Diffusion MRI-based cortical connectome reconstruction: Dependency on tractography procedures and neuroanatomical characteristics

Michel R. T. Sinke*, Willem M. Otte, Daan Christiaens, Oliver Schmitt, Alexander Leemans, Annette van der Toorn, R. Angela Sarabdjitsingh, Marian Joels, Rick M. Dijkhuizen

*Corresponding author for this work

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    Abstract

    Diffusion MRI (dMRI)-based tractography offers unique abilities to map whole-brain structural connections in human and animal brains. However, dMRI-based tractography indirectly measures white matter tracts, with suboptimal accuracy and reliability. Recently, sophisticated methods including constrained spherical deconvolution (CSD) and global tractography have been developed to improve tract reconstructions through modeling of more complex fiber orientations. Our study aimed to determine the accuracy of connectome reconstruction for three dMRI-based tractography approaches: diffusion tensor (DT)-based, CSD-based and global tractography. Therefore, we validated whole brain structural connectome reconstructions based on ten ultrahigh-resolution dMRI rat brain scans and 106 cortical regions, from which varying tractography parameters were compared against standardized neuronal tracer data. All tested tractography methods generated considerable numbers of false positive and false negative connections. There was a parameter range trade-off between sensitivity: 0.06-0.63 interhemispherically and 0.22-0.86 intrahemispherically; and specificity: 0.99-0.60 interhemispherically and 0.99-0.23 intrahemispherically. Furthermore, performance of all tractography methods decreased with increasing spatial distance between connected regions. Similar patterns and trade-offs were found, when we applied spherical deconvolution informed filtering of tractograms, streamline thresholding and group-based average network thresholding. Despite the potential of CSD-based and global tractography to handle complex fiber orientations at voxel level, reconstruction accuracy, especially for long-distance connections, remains a challenge. Hence, connectome reconstruction benefits from varying parameter settings and combination of tractography methods to account for anatomical variation of neuronal pathways.

    Original languageEnglish
    Pages (from-to)2269-2285
    Number of pages17
    JournalBrain Structure and Function
    Volume223
    Issue number5
    DOIs
    Publication statusPublished - Jun-2018

    Keywords

    • Brain
    • Brain connectomics
    • Diffusion MRI
    • Diffusion tractography
    • Constrained spherical deconvolution
    • Neuronal tracers
    • Rats
    • SPHERICAL-DECONVOLUTION
    • HUMAN BRAIN
    • IN-VIVO
    • STREAMLINES TRACTOGRAPHY
    • GLOBAL TRACTOGRAPHY
    • MACAQUE BRAIN
    • WEIGHTED MRI
    • MOUSE-BRAIN
    • FIBER
    • ROBUST

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