Category: Neurology

New fMRI Design is a Quantum Leap in Brain Imaging

Cross-sectional diagram of the NexGen 7T scanner, showing the new Impulse head-only gradient coil (green) and receiver-transmit coil (white) resting on a movable bed (brown) and connected to an electronic interface (blue) containing nearly a thousand wires (blue) that extend out of the magnet. Credit: Bernhard Gruber, MGH Harvard

An intense international effort to improve the resolution of magnetic resonance imaging (MRI) for studying the human brain has culminated in an ultra-high resolution 7 Tesla scanner that records up to 10 times more detail than current 7T scanners and over 50 times more detail than current 3T scanners, the mainstay of most hospitals.

This next generation or NexGen 7T functional MRI (fMRI) scanner can resolve features 0.4mm across, compared to the 2–3mm typical of today’s standard 3T fMRIs. It is described in a paper published in Nature Methods.

“The NexGen 7T scanner is a new tool that allows us to look at the brain circuitry underlying different diseases of the brain with higher spatial resolution in fMRI, diffusion and structural imaging, and therefore to perform human neuroscience research at higher granularity,” said David Feinberg, the director of the project to build the scanner. “The ultra-high resolution scanner will allow research on underlying changes in brain circuitry in a multitude of brain disorders, including degenerative diseases, schizophrenia and developmental disorders, including autism spectrum disorder.”

The improved resolution will help neuroscientists probe the neuronal circuits in different regions of the brain’s neocortex and allow researchers to track signals propagating from one area of the cortex, and perhaps discover underlying causes of developmental disorders. This could lead to better ways of diagnosing brain disorders, perhaps by identifying new biomarkers that would allow diagnosis of mental disorders earlier or, more specifically, in order to choose the best therapy.

“Normally, MRI is not fast enough at all to see the direction of the information being passed from one area of the brain to another,” Feinberg said. “The scanner’s higher spatial resolution can identify activity at different depths in the brain’s cortex to indirectly reveal brain circuitry by differentiating activity in different cell layers of the cortex.”

This is possible because neuroscientists have found in vision brain areas that the superficial and deepest cortex layers incorporate ‘top-down’ circuits, that is, they receive information from higher cortical brain areas, whereas the middle cortex involves ‘bottom-up’ circuitry, receiving sensory input. Pinpointing the fMRI activity to a specific depth in the cortex lets neuroscientists track the flow of information throughout the brain and cortex.

With the higher spatial resolution, neuroscientists will be able to home in on the activity of something on the order of 850 individual neurons within a single voxel – a 3D pixel – instead of the 600 000 recorded with standard hospital MRIs, said Silvia Bunge, a UC Berkeley professor of psychology who is one of the first to use the NexGen 7T to conduct research on a human brain.

“We were able to look at the layer profile of the prefrontal cortex, and it’s beautiful,” said Bunge, who studies abstract reasoning. “It’s so exciting to have this state-of-the-art, world-class machine.”

For William Jagust, a UC Berkeley professor of public health who studies the brain changes associated with Alzheimer’s disease, the improved resolution could finally help connect the dots between observed changes due to Alzheimer’s that occur in the brain – abnormal clumps of protein called beta amyloid and tau – and changes in memory.

“We know that part of the memory system in the brain degenerates as we get older, but we know little about the actual changes to the memory system – we can only go so far because of the resolution of our current MRI systems,” said Jagust. “With this new scanner, we think we’re going to be able to take apart a lot more carefully exactly where things have gone wrong. This could help with diagnosis or predicting outcomes in normal people.”

Jack Gallant, a UC Berkeley professor of psychology, hopes the scanner will help neuroscientists discover how functional changes in the brain lead to developmental and mental disorders such as dyslexia, autism and schizophrenia, or that result from neurological disorders, such as dementia and stroke.

“Mental disorders have an enormous impact on individuals, families and society. Together they represent about 10% of the US GDP. Mental disorders are fundamentally disorders of brain function, but functional measures are not used currently to diagnose most brain disorders or to look to see if a treatment’s working. Instead, these disorders are diagnosed behaviourally. This is a weak approach, because there are a lot of different mental brain states that can lead to exactly the same behaviour,” Gallant said. “What we need is more powerful MRI machines like this so that we can map, at high resolution, how information is represented in the brain. To me this is the big potential clinical benefit of ultra-high resolution MRI.”

Funding initiatives lead to ‘quantum leap’

The breakthrough came about through $22 million of funding from various government and private sector sources.

Incorporating newly developed hardware technology from those groups, Siemens collaborated with Feinberg’s team to rebuild a conventional 7 Tesla MRI scanner delivered to UC Berkeley in 2000 to improve the spatial resolution in pictures captured during brain scans.

