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健康大脑磁共振成像评估的脑血流自动调节的区域差异。

Regional differences in dynamic cerebral autoregulation in the healthy brain assessed by magnetic resonance imaging.

机构信息

Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom.

出版信息

PLoS One. 2013 Apr 30;8(4):e62588. doi: 10.1371/journal.pone.0062588. Print 2013.

DOI:10.1371/journal.pone.0062588
PMID:23638121
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3640083/
Abstract

A novel method is described for mapping dynamic cerebral blood flow autoregulation to assess autoregulatory efficiency throughout the brain, using magnetic resonance imaging (MRI). Global abnormalities in autoregulation occur in clinical conditions, including stroke and head injury, and are of prognostic significance. However, there is limited information about regional variations. A gradient-echo echo-planar pulse sequence was used to scan the brains of healthy subjects at a rate of 1 scan/second during a transient decrease in arterial blood pressure provoked by a sudden release of pressure in bilateral inflated thigh cuffs. The signal decrease and subsequent recovery were analyzed to provide an index of autoregulatory efficiency (MRARI). MRI time-series were successfully acquired and analyzed in eleven subjects. Autoregulatory efficiency was not uniform throughout the brain: white matter exhibited faster recovery than gray (MRARI = 0.702 vs. 0.672, p = 0.009) and the cerebral cortex exhibited faster recovery than the cerebellum (MRARI = 0.669 vs. 0.645, p = 0.016). However, there was no evidence for differences between different cortical regions. Differences in autoregulatory efficiency between white matter, gray matter and the cerebellum may be a result of differences in vessel density and vasodilation. The techniques described may have practical importance in detecting regional changes in autoregulation consequent to disease.

摘要

一种新的方法被描述为映射动态脑血流自动调节,以评估整个大脑的自动调节效率,使用磁共振成像(MRI)。在临床情况下,包括中风和头部损伤,会出现自动调节的全局异常,并且具有预后意义。然而,关于区域变化的信息有限。梯度回波回波平面脉冲序列用于在通过双侧充气大腿袖带突然释放压力引起的动脉血压短暂下降期间以 1 次/秒的速率扫描健康受试者的大脑。分析信号下降和随后的恢复,以提供自动调节效率的指标(MRARI)。在 11 名受试者中成功采集和分析了 MRI 时间序列。自动调节效率在大脑中并不均匀:与灰质相比,白质的恢复速度更快(MRARI = 0.702 与 0.672,p = 0.009),大脑皮层的恢复速度比小脑快(MRARI = 0.669 与 0.645,p = 0.016)。然而,没有证据表明不同皮质区域之间存在差异。白质、灰质和小脑之间自动调节效率的差异可能是血管密度和血管扩张差异的结果。描述的技术可能在检测疾病引起的自动调节的区域变化方面具有实际意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f616/3640083/3fbbdd093cf8/pone.0062588.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f616/3640083/47dc92371915/pone.0062588.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f616/3640083/22b5f3650d4b/pone.0062588.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f616/3640083/79710103a0a8/pone.0062588.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f616/3640083/3fbbdd093cf8/pone.0062588.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f616/3640083/47dc92371915/pone.0062588.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f616/3640083/22b5f3650d4b/pone.0062588.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f616/3640083/79710103a0a8/pone.0062588.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f616/3640083/3fbbdd093cf8/pone.0062588.g004.jpg

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