scholarly journals Abnormal EEG Complexity and Functional Connectivity of Brain in Patients with Acute Thalamic Ischemic Stroke

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Shuang Liu ◽  
Jie Guo ◽  
Jiayuan Meng ◽  
Zhijun Wang ◽  
Yang Yao ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Functional Connectivity ◽  
Healthy Subjects ◽  
Brain Network ◽  
Control Group ◽  
Stroke Patients ◽  
Cerebral Disease ◽  
Essential Information ◽  
Stroke Group ◽  
The Brain

Ischemic thalamus stroke has become a serious cardiovascular and cerebral disease in recent years. To date the existing researches mostly concentrated on the power spectral density (PSD) in several frequency bands. In this paper, we investigated the nonlinear features of EEG and brain functional connectivity in patients with acute thalamic ischemic stroke and healthy subjects. Electroencephalography (EEG) in resting condition with eyes closed was recorded for 12 stroke patients and 11 healthy subjects as control group. Lempel-Ziv complexity (LZC), Sample Entropy (SampEn), and brain network using partial directed coherence (PDC) were calculated for feature extraction. Results showed that patients had increased mean LZC and SampEn than the controls, which implied the stroke group has higher EEG complexity. For the brain network, the stroke group displayed a trend of weaker cortical connectivity, which suggests a functional impairment of information transmission in cortical connections in stroke patients. These findings suggest that nonlinear analysis and brain network could provide essential information for better understanding the brain dysfunction in the stroke and assisting monitoring or prognostication of stroke evolution.

scholarly journals Multiparameter Biosignal Analysis in Elderly Ischemic Stroke Patients

2021 ◽  
Vol 1 (1) ◽  
pp. 7-16
Author(s):  
Muhammad Zakariyah ◽  
Alvin Sahroni ◽  
Erlina Marfianti
Keyword(s):  
Ischemic Stroke ◽  
Control Group ◽  
P Value ◽  
Stroke Patients ◽  
Physiological Conditions ◽  
Biosignal Analysis ◽  
Nervous System Activity ◽  
Stroke Group ◽  
The Relationship ◽  
The Brain

Biosignal can provide information about body conditions, including physiological conditions of ischemic stroke. The regulation of blood in the brain is regulated through the mechanism of Cerebral Autoregulation (CA). Some parameters that can be used to determine this mechanism are Blood Flow Velocity (BFV) and Blood Pressure (BP). Stroke is also related to nervous system activity, which is represented through the Heart Rate Variability (HRV). This study aims to determine the relationship between those biosignals and their effects on the physiology of ischemic stroke sufferers. The subjects were divided into two groups (20 strokes and 20 controls). BFV data is obtained in the Middle Cerebral Artery (MCA), BP is obtained through the arteries of the upper arms, and 3 leads electrocardiogram is placed in the chest. The results showed that there was a relationship between BP and BFV in the control group (p-value < 0.05; r = -0.574). This correlation was not found in the stroke group. The relationship between BP and HRV was only found in the stroke group, which was associated with high sympathetic activity and lower parasympathetic activity (p-values < 0.05 and r > 0.4). It was based on SDRR, RMSSD, CVRR, LF, and SD1 parameters. In the control group, there was no relationship between HRV and BP. The relationship between BFV and HRV in the control group was not found statistically. Still, in the stroke group, this relationship was found in the LF and LF/HF Ratio parameters (p-value < 0.05; r > 0.4). Based on this research, parameters on HRV that can be used to determine the characteristics of stroke patients in all positions are MeanRR, VLF, and LF

The effect of additional protein, phosphatidylcholine, phosphatidylserine, and inulin on S100β levels of acute ischemic stroke patients at Dr. Kariadi Central Hospital, Semarang

