Neuroscience

Protein spheres in the nucleus give wrong signal for cell division

RUB researchers develop new hypothesis for the degeneration of nerve cells

A new hypothesis has been developed by researchers in Bochum on how Alzheimer’s disease could occur. They analysed the interaction of the proteins FE65 and BLM that regulate cell division. In the cell culture model, they discovered spherical structures in the nucleus that contained FE65 and BLM. The interaction of the proteins triggered a wrong signal for cell division. This may explain the degeneration and death of nerve cells in Alzheimer’s patients. The team led by Dr. Thorsten Müller and Prof. Dr. Katrin Marcus from the Department of Functional Proteomics in cooperation with the RUB’s Medical Proteome Centre headed by Prof. Helmut E. Meyer reported on the results in the “Journal of Cell Science”.

Components of spherical structures in the nucleus identified

The so-called amyloid precursor protein APP is central to Alzheimer’s disease. It spans the cell membrane, and its cleavage products are linked to protein deposits that form in Alzheimer patients outside the nerve cells. APP anchors the protein FE65 to the membrane, which was the focus of the current study. FE65 can migrate into the nucleus, where it plays a role in DNA replication and repair. Based on cells grown in the laboratory, the team led by Dr. Müller established that FE65 can unite with other proteins in the cell nucleus to form spherical structures, so-called “nuclear spheres”. Video microscopy showed that these ring-like structures merge with each other and can thus grow. “By using a special cell culture model, we were able to identify additional components of these spheres”, says Andreas Schrötter, PhD student in the working group Morbus Alzheimer at the Institute for Functional Proteomics. Among other things, the scientists found the protein BLM, which is known from Bloom’s syndrome – an extremely rare hereditary disease, which is associated with dwarfism, immunodeficiency, and an increased risk of cancer. BLM is involved in DNA replication and repair in the nucleus.

The amount of FE65 determines the amount of BLM in the cell nucleus

Müller’s team took a closer look at the function of FE65. By means of genetic manipulation, the researchers generated cell cultures, in which the FE65-production was reduced. A smaller amount of FE65 thus generated a smaller amount of the protein BLM in the nucleus. Instead, BLM collected in another area of the cell, the endoplasmic reticulum. In addition, the researchers found a lower rate of DNA replication in the genetically modified cells. In this way, FE65 influences the replication of the genetic material via the BLM protein. When the researchers cranked up the FE65-production again, the amount of BLM in the nucleus also increased again.

FE65 as a possible trigger for Alzheimer’s

In patients with Alzheimer’s disease, the protein APP, an interaction partner of FE65, changes. The interaction of the two molecules is important for the transport of FE65 into the nucleus, where it regulates cell division in combination with BLM. Müller’s team assumes that the altered APP-FE65 interaction mistakenly sends the cells the signal to divide. Since nerve cells normally cannot divide, they degenerate instead and die. “This hypothesis, which we pursue in the working group Morbus Alzheimer, also delivers new starting points for potential therapies, which are urgently needed for Alzheimer’s disease,” says Dr. Mueller. In the future, the team will also investigate whether and how the amount of BLM is altered in Alzheimer’s patients compared to healthy subjects.

We’ve all been there: You’re at work deeply immersed in a project when suddenly you start thinking about your weekend plans. It happens because behind the scenes, parts of your brain are battling for control.

Now, University of Florida researchers and their colleagues are using a new technique that allows them to examine how parts of the brain battle for dominance when a person tries to concentrate on a task. Addressing these fluctuations in attention may help scientists better understand many neurological disorders such as autism, depression and mild cognitive impairment.

Mingzhou Ding, a professor of biomedical engineering, and Xiaotong Wen, an assistant research scientist of biomedical engineering, both of the University of Florida; Yijun Liu of the McKnight Brain Institute of the University of Florida and Peking University, Beijing; and Li Yao of Beijing Normal University, report their findings in the current issue of The Journal of Neuroscience.

Scientists know different networks within the brain have distinct functions. Ding, Wen and their colleagues used a brain imaging technique called functional magnetic resonance imaging and biostatistical methods to examine interactions between a set of areas they call the task control network and another set of areas known as the default mode network.

The task control network regulates attention to surroundings, controlling concentration on a task such as doing homework, or listening for emotional cues during a conversation. The default mode network is thought to regulate self-reflection and emotion, and often becomes active when a person seems to be doing nothing else.

