Fig. 5: Sensitivity analysis. | Nature Medicine

Fig. 5: Sensitivity analysis.

From: Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations

Fig. 5

a, Violin plots for the distribution of data quality metrics of fMRI (healthy controls non-LAC, n = 967, MCI non-LAC n = 215, Alzheimer disease non-LAC n = 214, bvFTD non-LAC n = 190, HC LAC n = 477, MCI LAC n = 169, AD LAC n = 505, bvFTD LAC n = 216). b, Violin plots for the distribution of data quality metrics of EEG datasets (HC non-LAC n = 569, HC LAC n = 1486, MCI LAC n = 133, Alzheimer disease LAC n = 108, bvFTD LAC n = 57). Both a and b indicate null results between groups in terms of data quality. c, Linear regression effects of scanner type, evidencing that the fMRI data quality was not significantly associated with fMRI brain-age gaps differences (P = 0.184). d, fMRI brain-age gap differences across groups controlling for scanner differences. The statistical comparisons were calculated using two-sided subsample permutation testing with 5,000 iterations. NS, not significant; ODQ, overall data quality.

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