1. Li Yao, Ph.D. Dean and Prof. College of Information Science and Technology Beijing Normal University (BNU), China Neuroimaging Big Data and the Privacy Issue

2. Outline: Background Big Data in Neuroimaging Privacy and Security Future Strategy

3. 1, Background Beijing Washington Beijing Normal University College of Information Science and Technology State Key Lab of Cognitive Neuroscience and Learning

4. 1, Background College of Information Science and Technology State Key Lab of Cognitive Neuroscience and Learning EEG MRI fNIRS Our lab develops and employs multiple analytic approaches to understand the cognitive and neural mechanisms of brain development and genetic constraints. Neuroimaging data are from multiple sources such as behavioral, molecular genetics, EEG, MRI, NIRS.

5. 1, Background (a) Design and acquisition of different kinds of human neuroimaging data

6. 1, Background (b) developments and applications of various analytic approaches

7. 1, Background (c) Initiation and continued development on procedures to enhance the learning capacities using neuro-feedback techniques.

8. 2, Big Data from NeuroImaging MRI-DTI fMRI sMRI

9. EEG 2, Big Data from NeuroImaging Reiman, 2010 FDG-PET fNIRs

10. 2, Big Data from NeuroImaging Characteristics with 4V How big the neuroimaging data? ~100,000 locations, measured simultaneously hundreds of times, resulting in billions of pairwise relation, collected in multiple experimental conditions, and from multiple participants per study.

11. 2, Big Data from NeuroImaging Imaging header file:

12. 2, Big Data from NeuroImaging Problems: Privacy How to best protect individual privacy while making the needed information available to research? Security How to secure the data on the cloud or severs that is also an important issue to private information?

13. 3, Privacy and Security Current Situation in China: Privacy and Ethics: Approved by IRB Research Consent form

14. 3, Privacy and Security Security: Information encryption Information disclosure

15. strategies to privacy: Training and education Some techniques: de-faced, demographic information… strategies to Security: The existing techniques are mature and available. 4, Future strategies In my opinion, the most important, above all of these, the rule, law and policies need to be made from the central and local governments.

16. 4, Future strategies

17. What I am seeking: (a) techniques on securing the patients or study participants privacy in handling neuroimaging and behavior “big data”, (b) ways to assist government regulatory agencies’ sharing policy, (c) understanding the culture and ethics difference in big data environments between western countries and China.

18. What I have to offer: Expertise in: (a) design and acquisition different kinds of human neuro-imaging data, (b) application of various analytic approaches to process and understand brain data and their relations to learning and human behaviors from patients with Alzheimer’s to people who are cognitively normal, (c) initiation and continued development on procedures to enhance the learning capacities using real-time neuro-feedback provided by fMRI and EEG techniques.

19. Thanks for your attention Li Yao, Email: yaoli@bnu.edu.cn