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Identifying Inter-Individual Differences in Cognitive Decline Using the Brain Connectome in Osteoporosis
Chao Li1, Xiaoping Ren1, Kechong Zhou2
1Department of Orthopedics, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, China.
Brain functional connectivity patterns show significant individual differences in osteoporosis (OP) patients, reliably predicting cognitive abilities. This highlights the potential of brain connectome analysis for monitoring neurodegeneration in OP management.
Area of Science:
- Neuroscience
- Endocrinology
- Radiology
Background:
- The bone-brain axis demonstrates bidirectional communication, with osteoporosis (OP) linked to neurodegenerative disorders.
- Individual variability in brain reserve may accelerate cognitive decline in OP patients, necessitating cognitive monitoring.
Purpose of the Study:
- To investigate individual differences in functional brain connectomes.
- To assess the association between functional connectome and cognitive ability in individuals with OP.
Main Methods:
- A longitudinal study involving 31 OP patients and 31 healthy controls (HC).
- Resting-state functional magnetic resonance imaging (fMRI) with 3T scanner.
- Individual identification analyses using functional connectivity profiles and support vector regression to predict cognitive scores (MoCA, MMSE).
Main Results:
- Significant inter-individual variability and intra-individual stability in cognitive performance were observed in both groups.
- Functional connectivity profiles reliably identified individuals across sessions (OP: 85%, HC: 92%).
- Connectivity profiles predicted cognitive ability within and between sessions, with medial-frontal and default-mode networks being key predictors.
Conclusions:
- Resting-state functional connectomes reveal individual variability that correlates with cognitive ability in OP patients.
- This approach shows potential for cognitive monitoring and early detection of neurodegeneration in OP management.
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