Tommy Anders Volume 2 11 VERIFIED
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The findings of this study should be interpreted in lightof some limitations. First, we used a cross-sectional age range to approximate the population distribution of brain phenotypes over the lifespan. However, we cannot exclude the possibility that the human brain undergoes heterochronic changes at a finer level of granularity (eg, within clusters of regions of homology ), although the number of brain phenotypes with age-related changes of this magnitude remains to be determined. Second, although our statistical model accounts for age and sex effects, it does not correct for effects of other major neurodevelopmental variables, such as socioeconomic status (SES), maternal education and intelligence, and nutrition. Thus, neuroimaging studies that have not accounted for these confounding variables may have underestimated the rate at which brain phenotypes change across the lifespan. Third, the choice of MRI protocol may have influenced our results. Our model was designed with the voxel-wise T1-weighted MPRAGE sequence in mind, even though this protocol has known limitations such as anisotropy of bias field correction, partial volume averaging and susceptibility artefact28. Although we mitigated the effects of these limitations by using a linear mixed model and evaluating age-related changes of grey matter density, care must still be taken to account for their effects. Finally, a number of other factors, such as parental feeding practices, prenatal exposure to stress and hormones, cognitive ability, early language development, and early socioeconomic conditions29, may influence the timing of brain development, and these factors cannot be disentangled from the dataset used in this study. However, by combining (or swapping) phenotypes, we hope to be able to separate the effects of such heterochronic processes from those associated with heterochronic plasticity. We also note that all brain charts in this study (Fig. 2, Supplementary Information 7-8) and the whole BrainChart.io website (http://brainchart.io) are publicly available in the online resource section of the paper, with direct links to all data available in the International Neuroimaging Data-Storage Initiative (INDI)30, where they can be accessed free of charge.
General information on the U.S. judicial system in Alaskaprior to statehood appears in the Alaska State AnnualReports, published from 1915 to 1967. The PublicLaw Reports of the U.S. District Courts was publishedfrom 1915 to 1953, and the volumes of the U.S. DistrictCourt Decisions, Alaska Reports, from 1929 to the present,have been found.
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