Posts tagged neuroscience

Posts tagged neuroscience
New technique for deep brain stimulation surgery proves accurate and safe
Surgery has been used for Parkinson’s disease and familial tremors, and also shows promise for other disorders
The surgeon who more than two decades ago pioneered deep brain stimulation surgery in the United States to treat people with Parkinson’s disease and other movement disorders has now developed a new way to perform the surgery — which allows for more accurate placement of the brain electrodes and likely is safer for patients.
The success and safety of the new surgical technique could have broad implications for deep brain stimulation, or DBS, surgery into the future, as it may increasingly be used to help with a wide range of medical issues beyond Parkinson’s disease and familial tremors.
The new surgery also offers another distinct advantage: patients are asleep during the surgery, rather than being awake under local anesthesia to help surgeons determine placement of the electrodes as happens with the traditional DBS surgery.
A study detailing the new surgical technique is being published in the June 2013 edition of the Journal of Neurosurgery, and has been published online at the journal’s website.
"I think this will be how DBS surgery will be done in most cases going forward," said Kim Burchiel, M.D., F.A.C.S., chair of neurological surgery at Oregon Health & Science University and the lead author of the Journal of Neurosurgery article. “This surgery allows for extremely accurate placement of the electrodes and it’s safer. Plus patients don’t need to be awake during this surgery — which will mean many more patients who can be helped by this surgery will now be willing to consider it.”
DBS surgery was first developed in France in 1987. Burchiel was the first surgeon in North America to perform the surgery, as part of a Food and Drug Administration-approved clinical trial in 1991.
The FDA approved the surgery for “essential tremor” in 1997 and for tremors associated with Parkinson’s disease in 2002. The surgery has been performed tens of thousands of times over the last decade or so in the United States, most often for familial tremor and Parkinson’s disease. Burchiel and his team at OHSU have performed the surgery more than 750 times.
The surgery involves implanting very thin wire electrodes in the brain, connected to something like a pacemaker implanted in the chest. The system then stimulates the brain to often significantly reduce the tremors.
For most of the last two decades, the DBS patient was required to be awake during surgery, to allow surgeons to determine through monitoring the patient’s symptoms and getting other conscious patient feedback whether the electrodes were placed in the right spots in the brain.
But the traditional form of the surgery had drawbacks. Many patients who might have benefitted weren’t willing to undergo the sometimes 4 to 6 hour surgery while awake. There also is a small chance of hemorrhaging in the brain as the surgeon places or moves the electrodes to the right spot in the brain.
The new technique uses advances in brain imaging in recent years to place the electrodes more safely, and more accurately, than in traditional DBS surgery. The surgical team uses CT scanning during the surgery itself, along with an MRI of the patient’s brain before the surgery, to precisely place the electrodes in the brain, while better ensuring no hemorrhaging or complications from the insertion of the electrode.
The Journal of Neurosurgery article reported on 60 patients who had the surgery at OHSU over an 18-month period beginning in early 2011.
"What our results say is that it’s safe, that we had no hemorrhaging or complications at all — and the accuracy of the electrode placement is the best ever reported," Burchiel said.
Burchiel and his team have done another 140 or so surgeries with the new procedure since enrollment in the study ended. OHSU was the first center to pioneer the new DBS procedure, but other surgical teams across the U.S. are learning the technique at OHSU, and bringing it back to their own centers.
The positive results with the new DBS technique could have ramifications as medical researchers nationwide continue to explore possible new uses for DBS surgery. DBS surgery has shown promising results in clinical trials with some Alzheimer’s patients, with some forms of depression and even with obesity.
If the early promising results for these conditions are confirmed, the number of people who might be candidates for DBS surgery could expand greatly, Burchiel said.
The length of the new surgery for the 60 patients involved in the study was slightly longer than traditional DBS surgery. But as Burchiel and his team have developed the new surgical technique, the new DBS surgeries are usually much shorter, often taking half the time of the more traditional approach. Given that, and that the electrodes are placed more accurately and the surgery is cheaper to perform, the new DBS surgery likely will be the technique most surgeons will use in coming years, Burchiel said.
DBS surgery often helps significantly reduce tremors in patients with familial tremor and tremors and other symptoms in Parkinson’s disease. A parallel study is ongoing at OHSU to assess how symptoms of the patients have improved since their DBS surgery using this new method.