2021 ◽  
Vol 9 (2) ◽  
pp. 172-183
Author(s):  
Stephani Nesya Renamastika ◽  
Endang Mahati ◽  
Martha Kartasurya ◽  
Dodik Pramukarso ◽  
Dwi Pudjonarko ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
G Protein ◽  
Intervention Group ◽  
Nerve Cells ◽  
Control Group ◽  
Stroke Patients ◽  
Formula Milk ◽  
Blood Brain ◽  
Additional Protein ◽  
The Brain

Background: The brain releases biochemical substrates, such as S100β protein, into circulation in response to ischemic conditions as a sign of damage in nerve cells and disruption of the blood-brain barrier’s integrity. Thrombolytic therapy has led to the development of many neuroprotective therapies such as protein, phosphatidylcholine, phosphatidylserine, and inulin, which can be added to food products. Protein, phospholipids, and inulin, have a neuroprotective impact on nerve cells in the brain and blood-brain barrier.Objective: To prove the effect of protein, phosphatidylcholine, phosphatidylserine, and inulin on S100β levels and clinical outcomes in patients with acute ischemic stroke.Materials and Methods: This study was done in a single-blind RCT. Eighteen ischemic stroke patients were randomly divided into nine subjects for the intervention group and nine subjects for the control group. The Control group received 250 ml conventional formula milk (11.8 g protein) 3 times/day. The intervention group received 250 mL commercial milk 3 rimes/day which contained 15 g protein with 128 mg phosphatidylcholine, 32 mg phosphatidylserine, and 3 g inulin. All of the groups were given hospital-standard therapy for ischemic stroke. S100β levels were measured at pre and post-intervention.Results: Pre and post S100β levels in intervention and the control group did not show any statistically difference (p = 0.777 and p = 0.096), but there was a trend of decreasing  levels of S100β in the intervention group (-24.6 + 252.0 pg/mL) versus control group (135.8 + 216.2 pg/mL).Conclusions: The addition of protein, phosphatidylcholine, phosphatidylserine, and inulin did not have a significant effect on S100β levels.

scholarly journals Peningkatan Kadar Lipoprotein-Associated Phospholipase A2 Meningkatkan Kejadian Stroke Iskemik Akut

2020 ◽  
Vol 3 (1) ◽  
pp. 09-13
Author(s):  
Syarif Indra
Keyword(s):  
Ischemic Stroke ◽  
Serum Levels ◽  
High Serum ◽  
Control Group ◽  
P Value ◽  
Stroke Patients ◽  
Cross Sectional ◽  
Major Health Problem ◽  
The World ◽  
Stroke Group

Introduction: Stroke is a major health problem in the world, and associated with mortality, disability, and economic burden. Stroke is the second leading cause of death in the world after heart disease and cause of disability in adults. Several recent studies show that levels of Lp-PLA2 contribute to high serum lead to ischemic stroke, whereas some others do not get the association. Aims: studies an association between serum Lp-PLA2 with incident ischemic stroke. Method: This study is a descriptive analytic comparative with cross sectional design in the Neurology ward RS. DR. M. Djamil Padang between October 2013 to April 2014 with total of 88 subjects consisting of 44 subjects ischemic stroke patients and 44 healthy control group who participated in the study. Statistical analysis is used parametric test with unpaired t test, test for normality with the Kolmogorov-Smirnov test, and logistic regression analysis. Result: P value 0.05 was considered statistically significant. The mean age of subjects in the group of ischemic stroke patients was 57.30 ±8.86 years old. Female in patients with ischemic stroke group was 23 people (52,3%). Mean levels of Lp-PLA2 serum in patiens with ischemic stroke group was 103.49±48.00 ng/mL. A significan association between serum levels of Lp-PLA2 with incident ischemic stroke with p<0.05. Conclusion: There was a significant relation in elevation of serum Lp-PLA2 levels with incident of ischemic stroke.

scholarly journals Electroencephalography-based functional brain network analysis according to lesion location and motor function in stroke patients

