Cerebral Motor Functional Connectivity at the Acute Stage: An Outcome Predictor of Ischemic Stroke.
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ABSTRACT:
SUBMITTER: Chi NF
PROVIDER: S-EPMC6235876 | biostudies-literature | 2018 Nov
REPOSITORIES: biostudies-literature
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Cerebral Motor Functional Connectivity at the Acute Stage: An Outcome Predictor of Ischemic Stroke.
Chi Nai-Fang NF Ku Hsiao-Lun HL Chen David Yen-Ting DY Tseng Ying-Chi YC Chen Chi-Jen CJ Lin Ying-Chin YC Hsieh Yi-Chen YC Chan Lung L Chiou Hung-Yi HY Hsu Chung Y CY Hu Chaur-Jong CJ
Scientific reports 20181114 1
Sixty-seven patients with first acute ischemic stroke onset between 3 to 7 days and 25 age- and sex- matched controls were analyzed for the performance of a resting-state functional MRI to investigate whether the functional connectivity (FC) of the motor network in acute ischemic stroke is independently associated with functional outcomes. The FC of cortical motor network and default mode network was analyzed. The FC was compared between controls, patients with favorable outcomes (modified Ranki ...[more]
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Project description: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.
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Project description:BackgroundMiddle Cerebral Artery (MCA) territory strokes can be disabling and may leave patients unable to swallow safely. Decisions regarding artificial nutrition and goals of care often arise in patients with severe strokes leading to dysphagia. This study determined some predictors of early transition to palliative level of care among patients with acute ischemic MCA stroke with dysphagia.MethodsThis is a retrospective cohort study. Demographic and clinical data of patients presenting to Hartford Hospital with an acute ischemic stroke between January 2005-December 2010 were gathered utilizing the Stroke Center at Hartford Hospital Database. The 236 patients included were divided into "early transition" and "not transitioned" to palliative care cohorts. Primary outcome was transition to palliative care. Factors that were significantly associated with an early transition to palliative level of care in univariate analysis were then entered into a multivariate logistic regression analysis to identify potential independent predictors of early transition to palliative level of care. The significance level was set at p?<?0.05.Results79 patients (34%) were transitioned to palliative level of care after failing the first swallow evaluation within a median of 3 days. Factors predictive of an early transition to palliative level of care after multivariate logistic regression analysis included advancing age (p?<?0.001; OR: 1.10; 95% CI :1.056-1.155) , left MCA infarct (p?=?0.039; OR: 0.417; 95% CI:0.182-0.956), a high NIHSS score on admission (p?=?0.017; OR: 3.038; 95% CI: 1.22-7.555), administration of intra-arterial tPA (p?<?0.001; OR: 7.106; 955 CI 2.541-19.873) and the inability to be assessed on the 1(st) swallow evaluation (p?<?0.001; OR 0.053; 95% CI 0.022-0.131).ConclusionsThe severity of dysphagia influences early transition to palliative level of care in acute stroke patients. Independent predictors of an early transition to palliative level of care among patients with an acute MCA territory stroke and dysphagia included advancing age, a left MCA infarct, a high NIHSS score on admission, administration of intra-arterial tPA and the inability to be assessed on the 1(st) swallow evaluation. This information may guide discussions with families of patients with MCA territory strokes regarding artificial nutrition and goals of care.
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Project description:BackgroundPerinatal stroke is the most common cause of unilateral cerebral palsy. Mechanisms of post-stroke developmental plasticity in children are poorly understood. To better understand the relationship between functional connectivity and disability, we used resting-state fMRI to compare sensorimotor connectivity with clinical dysfunction.MethodsSchool-aged children with periventricular venous infarction (PVI) and unilateral cerebral palsy were compared to controls. Resting-state BOLD signal was acquired on 3 T MRI and analyzed using CONN in SPM12. Functional connectivity was computed between S1, M1, supplementary motor area (SMA), and thalamus of the left/non-lesioned and right/lesioned hemisphere. Primary outcome was connectivity expressed as a Fisher-transformed correlation coefficient. Motor function was measured using the Assisting Hand Assessment (AHA), and Melbourne Assessment (MA). Proprioceptive function was measured using a robotic position matching task (VarXY).ResultsParticipants included 15 PVI and 21 controls. AHA and MA in stroke patients were negatively correlated with connectivity (increased connectivity = poorer performance). Position sense was inversely correlated with connectivity (increased connectivity = improved performance) between the non-lesioned S1 and thalamus/SMA. In controls, VarXY was positively correlated with connectivity between the thalamus and bilateral sensorimotor regions.ConclusionsResting state fMRI measures of sensorimotor connectivity are associated with clinical sensorimotor function in children with unilateral cerebral palsy secondary to PVI. Greater insight into understanding reorganization of brain networks following perinatal stroke may facilitate personalized rehabilitation.
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