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The CONNECT project: Combining macro- and micro-structure

  • Yaniv Assaf
  • , 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. Knösche
  • , Denis LeBihan
  • , Geoff J.M. Parker
  • , Cyril Poupon
  • , Matthew George Liptrot
  • Tel Aviv University
  • Cardiff University
  • IRCCS Istituto Clinico Carlo Besta
  • University of Oxford
  • University College London
  • University of Geneva
  • French Alternative Energies and Atomic Energy Commission
  • University of Manchester
  • Copenhagen University Hospital Herlev and Gentofte
  • Max Planck Institute

Research output: Contribution to journal › Journal article › Research › peer-review

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.
Original languageEnglish
JournalNeuroImage
Volume80
Issue numberOctober
Pages (from-to)273-282
ISSN1053-8119
DOIs
Publication statusPublished - 2013
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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