome. | 55, 211, 356 |
| abstract_inverted_index.connectomes | 39, 180 |
| abstract_inverted_index.demonstrate | 252 |
| abstract_inverted_index.differences | 78, 157, 220, 272, 348 |
| abstract_inverted_index.dissociable | 218, 351 |
| abstract_inverted_index.information | 5, 27, 141, 222 |
| abstract_inverted_index.mechanisms. | 29 |
| abstract_inverted_index.monozygotic | 102 |
| abstract_inverted_index.represented | 224 |
| abstract_inverted_index.traditional | 149 |
| abstract_inverted_index.variability | 255 |
| abstract_inverted_index.Significance | 242 |
| abstract_inverted_index.coarse-scale | 53 |
| abstract_inverted_index.connectivity | 123, 131, 140, 259, 274 |
| abstract_inverted_index.connectomes. | 154 |
| abstract_inverted_index.heritability | 239 |
| abstract_inverted_index.implications | 237 |
| abstract_inverted_index.individuals, | 95 |
| abstract_inverted_index.particularly | 61 |
| abstract_inverted_index.performance. | 338 |
| abstract_inverted_index.reliability, | 115, 298 |
| abstract_inverted_index.transmission | 6 |
| abstract_inverted_index.coarse-scale, | 169 |
| abstract_inverted_index.developmental | 64 |
| abstract_inverted_index.heritability, | 116, 299, 326 |
| abstract_inverted_index.individuals), | 111 |
| abstract_inverted_index.parcel–wise | 150 |
| abstract_inverted_index.resting-state | 121, 257, 309 |
| abstract_inverted_index.underpinnings | 75 |
| abstract_inverted_index.vertex–wise | 22 |
| abstract_inverted_index.finer–scale, | 21 |
| abstract_inverted_index.hyperalignment | 132 |
| abstract_inverted_index.neurocognitive | 337 |
| abstract_inverted_index.(vertex–wise) | 139 |
| abstract_inverted_index.behaviorally–relevant | 346 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5060271360, https://openalex.org/A5028668424 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 8 |
| corresponding_institution_ids | https://openalex.org/I107672454, https://openalex.org/I32971472, https://openalex.org/I4210113520 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.6499999761581421 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.55852247 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |