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Related Experiment Video

Updated: Jan 15, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
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Dense Phenotyping of Human Brain Network Organization Using Precision fMRI.

Caterina Gratton1,2,3, Rodrigo M Braga4,5

  • 1Department of Psychology, University of Illinois Urbana-Champaign, Champaign, Illinois, USA;

Annual Review of Psychology
|October 8, 2025
PubMed
Summary

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Precision functional magnetic resonance imaging (fMRI) reveals unique brain network organization in individuals. This approach uncovers common organizational principles and individual variations, advancing cognitive neuroscience research.

Area of Science:

  • Cognitive Neuroscience
  • Neuroimaging
  • Brain Network Analysis

Background:

  • Functional magnetic resonance imaging (fMRI) revolutionized cognitive neuroscience by mapping brain networks.
  • Traditional group-level fMRI analysis obscures individual brain uniqueness and network topography.
  • Individual brain structure and functional organization vary significantly across people.

Purpose of the Study:

  • To review recent findings on precision fMRI and its application in understanding brain organization.
  • To explore how precision fMRI accounts for individual variation to identify core brain principles.
  • To characterize the nature and significance of human brain variability in functional organization.

Main Methods:

  • Extensive single-subject scanning using precision fMRI.
Keywords:
fMRIfunctional magnetic resonance imaginglarge-scale networksprecision neuroimaging

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Last Updated: Jan 15, 2026

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  • Reliable mapping of whole-brain network organization within individuals.
  • Analysis of functional neuroanatomy to reveal commonalities and variations.

    • Main Results:

    • Precision fMRI provides a detailed view of functional neuroanatomy, highlighting features missed by group analyses.
    • Individual brain network topography is unique, yet common organizational principles emerge.
    • The approach differentiates between stochastic variation and measurement noise.

    Conclusions:

    • Precision fMRI enables the identification of core principles of brain organization by accounting for individual differences.
    • It allows for detailed characterization of how and why human brains vary.
    • Deeper investigation into individual brains reveals overarching organizational principles even amidst variation.