“We knew that the default mode network decreases in activity when a task is being performed, but we didn’t know why or how,” said Ding, a professor of biomedical engineering in the J. Crayton Pruitt department of biomedical engineering. “We also wanted to know what is driving that activity decrease.

“For a long time, the questions we are asking could not be answered.”

In the past, researchers could not distinguish between directions of interactions between regions of the brain, and could come up with only one number to represent an average of the back-and-forth interactions. Ding and his colleagues used a new technique to untangle the interactions in each direction to show how the different brain regions interact with one another.

In their study, the researchers used fMRI to examine the brains of people performing a task that required concentration. The scientists can see the activity in certain areas of the brain at the same time a person is performing a given task. They can see which parts of the brain are active and which are not and correlate this to how successful a person is at a given task. They then applied the Granger causality technique to look at the data they saw in the fMRI. Named for Nobel Prize-winning economist Clive Granger, this technique allows scientists to examine how one variable affects another variable; in this case, how one region of the brain influences another.

“People have hypothesized different functions for signals going in different directions,” Ding said. “We show that when the task control network suppresses the default mode network, the person can do the task better and faster. The better the default mode network is shut down, the better a person performs.”

However, when the default mode network is not sufficiently suppressed, it sends signals to the task control network that effectively distract the person, causing his or her performance to drop. So while the task control network suppresses the default mode network, the default mode network also interferes with the task control network.

“Your brain is a constant seesaw back and forth,” even when trying to concentrate on a task, Ding said.

The Granger causality technique may help researchers learn more about how neurological disorders work. Researchers have found that the default mode network remains unchanged in people with autism whether they are performing a task or interacting with the environment, which could explain symptoms such as difficulty reading social cues or being easily overwhelmed by sensory stimulation. Scientists have made similar findings with depression and mild cognitive impairment. However, until now no one has been able to address what areas of the brain might be regulating the default mode network and which might be interfering with that regulation.

“Now we are able to address these questions,” Ding said.

Using a miniature electronic device implanted in the brain, scientists have tapped into the internal reward system of mice, prodding neurons to release dopamine, a chemical associated with pleasure.

The researchers, at Washington University School of Medicine in St. Louis and the University of Illinois at Urbana-Champaign, developed tiny devices, containing light emitting diodes (LEDs) the size of individual neurons. The devices activate brain cells with light. The scientists report their findings April 12 in the journal Science.

“This strategy should allow us to identify and map brain circuits involved in complex behaviors related to sleep, depression, addiction and anxiety,” says co-principal investigator Michael R. Bruchas, PhD, assistant professor of anesthesiology at Washington University. “Understanding which populations of neurons are involved in these complex behaviors may allow us to target specific brain cells that malfunction in depression, pain, addiction and other disorders.”

For the study, Washington University neuroscientists teamed with engineers at the University of Illinois to design microscale (LED) devices thinner than a human hair. This was the first application of the devices in optogenetics, an area of neuroscience that uses light to stimulate targeted pathways in the brain. The scientists implanted them into the brains of mice that had been genetically engineered so that some of their brain cells could be activated and controlled with light.

Although a number of important pathways in the brain can be studied with optogenetics, many neuroscientists have struggled with the engineering challenge of delivering light to precise locations deep in the brain. Most methods have tethered animals to lasers with fiber optic cables, limiting their movement and altering natural behaviors.

But with the new devices, the mice freely moved about and were able to explore a maze or scamper on a wheel. The electronic LEDs are housed in a tiny fiber implanted deep in the brain. That’s important to the device’s ability to activate the proper neurons, according to John A. Rogers, PhD, professor of materials science and engineering at the University of Illinois.

“You want to be able to deliver the light down into the depth of the brain,” Rogers says. “We think we’ve come up with some powerful strategies that involve ultra-miniaturized devices that can deliver light signals deep into the brain and into other organs in the future.”

Using light from the cellular-scale LEDs to stimulate dopamine-producing cells in the brain, the investigators taught the mice to poke their noses through a specific hole in a maze. Each time a mouse would poke its nose through the hole, that would trigger the system to wirelessly activate the LEDs in the implanted device, which then would emit light, causing neurons to release dopamine, a chemical related to the brain’s natural reward system.

