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Related Experiment Video

Updated: Jan 16, 2026

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Published on: June 3, 2020

Joint Aging Patterns in Brain Function and Structure Revealed Using 27,793 Samples.

Yuhui Du¹, Ruotong Li¹, Ying Xing¹

¹School of Computer and Information Technology, Shanxi University, Taiyuan, China.

Research (Washington, D.C.)

|September 29, 2025

Summary

This summary is machine-generated.

Aging impacts brain structure and function. Multimodal analysis reveals synergistic and compensatory changes in brain networks and gray matter, linked to cognitive decline and reaction time.

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Area of Science:

Neuroscience
Aging Research
Brain Imaging

Background:

Aging significantly alters brain structure and function.
The interplay between functional network connectivity (FNC) and gray matter volume (GMV) changes during aging is not fully understood.

Purpose of the Study:

To develop a unified framework for predicting age using multimodal brain data.
To identify and validate aging-related changes in FNC and GMV.
To investigate joint function-structure aging patterns and their association with cognitive decline.

Main Methods:

Utilized a large UK Biobank dataset (27,793 healthy subjects, ages 49-76).
Employed single-modal and multimodal approaches for age prediction.
Developed a novel analysis to reveal joint aging patterns in FNC and GMV.

Main Results:

Multimodal age prediction outperformed single modality.
Identified synergistic decreases in FNC and GMV in cerebellum, frontal pole, paracingulate gyrus, and precuneus cortex.
Observed contradictory changes (increased FNC, decreased GMV) in occipital regions, suggesting compensation.
Joint decreases in FNC and GMV in specific regions correlated with reaction time.

Conclusions:

Multimodal brain analysis is crucial for understanding aging.
Aging involves diverse joint function-structure changes with region-specific patterns.
These changes are associated with cognitive function, offering insights into age-related cognitive deterioration.