Parkinson’s Disease Destroyed My Life. Then I Tried Deep Brain Stimulation.
[Editor's Note: On June 6, 2017, Anne Shabason, an artist, hospice educator, and mother of two from Bolton, Ontario, a small town about 30 miles outside of Toronto, underwent Deep Brain Stimulation (DBS) to treat her Parkinson's disease. The FDA approved DBS for Parkinson's disease in 2002. Although it's shown to be safe and effective, agreeing to invasive brain surgery is no easy decision, even when you have your family and one of North America's premier neurosurgeons at your side.
Here, with support from Stan, her husband of the past 40 years, Anne talks about her life before Parkinson's, what the disease took away, and what she got back because of DBS. As told to writer Heather R. Johnson.]
I was an artist.
I worked in mixed media, Papier-mâché, and collage, inspired by dreams, birds, mystery. I had gallery shows and participated in studio tours.
Educated in thanatology, I worked in hospice care as a volunteer and education director for Hospice Caledon, an organization that supports people facing life-limiting illness and grief.
I trained volunteers who helped people through their transition.
Parkinson's disease changed all that.
My hands and my head were not coordinating, so it was impossible to do my art.
It started as a twitch in my leg. During a hospice workshop, my right leg started vibrating in a way I hadn't experienced before. I told a friend, "This can't be good."
Over the next year, my right foot vibrated more and more. I could not sleep well. In my dreams people lurked in corners, in dark places, and behind castle doors. I knew they were there and couldn't avoid the ambush. I shrieked and woke everyone in the house.
An anxiety attack—something I had also never experienced before—came next.
During a class I was teaching, my mouth got so dry, I couldn't speak. I stood in front of the class for three or four minutes, unable to continue. I pushed through and finished the class. That's when I realized this was more than jiggling legs.
That's when I went to see a doctor.
A Diagnosis
My first doctor, when I suggested it might be Parkinson's, didn't believe me. She sent me to a neurologist who told me I had to meditate more and calm myself.
A friend from hospice told me to phone the Toronto Western Hospital Movement Disorders Clinic. In January 2010, I was diagnosed with Parkinson's disease.
The doctor, a fellow, got all my stats and asked a lot of questions. He was so excited he knew what it was, he exclaimed, "You've got Parkinson's!" like it was the best thing ever. I must say, that wasn't the best news, but at least I finally had a diagnosis.
I could choose whether to take medication or not. The doctor said, "If Parkinson's is compromising your lifestyle, you should consider taking levodopa."
"Well I can't run my classes, I can't do my art, so it's compromising me," I said. And my health was going downhill. The shaking—my whole body moved—sleeping was horrible. Two to four hours max a night was usual. I had terrible anxiety and panic attacks and had to quit work.
So I started taking levodopa. It's taken in a four-hour cycle, but the medication didn't last the full time. I developed dyskenisia, a side effect of the medication that made me experience uncontrolled, involuntary movements. I was edgy, irritable, and focused on my watch like a drug addict. I'd lie on the couch, feel crummy and tired, and wait.
The medication cycle restricted where I could go. Fearing the "off" period, I avoided interaction with lifelong friends, which increased my feeling of social isolation. They would come over and cook with me and read to me sometimes, and that was fine, as long as it was during an "on" period.
There was incontinence, constipation, and fatigue.
I lost fine motor skills, like writing. And painting. My hands and my head were not coordinating, so it was impossible to do my art.
It was a terrible time.
The worst symptoms—what pushed me to consider DBS—were the symptoms no one could see. The anxiety and depression were so bad, the sleeplessness, not eating.
I projected a lot of my discomforts onto Stan. I reacted so badly to him. I actually separated from him briefly on two separate occasions and lived in a separate space—a self-imposed isolation. There wasn't anything he could do to help me really except sit back and watch.
I tried alternative therapies—a naturopath, an osteopath, a reflexologist and a Chinese medicine practitioner—but nothing seemed to help.
I felt like I was dying. Certain parts of my life were being taken away from me. I was a perfectionist, and I felt imperfect. It was a horrible feeling, to not be in control of myself.
The DBS Decision
I was familiar with DBS, a procedure that involves a neurosurgeon drilling small holes into your skull and implanting electrical leads deep in your brain to modify neural activity, reducing involuntary movements.
But I was convinced I'd never do it. I was brought up in a family that believed 'doctors make you sick and hospitals kill you.'
