Fig. 4: Reproducibility of deep-learning resting-state cerebrovascular reactivity (DLRS CVR) and bolus arrival time (DLRS BAT).
From: Deep-learning-enabled brain hemodynamic mapping using resting-state fMRI
a A test-retest example from a healthy participant. The participant underwent two resting-state MRI runs in the same session. From left to right, DLRS CVR, and DLRS BAT, global-regression resting-state cerebrovascular reactivity (GRRS) CVR, and GRRS BAT, hypercapnic (HC) CVR and HC BAT. b A test-retest example from a stroke participant. The patient underwent two resting-state MRI runs in two sessions. From left to right, DLRS CVR, DLRS BAT, GRRS CVR, GRRS BAT, diffusion-weighted image (DWI) and T2-weighted image. c In healthy participants, boxplots display Pearson cross-correlation between DLRS CVR and HC CVR, together with those between GRRS CVR and HC CVR. The line, box, and whiskers in the boxplots represent the median, the interquartile range (IQR), and 1.5 times the IQR, respectively. d In healthy participants, boxplots show Pearson cross-correlation between DLRS BAT and HC BAT, together with those between GRRS BAT and HC BAT. e, f Scatter plots between two repeated scans for CVR and BAT across 133 ROIs in healthy participants. Each plot displayed data from both DLRS and GRRS methods. g, h Scatter plots between two repeated scans for CVR and BAT in stroke patients. i–l Bland-Altman plots of the CVR and BAT results in healthy participants and stroke patients.
