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|Year : 2018 | Volume
| Issue : 1 | Page : 278-279
India and its potential for neuroinformatics
The Visuomotor Neuroscience Lab, Centre for Vision Research, York University, Toronto, Ontario, Canada
|Date of Web Publication||11-Jan-2018|
Dr. Vishal Bharmauria
The Visuomotor Neuroscience Lab, Centre for Vision Research, York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3
Source of Support: None, Conflict of Interest: None
|How to cite this article:|
Bharmauria V. India and its potential for neuroinformatics. Neurol India 2018;66:278-9
India needs unprecedented steps in the development of neuroscience knowledge because of its unique, diverse and vast socio-economic demography. In this article, the role of India as a potential leader in developing neural technologies through rich collaborations between Indian neuroscience institutes and software-developing organizations is discussed. Through such a joint effort, India's diverse demography will provide an ideal opportunity for India to emerge as a leader in developing neural technologies.
Regional and local research collaborations are inevitable for improving the state of neurological disorders in India and other emerging economies.
Neuroinformatics is a rapidly emerging field that relates to the development and application of analytical tools in neurosciences. With the development in neurotechnologies, we are at the cross-roads to navigate the brain to further understand its fundamental mechanisms, and even diagnose diseases and intervene by modifying its functions.
In the last few years, there has been an enormous increase in the development of several neuroinformatic approaches to investigate the brain. India is a vast country; however, the scientometric analyses have suggested that India lags way behind in neuroscience research,,, and there is an urgent need to substantially increase neuroscience-related research activities in India. India is a major superpower in software development; however, there is negligible collaboration between Indian neuroscience institutes and organizations—public or private—that develop software technologies to intervene with the functioning of the brain. Indeed, disorders of the nervous system are unique to a demographic region  and result from the socio-economic factors that are specific to that region. There is an immediate need for a joint effort between neuroscience institutes and software developing media (e.g., private companies, technology and engineering institutes) in India that may cater to the progress of neuroinformatic technologies, and thereby address these challenges that are unique to India, and even other countries. Moreover, nowadays, investments in science and technology form the core of a nation's manifesto to keep pace with the emerging problems.
Such investments and partnerships in neuroscience and technology may foster an era of unprecedented neuroscience research, and to an extent, also compensate for the lack of neuroscience research facilities in India. India needs a well-directed policy to amalgamate different neuroscience disciplines and synergistically counter the mental health issues. This may even help to establish the role of India as an emerging leader in the development of neuroinformatics.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| » References|| |
Ravindranath V, Dang HM, Goya RG, Mansour H, Nimgaonkar VL, Russell VA, et al
. Regional research priorities in brain and nervous system disorders. Nature. 2015; S198-S206.
Bala A, Gupta BM. Mapping of Indian neuroscience research: A scientometric analysis of research output during 1999-2008. Neurology India. 2010;1:35-51.
Ganapathy K. Distribution of neurologists and neurosurgeons in India and its relevance to the adoption of telemedicine. Neurol India 2015;63:142-54.
] [Full text]
Sharma S, Padma M V. Smartphone-based telemedical healthcare: The HP telestroke model. Neurol India 2017;65:233-4.
] [Full text]