scholarly journals Mobile Electroencephalography for Studying Neural Control of Human Locomotion

2021 ◽  
Vol 15 ◽  
Author(s):  
Seongmi Song ◽  
Andrew D. Nordin
Keyword(s):  
Real World ◽  
Neural Control ◽  
Human Performance ◽  
Multisensory Processing ◽  
Human Locomotion ◽  
Neural Pathways ◽  
Future Directions ◽  
Non Invasive ◽  
Locomotor Control ◽  
The Brain

Walking or running in real-world environments requires dynamic multisensory processing within the brain. Studying supraspinal neural pathways during human locomotion provides opportunities to better understand complex neural circuity that may become compromised due to aging, neurological disorder, or disease. Knowledge gained from studies examining human electrical brain dynamics during gait can also lay foundations for developing locomotor neurotechnologies for rehabilitation or human performance. Technical barriers have largely prohibited neuroimaging during gait, but the portability and precise temporal resolution of non-invasive electroencephalography (EEG) have expanded human neuromotor research into increasingly dynamic tasks. In this narrative mini-review, we provide a (1) brief introduction and overview of modern neuroimaging technologies and then identify considerations for (2) mobile EEG hardware, (3) and data processing, (4) including technical challenges and possible solutions. Finally, we summarize (5) knowledge gained from human locomotor control studies that have used mobile EEG, and (6) discuss future directions for real-world neuroimaging research.

scholarly journals Aberrant neuroplasticity in autism spectrum disorder

2021 ◽  
Vol 6 (8) ◽  
Keyword(s):  
Autism Spectrum Disorder ◽  
Transcranial Magnetic Stimulation ◽  
Magnetic Stimulation ◽  
Therapeutic Potential ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Future Directions ◽  
Non Invasive ◽  
Repetitive Tms ◽  
The Brain

Developments have taken place within the neurobiology research in Autism spectrum disorder (ASD), and results from these studies indicate that the brain in ASD is related to aberrant neuroplasticity. Transcranial magnetic stimulation (TMS) has quickly evolved to become a widely used, safe, and non-invasive neuroscientific tool to analyze a spread of neuroscience processes, as neuroplasticity. The diagnostic and therapeutic potential of TMS in ASD is setting out to be realized. during this article, we concisely reviewed the proof of aberrant neuroplasticity in ASD, steered future directions in assessing neuroplasticity exploitation repetitive TMS (rTMS), and mentioned the potential of rTMS in rectifying aberrant neuroplasticity in ASD.

NON-INVASIVE BCI METHOD: EEG - ELECTROENCEPHALOGRAPHY

2019 ◽  
pp. 139-145
Author(s):  
Selma Büyükgöze
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Electrode Placement ◽  
Eeg Signals ◽  
Non Invasive ◽  
Brain Signals ◽  
Brain States ◽  
The Brain

Brain Computer Interface consists of hardware and software that convert brain signals into action. It changes the nerves, muscles, and movements they produce with electro-physiological signs. The BCI cannot read the brain and decipher the thought in general. The BCI can only identify and classify specific patterns of activity in ongoing brain signals associated with specific tasks or events. EEG is the most commonly used non-invasive BCI method as it can be obtained easily compared to other methods. In this study; It will be given how EEG signals are obtained from the scalp, with which waves these frequencies are named and in which brain states these waves occur. 10-20 electrode placement plan for EEG to be placed on the scalp will be shown.

Current Strategies and Novel Drug Approaches for Alzheimer Disease

2020 ◽  
Vol 19 (9) ◽  
pp. 676-690 ◽  
Author(s):  
Roma Ghai ◽  
Kandasamy Nagarajan ◽  
Meenakshi Arora ◽  
Parul Grover ◽  
Nazakat Ali ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cholinergic Neurons ◽  
Amyloid Plaque ◽  
Neural Pathways ◽  
Current Trends ◽  
Personality Changes ◽  
Traditional Therapies ◽  
Novel Drug ◽  
The Brain

Alzheimer’s Disease (AD) is a chronic, devastating dysfunction of neurons in the brain leading to dementia. It mainly arises due to neuronal injury in the cerebral cortex and hippocampus area of the brain and is clinically manifested as a progressive mental failure, disordered cognitive functions, personality changes, reduced verbal fluency and impairment of speech. The pathology behind AD is the formation of intraneuronal fibrillary tangles, deposition of amyloid plaque and decline in choline acetyltransferase and loss of cholinergic neurons. Tragically, the disease cannot be cured, but its progression can be halted. Various cholinesterase inhibitors available in the market like Tacrine, Donepezil, Galantamine, Rivastigmine, etc. are being used to manage the symptoms of Alzheimer’s disease. The paper’s objective is to throw light not only on the cellular/genetic basis of the disease, but also on the current trends and various strategies of treatment including the use of phytopharmaceuticals and nutraceuticals. Enormous literature survey was conducted and published articles of PubMed, Scifinder, Google Scholar, Clinical Trials.org and Alzheimer Association reports were studied intensively to consolidate the information on the strategies available to combat Alzheimer’s disease. Currently, several strategies are being investigated for the treatment of Alzheimer’s disease. Immunotherapies targeting amyloid-beta plaques, tau protein and neural pathways are undergoing clinical trials. Moreover, antisense oligonucleotide methodologies are being approached as therapies for its management. Phytopharmaceuticals and nutraceuticals are also gaining attention in overcoming the symptoms related to AD. The present review article concludes that novel and traditional therapies simultaneously promise future hope for AD treatment.

Alcohol Use Disorder

2018 ◽  
Author(s):  
Igor Ponomarev
Keyword(s):  
Alcohol Use ◽  
Alcohol Use Disorder ◽  
Critical Discussion ◽  
Epigenetic Mechanisms ◽  
Future Directions ◽  
Clinically Significant ◽  
Early Life Exposures ◽  
The Brain ◽  
Epigenetic Research

Alcohol use disorder (AUD) is characterized by clinically significant impairments in health and social function. Epigenetic mechanisms of gene regulation may provide an attractive explanation for how early life exposures to alcohol contribute to the development of AUD and exert lifelong effects on the brain. This chapter provides a critical discussion of the role of epigenetic mechanisms in AUD etiology and the potential of epigenetic research to improve diagnosis, evaluate risks for alcohol-induced pathologies, and promote development of novel therapies for the prevention and treatment of AUD. Challenges of the current epigenetic approaches and future directions are also discussed.

Epilogue

2018 ◽  
Author(s):  
Bruno and
Keyword(s):  
Sensory Processing ◽  
Multisensory Processing ◽  
Multisensory Perception ◽  
Future Directions ◽  
Life Problems ◽  
Multisensory Interactions ◽  
Contemporary Work ◽  
New Perspective

Multisensory interactions in perception are pervasive and fundamental, as we have documented throughout this book. In this final chapter, we propose that contemporary work on multisensory processing is a paradigm shift in perception science, calling for a radical reconsideration of empirical and theoretical questions within an entirely new perspective. In making our case, we emphasize that multisensory perception is the norm, not the exception, and we remark that multisensory interactions can occur early in sensory processing. We reiterate the key notions that multisensory interactions come in different kinds and that principles of multisensory processing must be considered when tackling multisensory daily-life problems. We discuss the role of unisensory processing in a multisensory world, and we conclude by suggesting future directions for the multisensory field.

scholarly journals Stability and flexibility in multisensory sampling: insights from perceptual illusions

2019 ◽  
Vol 121 (5) ◽  
pp. 1588-1590 ◽  
Author(s):  
Luca Casartelli
Keyword(s):  
Temporal Dynamics ◽  
Multisensory Processing ◽  
General Idea ◽  
Perceptual Illusions ◽  
The Brain ◽  
Multisensory Processes

Neural, oscillatory, and computational counterparts of multisensory processing remain a crucial challenge for neuroscientists. Converging evidence underlines a certain efficiency in balancing stability and flexibility of sensory sampling, supporting the general idea that multiple parallel and hierarchically organized processing stages in the brain contribute to our understanding of the (sensory/perceptual) world. Intriguingly, how temporal dynamics impact and modulate multisensory processes in our brain can be investigated benefiting from studies on perceptual illusions.

scholarly journals Differences in Cardiac Effects of Venoms from Tentacles and the Bell of Live Carukia barnesi: Using Non-Invasive Pulse Wave Doppler

Toxins ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 19
Author(s):  
Mark Little ◽  
Peter Pereira ◽  
Jamie Seymour
Keyword(s):  
Animal Models ◽  
Murine Model ◽  
Real World ◽  
Cardiac Dysfunction ◽  
Pulse Wave ◽  
Cardiac Effects ◽  
Post Exposure ◽  
Non Invasive ◽  
Cardiac Decompensation

Carukia barnesi was the first in an expanding list of cubozoan jellyfish whose sting was identified as causing Irukandji syndrome. Nematocysts present on both the bell and tentacles are known to produce localised stings, though their individual roles in Irukandji syndrome have remained speculative. This research examines differences through venom profiling and pulse wave Doppler in a murine model. The latter demonstrates marked measurable differences in cardiac parameters. The venom from tentacles (CBVt) resulted in cardiac decompensation and death in all mice at a mean of 40 min (95% CL: ± 11 min), whereas the venom from the bell (CBVb) did not produce any cardiac dysfunction nor death in mice at 60 min post-exposure. This difference is pronounced, and we propose that bell exposure is unlikely to be causative in severe Irukandji syndrome. To date, all previously published cubozoan venom research utilised parenterally administered venom in their animal models, with many acknowledging their questionable applicability to real-world envenomation. Our model used live cubozoans on anaesthetised mice to simulate normal envenomation mechanics and actual expressed venoms. Consequently, we provide validity to the parenteral methodology used by previous cubozoan venom research.

scholarly journals A Survey on Bias and Fairness in Machine Learning

2021 ◽  
Vol 54 (6) ◽  
pp. 1-35
Author(s):  
Ninareh Mehrabi ◽  
Fred Morstatter ◽  
Nripsuta Saxena ◽  
Kristina Lerman ◽  
Aram Galstyan
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Real World ◽  
State Of The Art ◽  
Future Directions ◽  
Discriminatory Behavior ◽  
Real World Applications ◽  
Near Future ◽  
Different Sources

With the widespread use of artificial intelligence (AI) systems and applications in our everyday lives, accounting for fairness has gained significant importance in designing and engineering of such systems. AI systems can be used in many sensitive environments to make important and life-changing decisions; thus, it is crucial to ensure that these decisions do not reflect discriminatory behavior toward certain groups or populations. More recently some work has been developed in traditional machine learning and deep learning that address such challenges in different subdomains. With the commercialization of these systems, researchers are becoming more aware of the biases that these applications can contain and are attempting to address them. In this survey, we investigated different real-world applications that have shown biases in various ways, and we listed different sources of biases that can affect AI applications. We then created a taxonomy for fairness definitions that machine learning researchers have defined to avoid the existing bias in AI systems. In addition to that, we examined different domains and subdomains in AI showing what researchers have observed with regard to unfair outcomes in the state-of-the-art methods and ways they have tried to address them. There are still many future directions and solutions that can be taken to mitigate the problem of bias in AI systems. We are hoping that this survey will motivate researchers to tackle these issues in the near future by observing existing work in their respective fields.

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