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A precision functional atlas of personalized network topography and probabilities.
Hermosillo, Robert J M; Moore, Lucille A; Feczko, Eric; Miranda-Domínguez, Óscar; Pines, Adam; Dworetsky, Ally; Conan, Gregory; Mooney, Michael A; Randolph, Anita; Graham, Alice; Adeyemo, Babatunde; Earl, Eric; Perrone, Anders; Carrasco, Cristian Morales; Uriarte-Lopez, Johnny; Snider, Kathy; Doyle, Olivia; Cordova, Michaela; Koirala, Sanju; Grimsrud, Gracie J; Byington, Nora; Nelson, Steven M; Gratton, Caterina; Petersen, Steven; Feldstein Ewing, Sarah W; Nagel, Bonnie J; Dosenbach, Nico U F; Satterthwaite, Theodore D; Fair, Damien A.
Afiliação
  • Hermosillo RJM; Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA. hermosir@umn.edu.
  • Moore LA; Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA. hermosir@umn.edu.
  • Feczko E; Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.
  • Miranda-Domínguez Ó; Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
  • Pines A; Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.
  • Dworetsky A; Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
  • Conan G; Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA.
  • Mooney MA; Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.
  • Randolph A; Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
  • Graham A; Department of Psychology, Northwestern University, Evanston, IL, USA.
  • Adeyemo B; Department of Psychology, Florida State University, Tallahassee, FL, USA.
  • Earl E; Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.
  • Perrone A; Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA.
  • Carrasco CM; Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA.
  • Uriarte-Lopez J; Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA.
  • Snider K; Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
  • Doyle O; Center for Mental Health Innovation, Oregon Health and Science University, Portland, OR, USA.
  • Cordova M; Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.
  • Koirala S; Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
  • Grimsrud GJ; Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA.
  • Byington N; Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
  • Nelson SM; Data Science and Sharing Team, National Institute of Mental Health, Bethesda, MD, USA.
  • Gratton C; Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.
  • Petersen S; Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.
  • Feldstein Ewing SW; Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
  • Nagel BJ; Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA.
  • Dosenbach NUF; Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA.
  • Satterthwaite TD; Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA.
  • Fair DA; Joint Doctoral Program in Clinical Psychology, San Diego State University, San Diego, CA, USA.
Nat Neurosci ; 27(5): 1000-1013, 2024 May.
Article em En | MEDLINE | ID: mdl-38532024
ABSTRACT
Although the general location of functional neural networks is similar across individuals, there is vast person-to-person topographic variability. To capture this, we implemented precision brain mapping functional magnetic resonance imaging methods to establish an open-source, method-flexible set of precision functional network atlases-the Masonic Institute for the Developing Brain (MIDB) Precision Brain Atlas. This atlas is an evolving resource comprising 53,273 individual-specific network maps, from more than 9,900 individuals, across ages and cohorts, including the Adolescent Brain Cognitive Development study, the Developmental Human Connectome Project and others. We also generated probabilistic network maps across multiple ages and integration zones (using a new overlapping mapping technique, Overlapping MultiNetwork Imaging). Using regions of high network invariance improved the reproducibility of executive function statistical maps in brain-wide associations compared to group average-based parcellations. Finally, we provide a potential use case for probabilistic maps for targeted neuromodulation. The atlas is expandable to alternative datasets with an online interface encouraging the scientific community to explore and contribute to understanding the human brain function more precisely.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Imageamento por Ressonância Magnética / Conectoma Limite: Adolescent / Adult / Child / Female / Humans / Male Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Imageamento por Ressonância Magnética / Conectoma Limite: Adolescent / Adult / Child / Female / Humans / Male Idioma: En Ano de publicação: 2024 Tipo de documento: Article