(Image: Dr Frank Gaillard)
Helicopter takes to the skies with the power of thought
A remote controlled helicopter has been flown through a series of hoops around a college gymnasium in Minnesota.
It sounds like your everyday student project; however, there is one caveat…the helicopter was controlled using just the power of thought.
The experiments have been performed by researchers hoping to develop future robots that can help restore the autonomy of paralysed victims or those suffering from neurodegenerative disorders.
Their study has been published today, 4 June 2013, in IOP Publishing’s Journal of Neural Engineering and is accompanied by a video of the helicopter control in action.
There were five subjects (three female, two male) who took part in the study and each one was able to successfully control the four-blade helicopter, also known as a quadcopter, quickly and accurately for a sustained amount of time.
Lead author of the study Professor Bin He, from the University of Minnesota College of Science and Engineering, said: “Our study shows that for the first time, humans are able to control the flight of flying robots using just their thoughts, sensed from noninvasive brain waves.”
The noninvasive technique used was electroencephalography (EEG), which recorded the electrical activity of the subjects’ brain through a cap fitted with 64 electrodes.
Facing away from the quadcopter, the subjects were asked to imagine using their right hand, left hand, and both hands together; this would instruct the quadcopter to turn right, left, lift, and then fall, respectively. The quadcopter was driven with a pre-set forward moving velocity and controlled through the sky with the subject’s thoughts.
The subjects were positioned in front of a screen which relayed images of the quadcopter’s flight through an on-board camera, allowing them to see which direction it was travelling in. Brain signals were recorded by the cap and sent to the quadcopter over WiFi.
“In previous work we showed that humans could control a virtual helicopter using just their thoughts. I initially intended to use a small helicopter for this real-life study; however, the quadcopter is more stable, smooth and has fewer safety concerns,” continued Professor He.
After several different training sessions, the subjects were required to fly the quadcopter through two foam rings suspended from the gymnasium ceiling and were scored on three aspects: the number of times they sent the quadcopter through the rings; the number of times the quadcopter collided with the rings; and the number of times they went outside the experiment boundary.
A number of statistical tests were used to calculate how each subject performed.
A group of subjects also directed the quadcopter with a keyboard in a control experiment, allowing for a comparison between a standardised method and brain control.
This process is just one example of a brain–computer interface where a direct pathway between the brain and an external device is created to help assist, augment or repair human cognitive or sensory-motor functions; researchers are currently looking at ways to restore hearing, sight and movement using this approach.
“Our next goal is to control robotic arms using noninvasive brain wave signals, with the eventual goal of developing brain–computer interfaces that aid patients with disabilities or neurodegenerative disorders,” continued Professor He.
A 20-minute bout of yoga stimulates brain function immediately after
Researchers report that a single, 20-minute session of Hatha yoga significantly improved participants’ speed and accuracy on tests of working memory and inhibitory control, two measures of brain function associated with the ability to maintain focus and take in, retain and use new information. Participants performed significantly better immediately after the yoga practice than after moderate to vigorous aerobic exercise for the same amount of time.
The 30 study subjects were young, female, undergraduate students. The new findings appear in the Journal of Physical Activity and Health.
“Yoga is an ancient Indian science and way of life that includes not only physical movements and postures but also regulated breathing and meditation,” said Neha Gothe, who led the study while a graduate student at the University of Illinois at Urbana-Champaign. Gothe now is a professor of kinesiology, health and sport studies at Wayne State University in Detroit. “The practice involves an active attentional or mindfulness component but its potential benefits have not been thoroughly explored.”
“Yoga is becoming an increasingly popular form of exercise in the U.S. and it is imperative to systematically examine its health benefits, especially the mental health benefits that this unique mind-body form of activity may offer,” said Illinois kinesiology and community health professor Edward McAuley, who directs the Exercise Psychology Laboratory where the study was conducted.
The yoga intervention involved a 20-minute progression of seated, standing and supine yoga postures that included isometric contraction and relaxation of different muscle groups and regulated breathing. The session concluded with a meditative posture and deep breathing.
