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Harvard Aging Brain Study: dataset and accessibility. NeuroImage. 2017;144:255–8. https://doi.org/10.1016/j.neuroimage.2015.03.069. Article PubMed Google Scholar Lopes Alves I, Collij LE, Altomare D, Frisoni GB, Saint-Aubert L, Payoux P, et al. Quantitative amyloid PET in Alzheimer...
The different strategies for FD estimation have also been applied on theInternational Consortium for Brain Mapping(ICBM) dataset. It is composed of MRI examinations of 86 healthy adult and elderly subjects with age ranging from 19 to 85 years (41 males and 45 females, age 44.2 ± 17.1 y...
FSL’s (FMRIB Software Library, v5.0.11) fslmaths was used to concatenate [18F]BCPP-EF DVRCS−1 parametric mages into a 4D dataset. To limit statistical analyses to grey matter voxels only, the 4D image was masked using a 75% probability grey mask derived from the MNI152 template. Th...
Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK Christian F. Beckmann SBGneuro Ltd, Littlemore, Oxford, UK Christian F. Beckmann Contributions LC, MP, DW, CB, AW, and ...
APM, FG and JJ had access to dataset and decision to submit for publication. All authors had full access to all the data in the study and accept responsibility for the decision to submit for publication. Results A total of 942 adolescents were eligible for the study trial (Fig. 1). ...
ii) data reduction with principal component analysis (PCA) to decrease the amount of computation, iii) ICA for the concatenated dataset using the Infomax algorithm, and iv) back-reconstruction of the group independent components into the single-subject space using GICA3 (Erhardt et al., 2011)....
[16, 17] with the dataset of the subjects from subject group 2, who additionally had contrast-enhanced MRI examination. The active contour algorithm from ITK snap (version 3.6.0) was used to extract the aorta volume VA from the contrast-enhanced MR data. Spill-out region was defined by ...
For the negative dataset, 830 brain-enriched genes were selected from the Protein Atlas58. Similarly, their expression profiles were extracted from the healthy brain expression model. Note that both the positive and the negative training datasets come from the gene expression profiles of the brain....
to include markers of neurodevelopment. This is justified because cognition, attentional problems, language, motor and visual capacity are fundamental human functions, and their development reflects the fast growth and maturation of the brain11, which accompany the rapid skeletal growth that occurs in ...