250 51. Bartels DJP, van Laarhoven AIM, Haverkamp EA, et al. Role of Conditioning and Verbal Suggestion in Placebo and Nocebo Effects on Itch. Sakakibara M, ed. PLoS ONE. 2014;9(3):e91727. doi:10.1371/journal.pone.0091727 52. Richardson JTE. Eta squared and partial eta squared as measures of effect size in educational research. Educational Research Review. 2011;6(2):135-147. doi:10.1016/j.edurev.2010.12.001 53. Cohen J. A power primer. Psychological Bulletin. 1992;112(1):155-159. doi:10.1037/0033-2909.112.1.155 54. Smith SM. Fast robust automated brain extraction. Human Brain Mapping. 2002;17(3):143-155. doi:10.1002/hbm.10062 55. Kasper L, Bollmann S, Diaconescu AO, et al. The PhysIO Toolbox for Modeling Physiological Noise in fMRI Data. Journal of Neuroscience Methods. 2017;276:5672. doi:10.1016/j.jneumeth.2016.10.019 56. Glover GH, Li TQ, Ress D. Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR. Magnetic Resonance in Medicine. 2000;44(1):162-167. doi:10.1002/1522-2594(200007)44:1<162::AID-MRM23>3.0.CO;2E 57. Desikan RS, Ségonne F, Fischl B, et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage. 2006;31(3):968-980. doi:10.1016/j.neuroimage.2006.01.021 58. McCarthy P. FSLeyes V.1.3.0. Zenodo; 2021. doi:10.5281/zenodo.3937147 59. Jenkinson M, Beckmann CF, Behrens TEJ, Woolrich MW, Smith SM. FSL. NeuroImage. 2012;62(2):782-790. doi:10.1016/J.NEUROIMAGE.2011.09.015 60. Yushkevich P, Piven J, Cody H, et al. User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. NeuroImage. 2006;31:1116-1128. doi:10.1016/j.neuroimage.2006.01.015 61. Ayachit U, Bauer A, Geveci B, et al. ParaView Catalyst: Enabling In Situ Data Analysis and Visualization. In: Proceedings of the First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization. ISAV2015. Association for Computing Machinery; 2015:25-29. doi:10.1145/2828612.2828624 62. Brett M, Anton JL, Valabregue R, Poline JB. Region of Interest Analysis Using an SPM Toolbox. Neuroimage. 2002;16. doi:10.1016/S1053-8119(02)90013-3 63. Aupperle RL, Hale LR, Chambers RJ, et al. An fMRI Study Examining Effects of Acute D-Cycloserine During Symptom Provocation in Spider Phobia. CNS Spectrums. 2009;14(10):556-571. doi:10.1017/S1092852900024044 64. Guastella AJ, Dadds MR, Lovibond PF, Mitchell P, Richardson R. A randomized controlled trial of the effect of d-cycloserine on exposure therapy for spider fear. Journal of Psychiatric Research. 2007;41(6):466-471. doi:10.1016/J.JPSYCHIRES.2006.05.006 65. Mataix-Cols D, Fernández de la Cruz L, Monzani B, et al. D-Cycloserine Augmentation of Exposure-Based Cognitive Behavior Therapy for Anxiety, ObsessiveCompulsive, and Posttraumatic Stress Disorders: A Systematic Review and Meta-analysis of Individual Participant Data. JAMA Psychiatry. 2017;74(5):501-510. doi:10.1001/jamapsychiatry.2016.3955 66. Nave AM, Tolin DF, Stevens MC. Exposure therapy, D-cycloserine, and functional magnetic resonance imaging in patients with snake phobia: a randomized pilot study. The Journal of clinical psychiatry. 2012;73(9):1179-1186. doi:10.4088/JCP.11m07564 67. Kuriyama K, Honma M, Koyama S, Kim Y. d-cycloserine facilitates procedural learning but not declarative learning in healthy humans: A randomized controlled trial of the effect of d-cycloserine and valproic acid on overnight properties in
RkJQdWJsaXNoZXIy MTk4NDMw