Category Archives: Neuroscience

Active Aging: Exercise and Social Life Shield Brain Health – Neuroscience News

Summary: Researchers uncovered the protective effects of physical and social activities on brain health in older adults.

Analyzing data from a 12-year longitudinal study, researchers focused on the entorhinal cortex, vital for learning and memory and vulnerable in Alzheimers disease. They found that increased physical and social activity slowed the thinning of the entorhinal cortex and, consequently, memory decline over seven years.

This research underscores the importance of an active lifestyle in preserving brain health and cognitive function in old age.

Key Facts:

Source: University of Zurich

Physical exercise is associated with a variety of positive health aspects. Numerous studies have shown that regular physical activity has a preventive effect on cardiovascular diseases, diabetes, cancer, high blood pressure and obesity.

But how do various leisure activities physical, social and cognitive affect brain health in old age?

A team of researchers from the University Research Priority Program Dynamics of Healthy Aging and from the Healthy Longevity Center of the University of Zurich (UZH) decided to investigate this question.

To this end, they examined data from a comprehensive longitudinal study on brain development and behavior in old age. The longitudinal study was set in motion 12 years ago by Lutz Jncke, meanwhile professor emeritus at UZH, who continues to supervise the project together with co-lead Susan Mrillat.

The aim of the current research was to investigate the relationships between the thickness of the entorhinal cortex, memory performance and leisure activities in cognitively healthy adults over the age of 65, for a period of seven years.

Exercise and social activity slow down neurodegeneration

The entorhinal cortex, approximately 3.5 millimeters thick, is part of the cerebral cortex in the inner part of the temporal lobe and plays a key role in learning and memory. It is also one of the brain regions that is affected early on in the development of Alzheimers disease.

Our findings show that in people who were more physically and socially active at the beginning of the study, the thickness of their entorhinal cortex decreased less over the seven-year period, says neuropsychologist Jncke.

The researchers also found that the thickness of the entorhinal cortex is closely linked to memory performance. The less the thickness of this brain structure decreased over the course of the study, the less memory performance was reduced.

Physical exercise and an active social life with friends and family are therefore important for brain health and can prevent neurodegeneration in later life, says Jncke.

Brain can be trained like a muscle

It was also shown that higher memory performance at the beginning of the study was associated with a lower decline in memory performance over the course of the study.

These findings support the idea that we have a cognitive reserve, and that the brain can be trained throughout our lives like a muscle to counteract age-related decline, says Isabel Hotz, one of the two first authors alongside Pascal Deschwanden.

In other words, it pays to be physically, mentally and socially active throughout our lives, including in later life.

Fortunately, many older people in Switzerland already seem to be living by this credo: according to the Swiss Health Survey conducted by the Swiss Federal Statistical Office in 2022, around three quarters of people over 65 get the recommended amount of physical exercise in their daily lives.

Author: Kurt Bodenmueller Source: University of Zurich Contact: Kurt Bodenmueller University of Zurich Image: The image is credited to Neuroscience News

Original Research: Open access. Associations between white matter hyperintensities, lacunes, entorhinal cortex thickness, declarative memory and leisure activity in cognitively healthy older adults: A 7-year study by Lutz Jncke et al. NeuroImage

Abstract

Associations between white matter hyperintensities, lacunes, entorhinal cortex thickness, declarative memory and leisure activity in cognitively healthy older adults: A 7-year study

Cerebral small vessel disease (cSVD) is a growing epidemic that affects brain health and cognition. Therefore, a more profound understanding of the interplay between cSVD, brain atrophy, and cognition in healthy aging is of great importance.

In this study, we examined the association between white matter hyperintensities (WMH) volume, number of lacunes, entorhinal cortex (EC) thickness, and declarative memory in cognitively healthy older adults over a seven-year period, controlling for possible confounding factors.

Because there is no cure for cSVD to date, the neuroprotective potential of an active lifestyle has been suggested. Supporting evidence, however, is scarce. Therefore, a second objective of this study is to examine the relationship between leisure activities, cSVD, EC thickness, and declarative memory.

We used a longitudinal dataset, which consisted of five measurement time points of structural MRI and psychometric cognitive ability and survey data, collected from a sample of healthy older adults (baselineN=231, age range: 6487 years, ageM=70.8 years), to investigate associations between cSVD MRI markers, EC thickness and verbal and figural memory performance.

Further, we computed physical, social, and cognitive leisure activity scores from survey-based assessments and examined their associations with brain structure and declarative memory. To provide more accurate estimates of the trajectories and cross-domain correlations, we applied latent growth curve models controlling for potential confounders.

Less age-related thinning of the right (=0.92,p<.05) and left EC (=0.82,p<.05) was related to less declarative memory decline; and a thicker EC at baseline predicted less declarative memory loss (=0.54,p<.05). Higher baseline levels of physical (=0.24,p<.05), and social leisure activity (=0.27,p<.01) predicted less thinning of right EC. No relation was found between WMH or lacunes and declarative memory or between leisure activity and declarative memory.

Higher education was initially related to more physical activity (=0.16,p<.05) and better declarative memory (=0.23,p<.001), which, however, declined steeper in participants with higher education (=.35,p<.05). Obese participants were less physically (=.18,p<.01) and socially active (=.13,p<.05) and had thinner left EC (=.14,p<.05) at baseline.

Antihypertensive medication use (=.26,p<.05), and light-to-moderate alcohol consumption (=.40,p<.001) were associated with a smaller increase in the number of lacunes whereas a larger increase in the number of lacunes was observed in current smokers (=0.30,p<.05).

Our results suggest complex relationships between cSVD MRI markers (total WMH, number of lacunes, right and left EC thickness), declarative memory, and confounding factors such as antihypertensive medication, obesity, and leisure activity.

Thus, leisure activities and having good cognitive reserve counteracting this neurodegeneration. Several confounding factors seem to contribute to the extent or progression/decline of cSVD, which needs further investigation in the future.

Since there is still no cure for cSVD, modifiable confounding factors should be studied more intensively in the future to maintain or promote brain health and thus cognitive abilities in older adults.

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Active Aging: Exercise and Social Life Shield Brain Health - Neuroscience News

A framework in your brain for organising the order of things – EurekAlert

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May-Britt Moser, Soledad Gonzalo Cogno and Edvard Moser. Photo: Kavli Institute for Systems Neuroscience, NTNU

Credit: Photo: Kavli Institute for Systems Neuroscience, NTNU

Scientists at NTNUs Kavli Institute for Systems Neuroscience in Norway have discovered a pattern of activity in the brain that can serveas a template for building sequential experiences.

I believe we have found one of the brains prototypes for building sequences says Professor Edvard Moser.He describes the activity pattern as a fundamental algorithm that is intrinsic to the brain and independent of experience.

The breakthrough discovery was published in Nature 20. December 2023.

The ability to organise elements into sequences is a fundamental biological function essential for our survival. Without it, we would not be able to communicate, to keep track of time, to find our way, or even remember what we are in the process of doing. The world would cease to present itself to us in meaningful experiences, as every event would be fragmented into an erratic series of random happenings.The NTNU researchers discovery of a rigid sequence pattern in the brain provides new insights into how we organise experiences into a temporal order.

Have you ever heard memories described as snapshots? That is not a very faithful description, according to Professor Edvard Moser. It is more helpful to think of memories as videos, he says.All your experiences in the world extend over time, says Professor May-Britt Moser. One thing happens, then another thing, then a third.Your brain has the remarkable ability to mentally capture and organise selected events into the chronological order in which they occurred, and to link them together as meaningful experiences. This sequence building activity takes place on the timescale in which you interact in the situation. When you recall this memory, the process of reliving the sequence of events in your mind also takes time.How is the brain able to generate and store all these unique and lengthy sequences of information on the fly?, asks Edvard Moser. There has to exist a foundational mechanism for sequence formation there.There is a mismatch in neuroscience between the timescales at which brain activity is typically studied, in the millisecond regime, and the timescales at which many of our most important brain functions occur, in the tens of seconds to several minutes range, says Soledad Gonzalo Cogno, Kavli Research Group Leader and first author of the paper, expanding on the motivation behind this study.The team set out to identify this fundamental mechanism for sequence formation, which occurs on very slow timescales, like most of our brain functions do.

To uncover how neurons coordinate at the slow timescales at which many of our brain functions unfold, the Kavli researchers focused on the medial entorhinal cortex (MEC), a brain area that supports brain functions that depend on sequence formation, such as navigation and episodic memory, which unfold very slowly in time.The sheer volume of information about the outside world being processed in the brain at any one time posed a challenge to the pursuit. Any baseline signal from structured and recurrent neural algorithms would risk drowning in the noise of incoming experience.To get around this, the researchers created an experimental environment that was almost devoid of sensory inputs. They let a mouse run in complete darkness, with no task to complete and no reward to earn. The mouse could run or rest as it pleased, for as long as the session lasted.At the same time, the researchers recorded what was happening in the entorhinal cortex of the mouses brain while its orchestra of nerve cells remained in this soft-spoken standby position.

This is what we found, says Soledad Gonzalo Cogno, pointing to a zebra-striped figure in front of her.The pattern is made up of thousands of dots clustered together. Each dot is a neural signal. We can see that the neural activity moves through all the cells from bottom to top along the Y-axis as time progresses along the X-axis. The clustering tells us that the activity is coordinated as waves running through the network, like rhythms in a symphony. The sequences are ultra-slow, meaning that it takes two minutes for the wave to travel through the neural network, before the whole process repeats again, sometimes for as long as the duration of the test session, over periods of up to an hour.The figure shows several hundred mouse entorhinal cortex neurons oscillating at ultra-slow frequencies, spanning time windows ranging from tens of seconds to several minutes. The dynamic that excited the researchers even more is that as each cell oscillates, the cells also organise themselves into sequences, with cell A firing before cell B, cell B firing before cell C, and so on, until they have completed a full loop and return to cell A, where the cycle repeats. This highly structured activity overlaps with the timescale of events that we encode into our memories and provides the perfect template for building the sequential structure that forms the basis of episodic memories.These waves of coordinated activity did not travel in a straight line from one end of the brain tissue to the other. Instead, the waves travel along the thin synaptic connections between cells that talk to each other in the network. Cells can talk to other cells far away as well as to their nearest neighbours. The anatomical tangle makes it difficult to see coordinated activity with the naked eye without first having located the cells from the raster plot.

This video illustrates this.

The zebra-striped raster plot shows the slow waves of activity through the whole network over a period of time.If you fold the raster plot into a tube, so that the top and the bottom of the figure overlap, you will see that the diagonal stripes connect to form a coherent spiral, explains May-Britt Moser. The spiral represents the network activity over time.If you rotate the spiral by 90 degrees, you will see a ring. All the cells in the network have their set time to fire, distributed across the surface of this ring. The signal travels through the entire ring structure before returning to the same cell.This ring is a signature for coordination patterns in the form of repetitive sequences, which is what we found in the MEC, says Soledad Gonzalo Cogno. Other brain areas have different coordination patterns.Your brain may already be equipped with this ring before you experience anything in this world. It is acquired through evolution and may be specified in our genesWhat excites me most about this discovery is the prospect that these sequences may open up for new ways of understanding the brain, says Gonzalo Cogno. The discoveries that follow may challenge the way we think about coordination throughout the brain. Cells that are so different still seem to be coordinated and work together on different timescales.

Experimental study

Animals

Minute-scale oscillatory sequences in medial entorhinal cortex

20-Dec-2023

The authors declare that they have no competing financial interests.

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

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Alzheimers Alters COVID-19 Response in Olfactory Cells – Neuroscience News

Summary: Researchers uncovered how Alzheimers Disease (AD) impacts COVID-19 outcomes through changes in the olfactory mucosal cells. Their study focused on individuals with AD who experienced exacerbated COVID-19 symptoms.

Using an advanced 3D in vitro model of the olfactory mucosa, the research revealed that while initial infection rates were similar between healthy individuals and those with AD, the latter showed altered gene activities post-infection, indicating heightened oxidative stress and immune response changes.

This study provides crucial insights into the interplay between COVID-19 and AD, particularly through the olfactory system.

Key Facts:

Source: University of Eastern Finland

A new study identifies alterations in the transcriptomic signatures in human olfactory mucosal cells of individuals with Alzheimers disease following SARS-CoV-2 infection, potentially contributing to exacerbated COVID-19 outcomes.

The study was conducted at the University of Eastern Finland in collaboration with the University of Helsinki and published inJournal of Neuroinflammation.

The study was prompted by concerns about the impact of COVID-19 on individuals with pre-existing conditions such as Alzheimers disease (AD). Olfactory dysfunction, characterized by an impaired sense of smell, is commonly associated with COVID-19 and is also observed in persons with AD.

Exploring the olfactory mucosa as a direct interface between the external environment and the brain, the research aimed to investigate the interaction between SARS-CoV-2 infection and AD within the olfactory mucosa , assessing the potential for this tissue to serve as a plausible entry route for the virus into the brain.

Employing an innovative 3D in vitro model of the olfactory mucosa, the study utilized primary cells obtained from voluntary donors, including both cognitively healthy individuals and those diagnosed with AD.

These cells were cultivated at the air-liquid interface (ALI), a technique providing a controlled environment that closely mimics physiological conditions. The collection of olfactory mucosal biopsies was conducted collaboratively with Kuopio University Hospital.

This multidisciplinary research integrated expertise from molecular and cellular biology, neurology, and virology to investigate the effects of various SARS-CoV-2 variants on the olfactory mucosa.

Distinct immune responses after infection between AD patients and healthy individuals

Contrary to expectations, cells derived from healthy individuals and those with AD exhibited comparable susceptibility to infection by SARS-CoV-2 virus, indicating no significant difference in initial infection rates between the two groups.

However, a significant contrast emerged in the gene activity of infected cells from individuals with AD. Their cells displayed heightened oxidative stress, altered immune responses, and substantial changes in genes related to olfaction when compared to olfactory mucosal cells from cognitively healthy individuals.

The results suggest a plausible scenario where individuals affected by AD might face potentially more severe COVID-19 outcomes due to pre-existing inflammation in the olfactory mucosa, says Ali Shahbaz, a doctoral researcher in Professor Katja Kanninens research group at the University of Eastern Finland and the first author of the study.

The present study represents a pivotal advancement in understanding the intricate interplay between COVID-19 and AD.

Funding: The study was funded by the Academy of Finland.

Author: Ulla Kaltiala Source: University of Eastern Finland Contact: Ulla Kaltiala University of Eastern Finland Image: The image is credited to Neuroscience News

Original Research: Open access. Human-derived airliquid interface cultures decipher Alzheimers diseaseSARS-CoV-2 crosstalk in the olfactory mucosa by Katja Kanninen et al. Journal of Neuroinflammation

Abstract

Human-derived airliquid interface cultures decipher Alzheimers diseaseSARS-CoV-2 crosstalk in the olfactory mucosa

The neurological effects of the coronavirus disease of 2019 (COVID-19) raise concerns about potential long-term consequences, such as an increased risk of Alzheimers disease (AD). Neuroinflammation and other AD-associated pathologies are also suggested to increase the risk of serious SARS-CoV-2 infection. Anosmia is a common neurological symptom reported in COVID-19 and in early AD. The olfactory mucosa (OM) is important for the perception of smell and a proposed site of viral entry to the brain. However, little is known about SARS-CoV-2 infection at the OM of individuals with AD.

To address this gap, we established a 3D in vitro model of the OM from primary cells derived from cognitively healthy and AD individuals. We cultured the cells at the airliquid interface (ALI) to study SARS-CoV-2 infection under controlled experimental conditions. Primary OM cells in ALI expressed angiotensin-converting enzyme 2 (ACE-2), neuropilin-1 (NRP-1), and several other known SARS-CoV-2 receptor and were highly vulnerable to infection. Infection was determined by secreted viral RNA content and confirmed with SARS-CoV-2 nucleocapsid protein (NP) in the infected cells by immunocytochemistry. Differential responses of healthy and AD individuals-derived OM cells to SARS-CoV-2 were determined by RNA sequencing.

Results indicate that cells derived from cognitively healthy donors and individuals with AD do not differ in susceptibility to infection with the wild-type SARS-CoV-2 virus. However, transcriptomic signatures in cells from individuals with AD are highly distinct. Specifically, the cells from AD patients that were infected with the virus showed increased levels of oxidative stress, desensitized inflammation and immune responses, and alterations to genes associated with olfaction. These results imply that individuals with AD may be at a greater risk of experiencing severe outcomes from the infection, potentially driven by pre-existing neuroinflammation.

The study sheds light on the interplay between AD pathology and SARS-CoV-2 infection. Altered transcriptomic signatures in AD cells may contribute to unique symptoms and a more severe disease course, with a notable involvement of neuroinflammation. Furthermore, the research emphasizes the need for targeted interventions to enhance outcomes for AD patients with viral infection. The study is crucial to better comprehend the relationship between AD, COVID-19, and anosmia. It highlights the importance of ongoing research to develop more effective treatments for those at high risk of severe SARS-CoV-2 infection.

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Deep neural networks show promise as models of human hearing – Freethink

Computational models that mimic the structure and function of the human auditory system could help researchers design better hearing aids, cochlear implants, and brain-machine interfaces. A new study from MIT has found that modern computational models derived from machine learning are moving closer to this goal.

In the largest study yet of deep neural networks that have been trained to perform auditory tasks, the MIT team showed that most of these models generate internal representations that share properties of representations seen in the human brain when people are listening to the same sounds.

The study also offers insight into how to best train this type of model: The researchers found that models trained on auditory input including background noise more closely mimic the activation patterns of the human auditory cortex.

What sets this study apart is it is the most comprehensive comparison of these kinds of models to the auditory system so far. The study suggests that models that are derived from machine learning are a step in the right direction, and it gives us some clues as to what tends to make them better models of the brain, says Josh McDermott, an associate professor of brain and cognitive sciences at MIT, a member of MITs McGovern Institute for Brain Research and Center for Brains, Minds, and Machines, and the senior author of the study.

MIT graduate student Greta Tuckute and Jenelle Feather PhD 22 are the lead authors of the open-accesspaper, which appears today inPLOS Biology.

Deep neural networks are computational models that consists of many layers of information-processing units that can be trained on huge volumes of data to perform specific tasks. This type of model has become widely used in many applications, and neuroscientists have begun to explore the possibility that these systems can also be used to describe how the human brain performs certain tasks.

These models that are built with machine learning are able to mediate behaviors on a scale that really wasnt possible with previous types of models, and that has led to interest in whether or not the representations in the models might capture things that are happening in the brain, Tuckute says.

When a neural network is performing a task, its processing units generate activation patterns in response to each audio input it receives, such as a word or other type of sound. Those model representations of the input can be compared to the activation patterns seen in fMRI brain scans of people listening to the same input.

In 2018, McDermott and then-graduate student Alexander Kellreportedthat when they trained a neural network to perform auditory tasks (such as recognizing words from an audio signal), the internal representations generated by the model showed similarity to those seen in fMRI scans of people listening to the same sounds.

Since then, these types of models have become widely used, so McDermotts research group set out to evaluate a larger set of models, to see if the ability to approximate the neural representations seen in the human brain is a general trait of these models.

For this study, the researchers analyzed nine publicly available deep neural network models that had been trained to perform auditory tasks, and they also created 14 models of their own, based on two different architectures. Most of these models were trained to perform a single task recognizing words, identifying the speaker, recognizing environmental sounds, and identifying musical genre while two of them were trained to perform multiple tasks.

When the researchers presented these models with natural sounds that had been used as stimuli in human fMRI experiments, they found that the internal model representations tended to exhibit similarity with those generated by the human brain. The models whose representations were most similar to those seen in the brain were models that had been trained on more than one task and had been trained on auditory input that included background noise.

If you train models in noise, they give better brain predictions than if you dont, which is intuitively reasonable because a lot of real-world hearing involves hearing in noise, and thats plausibly something the auditory system is adapted to, Feather says.

The new study also supports the idea that the human auditory cortex has some degree of hierarchical organization, in which processing is divided into stages that support distinct computational functions. As in the 2018 study, the researchers found that representations generated in earlier stages of the model most closely resemble those seen in the primary auditory cortex, while representations generated in later model stages more closely resemble those generated in brain regions beyond the primary cortex.

Additionally, the researchers found that models that had been trained on different tasks were better at replicating different aspects of audition. For example, models trained on a speech-related task more closely resembled speech-selective areas.

Even though the model has seen the exact same training data and the architecture is the same, when you optimize for one particular task, you can see that it selectively explains specific tuning properties in the brain, Tuckute says.

McDermotts lab now plans to make use of their findings to try to develop models that are even more successful at reproducing human brain responses. In addition to helping scientists learn more about how the brain may be organized, such models could also be used to help develop better hearing aids, cochlear implants, and brain-machine interfaces.

A goal of our field is to end up with a computer model that can predict brain responses and behavior. We think that if we are successful in reaching that goal, it will open a lot of doors, McDermott says.

The research was funded by the National Institutes of Health, an Amazon Fellowship from the Science Hub, an International Doctoral Fellowship from the American Association of University Women, an MIT Friends of McGovern Institute Fellowship, a fellowship from theK. Lisa Yang Integrative Computational Neuroscience (ICoN) Center at MIT,and a Department of Energy Computational Science Graduate Fellowship.

Republished with permission ofMIT News. Read theoriginal article.

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Deep neural networks show promise as models of human hearing - Freethink

Integrating research and clinical care to uncover secrets of brain development – EurekAlert

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Large chains of migrating cells forming braided streams break down into a shower of young migrating neurons that continue to integrate into the entorhinal cortex and neighboring regions until 2-3 years of age.

Credit: Lab of Shawn Sorrell/Pitt

The human brain continues to be built after we are born for far longer than previously recognized, suggests research by Shawn Sorrells, assistant professor of neuroscience inthe Kenneth P. Dietrich School of Arts andSciences. Sorrellss research on postnatal brain development, published today inthe journalNature, shines light on fundamental processes that contribute to the development of important brain functions, such as learning, memory and spatial navigation.

The new research suggests that a subset of inhibitory neurons within the entorhinal cortex, or EC -- an area of the brain essential for forming memories -- continue to migrate into this region where they build new neuronal connections from birth through toddlerhood. The study suggests that extensive postnatal neuronal migration across the EC might underlie critical neuroplasticity periods during which the brain is especially receptive to changes and adaptations. The discovery also points to a possible reason why EC neurons are more susceptible to neurodegeneration, since other recent studies have found that this same type of neuron is impacted early in Alzheimers disease.

By analyzing brain samples that were provided, in part, by the epilepsy tissue bank at UPMC Childrens Hospital and the Neuropathology Department at UPMC Presbyterian Hospital, Sorrells' research team was first to show that, unlike what was previously thought, neuronal migration of such scale and duration is extensive within regions that control thoughts and emotions. The discovery offers an explanation for how the human brain makes billions of new neurons over a very short time span through a mechanism that allows neurons to continue arriving after birth.

It is generally thought that the brain is done recruiting neurons by the time an individual is born, said Sorrells. We were incredibly excited to learn that not only does large-scale neuronal migration continue into specific brain regions, but that this process also continues into ages when children are crawling and beginning to walk.

Imaging analysis

Human tissue samples

Protracted Neuronal Recruitment in the Temporal Lobe of Young Children

20-Dec-2023

A.A.B is a co-founder and is on the Scientific Advisory Board of Neurona Therapeutics. C.J.Y is a Scientific Advisory Board member for and holds equity in Related Sciences and ImmunAI, a consultant for and holds equity in Maze Therapeutics, and a consultant for TReX Bio. C.J.Y. has received research support from Chan Zuckerberg Initiative, Chan Zuckerberg Biohub, and Genentech

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

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Integrating research and clinical care to uncover secrets of brain development - EurekAlert

Fanta and TikTok collaborate to challenge tastebuds with neuroscience experiment – Bizcommunity.com

Fanta has collaborated with TikTok to release the #FantaTikTokExperience an entertaining and innovative experience combining flavour, fun, and cutting-edge technology for TikTok Creators.

The adventure is rooted in fascinating neuroscientific findings that unravel how our senses may influence our perceptions of flavour. Could watching a TikTok video change the perception of the taste of a Fanta flavour? That's precisely what the Fanta set out to discover with this experiment.

"Through our innovative collaboration with TikTok, we have delved into intriguing new facets of sensory perception," says Zainab Mohamed, Fanta senior brand director at Coca-Cola Africa. "The compelling dynamics between our senses have never been more apparent. The power of visuals and sounds may transform the taste experience a revelation that adds a whole new layer of excitement to enjoying Fanta. With TikTok's pulsating platform, we have been able to bring this sensory adventure to life, providing an engaging, immersive, and truly unique experience for our influencers."

To test this phenomenon, TikTok Creators were invited to scan a QR code on limited-edition Fanta cans. Fanta launched a WebAR platform, guiding users through TikTok videos which the creators watched while consuming a limited-edition Fanta beverage, offering a fun and interactive experience. As the creators sipped their Fanta beverage, they were presented with the opportunity to test if they could sense the flavour shifting from fruity to tangy, or even bitter, based on the video they watched.

Prolonging the thrill, an unforgettable live spectacle was hosted at Cape Town's Zeitz MOCAA on 20 December 2023. It took the neuroscientific experiment a step further by serving influencers the limited-edition Fanta beverage, set against a backdrop of distinct sounds and eye-catching visuals.

The event also featured "Reaction Booths", fitted with cameras to record the spontaneous responses of creators as they viewed TikTok videos while savoring the #FantaTikTokExperience. The #FantaTikTokExperience is a testament to Fanta's commitment to providing unique, creative and playful experiences to their audiences. This unique blend of technology, creativity, and sensory exploration breaks new ground, adding a playful twist to enjoying Fanta.

