Category Archives: Neuroscience

COVID-19 impact on Neuroscience Market Variables, Information, Emerging Trends, Analysis and Forecast 2020-2025 – Farming Sector

Neuroscience Market 2020: Latest Analysis

Chicago, United States:- Global Neuroscience Market is carefully researched in this report, keeping in view important aspects such as market competition, global and regional growth, market segmentation, and market structure. The analysts authoring the report have estimated the size of the global Neuroscience market in terms of value and volume with the use of latest research tools and techniques. The report also includes estimations of market shares, revenue, production, consumption, gross margin, CAGR, and other key factors. Readers can expand their knowledge of business strategies, recent developments, and current as well as future progress of leading players of the global Neuroscience market.

Neuroscience Market in database providing expert and in-depth analysis of key business trends and future market development prospects, key drivers and limitations, profile of key market players, segmentation and forecasts. An Neuroscience Market provides an extensive view of size; trends and shape have been developed in this report to identify factors that will exhibit a significant impact in boosting the sales of Neuroscience Market in the near future.

Key players profiled in the report includes: GE Healthcare, Siemens Healthineers, Noldus Information Technology, Mightex Bioscience, Thomas RECORDING GmbH, Blackrock Microsystems, Tucker-Davis Technologies, Plexon, Phoenix Technology Group, NeuroNexus, Alpha Omega

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The report features unique and relevant factors that are likely to have a significant impact on the Neuroscience market during the forecast period. This report also includes the COVID-19 pandemic impact analysis on the Neuroscience market. This report includes a detailed and considerable amount of information, which will help new providers in the most comprehensive manner for better understanding. The report elaborates the historical and current trends molding the growth of the Neuroscience market.

This report examines all the key factors influencing growth of global Neuroscience market, including demand-supply scenario, pricing structure, profit margins, production and value chain analysis. Regional assessment of global Neuroscience market unlocks a plethora of untapped opportunities in regional and domestic market places. Detailed company profiling enables users to evaluate company shares analysis, emerging product lines, scope of NPD in new markets, pricing strategies, innovation possibilities and much more.

Segmentation by Application: HospitalsDiagnostic LaboratoriesResearch InstitutesOthers

Segmentation by Type: Whole Brain ImagingNeuro-MicroscopyElectrophysiology TechnologiesNeuro-Cellular ManipulationStereotaxic SurgeriesAnimal BehaviorOthers

Our exploration specialists acutely ascertain the significant aspects of the global Neuroscience market report. It also provides an in-depth valuation in regards to the future advancements relying on the past data and present circumstance of Neuroscience market situation. In this Neuroscience report, we have investigated the principals, players in the market, geological regions, product type, and market end-client applications. The global Neuroscience report comprises of primary and secondary data which is exemplified in the form of pie outlines, Neuroscience tables, analytical figures, and reference diagrams. The Neuroscience report is presented in an efficient way that involves basic dialect, basic Neuroscience outline, agreements, and certain facts as per solace and comprehension.

Regional Coverage: North America (United States, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), South America (Brazil, Argentina, Colombia etc.), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

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Table of Contents

Report Overview: It includes major players of the global Neuroscience Market covered in the research study, research scope, and Market segments by type, market segments by application, years considered for the research study, and objectives of the report.

Global Growth Trends: This section focuses on industry trends where market drivers and top market trends are shed light upon. It also provides growth rates of key producers operating in the global Neuroscience Market. Furthermore, it offers production and capacity analysis where marketing pricing trends, capacity, production, and production value of the global Neuroscience Market are discussed.

Market Share by Manufacturers: Here, the report provides details about revenue by manufacturers, production and capacity by manufacturers, price by manufacturers, expansion plans, mergers and acquisitions, and products, market entry dates, distribution, and market areas of key manufacturers.

Market Size by Type: This section concentrates on product type segments where production value market share, price, and production market share by product type are discussed.

Market Size by Application: Besides an overview of the global Neuroscience Market by application, it gives a study on the consumption in the global Neuroscience Market by application.

Production by Region: Here, the production value growth rate, production growth rate, import and export, and key players of each regional market are provided.

Consumption by Region: This section provides information on the consumption in each regional market studied in the report. The consumption is discussed on the basis of country, application, and product type.

Company Profiles: Almost all leading players of the global Neuroscience Market are profiled in this section. The analysts have provided information about their recent developments in the global Neuroscience Market, products, revenue, production, business, and company.

Market Forecast by Production: The production and production value forecasts included in this section are for the global Neuroscience Market as well as for key regional markets.

Market Forecast by Consumption: The consumption and consumption value forecasts included in this section are for the global Neuroscience Market as well as for key regional markets.

Value Chain and Sales Analysis: It deeply analyzes customers, distributors, sales channels, and value chain of the global Neuroscience Market.

Key Findings: This section gives a quick look at important findings of the research study.

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COVID-19 impact on Neuroscience Market Variables, Information, Emerging Trends, Analysis and Forecast 2020-2025 - Farming Sector

Inaugural ‘Black in X’ Weeks Foster Inclusivity and Empowerment in STEM – PBS

For many citizens of the world, the year 2020 will live in infamy. The COVID-19 virus has infected more than 75 million people and taken the lives of over one million worldwide. In the United States, the situation has been particularly dire with the virus claiming the lives of more than 300,000 Americans. The pandemic has upended peoples day-to-day routines, eliminated jobs, and left many households facing financial hardship. The world has waited anxiously as virologists worked at record speed to produce a vaccine capable of ending the pandemic. Amid the turmoil of COVID-19, the senseless killings of George Floyd, Breonna Taylor, Ahmaud Arbery, and other Black Americans catalyzed protests across the United States and spotlighted police brutality, systemic racism, and the disproportionate impact of the pandemic on people of color.

