Seeing the world through the eyes of an Orangutan

Dr Neil Mennie, from The University of Nottingham Malaysia Campus (UNMC), has received funding from Ministry of Science and Technology and Innovation, Malaysia (MOSTI) to study the eye movements of Tsunami — a seven year old orangutan at The National Zoo of Malaysia (Zoo Negara). Not only will Dr Mennie’s research address vital questions about the visual cognition of humans and apes in natural tasks, it will also provide valuable enrichment for the juvenile captive-born orangutan.

Dr Mennie said: “Orangutans are particularly interesting because to survive in the treetops they must be very spatially aware of their surroundings. I hope to investigate their ability to search for food and to compare their progress with humans in 3D search and foraging tasks.

Dr Mennie, who is from the Cognitive and Sensory Systems Research Group in the School of Psychology at UNMC, is interested in how humans and apes use their brains to learn and make predictions about our surroundings. With the help of Tsunami’s keeper, Mohd Sharullizam Ramli, and the special eye tracking equipment that is worn over her head and shoulders, Dr Mennie has spent the last year recording Tsunami’s eye and body movements during the performance of complex actions such as locomotion, foraging for food and manipulation of small objects.

Predicting the Future for Stroke Victims: Computer model enables better understanding of what happens during and after stroke

Results: At the moment that someone is suffering a stroke, the immediate concern is getting them stabilized. Once the initial attack has passed, additional treatment and preventive measures can be implemented. Understanding what’s happening during the actual event, and in the subsequent hours and days, will help improve the effectiveness of the post-attack treatment plan, and also help identify methods of neuroprotection—that is, administer treatments to protect against a stroke in advance for potentially at-risk individuals. Computational biology researchers at Pacific Northwest National Laboratory developed a model for predicting what’s happening during a stroke, how the process evolves over time, the potential outcomes, and the effects of different treatment options.

The work was featured in the journal PLOS Computational Biology

Why It Matters: The ability to examine strokes and other biological processes, through the use of computer simulations rather than after the fact on actual organisms, may significantly accelerate how quickly discoveries can be made in fighting diseases. The ability to model and simulate different treatments prior to administering them to a patient can help predict with more certainty which therapeutic approaches may be the most effective.

"This is the first step in being able to suggest {to health care providers} that if you do X and Y, you’d get a much bigger effect than what you’re currently doing,” said Dr. Jason McDermott, a PNNL computational biologist and lead author on the paper.

Methods: The team developed novel mathematical approaches for extending existing methods of determining causal relationships between genes that are driving biological processes. They implemented ordinary differential equations—a process for describing how things change over time—to improve their ability to infer what these gene relationships might look like and to allow more dynamic simulation of these biological processes over time.

What’s Next: The team is looking at improving the model to simulate events that are happening during a biological process for which there isn’t pre-existing data. Additionally, they plan to test the effect of adding drugs to a treatment plan and also will be looking at micro RNA molecules that currently aren’t included in the model.

Researchers Identify Physiological Evidence of ‘Chemo Brain’

Chemotherapy can induce changes in the brain that may affect concentration and memory, according to a study presented at the annual meeting of the Radiological Society of North America (RSNA). Using positron emission tomography combined with computed tomography (PET/CT), researchers were able to detect physiological evidence of chemo brain, a common side effect in patients undergoing chemotherapy for cancer treatment.

"The chemo brain phenomenon is described as ‘mental fog’ and ‘loss of coping skills’ by patients who receive chemotherapy," said Rachel A. Lagos, D.O., diagnostic radiology resident at the West Virginia University School of Medicine and West Virginia University Hospitals in Morgantown, W.V. "Because this is such a common patient complaint, healthcare providers have generically referred to its occurrence as ‘chemo brain’ for more than two decades."

While the complaint may be common, the cause of chemo brain phenomenon has been difficult to pinpoint. Some prior studies using magnetic resonance imaging (MRI) have found small changes in brain volume after chemotherapy, but no definitive link has been found.

Instead of studying chemotherapy’s effect on the brain’s appearance, Dr. Lagos and colleagues set out to identify its effect on brain function. By using PET/CT, they were able to assess changes to the brain’s metabolism after chemotherapy.

"When we looked at the results, we were surprised at how obvious the changes were," Dr. Lagos said. "Chemo brain phenomenon is more than a feeling. It is not depression. It is a change in brain function observable on PET/CT brain imaging."

PET/CT results demonstrated statistically significant decreases in regional brain metabolism that were closely associated with symptoms of chemo brain phenomenon.

