Modern fMRI
Academic Press Inc (Verlag)
978-0-443-40582-2 (ISBN)
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Dr. Andrew Jahn is a research scientist in the Department of Radiology at the University of Michigan. He is the creator of Andy’s Brain Blog and its associated YouTube channel, online resources that host tutorials and videos about neuroimaging analysis from start to finish in all the major software packages. He continues to produce training materials and teach workshops about neuroimaging analysis, functional connectivity, machine learning, and other topics related to cognitive neuroscience.
1. Introduction: A Brief History of fMRI, from the 1990s to the Present
2. Acquisition Parameters and Your Experiment: The Intersection of Scanning Protocols, Experimental Design, and Statistical Power
3. How to Choose which Package to use?: An Introduction to the Big Three (AFNI, FSL, and SPM), Recent Packages to be Familiar with, and the Advantages of Each
4. Determining which Programming Language to Use: Unix, Matlab, Python, and the Rise of Jupyter Notebooks
5. Standardized Data Organization and Preprocessing: The History and Uses of BIDS, fMRIPREP, and introduction to Neurodesk.org
6. Region of Interest analyses revisited: The Many Ways to Select and Analyze a Region, and the Strengths of Each Approach
7. Pitfalls of fMRI Analysis: Circularity, Biased Analyses, and Insidious Artifacts - How You Can Best Protect Yourself and Your Data
8. Statistical Modeling and Correcting for Multiple Comparisons: The History of Univariate Analysis, a Deep Dive into Recent Developments, and What Might Work Best for You
9. New Developments in Functional Connectivity: Dynamic Connectivity, Clinical Applications, and the Connectome as a Neural Fingerprint
10. New Developments in Machine Learning: Hyperalignment, Hybrid Hyperalignment, and Clinical Uses of Representational Similarity Analysis
11. What is Open Science?: A Look into the Latest Trend of Pre-Registering Your Study, How to Share Data and Results, and What This Means for the Field
12. Large Databases, Open-Access Databases, and their Uses: Can Big Data and Meta-Analyses Ameliorate the Problems of Reproducibility?
13. Bringing It All Together: Summarizing the Main Points of This Book
14. Where do we go from here? The Future of Neuroimaging Analysis
15. Appendix A: Review of Papers that Question fMRI Findings: Vul, Bennet Eklund, Marek, and the NARPS Paper: What to Learn from Them, and How to Keep Them in Perspective
16. Appendix B: AI and Neuroimaging Analysis – How Tools such as ChatGPT and Other Large Language Models Can Inform Preprocessing and Analysis of fMRI Data
| Erscheint lt. Verlag | 1.7.2026 |
|---|---|
| Reihe/Serie | Neuroimaging Methods and Applications |
| Verlagsort | San Diego |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 450 g |
| Themenwelt | Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie |
| Technik ► Medizintechnik | |
| ISBN-10 | 0-443-40582-4 / 0443405824 |
| ISBN-13 | 978-0-443-40582-2 / 9780443405822 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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