Healthcare innovation

Healthcare innovation

BCI tech moves beyond assistive communication

July 7, 2022

Healthcare innovation is rapidly expanding the boundaries of what medicine can achieve, particularly through advancements in BCI tech (brain-computer interface technology). For individuals with paralysis who have lost the ability to communicate, these breakthroughs offer new hope. By creating a direct connection between the brain and a digital device, BCI tech enables a new form of assistive communication, allowing patients to express themselves and interact with the world in ways previously thought impossible.

Although assistive communication is the most immediate application of BCI technology, clinical trials over the next year aim to push the boundaries far further. From restoring movement to addressing treatment-resistant mental illness, BCI tech could represent one of the most impactful shifts in healthcare innovation, giving millions the opportunity to live more independent, fulfilling lives.

Neural-to-digital communication: How BCI tech drives healthcare innovation

The brain constantly exchanges information with the body—sensors feed it details about the world, and it responds with instructions to muscles and organs. When this natural communication loop is broken, the result is sensory or motor impairment. BCI tech offers a revolutionary solution by translating brain activity into digital signals, creating an entirely new channel for information exchange.

In cases of paralysis, BCI tech can gather signals from neurons in the motor cortex and use them to control wheelchairs, prosthetic limbs, or exoskeletons. Clinical trials have already demonstrated the ability of BCIs to control robotic prosthetics with remarkable precision, a breakthrough that represents the intersection of healthcare innovation and advanced engineering.

Reconnecting lost senses through healthcare innovation and BCI tech

Beyond movement, BCI tech can help restore sensory function. A prosthetic sensor, like a camera or microphone, can collect environmental data and feed it directly into the brain via targeted electrical stimulation. Auditory brainstem implants, for example, use this principle to help deaf individuals perceive sound.

For some people, sensory and motor impairment come as a tragic package deal. Those with paralysis often lack the ability both to control and feel the affected body parts. Researchers are therefore honing BCI systems that would solve both problems at once, bidirectional systems that provide both neurosensing and neurostimulation. For instance, a BCI used in conjunction with a bioelectronic sleeve restored some movement and sensation to the hand of a patient paralyzed by spinal cord injury.

Note that, even as these systems advance, they don’t perfectly simulate a lost sense or limb. “Seeing” with a bionic eye is not the same as seeing with a biological eye; just as a BCI-guided prosthetic will never feel quite the same as the arm it replaces. Yet, as technology advances, complete functional restoration may be possible. In fact, it is reasonable to anticipate a future in which BCI enables capabilities humans do not currently possess, like the ability for bionic eyes to “see” in infrared.

BCI tech as a healthcare innovation for neurological disorder treatment

Globally, as many as one billion people live with neurological disorders, with about one-third of  Americans affected by at least one of the more than 1000 neurological disorders, such as multiple sclerosis, epilepsy, stroke, and dementia. Despite these staggering statistics and decades of research, many sufferers lack effective treatment options. For example, little can be done to curb the effects of progressive dementia; and 1 in 5 people with epilepsy do not respond to medication. As such, researchers are looking to new approaches, including BCI, to manage these conditions.

A precedent exists for using implantable technology to treat neurological disorders. Since its FDA approval in 2002, certain individuals with Parkinson’s disease (PD) have benefited from deep brain stimulation (DBS)–a kind of neural pacemaker that delivers electrical pulses to brain cells involved in movement. By correcting abnormal firing patterns, DBS can control PD symptoms like tremor, slow movement, and rigidity. This bi-directional capability could make BCIs invaluable for complex conditions like dementia, epilepsy, and stroke recovery, areas where assistive communication and motor rehabilitation are both critical.

Deep Brain Stimulation (DBS): Electrical pulses are delivered to an electrode in the brain from a neurostimulator

Healthcare innovation in mental health: The role of BCI tech

The success of DBS for PD demonstrates that implantable neurotechnology can be a safe, practical, and effective means to lead healthcare innovations for treating debilitating disease–particularly for patients who don’t improve with traditional medications. This opens the door for BCI tech to fill therapeutic gaps left by drugs ill-equipped to resolve complex brain disorders. In fact, BCI may prove more effective and widely applicable than DBS because it allows for recording of brain signals, concurrent with stimulation. This bi-directional action allows clinicians to better understand the brain network involved in disease, permitting  dynamic and personalized treatment. Such an approach is well-suited to neurodegenerative disorders that require treatment to evolve with the disease. 

