000169254 001__ 169254
000169254 005__ 20181203022448.0
000169254 0247_ $$2doi$$a10.1016/j.jneumeth.2011.09.031
000169254 022__ $$a0165-0270
000169254 037__ $$aARTICLE
000169254 245__ $$aMapping the human connectome at multiple scales with diffusion spectrum MRI
000169254 269__ $$a2012
000169254 260__ $$bElsevier$$c2012
000169254 336__ $$aJournal Articles
000169254 520__ $$aThe global structural connectivity of the brain, the human connectome, is now accessible at millimeter scale with the use of MRI. In this paper, we describe an approach to map the connectome by constructing normalized whole-brain structural connection matrices derived from diffusion MRI tractography at 5 different scales. Using a template-based approach to match cortical landmarks of different subjects, we propose a robust method that allows a) the selection of identical cortical Regions Of Interest of desired size and location in different subjects with identification of the associated fiber tracts and computation of related connection parameters b) straightforward construction and interpretation of anatomically organized whole-brain connection matrices and c) statistical intersubject comparison of brain connectivity at various scales. The fully automated post-processing steps necessary to build such matrices are detailed in this paper. Extensive validation tests are performed to assess the reproducibility of the method in a group of 5 healthy subjects and its reliability is as well considerably discussed in a group of 20 healthy subjects.
000169254 6531_ $$aMRI
000169254 6531_ $$aDiffusion MRI
000169254 6531_ $$aconnectome
000169254 6531_ $$aLTS5
000169254 700__ $$0243801$$aCammoun, Leila$$g201473
000169254 700__ $$0(EPFLAUTH)136864$$aGigandet, Xavier$$g136864
000169254 700__ $$0242939$$aMeskaldji, Djalel Eddine$$g120480
000169254 700__ $$0240323$$aThiran, Jean-Philippe$$g115534
000169254 700__ $$aSporns, Olaf
000169254 700__ $$aDo, Kim
000169254 700__ $$0(EPFLAUTH)159392$$aMaeder, Philippe$$g159392
000169254 700__ $$0243802$$aMeuli, Reto$$g141496
000169254 700__ $$0240859$$aHagmann, Patric$$g140571
000169254 773__ $$j203$$k2$$q386-397$$tJournal of Neuroscience Methods
000169254 8564_ $$s3359988$$uhttps://infoscience.epfl.ch/record/169254/files/science.pdf$$yPublisher's version$$zPublisher's version
000169254 909C0 $$0252394$$pLTS5$$xU10954
000169254 909CO $$ooai:infoscience.tind.io:169254$$pSTI$$particle
000169254 917Z8 $$x115534
000169254 917Z8 $$x115534
000169254 937__ $$aEPFL-ARTICLE-169254
000169254 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000169254 980__ $$aARTICLE