Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity.
Citations
869 citations
Cites methods from "Benchmarking of participant-level c..."
...RSFC preprocessing—Additional preprocessing steps to reduce spurious variance unlikely to reflect neuronal activity were executed as recommended in (Ciric et al., 2017; Power et al., 2014)....
[...]
...Additional preprocessing steps to reduce spurious variance unlikely to reflect neuronal activity were executed as recommended in (Ciric et al., 2017; Power et al., 2014)....
[...]
611 citations
564 citations
520 citations
469 citations
References
83,420 citations
"Benchmarking of participant-level c..." refers methods in this paper
...This distribution was used to obtain two measures of the pipeline's ability to mitigate motion artifact, including: 1) the number of edges significantly related to motion, which was computed after using the false discovery rate (FDR; Benjamini and Hochberg, 1995) to account for multiple comparisons; and 2) the median absolute value of all QC-FC correlations....
[...]
...…ability to mitigate motion artifact, including: 1) the number of edges significantly related to motion, which was computed after using the false discovery rate (FDR; Benjamini and Hochberg, 1995) to account for multiple comparisons; and 2) the median absolute value of all QC-FC correlations....
[...]
29,504 citations
"Benchmarking of participant-level c..." refers methods in this paper
...All graphs were generated using ggplot2 in R version 3.2.3 (Wickham, 2009); brain renderings were prepared in BrainNet Viewer (Xia et al., 2013)....
[...]
14,429 citations
"Benchmarking of participant-level c..." refers methods in this paper
...Finally, the modularity quality of the resultant consensus partition was estimated according to an established null model (Girvan and Newman, 2002); the mean of Q values across subjects provided an estimate of the sub-network definition still present in the connectome after de-noising....
[...]
13,519 citations
"Benchmarking of participant-level c..." refers methods in this paper
...To determine Q, community detection was performed on each subject's de-noised network using the Louvain heuristic (Blondel et al., 2008), which partitions the connectome into sub-networks in a manner that maximizes the value of Q....
[...]
11,078 citations