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[Preprint]. 2024 Sep 18:2024.09.16.24313761. [Version 1] doi: 10.1101/2024.09.16.24313761

Table 2.

Subgroup Differences in Periaqueductal Gray Resting State Functional Connectivity for Most Important Features Differentiating Persistent Post-Traumatic Headache Phenotypes

PAG rsFC Network Node MNI Coordinates Low Pain Coping
(N=20)
High Pain Coping
(N=13)
p-value
x y z
rMCC67 Salience Network 2 12 34 0.052 (0.062) -0.019 (0.030) <0.001
rSMA68 Sensorimotor Network 2 3 53 0.050 (0.038) -0.020 (0.055) <0.001
lSMA68 Sensorimotor Network −2 3 53 0.046 (0.043) -0.023 (0.055) <0.001
rPCC67 Default Mode Network 8 −50 28 0.060 (0.066) -0.017 (0.036) <0.001
lM168 Sensorimotor Network −43 −18 52 0.018 (0.048) -0.016 (0.045) <0.001
rThalamus 66 Sensorimotor Network 22 −24 0 0.034 (0.057) -0.022 (0.027) <0.001
lS1 68 Sensorimotor Network −49 −19 36 0.031 (0.038) -0.037 (0.039) <0.001
lTPJ67 Salience Network −60 −38 26 0.033 (0.037) -0.034 (0.045) <0.001
lDLPFC67 Salience Network −38 40 28 0.028 (0.038) -0.021 (0.033) <0.001
lCerebellum 66 Sensorimotor Network −46 −58 -30 0.034 (0.035) -0.017 (0.032) <0.001

Values are mean (SD) Fisher zr for resting sate functional connectivity (rsFC) between the periaqueductal grey (PAG) and left (l) or right (r) middle cingulate cortex (MCC), posterior parietal cortex (PCC), supplementary motor area (SMA), primary motor cortex (M1), primary sensory cortex (S1), thalamus, temporoparietal junction (TPJ), dorsolateral prefrontal cortex (dlPFC), cerebellum, and inferior parietal cortex (IPC).