Does exposure to stress early in life affect a baby’s brain development, and is there a way to single out babies who might benefit from early intervention? A two-center study led by Boston Children’s Hospital, published today in JAMA Pediatrics, used brain EEGs to begin to get at these questions in an objectively measurable way. It found that infants whose mothers reported high levels of stress have a distinct pattern of brain activity as measured by EEG — at only 2 months of age.
“The EEG has been found to be exquisitely sensitive to perturbations in the environment, and thus we are not entirely surprised to see an association between stress in a mother’s life and her infant’s brain activity,” says Charles Nelson, PhD, director of the Laboratories of Cognitive Neuroscience at Boston Children’s Hospital and the study’s senior investigator. “What we were surprised by, in part, was how early in life we see this association.”
The Diagnostic and Statistical Manual, 5th edition (DSM-5) established a single diagnosis of autism spectrum disorder (ASD) that includes Asperger’s syndrome, formerly considered a separate condition. The change was meant to eliminate diagnostic ambiguities, but it has encouraged schools to take a “one size fits all” approach, putting all children with autistic features in the same classroom.
This concerns many parents and professionals. “Typically, such classrooms focus on the more severely impaired, often non-verbally communicative children without helping the higher functioning children, such as those with Asperger’s,” says Heidelise Als, PhD, a psychologist at Boston Children’s Hospital.
Als and her co-investigator Frank Duffy, MD, a neurologist at Boston Children’s, decided to take an unbiased look at children diagnosed with autism, using data from their EEGs. In a paper in BMC Neurology, they conclude that autism is not a single entity, but falls into two distinct clusters — ripe for additional investigation.
Electroencephalography (EEG), which records electrical discharges in the brain, is a well-established technique for measuring brain activity. But current EEG electrode arrays, even placed directly on the brain, cannot distinguish the activity of different types of brain cells, instead averaging signals from a general area. Nor is it possible to easily compare EEG data with brain imaging data.
A collaboration between neuroscientist Michela Fagiolini, PhD at Boston Children’s Hospital and engineer Hui Fang, PhD at Northeastern University has led to a highly miniaturized, see-through EEG device. It promises to be much more useful for understanding the brain’s workings. …
The earlier autism can be diagnosed, the more effective interventions typically are. But the signs are often subtle or can be misinterpreted at young ages. As a result, many children aren’t diagnosed until age 2 or even older. Now, a study shows that electroencephalograms (EEGs), which measure the brain’s electrical activity, can accurately predict or rule out autism spectrum disorder (ASD) in babies as young as 3 months old. It appears today in Scientific Reports.
The beauty of EEG is that it’s already used in many pediatric neurology or developmental pediatric settings. “EEGs are low-cost, non-invasive and relatively easy to incorporate into well-baby checkups,” says study co-author Charles Nelson, PhD, director of the Laboratories of Cognitive Neuroscience at Boston Children’s Hospital. “Their reliability in predicting whether a child will develop autism raises the possibility of intervening very early, well before clear behavioral symptoms emerge.” …
In the U.S., about one in 100 people have some form of epilepsy. A third of those people have seizures that cannot be controlled with drugs, eventually requiring surgery to remove the area of their brain tissue that is triggering seizure activity.
“If you can identify and surgically remove the entire epileptogenic zone, you will have a patient who is seizure-free,” says Christos Papadelis, PhD, who leads the Boston Children’s Brain Dynamics Laboratory in the Division of Newborn Medicine and is an assistant professor in pediatrics at Harvard Medical School.
Even experts in this field were skeptical for years about the non-invasive detection of HFOs. But now, thanks to our study and other researchers’ work, these people are changing their minds. At present, however, these surgeries are not always successful. Current diagnostics lack the ability to determine precisely which parts of an individual’s brain are inducing his or her seizures, called the epileptogenic zone. In addition, robust biomarkers for the epileptogenic zone have been poorly established.
But now, a team at Boston Children’s Hospital is doing research to improve pre-surgical pinpointing of the brain’s epileptogenic zone. They are using a newly-established biomarker for epilepsy — fast brain waves called high-frequency oscillations (HFOs) — that can be detected non-invasively using scalp electroencephalography (EEG) and magnetoencephalography (MEG). …
Attention deficit disorder (ADD), with or without hyperactivity, affects up to 5 percent of the population, according to the DSM-5. It can be difficult to diagnose behaviorally, and coexisting conditions like autism spectrum disorder or mood disorders can mask it.
While recent MRI studies have indicated differences in the brains of people with ADD, the differences are too subtle and MRI too expensive to be a practical diagnostic measure. But new research suggests a role for an everyday, relatively cheap alternative: electroencephalography (EEG). …
Status epilepticus, a life-threatening form of persistent seizure activity in the brain, is challenging to treat. It requires hospitalization in an intensive care unit, constant monitoring and meticulous medication adjustment. An automated, intelligent monitoring system developed by clinicians and engineers at Boston Children’s Hospital could transform ICU care for this neurological emergency.
Typically, children in status epilepticus are first given powerful, short-acting seizure medications. If their seizures continue, they may need to be placed in a medically induced coma, using long-acting sedatives or general anesthetics. “The goal,” explains biomedical engineer Christos Papadelis, PhD, “is to supply enough sedating medication to suppress brain activity and protect the brain from damage, while at the same time avoiding over-sedation.” …
Ed note: The Obama administration is expected to unveil plans for a decade-long Brain Activity Map project next month. This is Part One of a two-part series on brain mapping.
It’s now pretty well accepted that autism is a disorder of brain connectivity—demonstrated visually with advanced MRI techniques that can track the paths of nerve fibers. Recent exciting work analyzing EEG recordings supports the idea of altered connectivity, while suggesting the possibility of a diagnostic test for autism.
But what’s happening on a functional level? A study published this week zooms out to take a 30,000-foot view, tracking how the brain routes information in children with autism—in much the way airlines and electrical grids are mapped—and assessing the function of the network as a whole.
“What we found may well change the way we look at the brains of autistic children,” says investigator Jurriaan Peters, MD, of the Department of Neurology at Boston Children’s Hospital. …
Bill Bosl is used to looking for patterns. A computer scientist trained in atmospheric physics, geophysics and mathematics, he’s invented a method for computing properties of porous materials from CT scans. At the Lawrence Livermore National Lab, he worked on remote sensing problems, reading complex wave patterns to discern the location of groundwater, oil deposits and fault lines.
Today, he’s trying to measure thought – to compute what’s going on in hard-to-understand disorders like autism, which is currently diagnosed purely on the basis of behavior. “The mathematical methods are very similar,” he says. “You’re analyzing waves.”
The waves in this case are electroencephalograms (EEGs), those squiggly lines generated by electrical activity in the brain. In autism, …