Data Science in Neuroimaging: Methods and Tools for Modern Research offers a comprehensive introduction to the intersection of data science and neuroimaging, covering essential techniques such as programming, data management, visualization, and machine learning.
As the field of neuroimaging increasingly embraces data-intensive discovery, researchers must adapt to the challenges of accessing, managing, and analyzing datasets at unprecedented scales. The rising concerns regarding reproducibility and the push for greater rigor in scientific reporting necessitate higher standards in computational practices. This book serves as a vital resource for neuroimaging researchers, presenting innovative data science methods that enable automated, reproducible, and scalable analysis and understanding of complex datasets.
Through guided, hands-on explorations of openly available neuroimaging datasets, readers will delve into key elements of data science, including:
- Programming: A strong emphasis on practical coding skills.
- Data Management: Techniques for organizing and maintaining large datasets.
- Data Visualization: Methods for effectively communicating insights.
- Machine Learning: Applications that enhance data analysis capabilities.
This book is written entirely in the Jupyter notebook format, allowing readers to execute, modify, and re-execute code examples as they learn. By the end of this engaging journey, readers will acquire broadly relevant data science skills that are easily translatable to their own research questions.
Authors:
Ariel Rokem (Author)
Publication Date:
December 12, 2023
