EEG Helps Predict Epileptic Seizures Minutes in Advance
FeaturedNeurologyNeuroscience10 min read
Summary: Researchers report EEG technology can help to predict the onset of epileptic seizures up to four minutes in advance. Additionally, acetate, an edible acid, may help to prevent seizures if they are detected with enough notice.
Source: UT Southwestern Medical Center.
Elizabeth Delacruz can't crawl or toddle around like most youngsters nearing their second birthday.
A rare metabolic disorder that decimated her mobility has also led to cortical blindness – her brain is unable to process images received from an otherwise healthy set of brown eyes. And multiple times a day Elizabeth suffers seizures that continually reduce her brain function. She can only offer an occasional smile or make soft bubbly sounds to communicate her mood.
"But a few months ago I heard her say, 'Mama,' and I started to cry," said Carmen Mejia, a subtle quaver in her voice as she recalled the joy of hearing her daughter. "That's the first time she said something."
Ms. Mejia realizes it may also be the last, unless doctors can find a way to detect and prevent the epileptic seizures stemming from a terminal disease called pyruvate dehydrogenase deficiency (PDHD) – which occurs when mitochondria don't provide enough energy for the cells.
A UT Southwestern study gives parents like Ms. Mejia renewed hope for their children: By monitoring the brain activity of a specific cell type responsible for seizures, scientists can predict convulsions at least four minutes in advance in both humans and mice. The research further shows that an edible acid called acetate may effectively prevent seizures if they are detected with enough notice.
Although the prediction strategy cannot yet be used clinically – a mobile technology for measuring brain activity would have to be developed – it signifies a potential breakthrough in a field that had only been able to forecast seizures a few seconds ahead.
"Many of the families I meet with are not just bothered by the seizures. The problem is the unpredictability, the not knowing when and where a seizure might occur," said Dr. Juan Pascual, a pediatric neurologist with UT Southwestern's O'Donnell Brain Institute who led the study published in Science Translational Medicine. "We've found a new approach that may one day solve this issue and hopefully help other scientists track down the root of seizures for many kinds of epilepsy."
Debunked theory
The critical difference between the study and previous efforts was debunking the long-held belief among researchers that most cells in epilepsy patients have malfunctioning mitochondria.
In fact, Dr. Pascual's team spent a decade developing a PDHD mouse model that enabled them to first discover the key metabolic defect in the brain and then determine only a single neuron type was responsible for seizures as the result of the metabolic defect. They honed in on these neurons' electrical activity with an electroencephalogram (EEG) to detect which brainwave readings signaled an upcoming seizure.
"It's much more difficult to predict seizures if you don't know the cell type and what its activity looks like on the EEG," Dr. Pascual said. "Until this finding, we thought it was a global deficiency in the cells and so we didn't even know to look for a specific type."
Predicting seizures
The study shows how a PDHD mouse model helped scientists trace the seizures to inhibitory neurons near the cortex that normally keep the brain's electrical activity in check.
Scientists then tested a method of calculating when seizures would occur in mice and humans by reviewing EEG files and looking for decreased activity in energy-deficient neurons. Their calculations enabled them to forecast 98 percent of the convulsions at least four minutes in advance.
Dr. Pascual is hopeful his lab can refine EEG analyses to extend the warning window by several more minutes. Even then, live, clinical predictions won't be feasible unless scientists develop technology to automatically interpret the brain activity and calculate when a seizure is imminent.
Still, he said, the discovery that a single cell type can be used to forecast seizures is a paradigm-shifting finding that may apply to all mitochondrial diseases and related epilepsies.
Potential therapy
Dr. Pascual's ongoing efforts to extend the prediction time may be a crucial step in utilizing the other intriguing finding from the study: the use of acetate to prevent seizures.
The study showed that delivering acetate into the blood stream of PDHD mice gave their neurons enough energy to normalize their activity and decrease seizures for as long as the acetate was in the brain.
However, Dr. Pascual said the acetate would probably need more time – perhaps 10 minutes or more – to take effect in humans if taken by mouth.
Acetate, which naturally occurs in some foods, has been used in patients for decades – including newborns needing intravenous nutrition or patients whose metabolism has shut down. But it had not yet been established as an effective treatment for mitochondrial diseases that underlie epilepsy.
Among the reasons, Dr. Pascual said, is that labs have struggled to create an animal model of such diseases to study its effects; his own lab spent about a decade doing so. Another is the widespread acceptance of the ketogenic diet to reduce the frequency of seizures.
But amid a growing concern about potentially unhealthy side effects of ketogenic diets, Dr. Pascual has been researching alternatives that may refuel the brain more safely and improve cognition.
Frequent seizures
Elizabeth, among a handful of patients whose EEG data were used in the new study, has been prescribed a ketogenic diet and some vitamins to control the seizures.
Her family has seen little improvement. Elizabeth often has more than a dozen seizures a day and her muscles and cognition continue to decline. She can't hold her head up and her mother wonders how many more seizures her brain can take.
Elizabeth was only a few months old when she was diagnosed with PDHD, which occurs when cells lack certain enzymes to efficiently convert food into energy. Patients who show such early signs often don't survive beyond a few years.