“There’s been a large increase throughout the world of sites that use 7T MRI scanners, but they were mostly for development and were difficult to use,” said Nicolas Boulant, a physicist visiting from the NeuroSpin project at the University of Paris in Saclay, where he leads the team that operates the world’s only 11.7 Tesla MRI scanner, the strongest magnetic field employed to date. “David’s team really put together many ingredients to make a quantum leap at 7 Tesla, to go beyond what was achievable before and gain performance.”

Boulant hopes to adapt some of the new ingredients in the NexGen 7T – in particular, redesigned gradient coils – to eventually achieve even better resolution with the 11.7 Tesla MRI scanner. The gradient coils generate a rising magnetic field across the brain so that each part of the brain sees a different field strength, which helps to precisely map brain activity.

“The higher the magnetic field, the more difficult it is to really grab the potential promised by these higher-field MRI scanners to see finer details in the human brain,” he said. “You need all this peripheral equipment, which needs to be on steroids to meet those promises. The NexGen 7T is really a game-changer when you want to do neuro MRI.”

To reach higher spatial resolution, the NexGen 7T scanner had to be designed with a greatly improved gradient coil and with larger receiver array coils – which pick up the brain signals – using from 64 to 128 channels to achieve a higher signal-to-noise ratio (SNR) in the cortex and faster data acquisition. All these improvements were combined with a higher signal from the ultra-high field 7T magnet to achieve cumulative gains in the scanner performance.

The extremely powerful gradient coil is the first to be made with three layers of wire windings. Designed by Peter Dietz at Siemens in Erlangen, Germany, the “Impulse” gradient has 10 times the performance of gradient systems in current 7T scanners. Mathias Davids, then a physics graduate student at Heidelberg University in Mannheim, Germany, and a member of Feinberg’s team, collaborated with Dietz in performing physiologic modelling to allow a faster gradient slew rate – a measure of how quickly the magnetic field changes across the brain – while remaining under the neuronal stimulation thresholds of the human body.

“It’s designed so that the gradient pulses can be turned on and off much quicker – in microseconds – to record the signals much quicker, and also so the much higher amplitude gradients can be utilised without stimulating the peripheral nerves in the body or stimulating the heart, which are physiologic limitations,” Feinberg said.

A second key development in the scanner, Feinberg said, is the 128-channel receiver system that replaces the standard 32 channels. The large receiver coil arrays built by Shajan Gunamony of MR CoilTech in Glasgow, UK, gave a higher signal-to-noise ratio in the cerebral cortex and also provided higher parallel imaging acceleration for faster data acquisition to encode large image matrices for ultra high resolution fMRI and structural MRI.

To take advantage of the new hardware technology, Suhyung Park, Rüdiger Stirnberg, Renzo Huber, Xiaozhi Cao and Feinberg designed new pulse sequences of precisely timed gradient pulses to rapidly achieve ultra high resolution. The smaller voxels, measured in units of cubic millimetres and less than 0.1 microlitre, provide a 3D image resolution that is 10 times higher than that of previous 7T fMRIs and 125 times higher than the typical hospital 3T MRI scanners used for medical diagnosis.

Voxel-perfect resolution

The most common MRI scanners employ superconducting magnets that produce a steady magnetic field of 3 Tesla – 90 000 times stronger than Earth’s magnetic field and 3000 times stronger than a fridge magnet.

“A 3T fMRI scanner can resolve spatial details with a resolution of about 2 to 3mm. The cortical circuits that underpin thought and behaviour are about 0.5mm across, so standard research scanners cannot resolve these important structures,” Gallant said.

In contrast, fMRI focuses on blood flow in arteries and veins and can vividly distinguish oxygenated haemoglobin funnelling into working areas of the brain from deoxygenated haemoglobin in less active areas. This allows neuroscientists to determine which areas of the brain are engaged during a specific task.

But again, the 3mm resolution of a 3T fMRI can distinguish only large veins, not the small ones that could indicate activity within microcircuits.

The NexGen 7T will allow neuroscientists to pinpoint activity within the thin cortical layers in the grey matter, as well as within the narrow column circuits that are organised perpendicular to the layers. These columns are of special interest to Gallant, who studies how the world we see is represented in the visual cortex. He has actually been able to reconstruct what a person is seeing based solely on recordings from the brain’s visual cortex.

“The machine that David has built, in theory, should get down to 500 microns, or something like that, which is way better than anything else – we’re very near the scale you would want if you’re getting signals from a single column, for example,” Gallant said. “It’s fantastic. The whole thing about MRI is how big is the little volumetric unit, the voxel […] that’s the only thing that matters.”

For the moment, NexGen 7T brain scanners must be custom-built from regular 7T scanners but should be a lot cheaper than the $22 million required to build the first one.

Feinberg said that UC Berkeley’s NexGen 7T scanner technology will be disseminated by Siemens and MR CoilTech Ltd.

“My view is that we may never be able to understand the human brain on the cellular synaptic circuitry level, where there are more connections than there are stars in the universe,” Feinberg said. ” But we are now able to see signal patterns of brain circuits and begin to tease apart feedback and feed forward circuitry in different depths of the cerebral cortex. And in that sense, we will soon be able to understand the human brain organisation better, which will give us a new view into disease processes and ultimately allow us to test new therapies. We are seeking a better understanding and view of brain function that we can reliably test and reproducibly use noninvasively.”

Source: University of California – Berkeley

Study Discovers a New Driver of Brain Haemorrhage Formation

Source: CC0

A recent study has revealed a new culprit in the formation of brain haemorrhages that does not involve injury to the blood vessels, as previously believed. In the first-of-its kind study, researchers led by the University of California, Irvine discovered that interactions between aged red blood cells and brain capillaries can lead to cerebral microbleeds, offering deeper insights into how they occur and identifying potential new therapeutic targets for treatment and prevention.

The findings, published in the Journal of Neuroinflammation, describe how the team was able to watch the process by which red blood cells stall in the brain capillaries and then observe how the haemorrhage happens.

Cerebral microbleeds are associated with a variety of conditions that occur at higher rates in older adults, including hypertension, Alzheimer’s disease and ischaemic stroke.

“We have previously explored this issue in cell culture systems, but our current study is significant in expanding our understanding of the mechanism by which cerebral microbleeds develop,” said co-corresponding author Dr Mark Fisher, professor of neurology in UCI’s School of Medicine.

“Our findings may have profound clinical implications, as we identified a link between red blood cell damage and cerebral haemorrhages that occurs at the capillary level.”

The team exposed red blood cells to a chemical called tert-butyl hydroperoxide that caused oxidative stress; the cells were then marked with a fluorescent label and injected into mice.

Using two different methods, the researchers observed the red blood cells getting stuck in the brain capillaries and then being cleared out in a process called endothelial erythrophagocytosis.

As they moved out of the capillaries, microglia inflammatory cells engulfed the red blood cells, which led to the formation of a brain haemorrhage.

“It has always been assumed that in order for cerebral haemorrhage to occur, blood vessels need to be injured or disrupted. We found that increased red blood cell interactions with the brain capillaries represent an alternative source of development,” said co-corresponding author Xiangmin Xu, UCI professor of anatomy & neurobiology and director of the campus’s Center for Neural Circuit Mapping.

“We need to examine in detail the regulation of brain capillary clearance and also analyse how that process may be related to insufficient blood supply and ischaemic stroke, which is the most common form of stroke, to help advance the development of targeted treatments.”

Source: University of California – Irvine

Brains do Not Actually ‘Rewire’ Themselves, Scientists Argue

Ischaemic and haemorrhagic stroke. Credit: Scientific Animations CC4.0

Contrary to the commonly-held view, the brain does not have the ability to rewire itself to compensate for conditions such as stroke, loss of sight or an amputation, say scientists in the journal eLife.

Professors Tamar Makin of Cambridge University and John Krakauer of Johns Hopkins University argue that the notion that the brain, in response to injury or deficit, can reorganise itself and repurpose particular regions for new functions, is fundamentally flawed – despite being commonly cited in scientific textbooks. Instead, they argue that what is occurring is merely the brain being trained to utilise already existing, but latent, abilities.

One of the most common examples given is where a person loses their sight – or is born blind – and the visual cortex, previously specialised in processing vision, is rewired to process sounds, allowing the individual to use a form of ‘echolocation’ to navigate a cluttered room. Another common example is of people who have had a stroke and are initially unable to move their limbs repurposing other areas of the brain to allow them to regain control.

Krakauer, Director of the Center for the Study of Motor Learning and Brain Repair at Johns Hopkins University, said: “The idea that our brain has an amazing ability to rewire and reorganise itself is an appealing one. It gives us hope and fascination, especially when we hear extraordinary stories of blind individuals developing almost superhuman echolocation abilities, for example, or stroke survivors miraculously regaining motor abilities they thought they’d lost.

“This idea goes beyond simple adaptation, or plasticity – it implies a wholesale repurposing of brain regions. But while these stories may well be true, the explanation of what is happening is, in fact, wrong.”

In their article, Makin and Krakauer look at a ten seminal studies that purport to show the brain’s ability to reorganise. They argue, however, that while the studies do indeed show the brain’s ability to adapt to change, it is not creating new functions in previously unrelated areas – instead it’s utilising latent capacities that have been present since birth.

For example, a 1980s study by Professor Michael Merzenich at University of California, San Francisco looked at what happens when a hand loses a finger. The hand has a particular representation in the brain, with each finger appearing to map onto a specific brain region. Remove the forefinger, and the area of the brain previously allocated to this finger is reallocated to processing signals from neighbouring fingers, argued Merzenich – in other words, the brain has rewired itself in response to changes in sensory input.

