Shekh Ibrahim Sharifah Aida, Hamzah Nurfaten, Abdul Wahab Athirah Raihanah, Abdullah Jafri Malin, Sumari Putra, Idris Zamzuri, Mokhtar Ariffin Marzuki, Ghani Ab Rahman Izaini, Abdul Halim Sanihah, Ab Razak Salmi
Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.
Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.
Malays J Med Sci. 2020 Jul;27(4):1-8. doi: 10.21315/mjms2020.27.4.1. Epub 2020 Aug 19.
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.
马来西亚理科大学在过去两年中启动了“大脑大数据计划”项目,因为脑图谱技术已被证明在理解大脑的分子、细胞和功能机制方面非常重要。这个“大脑大数据计划”可以成为神经科医生、神经外科医生、精神科医生、心理学家、认知神经科学家、神经技术专家和其他研究人员改进脑图谱技术的平台。从马来西亚的多民族人群中收集数据对于当前和未来的研究以及寻找神经和精神疾病的治疗方法非常重要。马来西亚是由世界卫生组织支持的全球大脑联盟(GBC)的参与者之一。该项目是其通过全球大脑联盟的第三个目标所做贡献的一部分,该目标是影响高收入国家与低收入和中等收入国家内部及之间的政策进程,例如多模态成像数据公平数据共享的途径,首先是脑电图数据。