Skip to main content

Advertisement

Log in

Diffusion MRI and its Role in Neuropsychology

  • Review
  • Published:
Neuropsychology Review Aims and scope Submit manuscript

Abstract

Diffusion Magnetic Resonance Imaging (dMRI) is a popular method used by neuroscientists to uncover unique information about the structural connections within the brain. dMRI is a non-invasive imaging methodology in which image contrast is based on the diffusion of water molecules in tissue. While applicable to many tissues in the body, this review focuses exclusively on the use of dMRI to examine white matter in the brain. In this review, we begin with a definition of diffusion and how diffusion is measured with MRI. Next we introduce the diffusion tensor model, the predominant model used in dMRI. We then describe acquisition issues related to acquisition parameters and scanner hardware and software. Sources of artifacts are then discussed, followed by a brief review of analysis approaches. We provide an overview of the limitations of the traditional diffusion tensor model, and highlight several more sophisticated non-tensor models that better describe the complex architecture of the brain’s white matter. We then touch on reliability and validity issues of diffusion measurements. Finally, we describe examples of ways in which dMRI has been applied to studies of brain disorders and how identified alterations relate to symptomatology and cognition.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Aboitiz, F., Scheibel, A. B., Fisher, R. S., & Zaidel, E. (1992). Fiber composition of the human corpus callosum. Brain Research, 598(1-2), 143–153.

    Article  CAS  PubMed  Google Scholar 

  • Alexander, D. C. (2008). A general framework for experiment design in diffusion MRI and its application in measuring direct tissue-microstructure features. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine, 60(2), 439–448.

    Article  Google Scholar 

  • Alexander, A. L., Lee, J. E., Lazar, M., & Field, A. S. (2007). Diffusion tensor imaging of the brain. Neurotherapeutics: the journal of the American Society for Experimental NeuroTherapeutics, 4(3), 316–329.

    Article  Google Scholar 

  • Ashburner, J., & Friston, K. J. (2000). Voxel-based morphometry--the methods. NeuroImage, 11(6 Pt 1), 805–821.

  • Assaf, Y., & Basser, P. J. (2005). Composite hindered and restricted model of diffusion (CHARMED) MR Imaging of the human brain. NeuroImage, 27(1), 48–58.

    Article  PubMed  Google Scholar 

  • Assaf, Y., Freidlin, R. Z., Rohde, G. K., & Basser, P. J. (2004). New modeling and experimental framework to characterize hindered and restricted water diffusion in brain white matter. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine, 52(5), 965–978.

    Article  Google Scholar 

  • Auriat, A. M., Borich, M. R., Snow, N. J., Wadden, K. P., & Boyd, L. A. (2015). Comparing a diffusion tensor and non-tensor approach to white matter fiber tractography in chronic stroke. NeuroImage. Clinical, 7, 771–781.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Avants, B. B., Epstein, C. L., Grossman, M., & Gee, J. C. (2008). Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain. Medical Image Analysis, 12(1), 26–41.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Balevich, E. C., Haznedar, M. M., Wang, E., Newmark, R. E., Bloom, R., Schneiderman, J. S., et al. (2015). Corpus callosum size and diffusion tensor anisotropy in adolescents and adults with chizophrenia. Psychiatry Research, 231(3), 244–251.

    Article  PubMed  Google Scholar 

  • Bambico, F. R., & Belzung, C. (2013). Novel insights into depression and antidepressants: a synergy between synaptogenesis and neurogenesis? Current Topics in Behavioral Neurosciences, 15, 243–291.

    Article  CAS  PubMed  Google Scholar 

  • Basser, P. J., & Jones, D. K. (2002). Diffusion-tensor MRI: theory, experimental design and data analysis - a technical review. NMR in Biomedicine, 15(7-8), 456–467.

    Article  PubMed  Google Scholar 

  • Basser, P. J., & Pajevic, S. (2002). A normal distribution for tensor-valued random variables to analyze diffusion tensor MRI data. In Proceedings IEEE International Symposium on Biomedical Imaging (pp. 927–930). IEEE.

  • Basser, P. J., Mattiello, J., & LeBihan, D. (1994). MR diffusion tensor spectroscopy and imaging. Biophysical Journal, 66(1), 259–267.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Beaulieu, C. (2002). The basis of anisotropic water diffusion in the nervous system – a technical review. NMR in Biomedicine, 15(7-8), 435–455.

    Article  PubMed  Google Scholar 

  • Beaulieu, C. F., Zhou, X., Cofer, G. P., & Johnson, G. A. (1993). Diffusion-weighted MR microscopy with fast spin-echo. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine, 30(2), 201–206.

    Article  CAS  Google Scholar 

  • Behrens, T. E. J., Woolrich, M. W., Jenkinson, M., Johansen-Berg, H., Nunes, R. G., Clare, S., et al. (2003). Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine, 50(5), 1077–1088.

    Article  CAS  Google Scholar 

  • Behrens, T. E. J., Berg, H. J., Jbabdi, S., Rushworth, M. F. S., & Woolrich, M. W. (2007). Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? NeuroImage, 34(1), 144–155.

    Article  CAS  PubMed  Google Scholar 

  • Belli, G., Busoni, S., Ciccarone, A., Coniglio, A., Esposito, M., Giannelli, M., et al. (2015). Quality assurance multicenter comparison of different MR scanners for quantitative diffusion-weighted imaging. Journal of magnetic resonance imaging: JMRI. doi:10.1002/jmri.24956.

    PubMed  Google Scholar 

  • Bijanki, K. R., Hodis, B., Magnotta, V. A., Zeien, E., & Andreasen, N. C. (2015). Effects of age on white matter integrity and negative symptoms in schizophrenia. Schizophrenia Research, 161(1), 29–35.

    Article  PubMed Central  PubMed  Google Scholar 

  • Brandstack, N., Kurki, T., Laalo, J., Kauko, T., & Tenovuo, O. (2014). Reproducibility of Tract-based and Region-of-Interest DTI Analysis of Long Association Tracts. Clinical Neuroradiology. doi:10.1007/s00062-014-0349-8.

