A precision functional atlas of personalized network topography and probabilities

Robert J M Hermosillo; Lucille A Moore; Eric Feczko; Óscar Miranda-Domínguez; Adam Pines; Ally Dworetsky; Gregory Conan; Michael A Mooney; Anita Randolph; Alice Graham; Babatunde Adeyemo; Eric Earl; Anders Perrone; Cristian Morales Carrasco; Johnny Uriarte-Lopez; Kathy Snider; Olivia Doyle; Michaela Cordova; Sanju Koirala; Gracie J Grimsrud; Nora Byington; Steven M Nelson; Caterina Gratton; Steven Petersen; Sarah W Feldstein Ewing; Bonnie J Nagel; Nico U F Dosenbach; Theodore D Satterthwaite; Damien A Fair

doi:10.1038/s41593-024-01596-5

A precision functional atlas of personalized network topography and probabilities

Nat Neurosci. 2024 May;27(5):1000-1013. doi: 10.1038/s41593-024-01596-5. Epub 2024 Mar 26.

Authors

Robert J M Hermosillo^{1

2}, Lucille A Moore³, Eric Feczko⁴, Óscar Miranda-Domínguez^{3

4}, Adam Pines^{5

6}, Ally Dworetsky^{7

8

9}, Gregory Conan^{3

10}, Michael A Mooney^{10

11

12

13}, Anita Randolph^{3

4}, Alice Graham¹⁰, Babatunde Adeyemo¹⁴, Eric Earl¹⁵, Anders Perrone³, Cristian Morales Carrasco^{3

4}, Johnny Uriarte-Lopez¹⁰, Kathy Snider¹⁰, Olivia Doyle¹⁰, Michaela Cordova^{16

17}, Sanju Koirala^{3

18}, Gracie J Grimsrud³, Nora Byington³, Steven M Nelson^{3

4}, Caterina Gratton^{8

9

19}, Steven Petersen^{7

14

19

20

21}, Sarah W Feldstein Ewing²², Bonnie J Nagel¹⁰, Nico U F Dosenbach¹⁴, Theodore D Satterthwaite^{6

23}, Damien A Fair^{3

4

18}

Affiliations

¹ Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA. hermosir@umn.edu.
² Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA. hermosir@umn.edu.
³ Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.
⁴ Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
⁵ Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA.
⁶ Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.
⁷ Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
⁸ Department of Psychology, Northwestern University, Evanston, IL, USA.
⁹ Department of Psychology, Florida State University, Tallahassee, FL, USA.
¹⁰ Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA.
¹¹ Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA.
¹² Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
¹³ Center for Mental Health Innovation, Oregon Health and Science University, Portland, OR, USA.
¹⁴ Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
¹⁵ Data Science and Sharing Team, National Institute of Mental Health, Bethesda, MD, USA.
¹⁶ Joint Doctoral Program in Clinical Psychology, San Diego State University, San Diego, CA, USA.
¹⁷ Joint Doctoral Program in Clinical Psychology, University of California San Diego, San Diego, CA, USA.
¹⁸ Institute of Child Development, University of Minnesota, Minneapolis, MN, USA.
¹⁹ Department of Psychological and Brain Sciences, Washington University School of Medicine, St. Louis, MO, USA.
²⁰ Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA.
²¹ Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, MO, USA.
²² Department of Psychology, University of Rhode Island, Kingston, RI, USA.
²³ Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.

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.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

MeSH terms

Adolescent
Adult
Atlases as Topic
Brain Mapping / methods
Brain* / diagnostic imaging
Brain* / physiology
Child
Connectome*
Female
Humans
Magnetic Resonance Imaging* / methods
Male
Nerve Net / diagnostic imaging
Nerve Net / physiology
Neural Pathways / physiology
Probability
Young Adult

Abstract

Publication types

MeSH terms

Grants and funding