“We used the LED devices to activate networks of brain cells that are influenced by the things you would find rewarding in life, like sex or chocolate,” says co-first author Jordan G. McCall, a neuroscience graduate student in Washington University’s Division of Biology and Biomedical Sciences. “When the brain cells were activated to release dopamine, the mice quickly learned to poke their noses through the hole even though they didn’t receive any food as a reward. They also developed an associated preference for the area near the hole, and they tended to hang around that part of the maze.”

The researchers believe the LED implants may be useful in other types of neuroscience studies or may even be applied to different organs. Related devices already are being used to stimulate peripheral nerves for pain management. Other devices with LEDs of multiple colors may be able to activate and control several neural circuits at once. In addition to the tiny LEDs, the devices also carry miniaturized sensors for detecting temperature and electrical activity within the brain.

Bruchas and his colleagues already have begun other studies of mice, using the LED devices to manipulate neural circuits that are involved in social behaviors. This could help scientists better understand what goes on in the brain in disorders such as depression and anxiety.

“We believe these devices will allow us to study complex stress and social interaction behaviors,” Bruchas explains. “This technology enables us to map neural circuits with respect to things like stress and pain much more effectively.”

The wireless, microLED implant devices represent the combined efforts of Bruchas and Rogers. Last year, along with Robert W. Gereau IV, PhD, professor of anesthesiology, they were awarded an NIH Director’s Transformative Research Project award to develop and conduct studies using novel device development and optogenetics, which involves activating or inhibiting brain cells with light.

Scientists at The Scripps Research Institute (TSRI) have shed light on one of the major toxic mechanisms of Alzheimer’s disease. The discoveries could lead to a much better understanding of the Alzheimer’s process and how to prevent it.

The findings, reported in the April 10, 2013 issue of the journal Neuron, show that brain damage in Alzheimer’s disease is linked to the overactivation of an enzyme called AMPK. When the scientists blocked this enzyme in mouse models of the disease, neurons were protected from loss of synapses—neuron-to-neuron connection points—typical of the early phase of Alzheimer’s disease.

“These findings open up many new avenues of investigation, including the possibility of developing therapies that target the upstream mechanisms leading to AMPK overactivation in the brain,” said TSRI Professor Franck Polleux, who led the new study.

Alzheimer’s disease, a fatal neurodegenerative disorder afflicting more than 25 million people worldwide, currently has no cure or even disease-delaying therapy.

In addition to having implications for Alzheimer’s drug discovery, Polleux noted the findings suggest the need for further safety studies on an existing drug, metformin. Metformin, apopular treatment for Type 2 Diabetes, causes AMPK activation.

Tantalizing Clues to Alzheimer’s

Researchers have known for years that people in the earliest stages of Alzheimer’s disease begin to lose synapses in certain memory-related brain areas. Small aggregates of the protein amyloid beta can cause this loss of synapses, but how they do so has been a mystery.

Until recently, Polleux’s laboratory has been focused not on Alzheimer’s research but on the normal development and growth of neurons. In 2011, he and his colleagues reported that AMPK overactivation by metformin, among other compounds, in animal models impaired the ability of neurons to grow output stalks, or axons.

Around the same time, separate research groups found clues that AMPK might also have a role in Alzheimer’s disease. One group reported that AMPK can be activated in neurons by amyloid beta, which in turn can cause a modification of the protein tau in a process known as phosphorylation. Tangles of tau with multiple phosphorylations (“hyperphosphorylated” tau) are known to accumulate in neurons in affected brain areas in Alzheimer’s. These results, published two years ago, reported abnormally high levels of activated AMPK in these tangle-ridden neurons.

Polleux decided to investigate further, to determine whether the reported interactions of AMPK with amyloid beta and tau can in fact cause the damage seen in the brains of Alzheimer’s patients. “Very little was known about the function of this AMPK pathway in neurons, and we happened to have all the tools needed to study it,” he said.

In Search of Answers

Georges Mairet-Coello, a postdoctoral research associate in the Polleux lab, performed most of the experiments for the new study. He began by confirming that amyloid beta, in the small-aggregate (“oligomer”) form that is toxic to synapses, does indeed strongly activate AMPK; amyloid beta oligomers stimulate certain neuronal receptors, which in turn causes an influx of calcium ions into the neurons. He found that this calcium influx triggers the activation of an enzyme called CAMKK2, which appears to be the main activator of AMPK in neurons.

