Can MRI Brain Scans Predict Dyslexia Early?

Kindergartener learning to read a book (Holtsman/flickr)

Kindergartener learning to read a book (Holtsman/flickr)

For many, the word dyslexia represents painful struggles with reading and speech that impact their self-confidence –- 20 percent of school-aged children and over 40 million adults in the U.S. are dyslexic. Dyslexics are often very intelligent and can learn successfully with appropriate teaching methods, but early diagnosis and intervention are critical.

UC San Francisco (UCSF) researchers in the Dyslexia Program aim to predict whether children will develop dyslexia before they show signs of reading and speech problems, so early intervention can improve their quality of life.

“Early identification and interventions are extremely important in children with dyslexia as well as most neurodevelopmental disorders,” said Fumiko Hoeft, UCSF associate professor and member of the UCSF Dyslexia Center, in a press release. “Accumulation of research data such as ours may one day help us to identify kids who might be at risk for dyslexia, rather than waiting for children to become poor readers and experience failure.”

In a recent longitudinal study, Hoeft’s research team studied 38 young children using structural MRI to track their brain development between kindergarten and third grade as they formally learned to read in school. The participating children were healthy, native-English speakers with varying preliteracy skills and family histories of reading difficulties. They had MRI brain scans at age 5 or 6 and again 3 years later. At both time points, they also completed a battery of standardized tests, including reading and cognitive assessments.

In particular, the researchers were interested in the children’s white matter development, which is critical for perceiving, thinking and learning. They found that volume changes in the left hemisphere white matter in the temporo-parietal region (just behind and above the left ear) was highly predictive of reading outcomes. This region is known to be important for language, reading and speech.

Using MRI brain scans to measure these developmental changes improved the prediction accuracy of reading difficulties by 60%, compared to traditional assessments alone.

“What was intriguing in this study was that brain development in regions important to reading predicted above and beyond all these (other) measures,” said Hoelt.

Despite this predictive relationship, MRI brain imaging is unlikely to be a widespread means of diagnosis because of cost and time constraints. Instead, the researchers hope their findings lead to further investigation of what may be influencing the brain during this critical period of reading development.

The UCSF Dyslexia Center is also investigating cheaper methods for early diagnosis of reading problems. For example, they are collaborating with research labs worldwide to construct growth charts for the reading brain network, similar to those one would find in a doctor’s office for height and weight.

Since screening for reading disorder risk is currently a resource-intensive process, UCSF is also developing a tablet-based mobile health application that could be used by schools or parents as a fast, easy and cheap screening tool.

UCSF researchers hope that understanding each child’s neurocognitive profile will help educators provide improved, personalized education and interventions.

This is a repost of my KQED Science blog.

Advertisements
Explore posts in the same categories: Health

Tags: , , ,

You can comment below, or link to this permanent URL from your own site.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s


%d bloggers like this: