Figures
Fig 5 contains an error due to a misalignment of DTI and MRI data. Figs 6, 8 and 9 contain errors due to the unwarranted exclusion of cross-eigenmode covariance from the calculation of the fMRI functional connectivity. Please view the corrected figures here.
The theoretical (dashed black line) and numerical (red line) predictions from the stochastic Wilson-Cowan graph neural field model, with the parameters of S2 Table, are in excellent agreement with the empirically observed fMRI harmonic spectrum (cyan line). The numerical spectrum was obtained by taking the median of three independent simulations.
Connectome-wide, vertex-wise, single-subject, resting-state fMRI functional connectivity matrix. Zoom in to appreciate the patterns present in the data, in particular the two large blocks (top-left and bottom-right) corresponding to the two hemispheres, and the many intra-hemispheric patterns. Compare with the functional connectivity predicted by the stochastic Wilson-Cowan graph neural field (Fig 7). The light-blue and light-green rectangles indicate the insets visualized in Figs 8 and 9.
(A) An inset of the vertex-wise, resting-state fMRI functional connectivity matrix for a single subject. (B) The same inset for the Wilson-Cowan graph neural field model with the parameters of S2 Table.
(A) An inset of the vertex-wise, resting-state fMRI functional connectivity matrix for a single subject. (B) The same inset for the Wilson-Cowan graph neural field model with the parameters of S2 Table.
There is a typographical error in S1 Table. The value 7.903 ∙ 102 should read 7.903 ∙ 101. Please view the corrected table here.
Supporting information
S1 Table. Parameter set for 1D analysis and simulations.
This parameter set was obtained by a qualitative comparison of the Wilson-Cowan model’s harmonic and temporal spectra with empirical data, and used to illustrate how graph properties affect neural field dynamics in one dimension.
https://doi.org/10.1371/journal.pcbi.1010224.s001
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Reference
Citation: Aqil M, Atasoy S, Kringelbach ML, Hindriks R (2022) Correction: Graph neural fields: A framework for spatiotemporal dynamical models on the human connectome. PLoS Comput Biol 18(6): e1010224. https://doi.org/10.1371/journal.pcbi.1010224
Published: June 1, 2022
Copyright: © 2022 Aqil et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.