ASL MRI informs blood flow to chronic stroke lesions in patients with aphasia.
ASL MRI informs blood flow to chronic stroke lesions in patients with aphasia.
复制标题
DOI：
10.3389/fphys.2023.1240992
复制
发表时间：
2023
影响因子：
4
通讯作者：
中科院分区：
文献类型：
--
作者：
对脑卒中后失语症语言康复的反应很难预测，主要是因为很少有预测因素可以帮助确定最佳的、个性化的治疗方案。成像技术，如基于体素的病变症状映射在将特定大脑区域与语言行为联系起来方面很有用；然而，需要进一步发展优化结构和生理信息的使用，以指导失语症患者（PWA）的个性化治疗。在这项研究中，我们将确定慢性卒中患者的脑血流量（CBF）是否可以进一步用于了解卒中相关因素和行为。方法：我们使用伪连续动脉自旋标记（pCASL）收集了14例慢性PWA患者的灌注MRI数据，使用单次标记后延迟2200 ms，并使用高分辨率结构MRI通过T2w T1w Ratio （TIGR）计算组织损伤图。为了量化慢性脑卒中病变的脑血流，我们测试了在ASL分析管道中应该在什么点上应用空间平滑。然后，我们将CBF与组织损伤、中风后时间、年龄、性别及其各自的交叉项联系起来，以进一步了解病变CBF的变异性。最后，我们评估了使用CBF计算多变量脑行为图的可行性，并将其与TIGR MRI提取的脑行为图进行了比较。结果：我们发现慢性脑卒中病变的CBF与其同源灰质和白质区域相比显着减少。然而，检测到可靠的脑血流信号（尽管小于预期），揭示了脑血流与组织损伤增加之间的负相关关系。此外，病变CBF与年龄、性别、中风后时间、组织损伤和交叉项之间的关系表明，衰老与疾病之间存在相互作用。当在模板空间中应用平滑时，这种关系最强。最后，我们发现全脑CBF与PWA的域一般视觉空间功能有关。基于脑血流的脑行为图为结构（基于病变的）脑行为图提供了独特和互补的信息。讨论：因此，CBF可以通过标准的pCASL MRI采集在慢性卒中病变中检测到，并且由于其与人口统计学因素、卒中相关因素和行为的关系，在全脑水平上可以识别PWAs的卒中康复目标。
Introduction: Response to post-stroke aphasia language rehabilitation is difficult to anticipate, mainly because few predictors can help identify optimal, individualized treatment options. Imaging techniques, such as Voxel-based Lesion Symptom Mapping have been useful in linking specific brain areas to language behavior; however, further development is required to optimize the use of structural and physiological information in guiding individualized treatment for persons with aphasia (PWA). In this study, we will determine if cerebral blood flow (CBF) mapped in patients with chronic strokes can be further used to understand stroke-related factors and behavior. Methods: We collected perfusion MRI data using pseudo-Continuous Arterial Spin Labeling (pCASL) using a single post-labeling delay of 2,200 ms in 14 chronic PWA, along with high-resolution structural MRI to compute maps of tissue damage using Tissue Integrity Gradation via T2w T1w Ratio (TIGR). To quantify the CBF in chronic stroke lesions, we tested at what point spatial smoothing should be applied in the ASL analysis pipeline. We then related CBF to tissue damage, time since stroke, age, sex, and their respective cross-terms to further understand the variability in lesion CBF. Finally, we assessed the feasibility of computing multivariate brain-behavior maps using CBF and compared them to brain-behavior maps extracted with TIGR MRI. Results: We found that the CBF in chronic stroke lesions is significantly reduced compared to its homologue grey and white matter regions. However, a reliable CBF signal (although smaller than expected) was detected to reveal a negative relationship between CBF and increasing tissue damage. Further, the relationship between the lesion CBF and age, sex, time since stroke, and tissue damage and cross-terms suggested an aging-by-disease interaction. This relationship was strongest when smoothing was applied in the template space. Finally, we show that whole-brain CBF relates to domain-general visuospatial functioning in PWA. The CBF-based brain-behavior maps provide unique and complementary information to structural (lesion-based) brain-behavior maps. Discussion: Therefore, CBF can be detected in chronic stroke lesions using a standard pCASL MRI acquisition and is informative at the whole-brain level in identifying stroke rehabilitation targets in PWAs due to its relationship with demographic factors, stroke-related factors, and behavior.
登录
查看更多内容
影响因子：
4.2
作者：
Blicher JU;Near J;Næss-Schmidt E;Stagg CJ;Johansen-Berg H;Nielsen JF;Østergaard L;Ho YC
通讯作者：
Ho YC
DOI：
10.1523/jneurosci.2180-11.2011
发表时间：
2011-08-10
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Glasser MF;Van Essen DC
通讯作者：
Van Essen DC
影响因子：
4.6
作者：
Krishnamurthy LC;Champion GN;McGregor KM;Krishnamurthy V;Turabi A;Roberts SR;Nocera JR;Borich MR;Rodriguez AD;Belagaje SR;Harrington RM;Harris-Love ML;Harnish SM;Drucker JH;Benjamin M;Meadows ML;Seeds L;Zlatar ZZ;Sudhyadhom A;Butler AJ;Garcia A;Patten C;Trinastic J;Kautz SA;Gregory C;Crosson BA
通讯作者：
Crosson BA
DOI：
10.1523/jneurosci.2227-10.2010
发表时间：
2010-09-01
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Fridriksson J
通讯作者：
Fridriksson J
影响因子：
16.2
作者：
Burda JE;Sofroniew MV
通讯作者：
Sofroniew MV