I worried the room wouldn't be sterile. Someone's cutting into your brain, you don't know what's going to happen. They're putting things in your body. I didn't want to risk possible infection.
And my doctor said he couldn't promise he would actually do the operation. It might be a fellow, but he'd be in the background in case anything went wrong. I wasn't comfortable with that arrangement.
When filmmakers Taryn Southern and Elena Gaby decided to make a documentary about people whose lives were changed by cutting-edge brain implants--and I agreed to participate—my doctor said he would for sure do the operation. They couldn't risk anything happening on the operating table on camera, so most of my fears went away.
My family supported the decision. My mother had trigeminal neuralgia, which is a very painful facial condition. She also had a stroke and what we now believe to be Parkinson's. My father, a retired dentist, managed her care and didn't give her the opportunity to see a specialist.
I felt them running the knife across my scalp, and drilling two holes in my head, but only as pressure, not pain.
When we were talking about DBS, my son, Joseph, said, "How can you not do this, for the sake of your family? Because if you don't, you'll end up like Grandma, who, for the last few years of her life, just lay on a couch because she didn't get any kind of outside help. If you even have a chance to improve your life or give yourself five extra years, why wouldn't you do that, for our sake? Are we not worth that?"
That talk really affected me, and I realized I had to try. Even though it was difficult, I had to be brave for my family.
Surgery, Recovery, and Tweaking
You have to be awake for part of the procedure—I was awake enough that my subconscious could hear, because they had to know how far to insert the electrodes. DBS targets the troublemaking areas of the brain. There's a one millimeter difference between success and failure.
I felt them running the knife across my scalp, and drilling two holes in my head, but only as pressure, not pain.
Once they were inside, they asked me to move parts of my body to see whether the right neurons were activated.
They put me to sleep to put a battery-powered neurostimulator in my chest. A wire that runs behind my ear and down my neck connects the electrodes in my brain to the battery pack. The neurostimulator creates electric pulses 24 hours a day.
I was moving around almost immediately after surgery. Recovery from the stitches took a few weeks, but everything else took a lot longer.
I couldn't read. My motor skills were still impaired, and my brain and my hands weren't yet linked up. I needed the device to be programmed and tweaked. Until that happened, I needed help.
The depression and anxiety, though, went away almost immediately. From that perspective, it was like I never had Parkinson's. I was so happy.
When they calibrated the electrodes, they adjusted how much electrical current goes to any one of four contact points on the left and right sides of the brain. If they increased it too much, a leg would start shaking, a foot would start cramping, or my tongue would feel thicker. It took a while to get it calibrated correctly to control the symptoms.
First it was five sessions in five weeks, then once a month, then every three months. Now I visit every six months. As the disease progresses, they have the ability to keep making adjustments. (DBS controls the symptoms, but it doesn't cure the disease.)
Once they got the calibration right, my motor skills improved. I could walk without shuffling. My muscles weren't stiff and aching, and the dyskinesia disappeared. But if I turn off the device, my symptoms return almost immediately.
Some days I have more fatigue than others, and sometimes my brain doesn't click. And my voice got softer – that's a common side effect of this operation. But I'm doing so much better than before.
I have a quality of life I didn't have before. Before COVID-19 hit, Stan and I traveled, went to concerts, movies, galleries, and spent time with our growing family.
Anne in her home studio with her art, 2019.
I cut back the levodopa from seven-and-a-half pills a day to two-and-a-half. I often forget to take my medication until I realize I'm feeling tired or anxious.
Best of all, my motivation and creative ability have clicked in.
I am an artist—again.
I'm painting every day. It's what is keeping me sane. It's my saving grace.
I'm not perfect. But I am Anne. Again.
Two-and-a-half year-old Huckleberry, a blue merle Australian shepherd, pulls hard at her leash; her yelps can be heard by skiers and boarders high above on the chairlift that carries them over the ski patrol hut to the top of the mountain. Huckleberry is an avalanche rescue dog — or avy dog, for short. She lives and works with her owner and handler, a ski patroller at Breckenridge Ski Resort in Colorado. As she watches the trainer play a game of hide-and-seek with six-month-old Lume, a golden retriever and avy dog-in-training, Huckleberry continues to strain on her leash; she loves the game. Hide-and-seek is one of the key training methods for teaching avy dogs the rescue skills they need to find someone caught in an avalanche — skier, snowmobiler, hiker, climber.