Participants also completed an aerobic exercise session where they walked or jogged on a treadmill for 20 minutes. Each subject worked out at a suitable speed and incline of the treadmill, with the goal of maintaining 60 to 70 percent of her maximum heart rate throughout the exercise session.
“This range was chosen to replicate previous findings that have shown improved cognitive performance in response to this intensity,” the researchers reported.
Gothe and her colleagues were surprised to see that participants showed more improvement in their reaction times and accuracy on cognitive tasks after yoga practice than after the aerobic exercise session, which showed no significant improvements on the working memory and inhibitory control scores.
“It appears that following yoga practice, the participants were better able to focus their mental resources, process information quickly, more accurately and also learn, hold and update pieces of information more effectively than after performing an aerobic exercise bout,” Gothe said. “The breathing and meditative exercises aim at calming the mind and body and keeping distracting thoughts away while you focus on your body, posture or breath. Maybe these processes translate beyond yoga practice when you try to perform mental tasks or day-to-day activities.”
Many factors could explain the results, Gothe said. “Enhanced self-awareness that comes with meditational exercises is just one of the possible mechanisms. Besides, meditation and breathing exercises are known to reduce anxiety and stress, which in turn can improve scores on some cognitive tests,” she said.
“We only examined the effects of a 20-minute bout of yoga and aerobic exercise in this study among female undergraduates,” McAuley said. “However, this study is extremely timely and the results will enable yoga researchers to power and design their interventions in the future. We see similar promising findings among older adults as well. Yoga research is in its nascent stages and with its increasing popularity across the globe, researchers need to adopt rigorous systematic approaches to examine not only its cognitive but also physical health benefits across the lifespan.”

Scientists map the wiring of the biological clock
The World Health Organization lists shift work as a potential carcinogen, says Erik Herzog, PhD, Professor of Biology in Arts & Sciences at Washington University in St. Louis. And that’s just one example among many of the troubles we cause ourselves when we override the biological clocks in our brains and pay attention instead to the mechanical clocks on our wrists.
In the June 5 issue of Neuron, Herzog and his colleagues report the discovery of a crucial part of the biological clock: the wiring that sets its accuracy to within a few minutes out of the 1440 minutes per day. This wiring uses the neurotransmitter, GABA, to connect the individual cells of the biological clock in a fast network that changes strength with time of day.
Daily rhythms of sleep and metabolism are driven by a biological clock in the suprachiasmatic nucleus (SCN), a structure in the brain made up of 20,000 neurons, all of which can keep daily (circadian) time individually.
If the SCN is to be a robust, but sensitive, timing system, the neurons must synchronize precisely with one another and adjust their rhythms to those of the environment.
Herzog’s lab has discovered a push-pull system in the SCN that does both. In 2005 they reported that the neurons in the clock network communicate by means of a neuropeptide (VIP) that pushes them to synchronize with one another. And, as they now report in Neuron, these neurons also communicate with GABA that pulls on them weakly, so they are not too tightly coupled.
Together these two networks (VIP and GABA) ensure the clock runs as coordinated, precise timepiece but one that can still adjust its timing to synchronize with the environment.
“We think the neurotransmitter network is there to introduce enough jitter into the system to allow the neurons to resynchronize when environmental cues change, as they do with the seasons,” Herzog says. But, he says, since this biological ‘reset button’ evolved long before mechanical clocks, artificial lights, and high-speed travel, it doesn’t introduce enough jitter to allow us to adjust quickly to the extreme time shifts of modern life, such as flying “backward” (east) through several time zones.
Understanding the push-pull system in the SCN has enormous implications for public health, bearing, as it does, on daylight saving times, shift work, school starting times, medical intern schedules, truck driver hours, and many other issues where the clock in the brain is pitted against the clock in the hand.
Synchronizing the cellular clocks
The “clock” inside each SCN neuron depends on the cyclic expression of a family of genes such as the Period (PER) genes. The expression of these genes and the neuron’s firing rate typically peak at mid-day and fall at night. The gene activity is like the cogs in a clock, and the electrical activity like the hands on the clock.
Each neuron in the SCN keeps time, but because they’re different cells, they have slightly different rhythms. Some run a little bit fast and others a bit slow. If the SCN as a whole is to function as a clock, its neurons need to synchronize with one another.
The goal of the recent work in the Herzog lab has been to figure out how the clock cells are connected to each other. “It wasn’t clear, for example, if each neuron communicated with just a few of its neighbors or with all of them,” Herzog says.
Mark Freeman, a graduate student in the lab, developed a method for recording the firing rate of about 100 neurons simultanously on a multi-electrode array. “You float the SCN neurons down gently,” Herzog says, “and the neurons will attach to the electrodes, creating a clock in a dish that will tick away for weeks or months.”
Using these electrode arrays, his lab demonstrated that the neurons in the SCN are synchronized by the exchange of the neuropeptide VIP (vasoactive intestinal polypeptide), which alters the expression of PER to speed up or slow down neurons until they are all in synch.
These synchronized networks are very precise, says Herzog. If you let them free-run in constant darkness they will lose or gain only a few minutes out of the 1,440 minutes in a day. So they’re accurate to within 1 or 2 percent.
But they’re ever so slightly off the 24-hour cycle tied to one turn of the planet on its axis. Over time they would drift far enough off that cycle to be of little use to us, unless they also had some means of synchronizing to local time.
Resetting the cellular clocks
In the article published in Neuron, Herzog and his colleagues report on a second network in the biological clock.
In this network the connections are made by the neurotransmitter GABA (γ-amino-butyric acid). “We proved we had found a GABAergic network by applying drugs that block GABA receptors on the cells,” Herzog says. “All of the connections we had mapped between neurons dropped out.”
Remarkably, when the network drops out, the clock becomes more precise. So the GABAergic network destabilizes the clock; it jiggles it a little.
Herzog points out that the GABAergic network, is sparse, weak and fast (much faster than the VIP network, which relies on the slower action of a neuropeptide), as you might expect a jitter-generator to be.
“We think the GABAergic network is there to let our clocks adjust to environmental cues, such as gradual, seasonal changes in sunrise and sunset,” says Herzog.
It’s a bit like whacking an old television set that has lost vertical synch to get it to resynch with the broadcast signal.
But there isn’t enough jitter in the clock to allow it to make abrupt adjustments, such as the one-hour forward jump when Daylight Savings Time starts. That “spring forward” has been statistically shown to increase the likelihood of heart attacks and car accidents, Herzog says.
Some sleep aids, such as benzodiazepines, that activate the GABA receptors may make the circadian clock a little more jittery, helping people adjust to big time jumps, such as flying across time zones. “But we don’t yet know whether they can improve jetlag; if they do, we want to know if it is because they help you sleep on the long flight or because they help the biological clock adjust to the new time zone,” Herzog cautions.
In any case, it is clear that if people repeatedly force the clock to reset, they throw off more than sleep. The biological clock regulates metabolism and cell division as well as sleep/wake cycles. So shift work, for example, is associated both with metabolic disorders, such as diabetes, and with the unregulated cell division that characterizes cancer.
Fighting our biological clocks does a lot more than make us crabby coffee drinkers.
Despite decades of research, little is known about the function of REM sleep, or the dreams that often accompany it. Rapid eye movements occur in most mammals, with a few exceptions like echidnas and dolphins. In humans, they be become common by the seventh month of pregnancy, and persist throughout life even in the congenitally blind. Researchers have developed techniques to perform a full electrical sleep analysis on subjects while they are simultaneously scanned inside an MRI machine. A new study in PNAS now reports that REM sleep can be distinguished from other states of consciousness by virtue of rhythmic correlations, and anticorrelations, between different areas of the brain.

Polysomnography is a comprehensive biophysical analysis used to gauge sleep state. Most of the recorded variables, like EEG, eye movements and heart rate, are electrical in nature. In addition, many other kinds of measurements are often included like body temperature, breathing rate, or blood oxygenation. Although these variables together paint a fairly reliable picture of depth of sleep, they have little to say about what might be going on in the brain during different states of consciousness.
To address this problem, the researchers in the PNAS study used blood-oxygen level dependent (BOLD) MRI to assess functional connectivity between different regions of the brain. Their main finding was that the BOLD signal time series during REM sleep showed strong correlation between the thalamus and the visual cortex, and strong anticorrelation between the thalamus a region of the brain known as the posterior cingulate gyrus. Furthermore, these relations showed clear rhythmic behavior with a relatively constant period of several seconds. This temporal scale corresponds roughly to many other phasic phenomena that are seen during REM sleep.
Some of the common electrically-recorded features of REM sleep have earned names for themselves by virtue of there uniqueness. The so-called sleep spindles and k-complexes have been associated with the cessation of emg activity, and the onset of the disconnection of the brain from the musculature. At the level specific neural systems, it has long been accepted that the major monoaminergic transmitter systems of the brain take a break during REM, while the cholinergic systems become tonically active. Monoamines are those amino-acid derived transmitters that have a single amine group like noradrenaline, serotonin or histamine.
The researchers sought to partition the brain into various sensorimotor regions, and other association areas they call the default mode network (DMN). The posterior cingulate area, together with the prefrontal cortex and inferior parietal areas are said to make up this DMN. Opposite the posterior cingulate area, on the external surface of the cortex in the inferior parietal lobe, is the angular gyrus. Lying at the top of the primary fold in the brain, this area may be said to be at the convex cusp of connectivity. In other words, axons projecting from this area have more immediate short range connectivity options available to them than perhaps anywhere else in the brain. Stroke this area out, and our most fine-grained functions—mathematical, verbal and ideological—are immediately lobotomized.
As BOLD signals change relatively slowly, and can only be measured relatively slowly, they are ultimately of limited value. Uncovering the mysteries of REM sleep, and why we dream, will require much more attention to anecdote and detail. For example, it is known binocular eye movements during REM sleep can be far from conjugate in both the vertical and horizontal planes. Those creatures that show reduced levels of REM sleep have also been shown to have a smaller corpus callosum, or frequently none at all. Something about the bilateral-binocular nature of the brain seems to feature strongly in REM sleep.
At the level of dreams, it is hard to escape the idea that they have some evolved purpose, though this is not yet within the realm of fact. Many among us have dreamt of waves or waterfalls only to awake with a crushing need to visit the bathroom. Other times we teeter at the edge of a cliff, obviously standing-in for the edge of the bed, or struggle to raise a limb to defend ourself against an imaginary foe, while in reality the limb has become hypoxic under our girth. Further removed from this base physiology, our dreams may reassemble our fears and struggles, and simultaneously exaggerate and trivialize emotional events with quizzically open-ended probes.
The synchrony and interconnection of the thalamus, only accessed at low resolution in the present study, remains of central importance in the study of conscious state. Closer inspection of sensorimotor and association areas within the thalamus itself, may continue to shed more light on these issues.
(Source: medicalxpress.com)
If people are unable to perceive their own errors as they complete a routine, simple task, their skill will decline over time, Johns Hopkins researchers have found — but not for the reasons scientists assumed. The researchers report that the human brain does not passively forget our good techniques, but chooses to put aside what it has learned.
The term “motor memories” may conjure images of childhood road trips, but in fact it refers to the reason why we’re able to smoothly perform everyday physical tasks. The amount of force needed to lift an empty glass versus a full one, to shut a car door or pick up a box, even to move a limb accurately from one place to another — all of these are motor memories.
In a report published May 1 in the The Journal of Neuroscience, the Johns Hopkins researchers describe their latest efforts to study how motor memories are formed and lost by focusing on one well-known experimental phenomenon: When people learn to do a task well, but are asked to keep doing it while receiving deliberately misleading feedback indicating that their performance is perfect every time, their actual performance will gradually get worse.
It had been assumed that the decline was due to the decay of memories in the absence of reinforcement, says Reza Shadmehr, Ph.D., a professor in the Department of Biomedical Engineering at the Johns Hopkins University School of Medicine.
But when Shadmehr and graduate student Pavan Vaswani asked volunteers to learn a simple task with a few twists designed to deliberately manipulate the brain’s motor control system, they learned otherwise.
The volunteers were told to push a joystick quickly toward a red dot on a computer screen. But the volunteers’ hands were placed under the screen, where they couldn’t see them, and their starting point was shown on the screen as a blue dot. In addition, as the volunteers moved the joystick toward the red dot, a force within the contraption would suddenly push the joystick to the left. So the volunteers practiced until they could move the blue dot straight to and past the red dot by compensating for the leftward push with pressure toward the right.
