scholarly journals Voluntary running does not increase capillary blood flow but promotes neurogenesis and short-term memory in the APP/PS1 mouse model of Alzheimer’s disease

2020 ◽  
Author(s):  
Kaja Falkenhain ◽  
Nancy E. Ruiz-Uribe ◽  
Mohammad Haft-Javaherian ◽  
Muhammad Ali ◽  
Pietro E. Michelucci ◽  
...  
Keyword(s):  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Mouse Models ◽  
Short Term Memory ◽  
Wheel Running ◽  
Memory Function ◽  
Brain Inflammation ◽  
Short Term ◽  
Term Memory ◽  
The Impact

ABSTRACTExercise exerts a beneficial effect on the major pathological and clinical symptoms associated with Alzheimer’ s disease in humans and mouse models of the disease. While numerous mechanisms for such benefits from exercise have been proposed, a clear understanding of the causal links remains elusive. Recent studies also suggest that cerebral blood flow in the brain of both Alzheimer’ s patients and mouse models of the disease is decreased and that the cognitive symptoms can be improved when blood flow is restored. We therefore hypothesized that the mitigating effect of exercise on the development and progression of Alzheimer’ s disease may be mediated through an increase in the otherwise reduced brain blood flow. To test this idea, we examined the impact of three months of voluntary wheel running in ∼1-year-old APP/PS1 mice on short-term memory function, brain inflammation, amyloid deposition, and cerebral blood flow. Our findings that exercise led to improved memory function, a trend toward reduced brain inflammation, markedly increased neurogenesis in the dentate gyrus, and no changes in amyloid-beta deposits are consistent with other reports on the impact of exercise on the progression of Alzheimer’ s related symptoms in mouse models. Notably, we did not observe any impact of wheel running on overall cortical blood flow nor on the incidence of non-flowing capillaries, a mechanism we recently identified as one contributing factor to cerebral blood flow deficits in mouse models of Alzheimer’ s disease. Overall, our results replicate previous findings that exercise is able to ameliorate certain aspects of Alzheimer’ s disease pathology, but show that this benefit does not appear to act through increases in cerebral blood flow.

scholarly journals Increasing cerebral blood flow improves cognition into late stages in Alzheimer’s disease mice

2019 ◽  
Vol 40 (7) ◽  
pp. 1441-1452 ◽  
Author(s):  
Oliver Bracko ◽  
Brendah N Njiru ◽  
Madisen Swallow ◽  
Muhammad Ali ◽  
Mohammad Haft-Javaherian ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Short Term Memory ◽  
Memory Function ◽  
Neutrophil Adhesion ◽  
Short Term ◽  
Term Memory ◽  
Model Of Alzheimer’S Disease

Alzheimer’s disease is associated with a 20–30% reduction in cerebral blood flow. In the APP/PS1 mouse model of Alzheimer’s disease, inhibiting neutrophil adhesion using an antibody against the neutrophil specific protein Ly6G was recently shown to drive rapid improvements in cerebral blood flow that was accompanied by an improvement in performance on short-term memory tasks. Here, in a longitudinal aging study, we assessed how far into disease development a single injection of anti-Ly6G treatment can acutely improve short-term memory function. We found that APP/PS1 mice as old as 15–16 months had improved performance on the object replacement and Y-maze tests of spatial and working short-term memory, measured at one day after anti-Ly6G treatment. APP/PS1 mice at 17–18 months of age or older did not show acute improvements in cognitive performance, although we did find that capillary stalls were still reduced and cerebral blood flow was still increased by 17% in 21–22-months-old APP/PS1 mice given anti-Ly6G antibody. These data add to the growing body of evidence suggesting that cerebral blood flow reductions are an important contributing factor to the cognitive dysfunction associated with neurodegenerative disease. Thus, interfering with neutrophil adhesion could be a new therapeutic approach for Alzheimer’s disease.

