Support Grows for Neurostimulation Research

- Nexalin's non-invasive neurostimulation technology, known as Deep Intracranial Frequency Stimulation (DIFS™), uses a frequency-based waveform to target deep brain structures associated with various mental health disorders. The company has conducted or has ongoing 29 clinical trials for conditions including PTSD, Alzheimer's, and treatment-resistant depression. - The neurostimulation device market is projected to grow from $9 billion in 2023 to over $10.7 billion by 2030, with the deep brain stimulation segment expected to increase from $1.2 billion to $1.9 billion in the same period. This growth reflects increasing research and development in treatments for a variety of neurological disorders. - The U.S. Department of Veterans Affairs (VA) has been actively involved in deep brain stimulation (DBS) research, particularly for Parkinson's disease. A large-scale analysis completed by the VA and the National Institutes of Health (NIH) found that while DBS involves surgery, it can offer significant benefits for patients who no longer respond well to medication. A follow-up study showed that veterans who received DBS for Parkinson's had a modest survival advantage of about eight months compared to those treated with medication alone. - The BRAIN (Brain Research Through Advancing Innovative Neurotechnologies) Initiative, supported by the NIH, is a key federal program that funds a wide range of neuroscience research. Advocacy groups have urged Congress to increase funding for the BRAIN Initiative to $700 million to accelerate discoveries for neurological disorders. - Careers in this field can be broadly categorized into patient-facing roles and tech-focused roles. Patient-facing careers include neurologists, neurosurgeons, and clinical specialists who are involved in the surgical implantation and management of neurostimulation devices. Tech-focused roles include biomedical engineers, neuroscientists, and computational biologists who work on device development, preclinical research, and data analysis. - A career in bioinformatics or computational biology within this field involves analyzing large biological datasets, such as genomic sequences, using programming languages like Python or R. Professionals in these roles often work on interdisciplinary teams with biologists and clinicians to interpret data and refine computational tools, and they typically need a strong background in computer science, statistics, and biology. - The educational path for a patient-facing role like a neurologist or neurosurgeon typically involves completing a bachelor's degree followed by medical school (M.D. or D.O.), which can take seven to eleven years post-undergrad, and then a residency and possibly a fellowship. In contrast, a tech-focused research career often requires a bachelor's degree in a field like biomedical engineering or neuroscience, followed by a master's or Ph.D. to lead research projects.