Daniele Mascali1,2, Antonio Maria Chiarelli1, Richard Geoffrey Wise1, and Federico Giove2
1Institute for Advanced Biomedical Technologies, Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio University" of Chieti-Pescara, Chieti, Italy, 2Centro Fermi - Museo storico della fisica e Centro studi e ricerche Enrico Fermi, Rome, Italy
1Institute for Advanced Biomedical Technologies, Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio University" of Chieti-Pescara, Chieti, Italy, 2Centro Fermi - Museo storico della fisica e Centro studi e ricerche Enrico Fermi, Rome, Italy
We provided a quality-control database for the
resting-state data of the young-adult human connectome project. We showed how
to exploit the database to select subjects/scans with opposite noise
characteristics, suitable for benchmarking denoising pipelines.
Figure 2. Pearson’s
correlations between a subset of the extracted QC metrics. The correlation
matrix was obtained considering the whole HCP dataset.
Figure 3. The box plots show the
distributions of some representative QC metrics for the two
samples of LM and HM subjects (n=250 in each sample). The criteria for sample
definition was based on the extreme values of the CensFDDVARS distribution (first
plot) and was limited to scans with RL phase encoding.