Not so, says Makin, whose own research provides an alternative explanation.

In a study published in 2022, Makin used a nerve blocker to temporarily mimic the effect of amputation of the forefinger in her subjects. She showed that even before amputation, signals from neighbouring fingers mapped onto the brain region ‘responsible’ for the forefinger — in other words, while this brain region may have been primarily responsible for process signals from the forefinger, it was not exclusively so. All that happens following amputation is that existing signals from the other fingers are ‘dialled up’ in this brain region.

Makin, from the Medical Research Council (MRC) Cognition and Brain Sciences Unit at the University of Cambridge, said: “The brain’s ability to adapt to injury isn’t about commandeering new brain regions for entirely different purposes. These regions don’t start processing entirely new types of information. Information about the other fingers was available in the examined brain area even before the amputation, it’s just that in the original studies, the researchers didn’t pay much notice to it because it was weaker than for the finger about to be amputated.”

Another compelling counterexample to the reorganisation argument is seen in a study of congenitally deaf cats, whose auditory cortex appears to be repurposed to process vision. But when they are fitted with a cochlear implant, this brain region immediately begins processing sound once again, suggesting that the brain had not, in fact, rewired.

Examining other studies, Makin and Krakauer found no compelling evidence that the visual cortex of individuals that were born blind or the uninjured cortex of stroke survivors ever developed a novel functional ability that did not otherwise exist.

Makin and Krakauer do not dismiss stories such as blind people navigating using hearing, or individuals who have experienced a stroke regain their motor functions. They argue instead that rather than completely repurposing regions for new tasks, the brain is enhancing or modifying its pre-existing architecture — and it is doing this through repetition and learning.

Understanding the true nature and limits of brain plasticity is crucial, both for setting realistic expectations for patients and for guiding clinical practitioners in their rehabilitative approaches, they argue.

Makin added: “This learning process is a testament to the brain’s remarkable – but constrained – capacity for plasticity. There are no shortcuts or fast tracks in this journey. The idea of quickly unlocking hidden brain potentials or tapping into vast unused reserves is more wishful thinking than reality. It’s a slow, incremental journey, demanding persistent effort and practice. Recognising this helps us appreciate the hard work behind every story of recovery and adapt our strategies accordingly.

“So many times, the brain’s ability to rewire has been described as ‘miraculous’ – but we’re scientists, we don’t believe in magic. These amazing behaviours that we see are rooted in hard work, repetition and training, not the magical reassignment of the brain’s resources.”

The original text of this story is licensed under a Creative Commons Licence.

Source: University of Cambridge

Why do Some People get a ‘Red Wine’ Headache?

Photo from Pixabay CC0

For some people, drinking red wine even in small amounts causes a headache, which typically occurs within 30 minutes to three hours after drinking as little as a small glass of wine. Researchers have examined why this happens – even to people who don’t get headaches when drinking small amounts of other alcoholic beverages. In their work, published in the journal Scientific Reports, the researchers posit that a flavanol found naturally in red wines can interfere with the proper metabolism of alcohol and can lead to a headache.

The headache culprit: Quercetin, a flavanol

This flavanol is called quercetin and it is naturally present in all kinds of fruits and vegetables, including grapes. It’s considered a healthy antioxidant and is even available in supplement form. But when metabolized with alcohol, it can be problematic.

“When it gets in your bloodstream, your body converts it to a different form called quercetin glucuronide,” said wine chemist and corresponding author Andrew Waterhouse, professor emeritus with the UC Davis Department of Viticulture and Enology. “In that form, it blocks the metabolism of alcohol.”

Acetaldehyde toxin buildup leads to flushing, headache, nausea

As a result, people can end up accumulating the toxin acetaldehyde, explains lead author Apramita Devi, postdoctoral researcher with the UC Davis Department of Viticulture and Enology.

“Acetaldehyde is a well-known toxin, irritant and inflammatory substance,” said Devi. “Researchers know that high levels of acetaldehyde can cause facial flushing, headache and nausea.”

The medication disulfiram prescribed to alcoholics to prevent them from drinking causes these same symptoms. Waterhouse said that’s because the drug also causes the toxin to build up in the body when normally an enzyme in the body would break it down. About 40% of the East Asian population also has an enzyme that doesn’t work very well, allowing acetaldehyde to build up in their system.

“We postulate that when susceptible people consume wine with even modest amounts of quercetin, they develop headaches, particularly if they have a preexisting migraine or another primary headache condition,” said co-author Morris Levin, professor of neurology and director of the Headache Center at the University of California, San Francisco. “We think we are finally on the right track toward explaining this millennia-old mystery. The next step is to test it scientifically on people who develop these headaches, so stay tuned.”

