In Vivo Tracing of Neural Tracts in Tiptoe-Walking Yoshimura Mice by Diffusion Tensor Tractography

Takano, Morito; Komaki, Yuji; Hikishima, Keigo; Konomi, Tsunehiko; Fujiyoshi, Kanehiro; Tsuji, Osahiko; Toyama, Yoshiaki; Nakamura, Masaya

doi:10.1007/978-4-431-54502-6_10

Cited by 6 publications

(6 citation statements)

References 19 publications

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“…The reason for this may be that the cervical cord, especially white matter, is characterised by a highly coherent orientation [29] . Canal stenosis and compression could lead to disordered neurite orientation [33] , [34] . However, when the compression is relieved by surgery, the disorder may be resolved.…”

Section: Discussionmentioning

confidence: 99%

Usefulness of conventional magnetic resonance imaging, diffusion tensor imaging and neurite orientation dispersion and density imaging in evaluating postoperative function in patients with cervical spondylotic myelopathy

Jiang¹,

Han²,

Guo³

et al. 2018

Journal of Orthopaedic Translation

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ObjectiveThe objective of this study was to evaluate the usefulness of T2 high signal intensity (T2-HSI) and decreased anteroposterior diameter (APD), diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) in evaluating postoperative cervical cord function.MethodsThe study included 57 postoperative cervical spondylotic myelopathy patients. Clinical evaluation and functional recovery assessments were performed using the modified Japanese Orthopaedic Association (mJOA) score and recovery rate. The presence of T2-HSI and decreased APD was recorded for exploring the relevance. Spearman correlation was applied to investigate the relationships between DTI and NODDI metrics and mJOA score. Multiple comparisons of T2 signal intensity, APD and diffusion metrics were evaluated by using multiple linear regression.ResultsOnly the recovery rate was significantly different between T2-HSI and non-T2-HSI (nT2-HSI) patients (χ2 = 4.466, p = 0.045). Significant differences were not observed between cervical cords with and without decreased APD. Diffusion metrics, including fractional anisotropy (p = 0.0005), mean diffusivity (p = 0.0008), radial diffusivity (p = 0.0003) and intracellular volume fraction (p = 0.001), were significantly correlated with mJOA score. The ability of T2 signal intensity (p = 0.421) and APD (p = 0.420) to evaluate the postoperative function was inferior to that of fractional anisotropy (p = 0.002), mean diffusivity (p = 0.001), radial diffusivity (p = 0.001) and intracellular volume fraction (p = 0.004).ConclusionConventional magnetic resonance imaging signs could be considered as a reference to make an approximate assessment, whereas DTI and NODDI could be better quantitative tools for evaluating the postoperative function and may help in interpreting residual symptoms.The translational potential of this articleDTI and NODDI could provide reliable postoperative evaluation and analysis for cervical spondylotic myelopathy patients.

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Section: Discussionmentioning

confidence: 99%

Usefulness of conventional magnetic resonance imaging, diffusion tensor imaging and neurite orientation dispersion and density imaging in evaluating postoperative function in patients with cervical spondylotic myelopathy

Jiang¹,

Han²,

Guo³

et al. 2018

Journal of Orthopaedic Translation

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“…Therefore, it is not always easy to rotate and transform the heavy cadaver frequently because at least 2-3 people are needed to move or rotate one complete cadaver (Table2 Q2). However, through vivid 3D interactive operation, it is a simple task to transform and rotate the virtual human organs in three-dimensional virtual space [25,26] (Table2 Q1, 2). The nal test scores obtained by students in the CVA group supported this view regarding the superiority of a combined teaching mode incorporating the VAS and the traditional dissection course.…”

Section: Discussionmentioning

confidence: 99%

A New Human Anatomy Teaching Mode Combining Virtual Anatomy System and Dissection to Promote Active Learning and Improve Learning Efficiency.

Chen¹,

Fang²,

Tan³

et al. 2020

Preprint

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Background: Education of human anatomy has always experienced many difficulties, including the lack of anatomical specimens and limitations imposed by anatomical dissection techniques that damage and change the shape and position of the anatomical structures. Methods: A digital virtual anatomy system may be the solution to these difficulties. Based on high-resolution sectional anatomical images from the Chinese Visible Human dataset, a virtual anatomy system was created. In total, 170 undergraduate students from the Third Military Medical University were divided into two groups, namely the combining virtual anatomy (CVA) group and the traditional anatomy (TA) group. The CVA group was taught using both the virtual anatomy system and the traditional anatomy course, while the TA group was taught using only the traditional course. After completing the course, the teaching outcomes were assessed by written and practical examinations, and the satisfaction levels of the students and teachers were also assessed with questionnaires.Results: The examination scores and questionnaires showed that the CVA anatomy course provided a comfortable studying environment for medical students and greatly improved their self-learning ability, active thinking ability, 3D spatial thinking ability and interest in learning. Conclusions: The teaching mode adding the virtual anatomy course with the traditional anatomy course is a new and effective way to advance the teaching of human anatomy, which is better than traditional dissection.

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“…Only the TreadScanTM detected normalization of gait measures and the time spent on analysis was dependent on operator experience. DigiGaitTM and TreadScanTM have been particularly well received in neurophysiological research [60,61,62,63,64,65,66,67,68,69,70].…”

Section: Video Tracking Aided By Hardwarementioning

confidence: 99%

Computer Methods for Automatic Locomotion and Gesture Tracking in Mice and Small Animals for Neuroscience Applications: A Survey

Abbas

Rodó

2019

Sensors

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Neuroscience has traditionally relied on manually observing laboratory animals in controlled environments. Researchers usually record animals behaving freely or in a restrained manner and then annotate the data manually. The manual annotation is not desirable for three reasons; (i) it is time-consuming, (ii) it is prone to human errors, and (iii) no two human annotators will 100% agree on annotation, therefore, it is not reproducible. Consequently, automated annotation for such data has gained traction because it is efficient and replicable. Usually, the automatic annotation of neuroscience data relies on computer vision and machine learning techniques. In this article, we have covered most of the approaches taken by researchers for locomotion and gesture tracking of specific laboratory animals, i.e. rodents. We have divided these papers into categories based upon the hardware they use and the software approach they take. We have also summarized their strengths and weaknesses.

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In Vivo Tracing of Neural Tracts in Tiptoe-Walking Yoshimura Mice by Diffusion Tensor Tractography

Cited by 6 publications

References 19 publications

Usefulness of conventional magnetic resonance imaging, diffusion tensor imaging and neurite orientation dispersion and density imaging in evaluating postoperative function in patients with cervical spondylotic myelopathy

Usefulness of conventional magnetic resonance imaging, diffusion tensor imaging and neurite orientation dispersion and density imaging in evaluating postoperative function in patients with cervical spondylotic myelopathy

A New Human Anatomy Teaching Mode Combining Virtual Anatomy System and Dissection to Promote Active Learning and Improve Learning Efficiency.

Computer Methods for Automatic Locomotion and Gesture Tracking in Mice and Small Animals for Neuroscience Applications: A Survey

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