Lume’s owner waves a T-shirt in front of the puppy. While another patroller holds him back, Lume’s owner runs away and hides. About a minute later — after a lot of barking — Lume is released and commanded to “search.” He springs free, running around the hut to find his owner who reacts with a great amount of excitement and fanfare. Lume’s scent training will continue for the rest of the ski season (Breckenridge plans operating through May or as long as weather permits) and through the off-season. “We make this game progressively harder by not allowing the dog watch the victim run away,” explains Dave Leffler, Breckenridge's ski patroller and head of the avy dog program, who has owned, trained and raised many of them. Eventually, the trainers “dig an open hole in the snow to duck out of sight and gradually turn the hole into a cave where the dog has to dig to get the victim,” explains Leffler.
By the time he is three, Lume, like Huckleberry, will be a fully trained avy pup and will join seven other avy dogs on Breckenridge ski patrol team. Some of the team members, both human and canine, are also certified to work with Colorado Rapid Avalanche Deployment, a coordinated response team that works with the Summit County Sheriff’s office for avalanche emergencies outside of the ski slopes’ boundaries.
There have been 19 avalanche deaths in the U.S. this season, according to avalanche.org, which tracks slides; eight in Colorado. During the entirety of last season there were 17. Avalanche season runs from November through June, but avalanches can occur year-round.
High tech and high stakes
Complementing avy dogs’ ability to smell people buried in a slide, avalanche detection, rescue and recovery is becoming increasingly high tech. There are transceivers, signal locators, ground scanners and drones, which are considered “games changers” by many in avalanche rescue and recovery
For a person buried in an avalanche, the chance of survival plummets after 20 minutes, so every moment counts.
A drone can provide thermal imaging of objects caught in a slide; what looks like a rock from far away might be a human with a heat signature. Transceivers, also known as beacons, send a signal from an avalanche victim to a companion. Signal locators, like RECCO reflectors which are often sewn directly into gear, can echo back a radar signal sent by a detector; most ski resorts have RECCO detector units.
Research suggests that Ground Penetrating Radar (GPR), an electromagnetic tool used by geophysicists to pull images from inside the ground, could be used to locate an avalanche victim. A new study from the Department of Energy’s Sandia National Laboratories suggests that a computer program developed to pinpoint the source of a chemical or biological terrorist attack could also be used to find someone submerged in an avalanche. The search algorithm allows for small robots (described as cockroach-sized) to “swarm” a search area. Researchers say that this distributed optimization algorithm can help find avalanche victims four times faster than current search mechanisms. For a person buried in an avalanche, the chance of survival plummets after 20 minutes, so every moment counts.
An avy dog in training is picking up scent
Sarah McLear
While rescue gear has been evolving, predicting when a slab will fall remains an emerging science — kind of where weather forecasting science was in the 1980s. Avalanche forecasting still relies on documenting avalanches by going out and looking,” says Ethan Greene, director of the Colorado Avalanche Information Center (CAIC). “So if there's a big snowstorm, and as you might remember, most avalanches happened during snowstorms, we could have 10,000 avalanches that release and we document 50,” says Greene. “Avalanche forecasting is essentially pattern recognition,” he adds--and understanding the layering structure of snow.
However, determining where the hazards lie can be tricky. While a dense layer of snow over a softer, weaker layer may be a recipe for an avalanche, there’s so much variability in snowpack that no one formula can predict the trigger. Further, observing and measuring snow at a single point may not be representative of all nearby slopes. Finally, there’s not enough historical data to help avalanche scientists create better prediction models.
That, however, may be changing.
Last year, an international group of researchers created computer simulations of snow cover using 16 years of meteorological data to forecast avalanche hazards, publishing their research in Cold Regions Science and Technology. They believe their models, which categorize different kinds of avalanches, can support forecasting and determine whether the avalanche is natural (caused by temperature changes, wind, additional snowfall) or artificial (triggered by a human or animal).
With smell receptors ranging from 800 million for an average dog, to 4 billion for scent hounds, canines remain key to finding people caught in slides.
With data from two sites in British Columbia and one in Switzerland, researchers built computer simulations of five different avalanche types. “In terms of real time avalanche forecasting, this has potential to fill in a lot of data gaps, where we don't have field observations of what the snow looks like,” says Simon Horton, a postdoctoral fellow with the Simon Fraser University Centre for Natural Hazards Research and a forecaster with Avalanche Canada, who participated in the study. While complex models that simulate snowpack layers have been around for a few decades, they weren’t easy to apply until recently. “It's been difficult to find out how to apply that to actual decision-making and improving safety,” says Horton. If you can derive avalanche problem types from simulated snowpack properties, he says, you’ll learn “a lot about how you want to manage that risk.”