"The study shows that there are specific areas of the brain that use less energy following chemotherapy," Dr. Lagos said. "These brain areas are the ones known to be responsible for planning and prioritizing."

Dr. Lagos believes that PET/CT could be used to help facilitate clinical diagnosis and allow for earlier intervention.

Researchers Study Cry Acoustics of Infants to Determine Risk for Autism

Autism is a poorly understood family of related conditions. People with autism generally lack normal social interaction skills and engage in a variety of unusual and often characteristic behaviors, such as repetitive movements. While there is no specific medical treatment for autism, some success has been shown with early behavioral intervention.

Understanding the importance of early diagnosis, researchers at Women & Infants’Brown Center for the Study of Children at Riskin collaboration with researchers at University of Pittsburgh have been studying the cry acoustics of six-month-old infants. Their research has recently been published in Autism Research.

“Because we can measure various aspects of babies’ cries from the earliest days of life, it may be possible to use this technique to identify risk for neurological problems such as autism long before we can detect behavioral differences,” said Stephen J. Sheinkopf, PhD, lead researcher, psychologist at the Brown Center for the Study of Children at Risk, and assistant professor (research) in the Department of Psychiatry and Human Behavior at The Warren Alpert Medical School of Brown University.

The study examined ways in which infants at risk for autism produced cries as compared to the cries of low-risk infants. Recordings of babies’ cries were excerpted from vocal and video recordings of six-month-old infants at risk for autism spectrum disorder (ASD) and those with low risk. Infants were considered to be at risk if they had an older sibling with a confirmed ASD diagnosis.

Cries were categorized as either pain related or non-pain related based on observations of the videotapes. At-risk infants produced pain related cries with higher and more variable fundamental frequency (commonly referred to as “pitch”) as compared to low-risk infants. A small number of the at-risk infants were later diagnosed with an ASD at 36 months of age. The cries for these babies had among the highest fundamental frequency values and also differed in other acoustic characteristics.

“These findings demonstrate the potential of this approach for babies as young as six months of age,” said Dr. Sheinkopf.

(Photo: Thinkstock Source: Getty Images)

Researchers find reading uses the same brain regions regardless of language

A team of French and Taiwanese researchers has found evidence to indicate that people use the same regions of the brain when reading, regardless of which language is being read. In their paper published in the Proceedings of the National Academy of Sciences, they describe how fMRI brain scans made while people were reading revealed that there are very few differences in how the brain works as reading occurs.

The researchers note that previous research has suggested that different neural networks might be involved when people read text written in very different types of languages. French, for example, is an alphabetic language, whereas Chinese is logographic. Those of Roman origin are based on abstract concepts while Chinese characters are based on realistic depictions of handwriting strokes.

To learn more, the researchers ran fMRI scans on volunteers reading either Chinese or French material as their native language. The material presented was shown in various forms, e.g. normal, static, backwards or distorted. The researchers also employed priming, which is where words are flashed on a screen for such a short period of time as to be unknown to the reader. Priming has been found to influence the rate at which readers recognize words that are shown thereafter for a normal duration of time. The material written in French was presented as cursive rather than block printed letters.

In analyzing the results, the researchers found the differences in brain activity between the two groups as they read to be minimal. Those differences that were found, centered around a slight increase in the brain regions associated with processing the physical movements that had occurred in creating the characters, which in the brain is recognized as motor skills.

The researchers suggest that their results indicate that because reading is a relatively new process for the human brain, it likely evolved using previously existing neural network circuitry, which would explain why it appears the brain works in roughly the same way when reading, regardless of language.

Biking Restores Brain Connectivity in Parkinson’s

PROBLEM: It’s commonly known that Parkinson’s Disease is a chronic, progressive, disease of central nervous system that affects motor ability — its recognizable early stages are characterized by shakiness and difficulty walking. No cure exists, which is why back in 2003, the best Dr. Jay Alberts of the Cleveland Clinic Lerner Research Institute rode a tandem bicycle across Iowa with a Parkinson’s patient (to raise awareness). Unexpectedly, the patient showed improvements in her condition after the trip. In what now much be common lore at the Institute, Alberts attempted to explain the inexplicable by noticing that his own pace was faster than that of his partner, who was forced, by the cruel mechanics of tandem cycling, to pedal faster in order to keep up.