Sunlight increases headache-causing flavanol in grapes

Waterhouse said levels of this flavanol can vary dramatically in red wine.

“Quercetin is produced by the grapes in response to sunlight,” Waterhouse said. “If you grow grapes with the clusters exposed, such as they do in the Napa Valley for their cabernets, you get much higher levels of quercetin. In some cases, it can be four to five times higher.”

Levels of quercetin can also differ depending on how the wine is made, including skin contact during fermentation, fining processes and aging.

Clinical trial on wine headaches

Scientists will next compare red wines that contain a lot of quercetin with those that have very little to test their theory about red wine headaches on people. This small human clinical trial, funded by the Wine Spectator Scholarship Foundation, will be led by UCSF.

Researchers said there are still many unknowns about the causes of red wine headaches. It’s unclear why some people seem more susceptible to them than others. Researchers don’t know if the enzymes of people who suffer from red wine headaches are more easily inhibited by quercetin or if this population is just more easily affected by the buildup of the toxin acetaldehyde.

“If our hypothesis pans out, then we will have the tools to start addressing these important questions,” Waterhouse said.

Source: University of California – Davis

Lung Cancer Metastases in the Brain Trick Astrocytes for Protection

Small cell lung cancer cells (green and blue) that metastasised to the brain in a laboratory mouse recruit brain cells called astrocytes (red) for their protection. Credit: Fangfei Qu

Lung cancer cells that metastasise to the brain survive by convincing brain cells called astrocytes that they are baby neurons in need of protection, according to a study by researchers at Stanford Medicine published in Nature Cell Biology.

The cancer cells carry out their subterfuge by secreting a chemical signal prevalent in the developing human brain, the researchers found. This signal draws astrocytes to the tumour, encouraging them to secrete other factors that promote the cancer cells’ survival. Blocking that signal may be one way to slow or stop the growth of brain metastases of small cell lung cancer, which account for about 10% to 15% of all lung cancers, the researchers believe.

In the adult brain, astrocytes play a critical role in maintaining nerve function and connectivity. They are also important during brain development, when they facilitate connections between developing neurons.

The researchers studied laboratory mice, human tissue samples and human mini-brains, or organoids, grown in a lab dish to dissect the unique relationship between the cancer cells and their ‘big sister’ astrocytes, which hover nearby and shower them with protective factors.

“Small cell lung cancers are known for their ability to metastasise to the brain and thrive in an environment that is not normally conducive to tumour growth,” said professor of paediatrics and of genetics Julien Sage, PhD. “Our study suggests that these cancer cells reprogram the brain microenvironment by recruiting astrocytes for their protection.”

Professor Sage is the senior author of the study, while postdoctoral scholar Fangfei Qu, PhD, is the lead author.

Invasion of the brain

Small cell lung cancer excels at metastasising to the brain – about 15% to 20% of people already have clusters of cancer cells in their brains when their lung tumours are first diagnosed. As the cancer progresses, about 40% to 50% of patients will develop brain metastases. The problem is so prevalent, and the clinical outcome so dire, that clinicians recommend cranial radiation even before brain metastases have been found.

How and why small cell lung cancer has such an affinity for the brain has been something of a mystery. Brain metastases are rarely biopsied or removed because doing so has not been shown to affect a patient’s survival, and brain surgery is so invasive. Using laboratory mice is also of little help since small cell lung cancers in those animals rarely develop metastases in the brain, perhaps due to subtle biological differences between species.

Small cell lung cancers have another distinguishing feature – they are neuroendocrine cancers, meaning they arise from cells with similarities to both neurons and hormone-producing cells. Neuroendocrine cells link the nervous system with the endocrine system throughout the body, including in the lung.

Sage and his colleagues wondered whether neuronal-associated proteins on the surface of small cell lung cancer cells give them a leg up when the cells first begin to infiltrate the brain.

“We know the brain is full of neurons,” Sage said. “Maybe that’s why these cancer cells with some neuronal traits are happy in the brain and are accepted into that environment.”

Qu and Sage developed a way to inject mouse small cell lung cancer cells grown in the laboratory into the brains of mice to spark the development of brain tumours. They saw that astrocytes, a subtype of glial cell, flocked to the infant tumours and began to churn out proteins critical during brain development, including factors that stimulate nerve growth.

A plethora of astrocytes

A similar call happens in human brains, they noted: Brain tissue samples from people who had died of metastatic small cell lung cancer, shared by professor of pathology and paper co-author Christina Kong, MD, had many more protective astrocytes in the interior of the tumours than did metastases of melanoma, breast cancer and another type of lung cancer called adenocarcinoma.