The team then showed that this AMPK overactivation in neurons is the essential reason for amyloid beta’s synapse-harming effect. Normally, the addition of amyloid beta oligomers to a culture of neurons causes the swift disappearance of many of the neurons’ dendritic spines—the rootlike, synapse-bearing input stalks that receive signals from other neurons. With a variety of tests, the scientists showed that amyloid beta oligomers can’t cause this dendritic spine loss unless AMPK overactivation occurs—and indeed AMPK overactivation on its own can cause the spine loss.

For a key experiment the team used J20 mice, which are genetically engineered to overproduce mutant amyloid beta, and eventually develop an Alzheimer’s-like condition. “When J20 mice are only three months old, they already show a strong decrease in dendritic spine density, in a set of memory-related neurons that are also affected early in human Alzheimer’s,” Mairet-Coello said. “But when we blocked the activity of CAMKK2 or AMPK in these neurons, we completely prevented the spine loss.”

Next Mairet-Coello investigated the role of the tau protein. Ordinarily it serves as a structural element in neuronal axons, but in Alzheimer’s it somehow becomes hyperphosphorylated and drifts into other neuronal areas, including dendrites where its presence is associated with spine loss. Recent studies have shown that amyloid beta’s toxicity to dendritic spines depends largely on the presence of tau, but just how the two Alzheimer’s proteins interact has been unclear.

The team took a cue from a 2004 study of Drosophila fruit flies, in which an AMPK-like enzyme’s phosphorylation of specific sites on the tau protein led to a cascade of further phosphorylations and the degeneration of nerve cells. The scientists confirmed that one of these sites, S262, is indeed phosphorylated by AMPK. They then showed that this specific phosphorylation of tau accounts to a significant extent for amyloid beta’s synapse toxicity. “Blocking the phosphorylation at S262, by using a mutant form of tau that can’t be phosphorylated at that site, prevented amyloid beta’s toxic effect on spine density,” Mairet-Coello said.

The result suggests that amyloid beta contributes to Alzheimer’s via AMPK, mostly as an enabler of tau’s toxicity.

More Studies Ahead

Mairet-Coello, Polleux and their colleagues are now following up with further experiments to determine what other toxic processes, such as excessive autophagy, are promoted by AMPK overactivation and might also contribute to the long-term aspects of Alzheimer’s disease progression. They are also interested in the long-term effects of blocking AMPK overactivation in the J20 mouse model as well as in other mouse models of Alzheimer’s disease, which normally develop cognitive deficits at later stages. “We already have contacts within the pharmaceuticals industry who are potentially interested in targeting either CAMKK2 or AMPK,” says Polleux.

The other contributors to the study, “The CAMKK2-AMPK kinase pathway mediates the synaptotoxic effects of amyloid beta oligomers through tau phosphorylation,” were Julien Courchet, Simon Pieraut, Virginie Courchet and Anton Maximov, all of TSRI.

Do the brains of different people listening to the same piece of music actually respond in the same way? An imaging study by Stanford University School of Medicine scientists says the answer is yes, which may in part explain why music plays such a big role in our social existence.

(Image: Anthony Ellis)

The investigators used functional magnetic resonance imaging to identify a distributed network of several brain structures whose activity levels waxed and waned in a strikingly similar pattern among study participants as they listened to classical music they’d never heard before. The results will be published online April 11 in the European Journal of Neuroscience.

"We spend a lot of time listening to music — often in groups, and often in conjunction with synchronized movement and dance," said Vinod Menon, PhD, a professor of psychiatry and behavioral sciences and the study’s senior author. "Here, we’ve shown for the first time that despite our individual differences in musical experiences and preferences, classical music elicits a highly consistent pattern of activity across individuals in several brain structures including those involved in movement planning, memory and attention."

The notion that healthy subjects respond to complex sounds in the same way, Menon said, could provide novel insights into how individuals with language and speech disorders might listen to and track information differently from the rest of us.

The new study is one in a series of collaborations between Menon and co-author Daniel Levitin, PhD, a psychology professor at McGill University in Montreal, dating back to when Levitin was a visiting scholar at Stanford several years ago.

To make sure it was music, not language, that study participants’ brains would be processing, Menon’s group used music that had no lyrics. Also excluded was anything participants had heard before, in order to eliminate the confounding effects of having some participants who had heard the musical selection before while others were hearing it for the first time. Using obscure pieces of music also avoided tripping off memories such as where participants were the first time they heard the selection.