scholarly journals Increasing cerebral blood flow improves cognition into late stages in Alzheimer’s disease mice

2019 ◽  
Author(s):  
Oliver Bracko ◽  
Brendah N. Njiru ◽  
Madisen Swallow ◽  
Muhammad Ali ◽  
Chris B. Schaffer
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Short Term Memory ◽  
Memory Function ◽  
Specific Protein ◽  
Short Term ◽  
Term Memory ◽  
Improved Performance

AbstractAlzheimer’s disease (AD) is associated with a 20-30% reduction in cerebral blood flow. In the APP/PS1 mouse model of AD, inhibiting neutrophil adhesion using an antibody against the neutrophil specific protein Ly6G was recently shown to drive rapid improvements in cerebral blood flow that was accompanied by an improvement in performance on short-term memory tasks. Here, in a longitudinal aging study, we assessed how far into disease development a single injection of anti-Ly6G can acutely improve memory function. We found that APP/PS1 mice as old as 15-16 months had improved performance on the object replacement and Y-maze tests of short-term memory, measured at one day after anti-Ly6G treatment. APP/PS1 mice 17-18 months of age or older did not show acute improvements in cognitive performance, although we did find that cerebral blood flow was still increased by 17% in 21-22 months old APP/PS1 mice given anti-Ly6G. These data add to the growing body of evidence suggesting that cerebral blood flow reductions are an important contributing factor to the cognitive dysfunction associated with neurodegenerative disease.

Effectiveness of humor on short term memory function in age matched elderly and diabetic subjects vs. control group

2013 ◽  
Author(s):  
Gurinder S. Bains ◽  
Lee Berk ◽  
Noha Daher ◽  
Pooja Deshpande ◽  
Everett Lohman ◽  
...  
Keyword(s):  
Short Term Memory ◽  
Memory Function ◽  
Control Group ◽  
Short Term ◽  
Term Memory

Captions and reduced forms instruction: The impact on EFL students’ listening comprehension

ReCALL ◽  
2013 ◽  
Vol 26 (1) ◽  
pp. 44-61 ◽  
Author(s):  
Jie Chi Yang ◽  
Peichin Chang
Keyword(s):  
Language Learners ◽  
Listening Comprehension ◽  
Short Term Memory ◽  
Limited Capacity ◽  
Short Term ◽  
Term Memory ◽  
Efl Learners ◽  
Efl Students ◽  
The Impact ◽  
Reduced Forms

AbstractFor many EFL learners, listening poses a grave challenge. The difficulty in segmenting a stream of speech and limited capacity in short-term memory are common weaknesses for language learners. Specifically, reduced forms, which frequently appear in authentic informal conversations, compound the challenges in listening comprehension. Numerous interventions have been implemented to assist EFL language learners, and of these, the application of captions has been found highly effective in promoting learning. Few studies have examined how different modes of captions may enhance listening comprehension. This study proposes three modes of captions: full, keyword-only, and annotated keyword captions and investigates their contribution to the learning of reduced forms and overall listening comprehension. Forty-four EFL university students participated in the study and were randomly assigned to one of the three groups. The results revealed that all three groups exhibited improvement on the pre-test while the annotated keyword caption group exhibited the best performance with the highest mean score. Comparing performances between groups, the annotated keyword caption group also emulated both the full caption and the keyword-only caption groups, particularly in the ability to recognize reduced forms. The study sheds light on the potential of annotated keyword captions in enhancing reduced forms learning and overall listening comprehension.

scholarly journals The impact of aging and hearing status on verbal short-term memory

2013 ◽  
Vol 21 (4) ◽  
pp. 464-482 ◽  
Author(s):  
Clémence Verhaegen ◽  
Fabienne Collette ◽  
Steve Majerus
Keyword(s):  
Short Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Hearing Status ◽  
The Impact

Production Forecasting with the Interwell Interference by Integrating Graph Convolutional and Long Short-Term Memory Neural Network

2021 ◽  
pp. 1-17
Author(s):  
Enda Du ◽  
Yuetian Liu ◽  
Ziyan Cheng ◽  
Liang Xue ◽  
Jing Ma ◽  
...  
Keyword(s):  
Neural Network ◽  
Short Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Production Forecasting ◽  
Temporal Correlations ◽  
Proposed Model ◽  
The Mean ◽  
Long Short Term Memory ◽  
The Impact

Summary Accurate production forecasting is an essential task and accompanies the entire process of reservoir development. With the limitation of prediction principles and processes, the traditional approaches are difficult to make rapid predictions. With the development of artificial intelligence, the data-driven model provides an alternative approach for production forecasting. To fully take the impact of interwell interference on production into account, this paper proposes a deep learning-based hybrid model (GCN-LSTM), where graph convolutional network (GCN) is used to capture complicated spatial patterns between each well, and long short-term memory (LSTM) neural network is adopted to extract intricate temporal correlations from historical production data. To implement the proposed model more efficiently, two data preprocessing procedures are performed: Outliers in the data set are removed by using a box plot visualization, and measurement noise is reduced by a wavelet transform. The robustness and applicability of the proposed model are evaluated in two scenarios of different data types with the root mean square error (RMSE), the mean absolute error (MAE), and the mean absolute percentage error (MAPE). The results show that the proposed model can effectively capture spatial and temporal correlations to make a rapid and accurate oil production forecast.

scholarly journals Analysis of Groundwater Level Variations Caused by the Changes in Groundwater Withdrawals Using Long Short-Term Memory Network

Hydrology ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 64 ◽  
Author(s):  
Mun-Ju Shin ◽  
Soo-Hyoung Moon ◽  
Kyung Goo Kang ◽  
Duk-Chul Moon ◽  
Hyuk-Joon Koh
Keyword(s):  
Groundwater Level ◽  
Short Term Memory ◽  
Groundwater Resources ◽  
Prediction Performance ◽  
Groundwater Withdrawal ◽  
Short Term ◽  
Maximum Increase ◽  
Term Memory ◽  
Long Short Term Memory ◽  
The Impact

To properly manage the groundwater resources, it is necessary to analyze the impact of groundwater withdrawal on the groundwater level. In this study, a Long Short-Term Memory (LSTM) network was used to evaluate the groundwater level prediction performance and analyze the impact of the change in the amount of groundwater withdrawal from the pumping wells on the change in the groundwater level in the nearby monitoring wells located in Jeju Island, Korea. The Nash–Sutcliffe efficiency between the observed and simulated groundwater level was over 0.97. Therefore, the groundwater prediction performance of LSTM was remarkably high. If the groundwater level is simulated on the assumption that the future withdrawal amount is reduced by 1/3 of the current groundwater withdrawal, the range of the maximum rise of the groundwater level would be 0.06–0.13 m compared to the current condition. In addition, assuming that no groundwater is taken, the range of the maximum increase in the groundwater level would be 0.11–0.38 m more than the current condition. Therefore, the effect of groundwater withdrawal on the groundwater level in this area was exceedingly small. The method and results can be used to develop new groundwater withdrawal sources for the redistribution of groundwater withdrawals.

scholarly journals Impact of COVID-19 on Forecasting Stock Prices: An Integration of Stationary Wavelet Transform and Bidirectional Long Short-Term Memory

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Daniel Štifanić ◽  
Jelena Musulin ◽  
Adrijana Miočević ◽  
Sandi Baressi Šegota ◽  
Roman Šubić ◽  
...  
Keyword(s):  
Crude Oil ◽  
Stock Prices ◽  
Short Term Memory ◽  
Oil Price ◽  
Stationary Wavelet Transform ◽  
Crude Oil Price ◽  
Short Term ◽  
Term Memory ◽  
Long Short Term Memory ◽  
The Impact

COVID-19 is an infectious disease that mostly affects the respiratory system. At the time of this research being performed, there were more than 1.4 million cases of COVID-19, and one of the biggest anxieties is not just our health, but our livelihoods, too. In this research, authors investigate the impact of COVID-19 on the global economy, more specifically, the impact of COVID-19 on the financial movement of Crude Oil price and three US stock indexes: DJI, S&P 500, and NASDAQ Composite. The proposed system for predicting commodity and stock prices integrates the stationary wavelet transform (SWT) and bidirectional long short-term memory (BDLSTM) networks. Firstly, SWT is used to decompose the data into approximation and detail coefficients. After decomposition, data of Crude Oil price and stock market indexes along with COVID-19 confirmed cases were used as input variables for future price movement forecasting. As a result, the proposed system BDLSTM + WT-ADA achieved satisfactory results in terms of five-day Crude Oil price forecast.

Acute Exercise and Sustained Attention on Memory Function

2020 ◽  
Vol 44 (3) ◽  
pp. 326-332
Author(s):  
Audreaiona Waters ◽  
Liye Zou ◽  
Myungjin Jung ◽  
Qian Yu ◽  
Jingyuan Lin ◽  
...  
Keyword(s):  
Neural Networks ◽  
Sustained Attention ◽  
Acute Exercise ◽  
Short Term Memory ◽  
Memory Function ◽  
Long Term Memory ◽  
Short Term ◽  
Attention Task ◽  
Term Memory

Objective: Sustained attention is critical for various activities of daily living, including engaging in health-enhancing behaviors and inhibition of health compromising behaviors. Sustained attention activates neural networks involved in episodic memory function, a critical cognition for healthy living. Acute exercise has been shown to activate these same neural networks. Thus, it is plausible that engaging in a sustained attention task and engaging in a bout of acute exercise may have an additive effect in enhancing memory function, which was the purpose of this experiment. Methods: 23 young adults (Mage = 20.7 years) completed 2 visits, with each visit occurring approximately 24 hours apart, in a counterbalanced order, including: (1) acute exercise with sustained attention, and (2) sustained attention only. Memory was assessed using a word-list paradigm and included a short- and long-term memory assessment. Sustained attention was induced via a sustained attention to response task (SART). Acute exercise involved a 15-minute bout of moderate-intensity exercise. Results: Short-term memory performance was significantly greater than long-term memory, Mdiff = 1.86, p < .001, and short-term memory for Exercise with Sustained Attention was significantly greater than short-term memory for Sustained Attention Only, Mdiff = 1.50, p = .01. Conclusion: Engaging in an acute bout of exercise before a sustained attention task additively influenced short-term memory function.

scholarly journals Electroconvulsive therapy hasn’t negative effects on short-term memory function, as assessed using a bedside hand-held device

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Helge H.O. Müller ◽  
Mareen Reike ◽  
Simon Grosse-Holz ◽  
Mareike Röther ◽  
Caroline Lücke ◽  
...  
Keyword(s):  
Cognitive Performance ◽  
Electroconvulsive Therapy ◽  
Short Term Memory ◽  
Memory Function ◽  
Memory Deficits ◽  
Treatment Resistant ◽  
Negative Effects ◽  
Short Term ◽  
Term Memory ◽  
Digital Measurements

Electroconvulsive therapy (ECT) is effective in the treatment of treatment-resistant major depression. The fear of cognitive impairment after ECT often deters patients from choosing this treatment option. There is little reliable information regarding the effects of ECT on overall cognitive performance, while short-term memory deficits are well known but not easy to measure within clinical routines. In this pilot study, we examined ECT recipients’ pre- and posttreatment performances on a digital ascending number tapping test. We found that cognitive performance measures exhibited good reproducibility in individual patients and that ECT did not significantly alter cognitive performance up to 2 hours after this therapy was applied. Our results can help patients and physicians make decisions regarding the administration of ECT. Digital measurements are recommended, especially when screening for the most common side effects on cognitive performance and short-term memory.

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