Researchers gain insight into why brain areas fail to work together in autism

Researchers have found in two studies that autism may involve a lack of connections and coordination in separate areas of the brain.

In people with autism, the brain areas that perform complex analysis appear less likely to work together during problem solving tasks than in people who do not have the disorder, report researchers working in a network funded by the National Institutes of Health. The researchers found that communications between these higher-order centers in the brains of people with autism appear to be directly related to the thickness of the anatomical connections between them.

In a separate report, the same research team found that, in people with autism, brain areas normally associated with visual tasks also appear to be active during language-related tasks, providing evidence to explain a bias towards visual thinking common in autism.

"These findings provide support to a new theory that views autism as a failure of brain regions to communicate with each other," said Duane Alexander, M.D., Director of NIH's National Institute of Child Health and Human Development. "The findings may one day provide the basis for improved treatments for autism that stimulate communication between brain areas."

The studies and the theory are the work of Marcel Just, Ph.D., D.O. Hebb Professor of Psychology at Carnegie Mellon University in Pittsburgh, Pennsylvania, and Nancy Minshew, M.D., Professor of Psychiatry and Neurology at the University of Pittsburgh School of Medicine and their colleagues. The research was conducted by the Collaborative Program of Excellence in Autism, a research network funded by the NICHD and the National Institute on Deafness and Other Communication Disorders.

People with autism often have difficulty communicating and interacting socially with other people. The saying "unable to see the forest for the trees" describes how people with autism frequently excel at details, yet struggle to comprehend the larger picture. For example, some children with autism may become spelling bee champions, but have difficulty understanding the meaning of a sentence or a story.

An earlier finding by these researchers described how a group of people with autism tended to use parts of the brain typically associated with processing shapes to remember letters of the alphabet. A news release detailing that finding appears at http://www.nichd.nih.gov/new/releases/final_autism.cfm.

Participants with autism in both current studies had normal I.Q. There were no significant differences between the participants with and without autism in age or I.Q.

The first of the two new studies recently was published online in the journal Cerebral Cortex. In that study, the researchers used a brain imaging technique known as functional magnetic resonance imaging, or fMRI, to view the brains of people with autism as well as a comparison group of people who do not have autism. All of the study participants were asked to complete the Tower of London test. The task involves moving three balls into a specified arrangement in an array of three receptacles. The Tower of London is used to gauge the functioning of the prefrontal cortex.

This brain area, located in the front, upper part of the brain, deals with strategic planning and problem-solving. The prefrontal cortex is the executive area of the brain, in which decision making, judgment, and impulse control reside.

A little further back is the parietal cortex, which controls high-level visual thinking and visual imagery, supporting the visual aspects of the problem-solving. Both the prefrontal and parietal cortex play a critical part in performing the Tower of London test.

In the normal participants, the prefrontal cortex and the parietal cortex tended to function in synchrony (increasing and decreasing their activity at the same time) while solving the Tower of London task. This suggests that the two brain areas were working together to solve the problem.

In the participants with autism, however, the two brain areas, prefrontal and parietal, were less likely to function in synchrony while working on the task.

The researchers made another discovery, for the first time finding a relationship between this lower level of synchrony and the properties of some of the neurological "cables" or white matter fiber tracts that connect brain areas.

White matter consists of fibers that, like cabling, connect brain areas. The largest of the white matter tracts is known as the corpus callosum, which allows communication between the two hemispheres (halves) of the brain.

"The size of the corpus callosum was smaller in the group with autism, suggesting that inter-regional brain cabling is disrupted in autism," Dr. Just said.

In essence, the extent to which the two key brain areas (prefrontal and parietal) of the autistic participants worked in synchrony was correlated with the size of the corpus callosum. The smaller the corpus callosum, the less likely the two areas were to function in synchrony. In the normal participants, however, the size of the corpus callosum did not appear to be correlated with the ability of the two areas to work in synchrony.

"This finding provides strong evidence that autism is a disorder involving the biological connections and the coordination of processing between brain areas," Dr. Just said.

He added, however, that the thickness, or extent, of connections between brain areas may not be the basis for the disorder. Although the neurological connections between the prefrontal cortex appear to be reduced in autism, the brains of people with autism have thicker connections between certain brain regions within each hemisphere.

"At this point, we can say that autism appears to be a disorder of abnormal neurological and informational connections of the brain, but we can't yet explain the nature of that abnormality," Dr. Just said.

In the second study, published online in the journal Brain, the researchers examined the extent to which brain areas involved in language interact with brain regions that process images. Dr. Just explained that earlier studies, as well as anecdotal accounts, suggest that people with autism rely more heavily on visual and spatial areas of the brain than do other people.

In this study, the researchers used fMRI to examine brain functioning in participants with autism and in normal participants during a true-false test involving reading sentences with low imagery content and high imagery content. A typical low imagery sentence consisted of constructions like "Addition, subtraction, and multiplication are all math skills." A high imagery sentence, "The number eight when rotated 90 degrees looks like a pair of eyeglasses," would first activate left prefrontal brain areas involved with language, and then would involve parietal areas dealing with vision and imagery as the study participant mentally manipulated the number eight.

