Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • News and Commentary
  • Published:

Visualizing the architecture of psychiatry

High-resolution diffusion imaging: ready to become more than just a research tool in psychiatry?

This is a preview of subscription content, access via your institution

Relevant articles

Open Access articles citing this article.

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1
Figure 2
Figure 3

References

  1. Mayberg HS . Neuroimaging and psychiatry: the long road from bench to bedside. The Hastings Center report 2014; Spec No: S31–6.

  2. Bullmore E, Sporns O . Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci 2009; 10: 186–198.

    Article  CAS  PubMed  Google Scholar 

  3. Chi KF, Korgaonkar M, Grieve SM . Imaging predictors of remission to anti-depressant medications in major depressive disorder. J Affect Disord 2015; 186: 134–144.

    Article  PubMed  Google Scholar 

  4. Korgaonkar MS, Fornito A, Williams LM, Grieve SM . Abnormal structural networks characterize major depressive disorder: a connectome analysis. Biol Psychiatry 2014; 76: 567–574.

    Article  PubMed  Google Scholar 

  5. Korgaonkar MS, Williams LM, Song YJ, Usherwood T, Grieve SM . Diffusion tensor imaging predictors of treatment outcomes in major depressive disorder. The British J Psychiatry 2014; 205: 321–328.

    Article  Google Scholar 

  6. Korgaonkar MS, Rekshan W, Gordon E, Rush AJ, Williams LM, Blasey C et al. Magnetic resonance imaging measures of brain structure to predict antidepressant treatment outcome in major depressive disorder. EBioMedicine 2015; 2: 37–45.

    Article  PubMed  Google Scholar 

  7. Grieve SM, Korgaonkar MS, Gordon E, Williams LM, Rush AJ . Prediction of nonremission to antidepressant therapy using diffusion tensor imaging. J Clin Psychiatry 2016; 77: e436–e443.

    Article  PubMed  Google Scholar 

  8. Farquharson S, Tournier JD, Calamante F, Fabinyi G, Schneider-Kolsky M, Jackson GD et al. White matter fiber tractography: why we need to move beyond DTI. J Neurosurg 2013; 118: 1367–1377.

    Article  PubMed  Google Scholar 

  9. Grossman EJ, Jensen JH, Babb JS, Chen Q, Tabesh A, Fieremans E et al. Cognitive impairment in mild traumatic brain injury: a longitudinal diffusional kurtosis and perfusion imaging study. AJNR Am J Neuroradiol 2013; 34: 951–957, S1-3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. McNab JA, Edlow BL, Witzel T, Huang SY, Bhat H, Heberlein K et al. The Human Connectome Project and beyond: initial applications of 300 mT/m gradients. Neuroimage 2013; 80: 234–245.

    Article  PubMed  Google Scholar 

  11. Setsompop K, Kimmlingen R, Eberlein E, Witzel T, Cohen-Adad J, McNab JA et al. Pushing the limits of in vivo diffusion MRI for the Human Connectome Project. Neuroimage 2013; 80: 220–233.

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S M Grieve.

Ethics declarations

Competing interests

The authors declare no conflict of interest.

PowerPoint slides

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Grieve, S., Maller, J. High-resolution diffusion imaging: ready to become more than just a research tool in psychiatry?. Mol Psychiatry 22, 1082–1084 (2017). https://doi.org/10.1038/mp.2016.170

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/mp.2016.170

This article is cited by

Search

Quick links