    PubMed  Google Scholar 

  • Buchanan, C. R., Pernet, C. R., Gorgolewski, K. J., Storkey, A. J., & Bastin, M. E. (2014). Test-retest reliability of structural brain networks from diffusion MRI. NeuroImage, 86, 231–243.

    Article  PubMed  Google Scholar 

  • Budde, M. D., Xie, M., Cross, A. H., & Song, S.-K. (2009). Axial diffusivity Is the primary correlate of axonal injury in the experimental autoimmune encephalomyelitis spinal cord: A quantitative pixelwise analysis. Journal of Neuroscience. doi:10.1523/JNEUROSCI.4605-08.2009

  • Bullmore, E., & Sporns, O. (2009). Complex brain networks: Graph theoretical analysis of structural and functional systems. Nature reviews. Neuroscience, 10(3), 186–198.

  • Caiazzo, G., Corbo, D., Trojsi, F., Piccirillo, G., Cirillo, M., Monsurrò, M. R., et al. (2014). Distributed corpus callosum involvement in amyotrophic lateral sclerosis: a deterministic tractography study using q-ball imaging. Journal of Neurology, 261(1), 27–36.

    Article  CAS  PubMed  Google Scholar 

  • Cao, Q., Shu, N., An, L., Wang, P., Sun, L., Xia, M.-R., et al. (2013). Probabilistic diffusion tractography and graph theory analysis reveal abnormal white matter structural connectivity networks in drug-naive boys with attention deficit/hyperactivity disorder. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 33(26), 10676–10687.

    Article  CAS  Google Scholar 

  • Carlson, H. L., Laliberté, C., Brooks, B. L., Hodge, J., Kirton, A., Bello-Espinosa, L., et al. (2014). Reliability and variability of diffusion tensor imaging (DTI) tractography in pediatric epilepsy. Epilepsy & behavior: E&B, 37, 116–122.

    Article  Google Scholar 

  • Chang, L.-C., Jones, D. K., & Pierpaoli, C. (2005). RESTORE: Robust estimation of tensors by outlier rejection. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine, 53(5), 1088–1095.

    Article  Google Scholar 

  • Chaudhary, U. J., & Duncan, J. S. (2014). Applications of blood-oxygen-level-dependent functional magnetic resonance imaging and diffusion tensor imaging in epilepsy. Neuroimaging Clinics of North America, 24(4), 671–694.

    Article  PubMed  Google Scholar 

  • Chavez, S., Storey, P., & Graham, S. J. (2009). Robust correction of spike noise: application to diffusion tensor imaging. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine, 62(2), 510–519.

    Article  CAS  Google Scholar 

  • Chondrogiorgi, M., Tzarouchi, L. C., Zikou, A. K., Astrakas, L. G., Kosta, P., Argyropoulou, M. I., & Konitsiotis, S. (2015). Multimodal imaging evaluation of excessive daytime sleepiness in Parkinson’s disease. The International Journal of Neuroscience, 1–17.

  • Chung, A., Lyoo, I. K., Kim, S. J., Hwang, J., Bae, S. C., Sung, Y. H., et al. (2007). Decreased frontal white-matter integrity in abstinent methamphetamine abusers. The international journal of neuropsychopharmacology / official scientific journal of the Collegium Internationale Neuropsychopharmacologicum, 10(6), 765–775.

  • D’Arceuil, H., & de Crespigny, A. (2007). The effects of brain tissue decomposition on diffusion tensor imaging and tractography. NeuroImage, 36(1), 64–68.

    Article  PubMed Central  PubMed  Google Scholar 

  • Daianu, M., Jahanshad, N., Nir, T. M., Toga, A. W., Jack Jr., C. R., Weiner, M. W., et al. (2013). Breakdown of brain connectivity between normal aging and Alzheimer’s disease: a structural k-core network analysis. Brain Connectivity, 3(4), 407–422.

    Article  PubMed Central  PubMed  Google Scholar 

  • De Groot, M., Vernooij, M. W., Klein, S., Ikram, M. A., Vos, F. M., Smith, S. M., et al. (2013). Improving alignment in tract-based spatial statistics: evaluation and optimization of image registration. NeuroImage, 76, 400–411.

    Article  PubMed  Google Scholar 

  • Dehmeshki, J., Ruto, A. C., Arridge, S., Silver, N. C., Miller, D. H., & Tofts, P. S. (2001). Analysis of MTR histograms in multiple sclerosis using principal components and multiple discriminant analysis. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine, 46(3), 600–609.

    Article  CAS  Google Scholar 

  • Dubois, J., Kulikova, S., Hertz-Pannier, L., Mangin, J.-F., Dehaene-Lambertz, G., & Poupon, C. (2014). Correction strategy for diffusion-weighted images corrupted with motion: application to the DTI evaluation of infants' white matter. Magnetic Resonance Imaging, 32(8), 981–992.

    Article  PubMed  Google Scholar 

  • Dyrba, M., Grothe, M., Kirste, T., & Teipel, S. J. (2015). Multimodal analysis of functional and structural disconnection in Alzheimer’s disease using multiple kernel SVM. Human Brain Mapping, 36(6), 2118–2131.

    Article  PubMed  Google Scholar 

  • Einstein, A. (1926). Investigations on the theory of the Brownian movement. (R. Furth, Ed.). Dover Publications, Inc.

  • Ellis, C. M., Simmons, A., Jones, D. K., Bland, J., Dawson, J. M., Horsfield, M. A., et al. (1999). Diffusion tensor MRI assesses corticospinal tract damage in ALS. Neurology, 53(5), 1051–1058.

    Article  CAS  PubMed  Google Scholar 

  • Ellison-Wright, I., Nathan, P. J., Bullmore, E. T., Zaman, R., Dudas, R. B., Agius, M., et al. (2014). Distribution of tract deficits in chizophrenia. BMC Psychiatry, 14, 99.