2020 ◽  
Author(s):  
Da-Hye Kim ◽  
Gyu Hyun Kwon ◽  
Wanjoo Park ◽  
Yun-Hee Kim ◽  
Seong-Whan Lee ◽  
...  
Keyword(s):  
Brain Networks ◽  
Brain Network ◽  
Control Group ◽  
Stroke Patients ◽  
Functional Brain ◽  
Lesion Location ◽  
Functional Brain Network ◽  
Functional Brain Networks ◽  
Stroke Lesion ◽  
The Brain

Abstract Background. While numerous studies have investigated changes in brain activation after stroke, limited information exists on the association between functional brain networks and lesion location in stroke patients. Methods. We compared the characteristics of brain networks among patients with cortico-subcortical lesions (n = 5), subcortical lesions (n = 7), and age-matched healthy controls (n = 12) during the execution of hand movements. Functional brain networks were analyzed based on network parameters in beta frequency electroencephalography (EEG) bands. Results. Our results indicated that while the healthy control group had appropriate compensatory patterns on the brain network with an aging effect, the two stroke lesion groups exhibited different hyper-connected characteristics in the brain network within the sensorimotor regions, particularly the contralesional M1, during motor execution. In addition, the betweenness centrality on the contralesional motor area was identified as a promising biomarker for motor functional ability associated with stroke. Our findings further allowed us to identify the characteristics of the stroke lesion that could not be found with EEG power by using the EEG brain network on the cerebral cortex. Conclusions. We anticipate that our study will improve the understanding of the complex changes that occur in the brain network as a result of stroke, and support the development of more effective and efficient rehabilitation programs based on lesion location for stroke patients.

scholarly journals Quantitative Evaluation of Task-Induced Neurological Outcome after Stroke

2021 ◽  
Vol 11 (7) ◽  
pp. 900
Author(s):  
Iqram Hussain ◽  
Se-Jin Park
Keyword(s):  
Ischemic Stroke ◽  
Neurological Outcome ◽  
Healthy Adults ◽  
Stroke Recovery ◽  
Control Group ◽  
Stroke Patients ◽  
Stroke Treatment ◽  
Post Stroke ◽  
Continuous Eeg ◽  
Stroke Group

Electroencephalography (EEG) can access ischemic stroke-derived cortical impairment and is believed to be a prospective predictive method for acute stroke prognostics, neurological outcome, and post-stroke rehabilitation management. This study aims to quantify EEG features to understand task-induced neurological declines due to stroke and evaluate the biomarkers to distinguish the ischemic stroke group and the healthy adult group. We investigated forty-eight stroke patients (average age 72.2 years, 62% male) admitted to the rehabilitation center and seventy-five healthy adults (average age 77 years, 31% male) with no history of known neurological diseases. EEG was recorded through frontal, central, temporal, and occipital cortical electrodes (Fz, C1, C2, T7, T8, Oz) using wireless EEG devices and a newly developed data acquisition platform within three months after the appearance of symptoms of ischemic stroke (clinically confirmed). Continuous EEG data were recorded during the consecutive resting, motor (walking and working activities), and cognitive reading tasks. The statistical results showed that alpha, theta, and delta activities are biomarkers classifying the stroke patients and the healthy adults in the motor and cognitive states. DAR and DTR of the stroke group differed significantly from those of the healthy control group during the resting, motor, and cognitive tasks. Using the machine-learning approach, the C5.0 model showed 78% accuracy for the resting state, 89% accuracy in the functional motor walking condition, 84% accuracy in the working condition, and 85% accuracy in the cognitive reading state for classification the stroke group and the control group. This study is expected to be helpful for post-stroke treatment and post-stroke recovery.

