Abnormal dynamic functional connectivity is linked to recovery after acute ischemic stroke.
Abnormal dynamic functional connectivity is linked to recovery after acute ischemic stroke.
复制标题
DOI：
10.1002/hbm.25366
复制
发表时间：
2021-05
影响因子：
4.8
通讯作者：
Rost NS
中科院分区：
文献类型：
--
作者：
Bonkhoff AK;Schirmer MD;Bretzner M;Etherton M;Donahue K;Tuozzo C;Nardin M;Giese AK;Wu O;D Calhoun V;Grefkes C;Rost NS
本研究的目的是探索急性缺血性卒中（AIS）患者的全脑动态功能连接模式及其与短期和长期卒中严重程度的关系。我们研究了41名AIS患者在症状出现后两到五天的静息状态基于功能性MRI的动态功能连接。使用滑动窗口方法和k均值聚类获得了重复出现的动态连接配置。我们评价了3个NIHSS卒中严重程度定义组（轻度、中度和重度受累患者）之间的动态模式差异。此外，我们建立贝叶斯分层模型来评估动态连接的预测能力，并检查与临床指标的相互关系，如白色高信号病变。最后，我们建立了动态连接与AIS严重程度以及90天神经功能恢复（ΔNIHSS）之间的相关性分析。我们确定了三种不同的动态连接配置急性中风后。受影响更严重的患者在以功能性脑域的特别强的连接性和孤立处理为特征的配置中花费了显著更多的时间（三级ANOVA：p <0.05，事后t检验：p <0.05，FDR校正）。除了临床指标外，配置特定时间估计值还具有卒中严重程度的预测能力。根据NIHSS随时间的实际变化，恢复与双侧顶内小叶和左侧角回之间的动态连接显著相关（Pearson r = −.68，p = .003，FDR校正）。我们的研究结果表明，在严重AIS的情况下，多个功能域的孤立信息处理短暂增加。涉及默认模式网络组件的动态连接与卒中后前3个月的恢复显著相关。通过采用动态功能连接分析，Bonkhoff等人证明，严重急性缺血性卒中与多个功能域中短暂增加的孤立信息处理有关。此外，他们表明，涉及默认模式网络组件的动态连接与中风后前三个月的恢复显著相关。
The aim of the current study was to explore the whole‐brain dynamic functional connectivity patterns in acute ischemic stroke (AIS) patients and their relation to short and long‐term stroke severity. We investigated resting‐state functional MRI‐based dynamic functional connectivity of 41 AIS patients two to five days after symptom onset. Re‐occurring dynamic connectivity configurations were obtained using a sliding window approach and k‐means clustering. We evaluated differences in dynamic patterns between three NIHSS‐stroke severity defined groups (mildly, moderately, and severely affected patients). Furthermore, we built Bayesian hierarchical models to evaluate the predictive capacity of dynamic connectivity and examine the interrelation with clinical measures, such as white matter hyperintensity lesions. Finally, we established correlation analyses between dynamic connectivity and AIS severity as well as 90‐day neurological recovery (ΔNIHSS). We identified three distinct dynamic connectivity configurations acutely post‐stroke. More severely affected patients spent significantly more time in a configuration that was characterized by particularly strong connectivity and isolated processing of functional brain domains (three‐level ANOVA: p < .05, post hoc t tests: p < .05, FDR‐corrected). Configuration‐specific time estimates possessed predictive capacity of stroke severity in addition to the one of clinical measures. Recovery, as indexed by the realized change of the NIHSS over time, was significantly linked to the dynamic connectivity between bilateral intraparietal lobule and left angular gyrus (Pearson's r = −.68, p = .003, FDR‐corrected). Our findings demonstrate transiently increased isolated information processing in multiple functional domains in case of severe AIS. Dynamic connectivity involving default mode network components significantly correlated with recovery in the first 3 months poststroke. By employing dynamic functional connectivity analyses, Bonkhoff et al. demonstrate that severe acute ischemic stroke is linked to transiently increased isolated information processing in multiple functional domains. Additionally, they show that dynamic connectivity involving default mode network components significantly correlates with recovery in the first three months poststroke.
登录
查看更多内容
影响因子：
16.2
作者：
Corbetta M;Ramsey L;Callejas A;Baldassarre A;Hacker CD;Siegel JS;Astafiev SV;Rengachary J;Zinn K;Lang CE;Connor LT;Fucetola R;Strube M;Carter AR;Shulman GL
通讯作者：
Shulman GL
影响因子：
158.5
作者：
Feigin, Valery L.;Nguyen, Grant;Roth, Gregory A.
通讯作者：
Roth, Gregory A.
影响因子：
4.2
作者：
Fu, Zening;Iraji, Armin;Calhoun, Vince D.
通讯作者：
Calhoun, Vince D.
影响因子：
3.7
作者：
Allen, Elena A.;Damaraju, Eswar;Calhoun, Vince D.
通讯作者：
Calhoun, Vince D.
用于 fMRI 数据分析的群体信息引导 ICA
影响因子：
5.7
作者：
Du, Yuhui;Fan, Yong
通讯作者：
Fan, Yong