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      Cerebello-cerebral connectivity in the developing brain

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          Abstract

          Disrupted cerebellar development and injury is associated with impairments in both motor and non-motor domains. Methods to non-invasively characterize cerebellar afferent and efferent connections during early development are lacking. The aim of this study was to assess the feasibility of delineating cortico-ponto-cerebellar (CPC) and cerebello-thalamo-cortical (CTC) white matter tracts during brain development using high angular resolution diffusion imaging (HARDI). HARDI data were obtained in 24 infants born between 24 +6 and 39 weeks gestational age (median 33 +4 weeks) and scanned between 29 +1 and 44 weeks postmenstrual age (PMA) (median 37 +1 weeks). Probabilistic tractography of CPC and CTC fibers was performed using constrained spherical deconvolution. Connections between cerebellum and contralateral cerebral hemisphere were identified in all infants studied. Fractional anisotropy (FA) values of CTC and CPC pathways increased with increasing PMA at scan ( p < 0.001). The supratentorial regions connecting to contralateral cerebellum in most subjects, irrespective of PMA at scan, included the precentral cortex, superior frontal cortex, supplementary motor area, insula, postcentral cortex, precuneus, and paracentral lobule. This study demonstrates the feasibility of assessing CTC and CPC white matter connectivity in vivo during the early stages of development. The ability to assess cerebellar connectivity during this critical developmental period may help improve our understanding of the role of the cerebellum in a wide range of neuromotor and neurocognitive disorders.

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          The online version of this article (doi:10.1007/s00429-016-1296-8) contains supplementary material, which is available to authorized users.

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          Most cited references73

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          Robust determination of the fibre orientation distribution in diffusion MRI: non-negativity constrained super-resolved spherical deconvolution.

          Diffusion-weighted (DW) MR images contain information about the orientation of brain white matter fibres that potentially can be used to study human brain connectivity in vivo using tractography techniques. Currently, the diffusion tensor model is widely used to extract fibre directions from DW-MRI data, but fails in regions containing multiple fibre orientations. The spherical deconvolution technique has recently been proposed to address this limitation. It provides an estimate of the fibre orientation distribution (FOD) by assuming the DW signal measured from any fibre bundle is adequately described by a single response function. However, the deconvolution is ill-conditioned and susceptible to noise contamination. This tends to introduce artefactual negative regions in the FOD, which are clearly physically impossible. In this study, the introduction of a constraint on such negative regions is proposed to improve the conditioning of the spherical deconvolution. This approach is shown to provide FOD estimates that are robust to noise whilst preserving angular resolution. The approach also permits the use of super-resolution, whereby more FOD parameters are estimated than were actually measured, improving the angular resolution of the results. The method provides much better defined fibre orientation estimates, and allows orientations to be resolved that are separated by smaller angles than previously possible. This should allow tractography algorithms to be designed that are able to track reliably through crossing fibre regions.
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            MRtrix: Diffusion tractography in crossing fiber regions

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              The cerebellum, sensitive periods, and autism.

              Cerebellar research has focused principally on adult motor function. However, the cerebellum also maintains abundant connections with nonmotor brain regions throughout postnatal life. Here we review evidence that the cerebellum may guide the maturation of remote nonmotor neural circuitry and influence cognitive development, with a focus on its relationship with autism. Specific cerebellar zones influence neocortical substrates for social interaction, and we propose that sensitive-period disruption of such internal brain communication can account for autism's key features.
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                Author and article information

                Contributors
                +31 010 7043404 , f.hoebeek@erasmusmc.nl
                Journal
                Brain Struct Funct
                Brain Struct Funct
                Brain Structure & Function
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                1863-2653
                1863-2661
                29 August 2016
                29 August 2016
                2017
                : 222
                : 4
                : 1625-1634
                Affiliations
                [1 ]ISNI 0000 0001 2322 6764, GRID grid.13097.3c, Division of Imaging Sciences and Biomedical Engineering, Centre for the Developing Brain, , King’s College London, ; London, SE1 7EH UK
                [2 ]ISNI 000000040459992X, GRID grid.5645.2, Department of Neonatology, , Erasmus Medical Centre, Sophia Children’s Hospital, ; Rotterdam, The Netherlands
                [3 ]ISNI 000000040459992X, GRID grid.5645.2, Department of Radiology, , Erasmus Medical Centre, ; Rotterdam, The Netherlands
                [4 ]ISNI 000000040459992X, GRID grid.5645.2, Department of Neuroscience, , Erasmus Medical Centre, ; Rotterdam, The Netherlands
                [5 ]ISNI 0000 0001 2322 6764, GRID grid.13097.3c, Division of Imaging Sciences and Biomedical Engineering, Department of Biomedical Engineering, , King’s College London, ; London, SE1 7EH UK
                [6 ]ISNI 0000000090126352, GRID grid.7692.a, Department of Perinatology, Wilhelmina Children’s Hospital and Brain Center Rudolf Magnus, , University Medical Center Utrecht, ; Utrecht, The Netherlands
                Article
                1296
                10.1007/s00429-016-1296-8
                5406415
                27573027
                0027ee6b-5e25-47a9-a514-e7007adbe5f9
                © The Author(s) 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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.

                History
                : 18 November 2015
                : 22 August 2016
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000265, Medical Research Council;
                Award ID: MR/K006355/1
                Award ID: MR/K006355/1
                Award ID: MR/L011530/1
                Award ID: MR/L011530/1
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000272, National Institute for Health Research;
                Funded by: Royal Netherlands Academy of Arts & Sciences (Ter Meulen Grant)
                Funded by: Netherlands Organisation for Scientific Research
                Award ID: NWO-VIDI 016.121.346; TOP-GO L.10.066
                Award Recipient :
                Categories
                Original Article
                Custom metadata
                © Springer-Verlag Berlin Heidelberg 2017

                Neurology
                infant,brain,cerebellum,diffusion mri,tractography
                Neurology
                infant, brain, cerebellum, diffusion mri, tractography

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