Difficulties with audiovisual processing contribute to dyslexia in children

Audiovisual Processing and Dyslexia

A University at Buffalo psychologist has published a neuroimaging study that could help develop tests for early identification of dyslexia, a disorder that affects 80 percent of those diagnosed with difficulties reading, writing and spelling.

Tasks that require audiovisual processing are especially challenging for children with dyslexia, according to Chris McNorgan, assistant professor in the Department of Psychology and project lead for the research published in the journal PLoS ONE.

Designing tests sensitive to the problem of audiovisual integration could determine the presence of a disorder that often goes undetected during the early years of elementary education, since many children with dyslexia are considered, initially, as simply being on the lower end of a normal range of reading levels.

“Until these kids with dyslexia are lagging so far behind their peers, there’s no way to reasonably assume that they’re not part of a continuum of ability, but rather a separate group altogether,” says McNorgan.

The Reading Network

The study’s results suggest the reading difficulty associated with dyslexia stems from a lack of coordinated processing in the four brain areas known as “the reading network.”

“We find that the organization of the brain outside of the core reading network does not appear to be related to how well or poorly dyslexic children read,” says McNorgan, an expert in neuroimaging and computational modeling. “This is notable because it would be consistent with dyslexia as a problem related to the wiring specifically of the brain areas associated with integrating auditory and visual information, and not with some other, general cognitive disruption, such as memory or attention.”

Unlike much previous research on dyslexia that focused on the strength of connections in the reading network, McNorgan and his colleagues looked not only at that strength, but also the manner in which these regions are connected, a critical point in order to better understand dyslexia.

“To think of the ‘manner’ of connections, by way of analogy, as being separate from ‘strength,’ a city planner trying to optimize traffic flow is probably not going to be successful by just dropping a multi-lane highway down the middle of a city if the neighborhoods and other city streets are not organized in a way that can take advantage of the extra traffic capacity.

Reading is Multisensory

“While connection strength is absolutely an important factor, our results indicate that it is only one of several components of the brain network that is optimized for fluent reading through practice.”

In cases of dyslexia, there is no problem with how someone’s eyes or how someone’s ears work. But reading isn’t about just what’s seen and heard; it’s a multisensory task that involves decoding letters into their associated speech sounds.

“Don’t imagine someone as seeing words with scrambled letters or seeing letters upside down,” McNorgan explains. “Dyslexia is about being unable to figure out how a particular sequence of letters fits together and then mapping that sequence to a particular sound.”

Consider coming across a new word, like reading “Brobdingnagian” for the first time in Jonathan Swift’s “Gulliver’s Travels.” The unfamiliarity requires a laborious effort to unpack the letters’ sounds into what becomes the word.

“It’s a struggle,” says McNorgan. “And though even fluent readers occasionally encounter this difficulty, the exertion required to get the word is what happens all the time for people with dyslexia.”

Mapping the Reading Network

For the current study, McNorgan and UB graduate students Erica Edwards and Kali Burke, and Vanderbilt University collaborator James Booth used fMRI, a technology that measures and maps brain activity, to look at how the regions of the reading network connect and interact.

The 24 study participants, ages 8-13, completed rhyming tasks under three conditions: seeing two words, hearing two words and hearing the first words while seeing the second. The rhyming tasks required participants to map visual representations to sounds.

As the participants completed the tasks, fMRI scans revealed what brain regions were activated and how they were communicating.

“We’re taking a brain network perspective,” says McNorgan. “We want to learn, not just what these brain areas are doing, but how are these areas talking to each other."

The goal, he says, is to determine whether or not the network’s configuration is determining the degree to which dyslexic children experience reading difficulty.

“The way things are wired is going to make a big difference in how communication occurs within this network,” he says. “And why some children’s brains seem to be resistant to becoming optimally wired remains an outstanding question.”

StepUp Summary

By combining rhythmic exercise with academic drills, StepUp students achieve greater fluency in essential reading skills.  For example, not unlike the exercises used in this study, StepUp students do fast picture naming and rhyming as they exercise. On-time naming is an important visual-verbal processing skill that indicates mastery of new words and their meanings. These interactive exercises lay the foundation for automating basic academic skills; e.g., handwriting, reading decoding, and math-fact retrieval. When these basic academic skills are not automated, it places greater demands on a child’s attentional-resources, which may lead to poor academic performance or behavioral and emotional problems.

StepUp is your guide to understanding how neuroscience can improve student learning. Our approach is backed by hundreds of peer-reviewed articles in the world’s top scientific journals. Sign up for your 30-day trial today! 

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Article written by Bert Gambini, reposted with permission from University at Buffalo.