Qu worked with assistant professor of paediatrics and co-author Anca Pasca, MD, to fuse aggregates of small cell lung cancer, lung adenocarcinoma or breast cancer cells with what are called cortical organoids – in vitro-grown clumps of brain cells including neurons and astrocytes that begin to mimic the organisation and connectivity of a human cortex. Within 10 days, many more protective astrocytes had infiltrated the small cell lung cancer pseudo-tumours than the adenocarcinoma or breast cancer.

“This showed us that the astrocytes actively move toward the small cell lung cancer cells, rather than simply being engulfed by the growing tumour,” Sage said. “What’s more exciting, though, is that these organoids, or mini-brains, realistically model the developing human brain. So, we’re no longer relying on a mouse model. It’s a perfect system to study brain metastases.”

Further research showed that the small cell lung cancer cells summon protective astrocytes by secreting a protein called Reelin that mediates the migration of neuronal and glial cells during brain development. Triggering Reelin expression in mouse breast cancer cells injected into the brain significantly increased the number of astrocytes in the resulting tumours in the mice, and the tumours were larger than in control animals injected with cells with low Reelin expression.

The apparent reliance of the cancer cells on chemical signals and responses specific to the developing brain may give clues for the development of future therapies, Sage believes.

“Some of these signals may not be as relevant or as highly expressed in the adult brain,” Sage said. “As a result, perhaps they could still be targeted to slow or prevent brain metastases without harming a normal brain. This might be an important window of opportunity for therapy.”

Source: Stanford Medicine

A Living Biobank of Brain Metastasis Samples will Unlock New Research

Photo by National Cancer Institute on Unsplash

At 18 Spanish hospitals, when a patient with brain metastasis undergoes surgery, they can donate a tiny part of their brain to the first repository of brain metastasis living samples in the world, based at the Spanish National Cancer Research Centre (CNIO). A world-first collection, it was created to accelerate the search for therapies against brain metastasis, a disease that affects up to 30% of patients with systemic cancer.

The creators of this repository, called RENACER (Spanish acronym for the National Brain Metastasis Network), are two CNIO researchers, Manuel Valiente, head of the Brain Metastasis Group, and Eva Ortega-Paíno, director of the Biobank. They explained the advantages of the collection in the journal Trends in Cancer. In just three years RENACER has compiled samples from more than 150 patients.

The truly unique feature of RENACER, which makes it a valuable tool for the international scientific community, is that it contains living samples, conserved in cultures that enable the cells to continue behaving in a similar way as they were in the body.

A living biobank that enables organotypic cultures

“We have built a ‘living’ biobank” write Valiente and Ortega-Paíno. And this characteristic can be “transformative, not only for research but also for clinical trial design, especially when focused on unmet clinical needs, such as brain metastasis”.

The fact that the cells are living allows them, for example, to study their response to specific drugs. RENACER paves the way to create avatars for each patient in order to identify the best therapeutic options in an individualised way.

“Research contracts have been already signed to exploit patient-derived organotypic cultures (PDOCs) as avatars, thus providing the possibility to generate biomarkers of sensitivity or resistance to specific drugs” the authors explain.

The hospitals involved with RENACER work as a network to pass on research findings to patients as quickly as possible. In fact, thanks to this network, there are already two clinical trials underway, which will determine the capacity of two biomarkers to discriminate cases in which radiotherapy – a technique with side effects – will be effective.

From the operating theatre to the biobank in hours

The requirement for cells to be “alive” is not easy to achieve, since it involves a sophisticated logistics chain. The samples are taken from the operating theatre in a special container, in their culture medium, at a temperature of between 4 and 8 degrees centigrade.

They must reach the CNIO Biobank, in Madrid, in less than 24 hours. There, they are processed, organotypic cultures are created, and they are divided into proportional parts that are stored as samples for future investigations. They are also analysed using various techniques and sequenced, to extract as much information as possible from them. All the data are put into a database that is open to the international scientific community.

“It is pivotal to empower patients”

“This is happening just a few years after the project was launched,” said Valiente. “It’s a strategy that helps to improve knowledge as well as diagnosis and treatment options, but also brings all the people involved closer together: patients, core researchers, chemical re searchers, healthcare professionals, and the biobank.”

Patients, “[because they act] as donors during a difficult brain metastasis neurosurgery, play a crucial role and we strongly believe that it is pivotal to empower them,” the researchers explain. GEPAC (Spanish Group of Patients with Cancer) is also involved with RENACER.

Source: Spanish National Cancer Research Centre (CNIO)

Fear is in the Eye of the Beholder, Researchers Find

Photo by Stormseeker on Unsplash

Looking away from something frightening may be due to a specific cluster of neurons in a visual region of the brain, according to new research at the University of Tokyo. Researchers found that, in fruit fly brains, these neurons release a chemical called tachykinin which appears to control the fly’s movement to avoid facing a potential threat. Fruit fly brains can offer a useful analogy for larger mammals, so this study, published in Nature Communications, may help studies of human reactions to fearful situations and phobias.

