| Literature DB >> 23727318 |
Yaniv Assaf1, Daniel C Alexander, Derek K Jones, Albero Bizzi, Tim E J Behrens, Chris A Clark, Yoram Cohen, Tim B Dyrby, Petra S Huppi, Thomas R Knoesche, Denis Lebihan, Geoff J M Parker, Cyril Poupon, Debbie Anaby, Alfred Anwander, Leah Bar, Daniel Barazany, Tamar Blumenfeld-Katzir, Silvia De-Santis, Delphine Duclap, Matteo Figini, Elda Fischi, Pamela Guevara, Penny Hubbard, Shir Hofstetter, Saad Jbabdi, Nicolas Kunz, Francois Lazeyras, Alice Lebois, Matthew G Liptrot, Henrik Lundell, Jean-François Mangin, David Moreno Dominguez, Darya Morozov, Jan Schreiber, Kiran Seunarine, Simone Nava, Cyril Poupon, Till Riffert, Efrat Sasson, Benoit Schmitt, Noam Shemesh, Stam N Sotiropoulos, Ido Tavor, Hui Gary Zhang, Feng-Lei Zhou.
Abstract
In recent years, diffusion MRI has become an extremely important tool for studying the morphology of living brain tissue, as it provides unique insights into both its macrostructure and microstructure. Recent applications of diffusion MRI aimed to characterize the structural connectome using tractography to infer connectivity between brain regions. In parallel to the development of tractography, additional diffusion MRI based frameworks (CHARMED, AxCaliber, ActiveAx) were developed enabling the extraction of a multitude of micro-structural parameters (axon diameter distribution, mean axonal diameter and axonal density). This unique insight into both tissue microstructure and connectivity has enormous potential value in understanding the structure and organization of the brain as well as providing unique insights to abnormalities that underpin disease states. The CONNECT (Consortium Of Neuroimagers for the Non-invasive Exploration of brain Connectivity and Tracts) project aimed to combine tractography and micro-structural measures of the living human brain in order to obtain a better estimate of the connectome, while also striving to extend validation of these measurements. This paper summarizes the project and describes the perspective of using micro-structural measures to study the connectome.Entities:
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Year: 2013 PMID: 23727318 DOI: 10.1016/j.neuroimage.2013.05.055
Source DB: PubMed Journal: Neuroimage ISSN: 1053-8119 Impact factor: 6.556