Multi‐scale network regression for brain‐phenotype associations
Human Brain Mapping, vol. 41, pp. 2553–2566
Abstract
Brain networks are increasingly characterized at different scales, including summary statistics, community connectivity, and individual edges. While research relating brain networks to behavioral measurements has yielded many insights into brain-phenotype relationships, common analytical approaches only consider network information at a single scale. Here, we designed, implemented, and deployed Multi-Scale Network Regression (MSNR), a penalized multivariate approach for modeling brain networks that explicitly respects both edge- and community-level information by assuming a low rank and sparse structure, both encouraging less complex and more interpretable modeling. Capitalizing on a large neuroimaging cohort (n = 1, 051), we demonstrate that MSNR recapitulates interpretable and statistically significant connectivity patterns associated with brain development, sex differences, and motion-related artifacts. Compared to single-scale methods, MSNR achieves a balance between prediction performance and model complexity, with improved interpretability. Together, by jointly exploiting both edge- and community-level information, MSNR has the potential to yield novel insights into brain-behavior relationships.
Authors 9
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Affiliation as printed
Department of Psychiatry Perelman School of Medicine, University of Pennsylvania Philadelphia Pennsylvania USA
Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Affiliation as printed
Department of Statistics The Wharton School, University of Pennsylvania Philadelphia Pennsylvania USA
Department of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Affiliation as printed
Department of Psychiatry Perelman School of Medicine, University of Pennsylvania Philadelphia Pennsylvania USA
Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Institut national de recherche en sciences et technologies du numérique · Commissariat à l'Énergie Atomique et aux Énergies Alternatives · Université Paris-Saclay · Jülich Aachen Research Alliance · McGill University · RWTH Aachen University
Affiliation as printed
Department of Bioengineering McGill University Montreal Canada
Department of Psychiatry, Psychopathology and Psychosomatics RWTH Aachen University Aachen Germany
JARA‐BRAIN, Jülich‐Aachen Research Alliance Jülich Germany
Université Paris‐Saclay, CEA, Inria Gif‐sur‐Yvette France
Department of Bioengineering, McGill University, Montreal, Canada
Department of Psychiatry, Psychopathology and Psychosomatics, RWTH Aachen University, Aachen, Germany
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Institut national de recherche en sciences et technologies du numérique · Commissariat à l'Énergie Atomique et aux Énergies Alternatives · Université Paris-Saclay
Affiliation as printed
Université Paris‐Saclay, CEA, Inria Gif‐sur‐Yvette France
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Santa Fe Institute · University of Pennsylvania
Affiliation as printed
Department of Bioengineering School of Engineering and Applied Science, University of Pennsylvania Philadelphia Pennsylvania USA
Department of Electrical and Systems Engineering School of Engineering and Applied Science, University of Pennsylvania Philadelphia Pennsylvania USA
Department of Neurology Perelman School of Medicine, University of Pennsylvania Philadelphia Pennsylvania USA
Department of Physics and Astronomy School of Arts and Science, University of Pennsylvania Philadelphia Pennsylvania USA
Department of Psychiatry Perelman School of Medicine, University of Pennsylvania Philadelphia Pennsylvania USA
Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Department of Electrical and Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Department of Physics and Astronomy, School of Arts and Science, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Santa Fe Institute, Santa Fe, New Mexico, USA
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Affiliation as printed
Department of Psychiatry Perelman School of Medicine, University of Pennsylvania Philadelphia Pennsylvania USA
Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Russell Taki Shinohara corresponding
Affiliation as printed
Center for Biomedical Imaging Computing and Analytics Perelman School of Medicine, University of Pennsylvania Philadelphia Pennsylvania USA
Penn Statistics and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics Perelman School of Medicine, University of Pennsylvania Philadelphia Pennsylvania USA
Center for Biomedical Imaging Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
Penn Statistics and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Daniela Witten corresponding
Affiliation as printed
Department of Biostatistics School of Public Health, University of Washington Seattle Washington USA
Department of Statistics College of Arts and Science, University of Washington Seattle Washington USA
Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington, USA
Department of Statistics, College of Arts and Science, University of Washington, Seattle, Washington, USA
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