Deep Brain Stimulation for Mental Illnesses Raises Ethical Concerns
Imagine that you are one of the hundreds of millions of people who suffer from depression. Medication hasn't helped you, so you're looking for another treatment option. Something powerful enough to change your mood as soon as you need a lift.
"If a participant experiences a personality change, does this change who they are or dehumanize them by altering their nature?"
Enter deep brain stimulation: a type of therapy in which one or more electrodes are inserted into your brain and connected to a surgically implanted, battery-operated medical device in your chest. This device, which is approximately the size of a stopwatch, sends electric pulses to a targeted region of your brain. The idea is to control a variety of neurological symptoms that can't be adequately managed by drugs.
Over the last twenty years, deep brain stimulation, known as DBS, has become an efficient and safe alternative for the treatment of chronic neurological diseases such as epilepsy, Parkinson's disease and neuropathic pain. According to the International Neuromodulation Society, there have been more than 80,000 deep brain stimulation implants performed around the world.
The Food and Drug Administration approved DBS as a treatment for essential tremor and Parkinson's in 1997, dystonia in 2003 and obsessive compulsive disorder in 2009. Since doctors can use drugs and treatments "off-label" (not approved by the FDA) to treat patients with any disease, DBS is now also being investigated as a treatment for chronic pain, PTSD and major depression.
And these new applications are raising profound ethical questions about individuality, personality, and even what it means to be human.
"These patients are essentially having a computer that can modify and influence emotional processing, mood and motor outputs inserted into the brain," said Gabriel Lazaro-Munoz, an assistant professor at The Center for Medical Ethics and Health Policy at Baylor College of Medicine. "These responses define us as human beings and dictate our autonomy. If a participant experiences a personality change, does this change who they are or dehumanize them by altering their nature? These are some of the questions we have to consider."
"When we are not in control of ourselves, are we ourselves?"
The U.S. government has similar concerns about DBS. The National Institutes of Health recently awarded grants to study the neuroethical issues surrounding the use of DBS in neuropsychiatric and movement disorders and appropriate consent for brain research. The grants are part of the Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative. Walter Koroshetz, director of NIH's National Institute of Neurological Disorders and Stroke said, "Neuroscience is rapidly moving toward a new frontier of research on human brains that may have long-lasting and unforeseen effects. These new awards signal our commitment to research conducted in a responsible way as to anticipate all potential consequences, and to ensure that research subjects have a clear understanding of the potential benefits and risks of participating in studies."
Dr. Lazaro-Munoz's Center was awarded one of the grants to identify and evaluate the ethical, legal and social concerns with adaptive deep brain stimulation (aDBS) technologies. Adaptive DBS is a relatively new version of the technology that enables recording of brain cell activity that is then used to regulate the brain in real time. He and his team will closely observe researchers conducting aDBS studies and administering in-depth interviews to trial participants, their caregivers, and researchers, as well as individuals who declined to participate in such studies. The goal is to gain a better understanding of the ethical concerns at stake in order to guide responsible research.
Dr. Lazaro-Munoz said one of the concerns is dehumanization. "By using this technology are we compromising what makes us human? When we are not in control of ourselves, are we ourselves?" He notes that similar concerns were raised about pharmaceutical treatments for illnesses. "Both change behaviors and emotional processing. However, there is a difference. Culturally we are more used to using drugs, not implanting devices into brain and computer interfaces. Many people think of it as science fiction."
The changes in behavior due to DBS can be dramatic, perhaps none more so than with Parkinson's disease; patients may see their chronic tremors suddenly vanish.
Pills for OCD and depression take longer than DBS to see significant improvement, sometimes months. "A DBS device is either on or off. And patients and families see changes immediately," Dr. Lazaro-Munoz said. "Family members are often startled by these changes, as are the patients." He's observed that patients feel more in control with pills because they can alter and "play" with the dose or even skip a dose.
The changes in behavior due to DBS can be dramatic, perhaps none more so than with Parkinson's disease; patients may see their chronic tremors suddenly vanish, like in this must-see video.
But surgical procedures to treat motor symptoms are also increasingly being implicated as a cause of behavioral changes, both positive and negative, in patients with Parkinson's. The personality changes reported in patients who undergo DBS include hypermania, pathological gambling, hypersexuality, impulsivity and aggressiveness. One patient who suffered from OCD fell in love with the music of Johnny Cash when his brain was stimulated. On the positive side, patients report memory enhancement.