    Article  PubMed Central  PubMed  Google Scholar 

  • Fang-Cheng, Y., Verstynen, T. D., Yibao, W., Fernández-Miranda, J. C., & Tseng, W.-Y. I. (2014). Deterministic diffusion fiber tracking improved by quantitative anisotropy. PloS One, 9(1). doi:10.1371/annotation/0f3b12de-8b8b-4dda-9ff4-835b8631e1dc.

  • Feinberg, D. A., Moeller, S., Smith, S. M., Auerbach, E., Ramanna, S., Gunther, M., et al. (2010). Multiplexed echo planar imaging for sub-second whole brain FMRI and fast diffusion imaging. PloS One, 5(12), e15710.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Foerster, B. R., Carlos, R. C., Dwamena, B. A., Callaghan, B. C., Petrou, M., Edden, R. A. E., et al. (2014). Multimodal MRI as a diagnostic biomarker for amyotrophic lateral sclerosis. Annals of Clinical and Translational Neurology, 1(2), 107–114.

    Article  PubMed Central  PubMed  Google Scholar 

  • Foong, J., Symms, M. R., Barker, G. J., Maier, M., Miller, D. H., & Ron, M. A. (2002). Investigating regional white matter in schizophrenia using diffusion tensor imaging. Neuroreport, 13(3), 333–336.

    Article  CAS  PubMed  Google Scholar 

  • Friedman, L., & Glover, G. H. (2006). Report on a multicenter fMRI quality assurance protocol. Journal of magnetic resonance imaging: JMRI, 23(6), 827–839.

    Article  PubMed  Google Scholar 

  • Fujiwara, H., Namiki, C., Hirao, K., Miyata, J., Shimizu, M., Fukuyama, H., et al. (2007). Anterior and posterior cingulum abnormalities and their association with psychopathology in schizophrenia: a diffusion tensor imaging study. Schizophrenia Research, 95(1-3), 215–222.

    Article  PubMed  Google Scholar 

  • Gallichan, D., Scholz, J., Bartsch, A., Behrens, T. E., Robson, M. D., & Miller, K. L. (2010). Addressing a systematic vibration artifact in diffusion-weighted MRI. Human Brain Mapping, 31(2), 193–202.

    PubMed  Google Scholar 

  • Gibbard, C. R., Ren, J., Seunarine, K. K., Clayden, J. D., Skuse, D. H., & Clark, C. A. (2013). White matter microstructure correlates with autism trait severity in a combined clinical–control sample of high-functioning adults. NeuroImage: Clinical, 3(0), 106–114.

  • Glover, G. H., Mueller, B. a, Turner, J. a, van Erp, T. G. M., Liu, T. T., Greve, D. N., et al. (2012). Function biomedical informatics research network recommendations for prospective multicenter functional MRI studies. Journal of magnetic resonance imaging: JMRI, 36(1), 39–54.

  • Goghari, V. M., Billiet, T., Sunaert, S., & Emsell, L. (2014). a diffusion tensor imaging family study of the fornix in schizophrenia. Schizophrenia Research, 159(2-3), 435–440.

    Article  PubMed  Google Scholar 

  • Gudbjartsson, H., Maier, S. E., Mulkern, R. V., Mórocz, I. A., Patz, S., & Jolesz, F. A. (1996). Line scan diffusion imaging. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine, 36(4), 509–519.

    Article  CAS  Google Scholar 

  • Hayes, J. P., Miller, D. R., Lafleche, G., Salat, D. H., & Verfaellie, M. (2015). The nature of white matter abnormalities in blast-related mild traumatic brain injury. NeuroImage. Clinical, 8, 148–156.

    Article  PubMed Central  PubMed  Google Scholar 

  • Hess, C. P., Mukherjee, P., Han, E. T., Xu, D., & Vigneron, D. B. (2006). Q-ball reconstruction of multimodal fiber orientations using the spherical harmonic basis. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine, 56(1), 104–117.

    Article  Google Scholar 

  • Hoptman, M. J., Volavka, J., Johnson, G., Weiss, E., Bilder, R. M., & Lim, K. O. (2002). Frontal white matter microstructure, aggression, and impulsivity in men with schizophrenia: a preliminary study. Biological Psychiatry, 52(1), 9–14.

    Article  PubMed  Google Scholar 

  • Hoptman, M. J., Ardekani, B. A., Butler, P. D., Nierenberg, J., Javitt, D. C., & Lim, K. O. (2004). DTI and impulsivity in schizophrenia: a first voxelwise correlational analysis. Neuroreport, 15(16), 2467–2470.

    Article  PubMed Central  PubMed  Google Scholar 

  • Hua, K., Zhang, J., Wakana, S., Jiang, H., Li, X., Reich, D. S., et al. (2008). Tract probability maps in stereotaxic spaces: analyses of white matter anatomy and tract-specific quantification. NeuroImage, 39(1), 336–347.

    Article  PubMed Central  PubMed  Google Scholar 

  • Ikuta, T., Peters, B. D., Guha, S., John, M., Karlsgodt, K. H., Lencz, T., et al. (2014). A schizophrenia risk gene, ZNF804A, is associated with brain white matter microstructure. Schizophrenia Research, 155(1-3), 15–20.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Iwata, N. K., Aoki, S., Okabe, S., Arai, N., Terao, Y., Kwak, S., et al. (2008). Evaluation of corticospinal tracts in ALS with diffusion tensor MRI and brainstem stimulation. Neurology, 70(7), 528–532.

    Article  CAS  PubMed  Google Scholar 

  • Jelescu, I. O., Veraart, J., Adisetiyo, V., Milla, S. S., Novikov, D. S., & Fieremans, E. (2015). One diffusion acquisition and different white matter models: How does microstructure change in human early development based on WMTI and NODDI? NeuroImage, 107, 242–256.

