2022
DOI: 10.1101/2022.03.25.485749
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Subjective cognitive decline predicts lower cingulo-opercular network functional connectivity in individuals with lower neurite density in the forceps minor

Abstract: Cognitive complaints of attention/concentration problems are highly frequent in older adults with subjective cognitive decline (SCD). Functional connectivity in the cingulo-opercular network (CON-FC) supports cognitive control, tonic alertness, and visual processing speed. Thus, those complaints in SCD may reflect a decrease in CON-FC. Frontal white-matter tracts such as the forceps minor exhibit age- and SCD-related alterations and, therefore, might influence the CON-FC decrease in SCD. Here, we aimed to dete… Show more

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“…Individual longitudinal trajectories are captured by a latent intercept (mean) and a latent slope (rate of change). Using LGCM, we simultaneously tested(a) the association between baseline MeDiAd and verbal episodic memory mean and rate of change over four years (five time points) and (b) the mediation of this association via baseline FA of hippocampus-relevant white-matter tracts (Fig 2-3).The latent intercept was centered on the last time point (as inRuiz-Rizzo et al, 2022), i.e., where the slope factor corresponded to zero('Mem4', Fig 2). Note that this adjustment has implications for the interpretation of the parameters related to the latent intercept(Preacher, 2018) but does not modify the interpretation of the parameters related to the latent slope, given that we kept the same scale of the time metric.…”
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confidence: 99%
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“…Individual longitudinal trajectories are captured by a latent intercept (mean) and a latent slope (rate of change). Using LGCM, we simultaneously tested(a) the association between baseline MeDiAd and verbal episodic memory mean and rate of change over four years (five time points) and (b) the mediation of this association via baseline FA of hippocampus-relevant white-matter tracts (Fig 2-3).The latent intercept was centered on the last time point (as inRuiz-Rizzo et al, 2022), i.e., where the slope factor corresponded to zero('Mem4', Fig 2). Note that this adjustment has implications for the interpretation of the parameters related to the latent intercept(Preacher, 2018) but does not modify the interpretation of the parameters related to the latent slope, given that we kept the same scale of the time metric.…”
mentioning
confidence: 99%
“…Specifically, with this adjustment, the intercept factor would now represent the variable status at time point five(Duncan & Duncan, 2009) (i.e., the latent intercept is the 'level' of memory at the fifth time point instead of at baseline). The indicators of the latent variables (i.e., the memory scores across time points) were standardized to the mean and standard deviation of the fourth follow-up to accord with the factor loading adjustment (as inRuiz-Rizzo et al, 2022). Model fit was evaluated with comparative fit index (CFI) or Tucker-Lewis index (TLI) ≥ .95; root mean square error of approximation (RMSEA) < .08; and standardized root mean square residual (SRMR) ≤ .08.…”
mentioning
confidence: 99%