These events left many in the scientific community evaluating their own role in addressing inequities in their fields. Despite years of progress, people of color continue to be underrepresented in science and engineering. Although Black Americans make up 13% of the U.S. population, just 5.4% of Ph.Ds are awarded to Black candidates, according to data from the National Science Foundation. In fact, in 2017 there were more than a dozen fieldslargely subfields within science, technology, engineering, and mathin which not a single doctoral degree was awarded to a Black person anywhere in the United States.

But amid the pain and turmoil of this past summer, something empowering and inclusive was created. The racist confrontation that Christian Cooper, a board member of New York City Audubon, experienced while birding in New Yorks Central Park sparked the viral online movement Black Birders Week, and a myriad of STEM-themed Black in X weeks followed.

Pictured here are the women who were instrumental in the creation of Black Birders Week and the Black AF in STEM collective. Illustration By: Nina Chhita

During the rest of 2020, scholars from across scientific fields came together in a grassroots fashion to create virtual events, panels, and social media campaigns to amplify the experiences and contributions of Black scientists. Numerous Black in X weeks took shape to spotlight the presence and achievements of Black STEM professionals. Through these open online forums, participants discussed things like representation and mentorship in academia, the joys and challenges of fieldwork, and incredible insights and breakthroughs in science.

Conversations around cultural responsiveness, anti-racism, and anti-bias are becoming more widespread within educational circles. For educators and students, these social media campaigns that promote inclusivity and intersectional diversity have created a platform for a new generation of scientists and science communicators who have long been underrepresented. The virtual campaigns attracted a diverse range of individuals, including American rapper and record producer MC Hammer; Kezzmekia Corbett, a virologist who has led the charge to create a COVID-19 vaccine; and science educators.

So how can science educators harness the spirit of inclusive events like Black Birders Week in the classroom? These campaigns highlight the importance of fostering a learning environment that promotes diversity and inclusion within STEM as well as acknowledging the systemic issues that have historically prevented full participation of everyone in STEM. And students can review social media campaign posts that feature young Black scientists from around the globe, have a conversation about their experiences, and discuss the importance of diverse role models. In case you missed the opportunity to participate during these inaugural online events, get to know five new groups pushing for equality and inclusion in STEM.

In early June, Black researchers and avian enthusiasts flocked to social media to participate in the first ever Black Birders Week. The inaugural event was organized in direct response to the racist confrontation Christian Cooper experienced while he was birding in New Yorks Central Park.

The brainchild of the grassroots group Black AF in STEM, the initiative has united Black science, technology, engineering, and math (STEM) professionals around the world and amassed more than 60,000 social media followers. Over the course of the week, nature enthusiasts from around the world shared their favorite stories about the great outdoors using the now viral hashtag #BlackinNature. The core message of Black Birders Week has been to amplify and encourage more participation and diversity in the outdoor and environmental spaces. Although the week has ended, the work has just begun, according to the organizing team.

Black AF in STEM is encouraging their followers to continue the conversation on social media, support Black scientists, businesses, and media: The time for action is now, it is our hope that the political pressure brought on by the protests since the deaths of Ahmaud Arbery, George Floyd and Breonna Taylor, and the conversations we have had here with you, have stoked a fire that will not go out anytime soon and allow us to bring real change to Black communities everywhere both inside and outside of STEM.

Following in the viral footsteps of Black Birders Week, the organizers behind #BlackinNeuro decided to launch their very own inaugural event. Organized by and for neuroscientists and science communicators, Black in Neuroscience Week was created to celebrate, amplify, and support Black scientists in neuroscience related fields.

Many of us are one of few, if not the only, Black people in our neuro departments, says Black in Neuroscience founder and president, Angeline Dukes. We all desperately needed to connect with others who understood what we were experiencing as Black academics and clinicians during this time of social unrest on top of the pandemic.

In reflecting back on some of her favorite moments during the week, Duke noted how incredible it was to meet so many female Black neuroscientists who are open to sharing their stories and journeys to achieving their goals. The camaraderie in our shared experiences was priceless, Duke says. You could just tell how important it was for everyone there to be able to connect and feel supported, there was an overwhelming amount of love in that Zoom room.

In case you missed Black in Neuroscience Week and would like to participate, the group is offering regular monthly socials with the Black in Neuro community as well as workshops and panels. On the Black in Neuro website you can find an interactive calendar with a comprehensive list of Black in X weeks plus related efforts, as well as a directory with more than 200 neuroscientists, engineers, educators, and communicators. All virtual panels from Black in Neuroscience Week are available to stream on the teams YouTube Channel.

In the spirit of inclusivity and empowerment, a team of Black mammalogists, led by Rhiannon Kirton and Christine Wilkinson, teamed up with the American Society of Mammalogists to provide opportunities for current and aspiring Black mammalogists, while also illuminating historical and present-day Black contributions to the field of mammalogy.

