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      and measurement bias, we can remove more barri-  improved DTI tractography. Magn. Reson. Med.
      ers of uncertainty, which will allow us to unveil the   73(3):1075-1084; 2015.
      dynamic physiological and microstructural mecha-  9.   Basser, P. J.; Mattiello, J.; LeBihan, D. MR diffu-
      nisms of the normal and disordered brain. Pushing   sion tensor spectroscopy and imaging. Biophys. J.
                                                       66(1):259; 1994.
      the conventions of neuroimaging technology will   10.  Basser, P. J. Inferring microstructural features and the
      continue to boost the value of data it yields and help   physiological state of tissues from diffusion-weighted
      solve the mysteries of this remarkably complex organ.  images. NMR Biomed. 8(7):333-44; 1995.
                                                    11.  Bennett, I. J.; Madden, D. J.; Vaidya, C. J.; Howard, D.
      ACKNOWLEDGMENTS                                  V.; Howard, J. H. Age‐related differences in multiple
        This work was supported by the National Institutes   measures of white matter integrity: a diffusion tensor
      of Health/National Institute of Neurological Disorders   imaging study of healthy aging. Hum. Brain Mapp.
                                                       31(3):378-390; 2010.
      and Stroke grant numbers R01 NS052470 and R01   12.  Berlot, R.; Metzler-Baddeley, C.; Jones, D. K.;
      NS039538 and the National Institutes of Health/  O’Sullivan, M. J. CSF contamination contributes to
      National Institute of Mental Health grant number   apparent microstructural alterations in mild cognitive
      R21 MH105822. Recruitment database searches were   impairment. Neuroimage 92:27-35; 2014.
      supported in part by the National Institutes of Health/  13.  Bottomley, P. A.; Foster, T. H.; Argersinger, R. E.;
      National Center for Research Resources grant number   Pfeifer, L. M. A review of normal tissue hydrogen
      UL1 TR000448. The authors declare no conflicts of   NMR relaxation times and relaxation mechanisms
      interest.                                        from 1–100 MHz: dependence on tissue type, NMR
                                                       frequency, temperature, species, excision, and age. J.
                                                       Med. Phys. 11(4):425-448; 1984.
      REFERENCES                                    14.  Brown, M. A.; Semelka, R. C. MRI: basic principles and
      1.   Ajilore, O.; Zhan, L.; GadElkarim, J.; Zhang, A.;   applications. Hoboken, NJ: John Wiley & Sons; 2011.
          Feusner, J. D.; Yang, S.; Thompson, P. M.; Kumar, A.;   15.  Burzynska, A. Z.; Preuschhof, C.; Bäckman, L.; Nyberg,
          Leow, A. Constructing the resting state structural   L.; Li, S. C.; Lindenberger, U.; Heekeren, H. R. Age-
          connectome. Front. Neuroinform. 7:1-8; 2013.  related differences in white matter microstructure:
      2.   Alexander, A. L.; Hasan, K. M.; Lazar, M.; Tsuruda, J.   region-specific patterns of diffusivity. Neuroimage
          S.; Parker, D. L. Analysis of partial volume effects in   49(3):2104-2112; 2010.
          diffusion‐tensor MRI. Magn. Reson. Med. 45(5):770-  16.  Chang, L.; Wong, V.; Nakama, H.; Watters, M.;
          80; 2001.                                    Ramones, D.; Miller, E. N.; Cloak, C.; Ernst, T. Greater
      3.   Alexander, A. L.; Lee, J. E.; Lazar, M.; Field, A. S.   than age-related changes in brain diffusion of HIV
          Diffusion tensor imaging of the brain. Neurothera-  patients after 1 year. J. Neuroimmune Pharmacol.
          peutics 4(3):316-329; 2007.                  3(4):265-274; 2008.
      4.   Amiry-Moghaddam, M.; Ottersen, O. P. The molec-  17.  Chou, M. C.; Lin, Y. R.; Huang, T. Y.; Wang, C. Y.;
          ular basis of water transport in the brain. Nat. Rev.   Chung, H. W.; Juan, C. J.; Chen, C. Y. FLAIR diffu-
          Neurosci. 4(12):991-1001; 2003.              sion-tensor MR tractography: comparison of fiber
      5.   Assaf, Y.; Mayzel-Oreg, O.; Gigi, A.; Ben-Bashat, D.;   tracking with conventional imaging. AJNR 26(3):591-
          Mordohovitch, M.; Verchovsky, R.; Reider-Groswasser,   597; 2005.
          I. I.; Hendler, T.; Graif, M.; Cohen, Y.; Korczyn, A.   18.  Conturo, T. E.; McKinstry, R. C.; Aronovitz, J. A.;
          D. High b value q-space-analyzed diffusion MRI in   Neil, J. J. Diffusion MRI: precision, accuracy and flow
          vascular dementia: a preliminary study. J. Neurol. Sci.   effects. NMR Biomed. 8(7):307-32; 1995.
          203:235-239; 2002.                        19.  Conturo, T. E.; McKinstry, R. C.; Akbudak, E.;
      6.   Ballester, M. A.; Zisserman, A.; Brady, M. Segmentation   Robinson, B. H. Encoding of anisotropic diffusion
          and measurement of brain structures in MRI including   with tetrahedral gradients: a general mathematical
          confidence bounds. Med. Image Anal. 4(3):189-200;   diffusion formalism and experimental results. Magn.
          2000.                                        Reson. Med. 35(3):399-412; 1996.
      7.   Ballester, M. A.; Zisserman, A. P.; Brady, M. Estimation   20.  Da Mota, B.; Tudoran, R.; Costan, A.; Varoquaux,
          of the partial volume effect in MRI. Med. Image Anal.   G.; Brasche, G.; Conrod, P.; Lemaitre, H.; Paus, T.;
          6(4):389-405; 2002.                          Rietschel, M.; Frouin, V.; Poline, J. B. Machine learning
      8.   Baron, C. A.; Beaulieu, C. Acquisition strategy to re-  patterns for neuroimaging-genetic studies in the cloud.
          duce cerebrospinal fluid partial volume effects for   Front. Neuroinform. 8:31; 2014.
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