Risk Factors of Recurrent Ischemic Events after Acute Noncardiogenic Ischemic Stroke

2020 ◽  
Vol 25 (45) ◽  
pp. 4827-4834 ◽  
Author(s):  
Limin Zhang ◽  
Xingang Li ◽  
Dongzhi Wang ◽  
Hong Lv ◽  
Xuezhong Si ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Operating Characteristic ◽  
Control Group ◽  
Case Group ◽  
Stroke Patients ◽  
Clopidogrel Therapy ◽  
Ischemic Events

Background: A considerable proportion of acute noncardiogenic ischemic stroke patients continue to experience recurrent ischemic events after standard therapy. Aim: We aimed to identify risk factors for recurrent ischemic event prediction at an early stage. Methods : 286 non-cardioembolic ischemic stroke patients with the onset of symptoms within 24 hours were enrolled. Vascular risk factors, routine laboratory data on admission, thromboelastography test seven days after clopidogrel therapy and any recurrent events within one year were assessed. Patients were divided into case group (patients with clinical adverse events, including ischemic stokes, transient ischemic attack, myocardial infarction and vascular related mortality) and control group (events-free patients). The risk of the recurrent ischemic events was determined by the receiver operating characteristic curve and multivariable logistic regression analysis. Results: Clinical adverse events were observed in 43 patients (case group). The mean levels of Mean Platelet Volume (MPV), Platelet/Lymphocyte Ratio (PLR), Lymphocyte Count (LY) and Fibrinogen (Fib) on admission were significantly higher in the case group as compared to the control group (P<0.001). Seven days after clopidogrel therapy, the ADP-induced platelet inhibition rate (ADP%) level was lower in the case group, while the Maximum Amplitude (MA) level was higher in the case group as compared to the control group (P<0.01). The Area Under the Curve (AUC) of receiver operating characteristic(ROC) curve of LY, PLR, , Fib, MA, ADP% and MPV were 0.602, 0.614, 0.629, 0.770, 0.800 and 0.808, respectively. The logistic regression analysis showed that MPV, ADP% and MA were indeed predictive factors. Conclusion: MPV, ADP% and MA were risk factors of recurrent ischemic events after acute noncardiogenic ischemic stroke. Urgent assessment and individual drug therapy should be offered to these patients as soon as possible.

scholarly journals The brain network reflecting bodily self-consciousness: a functional connectivity study

2014 ◽  
Vol 9 (12) ◽  
pp. 1904-1913 ◽  
Author(s):  
Silvio Ionta ◽  
Roberto Martuzzi ◽  
Roy Salomon ◽  
Olaf Blanke
Keyword(s):  
Functional Connectivity ◽  
Brain Network ◽  
The Brain

Protective effect of Saccharomyces cerevisiae in Rattus norvegicus Ischemic Stroke Model

2021 ◽  
pp. 5785-5789
Author(s):  
Dedy Budi Kurniawan ◽  
Mokhamad Fahmi Rizki Syaban ◽  
Arinal Mufidah ◽  
Muhammad Unzila Rafsi Zulfikri ◽  
Wibi Riawan
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Ischemic Stroke ◽  
Brain Tissue ◽  
Tissue Injury ◽  
Intervention Group ◽  
Positive Control ◽  
Positive Control Group ◽  
Control Group ◽  
Hematopoietic Stem ◽  
The Brain

Stroke is one of the leading causes of morbidity and mortality in all ages. Ischemic stroke activates excitotoxic glutamate cascade leading to brain tissue injury. Saccharomyces cerevisiae is a unicellular yeast widely found in nature. S. cerevisiae is neuroprotective and able to increase the differentiation of hematopoietic stem cells (HSCs) into neuronal cells. it may increase levels of neuroprotectant BDNF in the brain tissue, therefore increase the protection of neurons. BDNF may prevent glutamate-driven excitotoxicity by reducing glutamate levels. This study uses a randomized post-test only controlled group design. In this in vivo study, rodent models of ischemic stroke were divided into five groups comprising of the negative control group, positive control group, intervention group 1 (18mg/kgBW), intervention group 2 (36mg/kgBW) and intervention group 3 (72 mg/kgBW). Groups treated with Saccharomyces cerevisiae extract showed significantly increased BDNF levels in the brain tissue, and the expression of the glutamate level was significantly reduced (P <0.05) compared to the positive control group. Thus Saccharomyces cerevisiae has a promising potential to become a therapy against ischemic stroke disease. however further research is needed regarding the efficacy and toxicity of Saccharomyces cerevisiae.