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Fanta and TikTok collaborate to challenge tastebuds with neuroscience experiment - Bizcommunity.com

DeepSouth Supercomputer: Revolutionizing Our Understanding of the Brain – Medriva

Revolutionizing Our Understanding of the Brain

In a significant technological breakthrough, a supercomputer capable of simulating the entire human brain is set to be switched on in 2024. This incredible innovation, named the DeepSouth supercomputer, is expected to revolutionize our understanding of the brain and its functions. The project, spearheaded by Western Sydney University, aims to create a digital replica of the human brain, providing researchers with a groundbreaking tool to study neurological disorders and develop new treatments.

The DeepSouth supercomputer uses a neuromorphic system that emulates biological processes, simulating large networks of spiking neurons at 228 trillion synaptic operations per second. This remarkable system is purpose-built to operate like networks of neurons, requiring less power and enabling greater efficiencies. The supercomputer, to be based at Western Sydney University, is expected to be operational by April 2024.

The implications and potential applications of this technology are vast. It is anticipated that this supercomputer will significantly advance smart devices, sensors for manufacturing and agriculture, and smarter AI applications. Furthermore, the DeepSouth supercomputer will allow researchers to better understand how brains can process massive amounts of information using such little power. This knowledge could potentially lead to the creation of a cyborg brain vastly more powerful than our own, revolutionizing our understanding of how our brains work.

The development of the worlds first human brain-scale supercomputer is considered a game changer for the study of neuroscience. There is widespread interest from researchers studying neuroscience and those who want to prototype new engineering solutions in the AI space. If successful, this project could lead to significant advancements in neuroscience and medical technology, marking a major milestone in the fields of neuroscience and artificial intelligence.

In conclusion, the DeepSouth supercomputer represents a significant leap in our quest to understand and replicate the complex workings of the human brain. The potential benefits of this technology range from a deeper understanding of neurological disorders to advancements in AI applications. As we eagerly await the launch of this supercomputer in 2024, we can only imagine the wealth of insights and breakthroughs that lie ahead in the field of neuroscience and beyond.

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DeepSouth Supercomputer: Revolutionizing Our Understanding of the Brain - Medriva

Revolution in Neuroscience: Wireless Neuron Communication – BNN Breaking

Wireless Communication Between Neurons: A Game-Changer in Neuroscience

In a breakthrough for neuroscience research, scientists have uncovered a novel form of communication between neurons a wireless, or non-synaptic, mode of interaction. This revolutionary discovery challenges the traditional understanding of synaptic communication, where neurons connect via axons and dendrites with neurotransmitters bridging a minuscule gap between them. Synaptic communication, akin to a wired internet connection, maintains a degree of privacy, while this newfound wireless communication allows chemical messengers to traverse more extended distances through the intercellular space, potentially risking message interception.

Contributing significantly to our comprehension of neural communication is the nematode Caenorhabditis elegans (C. elegans). Possessing just over 300 neurons, C. elegans has been fundamental in mapping the connections between neurons, known as the connectome. The first comprehensive connectome was published back in 1986, and most recently, researchers have published an inventory of all wireless connections within C. elegans, particularly those utilizing neuropeptides as chemical messengers.

One research group predicted the wireless connection map based on gene expression within neurons, while another employed optogenetics to examine the impact of activating or deactivating nerve cells on their neighboring cells. These findings suggest a profound departure of the wireless communication network from the synaptic network, underscoring the complexity of the neural communication matrix.

The implications of these findings are far-reaching. They offer a fresh perspective on the functioning of the human nervous system and how diseases or medications might influence it, potentially revolutionizing treatments for neurological disorders and the design of brain-computer interfaces (BCIs). BCIs, systems that enable direct communication between the brain and an external device or computer system, have immense potential in medicine, rehabilitation, and human augmentation. BCIs harness the power of real-time recordings of brain activity for communication and control, allowing individuals to interact with devices using only their thoughts.

Future applications of this research could include the treatment of neurological diseases such as Attention Deficit Hyperactivity Disorder (ADHD), ALS, epilepsy, and stroke, as well as advancements in functional brain mapping and consciousness assessment. As we continue to unravel the mysteries of the brain and its complex communication networks, the possibilities seem endless.

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Revolution in Neuroscience: Wireless Neuron Communication - BNN Breaking

AI’s memory-forming mechanism found to be strikingly similar to that of the brain – EurekAlert

image:

(a) Diagram illustrating the ion channel activity in post-synaptic neurons. AMPA receptors are involved in the activation of post-synaptic neurons, while NMDA receptors are blocked by magnesium ions (Mg) but induce synaptic plasticity through the influx of calcium ions (Ca) when the post-synaptic neuron is sufficiently activated. (b) Flow diagram representing the computational process within the Transformer AI model. Information is processed sequentially through stages such as feed-forward layers, layer normalization, and self-attention layers. The graph depicting the current-voltage relationship of the NMDA receptors is very similar to the nonlinearity of the feed-forward layer. The input-output graph, based on the concentration of magnesium (), shows the changes in the nonlinearity of the NMDA receptors.