The researchers settled on complete classical symphonic musical pieces by 18th-century English composer William Boyce, known to musical cognoscenti as “the English Bach” because his late-baroque compositions in some respects resembled those of the famed German composer. Boyce’s works fit well into the canon of Western music but are little known to modern Americans.

Next, Menon’s group recruited 17 right-handed participants (nine men and eight women) between the ages of 19 and 27 with little or no musical training and no previous knowledge of Boyce’s works. (Conventional maps of brain anatomy are based on studies of right-handed people. Left-handed people’s brains tend to deviate from that map.)

While participants listened to Boyce’s music through headphones with their heads maintained in a fixed position inside an fMRI chamber, their brains were imaged for more than nine minutes. During this imaging session, participants also heard two types of “pseudo-musical” stimuli containing one or another attribute of music but lacking in others. In one case, all of the timing information in the music was obliterated, including the rhythm, with an effect akin to a harmonized hissing sound. The other pseudo-musical input involved maintaining the same rhythmic structure as in the Boyce piece but with each tone transformed by a mathematical algorithm to another tone so that the melodic and harmonic aspects were drastically altered.

The team identified a hierarchal network stretching from low-level auditory relay stations in the midbrain to high-level cortical brain structures related to working memory and attention, and beyond that to movement-planning areas in the cortex. These regions track structural elements of a musical stimulus over time periods lasting up to several seconds, with each region processing information according to its own time scale.

Activity levels in several different places in the brain responded similarly from one individual to the next to music, but less so or not at all to pseudo-music. While these brain structures have been implicated individually in musical processing, their identifications had been obtained by probing with artificial laboratory stimuli, not real music. Nor had their coordination with one another been previously observed.

Notably, subcortical auditory structures in the midbrain and thalamus showed significantly greater synchronization in response to musical stimuli. These structures have been thought to passively relay auditory information to higher brain centers, Menon said. “But if they were just passive relay stations, their responses to both types of pseudo-music would have been just as closely synchronized between individuals as to real music.” The study demonstrated, for the first time, that those structures’ activity levels respond preferentially to music rather than to pseudo-music, suggesting that higher-level centers in the cortex direct these relay stations to closely heed sounds that are specifically musical in nature.

The fronto-parietal cortex, which anchors high-level cognitive functions including attention and working memory, also manifested intersubject synchronization — but only in response to music and only in the right hemisphere.

Interestingly, the structures involved included the right-brain counterparts of two important structures in the brain’s left hemisphere, Broca’s and Geschwind’s areas, known to be crucial for speech and language interpretation.

"These right-hemisphere brain areas track non-linguistic stimuli such as music in the same way that the left hemisphere tracks linguistic sequences," said Menon.

In any single individual listening to music, each cluster of music-responsive areas appeared to be tracking music on its own time scale. For example, midbrain auditory processing centers worked more or less in real time, while the right-brain analogs of the Broca’s and Geschwind’s areas appeared to chew on longer stretches of music. These structures may be necessary for holding musical phrases and passages in mind as part of making sense of a piece of music’s long-term structure.

"A novelty of our work is that we identified brain structures that track the temporal evolution of the music over extended periods of time, similar to our everyday experience of music listening," said postdoctoral scholar Daniel Abrams, PhD, the study’s first author.

The preferential activation of motor-planning centers in response to music, compared with pseudo-music, suggests that our brains respond naturally to musical stimulation by foreshadowing movements that typically accompany music listening: clapping, dancing, marching, singing or head-bobbing. The apparently similar activation patterns among normal individuals make it more likely our movements will be socially coordinated.

"Our method can be extended to a number of research domains that involve interpersonal communication. We are particularly interested in language and social communication in autism," Menon said. "Do children with autism listen to speech the same way as typically developing children? If not, how are they processing information differently? Which brain regions are out of sync?"

The age at which a child with autism is diagnosed is related to the particular suite of behavioral symptoms he or she exhibits, new research from the University of Wisconsin-Madison shows.

Certain diagnostic features, including poor nonverbal communication and repetitive behaviors, were associated with earlier identification of an autism spectrum disorder, according to a study in the April issue of the Journal of the American Academy of Child and Adolescent Psychiatry. Displaying more behavioral features was also associated with earlier diagnosis.