Abstract TP274: Orosomucoid-1 Protein Increases Following Ischemic Stroke in the Brain and Periphery

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Hetal Mistry ◽  
Madeline Levy ◽  
Meaghan Roy-O'Reilly ◽  
Louise McCullough
Keyword(s):  
Sex Differences ◽  
Ischemic Stroke ◽  
Rna Sequencing ◽  
Multiple Testing ◽  
Enzyme Linked Immunosorbent Assay ◽  
Mrna Levels ◽  
Stroke Patients ◽  
Post Stroke ◽  
Protein Levels ◽  
The Brain

Background and Purpose: Orosomucoid-1 (ORM-1) is an abundant protein with important roles in inflammation and immunosuppression. We utilized RNA sequencing to measure mRNA levels in human ischemic stroke patients, with confirmation by serum ORM-1 protein measurements. A mouse model of ischemic stroke was then used to examine post-stroke changes in ORM-1 within the brain itself. Hypothesis: We tested the hypothesis that ORM-1 levels increase following ischemic stroke, with sex differences in protein dynamics over time. Methods: RNA sequencing was performed on whole blood from ischemic stroke patients (n=23) and controls (n=12), with Benjamini-Hochberg correction for multiple testing. Enzyme-linked immunosorbent assay was performed on serum from ischemic stroke patients (n=28) and controls (n=8), with analysis by T-test. For brain analysis, mice (n=14) were subjected to a 90-minute middle cerebral artery occlusion (MCAO) surgery and sacrificed 6 or 24 hours after stroke. Control mice underwent parallel “sham” surgery without occlusion. Western blotting was used to detect ORM-1 protein levels in whole brain, with analysis by two-way ANOVA. Results: RNA sequencing showed a 2.8-fold increase in human ORM-1 at 24 hours post-stroke (q=.0029), an increase also seen in serum ORM-1 protein levels (p=.011). Western blot analysis of mouse brain revealed that glycosylated (p=0.0003) and naive (p=0.0333) forms of ORM-1 were higher in female mice compared to males 6 hours post-stroke. Interestingly, ORM-1 levels were higher in the brains of stroke mice at 6 hours (p=.0483), while at 24 hours ORM-1 levels in stroke mice were lower than their sham counterparts (p=.0212). In both human and mouse data, no sex differences were seen in ORM-1 levels in the brain or periphery at 24 hours post-stroke. Conclusion: In conclusion, ORM-1 is a sexually dimorphic protein involved in the early (<24 hour) response to ischemic stroke. This research serves as an initial step in determining the mechanism of ORM-1 in the ischemic stroke response and its potential as a future therapeutic target for both sexes.

scholarly journals BrainNetVis: An Open-Access Tool to Effectively Quantify and Visualize Brain Networks

2011 ◽  
Vol 2011 ◽  
pp. 1-12 ◽  
Author(s):  
Eleni G. Christodoulou ◽  
Vangelis Sakkalis ◽  
Vassilis Tsiaras ◽  
Ioannis G. Tollis
Keyword(s):  
Open Access ◽  
Brain Network ◽  
Global Network ◽  
Control Group ◽  
Network Modelling ◽  
Network Information ◽  
Network Measures ◽  
Graph Metrics ◽  
Network Metrics ◽  
The Brain

This paper presents BrainNetVis, a tool which serves brain network modelling and visualization, by providing both quantitative and qualitative network measures of brain interconnectivity. It emphasizes the needs that led to the creation of this tool by presenting similar works in the field and by describing how our tool contributes to the existing scenery. It also describes the methods used for the calculation of the graph metrics (global network metrics and vertex metrics), which carry the brain network information. To make the methods clear and understandable, we use an exemplar dataset throughout the paper, on which the calculations and the visualizations are performed. This dataset consists of an alcoholic and a control group of subjects.

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