Tag: Traumatic Brain Injury

  • A collaboration between McGill University’s Healthy Brains, Healthy Lives and the Brain Canada Foundation, the Amazing Brain Science Talks took place at McGill University on October 14, 2023.

    This event, designed to demystify brain science for a wide audience, featured enlightening talks by Canadian brain health experts and speakers with lived experiences on a variety of topics, from neurodiversity and anxiety to the power of sleep and exercise.

    Watch now to learn more about brain health and the extraordinary capabilities of the human brain.


  • Published October 25, 2023 on the Djavad Mowafaghian Centre for Brain Health website

    The swelling of neurons in the brain is triggered by conditions like stroke or traumatic brain injury. Neuron swelling can cause these cells to die, resulting in extensive brain damage and even death. But until now, it hasn’t been clear what causes the death of neurons during injury-induced swelling.

    Now, in a paper recently published in Cell Reports, Dr. Brian MacVicar and his team provide new evidence for the mechanisms of neuronal death by examining the role that a channel called Pannexin-1 (Panx1) plays in this process. This follows the first demonstration over 20 years ago in Dr. MacVicar’s lab of the involvement of Panx1 in contributing to the death of brain cells in stroke (Science 2006) and seizures (Science 2008).

    Dr. MacVicar and his team found that the swelling of neurons generates oxidative stress, which is a harmful chemical reaction in the cells that triggers Panx1 channels to open and can then lead to the death of brain cells.

    “However, Panx1 has a double-edged role because while it can kill the neuron, it also triggers a protective response,” says Dr. Nicholas Weilinger, a research associate in the MacVicar lab and the paper’s lead author. “Panx1 channels release a molecule called ATP, which is like a ‘help me’ signal drawing microglia to the swollen nerve cells.”

    Microglia are immune cells in the brain. With finger-like projections that are constantly surveying the environment around them, they are part of the brain’s defense mechanisms and act like first responders to protect against harm.

    “It’s been described as a soothing touch,” Dr. MacVicar explains. “When microglial cells touch the nerve cell, it repairs and protects the neuron from dying.”

    In this study, researchers used a combination of electrophysiology to record electrical activity in neurons and two-photon laser microscopy to image the structure of nerve cells, which is important for quantifying how cells swell over time and also to observe how microglia respond.

    When considering potential therapeutic targets, Dr. Weilinger notes that if Panx1 channels could be blocked from opening and causing the initial death process in the first place, this would mean that the microglia would not need to be called upon to save the cell. This is the quicker and more ideal intervention and holds a lot of promise down the road for translational medicine.

    “On the other hand, one of the biggest outstanding questions is how the protective aspect of the microglia-neuron interaction takes place,” says Dr. Weilinger. “If we knew how the microglia were exerting its protective effect, then we could try to amplify this process to improve its healing power. This would be a huge breakthrough for many neurological disorders.”

    To illustrate the devastating effects of brain swelling, Dr. MacVicar notes the example of race car driver Michael Schumacher, who suffered a traumatic brain injury due to a skiing accident in 2013. He had to undergo various surgeries and was also placed in a medically induced coma to reduce pressure and prevent his brain from further swelling.

    “Current treatments for brain swelling are morbid and they only attempt to alleviate the swelling but don’t address the initial cause of the swelling,” says Dr. MacVicar. “So ultimately, if we can prevent neuron swelling in the first place, then we can prevent brain cell death.”


  • Two graduate students from Western University have developed a ground-breaking method for predicting which intensive care unit (ICU) patients will survive a severe brain injury, reports Canada’s Western University in Western News.

    Matthew Kolisnyk and Karnig Kazazian, PhD candidates at Schulich School of Medicine & Dentistry in the lab of renowned neuroscientist Adrian Owen, combined functional magnetic resonance imaging (fMRI) with state-of-the art machine learning techniques to tackle one of the most complex issues in critical care.

    Whether it is the result of a stroke, cardiac arrest or traumatic brain injury, lives can forever be changed by a serious brain injury. When patients are admitted to the ICU, families are faced with tremendous uncertainty. Will my loved one recover? Are they aware of what is going on? Will they ever be the same again? Despite these essential questions, health-care professionals are equally uncertain about the potential of a good recovery.

    “For years we’ve lacked the tools and techniques to know who is going to survive a serious brain injury,” said Adrian Owen.

    An interdisciplinary team of researchers from Western, in collaboration with neurologists at London Health Sciences Centre and Lawson Health Research Institute sought to find a solution to this problem. They were led by Loretta Norton, a psychology professor at King’s University College at Western, who was one of the first researchers in the world to measure brain activity in the ICU.

    The team measured brain activity in 25 patients at one of London’s two ICUs in the first few days after a serious brain injury and tested whether it could predict who would survive and who would not.

    “We previously found that information about the potential for recovery in these patients was captured in the way different brain regions communicate with each other,” said Norton. “Intact communication between brain regions is an important factor for regaining consciousness.”

    The breakthrough occurred when the team realized they could combine this imaging technique with an application of AI known as machine learning. They found they could predict patients who would recover with an accuracy of 80 per cent, which is higher than the current standard of care.

    “Modern artificial intelligence has shown incredible predictive capabilities. Combining this with our existing imaging techniques was enough to better predict who will recover from their injuries,” said Kolisnyk.

    While encouraging, the researchers say the prediction was not perfect and needs further research and testing.

    “Given that these models learn best when they have lots of data, we hope our findings will lead to further collaborations with ICUs across Canada,” said Kazazian.

    The study was published in Journal of Neurology.

    Kolisnyk M, Kazazian K, Rego K, Novi SL, Wild CJ, Gofton TE, Debicki DB, Owen AM, Norton L. Predicting neurologic recovery after severe acute brain injury using resting-state networks. J Neurol. 2023 Dec;270(12):6071-6080. doi: 10.1007/s00415-023-11941-6. Epub 2023 Sep 4. Erratum in: J Neurol. 2023 Oct 13;: PMID: 37665382.


  • Traumatic brain injuries are considered to be an invisible condition. We can’t often see the effects and 50% of patients experience personality change, irritability, anxiety, and depression after concussion. Repeat traumatic brain injuries may increase your risk for a condition called Chronic Traumatic Encephalopathy (CTE).

    Dr. Carmela Tartaglia’s research looks to identify diagnostic tools to predict if an individual could develop CTE after sustaining repeat head injuries. Dr. Tartaglia’s team is looking at implementing tools that target a protein called Tau, which is known to be elevated in CTE. In combination with other tests and screening methods, the hope is to be able to predict the progression of CTE, while implementing therapeutic strategies early on in the disease. (more…)