The five categories include “new snow,” which is unstable and slides down the slope, “wet snow,” when rain or heat makes it liquidly, as well as “wind-drifted snow,” “persistent weak layers” and “old snow.” “That's when there's some type of deeply buried weak layer in the snow that releases without any real change in the weather,” Horton explains. “These ones tend to cause the most accidents.” One step by a person on that structurally weak layer of snow will cause a slide. Horton is hopeful that computer simulations of avalanche types can be used by scientists in different snow climates to help predict hazard levels.
Greene is doubtful. “If you have six slopes that are lined up next to each other, and you're going to try to predict which one avalanches and the exact dimensions and what time, that's going to be really hard to do. And I think it's going to be a long time before we're able to do that,” says Greene.
What both researchers do agree on, though, is that what avalanche prediction really needs is better imagery through satellite detection. “Just being able to count the number of avalanches that are out there will have a huge impact on what we do,” Greene says. “[Satellites] will change what we do, dramatically.” In a 2022 paper, scientists at the University of Aberdeen in England used satellites to study two deadly Himalayan avalanches. The imaging helped them determine that sediment from a 2016 ice avalanche plus subsequent snow avalanches contributed to the 2021 avalanche that caused a flash flood, killing over 200 people. The researchers say that understanding the avalanches characteristics through satellite imagery can inform them how one such event increases the magnitude of another in the same area.
Avy dogs trainers hide in dug-out holes in the snow, teaching the dogs to find buried victims
Sarah McLear
Lifesaving combo: human tech and Mother Nature’s gear
Even as avalanche forecasting evolves, dogs with their built-in rescue mechanisms will remain invaluable. With smell receptors ranging from 800 million for an average dog, to 4 billion for scent hounds, canines remain key to finding people caught in slides. (Humans in comparison, have a meager 12 million.) A new study published in the Journal of Neuroscience revealed that in dogs smell and vision are connected in the brain, which has not been found in other animals. “They can detect the smell of their owner's fingerprints on a glass slide six weeks after they touched it,” says Nicholas Dodman, professor emeritus at Cummings School of Veterinary Medicine at Tufts University. “And they can track from a boat where a box filled with meat was buried in the water, 100 feet below,” says Dodman, who is also co-founder and president of the Center for Canine Behavior Studies.
Another recent study from Queens College in Belfast, United Kingdom, further confirms that dogs can smell when humans are stressed. They can also detect the smell of a person’s breath and the smell of the skin cells of a deceased person.
The emerging avalanche-predicting human-made tech and the incredible nature-made tech of dogs’ olfactory talents is the lifesaving “equipment” that Leffler believes in. Even when human-made technology develops further, it will be most efficient when used together with the millions of dogs’ smell receptors, Leffler believes. “It is a combination of technology and the avalanche dog that will always be effective in finding an avalanche victim.”
Living with someone changes your microbiome, new research shows
Some roommate frustration can be expected, whether it’s a sink piled high with crusty dishes or crumbs where a clean tabletop should be. Now, research suggests a less familiar issue: person-to-person transmission of shared bacterial strains in our gut and oral microbiomes. For the first time, the lab of Nicola Segata, a professor of genetics and computational biology at the University of Trento, located in Italy, has shown that bacteria of the microbiome are transmitted between many individuals, not just infants and their mothers, in ways that can’t be explained by their shared diet or geography.
It’s a finding with wide-ranging implications, yet frustratingly few predictable outcomes. Our microbiomes are an ever-growing and changing collection of helpful and harmful bacteria that we begin to accumulate the moment we’re born, but experts are still struggling to unravel why and how bacteria from one person’s gut or mouth become established in another person’s microbiome, as opposed to simply passing through.
“If we are looking at the overall species composition of the microbiome, then there is an effect of age of course, and many other factors,” Segata says. “But if we are looking at where our strains are coming from, 99 percent of them are only present in other people’s guts. They need to come from other guts.”
If we could better understand this process, we might be able to control and use it; perhaps hospital patients could avoid infections from other patients when their microbiome is depleted by antibiotics and their immune system is weakened, for example. But scientists are just beginning to link human microbiomes with various ailments. Growing evidence shows that our microbiomes steer our long-term health, impacting conditions like obesity, irritable bowel syndrome, type 2 diabetes, and cancer.
