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Related Experiment Video

Updated: Jun 24, 2026

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
08:43

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

Published on: August 7, 2017

Mapping Whole-Brain Nonlinear Structure-Function Dynamics in Aging via Neural Granger Causality.

Meng Niu1,2, Shanli Ren3, Chen Lin4

  • 1Department of Radiology, The First Hospital of Lanzhou University, Lanzhou, 730000, China.

Brain Topography
|June 23, 2026
PubMed
Summary
This summary is machine-generated.

Older adults show weaker nonlinear brain connectivity than younger adults, with males exhibiting stronger connections. This nonlinear approach reveals crucial insights into age-related cognitive decline.

Keywords:
Brain AgingDiffusion Tensor ImagingFunctional Magnetic Resonance ImageNonlinear Granger ConnectivityStructural–Functional Coupling

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Last Updated: Jun 24, 2026

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A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

Area of Science:

  • Neuroscience
  • Brain Aging Research
  • Network Science

Background:

  • Brain aging involves structural and functional changes, with established links between structural connectivity (SC) and functional connectivity (FC).
  • The patterns of structural-functional coupling (SFC) during aging, especially nonlinear interactions, are under-explored.
  • Traditional fMRI studies often miss nonlinear causal interactions vital for understanding the aging brain.

Purpose of the Study:

  • To investigate whole-brain structural-functional coupling (SFC) using a nonlinear causal approach in aging.
  • To compare nonlinear causal SFC between young and older healthy adults, considering sex differences.
  • To explore static and dynamic SFC patterns at regional and subnetwork levels.

Main Methods:

  • Employed a Nonlinear Granger Causality (NGC) model to assess SFC.
  • Included 227 healthy participants (young: 20-35 years; older: 59-77 years), with sex stratification.
  • Analyzed both static and dynamic SFC at regional and subnetwork scales.

Main Results:

  • Younger adults demonstrated significantly stronger NGC-based SFC than age-matched older adults.
  • Males showed a higher proportion of strong SFC connections compared to age-matched females.
  • A widespread age-related decline in nonlinear causal coupling was observed, particularly in cognitive control and attention networks.

Conclusions:

  • Nonlinear causal relationships are critical for understanding brain network dynamics in aging.
  • The findings highlight age-related declines in nonlinear brain coupling, offering insights into cognitive aging mechanisms.
  • This nonlinear approach provides a deeper understanding of neurodegenerative processes and age-related cognitive changes.