Changes in functional connectivity of motor zones in the course of treatment with a regent multimodal complex exoskeleton in neurorehabilitation of post-stroke patients

2016 ◽  
Vol 42 (1) ◽  
pp. 54-60
Author(s):  
I. V. Saenko ◽  
S. N. Morozova ◽  
E. A. Zmeykina ◽  
R. N. Konovalov ◽  
A. V. Chervyakov ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Stroke Patients ◽  
Post Stroke

Abstract W P29: Tissue Plasminogen Activator Mediated Reperfusion, and Subsequent Improvement in Resting State Connectivity Correlates with Functional Outcome in Acute Ischemic Stroke Patients

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Souvik Sen ◽  
Johann Fridriksson ◽  
Taylor Hanayik ◽  
Christopher Rorden ◽  
Isabel Hubbard ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Functional Connectivity ◽  
Functional Outcome ◽  
Resting State ◽  
Network Connectivity ◽  
Stroke Patients ◽  
Post Stroke ◽  
Resting State Network ◽  
Tissue Plasminogen

Background: Intravenous Tissue Plasminogen Activator (TPA) is the only FDA approved medical therapy for acute ischemic stroke (AIS). Prior study suggests that early recanalization is associated with better stroke outcome. Our aim was to correlate task-negative and task-positive (TN/TP) resting state network activity with tissue perfusion and functional outcome, in stroke patients who received TPA. Method: AIS patients were consented and underwent NIH stroke scale (NIHSS) assessment and magnetic resonance imaging (MRI) scans during TPA infusion (baseline) and six hours post stroke. The MRI sequences include contrast-enhanced perfusion weighted image (PWI) and resting state Blood Oxygen Level-Dependent or BOLD (RSB) images acquired using a Siemens Treo 3T MRI scanner. Additionally, the RSB scan and the NIHSS were obtained at a 30-day follow up visit. Results: Fourteen patients (mean age ± SD=63 ±14, 50% male, 50% white, 43% black and 7% others) who qualified for TPA completed the study at baseline and 6 hours post stroke. Of these, 6 patients had valid follow up data at 30 days. Three patients without cerebral ischemia were excluded. A paired samples t-test comparing baseline and 6h post stroke showed a significantly improved TP network t(10)= -4.24 p< 0.05. The resting network connectivity improved from 6 hours post stroke to 30-days follow up, t(5)= -5.35 p< 0.01. Similarly, NIHSS, at 6h post stroke t(10)= 3.62 p< 0.01 and at 30-days follow up t(5)= -3.4 p< 0.01 were significantly better than the NIHSS at baseline. The 6-hours post-stroke perfusion correlated with the resting network connectivity in both the damaged (r=-0.56 p= 0.07) and intact hemispheres (r= -0.57 p= 0.06). Differences in functional connectivity and NIHSS scores from baseline to 6 h were positively correlated (r= 0.56 p=0.07). Conclusion: In this pilot study we found that TPA led to changes in MRI based resting state networks and associated functional outcome. Correlations were found between perfusion, functional connectivity and NIHSS. This suggests that the improvement of resting state network means improved efficiency of brain activity indicated by functional outcome and may be a potential predictive MRI biomarker for TPA response. A larger study is needed to verify this finding.

scholarly journals The Distinct Disrupted Plasticity in Structural and Functional Network in Mild Stroke With Basal Ganglia Region Infarcts

2021 ◽  
Author(s):  
Hua Zhu ◽  
Lijun Zuo ◽  
Wanlin Zhu ◽  
Jing Jing ◽  
Zhe Zhang ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Basal Ganglia ◽  
Functional Connectivity ◽  
Network Analysis ◽  
Structural Connectivity ◽  
Functional Network ◽  
Imaging Biomarkers ◽  
Functional Networks ◽  
Stroke Patients ◽  
Post Stroke