As the researchers expected, the visual brain areas of the normal participants were active only when evaluating sentences with imagery content. In contrast, the visual centers in the brains of participants with autism were active when evaluating both high imagery and low imagery sentences.

"The heavy reliance on visualization in people with autism may be an adaptation to compensate for a diminished ability to call on prefrontal regions of the brain," Dr. Just said.

The second study also confirmed the observations in the first study--that the prefrontal and parietal brain regions of the cortex in people with autism were less likely to work in synchrony than were the brains of normal volunteers. The second study also confirmed that the extent to which the two parts of the cortex could work together was correlated with the size of the corpus callosum that connected them. Dr. Just and his colleagues are conducting additional studies to ascertain the nature of the abnormality of the connections in the brains of people with autism.

New Model Of Brain Sheds Light On Triggers Of Autism

Science Daily — Approximately 1.5 million children and adults in the U.S. have autism and it is estimated to be the fastest growing developmental disability with a 10 – 17 percent increase each year. While much is known about the symptoms of autism, the exact cause of the condition is not yet defined.

A new model of the brain developed by Dr. Stephen Grossberg, professor and chairman of the Department of Cognitive and Neural Systems at Boston University, and Dr. Don Seidman, a pediatrician with the DuPage Medical Group in Elmhurst, IL, sheds light on the triggers of behaviors commonly associated with autism. The paper, “Neural Dynamics of Autistic Behaviors: Cognitive, Emotional, and Timing Substrates,” appears in the July issue of the journal Psychological Review, published by the American Psychological Association.

“Autism involves multiple genes and correspondingly, people with autism are known to have multiple cognitive, emotional, and motor symptoms – such as impaired development of speech and difficulty expressing emotions,” said Dr. Grossberg. “The iSTART model describes the various brain mechanisms that underlie autism and how they may give rise to the symptoms of the condition.”

iSTART, which stands for Imbalanced Spectrally Timed Adaptive Resonance Theory, is derived from the earlier START model developed by Grossberg to explain how the brain controls normal behaviors. The new model describes how brain mechanisms that control normal emotional, timing, and motor processes may become imbalanced and lead to symptoms of autism. START and its imbalanced version iSTART are a combination of three models, each one of which tries to explain fundamental issues about human learning and behavior.

The first, called Adaptive Resonance Theory, or ART, proposes how the brain learns to recognize objects and events. Recognition is accomplished through interactions between perceptually-driven inputs and learned expectations. Inputs attempt to match expectations which helps prompt the brain to anticipate input/expectation patterns.

“When a match occurs, the system locks into a resonant state that drives how we learn to recognize things; hence the term adaptive resonance,” explained Grossberg.

The degree of match that is required for resonance to occur is set by a vigilance parameter which controls whether a particular learned representation will be concrete or abstract. Low vigilance allows for learning of broad abstract recognition categories, such as a category that is activated by any face; high vigilance forces the learning of specific concrete categories, such as a category that is activated by a particular view of a familiar friend’s face. iSTART proposes that individuals with autism have their vigilance fixed at such a high setting that their learned representations are very concrete, or hyperspecific.

“Hypervigilance leads to hyperspecific learning which perpetuates a multitude of problems with learning, cognition, and attention,” said Grossberg.

The second model, called the Cognitive-Emotional-Motor, or CogEM, model, extends ART to the learning of cognitive-emotional associations, or associations that link objects and events in the world to feelings and emotions that give these objects and events value. Under normal circumstances, arousal of the circuits in the brain that control emotion are set at an intermediate level. Either under-arousal or over-arousal of these circuits can cause abnormal emotional reactions and problems with cognitive-emotional learning.

“If the emotional center is over-aroused, the threshold to activate a reaction is abnormally low, but the intensity of the emotion is abnormally small,” said Grossberg. “In contrast, if the emotional circuits are under-aroused, the threshold for activating an emotion is abnormally high, but when this threshold is exceeded, the emotional response can be over reactive. The iSTART model proposes that individuals with autism experience under-aroused emotional depression which helps explain symptoms like reduced emotional expression as well as emotional outbursts.”

The third model, called the Spectral Timing model, clarifies how the brain adaptively times responses in order to acquire rewards and other goals. iSTART shows how individuals with autism experience failures of adaptive timing that lead to the premature release of behaviors which are then unrewarded.

“iSTART depicts how autistic symptoms may arise from breakdowns in normal brain processes, notably a combination of under-stimulated emotional depression in the amygdala and related brain regions, learning of hyperspecific recognition categories in the temporal and prefrontal cortices, and breakdowns of adaptively timed attention and motor circuits in the hippocampal system and cerebellum,” said Grossberg. “The model clarifies how malfunctions in these mechanisms can, though a system-wide vicious circle, cause and maintain problems with them all.”

According to the researchers, iSTART is a breakthrough in the understanding of the many factors that contribute to autism and provides a unifying perspective that connects autistic symptoms to brain mechanisms that have no obvious connection to the condition.

"This approach should make it easier for scientists studying normal behavior to connect their work to autism research," said Grossberg. "iSTART opens up a wide range of possible new experiments to evaluate autistic behaviors and further test and develop the model.”

More information about iSTART and its component models can be found at http://www.cns.bu.edu/Profiles/Grossberg.

Note: This story has been adapted from a news release issued by Boston University.