Socioeconomic Resources are Associated with Distributed Alterations of the Brain’s Intrinsic Functional Architecture in Youth Article Swipe
Chandra Sripada
,
Arianna M. Gard
,
Mike Angstadt
,
Aman Taxali
,
Tristan Greathouse
,
Katherine McCurry
,
Luke W. Hyde
,
Alexander Weigard
,
Peter Walczyk
,
Mary M. Heitzeg
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.06.07.495160
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.06.07.495160
Little is known about how exposure to limited socioeconomic resources (SER) in childhood gets “under the skin” to shape brain development, especially using rigorous whole-brain multivariate methods in large, adequately powered samples. The present study examined resting state functional connectivity patterns from 5,821 youth in the Adolescent Brain Cognitive Development (ABCD) study, employing multivariate methods across three levels: whole-brain, network-wise, and connection-wise. Across all three levels, SER was associated with widespread alterations across the connectome. However, critically, we found that parental education was the primary driver of neural associations of SER. These parental education associations were robust to additional tests for confounding by head motion, and they exhibited notable concentrations in somatosensory and subcortical regions. Moreover, parental education associations with the developing connectome were partially accounted for by home enrichment activities, child’s cognitive abilities, and child’s grades, indicating interwoven links between parental education, child stimulation, and child cognitive performance. These results add a new data-driven, multivariate perspective on links between household SER and the child’s developing functional connectome.
Related Topics
Concepts
Socioeconomic status
Connectome
Cognition
Functional connectivity
Human Connectome Project
Developmental psychology
Multivariate statistics
Psychology
Multivariate analysis
Resting state fMRI
Confounding
Perspective (graphical)
Cognitive development
Neuroscience
Medicine
Computer science
Environmental health
Population
Pathology
Machine learning
Internal medicine
Artificial intelligence
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2022.06.07.495160
- https://www.biorxiv.org/content/biorxiv/early/2022/07/01/2022.06.07.495160.full.pdf
- OA Status
- green
- Cited By
- 1
- References
- 85
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4281740099
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4281740099Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2022.06.07.495160Digital Object Identifier
- Title
-
Socioeconomic Resources are Associated with Distributed Alterations of the Brain’s Intrinsic Functional Architecture in YouthWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-06-09Full publication date if available
- Authors
-
Chandra Sripada, Arianna M. Gard, Mike Angstadt, Aman Taxali, Tristan Greathouse, Katherine McCurry, Luke W. Hyde, Alexander Weigard, Peter Walczyk, Mary M. HeitzegList of authors in order
- Landing page
-
https://doi.org/10.1101/2022.06.07.495160Publisher landing page
- PDF URL
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https://www.biorxiv.org/content/biorxiv/early/2022/07/01/2022.06.07.495160.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.biorxiv.org/content/biorxiv/early/2022/07/01/2022.06.07.495160.full.pdfDirect OA link when available
- Concepts
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Socioeconomic status, Connectome, Cognition, Functional connectivity, Human Connectome Project, Developmental psychology, Multivariate statistics, Psychology, Multivariate analysis, Resting state fMRI, Confounding, Perspective (graphical), Cognitive development, Neuroscience, Medicine, Computer science, Environmental health, Population, Pathology, Machine learning, Internal medicine, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1Per-year citation counts (last 5 years)
- References (count)
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85Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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