"Early diagnosis is one of the major public health goals related to autism," says lead study author Matthew Maenner, a researcher at the UW-Madison Waisman Center. "The earlier you can identify that a child might be having problems, the sooner they can receive support to help them succeed and reach their potential."

But there is a large gap between current research and what is actually happening in schools and communities, Maenner adds. Although research suggests autism can be reliably diagnosed by age 2, the new analysis shows that fewer than half of children with autism are identified in their communities by age 5.

One challenge is that autism spectrum disorders (ASD) are extremely diverse. According to the criteria outlined in the Diagnostic and Statistical Manual of Mental Disorders Fourth Edition - Text Revision (DSM-IV-TR), the standard handbook used for classification of psychiatric disorders, there are more than 600 different symptom combinations that meet the minimum criteria for diagnosing autistic disorder, one subtype of ASD.

Previous research on age at diagnosis has focused on external factors such as gender, socioeconomic status, and intellectual disability. Maenner and his colleagues instead looked at patterns of the 12 behavioral features used to diagnose autism according to the DSM-IV-TR.

He and Maureen Durkin, a UW-Madison professor of population health and pediatrics and Waisman Center investigator, studied records of 2,757 8-year- olds from 11 surveillance sites in the nationwide Autism and Developmental Disabilities Monitoring Network, run by the Centers for Disease Control and Prevention (CDC). They found significant associations between the presence of certain behavioral features and age at diagnosis.

"When it comes to the timing of autism identification, the symptoms actually matter quite a bit," Maenner says.

In the study population, the median age at diagnosis (the age by which half the children were diagnosed) was 8.2 years for children with only seven of the listed behavioral features but dropped to just 3.8 years for children with all 12 of the symptoms.

The specific symptoms present also emerged as an important factor. Children with impairments in nonverbal communication, imaginary play, repetitive motor behaviors, and inflexibility in routines were more likely to be diagnosed at a younger age, while those with deficits in conversational ability, idiosyncratic speech and relating to peers were more likely to be diagnosed at a later age.

These patterns make a lot of sense, Maenner says, since they involve behaviors that may arise at different developmental times. The findings suggest that children who show fewer behavioral features or whose autism is characterized by symptoms typically identified at later ages may face more barriers to early diagnosis.

But they also indicate that more screening may not always lead to early diagnoses for everyone.

"Increasing the intensity of screening for autism might lead to identifying more children earlier, but it could also catch a lot of people at later ages who might not have otherwise been identified as having autism," Maenner says.

Most people are so attuned to the nuances of social interaction that they can detect clues to mental illness while playing a strategy game with someone they have never met.

That was the finding of a team of scientists led by Read Montague, director of the Human Neuroimaging Laboratory at the Virginia Tech Carilion Research Institute. The researchers discovered that healthy people and those with borderline personality disorder displayed different patterns of behavior while playing an online strategy game, so much so that when healthy players played people with borderline personality disorder, they gave up on trying to predict what their partners would do next.

For their large neuroimaging study, the scientists used a multiround social interaction game, the investor-trustee game, to study the level of strategic thinking in 195 pairs of subjects. In each pair, one player played the investor and the other the trustee. The investor chose how much money to send the trustee, and the trustee in turn decided how much to return to the investor. Profit required the cooperation of both players.

“This classic tit-for-tat game allows us to probe people’s responses to the social gestures of others,” said Montague, who also directs the Computational Psychiatry Unit, an academic center that uses computational models to understand mental disease. “It further allows us to see how people form models of one another. These insights are important for understanding a range of mental illnesses, as the ability to infer other people’s intentions is an essential component of healthy cognition.”

The scientists classified the investors according to varying levels of strategic depth of thought. The healthy subjects fell into three categories: about half simply responded to the amount the other player sent; about one-quarter built a model of their partner’s behavior; and the remaining quarter considered not just their model of their partner, but also their partner’s models of them. 

Not surprisingly, the depth-of-thought style of play correlated with success, with the players who looked deeper into interactions making considerably more money than those who played at a shallow level.

When healthy subjects played people with borderline personality disorder, though, they were far less likely to exhibit depth of thought.

“People with borderline personality disorder are characterized by their unstable relationships, and when they play this game, they tend to break cooperation,” said Montague. “The healthy subjects picked up on the erratic behavior, likely without even realizing it, and far fewer played strategically.”