METHODOLOGY: Alberts and his colleagues used functional connectivity MRI to study the brains of 26 patients with Parkinson’s Disease before and after they engaged in an 8-week exercise program and then, as a follow-up, one month later. Three times a week, the patients worked out on stationary bicycles. The experimental group used a modified bike that, using an algorithm in the place of a super in-shape doctor, would measure their rate of exertion and use it as a basis to push them harder than they would otherwise choose.

RESULTS: What the researchers referred to as “forced rate activity,” others might feel is more accurately labeled “torture.” But when they calculated the brain activation of the patients forced to pedal past their comfort level, they found lasting increases in connectivity between two areas of the brain responsible for motor ability: the primary motor cortex and the posterior region of the thalamus.

CONCLUSION: Forced-rate bicycle exercise appears to be an effective therapy for Parkinson’s disease. 

IMPLICATION: The treatment delivered dramatic results, and has the distinction of being inexpensive and accessible. Alberts contends that even those without access to their own algorithm for forced-rate activity may be able to see improvement by using an at-home stationary bike. The next step is to evaluate the possible effects of other forms of exercise, like swimming. 

The full study was presented at the annual meeting of the Radiological Society of North America.

Auditory test predicts coma awakening

A coma patient’s chances of surviving and waking up could be predicted by changes in the brain’s ability to discriminate sounds, new research suggests.

Recovery from coma has been linked to auditory function before, but it wasn’t clear whether function depended on the time of assessment. Whereas previous studies tested patients several days or weeks after comas set in, a new study looks at the critical phase during the first 48 hours. At early stages, comatose brains can still distinguish between different sound patterns. How this ability progresses over time can predict whether a coma patient will survive and ultimately awaken, researchers report.

“It’s a very promising tool for prognosis,” says neurologist Mélanie Boly of the Belgian National Fund for Scientific Research, who was not involved with the study. “For the family, it’s very important to know if someone will recover or not.”

A team led by neuroscientist Marzia De Lucia of the University of Lausanne in Switzerland studied 30 coma patients who had experienced heart attacks that deprived their brains of oxygen. All the patients underwent therapeutic hypothermia, a standard treatment to minimize brain damage, in which their bodies were cooled to 33° Celsius for 24 hours.

De Lucia and colleagues played sounds for the patients and recorded their brain activity using scalp electrodes — once in hypothermic conditions during the first 24 hours of coma, and again a day later at normal body temperature. The sounds were a series of pure tones interspersed with sounds of different pitch, duration or location. The brain signals revealed how well patients could discriminate the sounds, compared with five healthy subjects.

After three months, the coma patients had either died or awoken. All the patients whose discrimination improved by the second day of testing survived and awoke from their comas. By contrast, many of those whose sound discrimination deteriorated by the second day did not survive. The results were reported online November 12 in Brain.

(Image credit: ANP)

Lack of nutrients and metabolic syndrome linked to different subtypes of depression

A low intake of folate and vitamin B12 increases the risk of melancholic depressive symptoms, according to a study among nearly 3,000 middle-aged and elderly Finnish subjects. On the other hand, non-melancholic depressive symptoms are associated with an increased risk for the metabolic syndrome. Based on these new observations, melancholic and non-melancholic depression may be separate depressive subtypes with different etiologies in terms of proinflammation and diet. The study was the first to look at these depressive sub-types separately.

"The findings have practical implications in the care of patients with depressive symptoms. For example, it may be wise to avoid medication causing weight gain among patients with non-melancholic depression, whereas melancholic depressive symptoms may call for a closer look at the quality of the patient’s diet," says Mr Jussi Seppälä, MD, Chief of the Department of Psychiatry of the Hospital District of Southern Savo.

Melancholic depression involves typical depressive symptoms, such as a depressed mood. Non-melancholic depression is characterized by other types of symptoms, such as low self-esteem and feelings of worry and anxiety.

Among subjects with the highest folate intake, the risk for melancholic depressive symptoms was almost 50 per cent lower than among those with the lowest intake. In addition, among those with the highest vitamin B12 levels, the risk for melancholic depressive symptoms was almost three times lower than among those with the lowest levels. Both findings are new. A similar association with non-melancholic depressive symptoms was not observed.

Another novel observation is that the risk for the metabolic syndrome was twofold among those with non-melancholic depressive symptoms, as compared to those with melancholic symptoms or those with no depressive symptoms.

Mr Seppälä’s doctoral thesis “Depressive symptoms, metabolic syndrome and diet" was published at the University of Eastern Finland. The study was conducted as part of the Finnish Type 2 Diabetes Prevention Programme. The findings were originally published in Journal of Affective Disorders.