A general exposome factor explains individual differences in functional brain network topography and cognition in youth.

Autor:	Keller AS; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA., Moore TM; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Children's Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Luo A; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA., Visoki E; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA; Department of Child and Adolescent Psychiatry and Behavioral Science, Children's Hospital of Philadelphia, Philadelphia, PA, USA., Gataviņš MM; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Children's Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Shetty A; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA., Cui Z; Chinese Institute for Brain Research, Beijing, China., Fan Y; Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA., Feczko E; Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA., Houghton A; Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA., Li H; Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA., Mackey AP; Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA., Miranda-Dominguez O; Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA., Pines A; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA., Shinohara RT; Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA., Sun KY; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA., Fair DA; Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA; Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN 55414, USA., Satterthwaite TD; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Children's Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: sattertt@pennmedicine.upenn.edu., Barzilay R; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute, Children's Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Child and Adolescent Psychiatry and Behavioral Science, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Jazyk:	angličtina
Zdroj:	Developmental cognitive neuroscience [Dev Cogn Neurosci] 2024 Apr; Vol. 66, pp. 101370. Date of Electronic Publication: 2024 Apr 02.
DOI:	10.1016/j.dcn.2024.101370
Abstrakt:	Childhood environments are critical in shaping cognitive neurodevelopment. With the increasing availability of large-scale neuroimaging datasets with deep phenotyping of childhood environments, we can now build upon prior studies that have considered relationships between one or a handful of environmental and neuroimaging features at a time. Here, we characterize the combined effects of hundreds of inter-connected and co-occurring features of a child's environment ("exposome") and investigate associations with each child's unique, multidimensional pattern of functional brain network organization ("functional topography") and cognition. We apply data-driven computational models to measure the exposome and define personalized functional brain networks in pre-registered analyses. Across matched discovery (n=5139, 48.5% female) and replication (n=5137, 47.1% female) samples from the Adolescent Brain Cognitive Development study, the exposome was associated with current (ages 9-10) and future (ages 11-12) cognition. Changes in the exposome were also associated with changes in cognition after accounting for baseline scores. Cross-validated ridge regressions revealed that the exposome is reflected in functional topography and can predict performance across cognitive domains. Importantly, a single measure capturing a child's exposome could more accurately and parsimoniously predict cognition than a wealth of personalized neuroimaging data, highlighting the importance of children's complex, multidimensional environments in cognitive neurodevelopment. Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Theodore D. Satterthwaite reports financial support was provided by National Institute of Mental Health. Damien A. Fair reports financial support was provided by National Institute of Mental Health. Ran Barzilay reports financial support was provided by National Institute of Mental Health. Russell T. Shinohara reports financial support was provided by National Institute of Mental Health. Arielle S. Keller reports financial support was provided by National Institute of Neurological Disorders and Stroke. Arielle S. Keller reports financial support was provided by National Institute of Mental Health. Ran Barzilay reports a relationship with Taliaz Health that includes: board membership and equity or stocks. Ran Barzilay reports a relationship with Zynerba Pharmaceuticals, Inc that includes: board membership. Russell T. Shinohara reports a relationship with Genentech that includes: consulting or advisory. Russell T. Shinohara reports a relationship with Octave Bioscience that includes: consulting or advisory. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Databáze:	MEDLINE
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