Unreliable neural response in autistic adults

CARNEGIE MELLON (US) — In three of the five senses—visual auditory, and touch—the neural responses of adults with autism are unpredictable, a new study shows.

Researchers believe the findings may offer new ways to understand the connection between brain function and behavior.

Autism is a disorder well known for its complex changes in behavior—including repeating actions over and over and having difficulty with social interactions and language.



Current approaches to understanding what causes these atypical behaviors focus primarily on specific brain regions associated with these specific behaviors without necessarily linking back to fundamental properties of the brain’s signaling abilities.

New research published in the journal Neuron takes the first step toward deciphering the connection between general brain function and the emergent behavioral patterns in autism.

The study shows that autistic adults have unreliable neural sensory responses to visual, auditory, and somatosensory, or touch, stimuli. This poor response reliability appears to be a fundamental neural characteristic of autism.

“Within the autism research community, most researchers are looking for the location in the brain where autism happens,” says Ilan Dinstein, a postdoctoral researcher in the department of psychology at Carnegie Mellon University and lead author of the study.

“We’re taking a different approach and thinking about how a general characteristic of the brain could be different in autism—and how that might lead to behavioral changes.”

For the study, 14 adults with autism and 14 without—all between the ages of 19 and 39—completed sensory experiments while inside a functional magnetic resonance imaging (fMRI) machine.

To test the visual system’s neural response, participants were shown a pattern of moving dots. The auditory stimulation consisted of pure tones presented to both ears. Short air puffs were used to stimulate the somatosensory senses. The fMRI measured brain activity during the experiments.

Although the control participants’ responses to auditory and touch stimuli were consistent, the autistic participants’ responses varied. View larger. (Credit: Carnegie Mellon University)

Atypical responses

In all of the primary cortices, visual, auditory, and somatosensory, the within-individual response reliability was significantly lowerby 30 to 40 percent—in autism; meaning, there was not a typical, predictable response from trial to trial. Thus, in the individuals with autism, there was significant intra-individual variability, with responses varying from strong to weak. Non-autistic adults had replicable and consistent responses from trial to trial.

“This suggests that there is something very fundamental that is altered in the cortical responses in individuals with autism,” says Marlene Behrmann, professor of psychology at CMU and a leading expert on using brain imaging to understand autism.

“It also begins to build a bridge between the kind of genetic changes that might have given rise to autism in the first placeand the kind of changes in the brain that are responsible for autistic behavioral patterns.

“And, what I think is so powerful is that we sampled visual, auditory, and somatosensory senses. We were unbelievably thorough and attacked every sensory modality and showed the same pattern of unreliability across all three senses.”

The study also presents the first time that researchers have investigated multiple sensory systems—at a primary brain function level—within the same autistic individual.

“One of the problems with autism is that there is considerable variability in symptoms across individuals,” Dinstein says. “In this case, we have a tremendous amount of data on each individual and each of their three sensory systems. And, we see the same unreliability across all of them in autism relative to the controls.”

While this study focused on adults, the team plans on taking the research further to study how the details of sensory unreliability play out in younger autistic groups.

“We are not suggesting that unreliable sensory—visual, auditory, touch—responses cause autism,” says David Heeger, professor of psychology and neural science at New York University.

“But rather that autism might be a consequence of unreliable activity throughout the brain during development. We’ve measured it in sensory areas of the brain but we hypothesize that the same kind of unreliability might be what’s limiting the development of social and language abilities in the brain areas that subserve those functions.”

Biomarker targets

In addition to expanding autism research to determine when and how basic neural processing affects autism, the research may have clinical implications.

“The poor cortical response reliability observed in the individuals with autism in this study may represent a biomarker, which could contribute to better define Autism Spectrum Disorder (ASD) subtypes,” says Pauline Chaste, a visiting research scholar at the University of Pittsburgh Medical Center who was not affiliated with the research but studies how genetic mutations affect psychiatric disorders.

“This is very important because of the great heterogeneity of phenotype in ASD which makes the definition of subphenotypes critical for genetic studies as well as for treatment studies. Thus, the use of this biomarker may help to define new targets for treatment but also to assess efficacy.

“Moreover this study brings new insight into understanding atypical sensory sensitivity in autism, which is a major concern for a vast majority of patients and remains sorely underexplored.”

Lauren Lorenzi, a research associate at Carnegie Mellon, Nancy Minshew from the University of Pittsburgh, and Rafael Malach, professor of brain research at the Weizmann Institute of Science, were also part of the research team.

The Simons Foundation, Pennsylvania Department of Health, and the National Institute of Health and National Institute of Child and Human Development’s Autism Center of Excellence at the University of Pittsburgh funded this research.

Source: Carnegie Mellon University