The heritability of multi-modal connectivity in human brain activity
- University of Oxford, United Kingdom
- University of Warwick, United Kingdom
- University of Nottingham, United Kingdom
- Washington University, United States
Figures
Figure 1 with 6 supplements
Contribution of genetic factors to functional connectivity outweighs that of the environment shared between twins.
A. Grand average functional connectome for fMRI and for the theta, alpha and beta MEG oscillatory bands. The coloured edge maps show group-average network matrices for correlations in oscillatory …
Figure 1—figure supplement 1
Heritabilities of fMRI connection strengths.
Parameter estimates for the influence of additive genetics, , on each individual network connection, for partial correlations in BOLD time courses derived from each ROI.
Figure 1—figure supplement 2
Heritability of cortical curvature, and spatial profile of the heritability of functional connections.
Top left: mean heritability of cortical curvature within each ROI. Bottom left: heritability of each fMRI network connection, averaged onto each relevant ROI. Right, top to bottom: heritability of …
Figure 1—video 1
Animated rendering of the fMRI grand-mean network matrices shown in Figure 1A.
https://doi.org/10.7554/eLife.20178.005
Figure 1—video 2
Animated rendering of the theta band (4–8 Hz) grand-mean network matrices shown in Figure 1A.
https://doi.org/10.7554/eLife.20178.006
Figure 1—video 3
Animated rendering of the alpha band (8–13 Hz) grand-mean network matrices shown in Figure 1A.
https://doi.org/10.7554/eLife.20178.007
Figure 1—video 4
Animated rendering of the beta band (13–30 Hz) grand-mean network matrices shown in Figure 1A.
https://doi.org/10.7554/eLife.20178.008
Figure 2
Regions of interest used for functional connectivity estimation.
(A) Primary parcellation of 39 contiguous clusters, identified from a resting-state 100-dimensional group-ICA decomposition of fMRI data from the first 200 subjects of the HCP project. (B) The …
Figure 3
Illustration of pipeline for MEG functional connectivity estimation.
From a whole-brain source-reconstruction, a single time-course is extracted to represent each ROI. These time-courses are bandpass filtered, then orthogonalised to remove shared signal which is …
Additional files
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Supplementary file 1
Index of ROI numbers.
- https://doi.org/10.7554/eLife.20178.011
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Supplementary file 2
Parameter estimates and 95% confidence intervals for the mean genetic and shared environmental contributions to the observed phenotypic variability in functional connectivity and signal power, using the 39-dimensional parcellation derived from high-dimensional ICA on fMRI data.
- https://doi.org/10.7554/eLife.20178.012
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Supplementary file 3
-values for permutation-based significance tests performed for the strength of genetic factors, both before and after a false discovery rate correction for multiple comparisons over the 21 tests performed in this article.
- https://doi.org/10.7554/eLife.20178.013
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Supplementary file 4
Parameter estimates and 95% confidence intervals for the mean genetic and shared environmental contributions to the observed phenotypic variability in functional connectivity and signal power, using the 15-dimensional ICA parcellation from fMRI data.
- https://doi.org/10.7554/eLife.20178.014
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Supplementary file 5
Correlations over ROIs, with permutation-based -values, between the average heritability of cortical curvature in each ROI and the average heritability of connections from each ROI. A lack of strong positive correlations suggests that any heritability in cortical curvature is not driving the heritability observed in functional connection strengths. -values are given both uncorrected, and after a false discovery rate correction for multiple comparisons over the 21 tests performed in this article.
- https://doi.org/10.7554/eLife.20178.015