    Article  PubMed  Google Scholar 

  • Jellison, B. J., Field, A. S., Medow, J., Lazar, M., Salamat, M. S., & Alexander, A. L. (2004). Diffusion tensor imaging of cerebral white matter: a pictorial review of physics, fiber tract anatomy, and tumor imaging patterns. AJNR. American Journal of Neuroradiology, 25(3), 356–369.

    PubMed  Google Scholar 

  • Jensen, J. H., & Helpern, J. A. (2010). MRI quantification of non-Gaussian water diffusion by kurtosis analysis. NMR in Biomedicine, 23(7), 698–710.

    Article  PubMed Central  PubMed  Google Scholar 

  • Jensen, J. H., Helpern, J. A., Ramani, A., Lu, H., & Kaczynski, K. (2005). Diffusional kurtosis imaging: The quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine, 53(6), 1432–1440.

    Article  Google Scholar 

  • Jeurissen, B., Leemans, A., Tournier, J.-D., Jones, D. K., & Sijbers, J. (2013). Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging. Human Brain Mapping, 34(11), 2747–2766.

    Article  PubMed  Google Scholar 

  • Jiang, H., van Zijl, P. C. M., Kim, J., Pearlson, G. D., & Mori, S. (2006). DtiStudio: resource program for diffusion tensor computation and fiber bundle tracking. Computer Methods and Programs in Biomedicine, 81(2), 106–116.

    Article  PubMed  Google Scholar 

  • Jones, D. K., & Cercignani, M. (2010). Twenty-five pitfalls in the analysis of diffusion MRI data. NMR in Biomedicine, 23(7), 803–820.

    Article  PubMed  Google Scholar 

  • Jovicich, J., Marizzoni, M., Bosch, B., Bartrés-Faz, D., Arnold, J., Benninghoff, J., et al. (2014). Multisite longitudinal reliability of tract-based spatial statistics in diffusion tensor imaging of healthy elderly subjects. NeuroImage, 101, 390–403.

    Article  PubMed  Google Scholar 

  • Kang, Z., Wei, Q.-L., Tang, Y.-X., Li, L.-J., Zheng, L.-R., Guo, X.-F., et al. (2012). Diffusion tensor imaging analyses of white matter in healthy siblings of schizophrenics. Zhonghua Yi Xue Za Zhi, 92(39), 2772–2774.

    PubMed  Google Scholar 

  • Kate, M. P., Riaz, P., Gioia, L., Sivakumar, L., Jeerakathil, T., Buck, B., et al. (2015). Dynamic Evolution of Diffusion-Weighted Imaging Lesions in Patients With Minor Ischemic Stroke. Stroke; a journal of cerebral circulation. doi:10.1161/STROKEAHA.115.009775.

    Google Scholar 

  • Keihaninejad, S., Ryan, N. S., Malone, I. B., Modat, M., Cash, D., Ridgway, G. R., et al. (2012). The importance of group-wise registration in tract based spatial statistics study of neurodegeneration: a simulation study in Alzheimer’s disease. PloS One, 7(11), e45996.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Kim, S. N., Park, J. S., Jang, J. H., Jung, W. H., Shim, G., Park, H. Y., et al. (2012). Increased white matter integrity in the corpus callosum in subjects with high genetic loading for schizophrenia. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 37(1), 50–55.

    Article  Google Scholar 

  • Koch, K., Wagner, G., Schachtzabel, C., Schultz, C. C., Straube, T., Güllmar, D., et al. (2012). White matter structure and symptom dimensions in obsessive-compulsive disorder. Journal of Psychiatric Research, 46(2), 264–270.

    Article  PubMed  Google Scholar 

  • Korgaonkar, M. S., Fornito, A., Williams, L. M., & Grieve, S. M. (2014). Abnormal structural networks characterize major depressive disorder: a connectome analysis. Biological Psychiatry, 76(7), 567–574.

    Article  PubMed  Google Scholar 

  • Kubicki, M., Westin, C.-F., Nestor, P. G., Wible, C. G., Frumin, M., Maier, S. E., et al. (2003). Cingulate fasciculus integrity disruption in schizophrenia: a magnetic resonance diffusion tensor imaging study. Biological Psychiatry, 54(11), 1171–1180.

    Article  PubMed Central  PubMed  Google Scholar 

  • Lazaridou, A., Astrakas, L., Mintzopoulos, D., Khanicheh, A., Singhal, A. B., Moskowitz, M. A., et al. (2013). Diffusion tensor and volumetric magnetic resonance imaging using an MR-compatible hand-induced robotic device suggests training-induced neuroplasticity in patients with chronic stroke. International Journal of Molecular Medicine, 32(5), 995–1000.

    PubMed Central  PubMed  Google Scholar 

  • Le Bihan, D. (2003). Looking into the functional architecture of the brain with diffusion MRI. Nature reviews. Neuroscience, 4(6), 469–480.

  • Le Bihan, D., Mangin, J. F., Poupon, C., Clark, C. A., Pappata, S., Molko, N., & Chabriat, H. (2001). Diffusion tensor imaging: concepts and applications. Journal of magnetic resonance imaging: JMRI, 13(4), 534–546.

    Article  PubMed  Google Scholar 

  • LeBihan, D. (1990). IVIM method measures diffusion and perfusion. Diagnostic imaging, 12(6), 133, 136.

  • Lee, A. T., Glover, G. H., & Meyer, C. H. (1995). Discrimination of large venous vessels in time-course spiral blood-oxygen-level-dependent magnetic-resonance functional neuroimaging. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine, 33(6), 745–754.

    Article  CAS  Google Scholar 

  • Lee, S.-H., Coutu, J.-P., Wilkens, P., Yendiki, A., Rosas, H. D., Salat, D. H., & Alzheimer’s disease Neuroimaging Initiative (ADNI). (2015). Tract-based analysis of white matter degeneration in Alzheimer’s isease. Neuroscience, 301(0), 79–89.

  • Lener, M. S., Wong, E., Tang, C. Y., Byne, W., Goldstein, K. E., Blair, N. J., et al. (2015). White matter abnormalities in schizophrenia and schizotypal personality disorder. Schizophrenia Bulletin, 41(1), 300–310.