Ms. Mejia does what she can to comfort her daughter, with the hope that Dr. Pascual's work can someday change the prognosis for PDHD. Ms. Mejia sings, talks, and offers stuffed animals and other toys to her daughter. Although her little girl can't see, the objects offer a degree of mental stimulation, she said.
Elizabeth Delacruz was diagnosed with cortical blindness by 8 months of age, a repercussion of a rare metabolic disease that causes frequent seizures and deteriorates brain function and mobility. NeuroscienceNews.com image is credited to the researchers.
"It's so hard to see her go through this," Ms. Mejia said. "Every time she has a seizure, her brain is getting worse. I still hope one day she can get a treatment that could stop all this and make her life better."
'Big questions'
Dr. Pascual is already conducting further research into acetate treatments, with the goal of launching a clinical trial for patients like Elizabeth in the coming years.
His lab is also researching other epilepsy conditions – such as glucose transporter type I (Glut1) deficiency – to determine if inhibitory neurons in other parts of the brain are responsible for seizures. If so, the findings could provide strong evidence for where scientists should look in the brain to detect and prevent misfiring neurons.
"It's an exciting time, but there is much that needs to happen to make this research helpful to patients," Dr. Pascual said. "How do we find an automated way of detecting neuron activity when patients are away from the lab? What are the best ways to intervene when we know a seizure is coming? These are big questions the field still needs to answer."
About this neuroscience research article
Funding: The study was supported by the National Institutes of Health, The Once Upon a Time Foundation, and patient donations.
Collaborators who helped Dr. Pascual develop the PDHD mouse model include Drs. Vikram Jakkamsetti, Isaac Marin-Valencia, and Qian Ma.
Dr. Pascual is a Professor of Neurology & Neurotherapeutics, Pediatrics, and Physiology with the Peter O'Donnell Jr. Brain Institute and the Eugene McDermott Center for Human Growth and Development. He is holder of The Once Upon a Time Foundation Professorship in Pediatric Neurologic Diseases and the Ed and Sue Rose Distinguished Professorship in Neurology.
Source: James Beltran – UT Southwestern Medical Center
Publisher: Organized by NeuroscienceNews.com.
Image Source: NeuroscienceNews.com image is credited to the researchers.
Original Research: Abstract for "Brain metabolism modulates neuronal excitability in a mouse model of pyruvate dehydrogenase deficiency" by Vikram Jakkamsetti, Isaac Marin-Valencia, Qian Ma, Levi B. Good, Tyler Terrill, Karthik Rajasekaran, Kumar Pichumani, Chalermchai Khemtong, M. Ali Hooshyar, Chandrasekhar Sundarrajan, Mulchand S. Patel, Robert M. Bachoo, Craig R. Malloy and Juan M. Pascual in Science Translational Medicine. Published February 20 2019.
doi:10.1126/scitranslmed.aan0457
UT Southwestern Medical Center"EEG Helps Predict Epileptic Seizures Minutes in Advance." NeuroscienceNews. NeuroscienceNews, 20 February 2019.
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Brain metabolism modulates neuronal excitability in a mouse model of pyruvate dehydrogenase deficiency
Glucose is the ultimate substrate for most brain activities that use carbon, including synthesis of the neurotransmitters glutamate and γ-aminobutyric acid via mitochondrial tricarboxylic acid (TCA) cycle. Brain metabolism and neuronal excitability are thus interdependent. However, the principles that govern their relationship are not always intuitive because heritable defects of brain glucose metabolism are associated with the paradoxical coexistence, in the same individual, of episodic neuronal hyperexcitation (seizures) with reduced basal cerebral electrical activity. One such prototypic disorder is pyruvate dehydrogenase (PDH) deficiency (PDHD). PDH is central to metabolism because it steers most of the glucose-derived flux into the TCA cycle. To better understand the pathophysiology of PDHD, we generated mice with brain-specific reduced PDH activity that paralleled salient human disease features, including cerebral hypotrophy, decreased amplitude electroencephalogram (EEG), and epilepsy. The mice exhibited reductions in cerebral TCA cycle flux, glutamate content, spontaneous, and electrically evoked in vivo cortical field potentials and gamma EEG oscillation amplitude. Episodic decreases in gamma oscillations preceded most epileptiform discharges, facilitating their prediction. Fast-spiking neuron excitability was decreased in brain slices, contributing to in vivo action potential burst prolongation after whisker pad stimulation. These features were partially reversed after systemic administration of acetate, which augmented cerebral TCA cycle flux, glutamate-dependent synaptic transmission, inhibition and gamma oscillations, and reduced epileptiform discharge duration. Thus, our results suggest that dysfunctional excitability in PDHD is consequent to reduced oxidative flux, which leads to decreased neuronal activation and impaired inhibition, and can be mitigated by an alternative metabolic substrate.
EEGEpilepsymetabolismneurobiologyNeurologyNeuroscienceneurotechPHDHpyruvate dehydrogenase deficiencyseizuresTCA cycleUT Southwestern Medical Center