Hi Chris,
I am using brainGraph v.3.0.2 with R version 4.2.1 (2022-06-23 ucrt) to conduct MTPC using resting state fmri connectivity matrices prepared in Conn toolbox, transformed to Pearson correlations and restricted to positive values. I have been able to complete this analysis using the brainnetome atlas parcellation, however I originally intended and would still like to use the Schaefer_400p_17network parcellation.
When trying to create either subject level or group level graphs I get the following error:
>
gthresholds <- rev(seq(0.25, 0.5, 0.01))
> g <- vector('list',length(gthresholds))
> for (j in seq_along(gthresholds)) {
g[[j]] <-
make_brainGraphList(A.norm.sub[[j]], atlas='Schaefer_Atlas', set.attrs =TRUE,
modality='fmri', weighting='pearson', threshold=gthresholds[j], weighted=TRUE,
gnames=covars.fmri1$Study.ID, grpNames=covars.fmri1$Group)}
[1]
"Start time: 2022-11-30 16:02:02"
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0%Error in { : task 1 failed - "object
'Schaefer_Atlas' not found"
As far as I can tell my atlas is in the correct format and loaded to my workspace
> str(Schaefer_Atlas)
Classes ‘data.table’ and 'data.frame': 400 obs. of 8 variables:
$ name : chr "VisCentExStr1" "VisCentExStr2" "VisCentExStr3" "VisCentExStr4" ...
$ x.mni : num -36 -24 -36 -16 -24 -42 -8 -46 -24 -40 ...
$ y.mni : num -62 -72 -82 -86 -96 -86 -98 -74 -96 -84 ...
$ z.mni : num -16 -10 -16 -16 -12 -4 -8 6 6 14 ...
$ lobe : Factor w/ 4 levels "Frontal","Occiptal",..: 2 2 2 2 2 2 2 2 2 2 ...
$ hemi : Factor w/ 2 levels "L","R": 1 1 1 1 1 1 1 1 1 1 ...
$ index : num 1 2 3 4 5 6 7 8 9 10 ...
$ network: chr "VisCent" "VisCent" "VisCent" "VisCent" ...
- attr(*, "spec")=
.. cols(
.. name = col_character(),
.. x.mni = col_double(),
.. y.mni = col_double(),
.. z.mni = col_double(),
.. lobe = col_character(),
.. hemi = col_character(),
.. index = col_double(),
.. network = col_character()
.. )
- attr(*, "problems")=<externalptr>
- attr(*, ".internal.selfref")=<externalptr>
- attr(*, "index")= int(0)
..- attr(*, "__name")= int [1:400] 133 335 122 325 123 326 124 327 125 328 ...
> ls()
[1] "A.norm.mean" "A.norm.sub" "anti_datadir"
[4] "atlas" "cl" "covars.all"
[7] "covars.fmri" "covars.fmri1" "datadir"
[10] "divisor" "g" "g.group"
[13] "g.ss" "ggthresholds" "grps"
[16] "gthresholds" "inds" "j"
[19] "matfiles" "modality" "my.mats"
[22] "neg_matfiles" "num.cores" "pos_datadir"
[25] "pos_matfiles" "savedir" "Schaefer"
[28] "Schaefer.Atlas" "Schaefer_Atlas" "Schaefer2"
[31] "Schaefer2018_400Parcels_17Networks_order" "sub.thresh" "threshold.by"
[34] "thresholds" "today"
Attempting to create a graph for a single subject I get the following error and traceback:
> g.ss
<- vector('list',length(1))
> g.ss <- make_brainGraph(A.norm.sub[[1]][,,1], atlas = 'Schaefer_Atlas',
set.attrs =TRUE, modality='fmri', weighting='pearson',
threshold=gthresholds[1], weighted=TRUE, gnames=covars.fmri1$Study.ID[1],
grpNames=covars.fmri1$Group[1])
Error
in rep_len("gray", max(memb)) : invalid 'length.out' value
In
addition: Warning messages:
1: In as_adj(g, names = FALSE, sparse = FALSE, edges = TRUE) :
The `edges` argument of `as_adjacency_matrix` is deprecated; it will be
removed in igraph 1.4.0
2: In eval(jsub, SDenv, parent.frame()) : NAs introduced by coercion
3: In eval(jsub, SDenv, parent.frame()) : NAs introduced by coercion
>
traceback()
5: set_graph_colors(x, paste0("color.", col), DT[vorder,
as.numeric(get(col))])
4: make_brainGraph.igraph(g, atlas, type, level, set.attrs, modality,
weighting, threshold, name, Group, subnet, A = x,
...)
3: make_brainGraph(g, atlas, type, level, set.attrs, modality, weighting,
threshold, name, Group, subnet, A = x, ...)
2: make_brainGraph.matrix(A.norm.sub[[1]][, , 1], atlas =
"Schaefer_Atlas",
set.attrs = TRUE, modality = "fmri",
weighting = "pearson",
threshold = gthresholds[1], weighted = TRUE, gnames
= covars.fmri1$Study.ID[1],
grpNames = covars.fmri1$Group[1])
1: make_brainGraph(A.norm.sub[[1]][, , 1], atlas = "Schaefer_Atlas",
set.attrs = TRUE, modality = "fmri",
weighting = "pearson",
threshold = gthresholds[1], weighted = TRUE, gnames
= covars.fmri1$Study.ID[1],
grpNames = covars.fmri1$Group[1])
I have attached the full session info and the saved atlas object, can provide more if this is not a simple mistake that I'm overlooking. Could you offer any advice as to what I might be missing? Thank you for your time.
Dan
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