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Statistical analysis issues for fMRI data
Journal of the Korean Data & Information Science Society 2018;29:1353-63
Published online November 30, 2018
© 2018 Korean Data and Information Science Society.

Jaehee Kim1

1Department of Information and Statistics, Duksung Women’s University
Correspondence to: Professor, Department of Information and Statistics, DuksungWomen’s University, Seoul 01369, Korea. E-mail: jaehee@duksung.ac.kr
Received October 10, 2018; Revised November 9, 2018; Accepted November 14, 2018.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Recently brain imaging data analysis is explosively increasing. Accordingly fMRI data research is currently very active. Research on fMRI data needs interdisciplinary cowork with such as brain science, brain engineering, psychology, physics, statistics and etc. The advanced countries support the brain research projects to know the unknown world of human. The researchers spur their research to discover brain activity phenomena. The statistical theory and methods should be developed to solve the brain related data problem. We strongly emphasize that statisticians should play a important role and contribute in the brain science field.
Keywords : Brain connectivity, brain imaging fMRI data, brain network, statistical connectomics.