"The catalyst for organizing the week was when we noticed an article that said there was only one African-American female large carnivore ecologist in the world, which we knew was not the case, says Wilkinson. We knew then more than ever that it was important to connect our community (Black mammalogists and wildlife ecologists) with one another and to show young Black scholars and mammal enthusiasts that there are lots of us already out here.

Over the course of the week, Black mammalogists shared information on techniques commonly used for monitoring wildlife populations in the field, curated a variety of panels led by experts focused on threatened and misunderstood mammals, as well as #WeOutHereWednesday, a campaign which provided an opportunity for participants to network within the field and get to know their peers.

"I heard from multiple parents and teachers that their kids were so excited to be able to learn from Black mammalogists, and one parent even said she cried because her child now had role models, says Wilkinson.

For more information on what the future holds for Black Mammalogists, stay tuned for updates on their website. Until then, all virtual panel videos are available to stream on the teams website. For additional teaching resources from the week, explore the teams collection of coloring pages which include the scientific names of each mammal and corresponding facts.

With the mission to showcase the presence and accomplishments of Black microbiologists from around the globe, #BlackinMicrobiologyWeek was all about connecting Black microbiologists with one another to foster a sense of community. The week provided a forum for the discussion of racial disparities in microbiology and its subdisciplines, increasing general microbiology knowledge, and supporting the collective work of equity in academia, industry, government and beyond.

Black in Microbiology, Black in Neuro and all the others are pivotal for visibility to younger generations of scientists and to people who have said or thought that this talent pool just does not exist, Kizzmekia Corbett told the New York Times. Corbett was one of four experts featured during the weeks Black in Virology panel. To catch up on all the panel discussions showcased during the week, check out Black in Microbiologys YouTube channel.

Rounding out the list of inaugural Black in X weeks that graced our newsfeeds in 2020 is Black in Marine Science Week! Led by founder Dr. Tiara Moore and organizers Amani Webber-Schultz, Dr. Camille Gaynus, Carlee Jackson, Al Troutman, Jasmin Graham, Jeanette Davis, Kris Howard, Leslie Townsell, Kaylee Arnold, and Jaida Elcock, this week provided an opportunity to highlight organizers and participants from every imaginable marine science niche.

The Black in Marine Science Roll Call allowed scientists and ocean enthusiasts to introduce themselves and promote representation for younger scientists and students. In addition to sharing incredible behind-the-scenes tours of aquariums across the country, the organizers also spotlighted water competency and natural hair care among Black divers, and the fact that exclusion rather than lack of interest has led to a dearth of Black marine scientists.

While we as minority scientists continue to face many challenges throughout our career, we continue to show our resilience, says Black in Marine Science co-organizer Alex Troutman. Just like sea turtles, we started from the bottom and dug our way out, navigated over rough terrain, through obstacles, and escaped predators so that we can thrive!

Although the week has concluded, the Black in Marine Science team plans to hold this event on an annual basis. For more updates and event programming, follow Black in Marine Science on social media and head to the Black in Marine Science YouTube channel to watch panel discussions from the week.

As communities across the country continue to grapple with the legacy of institutional racism, many educators are evaluating the role they can play in addressing systemic issues. Making a conscious effort to be aware of these annual events and acknowledge the ways racial inequities continue to shape our society is a step in the right direction. It is important to remember that having conversations around cultural responsiveness, anti-racism, and anti-bias is a process that requires continual reflection, learning, and growth.

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Inaugural 'Black in X' Weeks Foster Inclusivity and Empowerment in STEM - PBS

Neuroscience Market Analysis, Size, Regional Outlook, Share, Trend, Growth And Forecast Report 2026: GE Healthcare, Siemens Healthineers, Noldus…

A research report on Neuroscience Market compiled byWorldwide Market Reports features a succinct analysis of the latest market trends. The report also includes detailed abstracts about statistics, revenue forecasts, and market valuation, which additionally highlights its status in the competitive landscape and growth trends accepted by major industry players.

Neuroscience Market reports provide a comprehensive overview of the global market size and share. Neuroscience market data reports also provide a 5 year pre-historic and forecast for the sector and include data on socio-economic data of global. Key stakeholders can consider statistics, tables & figures mentioned in this report for strategic planning which leads to the success of the organization.

Have a Need More Info, Request a sample PDF copy at: https://www.worldwidemarketreports.com/sample/331902

The major players profiled in this report include

New business opportunities and rising demand for Neuroscience market activities are the primary factors expected to drive the growth of the Neuroscience market in the United States, EU, Japan, China, India, Africa, Southeast Asia are the major region leading the Neuroscience market.

Impact of COVID-19:

Neuroscience Market report analyses the impact of Coronavirus (COVID-19) on the Neuroscience industry. Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost 180+ countries around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Neuroscience market in 2020.

COVID-19 can affect the global economy in 3 main ways: by directly affecting production and demand, by creating supply chain and market disturbance, and by its financial impact on firms and financial markets.

Further in the Neuroscience Market research reports, following points are included along with in-depth study of each point:

Production Analysis: Production of the Neuroscience is analyzed with respect to different regions, types, and applications. Here, price analysis of various Neuroscience Market key players is also covered.

Supply and Consumption: In continuation with sales, this section studies supply and consumption for the Neuroscience Market. This part also sheds light on the gap between supply and consumption. Import and export figures are also given in this report.

Key Strategic Developments: The study also includes the key strategic developments of the Neuroscience market, comprising R&D, new product launch, M&A, agreements, collaborations, partnerships, joint ventures, Global and regional growth of the leading competitors operating in the market on a global and regional scale.

