Bioelectronic Medicine and Neural Interfaces for Treating Neurological Disorders in Biomedical Engineering

Neurological diseases can be treated in a whole new way with bioelectronic medicine, which uses neural connections to directly communicate with the nervous system. This field blends neuroscience, engineering, and clinical practice to make gadgets that can change nerve activity with a level of accuracy that has never been seen before. Recent progress in biomedical engineering has made it possible to create very complex neural connections that can record and trigger activity in neurones at the very small scale. For many neurological conditions, like Parkinson's disease, epilepsy, and chronic pain, these gadgets show promise as new ways to treat them. Traditionally, these conditions have been hard to control with medicine alone. Electrical activation of nerves to repair or change brain function is what bioelectronic medicine is all about. One example is vagus nerve stimulation (VNS), which has become a useful way to help people with refractory epilepsy and depression. This shows that neural interfaces can have big practical effects. Deep brain stimulation (DBS), which uses electrical signals to target specific parts of the brain, has also made a huge difference in the movement ability of people with Parkinson's disease. Adding bioelectronics to real-time data analytics and machine learning methods is also making it possible for treatments that can change based on the brain state of the patient? This personalized method not only makes treatments work better but also cuts down on side effects, which is a big change from the old way of doing things where one answer fits all. Biocompatibility of implanted devices, long-term security of neural interfaces, and ethical concerns about device placement and brain editing are some of the problems that this field is facing as it changes quickly. These problems are still being studied and tested in humans, with the goal of creating better, more successful, and less invasive solutions.

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Publication Details

Journal
Seminars in Medical Writing and Education
Published
2024-12-31
DOI
https://doi.org/10.56294/mw2024521
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

Bioelectronic Medicine and Neural Interfaces for Treating Neurological Disorders in Biomedical Engineering

Shriya Mahajan, Lulup Kumar Sahoo, Kunal Meher, Dharmsheel Shrivastav et al.
Seminars in Medical Writing and Education
Neuroscience and Neural Engineering
article

Bioelectronic Medicine and Neural Interfaces for Treating Neurological Disorders in Biomedical Engineering

Shriya Mahajan, Lulup Kumar Sahoo, Kunal Meher, Dharmsheel Shrivastav, P.R. Deepthi, H. Malathi, A. D. Mishra
article en

Abstract

Neurological diseases can be treated in a whole new way with bioelectronic medicine, which uses neural connections to directly communicate with the nervous system. This field blends neuroscience, engineering, and clinical practice to make gadgets that can change nerve activity with a level of accuracy that has never been seen before. Recent progress in biomedical engineering has made it possible to create very complex neural connections that can record and trigger activity in neurones at the very small scale. For many neurological conditions, like Parkinson's disease, epilepsy, and chronic pain, these gadgets show promise as new ways to treat them. Traditionally, these conditions have been hard to control with medicine alone. Electrical activation of nerves to repair or change brain function is what bioelectronic medicine is all about. One example is vagus nerve stimulation (VNS), which has become a useful way to help people with refractory epilepsy and depression. This shows that neural interfaces can have big practical effects. Deep brain stimulation (DBS), which uses electrical signals to target specific parts of the brain, has also made a huge difference in the movement ability of people with Parkinson's disease. Adding bioelectronics to real-time data analytics and machine learning methods is also making it possible for treatments that can change based on the brain state of the patient? This personalized method not only makes treatments work better but also cuts down on side effects, which is a big change from the old way of doing things where one answer fits all. Biocompatibility of implanted devices, long-term security of neural interfaces, and ethical concerns about device placement and brain editing are some of the problems that this field is facing as it changes quickly. These problems are still being studied and tested in humans, with the goal of creating better, more successful, and less invasive solutions.

Seminars in Medical Writing and EducationVol. 3
Jain University (IN), Siksha O Anusandhan University (IN), Noida International University (IN), Advanced Numerical Research and Analysis Group (IN), Institute of Medical Sciences and Sum Hospital (IN), Chitkara University (IN)
Openalex Percentile: Top 72%
Neuroscience and Neural Engineering
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