Previous work from Segata’s lab and others illuminated the ways bacteria are passed from mothers to infants during the first few months of life during vaginal birth, breastfeeding and other close contact. And scientists have long known that people in close proximity tend to share bacteria. But the factors related to that overlap, such as genetics and diet, were unclear, especially outside the mother-baby dyad.
“If we look at strain sharing between a mother and an infant at five years of age, for example, we cannot really tell which was due to transmission at birth and which is due to continued transmission because of contact,” Segata says. Experts hypothesized that they could be caused by bacterial similarities in the environment itself, genetics, or bacteria from shared foods that colonized the guts of people in close contact.
Strain sharing was highest in mother-child pairs, with 96 percent of them sharing strains, and only slightly lower in members of shared households, at 95 percent.
In Italy, researchers led by Mireia Valles-Colomer, including Segata, hoped to unravel this mystery. They compared data from 9,715 stool and saliva samples in 31 genomic datasets with existing metadata. Scientists zoomed in on variations in each bacterial strain down to the individual level. They examined not only mother-child pairs, but people living in the same household, adult twins, and people living in the same village in a level of detail that wasn’t possible before, due to its high cost and difficulties in retrieving data about interactions between individuals, Segata explained.
“This paper is, with high granularity, quantifying the percent sharing that you expect between different types of social interactions, controlling for things like genetics and diet,” Gibbons says. Strain sharing was highest in mother-child pairs, with 96 percent of them sharing strains, and only slightly lower in members of shared households, at 95 percent. And at least half of the mother-infant pairs shared 30 percent of their strains; the median was 12 percent among people in shared households. Yet, there was no sharing among eight percent of adult twins who lived separately, and 16 percent of people within villages who resided in different households. The results were published in Nature.
It’s not a regional phenomenon. Although the types of bacterial strains varied depending on whether people lived in western and eastern nations — datasets were drawn from 20 countries on five continents — the patterns of sharing were much the same. To establish these links, scientists focused on individual variations in shared bacterial strains, differences that create unique bacterial “fingerprints” in each person, while controlling for variables like diet, demonstrating that the bacteria had been transmitted between people and were not the result of environmental similarities.
The impact of this bacterial sharing isn’t clear, but shouldn’t be viewed with trepidation, according to Sean Gibbons, a microbiome scientist at the nonprofit Institute for Systems Biology.
“The vast majority of these bugs are actually either benign or beneficial to our health, and the fact that we're swapping and sharing them and that we can take someone else's strain and supplement or better diversify our own little garden is not necessarily a bad thing,” he says.
"There are hundreds of billions of dollars of investment capital moving into these microbiome therapeutic companies; bugs as drugs, so to speak,” says Sean Gibbons, a microbiome scientist at the Institute for Systems Biology.
Everyday habits like exercising and eating vegetables promote a healthy, balanced gut microbiome, which is linked to better metabolic and immune function, and fewer illnesses. While many people’s microbiomes contain bacteria like C. diff or E. coli, these bacteria don’t cause diseases in most cases because they’re present in low levels. But a microbiome that’s been wiped out by, say, antibiotics, may no longer keep these bacteria in check, allowing them to proliferate and make us sick.
“A big challenge in the microbiome field is being able to rationally predict whether, if you're exposed to a particular bug, it will stick in the context of your specific microbiome,” Gibbons says.
Gibbons predicts that explorations of microbe-based therapeutics will be “exploding” in the coming decades. “There are hundreds of billions of dollars of investment capital moving into these microbiome therapeutic companies; bugs as drugs, so to speak,” he says. Rather than taking a mass-marketed probiotic, a precise understanding of an individual’s microbiome could help target the introduction of just the right bacteria at just the right time to prevent or treat a particular illness.
Because the current study did not differentiate between different types of contact or relationships among household members sharing bacterial strains or determine the direction of transmission, Segata says his current project is examining children in daycare settings and tracking their microbiomes over time to understand the role genetics and everyday interactions play in the level of transmission that occurs.
This relatively newfound ability to trace bacterial variants to minute levels has unlocked the chance for scientists to untangle when and how bacteria leap from one microbiome to another. As researchers come to better understand the factors that permit a strain to establish itself within a microbiome, they could uncover new strategies to control these microbes, harnessing the makeup of each microbiome to help people to resist life-altering medical conditions.