Get Sample ToC to understand the CORONA Virus/COVID19 impact and be smart in redefining business strategies.https://www.worldwidemarketreports.com/covidimpact/331902

In this report, the global Neuroscience market is valued at USD XX million in 2019 and is expected to reach USD XX million by the end of 2026, growing at a CAGR of XX% between 2019 and 2026.

History Year: 2013-2019

Base Year:2020

Estimated Year:2021

Forecast Year 2020to2026

The report provides an in-detail list of drivers and restraints in the market, which are influencing the market growth. Additionally, provides expected opportunities and emerging trends in the market.

The report includes a detailed study of Porters Five Forces model to analyze the different factors affecting the growth of the market. Moreover, the study also covers a market attractiveness analysis, PESTLE analysis, Value Chain Analysis, and SWOT analysis.

The report is a collection of first-hand information, qualitative assessment by industry analysts, and inputs from industry experts. Moreover, the report also maps the qualitative impact of various market factors on market segments and geographies. The major factor driving the adoption of Neuroscience is the formation of the major industry changing factors for the market segments are explored in this report. This report also covers the growth factors of the global market based on end-users.

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This report includes the estimation of market size for value (million US$) and volume (K Units). Both top-down and bottom-up approaches have been used to estimate and validate the market size of Neuroscience market, to estimate the size of various other dependent submarkets in the overall market. Key players in the market have been identified through secondary research, and their market shares have been determined through primary and secondary research. All percentage shares split, and breakdowns have been determined using secondary sources and verified primary sources.

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Neuroscience Market Analysis, Size, Regional Outlook, Share, Trend, Growth And Forecast Report 2026: GE Healthcare, Siemens Healthineers, Noldus...

‘The Debate of the Next Decade’ AI Debate 2 Explores AGI and AI Ethics – Synced

For the second year in a row, Gary Marcus, CEO and founder of Robust.AI and New York University Professor Emeritus, went live on the AI Debate series hosted by Montral.AI. This time it was not to spar with Turing Award winner Yoshua Bengio, but to moderate three panel discussions on how to move AI forward.

Last year, in the first annual December AI Debate, Yoshua Bengio and I discussed what I think is one of the key debates in the last decade are big data and deep learning alone enough to get to artificial general intelligence (AGI)? said Marcus as he launched what he termed the debate of next decade how can we take AI to the next level?

This years AI Debate 2 Moving AI Forward: An Interdisciplinary Approach was held again on the day before Christmas Eve and featured 16 panellists from leading AI researchers and practitioners to psychology professors, neuroscientists, and researchers on ethical AI. The four-hour event included three panel discussions: Architecture and Challenges, Insights from Neuroscience and Psychology, and Towards AI We Can Trust.

Fei-Fei Li kicked off the Architecture and Challenges panel with the presentation In search of the next AI North Star. Li is a researcher in Computer Vision and AI + Healthcare, a computer science professor at the Stanford University, co-director Stanford Human-Centered AI Institute, and cofounder and chair at AI4ALL.

Problem formulation is the first step to any solution, and AI research is no exception, Li explains. Object recognition as one critical functionality of human intelligence has guided AI researchers to work on deploying it in artificial systems for the past two decades or so. Inspired by the research on the evolution of human/animal nervous systems, Li says she believes the next critical AI problem is how to build interactive learning agents that use perception and actuation to learn and understand the world.

Machine Learning Researcher Luis Lamb, whos also a professor of the Federal University of Rio Grande do Sul in Brazil, and Secretary of State for Innovation, Science and Technology, State of Rio Grande do Sul, Brazil, thinks the current key problem in AI is how to identify its necessary and sufficient building blocks, and how to develop trustworthy ML systems that are not only explainable, but also interpretable.

Richard Sutton, distinguished research scientist at DeepMind and a computing science professor at the University of Alberta in Canada, agrees that its important to understand the problem before offering solutions. He points out that AI has surprisingly little computational theory its true in neuroscience that were missing a sort of higher-level understanding of the goals and purposes of the overall mind, and thats also true in AI, he says.

AI needs an agreed-upon computational theory, Sutton explains, and he regards reinforcement learning (RL) as the first computational theory of intelligence, which is explicit about its goal the whats and the whys of intelligence.

It is well-established that AI can solve problems, but what we humans can do is still very unique, says Ken Stanley, an OpenAI research manager and a courtesy computer sciences professor at the University of Central Florida. As humans exhibit open-ended innovation, AI researchers similarly need to pursue open-endedness in artificial systems.

Stanley emphasizes the importance of understanding what makes intelligence a fundamental aspect of humanity. He identifies several dimensions of intelligence that he believes are neglected: divergence, diversity preservation, stepping stone collection, etc.

Judea Pearl, Turing Award winner for fundamental contributions to AI through the development of a calculus for probabilistic and causal reasoning and director at the UCLA Cognitive Systems Laboratory, argues that next-level AI systems need added knowledge instead of remaining data-driven. This idea that knowledge of the world or common sense is one of the fundamental missing pieces is shared by Yejin Choi, an associate professor at the University of Washington who won the AAAI20 Outstanding Paper Award earlier this year.

The Insights from Neuroscience and Psychology panel had researchers from other disciplines share their views on topics such as how understanding feedback in brains could help build better AI systems.

