Preface. Introduction. Brain Imaging Data. Common Statistical Approach. Multivariate Approach. Advance methods. References.
Biography
Dr. Atsushi Kawaguchi is a professor in the Faculty of Medicine, Saga University in Japan. He received a Ph.D. in Mathematical Statistics from Kyushu University. He has conducted original research and published articles on brain imaging data analysis. He has produced collaborative works with medical doctors as a biostatistician. He has contributed chapters in books on (Frontiers of Biostatistical Methods and Applications in Clinical Oncology, Statistical Techniques for Neuroscientists, etc.). He is an associate editor of Journal of Statistics, and Journal of Biometrics, both in Japanese. He received the Biometric Society of Japan Encouragement Prize in 2010.
"Kawaguchi (Saga Univ., Japan) has written an accessible book that guides readers through the workflow for brain imaging data from data collection to preprocessing to statistical analysis. The focus throughout is on structural and functional magnetic resonance imaging data but, as the author points out, the methods discussed can be used with other medical imaging technologies. The R examples are a unique feature of the book and make it a very useful tool for imaging and data scientists. The volume will be useful to graduate students, medical residents, faculty, and others engaged in medical imaging professions."
— L. S. Cahill, Memorial University of Newfoundland, Choice Sep'22