Notably, the functional magnetic resonance imaging of the subjects’ brains revealed that each category of player showed distinct neural correlates of learning signals associated with differing depths of thought. The scientists used hyperscanning, a technique Montague invented that enables subjects in different brain scanners to interact in real time, regardless of geography. Hyperscanning allows scientists to eavesdrop on brain activity during social exchanges in scanners, whether across the hallway or across the world.

“We’re always modeling other people, and our brains have a substantial amount of neural tissue devoted to pondering our interactions with other people,” Montague said. “This study is a start to turning neural signals into numbers – not just theory-of-mind arguments, but actual numbers. And when we can do that across thousands of people, we should start to gain insights into psychopathologies – what circuits are involved, what brain regions are engaged, and how injuries, congenital disorders, and genetic defects might play into psychiatric illness.”

Montague believes the study represents a significant contribution to the field of computational psychiatry, which seeks to bring computational clout to efforts to understand mental dysfunction. “Traditional psychiatric categories are useful yet incomplete,” said Montague, who delivered a TEDGlobal talk on the growing field of computational psychiatry last year. “Computational psychiatry enables us to redefine with a new lexicon – a mathematical one – the standard ways we think about mental illness.”

Computationally based insights may one day help psychiatry achieve better precision in diagnosis and treatment, Montague said. But until scientists have the right instruments, they cannot even begin to make those connections.

“The exquisite sensitivity that most people have to social gestures gives us a valuable opening,” Montague said. “We’re hoping to invent a tool – almost a human inkblot test – for identifying and characterizing mental disorders in which social interactions go awry.”

Newborn babies’ immune system development and levels of vitamin D have been found to vary according to their month of birth, according to new research.

The research, from scientists at Queen Mary, University of London and the University of Oxford, provides a potential biological basis as to why an individual’s risk of developing the neurological condition multiple sclerosis (MS) is influenced by their month of birth. It also supports the need for further research into the potential benefits of vitamin D supplementation during pregnancy.

Around 100,000 people in the UK have MS, a disabling neurological condition which results from the body’s own immune system damaging the central nervous system. This interferes with the transmission of messages between the brain and other parts of the body and leads to problems with vision, muscle control, hearing and memory. 

The development of MS is believed to be a result of a complex interaction between genes and the environment.

A number of population studies have suggested that the month you are born in can influence your risk of developing MS. This ‘month of birth’ effect is particularly evident in England, where the risk of MS peaks in individuals born in May and drops in those delivered in November. As vitamin D is formed by the skin when it is exposed to sunlight, the ‘month of birth’ effect has been interpreted as evidence of a prenatal role for vitamin D in MS risk.

In this study, samples of cord blood – blood extracted from a newborn baby’s umbilical cord – were taken from 50 babies born in November and 50 born in May between 2009 and 2010 in London.

The blood was analysed to measure levels of vitamin D and levels of autoreactive T-cells. T-cells are white blood cells which play a crucial role in the body’s immune response by identifying and destroying infectious agents, such as viruses. However some T-cells are ‘autoreactive’ and capable of attacking the body’s own cells, triggering autoimmune diseases, and should be eliminated by the immune system during its development. This job of processing T-cells is carried out by the thymus , a specialised organ in the immune system located in the upper chest cavity.

The results showed that the May babies had significantly lower levels of vitamin D (around 20 per cent lower than those born in November) and significantly higher levels (approximately double) of these autoreactive T-cells, compared to the sample of November babies.

Co-author Dr Sreeram Ramagopalan, a lecturer in neuroscience at Barts and The London School of Medicine and Dentistry, part of Queen Mary, said: “By showing that month of birth has a measurable impact on in utero immune system development, this study provides a potential biological explanation for the widely observed “month of birth” effect in MS. Higher levels of autoreactive T-cells, which have the ability to turn on the body, could explain why babies born in May are at a higher risk of developing MS.

“The correlation with vitamin D suggests this could be the driver of this effect. There is a need for long-term studies to assess the effect of vitamin D supplementation in pregnant women and the subsequent impact on immune system development and risk of MS and other autoimmune diseases.”

The research letter is published today in the journal JAMA Neurology.

Research from Western University and Lawson Health Research Institute sheds new light on a gene called ATRX and its function in the brain and pituitary. Children born with ATRX syndrome have cognitive defects and developmental abnormalities. ATRX mutations have also been linked to brain tumors.