The final panel, Towards AI We Can Trust, focused on AI ethics and how to deal with biases in ML systems. Algorithmic bias is not only problematic for the direct harms it causes, but also for the cascading harms of how it impacts human beliefs, says Celeste Kidd, a professor at UC Berkeley whose lab studies how humans form beliefs and build knowledge in the world.

Unethical AI systems are problematic because they can be embedded seamlessly in peoples everyday lives and drive human beliefs in sometimes destructive and likely irreparable ways, Kidd explains. The point here is that biases in AI systems reinforce and strengthen biases in the people who use them.

Kidd says right now is a terrifying time for ethics in AI, especially with the termination of Timnit Gebru from Google. She says its clear that private interests will not support diversity, equity and inclusion. It should horrify us that the control of algorithms that drive so much of our lives remains in the hands of a homogeneous narrow-minded minority.

Margaret Mitchell, Gebrus co-lead at Googles Ethical AI team and one of the co-authors of the paper at the centre of the Gebru controversy, introduced research she and Gebru were working on. One of the key things we were really trying to push forward in the ethical AI space is the role of foresight, and how that can be incorporated into all aspects of development.

Theres no such thing as neutrality in algorithms or apolitical programming, Mitchell says. Human biases and different value judgements are everywhere from training data to system structure, post-processing steps, and model output. We were trying to break the system we call it bias laundering. One of the fundamental parts of developing AI ethically is to make sure that from the start there is a diversity of perspectives and background at the table.

This point is reflected in the format selected for this years AI Debate, which was designed to bring in different perspectives. As an old African proverb goes it takes a village to raise a child. Marcus says it similarly would take a village to raise an AI thats ethical, robust, and trustworthy. He concludes that it was great to have some pieces of that village gather together at this years AI Debate, and that he also sees a lot of convergence in what the panellists brought to the event.

Reporter: Yuan Yuan | Editor: Michael Sarazen

Synced Report |A Survey of Chinas Artificial Intelligence Solutions in Response to the COVID-19 Pandemic 87 Case Studies from 700+ AI Vendors

This report offers a look at how China has leveraged artificial intelligence technologies in the battle against COVID-19. It is also available onAmazon Kindle.Along with this report, we also introduced adatabasecovering additional 1428 artificial intelligence solutions from 12 pandemic scenarios.

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'The Debate of the Next Decade' AI Debate 2 Explores AGI and AI Ethics - Synced

Study reveals how our brains track where we and others go – News-Medical.Net

As COVID cases rise, physically distancing yourself from other people has never been more important. Now a new UCLA study reveals how your brain navigates places and monitors someone else in the same location.

Published Dec. 23 in Nature, the findings suggest that our brains generate a common code to mark where other people are in relation to ourselves.

"We studied how our brain reacts when we navigate a physical space - first alone and then with others," said senior author Nanthia Suthana, the Ruth and Raymond Stotter Chair in Neurosurgery and an assistant professor of neurosurgery and psychiatry at the David Geffen School of Medicine at UCLA and Jane and Terry Semel Institute for Neuroscience and Human Behavior.

"Our results imply that our brains create a universal signature to put ourselves in someone else's shoes," added Suthana, whose laboratory studies how the brain forms and recalls memories.

Suthana and her colleagues observed epilepsy patients whose brains had been surgically implanted earlier with electrodes to control their seizures. The electrodes resided in the medial temporal lobe, the brain center linked to memory and suspected to regulate navigation, much like a GPS device.

"Earlier studies have shown that low-frequency brain waves by neurons in the medial temporal lobe help rodents keep track of where they are as they navigate a new place," said first author Matthias Stangl, a postdoctoral scholar in Suthana's lab. "We wanted to investigate this idea in people--and test whether they could also monitor others near them--but were hampered by existing technology."

Using a $3.3 million award from the National Institutes of Health's BRAIN Initiative, Suthana's lab invented a special backpack containing a computer that wirelessly connects to brain electrodes. This enabled her to study research subjects as they moved freely instead of lying still in a brain scanner or hooked up to a recording device.

In this experiment, each patient wore the backpack and was instructed to explore an empty room, find a hidden spot and remember it for future searches. While they walked, the backpack recorded their brain waves, eye movements and paths through the room in real time.

As the participants searched the room, their brain waves flowed in a distinctive pattern, suggesting that each person's brain had mapped out the walls and other boundaries. Interestingly, the patients' brain waves also flowed in a similar manner when they sat in a corner of the room and watched someone else approach the location of the hidden spot.

The finding implies that our brains produce the same pattern to track where we and other people are in a shared environment.

Why is this important?

Everyday activities require us to constantly navigate around other people in the same place. Consider choosing the shortest airport security line, searching for a space in a crowded parking lot or avoiding bumping into someone on the dance floor."

Nanthia Suthana, Assistant Professor of Psychology, UCLA's College of Letters and Science and Assistant Professor of Bioengineering, Henry Samueli School of Engineering

In a secondary finding, the UCLA team discovered that what we pay attention to may influence how our brains map out a location. For example, the patients' brain waves flowed stronger when they searched for the hidden spot - or witnessed another person approach the location - than when they simply explored the room.

"Our results support the idea that, under certain mental states, this pattern of brain waves may help us recognize boundaries," said Stangl. "In this case, it was when people were focused on a goal and hunting for something."

Future studies will explore how people's brain patterns react in more complex social situations, including outside the laboratory. The UCLA team has made the backpack available to other researchers to accelerate discoveries about the brain and brain disorders.

