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Updated: Jan 8, 2026

Determining Soil-transmitted Helminth Infection Status and Physical Fitness of School-aged Children
Published on: August 22, 2012
Public Health
Jingyi Wu1, Jinyu Chen1, Juncen Wu1
1The Hong Kong Polytechnic University, Hong Kong, Hong Kong.
Background:
Cognitive frailty is the concurrent presence of mild cognitive impairment (MCI) and physical frailty, causing one to be at greater risk for cognitive decline. Cognitive intraindividual variability (IIV) is a critical component of cognition involved in the maintenance of higher-order processes under load. Greater IIV is hallmark of cognitive frailty and a marker for early signs of impaired cognition and mobility in older adults. However, the underlying neural mechanism of cognitive frailty-related decline in IIV and mobility remains unexplored. This study aimed to clarify the association between brain function, IIV, and mobility in cognitively frail older individuals.
Method:
This cross-sectional study included 17 cognitively frail older adults (CF) and 20 non-cognitively frail older adults (non-CF). Cognitive frailty was operationalized the presence of MCI (i.e., Montreal Cognitive Assessment score ≥ 18/30 and < 26/30) and physical frailty (i.e., Short Physical Performance Battery ≤ 9/12). All participants underwent clinical assessments including the Stroop Test, Trail Making Test, Timed-Up and Go test (TUG), and resting-state functional magnetic resonance imaging. Dispersion across executive tests was computed to ascertain IIV-dispersion. Analysis of covariance was used to determine group differences in IIV-dispersion, adjusting for the Functional Comorbidity Index. Moderation models were constructed to investigate the role of functional neural networks on the association between IIV-dispersion and TUG performance.
Results:
Compared to non-CF, CF exhibited greater IIV-dispersion (p = 0.038), worse TUG performance (p <0.010), lower inter-network connectivity in the DMN, FEN, and SMN (all p <0.050), as well as reduced intra-network connectivity in the DMN and SMN (all p <0.050). Among CF, regional inter-network connectivity between the DMN and FEN (i.e., bilateral middle temporal gyrus (BMTG) and bilateral inferior frontal gyrus (BIFG)) moderated the relationship between IIV-dispersion and TUG performance (R-sq=0.427, p = 0.001, Figure 1). Specifically, compared with individuals with lower BMTG-BIFG connectivity (β=4.082, p <0.001), those with greater BMTG-BIFG connectivity (β=1.561, p = 0.002) showed greater TUG performance under higher IIV-dispersion load. These associations were not observed in non-CF.
Conclusion:
Differences in intra- and inter-network connectivity patterns in large-scale functional neural networks between CF and non-CF may underpin how IIV-dispersion negatively impacts TUG performance in cognitively frail older individuals.
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