Dr. Nathalie Bérubé, PhD, and her colleagues found mice developed without the ATRX gene had problems in in the forebrain, the part of the brain associated with learning and memory, and in the anterior pituitary which has a direct effect on body growth and metabolism. The mice, unexpectedly, also displayed shortened lifespan, cataracts, heart enlargement, reduced bone density, hypoglycemia; in short, many of the symptoms associated with aging. The research is published in the Journal of Clinical Investigation.

Ashley Watson, a PhD candidate working in the Bérubé lab and the first author on the paper, discovered the loss of ATRX caused DNA damage especially at the ends of chromosomes which are called telomeres. She investigated further and discovered the damage is due to problems during DNA replication, which is required before the onset of cell division. Basically, the ATRX protein was needed to help replicate the telomere.

Working with Frank Beier of the Department of Physiology and Pharmacology at Western’s Schulich School of Medicine & Dentistry, the researchers made another discovery. “Mice that developed without ATRX were small at birth and failed to thrive, and when we looked at the skeleton of these mice, we found very low bone mineralization. This is another feature found in mouse models of premature aging,” says Bérubé, an associate professor in the Departments of Biochemistry and Paediatrics at Schulich Medicine & Dentistry, and a scientist in the Molecular Genetics Program at the Children’s Health Research Institute within Lawson. “We found the loss of ATRX increases DNA damage locally in the forebrain and anterior pituitary, resulting in systemic defects similar to those seen in aging.”

The researchers say the lack of ATRX in the anterior pituitary caused problems with the thyroid, resulting in low levels of a hormone called insulin-like growth factor-one (IGF-1) in the blood. There are theories that low IGF-1 can deplete stores of stem cells in the body, and Bérubé says that’s one of the explanations for the premature aging.

Exposure to the anesthetic agent isoflurane increases “programmed cell death” of specific types of cells in the newborn mouse brain, reports a study in the April issue of Anesthesia & Analgesia, official journal of the International Anesthesia Research Society (IARS).

With prolonged exposure, a common inhaled anesthesia eliminates approximately two percent of neurons in the cortex of newborn mice. Although its relevance to anesthesia in human newborns remains to be determined, the study by Dr George K. Istaphanous and colleagues of Cincinnati Children’s Hospital Medical Center provides unprecedented detail on the cellular-level effects of anesthetics on the developing brain.

Isoflurane Exposure Increases ‘Programmed Death’ of Brain Cells
In the study, seven-day-old mice were exposed to isoflurane for several hours. After exposure, sophisticated examinations were performed to assess the extent of isoflurane-induced brain cell death, including the specific types, locations, and functions of brain cells lost.

Isoflurane exposure led to widespread increases programmed cell death, called apoptosis, throughout the brain. Although cell loss was substantially higher after isoflurane exposure, the cell types lost were similar to the cells lost in the apoptosis that is part of normal brain maturation. In both cases, mainly neurons were lost. Neurons are the cells that transmit and store information.

The rate of cell death in the superficial cortex—the thick outer layer of the brain—was at least eleven times higher in isoflurane-exposed animals than seen with normal brain maturation. Overall, approximately two percent of cortical neurons were lost after isoflurane exposure. Astrocytes, another major type of cortical brain cells, were less affected by anesthetic exposure.

Relevance to Anesthesia in Human Newborns Is Unclear—For Now
A growing body of evidence suggests that isoflurane and similar anesthetics may have toxic effects on brain cells in newborn animals and humans. “However, neither the identity of dying cortical cells nor the extent of cortical cell loss has been sufficiently characterized,” according to Dr Istaphanous and colleagues.

The new study provides detailed information on the extent and types of brain cell loss resulting from prolonged isoflurane exposure in newborn mice. It’s unclear whether the two percent brain cell loss induced in the experiments would lead to any permanent damage—in previous studies, newborn isoflurane-exposed mice showed no obvious brain damage long after the exposure.

It can’t be assumed that isoflurane causes similar patterns of cellular damage in human newborns requiring general anesthesia, Dr Istaphanous and coauthors emphasize. Some studies have linked early-life exposure to anesthesia and surgery to later behavioral and learning abnormalities. Other studies have found no adverse affects on children exposed to anesthetics during vulnerable times of brain development. Further research on the selective nature and molecular mechanisms of isoflurane-induced brain cell death would be needed to determine the relevance of the experimental findings, if any, to human infants undergoing anesthesia.