Credit: Institute for Basic Science

An interdisciplinary team consisting of researchers from the Center for Cognition and Sociality and the Data Science Group within the Institute for Basic Science (IBS) revealed a striking similarity between the memory processing of artificial intelligence (AI) models and the hippocampus of the human brain. This new finding provides a novel perspective on memory consolidation, which is a process that transforms short-term memories into long-term ones, in AI systems.

In the race towards developing Artificial General Intelligence (AGI), with influential entities like OpenAI and Google DeepMind leading the way, understanding and replicating human-like intelligence has become an important research interest. Central to these technological advancements is the Transformer model [Figure 1], whose fundamental principles are now being explored in new depth.

The key to powerful AI systems is grasping how they learn and remember information. The team applied principles of human brain learning, specifically concentrating on memory consolidation through the NMDA receptor in the hippocampus, to AI models.

The NMDA receptor is like a smart door in your brain that facilitates learning and memory formation. When a brain chemical called glutamate is present, the nerve cell undergoes excitation. On the other hand, a magnesium ion acts as a small gatekeeper blocking the door. Only when this ionic gatekeeper steps aside, substances are allowed to flow into the cell. This is the process that allows the brain to create and keep memories, and the gatekeeper's (the magnesium ion) role in the whole process is quite specific.

The team made a fascinating discovery: the Transformer model seems to use a gatekeeping process similar to the brain's NMDA receptor [see Figure 1]. This revelation led the researchers to investigate if the Transformer's memory consolidation can be controlled by a mechanism similar to the NMDA receptor's gating process.

In the animal brain, a low magnesium level is known to weaken memory function. The researchers found that long-term memory in Transformer can be improved by mimicking the NMDA receptor. Just like in the brain, where changing magnesium levels affect memory strength, tweaking the Transformer's parameters to reflect the gating action of the NMDA receptor led to enhanced memory in the AI model. This breakthrough finding suggests that how AI models learn can be explained with established knowledge in neuroscience.

C. Justin LEE, who is a neuroscientist director at the institute, said, This research makes a crucial step in advancing AI and neuroscience. It allows us to delve deeper into the brain's operating principles and develop more advanced AI systems based on these insights.

CHA Meeyoung, who is a data scientist in the team and at KAIST, notes, The human brain is remarkable in how it operates with minimal energy, unlike the large AI models that need immense resources. Our work opens up new possibilities for low-cost, high-performance AI systems that learn and remember information like humans.

What sets this study apart is its initiative to incorporate brain-inspired nonlinearity into an AI construct, signifying a significant advancement in simulating human-like memory consolidation. The convergence of human cognitive mechanisms and AI design not only holds promise for creating low-cost, high-performance AI systems but also provides valuable insights into the workings of the brain through AI models.

Experimental study

Not applicable

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AI's memory-forming mechanism found to be strikingly similar to that of the brain - EurekAlert

Navigating the neuroscientific landscape with Dr Judy Illes – Drug Target Review

In a world grappling with the growing spectre of eco-anxiety and the pressing challenges posed by climate change, Dr Judy Illes, a distinguished figure in the field of neuroscience, sheds light on the role neuroscientists play in contributing to the discourse on environmental issues and their profound impact on individual and collective well-being. In this interview, Judy emphasises the need for evidence-based neuroscience to address the mental health implications of environmental changes, urging a departure from geographical silos to foster global collaboration. The discussion extends to strategies for disseminating neuroscientific research across diverse cultural landscapes and the practical implications of bridging the gap between research and public awareness.

I dont think it is a question of neuroscientists having to shoulder the responsibility of responding to and addressing questions of eco-anxiety, climate change, and environmental change, but rather a matter of upping the interest in this space and delivering more evidence through great research. We need more good neuroscience discovery and meaningful clinical translation to address the issues that were seeing and that are being debated. On the mental health side, there is anxiety around climate change Eco-Anxiety. On the neurologic side, there are findings about neurotoxins and environmental contaminants showing correlations with a variety of neurologic diseases across the lifespan from children to adults. Good study design, solid evidence, and good information dissemination with explicit evidence-based mitigation of misinformation will really contribute to climate change and environmental decision-making, policymaking, and improvements in brain-related health systems and care.

That is such an important question and it speaks directly to the global movement in neuroscience today. Global neuroscience cross-national, cross-geographic collaboration is so important to bring the kind of evidence about which I spoke in response to your first question. There is no point in addressing climate change, environmental change, contaminants from neurotoxins and so on in geographic silos. These affect all people across all nations. We have so much to learn from each other. We have different perspectives, different languages, and potentially different belief systems. When we combine these into an integrated, concerted collaborative program, we will be able to advance the kind of neuroscience that I hope that my lecture at the Society for Neuroscience inspired and also help to propel forward the work of the International Brain Initiative whose headquarters reside with me now in Canada. This is precisely what were trying to achieve: geopolitically conscious, border-free global cooperation in neuroscience.

This question is a good segue from the previous one. Thank you. First, let me say that I am a person of European background and I have had the privilege and the honour of working with indigenous peoples across Canada to learn about indigenous ways of knowing, of knowledge, of methods. My team has done empirical work through systematic literature reviews, scoping reviews, and a variety of research collaborations with indigenous Canadian people. I am also currently working around questions about portable MRI, for example, with colleagues across the USA, led by the University of Minnesota, to understand the important relationships and ethical considerations that come into play when were talking about work, research, and clinical translation that has to do with expanded access to MRI scanning with people from multiple cultures, and many who are in rural and remote regions of North America and the world.

