Big Brain Data Initiative at USM: Challenges in Brain Mapping
Journal name: The Malaysian Journal of Medical Sciences
Original article title: Big Brain Data Initiative in Universiti Sains Malaysia: Challenges in Brain Mapping for Malaysia
The Malaysian Journal of Medical Sciences (MJMS) is a peer-reviewed, open-access journal published online at least six times a year. It covers all aspects of medical sciences and prioritizes high-quality research.
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Sharifah Aida Shekh Ibrahim, Nurfaten Hamzah, Athirah Raihanah Abdul Wahab, Jafri Malin Abdullah, Nurul Hashimah Ahamed Hassain Malim, Putra Sumari, Zamzuri Idris, Ariffin Marzuki Mokhtar, Ab Rahman Izaini Ghani, Sanihah Abdul Halim, Salmi Ab Razak
The Malaysian Journal of Medical Sciences:
(A peer-reviewed, open-access journal)
Full text available for: Big Brain Data Initiative in Universiti Sains Malaysia: Challenges in Brain Mapping for Malaysia
Year: 2020 | Doi: 10.21315/mjms2020.27.4.1
Copyright (license): CC BY 4.0
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Summary of article contents:
Introduction
Universiti Sains Malaysia has initiated the Big Brain Data Initiative, a project aimed at leveraging brain mapping techniques to enhance understanding of the brain's molecular, cellular, and functional mechanisms. This initiative not only serves as a resource for neurophysicians, neurosurgeons, psychiatrists, and various neuroscience researchers but also facilitates vital data collection from Malaysia's diverse population. As a participant in the Global Brain Consortium, Malaysia contributes to the global effort in sharing multimodal imaging data, specifically electroencephalographic information, to inform policies and research in both high- and low-income countries aspiring to develop solutions for neurological and mental health issues.
The Importance of Big Data in Neuroscience
The emergence of Big Data in healthcare has transformed the landscape of research, enabling the identification of previously unknown relationships and insightful patterns within large datasets. Defined by characteristics such as high volume, velocity, and variety, Big Data analyzes both structured and unstructured information to improve patient care. In the context of the Big Brain Data Initiative, the collected data aids in predicting disease outcomes, preventing co-morbidities, and enhancing treatment strategies, thereby improving the overall quality of life for patients. This initiative specifically benefits brain research by contributing to the development of new biomarkers for brain pathology and aiding the performance of neurotechnological devices, particularly brain-computer interfaces (BCIs).
Conclusion
The Big Brain Data Initiative highlights the critical role of advanced data collection and analysis in understanding brain mechanisms and addressing neurophysiological challenges. While the project progresses to the testing phase, it faces challenges related to scale, complexity, speed, and integration of data. Overcoming these obstacles will require the simultaneous advancement of brain-mapping techniques and computer technologies. Ultimately, successful implementation could lead to significant breakthroughs in brain research and improved healthcare outcomes, reaffirming the importance of collaborative efforts in the global neuroscience community.
FAQ section (important questions/answers):
What is the Big Brain Data Initiative project?
The Big Brain Data Initiative, initiated by Universiti Sains Malaysia, focuses on advanced brain mapping techniques to explore the molecular, cellular, and functional aspects of the brain, especially for neurological and mental health research.
Who can benefit from the Big Brain Data Initiative?
The initiative serves neurophysicians, neurosurgeons, psychologists, cognitive neuroscientists, and other researchers, enhancing data collection and analysis for better understanding and treatment of brain-related issues.
What are the main challenges in brain mapping?
Major challenges include scale, complexity, speed, and integration, as large numbers of neurons must be analyzed while ensuring accurate simulations that reflect real brain functions and interactions.
How does Big Brain Data contribute to healthcare?
Big Brain Data provides insights into brain structure and function, helps discover biomarkers, improves neurotechnological devices like brain-computer interfaces, and enhances our understanding of various neurological conditions.
