Cic edizioni internazionali
Functional Neurology

Modeling white matter microstructure

Review, 217 - 228
doi: 10.11138/FNeur/2016.31.4.217
Tag this article
Abstract
Full text PDF
Quantitative magnetic resonance imaging can be combined with advanced biophysical models to measure microstructural features of white matter. Non-invasive microstructural imaging has the potential to revolutionize neuroscience, and acquiring these measures in clinically feasible times would greatly improve patient monitoring and clinical studies of drug efficacy. However, a good understanding of microstructural imaging techniques is essential to set realistic expectations and to prevent over-interpretation of results. This review explains the methodology behind microstructural modeling and imaging, and gives an overview of the breakthroughs and challenges associated with it.

Vol. XXXI (No. 4) 2016 October/December

  1. The challenge of in vivo tissue characterization, connectivity and big data
    Gandini Wheeler-Kingshott C.
    doi: 10.11138/FNeur/2016.31.4.189
  2. Network functional connectivity and whole-brain functional connectomics to investigate cognitive decline in neurodegenerative conditions
    Dipasquale O., Cercignani M.
    doi: 10.11138/FNeur/2016.31.4.191
  3. Magnetic resonance imaging and positron emission tomography in the diagnosis of neurodegenerative dementias
    Del Sole A., Malaspina S., Magenta Biasina A.
    doi: 10.11138/FNeur/2016.31.4.205
  4. Modeling white matter microstructure
    Duval T., Stikov N., Cohen-Adad J.
    doi: 10.11138/FNeur/2016.31.4.217
  5. Reconstructing contralateral fiber tracts: methodological aspects of cerebello-thalamocortical pathway reconstruction
    Palesi F., Tournier J-D, Calamante F., Muhlert N., Castellazzi G., Chard D., D'Angelo E., Wheeler-Kingshott C.G.
    doi: 10.11138/FNeur/2016.31.4.229
  6. Impact of cerebellar atrophy on cortical gray matter and cerebellar peduncles as assessed by voxel-based morphometry and high angular resolution diffusion imaging
    Dayan M., Olivito G., Molinari M., Cercignani M., Bozzali M., Leggio M.
    doi: 10.11138/FNeur/2016.31.4.239
  7. Connectivity measures in the Poffenberger paradigm indicate hemispheric asymmetries
    Erbil N., Yagcioglu S.
    doi: 10.11138/FNeur/2016.31.4.249
  8. Main effects and interactions of cerebral hemispheres, gender, and age in the calculation of volumes and asymmetries of selected structures of episodic memory
    Ramirez-Carmona R., Garcia-Lazaro H.G., Dominguez-Corrales B., Aguilar-Castañeda E., Roldan-Valadez E.
    doi: 10.11138/FNeur/2016.31.4.257
Last Viewed articles: la lista degli ultimi x visitati.
  1. Modeling white matter microstructure
    Duval T., Stikov N., Cohen-Adad J.
    doi: 10.11138/FNeur/2016.31.4.217
credits