One patient who is pleased with DBS is Greg Barstead, who was diagnosed with Parkinson's in 2003, when he was the president of Colonial Penn Life Insurance Company. He also has dystonia, which affects his neck and shoulders. Barstead said that DBS has been helpful for a range of symptoms: "My shoulder is a lot less stiff and my neck hurts less. And my tremors are under control. It is not perfect, as it doesn't relieve all the Parkinson's symptoms, but it does enough of a good job that both my wife and I are very happy I had DBS."
"We are not exactly sure what part of the brain causes depression. Doctors have not identified where to implant the device."
He said he hasn't noticed any personality changes, but noted that the disease itself can cause such changes. In fact, studies have shown that it can cause many psychiatric problems including depression and hallucinations. And, approximately a third of Parkinson's patients develop dementia.
Arthur L. Caplan, founding head of the Division of Medical Ethics at NYU School of Medicine, notes that unlike psychosurgery, DBS can be turned on and off and the device can be removed. "There are less ethical concerns around treating patients with Parkinson's disease than other illnesses because surgeons know exactly where to implant the device and have many years of experience with it," he said, adding that he is concerned about using DBS for other illnesses, such as depression. "We are not exactly sure what part of the brain causes depression. Doctors have not identified where to implant the device. And I would certainly not advocate its use in patients with mild depression."
Dr. Lazaro-Munoz said of the personality changes possible with DBS, physicians need to consider how the patients were functioning without it. "Patients who are candidates for DBS typically used many medications as well as psychotherapy before opting for DBS," he explained. "To me, the question is what is the net result of using this technology? Does the patient have regrets? Are the changes in personality significant or not? Although most DBS patients report being happy they underwent the procedure, some say they don't feel like themselves after DBS. Others feel they are more like themselves, especially if there are dramatic improvements in movement problems or relief of OCD symptoms."
And then there is the question of money. The costs of DBS are covered by most insurance companies and Medicare only for FDA-approved targets like Parkinson's. Off-label uses are not covered, at least for now.
Caplan reminds people that DBS devices are manufactured by companies that are interested in making money and the average cost per treatment is around $50,000. "I am interested in seeing DBS move forward," he said. "But we must be careful and not allow industry to make it go too fast, or be used on too many people, before we know it is effective."
A new type of cancer therapy is shrinking deadly brain tumors with just one treatment
Few cancers are deadlier than glioblastomas—aggressive and lethal tumors that originate in the brain or spinal cord. Five years after diagnosis, less than five percent of glioblastoma patients are still alive—and more often, glioblastoma patients live just 14 months on average after receiving a diagnosis.
But an ongoing clinical trial at Mass General Cancer Center is giving new hope to glioblastoma patients and their families. The trial, called INCIPIENT, is meant to evaluate the effects of a special type of immune cell, called CAR-T cells, on patients with recurrent glioblastoma.
How CAR-T cell therapy works
CAR-T cell therapy is a type of cancer treatment called immunotherapy, where doctors modify a patient’s own immune system specifically to find and destroy cancer cells. In CAR-T cell therapy, doctors extract the patient’s T-cells, which are immune system cells that help fight off disease—particularly cancer. These T-cells are harvested from the patient and then genetically modified in a lab to produce proteins on their surface called chimeric antigen receptors (thus becoming CAR-T cells), which makes them able to bind to a specific protein on the patient’s cancer cells. Once modified, these CAR-T cells are grown in the lab for several weeks so that they can multiply into an army of millions. When enough cells have been grown, these super-charged T-cells are infused back into the patient where they can then seek out cancer cells, bind to them, and destroy them. CAR-T cell therapies have been approved by the US Food and Drug Administration (FDA) to treat certain types of lymphomas and leukemias, as well as multiple myeloma, but haven’t been approved to treat glioblastomas—yet.
CAR-T cell therapies don’t always work against solid tumors, such as glioblastomas. Because solid tumors contain different kinds of cancer cells, some cells can evade the immune system’s detection even after CAR-T cell therapy, according to a press release from Massachusetts General Hospital. For the INCIPIENT trial, researchers modified the CAR-T cells even further in hopes of making them more effective against solid tumors. These second-generation CAR-T cells (called CARv3-TEAM-E T cells) contain special antibodies that attack EFGR, a protein expressed in the majority of glioblastoma tumors. Unlike other CAR-T cell therapies, these particular CAR-T cells were designed to be directly injected into the patient’s brain.
The INCIPIENT trial results
The INCIPIENT trial involved three patients who were enrolled in the study between March and July 2023. All three patients—a 72-year-old man, a 74-year-old man, and a 57-year-old woman—were treated with chemo and radiation and enrolled in the trial with CAR-T cells after their glioblastoma tumors came back.
The results, which were published earlier this year in the New England Journal of Medicine (NEJM), were called “rapid” and “dramatic” by doctors involved in the trial. After just a single infusion of the CAR-T cells, each patient experienced a significant reduction in their tumor sizes. Just two days after receiving the infusion, the glioblastoma tumor of the 72-year-old man decreased by nearly twenty percent. Just two months later the tumor had shrunk by an astonishing 60 percent, and the change was maintained for more than six months. The most dramatic result was in the 57-year-old female patient, whose tumor shrank nearly completely after just one infusion of the CAR-T cells.
The results of the INCIPIENT trial were unexpected and astonishing—but unfortunately, they were also temporary. For all three patients, the tumors eventually began to grow back regardless of the CAR-T cell infusions. According to the press release from MGH, the medical team is now considering treating each patient with multiple infusions or prefacing each treatment with chemotherapy to prolong the response.
While there is still “more to do,” says co-author of the study neuro-oncologist Dr. Elizabeth Gerstner, the results are still promising. If nothing else, these second-generation CAR-T cell infusions may someday be able to give patients more time than traditional treatments would allow.
“These results are exciting but they are also just the beginning,” says Dr. Marcela Maus, a doctor and professor of medicine at Mass General who was involved in the clinical trial. “They tell us that we are on the right track in pursuing a therapy that has the potential to change the outlook for this intractable disease.”
Since the early 2000s, AI systems have eliminated more than 1.7 million jobs, and that number will only increase as AI improves. Some research estimates that by 2025, AI will eliminate more than 85 million jobs.
But for all the talk about job security, AI is also proving to be a powerful tool in healthcare—specifically, cancer detection. One recently published study has shown that, remarkably, artificial intelligence was able to detect 20 percent more cancers in imaging scans than radiologists alone.
Published in The Lancet Oncology, the study analyzed the scans of 80,000 Swedish women with a moderate hereditary risk of breast cancer who had undergone a mammogram between April 2021 and July 2022. Half of these scans were read by AI and then a radiologist to double-check the findings. The second group of scans was read by two researchers without the help of AI. (Currently, the standard of care across Europe is to have two radiologists analyze a scan before diagnosing a patient with breast cancer.)
The study showed that the AI group detected cancer in 6 out of every 1,000 scans, while the radiologists detected cancer in 5 per 1,000 scans. In other words, AI found 20 percent more cancers than the highly-trained radiologists.
Scientists have been using MRI images (like the ones pictured here) to train artificial intelligence to detect cancers earlier and with more accuracy. Here, MIT's AI system, MIRAI, looks for patterns in a patient's mammograms to detect breast cancer earlier than ever before. news.mit.edu
But even though the AI was better able to pinpoint cancer on an image, it doesn’t mean radiologists will soon be out of a job. Dr. Laura Heacock, a breast radiologist at NYU, said in an interview with CNN that radiologists do much more than simply screening mammograms, and that even well-trained technology can make errors. “These tools work best when paired with highly-trained radiologists who make the final call on your mammogram. Think of it as a tool like a stethoscope for a cardiologist.”
AI is still an emerging technology, but more and more doctors are using them to detect different cancers. For example, researchers at MIT have developed a program called MIRAI, which looks at patterns in patient mammograms across a series of scans and uses an algorithm to model a patient's risk of developing breast cancer over time. The program was "trained" with more than 200,000 breast imaging scans from Massachusetts General Hospital and has been tested on over 100,000 women in different hospitals across the world. According to MIT, MIRAI "has been shown to be more accurate in predicting the risk for developing breast cancer in the short term (over a 3-year period) compared to traditional tools." It has also been able to detect breast cancer up to five years before a patient receives a diagnosis.
The challenges for cancer-detecting AI tools now is not just accuracy. AI tools are also being challenged to perform consistently well across different ages, races, and breast density profiles, particularly given the increased risks that different women face. For example, Black women are 42 percent more likely than white women to die from breast cancer, despite having nearly the same rates of breast cancer as white women. Recently, an FDA-approved AI device for screening breast cancer has come under fire for wrongly detecting cancer in Black patients significantly more often than white patients.
As AI technology improves, radiologists will be able to accurately scan a more diverse set of patients at a larger volume than ever before, potentially saving more lives than ever.