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. 2013 May 16;8(5):e64115. doi: 10.1371/journal.pone.0064115

Table 2. ReHo values in bilateral sensorimotor cortex across participants: mean value (standard deviation) in different conditions of ‘Slow vs. Rest’.

Filtering band range(Hz) Slow vs. Rest mean (SDc)
Conta Ipsib
Slow Rest Diffd Tonic Slow Rest Diffd Tonic
0.01–0.08 0.31(0.11) 0.26(0.09) 0.05(0.07) 0.32(0.13) 0.38(0.08) 0.49(0.12) −0.11(0.09) 0.47(0.09)
0–0.08 0.40(0.10) 0.32(0.08) 0.08(0.07) 0.34(0.08) 0.32(0.11) 0.35(0.12) −0.03(0.05) 0.33(0.13)
0.08–1.67 0.23(0.05) 0.25(0.05) −0.02(0.05) 0.24(0.05) 0.26(0.06) 0.34(0.09) −0.07(0.07) 0.32(0.07)
no filter 0.20(0.04) 0.18(0.04) 0.02(0.02) 0.18(0.03) 0.18(0.05) 0.20(0.05) −0.02(0.03) 0.19(0.05)
a

Cont: Contralateral hemisphere to the tapping finger (Left hemisphere);

b

Ipsi: Ipsilateral hemisphere to the tapping finger (Right hemisphere);

c

SD: Standard deviation;

d

Diff: ReHo Difference in each ROI between ‘Slow’ and ‘Rest’ states. The difference value was first calculated within subject and then averaged across subjects.

We made cubic region of interests (ROIs) (27 voxels) in bilateral primary sensorimotor cortex (PSMC). The bilateral peak voxels in different conditions, which showed significant difference in ‘Slow vs. Rest’ (Figure 2), were picked as center for cubic ROIs. For each participant, the mean ReHo value of each mask for ‘Slow’, ‘Rest’ and ‘Tonic’ states, as well as difference ReHo value between ‘Slow’ and ‘Rest’ states (Diff) were calculated. The group mean values and standard deviations were then calculated across subjects as showed in the table.