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Updated: Aug 2, 2025

Measurement of Spatial Stability in Precision Grip
Published on: June 4, 2020
How we get a grip: Microstructural neural correlates of manual grip strength in children
Olivia Surgent1, Jose Guerrero-Gonzalez2, Douglas C Dean3
1Waisman Center, University of Wisconsin-Madison, Madison, WI, United States; Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, United States.
Insights
Stronger grip strength in children is linked to better brain-body communication, specifically in sensory and motor pathways. This suggests increased myelination in these neural networks supports enhanced grip capabilities.
Area of Science:
- Neuroscience
- Developmental Biology
- Biomedical Imaging
Background:
- Maximal grip strength correlates with health outcomes, reflecting brain-body communication efficiency.
- Primate models link grip strength to the cortical lateral grasping network, but human pediatric data is scarce.
- The role of proprioceptive and cerebellar networks in grip strength remains unclear in children.
Purpose of the Study:
- To investigate the association between white matter microstructure in specific brain networks and grip strength in children.
- To explore the translatability of non-human primate grip strength models to human pediatric populations.
- To examine the neurobiological underpinnings of grip strength in relation to sensory and motor pathways.
Main Methods:
- Utilized high-resolution, multi-shell diffusion and quantitative T1 imaging in 70 children.
- Assessed white matter microstructure in the lateral grasping, proprioception input, and cortico-cerebellar modification networks.
- Correlated imaging metrics (fractional anisotropy, R1) with maximal grip strength measurements.
Main Results:
- Stronger grip strength positively correlated with higher fractional anisotropy and R1 in the lateral grasping and proprioception input networks.
- These findings suggest increased microstructural coherence and myelination in cortical sensory and motor pathways.
- No significant relationships were observed within the cerebellar modification network.
Conclusions:
- Increased myelination of cortical sensory and motor pathways is neurobiologically linked to stronger grip strength in children.
- This mechanism may represent a broader signature of pediatric neuro-motor development.
- Grip strength serves as a potential indicator of foundational brain-body communication efficiency in pediatric populations.
Abstract:
Maximal grip strength is associated with a variety of health-related outcome measures and thus may be reflective of the efficiency of foundational brain-body communication. Non-human primate models of grip strength strongly implicate the cortical lateral grasping network, but little is known about the translatability of these models to human children. Further, it is unclear how supplementary networks that provide proprioceptive information and cerebellar-based motor command modification are associated with maximal grip strength. Therefore, this study employed high resolution, multi-shell diffusion and quantitative T1 imaging to examine how variations in lateral grasping, proprioception input, and cortico-cerebellar modification network white matter microstructure are associated with variations in grip strength across 70 children. Results indicated that stronger grip strength was associated with higher lateral grasping and proprioception input network fractional anisotropy and R1, indirect measures consistent with stronger microstructural coherence and increased myelination. No relationships were found in the cerebellar modification network. These results provide a neurobiological mechanism of grip behavior in children which suggests that increased myelination of cortical sensory and motor pathways is associated with stronger grip. This neurobiological mechanism may be a signature of pediatric neuro-motor behavior more broadly as evidenced by the previously demonstrated relationships between grip strength and behavioral outcome measures across a variety of clinical and non-clinical populations.
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