Glossary definitions and references:
Scientific and Ayurvedic Glossary list for “Big Brain Data Initiative at USM: Challenges in Brain Mapping”. This list explains important keywords that occur in this article and links it to the glossary for a better understanding of that concept in the context of Ayurveda and other topics.
1) Table:
Table refers to an organized arrangement of data, often displayed in rows and columns, making it easier to understand and analyze complex information. In the context of research and scientific literature, tables are used to present raw data, results, and findings succinctly, allowing for quick comparisons and insight aggregation among various variables.
2) Science (Scientific):
Science is a systematic enterprise that builds and organizes knowledge in the form of testable explanations and predictions about the universe. This process involves observation, experimentation, and analysis, leading to advancements in understanding various phenomena, including those related to brain mapping, neuroscience, and healthcare initiatives.
3) Disease:
Disease refers to a pathological condition of a bodily part, an organ, or system resulting from various causes, including infection, genetic defects, or environmental factors, characterized by an identifiable group of signs or symptoms. Understanding disease mechanisms is critical in healthcare research, particularly in neurological and mental health conditions.
4) Learning:
Learning is a fundamental cognitive process whereby individuals acquire knowledge or skills through experience, study, or teaching. In the context of neuroscience and brain mapping, understanding learning processes can help identify how the brain adapts and changes, enabling better methods for education and treatment of cognitive impairments.
5) Relative:
Relative refers to the relationship or comparison between two or more entities. In scientific research, relativity can apply to various phenomena such as the comparative effectiveness of treatment methods or the statistical significance of research findings across different populations, providing a context for understanding effects and interactions.
6) Caci:
Sasi likely refers to an author or a researcher related to the study, possibly involved in the Big Brain Data Initiative project. The contributions and roles of individual researchers like Sasi are essential in collaborative scientific efforts, driving innovation and enhancing the understanding of complex data sets in healthcare.
7) Life:
Life encompasses the existence, vitality, and developmental processes of living organisms, including humans. In neuroscience, life is a central theme, as research often aims to enhance the quality of life by understanding brain functions, identifying neurological disorders, and developing strategies for treatment and prevention of mental illnesses.
8) Transformation (Transform, Transforming):
Transformation in the context of science suggests a significant change or metamorphosis in form, structure, or substance. In healthcare and neuroscience, transformation may refer to changes in methods or technologies, such as integrating big data analytics in brain research, which improves understanding and treatment efficacy for neurological conditions.
9) Study (Studying):
Study refers to the systematic investigation aimed at discovering and interpreting facts and relationships. In research, particularly in disciplines like neuroscience and healthcare, rigorous study design is crucial to providing reliable data, validating hypotheses, and ultimately contributing to new knowledge that can inform clinical practices.
10) Performance:
Performance refers to how well a task is executed or how effectively a system or individual functions. In neuroscience, measuring performance can involve assessing cognitive tasks or the efficacy of neurotechnological devices, which can provide insights into brain function and the effectiveness of interventions targeting mental health.
11) Knowledge:
Knowledge is the acquaintance, familiarity, or understanding gained through experience or education. In the context of neuroscience and healthcare, expanding knowledge through research and data analysis allows for improved diagnostic methods, treatment strategies, and public health initiatives, ultimately benefiting individual and community health outcomes.
12) Mishra (Misra):
Mishra likely refers to one of the authors or researchers associated with the study or initiative. The involvement of individuals such as Mishra is significant in driving forward research efforts, sharing insights, and fostering collaborative frameworks that address complex issues in health and neuroscience, bridging gaps in understanding.
13) Sharman (Sarma, Sharma, Sarman):
Sharma may refer to another contributor or researcher involved in the Big Brain Data Initiative. Researchers like Sharma play important roles in furthering scientific inquiry, contributing valuable expertise and perspectives that enhance collaborative efforts to tackle prominent challenges in brain health, data collection, and analysis.
