Short Communication, Arch Med Biotechnol Vol: 4 Issue: 1
Neurotechnology: Innovations in Medical Biotechnology for Brain Disorders
Angelo Luzia*
1Department of Innovation and Environmental Sciences, Utrecht University, Heidelberglaan , 3508 TC Utrecht, Netherlands
*Corresponding Author: Angelo Luzia
Department of Innovation and
Environmental Sciences, Utrecht University, Heidelberglaan , 3508 TC Utrecht,
Netherlands;
E-mail: luziaa@utrecht.nl
Received date: 14 February, 2023, Manuscript No. AMB-23-95739;
Editor assigned date: 16 February, 2023, PreQC No. AMB-23-95739 (PQ);
Reviewed date: 03 March, 2023, QC No. AMB-23-95739;
Revised date: 10 March, 2023, Manuscript No. AMB-23-95739 (R);
Published date: 20 March, 2023 DOI: 10.4172/amb.1000040.
Citation: Luzia A (2023) Neurotechnology: Innovations in Medical Biotechnology for Brain Disorders. Arch Med Biotechnol 4:1.
Description
Neurotechnology is a field of biotechnology that involves the development of medical devices and procedures to diagnose, treat and manage brain disorders. It is an interdisciplinary field that integrates neuroscience, engineering, computer science, and medicine. Neurotechnology has the potential to revolutionize the treatment of brain disorders, including traumatic brain injury, stroke, epilepsy, Parkinson's disease, Alzheimer's disease, and depression [1].
One of the key innovations in neurotechnology is the development of neuroprosthetics. These are devices that are implanted in the brain or other parts of the nervous system to restore or enhance the function of damaged or diseased neurons. Neuroprosthetics can be used to restore motor function to patients with spinal cord injuries or to treat movement disorders such as Parkinson's disease. For example, Deep Brain Stimulation (DBS) is a neuroprosthetic technique that involves the implantation of electrodes in specific regions of the brain to modulate neural activity and treat Parkinson's disease and other movement disorders [2].
Another innovation in neurotechnology is the development of Brain-Computer Interfaces (BCIs). These are devices that allow direct communication between the brain and a computer. BCIs can be used to help patients with paralysis or locked-in syndrome to communicate and control external devices such as prosthetic limbs. They can also be used for neurofeedback therapy, which involves training patients to regulate their brain activity to treat conditions such as anxiety and depression [3,4].
Neuroimaging is another important area of neurotechnology. It involves the use of advanced imaging techniques to visualize the structure and function of the brain. Neuroimaging can help diagnose and monitor brain disorders, as well as guide surgical interventions. Magnetic Resonance Imaging (MRI) is a common neuroimaging technique that uses strong magnetic fields and radio waves to generate detailed images of the brain. Positron Emission Tomography (PET) and functional Magnetic Resonance Imaging (fMRI) are other neuroimaging techniques that can be used to visualize brain activity [5].
Advances in neurotechnology are also leading to the development of new drugs and therapies for brain disorders. For example, optogenetics is a technique that involves using light to control the activity of neurons. It has the potential to be used to treat conditions such as epilepsy and Parkinson's disease. Gene therapy is another promising approach that involves using viral vectors to deliver therapeutic genes to the brain to treat genetic disorders such as Huntington's disease [6,7].
Neurotechnology is also being used to develop new diagnostic tools for brain disorders. For example, biomarkers are molecules that can be used to diagnose and monitor the progression of a disease. Advances in neuroimaging and genomics have led to the identification of biomarkers for conditions such as Alzheimer's disease and multiple sclerosis. Biomarkers can also be used to develop personalized treatments for patients based on their individual genetic and molecular profiles [8].
In addition to medical applications, neurotechnology has potential applications in fields such as education, entertainment, and defense. For example, virtual reality and augmented reality technologies can be used to simulate real-world experiences and train individuals in highstress environments such as military combat. Brain-computer interfaces can also be used to enhance gaming and entertainment experiences [9].
Despite the potential benefits of neurotechnology, there are also ethical and social concerns that need to be addressed. For example, the use of neuroprosthetics and brain-computer interfaces raises questions about privacy and autonomy. The use of biomarkers for diagnostic purposes raises concerns about the potential for discrimination based on genetic information. Additionally, the cost of neurotechnology treatments may be prohibitive for some patients, leading to disparities in access to care [10].
Conclusion
In conclusion, neurotechnology represents a significant innovation in medical biotechnology for brain disorders. Its interdisciplinary approach integrating neuroscience, engineering, computer science, and medicine has led to the development of groundbreaking technologies such as neuroprosthetics, brain-computer interfaces, and advanced neuroimaging techniques that have improved our understanding and treatment of brain disorders. While there are ethical and social concerns that need to be addressed, the potential benefits of neurotechnology are vast and far-reaching, and it has the potential to positively impact not only medicine but also education, entertainment, and defense. With ongoing research and development, the future of neurotechnology looks promising and holds great potential for improving the quality of life for individuals with brain disorders.
References
- Byrne SC, Rowland LP, Vonsattel JP, Welzel AT, Walsh DM, et al (2011) Common themes in the pathogenesis of neurodegeneration. Neurodegener Dis 2011:1-5.
- Santiago JA, Bottero V, Potashkin JA (2017) Dissecting the molecular mechanisms of neurodegenerative diseases through network biology. Front Aging Neurosci 9:166.
- Hafemeister TL (2019) Criminal trials and mental disorders. InCriminal Trials and Mental Disorders. New York University Press.
- O’Donovan Michael C, Visscher Peter M, Gurling H, Blackwood DH, Corvin A, et al (2009) Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature 460(7256):748-752.
- Cross-Disorder Group of the Psychiatric Genomics Consortium (2013) Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. The Lancet 381(9875):1371-1379.
- Gandal MJ, Haney JR, Parikshak NN, Leppa V, Ramaswami G, et al (2018) Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap. Science 359(6376):693-697.
- Li M, Santpere G, Imamura Kawasawa Y, Evgrafov OV, Gulden FO, et al (2018) Integrative functional genomic analysis of human brain development and neuropsychiatric risks. Science 362(6420):eaat7615.
- Labonté B, Engmann O, Purushothaman I, Menard C, Wang J, et al (2017) Sex-specific transcriptional signatures in human depression. Nat med 23(9):1102-1111.
- Jaffe AE, Straub RE, Shin JH, Tao R, Gao Y, et al (2018) Developmental and genetic regulation of the human cortex transcriptome illuminate schizophrenia pathogenesis. Nat Neurosci 21(8):1117-1125.
- Pacifico R, Davis RL (2017) Transcriptome sequencing implicates dorsal striatum-specific gene network, immune response and energy metabolism pathways in bipolar disorder. Mol Psychiatry 22(3):441-449.