“We discovered a neuronal mechanism by which fear regulates visual aversion in the brains of Drosophila (fruit flies). It appears that a single cluster of 20-30 neurons regulates vision when in a state of fear. Since fear affects vision across animal species, including humans, the mechanism we found may be active in humans as well,” explained Assistant Professor Masato Tsuji from the Department of Biological Sciences at the University of Tokyo.

The team used puffs of air to simulate a physical threat and found that the flies’ walking speed increased after being puffed at. The flies also would choose a puff-free route if offered, showing that they perceived the puffs as a threat (or at least preferred to avoid them). Next the researchers placed a small black object, roughly the size of a spider, 60 degrees to the right or left of the fly. On its own the object didn’t cause a change in behavior, but when placed following puffs of air, the flies avoided looking at the object and moved so that it was positioned behind them.

To understand the molecular mechanism underlying this aversion behavior, the team then used mutated flies in which they altered the activity of certain neurons. While the mutated flies kept their visual and motor functions, and would still avoid the air puffs, they did not respond in the same fearful manner to visually avoid the object.

“This suggested that the cluster of neurons which releases the chemical tachykinin was necessary for activating visual aversion,” said Tsuji. “When monitoring the flies’ neuronal activity, we were surprised to find that it occurred through an oscillatory pattern, ie, the activity went up and down similar to a wave. Neurons typically function by just increasing their activity levels, and reports of oscillating activity are particularly rare in fruit flies because up until recently the technology to detect this at such a small and fast scale didn’t exist.”

By giving the flies genetically encoded calcium indicators, the researchers could make the flies’ neurons shine brightly when activated. Thanks to the latest imaging techniques, they then saw the changing, wavelike pattern of light being emitted, which was previously averaged out and missed.

Next, the team wants to figure out how these neurons fit into the broader circuitry of the brain. Although the neurons exist in a known visual region of the brain, the researchers do not yet know from where the neurons are receiving inputs and to where they are transmitting them, to regulate visual escape from objects perceived as dangerous.

“Our next goal is to uncover how visual information is transmitted within the brain, so that we can ultimately draw a complete circuit diagram of how fear regulates vision,” said Tsuji. “One day, our discovery might perhaps provide a clue to help with the treatment of psychiatric disorders stemming from exaggerated fear, such as anxiety disorders and phobias.”

Source: University of Tokyo

How Sleep Disruption Can Make Pain Feel Worse

Photo by Andrea Piacquadio on Pexels

People often experience headaches and body pain after a lack of sleep, but the mechanisms behind this phenomenon are unclear. A new study published in Nature Communications reveals that a certain endocannabinoid neurotransmitter plays a major role.

The animal-based study, led by investigators at Massachusetts General Hospital (MGH), a founding member of Mass General Brigham (MGB), found that the heightened pain sensitivity than can result from chronic sleep disruption (CSD) – or CSD-induced hyperalgaesia – involved signalling from a part of a brain known as the thalamic reticular nucleus (TRN).

Analyses of metabolites showed that the level of N-arachidonoyl dopamine (NADA), a type of neurotransmitter called an endocannabinoid, decreased in the TRN as a result of sleep deprivation.

Activity of the cannabinoid receptor 1, which is involved in controlling pain perception, also decreased in the thalamic reticular nucleus after CSD.

Administering NADA to the TRN reduced CSD-induced hyperalgaesia in mice.

This beneficial effect of administered NADA could be countered by blocking the cannabinoid receptor 1, suggesting that both the receptor and NADA play a role in pain sensitivity due to sleep deprivation.

“We provide a mechanism as to how sleep disruption leads to exaggerated pain, suggesting that harnessing the endocannabinoid system might break the vicious cycle between pain and sleep loss,” says co-senior author Shiqian Shen, MD, the clinical director of MGH’s Tele Pain Program.

Source: Massachusetts General Hospital

Scientists Record Powerful Signals in the Brain’s White Matter

Scientists have concentrated on the grey matter of the cortex, composed of nerve cell bodies , while ignoring white matter, composed of axons, even though it makes up half the brain. Now, in the Proceedings of the National Academy of Sciences, Vanderbilt University researchers report strong signs of brain activity when performing certain tasks.

For several years, John Gore, PhD, director of the Vanderbilt University Institute of Imaging Science, and his colleagues have used functional magnetic resonance imaging (fMRI) to detect blood oxygenation-level dependent (BOLD) signals, a key marker of brain activity, in white matter.

In this latest paper, the researchers report that when people who are having their brains scanned by fMRI perform a task, like wiggling their fingers, BOLD signals increase in white matter throughout the brain.

“We don’t know what this means,” said the paper’s first author, Kurt Schilling, PhD, research assistant professor of Radiology and Radiological Sciences at VUMC. “We just know that something is happening. There truly is a powerful signal in the white matter.”

It is important to pursue this because disorders as diverse as epilepsy and multiple sclerosis disrupt the “connectivity” of the brain, Schilling said. This suggests that something is going on in white matter.

To find out, the researchers will continue to study changes in white matter signals they’ve previously detected in schizophrenia, Alzheimer’s disease and other brain disorders. Through animal studies and tissue analysis, they also hope to determine the biological basis for these changes.

In grey matter, BOLD signals reflect a rise in blood flow (and oxygen) in response to increased nerve cell activity.

Perhaps the axons, or the glial cells that maintain the protective myelin sheath around them, also use more oxygen when the brain is ‘working’. Or perhaps these signals are somehow related to what’s going on in the grey matter.

But even if nothing biological is going on in white matter, “there’s still something happening here,” Schilling said. “The signal is changing. It’s changing differently in different white matter pathways and it’s in all white matter pathways, which is a unique finding.”

One reason that white matter signals have been understudied is that they have lower energy than grey matter signals, and thus are more difficult to distinguish from the brain’s background “noise.”

The VUMC researchers boosted the signal-to-noise ratio by having the person whose brain was being scanned repeat a visual, verbal or motor task many times to establish a trend and by averaging the signal over many different white matter fibre pathways.

“For 25 or 30 years, we’ve neglected the other half of the brain,” Schilling said. Some researchers not only have ignored white matter signals but have removed them from their reports of brain function.

The Vanderbilt findings suggest that many fMRI studies thus “may not only underestimate the true extent of brain activation, but also … may miss crucial information from the MRI signal,” the researchers concluded.

Source: Vanderbilt University

The Eyes may Hold the Secret to the Greatest Benefits from TMS Therapy

Photo by Victor Freitas on Pexels

A pair of recently published studies from researchers at UCLA Health suggest that measuring changes in how pupils react to light could help predict recovery from depression and personalise transcranial magnetic stimulation (TMS) treatment of major depressive disorder.

TMS is a safe, non-invasive therapy that uses magnetic fields to stimulate parts of the brain involved in mood regulation. While TMS is proven effective, not all patients respond equally well to the therapy. The ability to predict who will benefit most could allow doctors to better customise and target treatments.

In two recent studies, UCLA scientists found that the pupil’s response to light before treatment correlated with improvements in depression symptoms over the course of therapy. Pupil size reflects activation of the autonomic nervous system, which controls involuntary functions and is negatively impacted in people with depression.

The first study, appearing in the Journal of Affective Disorders, reports on outcomes for 51 patients who underwent daily TMS sessions. Before receiving treatment, researchers measured the patients’ baseline pupillary constriction amplitude, or CA: how much the pupil shrinks when exposed to light. The pupil’s constriction is an indicator of parasympathetic nervous system function. The researchers found a significant association between baseline pupil constriction amplitude and symptom improvement, indicating that a greater constriction amplitude at baseline was associated with a better outcome. In other words, those with larger pupil constriction in response to light at baseline showed greater symptom improvement over their full treatment.

The second study, published in Brain Stimulation, went further and compared patients who were treated for depression with one of two common TMS protocols: 10Hz stimulation and intermittent theta burst stimulation (iTBS). In 10Hz stimulation, magnetic pulses are delivered in a continuous and relatively high-frequency stimulation. iTBS is a faster form of stimulation with bursts of three pulses at 50Hz, repeated with short breaks between bursts. This pattern is thought to mimic the natural rhythm of certain brain activities.

The researchers found that people with slower pupillary constriction had significantly greater improvement in depression after 10 sessions if they received iTBS rather than 10Hz treatment.

“These results suggest we may be able to use a simple test of the pupil to identify who is most likely to respond to electromagnetic stimulation of the brain to treat their depression,” said researcher Cole Citrenbaum, lead author of both studies.

Tailored TMS treatments

The researchers propose that measuring pupillary reactivity before starting TMS could guide treatment selection. “Additionally, we may be able to tailor the frequency of stimulation to the individual patient to maximise their benefit from treatment,” Citrenbaum said.

“At the present time, about 65% of patients treated with TMS have a substantial improvement in their depression,” said Dr Andrew F. Leuchter, senior author of both studies. “Our goal is to have more than 85% of patients fully recover from depression. As we better understand the complex brain activity underlying depression, we move closer to matching patients with the treatments that ensure their full recovery. Pupil testing may be one useful tool in reaching this goal.”

The studies add to growing evidence on the benefits of biologically-based personalization in treating major depression. UCLA researchers plan further trials to confirm the value of pupillometry in optimizing transcranial magnetic stimulation.

Source: University of California – Los Angeles Health Sciences