A neuroimaging marker for predicting longitudinal changes in pain intensity of subacute back pain based on large-scale brain network interactions

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  Figure 1. Forty-three functionally interpretable ICs that were generated using group ICA. Brain images were made using FSLeyes v.0.31.234. VN visual network, DMN default mode network, FPN frontoparietal network, SN salience network, SMN sensorimotor network, AN auditory network, BG basal ganglia.

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  Figure 2. Macroscale functional connections that predict pain intensity changes. Nine selected functional connections associated with changes in pain intensity in SBP patients are reported. The spatial patterns of ICs in the circular plot are available at Fig. 1. The magnitudes of the functional connections are represented on the right and red/blue colors indicate positive/negative weights. Brain images were made using FSLeyes v.0.31.234 and the graphs were made using MATLAB R2017b (MathWorks Inc., Natick, MA, USA). VN visual network, DMN default mode network, FPN frontoparietal network, SN salience network, SMN sensorimotor network, AN auditory network, BG basal ganglia.

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  Figure 3. Prediction results of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\Delta VAS_{1n}$$\end{document}ΔVAS1n and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$VAS_{{visit_{n} }}$$\end{document}VASvisitn with the receiver operating characteristic (ROC) curve for classifying between SBPp and SBPr. (A) Prediction and classification performances between visits one and four, (B) visits one and three, and (C) visits one and two. The first column represents the prediction results of changes in pain intensity (i.e., \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\Delta VAS_{1n}$$\end{document}ΔVAS1n), while the second column indicates the results of…

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  Figure 4. Prediction results when only the mPFC–NAc connection was used for predicting changes in pain intensity. (A) Three different definitions of the mPFC and NAc regions according to the different radii. (B) Graphs showing AUC values for classifying between SBPp and SBPr groups. Brain images were made using FSLeyes v.0.31.234 and the graphs were made using MATLAB R2017b (MathWorks Inc., Natick, MA, USA). mPFC medial prefrontal cortex, NAc nucleus accumbens, L left, R right, AUC area under the curve.