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      Brain disconnections link structural connectivity with function and behaviour

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          Abstract

          Brain lesions do not just disable but also disconnect brain areas, which once deprived of their input or output, can no longer subserve behaviour and cognition. The role of white matter connections has remained an open question for the past 250 years. Based on 1333 stroke lesions, here we reveal the human Disconnectome and demonstrate its relationship to the functional segregation of the human brain. Results indicate that functional territories are not only defined by white matter connections, but also by the highly stereotyped spatial distribution of brain disconnections. While the former has granted us the possibility to map 590 functions on the white matter of the whole brain, the latter compels a revision of the taxonomy of brain functions. Overall, our freely available Atlas of White Matter Function will enable improved clinical-neuroanatomical predictions for brain lesion studies and provide a platform for explorations in the domain of cognition.

          Abstract

          Brain disconnection after stroke leads to functional deficits whose anatomical basis is poorly understood. Here, based on a collection of stroke imaging, a database of neuroimaging meta-analysis, and high fidelity white matter mapping, the authors provide an atlas of human white matter function.

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          Most cited references44

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          FSL.

          FSL (the FMRIB Software Library) is a comprehensive library of analysis tools for functional, structural and diffusion MRI brain imaging data, written mainly by members of the Analysis Group, FMRIB, Oxford. For this NeuroImage special issue on "20 years of fMRI" we have been asked to write about the history, developments and current status of FSL. We also include some descriptions of parts of FSL that are not well covered in the existing literature. We hope that some of this content might be of interest to users of FSL, and also maybe to new research groups considering creating, releasing and supporting new software packages for brain image analysis. Copyright © 2011 Elsevier Inc. All rights reserved.
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            Advances in functional and structural MR image analysis and implementation as FSL.

            The techniques available for the interrogation and analysis of neuroimaging data have a large influence in determining the flexibility, sensitivity, and scope of neuroimaging experiments. The development of such methodologies has allowed investigators to address scientific questions that could not previously be answered and, as such, has become an important research area in its own right. In this paper, we present a review of the research carried out by the Analysis Group at the Oxford Centre for Functional MRI of the Brain (FMRIB). This research has focussed on the development of new methodologies for the analysis of both structural and functional magnetic resonance imaging data. The majority of the research laid out in this paper has been implemented as freely available software tools within FMRIB's Software Library (FSL).
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              UMAP: Uniform Manifold Approximation and Projection

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                Author and article information

                Contributors
                michel.thiebaut@gmail.com
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                9 October 2020
                9 October 2020
                2020
                : 11
                : 5094
                Affiliations
                [1 ]GRID grid.462844.8, ISNI 0000 0001 2308 1657, Brain Connectivity and Behaviour Laboratory, , Sorbonne University, ; Paris, France
                [2 ]GRID grid.412041.2, ISNI 0000 0001 2106 639X, Groupe d’Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives-UMR 5293, CNRS, CEA, , University of Bordeaux, ; Bordeaux, France
                [3 ]GRID grid.83440.3b, ISNI 0000000121901201, Institute of Neurology, , UCL, ; London, WC1N 3BG UK
                Author information
                http://orcid.org/0000-0002-0329-1814
                http://orcid.org/0000-0002-7822-2653
                Article
                18920
                10.1038/s41467-020-18920-9
                7547734
                33037225
                e578e68c-9b3e-47a1-bfff-a71f143e226f
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 February 2020
                : 18 September 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/100010663, EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council);
                Award ID: 818521
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100004440, Wellcome Trust (Wellcome);
                Categories
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                © The Author(s) 2020

                Uncategorized
                neuroscience,cognitive neuroscience
                Uncategorized
                neuroscience, cognitive neuroscience

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