In:
eLife, eLife Sciences Publications, Ltd, Vol. 8 ( 2019-05-08)
Abstract:
Previously we showed that network-based modelling of brain connectivity interacts strongly with the shape and exact location of brain regions, such that cross-subject variations in the spatial configuration of functional brain regions are being interpreted as changes in functional connectivity (Bijsterbosch et al., 2018). Here we show that these spatial effects on connectivity estimates actually occur as a result of spatial overlap between brain networks. This is shown to systematically bias connectivity estimates obtained from group spatial ICA followed by dual regression. We introduce an extended method that addresses the bias and achieves more accurate connectivity estimates.
Type of Medium:
Online Resource
ISSN:
2050-084X
DOI:
10.7554/eLife.44890.001
DOI:
10.7554/eLife.44890.002
DOI:
10.7554/eLife.44890.003
DOI:
10.7554/eLife.44890.004
DOI:
10.7554/eLife.44890.005
DOI:
10.7554/eLife.44890.006
DOI:
10.7554/eLife.44890.007
DOI:
10.7554/eLife.44890.008
DOI:
10.7554/eLife.44890.009
DOI:
10.7554/eLife.44890.010
DOI:
10.7554/eLife.44890.011
DOI:
10.7554/eLife.44890.012
DOI:
10.7554/eLife.44890.013
DOI:
10.7554/eLife.44890.020
DOI:
10.7554/eLife.44890.021
Language:
English
Publisher:
eLife Sciences Publications, Ltd
Publication Date:
2019
detail.hit.zdb_id:
2687154-3