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Study reveals how our brains track where we and others go - News-Medical.Net

Immersive VR can enhance the pain-relieving effectiveness of spinal cord stimulation – News-Medical.Net

For patients receiving spinal cord stimulation (SCS) for chronic pain, integration with an immersive virtual reality (VR) system - allowing patients to see as well as feel the effects of electrical stimulation on a virtual image of their own body - can enhance the pain-relieving effectiveness of SCS, reports a study in PAIN, the official publication of the International Association for the Study of Pain (IASP). The journal is published in the Lippincott portfolio by Wolters Kluwer.

The integrated SCS-VR approach improves pain control over SCS alone, with fast-acting and long-lasting effects that may increase with repeated use, according to the new collaborative research by Olaf Blanke, MD, of Ecole polytechnique fdrale de Lausanne (EPFL), Geneva, Switzerland, Ali Rezai, MD, of West Virginia University Rockefeller Neuroscience Institute, and Vibhor Krishna MD, PhD, of the Ohio State University and their colleagues. "To our knowledge this study shows, for the first time that it is possible to integrate immersive and multisensory VR with spinal neuromodulation and reduce chronic pain," the researchers write.

Drs. Blanke, Rezai, Krishna and their team tested their integrated SCS-VR "digiceutical" method in 15 patients with chronic leg pain. All patients already had SCS implants for chronic leg pain, in most cases related to failed back surgery syndrome.

Spinal cord stimulation uses mild electrical impulses to interrupt pain signals before they reach the brain. While SCS is an effective and increasingly common treatment for chronic pain, it has limitations: stimulation reduces pain in only about half of patients and rarely eliminates pain completely.

Previous studies have shown that immersive and embodied VR - integrating an image of the patient's body or avatar into a 3D scene viewed in a VR headset - may have pain-relieving properties. The new approach integrates SCS with VR for the first time, allowing patients to "see" and "feel" the effect of SCS on a real-time virtual image of their own body or avatar. The stimulated area of the patient's virtual leg as shown in VR "lit up" when the electrical current was on.

For example, if the right thigh tingled during SCS, the same area of the patient's virtual thigh was illuminated in VR. In the new study, pain scores with integrated SCS-VR were compared with VR alone, with SCS turned off; and with "incongruent" SCS-VR, with SCS turned on but a different area of the virtual scene illuminated.

The results showed lower pain ratings when integrated SCS-VR was used. Average pain score (on a continuous visual analog scale) decreased from 6.2 before treatment to 2.72 with "congruent" SCS-VR - when the stimulated area of the leg "lit up" during SCS. Pain scores decreased by an average of 44 percent with congruent SCS-VR, compared to 23 percent with incongruent SCS-VR. Virtual reality alone had little or no effect on pain scores.

All but 1 of the 15 patients had reduced pain scores during SCS-VR. Importantly and in contrast to the control conditions, the effect lasted for at least ten minutes after SCS was turned off; repeated applications of SCS-VR had larger effects on pain scores. VR-SCS also induced changes in "leg embodiment" - when viewing the VR scene, patients had the impression they were looking at their real legs, and that the illuminated area was actually causing the SCS-induced tingling sensation.

The immersive, personalized SCS-VR approach "combines neuromodulation, VR, and the latest research from cognitive neuroscience of multisensory integration into a single therapeutic solution," the researchers write. Integrated VR is a "completely noninvasive" addition to SCS, with the potential to increase its pain-relieving effectiveness with no adverse effects.

It's not entirely clear how immersive VR increases the effect of SCS, but the new results show that it's not just an effect of distraction. The matching visual and tactile signals may result in "enhanced masking" of pain inputs, Dr. Blanke, Rezai, Krishna and colleagues suggest. They conclude: "The strength of the effect, its selectivity, its ease of application, and consistent increase across sessions and long-term analgesia will facilitate the application of prolonged and more frequent therapy doses in future SCS-VR studies, likely further boosting the described effects."

Source:

Journal reference:

Solc, M., et al. (2020) Enhancing analgesic spinal cord stimulation for chronic pain with personalized immersive virtual reality. PAIN. doi.org/10.1097/j.pain.0000000000002160.

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Immersive VR can enhance the pain-relieving effectiveness of spinal cord stimulation - News-Medical.Net

Positive Alzheimer’s Data; Comatose With COVID; Race, Dementia, and the NFL – MedPage Today

Masitinib, a tyrosine kinase inhibitor targeting mast cells and macrophages, showed significant effects on both cognition and daily activity as adjunctive treatment in a phase IIb/III study of mild to moderate Alzheimer's patients, drug maker AB Science said.

The protein YKL-40 linked Alzheimer's disease to circadian rhythm dysfunction, suggesting it could be targeted to reduce Alzheimer's progression. (Science Translational Medicine)

A case series looked at ICU patients with severe COVID-19 who remained in prolonged comatose states after sedatives were stopped. (Neurology)

The S1 protein of SARS-CoV-2 readily crossed the bloodbrain barrier in male mice. (Nature Neuroscience)

Masks change the way people perceive faces. (Scientific Reports)

Johns Hopkins researchers issued a report to help federal, state, and local policymakers reduce opioid overdose deaths during the COVID-19 pandemic.