Abstract ObjectiveTo characterize brain structural and functional networks in post-stroke patients with or without cognitive impairment. MethodsGraph theory analysis was applied to diffusion-weighted imaging (DWI) data and resting-state functional MRI (fMRI) data from 23 post-stroke patients with cognitive impairment (PSCI), 17 post-stroke patients without cognitive impairment (NPSCI), and 29 healthy controls (HC). Structural and functional connectivity between 90 cortical and subcortical brain regions was estimated and thresholded to construct a set of undirected graphs. Network-based statistics (NBS) was used to characterize altered connectivity patterns among the three groups. ResultsCompared to HC, the PSCI group demonstrated substantial reductions in all three types of connections - rich club, feeder, and local - in structural and functional networks. Specifically, in structural network analysis, reduced connections were observed within basal ganglia and basal ganglia-frontal networks, whereas in the functional network analysis, reduced connections were observed in fronto-parietal network (FPN) and cingulo-opercular networks (CON). Meanwhile, compared to HC, the NPSCI group demonstrated reductions in both feeder and local connections only within occipital area and occipital-temporal structural networks. ConclusionsThe findings of reduced structural connectivity in regions stemming from a basal ganglia core and reduced functional connectivity in FPN and CON may indicate a bottom-up cognitive impairment induced by stroke. Graph analysis and connectomics may aid clinical diagnosis and serve as potential imaging biomarkers for post-stroke patients with cognitive impairment.

scholarly journals The effects of hemodynamic lag on functional connectivity and behavior after stroke

2016 ◽  
Vol 36 (12) ◽  
pp. 2162-2176 ◽  
Author(s):  
Joshua S Siegel ◽  
Abraham Z Snyder ◽  
Lenny Ramsey ◽  
Gordon L Shulman ◽  
Maurizio Corbetta
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Clinical Importance ◽  
Resting State Fmri ◽  
Vascular Supply ◽  
Stroke Patients ◽  
Performance Deficits ◽  
Post Stroke ◽  
Attention Systems ◽  
Multiple Domains

Stroke disrupts the brain’s vascular supply, not only within but also outside areas of infarction. We investigated temporal delays (lag) in resting state functional magnetic resonance imaging signals in 130 stroke patients scanned two weeks, three months and 12 months post stroke onset. Thirty controls were scanned twice at an interval of three months. Hemodynamic lag was determined using cross-correlation with the global gray matter signal. Behavioral performance in multiple domains was assessed in all patients. Regional cerebral blood flow and carotid patency were assessed in subsets of the cohort using arterial spin labeling and carotid Doppler ultrasonography. Significant hemodynamic lag was observed in 30% of stroke patients sub-acutely. Approximately 10% of patients showed lag at one-year post-stroke. Hemodynamic lag corresponded to gross aberrancy in functional connectivity measures, performance deficits in multiple domains and local and global perfusion deficits. Correcting for lag partially normalized abnormalities in measured functional connectivity. Yet post-stroke FC–behavior relationships in the motor and attention systems persisted even after hemodynamic delays were corrected. Resting state fMRI can reliably identify areas of hemodynamic delay following stroke. Our data reveal that hemodynamic delay is common sub-acutely, alters functional connectivity, and may be of clinical importance.

KUALITAS HIDUP PASIEN STROKE DI POLIKLINIK RAWAT JALAN RUMAH SAKIT SWASTA YOGYAKARTA

2019 ◽  
Vol 7 (3) ◽  
pp. 232-237
Author(s):  
Hana Larasati ◽  
Theresia Titin Marlina
Keyword(s):  
Quality Of Life ◽  
Social Relations ◽  
Hemorrhagic Stroke ◽  
Poor Quality ◽  
Social Dimension ◽  
Stroke Patients ◽  
Sampling System ◽  
Post Stroke ◽  
Psychological Dimension

Background: stroke is a disorder of nervous system function that occurs suddenly and is caused by brain bleeding disorders that can affect the quality of life physical dimensions, social dimensions, psychological dimensions, environmental dimensions. Based on the result of Lumbu study (2015) the number of samples were 71 people collected data using the (WHOQOL-BREF). There were 56 people (78,9%) had the poor quality of life of post stroke. The mean of post-stroke quality of life domain was physical domain (45,27%), psychological domain (49,87%), social relations domain (48,15%) and environmental domain (50.01%). Objective: the purpose of the study was know the quality of life of the stroke patients in Outpatient Polyclinic of Private Hospital in Yogyakarta. Methods: used descriptive quantitative by using questionnaire test of purposive sampling system based on patients who have been affected of ischemic or hemorrhagic stroke before, number 30 respondents. Result: quality of life of stroke patient of medium physical dimension (67%), psychological dimension (71%), social dimension (67%), dimension good environment (63%). Conclusion: the quality of life of stroke patients of physical dimension, psychological dimension, and moderate social dimension, while the quality of life of stroke patients were good environmental dimension.   Keywords: Hemorrhagic stroke, ischemic stroke, quality of life

Sign in / Sign up

Export Citation Format

Share Document