A new study has uncovered a molecular difference in the brains of people with autism that is linked to the central features associated with the condition.
It is the first time that synaptic density has been measured in living people with autism.
For decades, researchers have relied on animal models and post-mortem subjects to help unlock the key to certain social and communication differences that are hallmarks of autism.
Using positron emission tomography (PET) scans, the researchers found that the brains of adults with autism have fewer synapses—crucial junctions where nerve cells send signals to and from each other or other types of cells—than the brains of neurotypical people.
Furthermore, the research team found that the fewer synapses an individual had, the more features of autism they exhibited.
The findings appear in Molecular Psychiatry.
“As simple as our findings sound, this is something that has eluded our field for the past 80 years,” says James McPartland, a professor in the Yale Child Study Center and the study’s principal investigator.
“And this is truly remarkable—because it’s very unusual to see correlations between brain differences and behavior this strong in a condition as complex and heterogenous as autism.”
There are several different theories about brain differences in individuals with autism, and atypical connectivity has been at the root of a number of these hypotheses. This has made synapses a prime area to investigate.
“Synapses are the way neurons communicate,” says Adam Naples, assistant professor in the Child Study Center and co-investigator on the study. “They’re the fundamental mechanism for how information moves around the brain and is computed.”
Previous studies have measured synaptic connectivity in indirect ways such as through animal models or post-mortem studies.
“It’s like trying to figure out what something is by looking at the shadow it casts on the wall,” says McPartland. But the introduction of a new element in the PET scanning protocol permitted McPartland and his team to see connectivity directly—in living human beings—for the very first time.
Before the study, all of the subjects participated in a clinician interview. Given the complexity of autism, clinicians used the Autism Diagnostic Observation Schedule (ADOS)—the gold standard for diagnosing autism—to evaluate participants for the condition. Participants also filled out self-report questionnaires about their own experiences living with autism, such as difficulty with social interactions or sensory issues. The researchers ruled out any potential subjects with medical conditions or neuropsychiatric disabilities that could influence the study’s findings. In total, 12 adults with autism and 20 neurotypical adults participated in the research.
Then, each participant underwent a brain scan using both magnetic resonance imaging (MRI) and PET technology. The MRI scan allowed researchers to visualize each participant’s brain anatomy in great detail. Before the PET scan, the researchers injected a novel radiotracer known as 11C‑UCB‑J, which was developed with the Yale PET Center, and which enabled them to measure synaptic density in the brain.
The researchers found that people with autism had 17% lower synaptic density across the whole brain compared to neurotypical individuals. Furthermore, they found that lower synaptic density was significantly correlated to the number of social-communication differences, such as reduced eye contact, repetitive behaviors, and difficulty understanding social cues, in these individuals. In other words, the fewer synapses a person had, the greater number of traits of autism they showed.
Understanding autism mechanisms could help with diagnosis and support
A major limiting factor in clinicians’ ability to understand and offer support for people with autism, says McPartland, is the lack of a mechanistic understanding of the condition.
“Today’s diagnostic criteria [which predate this new study] involve descriptions of behavior that are broad and pretty vague,” he explains.
“We could be so much more effective in figuring out whether and what supports are needed if we could aid our clinical decisions with an understanding of the biology of autism.”
Investigating the underlying mechanisms of autism could also help researchers better define subgroups within the condition.
“We historically had the hubris to think we could create subgroups without this understanding,” McPartland says.
The Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV), which was published in 1994, divided autistic spectrum disorders (ASD) into Asperger’s syndrome, pervasive developmental disorder not otherwise specified (PDD-NOS), and autistic disorder.
“Then in the DSM-5, we had to swallow our pride and throw these categories away because they weren’t working.”
Today, the DSM-5 defaults to one broad, non-specific category of ASD. McPartland hopes his work will help pave the way for parsing autism into better defined subgroups, which will in turn help clinicians better understand the wide range of features individuals with autism may present with.
It is still unclear whether people with autism are born with fewer synapses, or if this difference occurs as a result of living with autism. But PET scans could one day potentially help clinicians anticipate a child’s prognosis and enable the care team to administer appropriate interventions earlier.
“This is the dream—to be able to give biologic confirmation to patients and their families,” says David Matuskey, associate professor of radiology and biomedical imaging, and the study’s first author. “That would change everything.”
In future studies, the team is investigating the use of nonradioactive approaches that are less expensive than PET scans for directly studying the autistic brain. They are also interested in measuring synapses in adolescent brains to better understand how this may evolve as an individual ages.
Finally, the team plans to explore how their findings relate to other outcomes associated with autism. For instance, individuals with autism are at a higher risk of mental health issues such as depression or anxiety than neurotypical people.
“This is something that’s really important for us to investigate to serve our overarching goal, which is to get information that can maximize the quality of life for autistic people” says McPartland.
Source: Yale