    Article  PubMed  Google Scholar 

  • Libero, L. E., DeRamus, T. P., Lahti, A. C., Deshpande, G., & Kana, R. K. (2015). Multimodal neuroimaging based classification of autism spectrum disorder using anatomical, eurochemical, and white matter orrelates. Cortex; a journal devoted to the study of the nervous system and behavior, 66, 46–59.

    Article  PubMed  Google Scholar 

  • Lim, K. O., Hedehus, M., Moseley, M., de Crespigny, A., Sullivan, E. V., & Pfefferbaum, A. (1999). Compromised white matter tract integrity in schizophrenia inferred from diffusion tensor maging. Archives of General Psychiatry, 56(4), 367–374.

    Article  CAS  PubMed  Google Scholar 

  • Lim, K. O., Choi, S. J., Pomara, N., Wolkin, A., & Rotrosen, J. P. (2002). Reduced frontal white matter integrity in cocaine dependence: a controlled diffusion tensor imaging study. Biological Psychiatry, 51(11), 890–895.

    Article  CAS  PubMed  Google Scholar 

  • Liu, Z., Wang, Y., Gerig, G., Gouttard, S., Tao, R., Fletcher, T., & Styner, M. (2010). Quality control of diffusion weighted images. Proceedings of SPIE The international society for optical engineering, 7628. doi:10.1117/12.844748

  • Liu, C., Jiang, R., Yi, X., Zhu, W., & Bu, B. (2015). Role of diffusion tensor imaging or magnetic resonance spectroscopy in the diagnosis and disability assessment of amyotrophic lateral sclerosis. Journal of the Neurological Sciences, 348(1-2), 206–210.

    Article  PubMed  Google Scholar 

  • Madhyastha, T., Mérillat, S., Hirsiger, S., Bezzola, L., Liem, F., Grabowski, T., & Jäncke, L. (2014). Longitudinal reliability of tract-based spatial statistics in diffusion tensor imaging. Human Brain Mapping, 35(9), 4544–4555.

    Article  PubMed  Google Scholar 

  • Magnotta, V. A., Matsui, J. T., Liu, D., Johnson, H. J., Long, J. D., Bolster Jr., B. D., et al. (2012). Multicenter reliability of diffusion tensor imaging. Brain Connectivity, 2(6), 345–355.

    Article  PubMed Central  PubMed  Google Scholar 

  • Mallik, S., Samson, R. S., Wheeler-Kingshott, C. A. M., & Miller, D. H. (2014). Imaging outcomes for trials of remyelination in multiple sclerosis. Journal of Neurology, Neurosurgery, and Psychiatry, 85(12), 1396–1404.

    Article  PubMed Central  PubMed  Google Scholar 

  • Marcus, D. S., Harms, M. P., Snyder, A. Z., Jenkinson, M., Wilson, J. A., Glasser, M. F., et al. (2013). Human connectome project informatics: quality control, database services, and data visualization. NeuroImage, 80, 202–219.

    Article  PubMed  Google Scholar 

  • Michael, A. M., Calhoun, V. D., Pearlson, G. D., Baum, S. A., & Caprihan, A. (2008). Correlations of diffusion tensor imaging values and symptom scores in patients with schizophrenia. Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2008, 5494–5497.

  • Miller, K. L., Stagg, C. J., Douaud, G., Jbabdi, S., Smith, S. M., Behrens, T. E. J., et al. (2011). Diffusion imaging of whole, post-mortem human brains on a clinical mri scanner. NeuroImage, 57(1), 167–181.

    Article  PubMed Central  PubMed  Google Scholar 

  • Moeller, S., Yacoub, E., Olman, C. A., Auerbach, E., Strupp, J., Harel, N., & Uğurbil, K. (2010). Multiband multislice GE-EPI at 7 tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-rain fMRI. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine, 63(5), 1144–1153.

    Article  Google Scholar 

  • Mohammadi, S., Nagy, Z., Hutton, C., Josephs, O., & Weiskopf, N. (2012). Correction of vibration artifacts in DTI using phase-encoding eversal (COVIPER). Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine, 68(3), 882–889.

    Article  Google Scholar 

  • Morey, R. A., Haswell, C. C., Selgrade, E. S., Massoglia, D., Liu, C., Weiner, J., et al. (2013). Effects of chronic mild traumatic brain injury on white matter integrity in Iraq and Afghanistan war veterans. Human Brain Mapping, 34(11), 2986–2999.

    Article  PubMed  Google Scholar 

  • Mori, S., Crain, B. J., Chacko, V. P., & van Zijl, P. C. (1999). Three-dimensional tracking of axonal projections in the brain by magnetic resonance maging. Annals of Neurology, 45(2), 265–269.

    Article  CAS  PubMed  Google Scholar 

  • Moseley, M. E., Cohen, Y., Kucharczyk, J., Mintorovitch, J., Asgari, H. S., Wendland, M. F., et al. (1990). Diffusion-weighted MR imaging of anisotropic water diffusion in cat central nervous system. Radiology, 176(2), 439–445.

    Article  CAS  PubMed  Google Scholar 

  • Newcombe, V. F. J., Correia, M. M., Ledig, C., Abate, M. G., Outtrim, J. G., Chatfield, D., et al. (2015). Dynamic changes in white matter abnormalities correlate with late improvement and deterioration following TBI: A Diffusion Tensor Imaging Study. Neurorehabilitation and neural repair. doi:10.1177/1545968315584004

  • Niendorf, T., Norris, D. G., & Leibfritz, D. (1994). Detection of apparent restricted diffusion in healthy rat brain at short diffusion times. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine, 32(5), 672–677.

    Article  CAS  Google Scholar 

  • Niendorf, T., Dijkhuizen, R. M., Norris, D. G., van Lookeren Campagne, M., & Nicolay, K. (1996). Biexponential diffusion attenuation in various states of brain tissue: implications for diffusion-weighted imaging. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine, 36(6), 847–857.

