Introduction of diffusion tensor imaging data: An overview for novice users

In this guide, we aim to provide a brief overview of diffusion tensor imaging (DTI) data for brain research, highlighting the utility of DTI data, exploring the methodologies employed to convert this data into a readily analyzable form, and elucidating the several analysis techniques that can be applied to extract valuable insights. While we acknowledge that this guide covers only limited aspects of DTI analysis at the surface-level, it is specifically designed as a beginner's introduction to the subject matter, providing interested individuals with the knowledge necessary to explore this interesting field further. We understand the frustrations often encountered when attempting to navigate through voluminous materials without a direct resource that addresses the practical aspects of handling DTI data. To address this common challenge, we demonstrate the process of data conversion in detail and provide examples of simple data analysis using R code. Overall, our goal is to present a resource that guides and streamlines a smoother entry into the field of DTI analysis, reducing the requirement of extensive exploration to gain relevant knowledge.