Status affects how readily people return smiles, research reveals

If you smile at your boss and she smiles back, beware. It could be a sign that she does not think too highly of you, according to a study.

People who feel powerful are more likely to mimic the smiles of those they perceive as low status, according to research presented at the annual Society for Neuroscience conference in New Orleans. They are less likely, however, to return the smiles of people they consider of higher status than themselves. And when people are not feeling particularly powerful, they return everyone’s smiles almost equally.

Mimicking other people’s behaviour is an important mechanism of bonding in group situations, according to Evan Carr from the department of psychology at the University of California in San Diego, who led the study. “Mimicry has been shown to help build relationships, and both power and status seem to affect how we unconsciously employ this strategy,” he said.

Power, he said, referred to someone’s internal feeling of being able to take control of others, whereas status was a more externally defined quality. “It’s more to do with perceived reverence or some type of social hierarchy,” said Carr.

A Future Without Seizures

Five-year-old Nathan Kalina of Naperville will enter kindergarten this fall after spending the summer in day camp: playing games, enjoying field trips, and romping in the pool. He loves playing with action figures and acting out scenes from his favorite movies.

The scene two years ago was very different. After getting a few reports from daycare about unexplained falls, Nathan’s parents started to notice him having minor seizures. His mother, Megan, wasn’t too concerned at first; both she and her father had had childhood seizures and recovered from them without incident. Then came Nathan’s first tonic-clonic seizure (formerly known as a “grand mal” seizure), a major event involving his whole brain and body. A trip to a local emergency room for basic tests led to an electroencephalogram a few days later. All the while Nathan was having more seizures, large and small.

"We went from zero to crazy in a matter of days," Megan said.

Medication helped some. Nathan’s father David, a teacher in the Naperville schools, devoted his summer to adjusting Nathan’s regimen. But in the fall, the seizures ramped up again. One specialist suggested a high-fat ketogenic diet, which has been shown to help some children with epilepsy — but it didn’t help Nathan. “Feeding a 4-year-old picky eater on meat, cheese and cream was hard on us and started making him sick,” Megan said.

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PNAS Study: Language Structure Arises from Balance of Clear and Effective Communication

When learning a new language, we automatically organize words into sentences that will be both clearly understood and efficient (quick) to communicate. That’s the finding of a new study reported today in the Proceedings of the National Academy of Sciences (PNAS) which challenges opposing theories on why and how languages come to be organized the way they are.

With more than 5000 languages in the world, it would be easy to assume all vary endlessly, but, in fact, there is great commonality: languages follow only a few recurrent patterns. These commonalities are called “language universals,” a notion suggested in the 1960’s by Noam Chomsky and Joseph Greenberg. A team of researchers from the University of Rochester and Georgetown University Medical Center set out to investigate how these language universals come to be.

Linguists and cognitive scientists have opposing ideas on how a language is developed and shaped. Some believe that languages all derived from a common ancestor; others think that languages vary quite widely and universals do not exist at all. Some have suggested that language universals are an arbitrary evolutionary outcome. The position of the Rochester-Georgetown team is that the human mind shapes a language, even while learning it, based on the need for robust and effective information transfer.

“The thousands of natural languages in our world only have a couple of formats in which they appear, and we are good at understanding and learning languages that have just these formats. Otherwise we could never succeed in learning something so complicated as human languages,” says one of the study’s authors, Elissa L. Newport, Ph.D., a professor in the department of neurology at Georgetown University Medical Center.

Evolution Mostly Driven by Brawn, Not Brains, Analysis Finds

The most common measure of intelligence in animals, brain size relative to body size, may not be as dependent on evolutionary selection on the brain as previously thought, according to a new analysis by scientists.

Brain size relative to body size has been used by generations of scientists to predict an animal’s intelligence. For example, although the human brain is not the largest in the animal kingdom in terms of volume or mass, it is exceptionally large considering our moderate body mass.

Now, a study by a team of scientists at UCL, the University of Konstanz, and the Max Planck Institute of Ornithology has found that the relationship between the two traits is driven by different evolutionary mechanisms in different animals.

Crucially, researchers have found that the most significant factor in determining relative brain size is often evolutionary pressure on body size, and not brain size. For example, the evolutionary history of bats reveals they decreased body size much faster than brain size, leading to an increase in relative brain size. As a result, small bats were able to evolve improved flying maneuvrability while maintaining the brainpower to handle foraging in cluttered environments.

This shows that relative brain size can not be used unequivocally as evidence of selection for intelligence. The study is published in the Proceedings of the National Academy of Sciences.

Researchers reveal first brain study of Temple Grandin

Temple Grandin, perhaps the world’s most famous person with autism, has exceptional nonverbal intelligence and spatial memory, and her brain has a host of structural and functional differences compared with the brains of controls, according to a presentation Saturday at the 2012 Society for Neuroscience annual meeting in New Orleans.

Grandin, professor of animal sciences at Colorado State University, is an outspoken advocate for autism research and awareness. She is known as a ‘savant,’ or a person who shows characteristic social deficits of autism and yet also has some exceptional abilities. For instance, she has extremely sharp visual acuity.

This is the first study to take a close look at Grandin’s brain, and one of the first to look at the brains of savants.

Doctors took an hour to realise Sarah Merriman had Down’s syndrome after her birth in January 1992. By then, her father, Andy, had phoned friends and family to tell them his wife, Alison, had given birth to a healthy baby. His happy news was dashed. “It was a real shock,” Andy recalls. “From the start, we were warned about the difficulties and troubles that lay ahead for Sarah. Then she was diagnosed as having a hole in her heart. The worry, for the first years of her life, was constant.”

Sarah’s heart healed. She did well at her school in Haringey, north London, and went on to pass the equivalent of four GCSEs. Today, she is studying catering and lives with other students near her college in Somerset. “Sarah is independent and copes with life in a way we could never have imagined just after she was born,” says Andy.

It is a reassuring story, although one major worry still besets the Merriman family: Sarah’s long-term future and her susceptibility to Alzheimer’s disease, a form of dementia that leads to complete loss of memory, speech and awareness and which is closely linked to Down’s syndrome. Among members of the general population, the risk of getting Alzheimer’s before the age of 65 is less than 5%. For a person with Down’s syndrome the figure is 50%.

Could Down’s syndrome point the way to preventing Alzheimer’s disease?

Relapse or recovery? Neuroimaging predicts course of substance addiction treatment

An Indiana University study has provided preliminary evidence that by measuring brain activity through the use of neuroimaging, researchers can predict who is likely to have an easier time getting off drugs and alcohol, and who will need extra help.

"We can also see how brain activity changes as people recover from their addictions," said Joshua Brown, assistant professor in the Department of Psychological and Brain Sciences at Indiana University Bloomington, part of the College of Arts and Sciences.

The chronic occurrence of relapse underscores the need for improved methods of treatment and relapse prevention. One potential cause for relapse is deficient self-regulatory control over behavior and decision-making. Specifically this lack of self-regulatory ability in substance dependent individuals has been associated with dysfunction of a mesolimbic-frontal brain network. Reduced activity within this self-regulatory brain network has previously been implicated in relapse, but the specific relationship between this network, self-regulatory ability and recovery is yet to be determined.