Brain volume may affect the effectiveness of deep brain stimulation in Parkinson's disease patients. (Scientific Reports)

A chartbased delirium detection tool improved diagnostic accuracy when used with routine delirium screening tools. (Journal of the American Geriatrics Society)

Sleeponset latency predicted 7year cognitive change in middle-age to older Hispanic/Latino adults. (Alzheimer's & Dementia)

Researchers took aim at the National Football League for using race norms to adjust cognitive scores of retired Black NFL players, thus denying them compensation for dementia-related settlement claims. (JAMA Neurology)

The "patience, love, and devotion" of Alzheimer's care, documented by a photographer in Iran. (STAT)

Judy George covers neurology and neuroscience news for MedPage Today, writing about brain aging, Alzheimers, dementia, MS, rare diseases, epilepsy, autism, headache, stroke, Parkinsons, ALS, concussion, CTE, sleep, pain, and more. Follow

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Positive Alzheimer's Data; Comatose With COVID; Race, Dementia, and the NFL - MedPage Today

Immersive virtual reality boosts the effectiveness of spinal cord stimulation for chronic pain – Newswise

Newswise December 23, 2020 For patients receiving spinal cord stimulation (SCS) for chronic pain, integration with an immersive virtual reality (VR) system allowing patients to see as well as feel the effects of electrical stimulation on a virtual image of their own body can enhance the pain-relieving effectiveness of SCS, reports a study in PAIN, the official publication of the International Association for the Study of Pain (IASP). The journal is published in the Lippincott portfolio by Wolters Kluwer.

The integrated SCS-VR approach improves pain control over SCS alone, with fast-acting and long-lasting effects that may increase with repeated use, according to the new collaborative research by Olaf Blanke, MD, of Ecole polytechnique fdrale de Lausanne (EPFL), Geneva, Switzerland, Ali Rezai, MD, of West Virginia University Rockefeller Neuroscience Institute, and Vibhor Krishna MD, PhD, of the Ohio State University and their colleagues. To our knowledge this study shows, for the first time that it is possible to integrate immersive and multisensory VR with spinal neuromodulation and reduce chronic pain, the researchers write.

Integrated SCS-VR puts patients in the picture to help control chronic pain

Drs. Blanke, Rezai, Krishna and their team tested their integrated SCS-VR digiceutical method in 15 patients with chronic leg pain. All patients already had SCS implants for chronic leg pain, in most cases related to failed back surgery syndrome.

Spinal cord stimulation uses mild electrical impulses to interrupt pain signals before they reach the brain. While SCS is an effective and increasingly common treatment for chronic pain, it has limitations: stimulation reduces pain in only about half of patients and rarely eliminates pain completely.

Previous studies have shown that immersive and embodied VR integrating an image of the patients body or avatar into a 3D scene viewed in a VR headset may have pain-relieving properties. The new approach integrates SCS with VR for the first time, allowing patients to see and feel the effect of SCS on a real-time virtual image of their own body or avatar. The stimulated area of the patients virtual leg as shown in VR lit up when the electrical current was on.

For example, if the right thigh tingled during SCS, the same area of the patients virtual thigh was illuminated in VR. In the new study, pain scores with integrated SCS-VR were compared with VR alone, with SCS turned off; and with incongruent SCS-VR, with SCS turned on but a different area of the virtual scene illuminated.

The results showed lower pain ratings when integrated SCS-VR was used. Average pain score (on a continuous visual analog scale) decreased from 6.2 before treatment to 2.72 with congruent SCS-VR when the stimulated area of the leg lit up during SCS. Pain scores decreased by an average of 44 percent with congruent SCS-VR, compared to 23 percent with incongruent SCS-VR. Virtual reality alone had little or no effect on pain scores.

All but 1 of the 15 patients had reduced pain scores during SCS-VR. Importantly and in contrast to the control conditions, the effect lasted for at least ten minutes after SCS was turned off; repeated applications of SCS-VR had larger effects on pain scores. VR-SCS also induced changes in leg embodiment when viewing the VR scene, patients had the impression they were looking at their real legs, and that the illuminated area was actually causing the SCS-induced tingling sensation.

The immersive, personalized SCS-VR approach combines neuromodulation, VR, and the latest research from cognitive neuroscience of multisensory integration into a single therapeutic solution, the researchers write. Integrated VR is a completely noninvasive addition to SCS, with the potential to increase its pain-relieving effectiveness with no adverse effects.

Its not entirely clear how immersive VR increases the effect of SCS, but the new results show that its not just an effect of distraction. The matching visual and tactile signals may result in enhanced masking of pain inputs, Dr. Blanke, Rezai, Krishna and colleagues suggest. They conclude: [T]he strength of the effect, its selectivity, its ease of application, and consistent increase across sessions and long-term analgesia will facilitate the application of prolonged and more frequent therapy doses in future SCS-VR studies, likely further boosting the described effects.

Click here to read Enhancing analgesic spinal cord stimulation for chronic pain with personalized immersive virtual reality.

DOI: 10.1097/j.pain.0000000000002160

###

About PAIN

PAIN is IASP's official journal. Published monthly, PAIN presents original research on the nature, mechanisms, and treatment of pain. Available to IASP members as a membership benefit, this peer-reviewed journal provides a forum for the dissemination of multidisciplinary research in the basic and clinical sciences. It is cited in Current Contents and Index Medicus.

