ArticleNeuron2023
Development of top-down cortical propagations in youth.
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21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Macroscale Gradient Dysfunction in Alzheimer's Disease: Patterns With Cognition Terms and Gene Expression Profiles.Human brain mapping · 2024Pooled it
- Top-down feedback in deep neural networks leads to functional differences during audiovisual integration.eLife · 2026Article
- Region- and Layer-Specific Glutamatergic Synapse Development in the Nascent Cortical Hierarchy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Human cortex organizes dynamic co-fluctuations along the sensorimotor-association axis.Nature communications · 2026Article
- Hierarchical Flows of Human Cortical Activity.bioRxiv : the preprint server for biology · 2026Article
- Controlling the human connectome with spatially diffuse input signals.Communications biology · 2026Article
- Subtypes of adolescent major depressive disorder characterized by divergent information dynamics in sensory-association cortices.Nature communications · 2026Article
- Developmental variations in recurrent spatiotemporal brain propagations from childhood to adulthood.Nature communications · 2026Article
- Lag-structure in fMRI across Three Psychiatric Groups: State-dependency and Clinical-behavioral Correlates.Brain topography · 2025Article
- Age-Related Changes in Brain Structure in Pediatric Chronic Kidney Disease.JAMA network open · 2025Article
- Functional Connectome Hierarchy in Schizotypy and Its Associations With Expression of Schizophrenia-Related Genes.Schizophrenia bulletin · 2024Article
- Shaping dynamical neural computations using spatiotemporal constraints.Biochemical and biophysical research communications · 2024Review
- Local and long-range input balance: A framework for investigating frontal cognitive circuit maturation in health and disease.Science advances · 2024Review
- Deciphering the functional specialization of whole-brain spatiomolecular gradients in the adult brain.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Morphometric brain organization across the human lifespan reveals increased dispersion linked to cognitive performance.PLoS biology · 2024Article
- Controlling the human connectome with spatially diffuse input signals.bioRxiv : the preprint server for biology · 2024Article
- Phase-encoded fMRI tracks down brainstorms of natural language processing with subsecond precision.Human brain mapping · 2024Article
- Article
- Analogous cortical reorganization accompanies entry into states of reduced consciousness during anesthesia and sleep.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Interacting spiral wave patterns underlie complex brain dynamics and are related to cognitive processing.Nature human behaviour · 2023Article
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Authors and funding
21 authors.
Adam PinesDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA; The Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA.
Arielle S KellerThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA.
Bart LarsenThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA.
Maxwell BertoleroThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA.
Arian AshourvanDepartment of Psychology, The University of Kansas, Lawrence, KS 66045, USA.
Dani S BassettDepartment of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA; Departments of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Electrical & Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Physics & Astronomy, The University of Pennsylvania, Philadelphia, PA 19104, USA; Santa Fe Institute, Santa Fe, NM 87051, USA.
Matthew CieslakThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA.
Sydney CovitzThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA.
Yong FanDepartment of Radiology, The University of Pennsylvania, Philadelphia, PA 19104, USA.
Eric FeczkoMasonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN 55414, USA.
Audrey HoughtonMasonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN 55414, USA.
Amanda R RueterMasonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN 55414, USA.
Manish SaggarDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA.
Golia ShafieiThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA.
Tinashe M TaperaThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA.
Jacob VogelThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA.
Sarah M WeinsteinDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Russell T ShinoharaDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Leanne M WilliamsDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94304, USA.
Damien A FairMasonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN 55414, USA.
Theodore D SatterthwaiteThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: sattertt@pennmedicine.upenn.edu.
Funding
ABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3MMapping the Human Connectome During Typical DevelopmentU01MH109589 · NIMH · WASHINGTON UNIVERSITY · PI BARCH, DEANNA, BOOKHEIMER, SUSAN Y · 2016 to 2019
$17.1MStatistical Methods for Multilevel Multivariate Functional StudiesR01NS060910 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Ciprian M Crainiceanu · 2009 to 2026
$8.3MLongitudinal Mapping of Network Development Underlying Executive Dysfunction in AdolescenceR01MH113550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Danielle Smith Bassett, Theodore Satterthwaite · 2018 to 2026
$6.9MPersonalized Functional Network Modeling to Characterize and Predict Psychopathology in YouthR01EB022573 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Yong Fan, Theodore Satterthwaite · 2016 to 2026
$6.0MInter-modal Coupling Image AnalyticsR01MH112847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Theodore Satterthwaite, Russell Takeshi Shinohara · 2017 to 2026
$5.9MPrecision mapping of individualized executive networks in youthR37MH125829 · NIMH · UNIVERSITY OF MINNESOTA · PI Damien A Fair, Theodore Satterthwaite · 2021 to 2026
$4.7MHarmonization of Multi-Site Neuroimaging Data from Complex Study DesignsR01MH123550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2020 to 2025
$4.0MBrain trajectories in ADHDR01MH115357 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI FAIR, DAMIEN A, NIGG, JOEL T · 2017 to 2021
$3.8MReproducible imaging-based brain growth charts for psychiatryR01MH120482 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MILHAM, MICHAEL PETER, SATTERTHWAITE, THEODORE · 2019 to 2023
$3.5MExamining the hierarchical structure of the RDoC framework using large-scale data-driven computational approachesR01MH127608 · NIMH · STANFORD UNIVERSITY · PI SAGGAR, MANISH · 2021 to 2025
$3.3MMapping connectomes for disordered emotional statesU01MH109985 · NIMH · STANFORD UNIVERSITY · PI WILLIAMS, LEANNE · 2017 to 2020
$3.1MNIBIB NIH HHS R01 EB022573NIDA NIH HHS U01 DA041148NIH HHS S10 OD023495NIMH NIH HHS DP2 MH119735NIMH NIH HHS F31 MH123063NIMH NIH HHS K99 MH127293NIMH NIH HHS R01 MH112847NIMH NIH HHS R01 MH113550NIMH NIH HHS R01 MH115357NIMH NIH HHS R01 MH120482NIMH NIH HHS R01 MH123550NIMH NIH HHS R01 MH123563NIMH NIH HHS R01 MH127608NIMH NIH HHS R37 MH125829NIMH NIH HHS RF1 MH116920NIMH NIH HHS RF1 MH121867NIMH NIH HHS U01 MH109589NIMH NIH HHS U01 MH109985NINDS NIH HHS R01 NS060910
Abstract
Hierarchical processing requires activity propagating between higher- and lower-order cortical areas. However, functional neuroimaging studies have chiefly quantified fluctuations within regions over time rather than propagations occurring over space. Here, we leverage advances in neuroimaging and computer vision to track cortical activity propagations in a large sample of youth (n = 388). We delineate cortical propagations that systematically ascend and descend a cortical hierarchy in all individuals in our developmental cohort, as well as in an independent dataset of densely sampled adults. Further, we demonstrate that top-down, descending hierarchical propagations become more prevalent with greater demands for cognitive control as well as with development in youth. These findings emphasize that hierarchical processing is reflected in the directionality of propagating cortical activity and suggest top-down propagations as a potential mechanism of neurocognitive maturation in youth.
Indexed as
Adolescent DevelopmentCerebral CortexChild DevelopmentFunctional NeuroimagingAdolescentAdultChildCognitionCohort StudiesDatasets as TopicFemaleHumansMaleOptic FlowYoung Adultadolescencecognitive controlcomputer visionfMRIfunctional imaginghierarchyinfraslowneurodevelopmentoptical flowpropagations
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