Practical Magnetic Resonance Imaging Acquisition and you will Investigation Data

Practical Magnetic Resonance Imaging Acquisition and you will Investigation Data

Into the an even more good-grained study, percent laws alter was basically further reviewed about your facial term having fun with SPSS 25

The fresh fMRI research was indeed filed using an effective 3-tesla whole-human body MRI system (Philips Achieva step 3.0T Texas) and you can an excellent thirty two-route Feel lead coil. The brand new MRI examine become with a high-solution T1-weighted anatomical gradient mirror scan (three-dimensional TFE: matrix 300 ? 235 mm 2 , remodeled so you’re able to 320 ? 320 mm 2 , field-of-consider 240 ? 188.8 ? 192 mm step three , in-jet resolution 0.8 ? 0.8 mm dos , cut thickness 0.8 mm, rebuilt so you’re able to a last voxel measurements of 0.75 ? 0.75 ? 0.8 mm?). In total, 240 cuts in transverse direction was received (TR = ten ms, TE = 4.6 ms, flip perspective ? = 8°, Feel factor RRL = 2.5 and you may RFH = 2.0). Practical studies when you look at the sympathy having aches paradigm was amassed playing with T2*-adjusted echo-planar imaging (EPI) sequences. Thirty-two cuts was in fact gotten when you look at the interleaved purchase parallel for the bicommissural airplane. To track down blood-outdoors top-oriented (BOLD) contrasts, i made use of an allergic reaction encoded solitary-sample reflect-planar imaging process (SENSE-sshEPI: number of cuts thirty-two, matrix 80 ? 80 mm dos , remodeled to 112 ? 112 mm 2 , field-of-check 220 ? 220 mm dos , in-airplane quality 2.75 ? 2.75 mm dos , cut occurrence step three mm that have step one mm pit, rebuilt so you’re able to a final voxel sized step one.96 ? step one.96 ? step three mm step 3 , TR = 2,100000 ms, TE = 30 ms, flip angle ? = 90°, Experience grounds Rap = 2.0). This new EPI series started that have five goes through which were thrown away due so you’re able to saturation consequences. All of the work with contained 335 quantities and takes approximately 11 min. Overall, professionals accomplished four researching works.

To deal with the still existing multiple testing problem and in accordance with the developers of the WFU PickAtlas software, peak voxel FWE correction was applied and only activation surviving a threshold of p[FWE] < 0

The collected fMRI data were preprocessed and analyzed statistically using SPM12 (Wellcome Trust Center for Neuroimaging, Institute of Neurology, University College London, UK; and MATLAB 7.11 (The MathWorks Inc, Natick, MA). Preprocessing of the data implies slice timing correction, realignment, coregistration, and normalization with a T1 template provided by Statistical Parametric Mapping (SPM). The images were smoothed with an isotropic 8-mm full-width half-maximum Gaussian kernel, and the final voxel size of resampled images was 2 ? 2 ? 2 mm?. We applied a high-pass filter (cutoff, 100 s) to eliminate low-frequency signal drifts. Based on our previous study (30), we focused the analyses on the phase of pain/no pain perception according to the preceding emotional facial expression [e.g., (angry face+pain), (happy face+no pain), etc]. Thus, at the single subject level, regressors were combinations of pain condition, emotion, and gender. The realignment parameters were entered as regressors of no interest in the design matrix. A statistical model for each participant was calculated by convolving a hemodynamic response function with the abovementioned design (41). Subsequent statistical analysis followed the general model approach (42). As proposed by Poldrack and colleagues (43), and already used in social cognition research (44), we focused our analysis on hypothesis-driven regions of interest (ROIs) known to be involved in empathy for pain. To this end, we designed a mask containing the ROIs by using the WFU PickAtlas (45). All ROIs were chosen in accordance with a recent meta-analysis by Lamm and colleagues (26). The following ROIs were included: the anterior bilateral insula, the left medial cingulate cortex, the bilateral supramarginal gyri, the bilateral pallidum, the bilateral inferior temporal gyri, the bilateral amygdala, the left precentral gyrus, the right frontal inferior gyrus (pars opercularis), and the left thalamus. To visualize the brain areas involved in pain processing, the so-called pain matrix, we examined the T-contrast “effect of pain,” that is, [pain > no pain] collapsed over all emotions and gender using the “full factorial” option in SPM. This options shows activations with p[uncorrected] <0.001 for an extent k > 10 voxel. 05 was considered significant. All activations were labeled according to the anatomical automatic labeling (AAL) atlas (46) implemented in the WFU PickAtlas (45). Afterward, percent signal changes from the abovementioned ROIs that showed activations were extracted using the “MarsBar” toolbox ( (47). 0. By using this localizer-based approach, we aimed to avoid the problem of “double dipping” (48). In the Supplemental Material, we show additional alternative analyses for further confirmation of the findings.

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