A precision functional atlas of personalized network topography and probabilities

Robert J M Hermosillo ^1,2, Lucille A Moore ³, Eric Feczko ⁴

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

⁰Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA. hermosir@umn.edu.

Nature Neuroscience +

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March 27, 2024

View abstract on PubMed

Summary

This study introduces the Masonic Institute for the Developing Brain (MIDB) Precision Brain Atlas, an open-source resource mapping individual brain networks. It enhances brain-wide association study reproducibility and aids targeted neuromodulation research.

Area Of Science

Neuroscience
Brain Imaging
Computational Neuroscience

Background

Functional neural networks exhibit significant topographic variability across individuals.
Existing brain atlases often rely on group averages, potentially obscuring individual differences.
Precision mapping is crucial for understanding individual brain function.

Purpose Of The Study

To establish an open-source, flexible set of precision functional network atlases.
To create individual-specific and probabilistic network maps.
To improve the reproducibility of neuroimaging analyses and explore applications in neuromodulation.

Main Methods

Implemented precision brain mapping functional magnetic resonance imaging (fMRI) methods.
Developed the Masonic Institute for the Developing Brain (MIDB) Precision Brain Atlas, including 53,273 individual-specific network maps from over 9,900 individuals.
Generated probabilistic network maps using a novel overlapping mapping technique (Overlapping MultiNetwork Imaging).

Main Results

The atlas provides a large-scale, evolving resource of individual brain network data.
Utilizing regions of high network invariance improved the reproducibility of executive function statistical maps compared to group-based methods.
Probabilistic maps demonstrated potential utility for targeted neuromodulation.

Conclusions

The MIDB Precision Brain Atlas offers a valuable, open-source resource for precise human brain function research.
Individual-specific mapping enhances analytical reproducibility and provides a foundation for personalized neuroscience.
The atlas is designed for expansion and community contribution, fostering collaborative discovery.

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