Once the volunteers had mastered the task, Shadmehr and Vaswani changed it up without their knowing. For one group of 24 volunteers, they added a stiff spring to the joystick device that would guide the user straight to the target, but would also measure the amount of rightward force the volunteers were applying. To the volunteers, it looked as though they were now doing the task perfectly every time, and, as in previous experiments, they gradually stopped pushing to the right, apparently “forgetting” what they had learned.
For a different group of 19 volunteers, though, the researchers not only added the spring, but also changed the feedback on the screen not to reflect what was actually happening during each task, but to show feedback similar to reruns of earlier efforts. The volunteers weren’t seeing the errors they were actually making, but feedback that looked convincingly like errors they might have made. This group continued to do the task as they’d learned, applying the right amount of force to the joystick hundreds of times.
This shows that decline in technique “isn’t just a process of forgetting,” says Vaswani. “Your brain notices that you are doing this task perfectly, and you see what you can do differently.”
Adds Shadmehr, “Our results correct a component of knowledge we thought we understood. Neuroscientists thought decay was intrinsic to motor memories, but in fact it’s not decay — it’s selection.”
For many older adults, the aging process seems to go hand-in-hand with an annoying increase in clumsiness — difficulties dialing a phone, fumbling with keys in a lock or knocking over the occasional wine glass while reaching for a salt shaker.

While it’s easy to see these failings as a normal consequence of age-related breakdowns in agility, vision and other physical abilities, new research from Washington University in St. Louis suggests that some of these day-to-day reaching-and-grasping difficulties may be be caused by changes in the mental frame of reference that older adults use to visualize nearby objects.
“Reference frames help determine what in our environment we will pay attention to and they can affect how we interact with objects, such as controls for a car or dishes on a table,” said study co-author Richard Abrams, PhD, professor of psychology in Arts & Sciences.
“Our study shows that in addition to physical and perceptual changes, difficulties in interaction may also be caused by changes in how older adults mentally represent the objects near them.”
The study, published in the journal Psychological Science, is co-authored by two recent graduates of the psychology graduate program at Washington University. The lead author, Emily K. Bloesch, PhD, is now a postdoctoral teaching associate at Central Michigan University. The third co-author, Christopher C. Davoli, PhD, is a postdoctoral psychology researcher at the University of Notre Dame.
When tested on a series of simple tasks involving hand movements, young people in this study adopted an attentional reference frame centered on the hand, while older study participants adopted a reference frame centered on the body.
Young adults, the researchers explain, have been shown to use an “action-centered” reference frame that is sensitive to the movements they are making. So, when young people move their hands to pick up an object, they remain aware of and sensitive to potential obstacles along the movement path. Older adults, on the other hand, tend to devote more attention to objects that are closer to their bodies — whether they are on the action path or not.
“We showed in our paper that older adults do not use an “action centered” reference frame. Instead they use a “body centered” one,” Bloesch said. “As a result, they might be less able to effectively adjust their reaching movements to avoid obstacles — and that’s why they might knock over the wine glass after reaching for the salt shaker.”
These findings mesh well with other research that has documented age-related physical declines in several areas of the brain that are responsible for hand-eye coordination. Older adults exhibit volumetric declines in the parietal cortex and intraparietal sulcus, as well as white-matter loss in the parietal lobe and precuneus. These declines may make the use of an action-centered reference frame difficult or impossible.
“These three areas are highly involved in visually guided hand actions like reaching and grasping and in creating attentional reference frames that are used to guide such actions. These neurological changes in older adults suggest that their representations of the space around them may be compromised relative to those of young adults and that, consequently, young and older adults might encode and attend to near-body space in fundamentally different ways,” the study finds.
As the U.S. population ages, research on these issues is becoming increasingly important. An estimated 60-to-70 percent of the elderly population reports difficulty with activities of daily living, such as eating and bathing and many show deficiencies in performing goal-directed hand movements. Knowing more about these aging-related changes in spatial representation, the researchers suggest, may eventually inspire options for skills training and other therapies to help seniors compensate for the cognitive declines that influence hand-eye coordination
(Source: news.wustl.edu)
Never forget a face? Researchers find women have better memory recall than men
New research from McMaster University suggests women can remember faces better than men, in part because they spend more time studying features without even knowing it, and a technique researchers say can help improve anyone’s memories.
The findings help to answer long-standing questions about why some people can remember faces easily while others quickly forget someone they’ve just met.
“The way we move our eyes across a new individual’s face affects our ability to recognize that individual later,” explains Jennifer Heisz, a research fellow at the Rotman Research Institute at Baycrest Health Sciences and newly appointed assistant professor in the Department of Kinesiology at McMaster University.
She co-authored the paper with David Shore, psychology professor at McMaster and psychology graduate student Molly Pottruff.
“Our findings provide new insights into the potential mechanisms of episodic memory and the differences between the sexes. We discovered that women look more at new faces than men do, which allows them to create a richer and more superior memory,” Heisz says.
Eye tracking technology was used to monitor where study participants looked—be it eyes, nose or mouth—while they were shown a series of randomly selected faces on a computer screen. Each face was assigned a name that participants were asked to remember.
One group was tested over the course of one day, another group tested over the course of four days.
“We found that women fixated on the features far more than men, but this strategy operates completely outside of our awareness. Individuals don’t usually notice where their eyes fixate, so it’s all subconscious.”
The implications are exciting, she says, because it means anyone can be taught to scan more and potentially have better memory.
“The results open the possibility that changing our eye movement pattern may lead to better memory,” says Shore. “Increased scanning may prove to be a simple strategy to improve face memory in the general population, especially for individuals with memory impairment like older adults.”
Common gene known to cause inherited autism now linked to specific behaviors
The genetic malady known as Fragile X syndrome is the most common cause of inherited autism and intellectual disability. Brain scientists know the gene defect that causes the syndrome and understand the damage it does in misshaping the brain’s synapses — the connections between neurons. But how this abnormal shaping of synapses translates into abnormal behavior is unclear.
Now, researchers at UCLA believe they know. Using a mouse model of Fragile X syndrome (FXS), they recorded the activity of networks of neurons in a living mouse brain while the animal was awake and asleep. They found that during both sleep and quiet wakefulness, these neuronal networks showed too much activity, firing too often and in sync, much more than a normal brain.
This neuronal excitability, the researchers said, may be the basis for symptoms in children with FXS, which can include disrupted sleep, seizures or learning disabilities. The findings may lead to treatments that could quiet the excessive activity and allow for more normal behavior.
The study results are published in the June 2 online edition of the journal Nature Neuroscience.
According to the National Fragile X Foundation, approximately one in every 3,600 to 4,000 males has the disorder, as does one in 4,000 to 6,000 females. FXS is caused by a mutation in the gene FMR1, which encodes the fragile X mental retardation protein, or FMRP. That protein is believed to be important for the formation and regulation of synapses. Mice that lack the FMR1 gene — and therefore lack the FMRP protein — show some of the same symptoms of human FXS, including seizures, impaired sleep, abnormal social relationships and learning defects.
"We wanted to find the link between the abnormal structure of synapses in the FXS mouse and the behavioral abnormalities at the level of brain circuits. That had not been previously established," said senior author Dr. Carlos Portera-Cailliau, an associate professor in the departments of neurology and neurobiology at UCLA. " So we tested the signaling between different neurons in Fragile X mice and indeed found there was abnormally high firing of action potentials — the signals between neurons — and also abnormally high synchrony — that is, too many neurons fired together. That’s a feature that is common in early brain development, but not in the adult."
"In essence, this points to a relative immaturity of brain circuits in FXS," added Tiago Gonçalves, a former postdoctoral researcher in Portera-Cailliau’s laboratory and the first author of the study.
The researchers used two-photon calcium imaging and patch-clamp electrophysiology — two sophisticated technologies that allowed them to record the signals from individual brain cells. Abnormally high firing and network synchrony, said Portera-Cailliau, is evidence of the fact that neuronal circuits are overexcitable in FXS.
"That likely leads to aberrant brain function or impairments in the normal computations of the brain," he said. "For example, high synchrony could lead to seizures; more neurons firing together could cause entire portions of the brain to fire synchronously, which is the basis of seizures."
And epilepsy, Portera-Cailliau said, is seen in up to 20 percent of children with FXS. High firing rates could also impair the ability of the brain to decode sensory stimuli by causing an overwhelming response to even simple sensory stimuli; this could lead to autism and the withdrawal from social interactions, he noted.
"Interestingly, we found that the high firing and synchrony were especially apparent at times when the animals were asleep," said Portera-Cailliau. "This is curious because a prominent symptom of FXS is disrupted sleep and frequent awakenings."
And, he noted, since sleep is important for encoding memories and consolidating learning, this hyperexcitability of brain networks in FXS may interfere with the process of laying down new memories, and perhaps explain the learning disability in children with FXS.
"Because brain scientists know a lot about the factors that regulate neuronal excitability, including inhibitory neurons, they can now try to use a variety of strategies to dampen neuronal excitation," he said. "Hopefully, this may be helpful to treat symptoms of FXS."
The next step, said Portera-Cailliau, is to explore whether Fragile X mice indeed exhibit exaggerated responses to sensory stimuli.
"An overwhelming reaction to a slight sound or caress, or hyperarousal to sensory stimuli, could be common to different types of autism and not just FXS," he said. "If hyperexcitability is the brain-network basis for these symptoms, then reducing neuronal excitability with certain drugs that modulate inhibition could be of therapeutic value in these devastating neurodevelopmental disorders."

Neuroscience Research Project Examines Neural Synchronization Patterns During Addiction
A cross-disciplinary collaboration of researchers in the School of Science at Indiana University-Purdue University Indianapolis (IUPUI) explores the neural synchrony between circuits in the brain and their behavior under simulated drug addiction. The two-year study could have broad implications for treating addiction and understanding brain function in conditions such as Parkinson’s disease.
Advanced mathematical models coupled with extensive laboratory testing revealed recurrent stimulant injections in rodents resulted in neural circuits that could easily synchronize but were more likely to become unstable. In other words, the introduction and restriction of drugs over time caused neurons to lose their ability to engage supervisory control over brain function and behavior. Researchers noticed these short periods of desynchronization were much more prevalent and caused changes in neurobiology and behavior.
“A better understanding of the dynamics of neural synchrony could have very important implications for understanding the addicted brain and may provide a physiological target to understand persistent neural changes that contribute to the probability of relapse,” said Christopher Lapish, Ph.D., assistant professor of psychology at IUPUI.
Lapish, with expertise in neurophysiology and addiction, and Leonid Rubchinsky, Ph.D., associate professor of mathematical sciences, collaborated on the project with support from the IUPUI Institute for Mathematical Modeling and Computational Science. Rubchinsky is an applied mathematician and neuroscientist who has extensively studied the neurophysiology of Parkinson’s disease.
Sungwoo Ahn, Ph.D., a post-doctoral fellow in mathematical sciences, also co-authored the study, recently published in the Cerebral Cortex scientific journal.
The research was patterned after the various stages of drug addiction: the first introduction of amphetamines, periods of abstinence that model withdrawal and then relapse.
The neural synchrony patterns of models injected with a stimulant were compared to those injected with a saline solution. Short periods of desychronization were prevalent in both groups, but the drug-affected group displayed a marked connection between synchrony and brain function. Synchrony has long been considered to play an important role in how the brain processes data, so any disruption of this pattern could hold significant research value, according to the published study.
“Through these long and progressive experimental examinations, we were able to explore the different areas of the brain and how they are connected to each other,” Rubchinsky said. “In addition to understanding, monitoring, diagnosing and treating addiction, this type of study is helpful in better understanding how the normal brain works.”
This collaboration moves scientists closer to understanding brain function and disruptions, Rubchinsky said, by incorporating mathematical models that recreate events and reactions in the brain over time. Lapish agreed, saying computational science ultimately will drive the growth and success of future neuroscience research.
“Neuroscience is an inherently data-rich science and, by combining experimentalists with theorists, there is a tremendous potential for discovery,” Lapish. “The interactive effects of this collaboration are certainly greater than the sum of its parts. We’re able to create a fully dynamic picture of this process that would not be possible without combining these two areas of expertise.”
Moving forward, the team will continue to seek funding to advance their research methods and better understand the role of synchrony in brain function. By doing so, scientists could map the progress and deterioration of neural circuits in various scenarios.