Eva van Grinsven

196 Chapter 7 20. Van Grinsven EE, Nagtegaal SHJ, Verhoeff JJC, et al. The Impact of Stereotactic or Whole Brain Radiotherapy on Neurocognitive Functioning in Adult Patients with Brain Metastases: A Systematic Review and Meta-Analysis. Oncol Res Treat 2021; 44: 622–636. 21. World Medical Association. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA 2013; 310: 2191–2194. 22. van Grinsven E, Cialdella F, Verhoeff J, et al. Different profiles of neurocognitive functioning in patients with brain metastases prior to brain radiotherapy. Journal of Psycho-oncology; Under revision. 23. Jacobson NS, Roberts LJ, Berns SB, et al. Methods for defining and determining the clinical significance of treatment effects: Description, application, and alternatives. J Consult Clin Psychol 1999; 67: 300–307. 24. Jacobson NS, Truax P. Clinical Significance: A Statistical Approach to Denning Meaningful Change in Psychotherapy Research. Journal of Consulting and Clinical Psychologv 1991; 59: 12–19. 25. Jenkinson M, Beckmann CF, Behrens TE, et al. FSL. Neuroimage 2012; 62: 782–790. 26. Jenkinson M, Bannister P, Brady M, et al. Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 2002; 17: 825–841. 27. Zhang Y, Brady M, Smith S. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging 2001; 20: 45–57. 28. Schmidt P, Gaser C, Arsic M, et al. An automated tool for detection of FLAIRhyperintense white-matter lesions in Multiple Sclerosis. Neuroimage 2012; 59: 3774–3783. 29. Andersson JLR, Skare S, Ashburner J. How to correct susceptibility distortions in spin-echo echo-planar images: Application to diffusion tensor imaging. Neuroimage 2003; 20: 870–888. 30. Smith SM, Jenkinson M, Woolrich MW, et al. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 2004; 23: S208–S219. 31. Jenkinson M, Smith SM. A global optimisation method for robust affine registration of brain images. Med Image Anal 2001; 5: 143–156. 32. Chan KS, Marques JP. SEPIA—Susceptibility mapping pipeline tool for phase images. Neuroimage; 227. Epub ahead of print 2021. DOI: 10.1016/j. neuroimage.2020.117611. 33. Liu T, Khalidov I, de Rochefort L, et al. A novel background field removal method for MRI using projection onto dipole fields (PDF). NMR Biomed 2011; 24: 1129– 1136. 34. Liu J, Liu T, De Rochefort L, et al. Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map. Neuroimage 2012; 59: 2560–2568. 35. Bhogal AA. abhogal-lab/SeeVR: V2.01. 2021; (V2.01). 36. Champagne AA, Bhogal AA. Insights Into Cerebral Tissue-Specific Response to Respiratory Challenges at 7T: Evidence for Combined Blood Flow and CO2Mediated Effects. Front Physiol 2021; 12: 1–12. 37. Siero J. ClinicalASL toolbox available at https://github.com/JSIERO/ClinicalASL.

RkJQdWJsaXNoZXIy MTk4NDMw