About the International Association for the Study of Pain

IASP is the leading professional organization for science, practice, and education in the field of pain. Membership is open to all professionals involved in research, diagnosis, or treatment of pain. IASP has more than 7,000 members in 133 countries, 90 national chapters, and 20 special interest groups (SIGs). IASP brings together scientists, clinicians, health-care providers, and policymakers to stimulate and support the study of pain and translate that knowledge into improved pain relief worldwide.

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Immersive virtual reality boosts the effectiveness of spinal cord stimulation for chronic pain - Newswise

Post-doctoral Fellow in Laboratory of Neuropsychology and Human Neuroscience job with THE UNIVERSITY OF HONG KONG | 239264 – Times Higher Education…

Work type: Full-timeDepartment: Department of Psychology (30200)Categories: Academic-related Staff

Applications are invited for appointment as Post-doctoral Fellow in Laboratory of Neuropsychology and Human Neuroscience in the Department of Psychology (Ref.: 502876), to commence as soon as possible for two years, with the possibility of renewal subject to satisfactory performance and funding availability.

The labs research focuses on the cognitive and affective networks and mechanisms that regulate adaptive and maladaptive human behaviours. We integrated neuroimaging, computational modeling, and behavioral research methodologies to address the research aims.

Candidates should have a Ph.D. in psychology, neuroscience, or a related field and experience in any of the following areas: advanced neuroimaging/neurophysiological (EEG) techniques and/or computational modelling techniques. Candidates should have a strong interest in experimental research and demonstrated scientific expertise and excellent writing skills by publications in refereed journals. Knowledge and experience with advanced statistical techniques, database management, solid programming skills, and computational modelling are desirable.

Duties will include participation in laboratory administration, project management and implementation, data management, analysis, and manuscript/grant preparation. Publication opportunities and collaborative research opportunities are available. The fellow will also have opportunities to provide mentorship, collaborate with doctoral students, and supervise junior research students/staffs research projects. For more information about the position, please contact Professor Tatia Lee at tmclee@hku.hk.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V., and provide the name of two referees on the online application form. Review of applications will commence immediately and continue untilMarch 31, 2021, or until the post is filled, whichever is earlier.

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Post-doctoral Fellow in Laboratory of Neuropsychology and Human Neuroscience job with THE UNIVERSITY OF HONG KONG | 239264 - Times Higher Education...

AI provides clues to understand how we think – Baylor College of Medicine News

Until now there has been no method to measure thoughts. Neuroscientists have been interested in analyzing the brain computations underlying this complex activity because it can help them understand how the brain produces complex behavior and provide new perspectives on neurological conditions

A team led by researchers at Baylor College of Medicine and Rice University has developed artificial intelligence (AI) models that open a window into the brain activity behind thoughts. The researchers first developed a new model that can estimate thoughts by evaluating behavior, and then tested their model on a trained artificial brain where they found neural activity associated with those estimates of thoughts.

For centuries, neuroscientists have studied how the brain works by relating brain activity to inputs and outputs. For instance, when studying the neuroscience of movement, scientists measure muscle movements as well as neuronal activity, and then relate those two measurements, said corresponding author Dr. Xaq Pitkow, assistant professor of neuroscience at Baylor and of electrical and computer engineering at Rice. To study cognition in the brain, however, we dont have anything to compare the measured neural activity to.

To understand how the brain gives rise to thought, researchers first need to measure a thought. They developed a method called Inverse Rational Control that looks at a behavior and infers the beliefs or thoughts that best explain that behavior.

Traditionally, researchers in this field have worked with the idea that animals solve tasks optimally, behaving in a way that maximizes their net benefits. But when scientists study animal behavior, they find that this is not always the case.

Sometimes animals have wrong beliefs or assumptions about whats going on in their environment, but still they try to find the best long-term outcomes for their task, given what they believe is going on around them. This could account for why animals seem to behave suboptimally, said Pitkow, who also is a McNair Scholar at Baylor, co-director of Baylors Center for Neuroscience and Artificial Intelligence and member of the Rice Neuroengineering Initiative.

For example, consider an animal that is hunting and hears many noises it associates with prey. If one potential prey is making all the noises, the optimal behavior for the hunter is to consistently target its movements to a single noise. If the hunter mistakenly believes the noises are coming from many different animals, it may choose a suboptimal behavior, like constantly scanning its surroundings to try and pinpoint one of them. By acting according to its belief or assumption that there are many potential prey nearby, the hunter is behaving in a way that is simultaneously rational and suboptimal.

In the second part of the work, Pitkow and his colleagues developed a model to relate the thoughts that were identified using the Inverse Rational Control method to brain activity.

We can look at the dynamics of the modeled thoughts and at the dynamics of the brains representations of those thoughts. If those dynamics run parallel to each other, then we have confidence that we are capturing the aspects of the brain computations involved in those thoughts, Pitkow said.

This theoretical study appears in the Proceedings of the National Academy of Sciences.

Other contributors to this work include Zhengwei Wu, Minhae Kwon, Saurabh Daptardar and Paul Schrater. The authors are affiliated with one or more of the following institutions: Baylor College of Medicine, Rice University, Soongsil University, Google Maps, and the University of Minnesota.

This work was supported in part by in part by BRAIN Initiative grant NIH 5U01NS094368, an award from the McNair Foundation, the Simons Collaboration on the Global Brain award 324143, the National Science Foundation award 1450923 BRAIN 43092 and NSF CAREER Award IOS-1552868.

By Ana Mara Rodrguez, Ph.D.

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AI provides clues to understand how we think - Baylor College of Medicine News