Literature DB >> 23727318

The CONNECT project: Combining macro- and micro-structure.

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.
Copyright © 2013 Elsevier Inc. All rights reserved.

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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


  49 in total

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Authors:  Ralf Lützkendorf; Robin M Heidemann; Thorsten Feiweier; Michael Luchtmann; Sebastian Baecke; Jörn Kaufmann; Jörg Stadler; Eike Budinger; Johannes Bernarding
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Review 4.  Brain networks in schizophrenia.

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6.  Computational and mathematical methods in brain atlasing.

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7.  Fiber Orientation and Compartment Parameter Estimation From Multi-Shell Diffusion Imaging.

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Review 8.  Human brain atlasing: past, present and future.

Authors:  Wieslaw L Nowinski
Journal:  Neuroradiol J       Date:  2017-11-03

9.  Optimization of macaque brain DMRI connectome by neuron tracing and myelin stain data.

Authors:  Tuo Zhang; Jun Kong; Ke Jing; Hanbo Chen; Xi Jiang; Longchuan Li; Lei Guo; Jianfeng Lu; Xiaoping Hu; Tianming Liu
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10.  Characterizing the connectome in schizophrenia with diffusion spectrum imaging.

Authors:  Alessandra Griffa; Philipp Sebastian Baumann; Carina Ferrari; Kim Quang Do; Philippe Conus; Jean-Philippe Thiran; Patric Hagmann
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