    Article  CAS  Google Scholar 

  • Nir, T. M., Jahanshad, N., Villalon-Reina, J. E., Toga, A. W., Jack, C. R., Weiner, M. W., et al. (2013). Effectiveness of regional DTI measures in distinguishing Alzheimer’s disease, MCI, and normal aging. NeuroImage. Clinical, 3, 180–195.

    Article  PubMed Central  PubMed  Google Scholar 

  • Nolte, U. G., Finsterbusch, J., & Frahm, J. (2000). Rapid isotropic diffusion mapping without susceptibility artifacts: Whole brain studies using diffusion-weighted single-shot STEAM MR imaging. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine, 44(5), 731–736.

    Article  CAS  Google Scholar 

  • O’Donnell, L. J., & Westin, C.-F. (2011). An introduction to diffusion tensor image analysis. Neurosurgery Clinics of North America, 22(2), 185–196 viii.

    Article  PubMed Central  PubMed  Google Scholar 

  • Ottet, M.-C., Schaer, M., Cammoun, L., Schneider, M., Debbané, M., Thiran, J.-P., & Eliez, S. (2013a). Reduced fronto-temporal and limbic connectivity in the 22q11.2 deletion syndrome: vulnerability markers for developing schizophrenia? PloS one, 8(3), e58429.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Ottet, M.-C., Schaer, M., Debbané, M., Cammoun, L., Thiran, J.-P., & Eliez, S. (2013b). Graph theory reveals dysconnected hubs in 22q11DS and altered nodal efficiency in patients with hallucinations. Frontiers in Human Neuroscience, 7, 402.

    Article  PubMed Central  PubMed  Google Scholar 

  • Ozarslan, E., & Mareci, T. H. (2003). Generalized diffusion tensor imaging and analytical relationships between diffusion tensor imaging and high angular resolution diffusion imaging. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine, 50(5), 955–965.

    Article  Google Scholar 

  • Peng, S.-J., Harnod, T., Tsai, J.-Z., Huang, C.-C., Ker, M.-D., Chiou, J.-C., et al. (2014). Through diffusion tensor magnetic resonance imaging to evaluate the original properties of neural pathways of patients with partial seizures and secondary generalization by individual anatomic reference atlas. BioMed esearch international, 2014, 419376.

    Google Scholar 

  • Perlstein, M. D., Chohan, M. R., Coman, I. L., Antshel, K. M., Fremont, W. P., Gnirke, M. H., et al. (2014). White matter abnormalities in 22q11.2 deletion syndrome: preliminary associations with the Nogo-66 receptor gene and symptoms of sychosis. Schizophrenia Research, 152(1), 117–123.

    Article  PubMed Central  PubMed  Google Scholar 

  • Pfefferbaum, A., Rosenbloom, M. J., Chu, W., Sassoon, S. A., Rohlfing, T., Pohl, K. M., et al. (2014). White matter microstructural recovery with abstinence and decline with relapse in alcohol dependence interacts with normal geing: a controlled longitudinal DTI tudy. The Lancet Psychiatry, 1(3), 202–212.

    Article  Google Scholar 

  • Pipe, J. G., Farthing, V. G., & Forbes, K. P. (2002). Multishot diffusion-weighted FSE using PROPELLER MRI. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine, 47(1), 42–52.

    Article  Google Scholar 

  • Rathi, Y., & Westin, C.-F. (2015). Probability distribution functions in diffusion MRI. In Brain Mapping (pp. 253–255). Elsevier.

  • Roldan-Valadez, E., & Lopez-Mejia, M. (2014). Current concepts on magnetic resonance imaging (MRI) perfusion-diffusion assessment in acute ischaemic stroke: a review & an update for the linicians. The Indian Journal of Medical Research, 140(6), 717–728.

    PubMed Central  PubMed  Google Scholar 

  • Romero, M. J., Asensio, S., Palau, C., Sanchez, A., & Romero, F. J. (2010). Cocaine addiction: diffusion tensor imaging study of the inferior frontal and anterior cingulate white matter. Psychiatry Research, 181(1), 57–63.

    Article  CAS  PubMed  Google Scholar 

  • Santis, S., Assaf, Y., Evans, C. J., & Jones, D. K. (2014). Improved precision in CHARMED assessment of white matter through sampling scheme optimization and model parsimony testing. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine, 71(2), 661–671.

    Article  CAS  Google Scholar 

  • Schwarz, C. G., Reid, R. I., Gunter, J. L., Senjem, M. L., Przybelski, S. A., Zuk, S. M., et al. (2014). Improved DTI registration allows voxel-based analysis that outperforms tract-based spatial tatistics. NeuroImage, 94, 65–78.

    Article  PubMed Central  PubMed  Google Scholar 

  • Setsompop, K., Kimmlingen, R., Eberlein, E., Witzel, T., Cohen-Adad, J., McNab, J. A., et al. (2013). Pushing the limits of in vivo diffusion MRI for the Human Connectome Project. NeuroImage, 80, 220–233.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Sevick, R. J., Kucharczyk, J., Mintorovitch, J., Moseley, M. E., Derugin, N., & Norman, D. (1990). Diffusion-weighted MR imaging and T2-weighted MR imaging in acute cerebral ischaemia: comparison and correlation with histopathology. Acta Neurochirurgica. Supplementum, 51, 210–212.

    CAS  PubMed  Google Scholar 

  • Simonsen, C. Z., Madsen, M. H., Schmitz, M. L., Mikkelsen, I. K., Fisher, M., & Andersen, G. (2015). Sensitivity of diffusion- and perfusion-weighted imaging for diagnosing acute ischemic troke is 97.5 %. Stroke; a journal of cerebral circulation, 46(1), 98–101.

    Article  PubMed  Google Scholar 

  • Skelly, L. R., Calhoun, V., Meda, S. A., Kim, J., Mathalon, D. H., & Pearlson, G. D. (2008). Diffusion tensor imaging in schizophrenia: relationship to symptoms. Schizophrenia Research, 98(1-3), 157–162.

    Article  PubMed Central  PubMed  Google Scholar 

  • Skidmore, F. M., Spetsieris, P. G., Anthony, T., Cutter, G. R., von Deneen, K. M., Liu, Y., et al. (2015). A full-brain, bootstrapped analysis of diffusion tensor imaging robustly differentiates Parkinson disease from healthy controls. Neuroinformatics, 13(1), 7–18.

    Article  CAS  PubMed  Google Scholar 

  • Skudlarski, P., Schretlen, D. J., Thaker, G. K., Stevens, M. C., Keshavan, M. S., Sweeney, J. A., et al. (2013). Diffusion tensor imaging white matter endophenotypes in patients with schizophrenia or psychotic bipolar disorder and their relatives. The American Journal of Psychiatry, 170(8), 886–898.

    Article  PubMed  Google Scholar 

  • Smith, S. M., Jenkinson, M., Johansen-Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., et al. (2006). Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. NeuroImage, 31(4), 1487–1505.

    Article  PubMed  Google Scholar 

  • Song, S.-K., Sun, S.-W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H. (2002). Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water. NeuroImage, 17(3), 1429–1436.

    Article  PubMed  Google Scholar 

  • Sotiropoulos, S. N., Jbabdi, S., Xu, J., Andersson, J. L., Moeller, S., Auerbach, E. J., et al. (2013). Advances in diffusion MRI acquisition and processing in the Human Connectome Project. NeuroImage, 80, 125–143.

    Article  PubMed Central  PubMed  Google Scholar 

  • Stejskal, E. O., & Tanner, J. E. (1965). Spin diffusion measurements: spin echoes in the presence of a time-dependent field gradient. The Journal of Chemical Physics, 42(1), 288–292.

    Article  CAS  Google Scholar 

  • Sui, J., Pearlson, G. D., Du, Y., Yu, Q., Jones, T. R., Chen, J., et al. (2015). In search of multimodal neuroimaging biomarkers of cognitive deficits in schizophrenia. Biological Psychiatry. doi:10.1016/j.biopsych.2015.02.017.

    PubMed  Google Scholar 

  • Sun, Z., Wang, F., Cui, L., Breeze, J., Du, X., Wang, X., et al. (2003). Abnormal anterior cingulum in patients with schizophrenia: a diffusion tensor imaging tudy. Neuroreport, 14(14), 1833–1836.

  • Sundram, F., Deeley, Q., Sarkar, S., Daly, E., Latham, R., Craig, M., et al. (2012). White matter microstructural abnormalities in the frontal lobe of adults with antisocial personality disorder. Cortex; a journal devoted to the study of the nervous system and behavior, 48(2), 216–229.

    Article  PubMed  Google Scholar 

  • Tournier, J.-D., Calamante, F., Gadian, D. G., & Connelly, A. (2004). Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution. NeuroImage, 23(3), 1176–1185.

    Article  PubMed  Google Scholar 

  • Tuch, D. S. (2004). Q-ball imaging. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine/Society of Magnetic Resonance in Medicine, 52(6), 1358–1372.

    Article  Google Scholar 

  • Tuch, D. S., Reese, T. G., Wiegell, M. R., & Wedeen, V. J. (2003). Diffusion MRI of complex neural rchitecture. Neuron, 40(5), 885–895.

    Article  CAS  PubMed  Google Scholar 

  • Uno, H., Nagatsuka, K., Kokubo, Y., Higashi, M., Yamada, N., Umesaki, A., et al. (2015). Detectability of ischemic lesions on diffusion-weighted imaging is biphasic after transient ischemic attack. Journal of stroke and cerebrovascular diseases: the official journal of National Stroke Association, 24(5), 1059–1064.

    Article  Google Scholar 

  • Van den Heuvel, M. P., Stam, C. J., Boersma, M., & Hulshoff Pol, H. E. (2008). Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain. NeuroImage, 43(3), 528–539.

    Article  PubMed  Google Scholar 

  • Van Essen, D. C., Ugurbil, K., Auerbach, E., Barch, D., Behrens, T. E. J., Bucholz, R., et al. (2012). The Human Connectome Project: a data acquisition perspective. NeuroImage, 62(4), 2222–2231.

    Article  PubMed Central  PubMed  Google Scholar 

  • Vecchio, F., Miraglia, F., Curcio, G., Altavilla, R., Scrascia, F., Giambattistelli, F., et al. (2015). Cortical brain connectivity evaluated by graph theory in dementia: a correlation study between functional and structural ata. Journal of Alzheimer’s disease: JAD, 45(3), 745–756.

    PubMed  Google Scholar 

  • Voineskos, A. N., Lobaugh, N. J., Bouix, S., Rajji, T. K., Miranda, D., Kennedy, J. L., et al. (2010). Diffusion tensor tractography findings in schizophrenia across the adult lifespan. Brain: A Journal of Neurology, 133(Pt 5), 1494–1504.

    Article  Google Scholar 

  • Vos, S. B., Jones, D. K., Jeurissen, B., Viergever, M. A., & Leemans, A. (2012). The influence of complex white matter architecture on the mean diffusivity in diffusion tensor MRI of the human brain. NeuroImage, 59(3), 2208–2216.

    Article  PubMed  Google Scholar 

  • Wang, F., Sun, Z., Cui, L., Du, X., Wang, X., Zhang, H., et al. (2004). Anterior cingulum abnormalities in male patients with schizophrenia determined through diffusion tensor imaging. The American Journal of Psychiatry, 161(3), 573–575.

    Article  PubMed  Google Scholar 

  • Whalley, H. C., Nickson, T., Pope, M., Nicol, K., Romaniuk, L., Bastin, M. E., et al. (2015). White matter integrity and its association with affective and interpersonal symptoms in borderline personality disorder. NeuroImage. Clinical, 7, 476–481.

