Sensory Reweighting Revealed by Superior Parietal Cortex-Based Functional Connectivity in Chronic Ankle Instability:
Xiao'ao Xue1, Shanshan Zheng, Zikun Wang1
1Department of Sports Medicine, Huashan Hospital, Fudan University, Shanghai, CHINA.
Medicine and Science in Sports and Exercise
|May 27, 2025
Summary
Individuals with chronic ankle instability (CAI) show increased reliance on visual input for balance. This is linked to altered brain connectivity, particularly involving the superior parietal cortex (SPC) and cerebellum.
Area of Science:
- Neuroscience
- Biomechanics
- Human Motor Control
Background:
- Chronic ankle instability (CAI) is associated with impaired somatosensory function, leading to a presumed increased reliance on visual input for postural control.
- The precise neural mechanisms driving this sensory reweighting in CAI remain incompletely understood.
Purpose of the Study:
- To investigate the neural and behavioral correlates of heightened visual reliance in individuals with CAI.
- To explore functional connectivity (FC) patterns in the brain associated with sensory reweighting in CAI.
Main Methods:
- A cross-sectional study involving 37 CAI patients and 36 healthy controls.
- Postural stability assessed via single-leg stance tests (eyes open/closed) to calculate Romberg ratios.
- Resting-state functional MRI (fMRI) used to analyze FC between the superior parietal cortex (SPC) and visual, sensorimotor, and cerebellar regions.
Main Results:
- CAI patients exhibited significantly greater visual reliance compared to controls, evidenced by sway length Romberg ratios.
- Stronger FC was observed between the SPC and visual cortices in CAI patients.
- Increased variability in FC between the SPC and the cerebellar anterior lobe was noted in CAI patients.
Conclusions:
- CAI is characterized by significant visual reliance, driven by neural alterations in sensory reweighting.
- Altered functional connectivity, including strong but variable SPC-visual cortex links and variable SPC-cerebellar connections, underlies this increased visual dependency in CAI.


