Personalized Functional Brain Network Topography Predicts Individual Differences in Youth Cognition Article Swipe
Arielle S. Keller
,
Adam Pines
,
Valerie J. Sydnor
,
Zaixu Cui
,
Maxwell A. Bertolero
,
Ran Barzilay
,
Aaron Alexander‐Bloch
,
Nora Byington
,
Andrew A. Chen
,
Gregory M. Conan
,
Christos Davatazikos
,
Eric Feczko
,
Timothy Hendrickson
,
Audrey Houghton
,
Bart Larsen
,
Hongming Li
,
Óscar Miranda-Domínguez
,
David R. Roalf
,
Anders Perrone
,
Sheila Shanmugan
,
Russell T. Shinohara
,
Yong Fan
,
Damien A. Fair
,
Theodore D. Satterthwaite
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.10.11.511823
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.10.11.511823
Individual differences in cognition during childhood are associated with important social, physical, and mental health outcomes in adolescence and adulthood. Given that cortical surface arealization during development reflects the brain’s functional prioritization, quantifying variation in the topography of functional brain networks across the developing cortex may provide insight regarding individual differences in cognition. We test this idea by defining personalized functional networks (PFNs) that account for interindividual heterogeneity in functional brain network topography in 9-10 year olds from the Adolescent Brain Cognitive Development SM Study. Across matched discovery (n=3,525) and replication (n=3,447) samples, the total cortical representation of fronto-parietal PFNs positively correlated with general cognition. Cross-validated ridge regressions trained on PFN topography predicted cognition across domains, with prediction accuracy increasing along the cortex’s sensorimotor-association organizational axis. These results establish that functional network topography heterogeneity is associated with individual differences in cognition before the critical transition into adolescence.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2022.10.11.511823
- https://www.biorxiv.org/content/biorxiv/early/2022/10/14/2022.10.11.511823.full.pdf
- OA Status
- green
- Cited By
- 7
- References
- 82
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4306318182
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4306318182Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2022.10.11.511823Digital Object Identifier
- Title
-
Personalized Functional Brain Network Topography Predicts Individual Differences in Youth CognitionWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-10-14Full publication date if available
- Authors
-
Arielle S. Keller, Adam Pines, Valerie J. Sydnor, Zaixu Cui, Maxwell A. Bertolero, Ran Barzilay, Aaron Alexander‐Bloch, Nora Byington, Andrew A. Chen, Gregory M. Conan, Christos Davatazikos, Eric Feczko, Timothy Hendrickson, Audrey Houghton, Bart Larsen, Hongming Li, Óscar Miranda-Domínguez, David R. Roalf, Anders Perrone, Sheila Shanmugan, Russell T. Shinohara, Yong Fan, Damien A. Fair, Theodore D. SatterthwaiteList of authors in order
- Landing page
-
https://doi.org/10.1101/2022.10.11.511823Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2022/10/14/2022.10.11.511823.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/2022/10/14/2022.10.11.511823.full.pdfDirect OA link when available
- Concepts
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Cognition, Psychology, Functional connectivity, Cognitive psychology, Cognitive network, Functional organization, Social cognition, Association (psychology), Functional specialization, Neuroscience, Developmental psychology, Computer science, Telecommunications, Psychotherapist, Wireless, Cognitive radioTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
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2024: 2, 2023: 5Per-year citation counts (last 5 years)
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82Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| counts_by_year[1].year | 2023 |
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| primary_location.source.host_organization_name | Cold Spring Harbor Laboratory |
| primary_location.source.host_organization_lineage | https://openalex.org/I2750212522 |
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| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
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| publication_date | 2022-10-14 |
| publication_year | 2022 |
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| abstract_inverted_index.by | 58 |
| abstract_inverted_index.in | 3, 17, 35, 52, 69, 74, 140 |
| abstract_inverted_index.is | 135 |
| abstract_inverted_index.of | 38, 98 |
| abstract_inverted_index.on | 110 |
| abstract_inverted_index.PFN | 111 |
| abstract_inverted_index.and | 13, 19, 90 |
| abstract_inverted_index.are | 7 |
| abstract_inverted_index.for | 66 |
| abstract_inverted_index.may | 46 |
| abstract_inverted_index.the | 29, 36, 43, 79, 94, 122, 143 |
| abstract_inverted_index.9-10 | 75 |
| abstract_inverted_index.PFNs | 100 |
| abstract_inverted_index.from | 78 |
| abstract_inverted_index.idea | 57 |
| abstract_inverted_index.into | 146 |
| abstract_inverted_index.olds | 77 |
| abstract_inverted_index.test | 55 |
| abstract_inverted_index.that | 22, 64, 130 |
| abstract_inverted_index.this | 56 |
| abstract_inverted_index.with | 9, 103, 117, 137 |
| abstract_inverted_index.year | 76 |
| abstract_inverted_index.Brain | 81 |
| abstract_inverted_index.Given | 21 |
| abstract_inverted_index.These | 127 |
| abstract_inverted_index.along | 121 |
| abstract_inverted_index.axis. | 126 |
| abstract_inverted_index.brain | 40, 71 |
| abstract_inverted_index.ridge | 107 |
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| abstract_inverted_index.insight | 48 |
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| abstract_inverted_index.results | 128 |
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| abstract_inverted_index.defining | 59 |
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| abstract_inverted_index.networks | 41, 62 |
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| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5039906500 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 24 |
| corresponding_institution_ids | https://openalex.org/I4210127693, https://openalex.org/I79576946 |
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| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |