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Title

The CONNECT project: Combining macro- and micro-structure

Authors
Assaf, Yaniv
Alexander, Daniel C
Jones, Derek K
Bizzi, Albero
Behrens, Tim E J
Clark, Chris A
Cohen, Yoram
Dyrby, Tim B
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CollaborationWith : Lazeyras, François
Published in Neuroimage. 2013, vol. 80, p. 273-82
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.
Keywords Brain/cytology/physiologyConnectome/methodsDiffusion Tensor Imaging/methodsHumansImage Enhancement/methodsModels, AnatomicModels, NeurologicalNerve Net/cytology/physiology
Identifiers
PMID: 23727318
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Article (Published version) (2 MB) - document accessible for UNIGE members only Limited access to UNIGE
Structures
Research group L'imagerie cérébrale (184)
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(ISO format)
ASSAF, Yaniv et al. The CONNECT project: Combining macro- and micro-structure. In: Neuroimage, 2013, vol. 80, p. 273-82. https://archive-ouverte.unige.ch/unige:38398

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Deposited on : 2014-07-01

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