    Article  PubMed Central  PubMed  Google Scholar 

  • Wiegell, M. R., Larsson, H. B. W., & Wedeen, V. J. (2000). Fiber Crossing in Human Brain Depicted with Diffusion Tensor MR Imaging. Radiology, 217(3), 897–903.

    Article  CAS  PubMed  Google Scholar 

  • Witt, S. T., & Stevens, M. C. (2015). Relationship between white matter microstructure abnormalities and ADHD symptomatology in adolescents. Psychiatry Research, 232(2), 168–174.

    Article  PubMed  Google Scholar 

  • Wolkin, A., Choi, S. J., Szilagyi, S., Sanfilipo, M., Rotrosen, J. P., & Lim, K. O. (2003). Inferior rontal white matter anisotropy and negative symptoms of schizophrenia: a diffusion tensor imaging tudy. The American Journal of Psychiatry, 160(3), 572–574.

    Article  PubMed  Google Scholar 

  • Wozniak, J. R., Mueller, B. A., Lim, K. O., Hemmy, L. S., & Day, J. W. (2014). Tractography reveals diffuse white matter abnormalities in Myotonic Dystrophy Type 1. Journal of the Neurological Sciences, 341(1-2), 73–78.

    Article  PubMed Central  PubMed  Google Scholar 

  • Wright, S. N., Kochunov, P., Chiappelli, J., McMahon, R. P., Muellerklein, F., Wijtenburg, S. A., et al. (2014). Accelerated white matter aging in schizophrenia: role of white matter blood perfusion. Neurobiology of Aging, 35(10), 2411–2418.

    Article  PubMed  Google Scholar 

  • Wu, C.-H., Hwang, T.-J., Chen, Y.-J., Hsu, Y.-C., Lo, Y.-C., Liu, C.-M., et al. (2015). Altered integrity of the right arcuate fasciculus as a trait marker of schizophrenia: a sibling study using tractography-based analysis of the whole brain. Human Brain Mapping, 36(3), 1065–1076.

    Article  PubMed  Google Scholar 

  • Yan, X., Zhou, M., Ying, L., Yin, D., Fan, M., Yang, G., et al. (2013). Evaluation of optimized b-value sampling schemas for diffusion kurtosis imaging with an application to stroke patient data. Computerized medical imaging and graphics: the official journal of the Computerized Medical Imaging Society, 37(4), 272–280.

    Article  Google Scholar 

  • Yassi, N., Churilov, L., Campbell, B. C. V., Sharma, G., Bammer, R., Desmond, P. M., et al. (2015). The association between lesion location and functional outcome after ischemic stroke. International Journal of Stroke: Official Journal of the International Stroke Society. doi:10.1111/ijs.12537.

    Google Scholar 

  • Yendiki, A., Panneck, P., Srinivasan, P., Stevens, A., Zöllei, L., Augustinack, J., et al. (2011). Automated probabilistic reconstruction of white-matter pathways in health and disease using an atlas of the underlying natomy. Frontiers in Neuroinformatics, 5, 23.

    Article  PubMed Central  PubMed  Google Scholar 

  • Zalesky, A. (2011). Moderating registration misalignment in voxelwise comparisons of DTI data: a performance evaluation of skeleton projection. Magnetic Resonance Imaging, 29(1), 111–125.

    Article  PubMed  Google Scholar 

  • Zalesky, A., Fornito, A., Seal, M. L., Cocchi, L., Westin, C.-F., Bullmore, E. T., et al. (2011). Disrupted axonal fiber connectivity in chizophrenia. Biological Psychiatry, 69(1), 80–89.

    Article  PubMed  Google Scholar 

  • Zhang, H., Schneider, T., Wheeler-Kingshott, C. A., & Alexander, D. C. (2012). NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. NeuroImage, 61(4), 1000–1016.

    Article  PubMed  Google Scholar 

  • Zhao, T., Duan, F., Liao, X., Dai, Z., Cao, M., He, Y., & Shu, N. (2015). Test-retest reliability of white matter structural brain networks: a multiband diffusion MRI study. Frontiers in Human Neuroscience, 9, 59.

    PubMed Central  PubMed  Google Scholar 

  • Zheng, Z., Shemmassian, S., Wijekoon, C., Kim, W., Bookheimer, S. Y., & Pouratian, N. (2014). DTI correlates of distinct cognitive impairments in Parkinson’s disease. Human Brain Mapping, 35(4), 1325–1333.

    Article  PubMed Central  PubMed  Google Scholar 

Download references

Acknowledgments

Data for Fig. 8 were provided by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University. Christophe Lenglet, PhD processed the HCP data.

Center for Magnetic Resonance Imaging (CMRR): P41 EB015894 and P30 NS076408.

Author Funding

LH: National Institute on Aging R01AG038651-01A1, National Institute on Aging R01AG386561, National Institute on Aging R01AG039396, National Institute on Aging U01AG046871.

KOL: National Institute on Aging R01AG038651-01A1.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jazmin Camchong.

Glossary

MRI

Magnetic resonance imaging - non-invasive technique that provides images of internal structures by measuring excitability of atoms after application of high-frequency radio waves within a strong magnetic field.

EPI

Echo planar imaging - a type of MRI that utilizes only one nuclear spin excitation per scanned image allowing faster acquisitions.

dMRI

Diffusion magnetic resonance imaging - non-invasive technique that measures the diffusion of molecules (mainly water) in biological tissue (such as the brain) allowing characterization of white matter tracts in the brain.

fMRI

Functional magnetic resonance imaging - non-invasive technique that can be used to measure brain activity by detecting changes in blood flow and oxygenation that occur during neural activity.

ASL

Arterial spin labeling - non-invasive technique that measures cerebral blood flow (without the need of injection of exogenous tracer) by using water in the blood as an endogenous tracer.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mueller, B.A., Lim, K.O., Hemmy, L. et al. Diffusion MRI and its Role in Neuropsychology. Neuropsychol Rev 25, 250–271 (2015). https://doi.org/10.1007/s11065-015-9291-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11065-015-9291-z

Keywords

Navigation