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Editorial
. 2020 Jul;27(4):1-8.
doi: 10.21315/mjms2020.27.4.1. Epub 2020 Aug 19.

Big Brain Data Initiative in Universiti Sains Malaysia: Challenges in Brain Mapping for Malaysia

Affiliations
Editorial

Big Brain Data Initiative in Universiti Sains Malaysia: Challenges in Brain Mapping for Malaysia

Sharifah Aida Shekh Ibrahim et al. Malays J Med Sci. 2020 Jul.

Abstract

Universiti Sains Malaysia has started the Big Brain Data Initiative project since the last two years as brain mapping techniques have proven to be important in understanding the molecular, cellular and functional mechanisms of the brain. This Big Brain Data Initiative can be a platform for neurophysicians and neurosurgeons, psychiatrists, psychologists, cognitive neuroscientists, neurotechnologists and other researchers to improve brain mapping techniques. Data collection from a cohort of multiracial population in Malaysia is important for present and future research and finding cure for neurological and mental illness. Malaysia is one of the participant of the Global Brain Consortium (GBC) supported by the World Health Organization. This project is a part of its contribution via the third GBC goal which is influencing the policy process within and between high-income countries and low- and middle-income countries, such as pathways for fair data-sharing of multi-modal imaging data, starting with electroencephalographic data.

Keywords: Big Brain Data; Big Data; brain mapping; initiative; neuroimaging; neurosciences.

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Conflict of interest statement

Conflict of Interest None.

Figures

Figure 1
Figure 1
Professor Dato’ Dr Jafri Malin Abdullah joined the GBC Workshop 2020—online web conferencing. The topic ‘An Integrated Approach to Brain Health’ was presented by Dr Tarun Dua, Brain Health (Unit Head), Department Mental Health and Substance Use, WHO
Figure 2
Figure 2
Dr Tarun Dua presented slides on the three goals of an Integrated Approach to Brain Health
Figure 3
Figure 3
Promoting optimal brain development, cognitive health and well-being for all across the life-course
Figure 4
Figure 4
Workgroup 6 of the GBC 2020 presented validation from patients’ advocates and other stakeholders (regulatory agencies, public health, pharma companies) and test from EEG paradigms, clinical applications and validation topic
Figure 5
Figure 5
Optimising brain health across the life course: unifying concepts in terms of determinat of brain health across the course (social/biological), risk factors and protective factors
Figure 6
Figure 6
The data pre-processing (curation) pipeline © USM (8) starts with collection of records (medical records and scanning records) and followed by collection and aggregation, disease classifications, attribute selection, data anonymity, data transformation into international neuroinformatics coordinating facility standard and neuro data repository

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