BCI tech may also play a significant role in the future of disease recovery. Stroke survivors, for instance, risk developing speech problems, cognitive impairment, depression, paralysis, and more. This population would therefore benefit from BCIs for assistive communication and motor impairment, as previously described. The FDA has already approved a noninvasive BCI system that restores hand movement in post-stroke patients. Though these devices show promise, implantable BCIs stand to dramatically surpass their effectiveness, as this technology interacts with the brain in a much more precise and reliable way.

Many neurological disorders disproportionately affect older individuals. Approximately two-thirds of Americans experience some level of cognitive decline at the age of 70 or older. As such, more effective treatment of conditions like stroke and dementia could bring about profound improvements in quality of life among adults in their golden years. In this sense, BCI may radically alter not just brain medicine, but what it means to age.

Assistive communication and beyond: Expanding the reach of healthcare innovation

Over 45% of Americans will experience mental illness at some point in their life, with the most common diagnoses being anxiety, depression, obsessive compulsive disorder (OCD), and post traumatic stress disorder (PTSD). To manage these conditions, most people use one or more psychiatric medications, complemented by psychotherapy. In some cases, this approach is effective; in others, however, drugs don’t help or cause disruptive side effects. Up to 40% of people with anxiety, for instance, do not improve with first-line treatments. And about 31% of patients diagnosed with major depressive disorder experience treatment resistance.

The drawbacks of psychiatric medication–both their side effects and lack of efficacy–can be attributed to the fact that they’re not terribly specific. Most drugs travel through the brain without prejudice, affecting groups of neurons that have little to do with the problem at hand. BCI, by contrast, is designed to target only the neurons driving illness.

Again, we can look to DBS as precedent for a neurotechnological approach. Research studies using this technique have shown success for patients with treatment-resistant depression and OCD—conditions that are debilitating without proper management. This treatment has been referred to as a “Pacemaker for the brain”, and has shown early promise.

She tried nearly every treatment: roughly 20 different medications, months in a hospital day program, electroconvulsive therapy, transcranial magnetic stimulation. But as with nearly a third of the more than 250 million people with depression worldwide, her symptoms persisted.

Then Sarah became the first participant in an unusual study of an experimental [DBS] therapy. Now, her depression is so manageable that she’s taking data analysis classes, has moved to her own place and helps care for her mother, who suffered a fall. (A ‘Pacemaker for the Brain’: No Treatment Helped Her Depression — Until This, New York Times)

Admittedly, the effectiveness of DBS for mental illness varies, likely because mental illness itself can arise from a wide range of biological causes: the brain of one person with depression may behave quite differently from that of another person with depression. For instance, researchers have shown that different depression subtypes correlate to different patterns of dysfunctional connectivity within the brain’s network. Encouragingly, BCI is well-suited to treating diseases with this kind of etiological diversity. In the future, this technology may be able to identify brain networks driving illness in a particular person and, accordingly, deliver a brain stimulation regimen specific to that network.

Indeed, BCI has the potential to revolutionize not just how we treat psychiatric conditions, but also how we think about them. For decades, mental illness has been modeled as a chemical imbalance, largely because we use chemical medications to treat it. Yet, this model of disease does not adequately explain when and why psychiatric and mood disorders arise. BCI may help us fill some of these critical knowledge gaps. Researchers have identified the relationship between patterns of brain activity and mood and in turn have demonstrated a mood state “decoder”.

Our goal is to create a technology that helps clinicians obtain a more accurate map of what is happening in a depressed brain at a particular moment in time and a way to understand what the brain signal is telling us about mood. This will allow us to obtain a more objective assessment of mood over time to guide the course of treatment for a given patient. (Maryam Shanechi, PhD, research lead in the mood “decoder” study)

A new medical paradigm: Scaling BCI tech as a major healthcare innovation

Up until now, the beneficiaries of BCI tech have been limited to the laboratory setting for patients with paralysis. Yet, as the technology continues to mature, and we learn from early users, a variety of new clinical applications will emerge. For instance, at Paradromics, we are developing the Connexus® BCI which gathers data from an unprecedented number of neurons, offering neural recording with an incredible degree of precision. As such, it has the potential for applications beyond assistive communication, helping scientists and doctors better understand and treat a wide range of neurological and brain disorders. Indeed, BCI represents a powerful new tool at the forefront of healthcare innovation, transforming brain medicine, and in the process, improving countless lives.

References

Belluck P. A “Pacemaker for the Brain”: No Treatment Helped Her Depression — Until This. The New York Times. https://www.nytimes.com/2021/10/04/health/depression-treatment-deep-brain-stimulation.html. Published October 4, 2021.
Bockbrader M. Upper limb sensorimotor restoration through brain–computer interface technology in tetraparesis. Current Opinion in Biomedical Engineering. 2019;11:85-101. doi:10.1016/j.cobme.2019.09.002
Breakthrough brain research could yield new treatments for depression. USC News. Published September 10, 2018. Accessed July 6, 2022. https://news.usc.edu/148570/breakthrough-brain-research-could-yield-new-treatments-for-depression/
Bystritsky A. Treatment-resistant anxiety disorders. Molecular psychiatry. https://pubmed.ncbi.nlm.nih.gov/16847460/. Accessed June 14, 2022
Drysdale AT, Grosenick L, Downar J, et al. Resting-state connectivity biomarkers define neurophysiological subtypes of depression. Nature Medicine. 2016;23(1):28-38. doi:10.1038/nm.4246
Ganzer PD, Colachis SC 4th, Schwemmer MA, et al. Restoring the Sense of Touch Using a Sensorimotor Demultiplexing Neural Interface. Cell. 2020;181(4):763-773.e12. doi:10.1016/j.cell.2020.03.054
Gardner J. A history of deep brain stimulation: Technological innovation and the role of clinical assessment tools. Social Studies of Science. 2013;43(5):707-728. doi:10.1177/0306312713483678
Gooch CL, Pracht E, Borenstein AR. The burden of neurological disease in the United States: A summary report and call to action. Annals of neurology. 2017;81(4):479-484. doi:10.1002/ana.24897
Groiss SJ, Wojtecki L, Südmeyer M, Schnitzler A. Deep brain stimulation in Parkinson's disease. Ther Adv Neurol Disord. 2009;2(6):20-28. doi:10.1177/1756285609339382
Hale JM, Schneider DC, Mehta NK, Myrskylä M. Cognitive impairment in the U.S.: Lifetime risk, age at onset, and years impaired [published correction appears in SSM Popul Health. 2020 Dec 10;12:100715]. SSM Popul Health. 2020;11:100577. Published 2020 Mar 31. doi:10.1016/j.ssmph.2020.100577
Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the national comorbidity survey replication. Archives of General Psychiatry. 2005;62(6):593-602. doi:10.1001/archpsyc.62.6.593
Kong ST, Ho CS, Ho PC, Lim SH. Prevalence of drug resistant epilepsy in adults with epilepsy attending a neurology clinic of a tertiary referral hospital in Singapore. Epilepsy Research. 2014;108(7):1253-1262. doi:10.1016/j.eplepsyres.2014.05.005
Kuchta J. Neuroprosthetic Hearing with Auditory Brainstem Implants / Wiederherstellung des Hörens durch auditorische Hirnstammimplantate. Biomedizinische Technik/Biomedical Engineering. 2004;49(4):83-87. doi:10.1515/bmt.2004.017
Lim HH. Development and Translation of an Intracranial Auditory Nerve Implant. Nih.gov. Published 2022. https://reporter.nih.gov/project-details/9588697
Nowik K, Langwińska-Wośko E, Skopiński P, Nowik KE, Szaflik JP. Bionic eye review – An update. Journal of Clinical Neuroscience. 2020;78:8-19. doi:10.1016/j.jocn.2020.05.041
Sani OG, Yang Y, Lee MB, Dawes HE, Chang EF, Shanechi MM. Mood variations decoded from multi-site intracranial human brain activity. Nat Biotechnol. 2018;36(10):954-961. doi:10.1038/nbt.4200
Scangos KW, Makhoul GS, Sugrue LP, Chang EF, Krystal AD. State-dependent responses to intracranial brain stimulation in a patient with depression. Nature Medicine. 2021;27(2):229-231. doi:10.1038/s41591-020-01175-8
Starr PA. Totally Implantable Bidirectional Neural Prostheses: A Flexible Platform for Innovation in Neuromodulation. Frontiers in Neuroscience. 2018;12. doi:10.3389/fnins.2018.00619
Voelker R. Helping Patients Improve Muscle Movement After Stroke. JAMA. 2021;325(21):2143. doi:10.1001/jama.2021.7913
World Health Organization. Neurological Disorders : Public Health Challenges. World Health Organization; 2006.
Wu H, Hariz M, Visser-Vandewalle V, et al. Deep brain stimulation for refractory obsessive-compulsive disorder (OCD): emerging or established therapy? Molecular Psychiatry. Published online November 3, 2020. doi:10.1038/s41380-020-00933-x
Zhdanava M, Pilon D, Ghelerter I, et al. The Prevalence and National Burden of Treatment-Resistant Depression and Major Depressive Disorder in the United States. The Journal of Clinical Psychiatry. 2021;82(2). doi:10.4088/jcp.20m13699