Abstract：
:The human brainstem is a densely packed, complex but highly organised structure. It not only serves as a conduit for long projecting axons conveying motor and sensory information, but also is the location of multiple primary nuclei that control or modulate a vast array of functions, including homeostasis, consciousness, locomotion, and reflexive and emotive behaviours. Despite its importance, both in understanding normal brain function as well as neurodegenerative processes, it remains a sparsely studied structure in the neuroimaging literature. In part, this is due to the difficulties in imaging the internal architecture of the brainstem in vivo in a reliable and repeatable fashion. A modified multivariate mixture of Gaussians (mmMoG) was applied to the problem of multichannel tissue segmentation. By using quantitative magnetisation transfer and proton density maps acquired at 3 T with 0.8 mm isotropic resolution, tissue probability maps for four distinct tissue classes within the human brainstem were created. These were compared against an ex vivo fixated human brain, imaged at 0.5 mm, with excellent anatomical correspondence. These probability maps were used within SPM8 to create accurate individual subject segmentations, which were then used for further quantitative analysis. As an example, brainstem asymmetries were assessed across 34 right-handed individuals using voxel based morphometry (VBM) and tensor based morphometry (TBM), demonstrating highly significant differences within localised regions that corresponded to motor and vocalisation networks. This method may have important implications for future research into MRI biomarkers of pre-clinical neurodegenerative diseases such as Parkinson's disease.
journal_name
Neuroimage Clinjournal_title
NeuroImage. Clinicalauthors
Lambert C,Lutti A,Helms G,Frackowiak R,Ashburner Jdoi
10.1016/j.nicl.2013.04.017subject
Has Abstractpub_date
2013-05-16 00:00:00pages
684-94issn
2213-1582pii
S2213-1582(13)00056-9journal_volume
2pub_type
杂志文章abstract：:Transgenic animal models of Aβ pathology provide mechanistic insight into some aspects of Alzheimer disease (AD) pathology related to Aβ accumulation. Quantitative neuroimaging is a possible aid to improve translation of mechanistic findings in transgenic models to human end phenotypes of brain morphology or function....
journal_title：NeuroImage. Clinical
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journal_title：NeuroImage. Clinical
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journal_title：NeuroImage. Clinical
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journal_title：NeuroImage. Clinical
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journal_title：NeuroImage. Clinical
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journal_title：NeuroImage. Clinical
pub_type： 杂志文章
doi：10.1016/j.nicl.2014.06.010
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journal_title：NeuroImage. Clinical
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journal_title：NeuroImage. Clinical
pub_type： 杂志文章,评审
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doi：10.1016/j.nicl.2017.06.020
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journal_title：NeuroImage. Clinical
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doi：10.1016/j.nicl.2017.12.037
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journal_title：NeuroImage. Clinical
pub_type： 杂志文章
doi：10.1016/j.nicl.2014.12.003
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journal_title：NeuroImage. Clinical
pub_type： 杂志文章
doi：10.1016/j.nicl.2020.102181
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journal_title：NeuroImage. Clinical
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doi：10.1016/j.nicl.2018.10.015
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journal_title：NeuroImage. Clinical
pub_type： 杂志文章
doi：10.1016/j.nicl.2015.04.020
更新日期：2015-04-30 00:00:00
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journal_title：NeuroImage. Clinical
pub_type： 杂志文章
doi：10.1016/j.nicl.2016.05.010
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journal_title：NeuroImage. Clinical
pub_type： 杂志文章
doi：10.1016/j.nicl.2019.101869
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journal_title：NeuroImage. Clinical
pub_type： 杂志文章
doi：10.1016/j.nicl.2017.07.015
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journal_title：NeuroImage. Clinical
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journal_title：NeuroImage. Clinical
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doi：10.1016/j.nicl.2012.09.003
更新日期：2012-09-12 00:00:00
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journal_title：NeuroImage. Clinical
pub_type： 杂志文章
doi：10.1016/j.nicl.2014.04.004
更新日期：2014-04-13 00:00:00
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pub_type： 杂志文章
doi：10.1016/j.nicl.2020.102534
更新日期：2020-12-22 00:00:00
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journal_title：NeuroImage. Clinical
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doi：10.1016/j.nicl.2020.102500
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journal_title：NeuroImage. Clinical
pub_type： 杂志文章
doi：10.1016/j.nicl.2016.01.010
更新日期：2016-01-12 00:00:00
abstract：:Standard MRI methods are often inadequate for identifying mild traumatic brain injury (TBI). Advances in diffusion tensor imaging now provide potential biomarkers of TBI among white matter fascicles (tracts). However, it is still unclear which tracts are most pertinent to TBI diagnosis. This study ranked fiber tracts ...
journal_title：NeuroImage. Clinical
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