With that preamble, to respond, I respectfully refer to Elder Albert Marshall and to what he called two-eyed seeing, which is a powerful way to bring together traditional belief systems, rooted in the medicine wheel, holism, relationships with the land and the earth, sky, water, air and fire, with biomedical explanations of mental health and neurologic disease. On the neuroscience side, we think about cells to systems: genes, brain development, demyelination, degeneration. It is equally meaningful to integrate this thinking with learnings and knowledge that preceded our understanding about genes and neuroanatomy and neurophysiology. In the past, we to dismissed traditional forms of belief systems. Today, we are seeing through the work of people in neuroscience, health sciences, ethics and law, anthropology and sociology that coupling the two can really bring wellness to an understanding of some of the major burdens of brain and mental health that affect people and societies today.

Again, a wonderful question, Taylor. So there are innumerable strategies. I will only mention three that immediately come to mind.

The first is about data and evidence. Evidence, good science, and design that takes into account not only Western approaches but approaches from different people of different backgrounds and ways of knowing and doing that might date back to time immemorial. That is number one: data, and irrefutable evidence that are respectful of all methods of doing.

The second is working collaboratively in a very engaged way with people of different cultures and different geographies, whether they are Elders from communities or whether they are neuroscientists from different communities and geographic locations. In this way, the maximum breadth and potential of neuroscience discovery will be realised.

The third is collaboration among people who have expertise in the ethics of communication and dissemination of results, or with science communicators to maximize not only what results or findings are disseminated but how they are disseminated. That takes the form of K-12 teaching, undergraduate teaching, graduate teaching, postdoctoral teaching, teaching and communicating throughout the academic ranks, and equally importantly, through public outreach. I think what weve seen over the past 25 years of neuroethics is a tremendous improvement in the way that science reporting is taking place around brain and mind around neuroscience. There really is a commitment, I believe, to working in a far more reciprocal way between the communication side and the science side to ensure that what gets out there is meaningful and appropriately-tailored to distinct audiences. It is multi-layered. It starts well before data collection, at the design and planning phases of research, and then all the way through engaging with the public as I mentioned, and with students of all ages.

I think the responsible way to answer your question is to speak to the importance of systematic neuroscience discovery and systematic engagement. A very small study pharmacologic, behavioral, whatever that is robust can have a huge impact on changing the way health and policymakers think about an aspect of climate change, or a neurotoxin. For example, in my lecture, I spoke about glyphosates. I talked about methylmercury. Neuroscientists could not possibly take on the whole scope of neurotoxic contaminants for a research platform. The challenge is to choose one, choose an important one, and help decode and disentangle why there seems to be still controversies and debates around harms versus benefits that are leading to heterogeneous and conflicting international policies. Solve critical questions for one neurotoxin. Then move on to the next.

I talked a lot about fracking and how data show that the pushing hydrochloric acid into the earth to create fissures not great for the environment, for keeping the land and water clean, or for ensuring that traditional relationships with the land are preserved. The risk of fracking have to be taken in balance though with the economic benefits to communities that dont have a lot of resources, for example, and may even be faced with food and water security. We must look at harms and benefits always, always in balance. We have to take these problems and tackle them bit by bit. Climate change, too big as a whole. But finding ways to protect children with severe brain disorders such as epilepsy whose condition might be exacerbated by extreme heat that can be tackled. Environmental change with respect to neurotoxins too big. Discovering and addressing differential proximate and epigenetic effects of different neurotoxins that can be tackled.

Neuroscience requires patience and systematic, rigorous deliberate methods. Today there is a new openness to thinking about all aspects of what results may suggest and how they may inform how people behave, govern, and invest in each other going forward.

About the author

Dr Judy Illes, CM, PhD, FCAHS, FRSC

University of British Columbia (UBC)

Dr Judy Illes is Professor of Neurology at the University of British Columbia (UBC),Distinguished University Scholar, UBC Distinguished Scholar in Neuroethics, and Director of Neuroethics Canada. She is a pioneer of the field of neuroethics through which she has made groundbreaking contributions to cross-cultural ethical, legal, social and policy challenges at the intersection of the brain sciences and biomedical ethics. Among her many commitments, she is Chair of the International Brain Initiative and co-Lead of the IBIs Canadian Brain Research Strategy. She serves as Director-at-Large of the Canadian Academy of Health Sciences,and is a member of the Ethics, Law and Humanities Committee of the American Academy of Neurology.

Dr Illes is the immediate past Vice Chair of the Advisory Board of the Institute for Neuroscience, Mental Health and Addiction of the Canadian Institutes of Health Research (CIHR), and of CIHRs Standing Committee on Ethics.Her recent books, a series calledDevelopments in Neuroethics and Bioethics, focus on pain, global mental health, neurotechnology, transnational laws, environmental neuroethics, neurodevelopment, and neuroAI. Dr Illes was awarded the Order of Canada, the countrys highest recognition of its citizens, in 2017.

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Navigating the neuroscientific landscape with Dr Judy Illes - Drug Target Review