… We also examined correlations between different algorithms to see the consistency of … , we
examined relations between image quality and brain age calculation. We examined reliability …

… examination and a … brain age model predicts chronological age perfectly, then we would
observe a Pearson's r = 1, whereas, in an unbiased model, Pearson's r for chronological age …

… Brain age algorithms using data science and machine learning techniques show promise …
and influence brain age estimates. We examined the effects of motion on brain age predictions …

… of several measures of cortical and subcortical structures; in addition to cortical thickness
and subcortical volume, we examined the reliability of estimates of cortical gyrification and …

… Brain Age Reliability by Algorithm, as assessed by Intraclass Correlations We examined
reliability using … For raw brain age, we found good and excellent ICCs for four of the algorithms …

… brain age prediction would constitute a reliable and sensitive method for characterizing
individual level brain … -appearing brain age (which may imply higher cognitive or brain reserve) …

… not yet been examined in older adults. In this study, we investigated age-related differences
in reliability and … In addition, we examined how global signal regression (GSR) affects RSFC …

… For white matter reliability, we examined white matter volume and diffusion tensor imaging
(DTI) metrics based on the 20-structure JHU DTI-based white-matter tractography atlas (Mori, …

… other brain regions, suggesting that dedifferentiation may be a general feature of the aging
brain. In the present study, we used functional magnetic resonance imaging to investigate age…

… reliability of measurements is uncertain. We have established a unique dataset to assess the
repeatability of brain … determination of test-retest reliability both within a single session (intra…