Understanding the mechanisms of atrophy associated with spinal cord injury: the application of MRI-based in vivo histology and ex vivo histology
Understanding the mechanisms of atrophy associated with spinal cord injury: the application of MRI-based in vivo histology and ex vivo histology
批准号:
MR/R000050/1
负责人:
Martina Callaghan
金额:
$23.61万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --
中文摘要
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英文摘要
Spinal cord injuries (SCI) are mainly caused by traumatic events such as violence and traffic and sports accidents. Paraplegia (paralysis of the legs) and tetraplegia (paralysis of both legs and arms) permanently, severely and dramatically reduce the quality of life of the affected person as well as their ability to remain a member of the workforce. These negative consequences arise because functional recovery following SCI remains limited and the majority of patients are left with severe impairments in the longer term. While rehabilitative training can improve clinical outcome following SCI, which is a major benefit to the patients' quality of life, the degenerative processes and the mechanisms underpinning any neurological and functional recovery are not well understood. Recent advances in the field of magnetic resonance imaging (MRI) have vastly improved how we can visualize and interrogate the structural organisation and functioning of the central nervous system. Notable among these advances is the emerging ability to investigate "microscopic" changes in the human central nervous system. This includes distinguishing white and grey matter - two fundamental divisions of structure in the spinal cord, brainstem and brain. Using microscopic MRI protocols we have shown that structural changes occur over time following a specific spatial and temporal pattern. In fact these changes occur early after the injury and happen both in the cord and in the brain. However so far, the range of biological changes that may underlie the observed changes cannot be disentangled. By means of in vivo histology using MRI (hMRI) - an emerging field in MRI - we aim to establish the missing link between measured MRI signals and changes in the underlying tissue microstructure, which will help us to explain and better understand the disease processes associated with spinal cord injury.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1016/j.media.2021.102149
发表时间:
2021-10
期刊:
Medical image analysis
影响因子:
10.9
作者:
[Balbastre Y, Brudfors M, Azzarito M, Lambert C, Callaghan MF, Ashburner J]
通讯作者:
Ashburner J
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part II
医学图像计算和计算机辅助干预 - MICCAI 2020 - 第 23 届国际会议,秘鲁利马,2020 年 10 月 4-8 日,会议记录,第二部分
DOI:
10.1007/978-3-030-59713-9_25
发表时间:
2020
期刊:
影响因子:
--
作者:
[Uthoff J]
通讯作者:
Uthoff J
Model-based multi-parameter mapping
基于模型的多参数映射
DOI:
10.5167/uzh-207240
发表时间:
2021
期刊:
影响因子:
--
作者:
[Balbastre, Yaël]
通讯作者:
Balbastre, Yaël
A cognitive-computational model of avoidance learning
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批准号:ES/W000776/1
-
项目类别:Research Grant
-
资助金额:$104.03万
-
财政年份:2022
-
负责人:Martina Callaghan
-
依托单位:
国内基金
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