14) Nature:
Nature refers to the inherent characteristics or qualities of something, often relating to the natural world. In neuroscience, understanding the nature of brain function and behavior is crucial for developing effective treatments and interventions for various neurological and psychological conditions, thereby enhancing our comprehension of overall health.
15) Malin:
Malin likely represents an individual researcher or expert contributing to the study's efforts, potentially noted for their leadership or pivotal role within the initiative. Engaged professionals like Malin facilitate advancement in research, promoting collaboration and integration of diverse perspectives that enrich the scientific understanding of brain health.
16) Kumar:
Kumar can denote another collaborator or researcher relevant to the study or thematic area. The contributions of various experts such as Kumar reinforce the collaborative nature of scientific research, encouraging interdisciplinary dialogue and innovation necessary for addressing complex health issues, including those related to big data and brain research.
17) Mental health:
Mental health encompasses emotional, psychological, and social well-being, significantly impacting how individuals think, feel, and act. Understanding and enhancing mental health through research initiatives, data analysis, and innovative treatments is essential for improving quality of life, particularly in addressing challenges associated with various mental disorders.
18) Substance:
Substance generally signifies a material or matter of a particular kind. In psychology and healthcare, substances can refer to drugs or chemicals impacting mental health and behavior. Studying substance use is vital in understanding addiction, its effects on the brain, and devising interventions to support those affected.
19) Quality:
Quality denotes the standard or degree of excellence of something, often assessed against established benchmarks. In healthcare, ensuring the quality of services, treatments, and patient outcomes is paramount, as improved quality directly contributes to better overall health, satisfaction, and functionality within community health systems.
20) Meeting:
Meeting, in a research context, refers to gatherings where ideas, findings, and collaborations are discussed among stakeholders, including researchers, clinicians, and policymakers. Such meetings promote knowledge exchange, strategic planning, and networking, essential components of advancing scientific inquiry and fostering collaboration in addressing health challenges.
21) Dealing:
Dealing refers to the act of addressing or managing a situation. In the context of neuroscience and mental health, dealing effectively with various conditions involves implementing research findings, utilizing data to inform treatment decisions, and engaging in practices that promote wellness among individuals suffering from neurological disorders.
22) Campu:
Campu appears to be a shorthand or abbreviation relevant to a university setting, possibly referring to 'campus.' Campuses serve as essential hubs for education, research, and collaboration, playing a critical role in advancing scientific knowledge and facilitating initiatives like the Big Brain Data Initiative for societal benefit.
23) Roman (Roma):
Roman may refer to historical or cultural aspects related to the use of data and knowledge. In a broader context, understanding the Roman influence can provide historical insights into the evolution of thought, governance, and science, emphasizing the importance of cultural context in shaping contemporary research methodologies and ethics.
24) Rules:
Rules denote established guidelines or principles governing behavior or processes. In scientific research, adhering to ethical, methodological, and compliance rules ensures the integrity of data collection, analysis, and reporting while safeguarding participant rights. Following rules is fundamental for maintaining trust in scientific findings and advancing knowledge responsibly.
25) Field:
Field denotes a specific domain or area of study or expertise. In neuroscience and healthcare, the field encompasses various disciplines involved in understanding brain functions, disorders, and potential treatment pathways. Collaborations within and across fields are paramount for advancing research that addresses complex health challenges effectively.
26) Death:
Death signifies the cessation of life and is a significant topic in health research, particularly in understanding end-of-life issues and the factors influencing mortality. Examining the causes and contributing factors related to death provides insights essential for developing intervention strategies in healthcare, aiming to improve life quality and duration.
27) Post:
Post typically indicates a position or announcement regarding a specific matter. In the context of academic research, posting results, findings, or updates is crucial for disseminating knowledge, fostering transparency in the research process, and enabling wider access to information crucial for further developing ideas and refining practice in healthcare.
Other Science Concepts:
Discover the significance of concepts within the article: ‘Big Brain Data Initiative at USM: Challenges in Brain Mapping’. Further sources in the context of Science might help you critically compare this page with similair documents: