Sources

Datasets

Scientific Papers

  • Esteban et al. (2019)
  • Alizadeh et al. (2026)
  • Chatelain et al. (2026)
  • Denis, Castro, and Petit (2018)
  • Koike et al. (2021)
  • Hagberg, Schult, and Swart (2008)
  • Yamashita et al. (2026)
  • Yamashita et al. (2019)
  • Xu et al. (2018)
  • Xifra-Porxas et al. (2025)
  • Gonzalez-Pepe et al. (2026)
  • Mirhakimi et al. (2025)
  • Gregory Kiar et al. (2021)
  • Parker and Langley (1997)
  • Schaefer et al. (2018)
  • Tanaka et al. (2021)
  • Glasser et al. (2016)
  • Nettekoven et al. (2024)
  • Tian et al. (2020)
  • Thomas Yeo et al. (2011)
  • Marek et al. (2018)

Software

Youtube videos

  • Wellcome Centre for Human Neuroimaging (2021)
  • Zachary Cortex (2026)
  • La Science En Schémas (2022)
  • Enthought (2021)

Other

AI Usage

The following LLMs were used for concept explanations, trouble-shooting, and to reformulate sentences and correct typographical and grammatical errors during the writing of this report. They didn’t write any code or text from scratch unless specified directly inside the according file.

  • Opencode (GLM 5.2, Qwen 3.7 Plus, and others)
  • Qwen3.6-Plus
  • Qwen3.7-Plus
  • Kimi K2.6

References

Alizadeh, Mina, Yohan Chatelain, Gregory Kiar, and Tristan Glatard. 2026. “Numerical Variability of Functional MRI Graph Measures.” bioRxiv. https://doi.org/10.64898/2025.12.22.695524.
Chatelain, Yohan, Andrzej Soko-lowski, Madeleine Sharp, Jean-Baptiste Poline, and Tristan Glatard. 2026. “The Practical Impact of Numerical Variability on Structural MRI Measures of Parkinson’s Disease.” bioRxiv. https://doi.org/10.64898/2026.01.09.698203.
contributors, Nilearn. n.d. “nilearn.” https://doi.org/https://doi.org/10.5281/zenodo.8397156.
Denis, Christophe, Pablo De Oliveira Castro, and Eric Petit. 2018. “Verificarlo: Checking Floating Point Accuracy Through Monte Carlo Arithmetic.” https://arxiv.org/abs/1509.01347.
Enthought. 2021. “Fuzzy Environments for the Perturbation Evaluation and Appl of Num Uncertainty via Mo | SciPy 2021.” Youtube. July 24, 2021. https://www.youtube.com/watch?v=3zgS8nYaKJ0.
Esteban, Oscar, Christopher Markiewicz, Ross Blair, Craig Moodie, Ayse Isik, Asier Erramuzpe, James Kent, et al. 2019. “fMRIPrep: A Robust Preprocessing Pipeline for Functional MRI.” Nature Methods 16 (January). https://doi.org/10.1038/s41592-018-0235-4.
Glasser, Matthew F., Timothy S. Coalson, Emma C. Robinson, Carl D. Hacker, John Harwell, Essa Yacoub, Kamil Ugurbil, et al. 2016. “A Multi-Modal Parcellation of Human Cerebral Cortex.” Nature 536 (7615): 171–78. https://doi.org/10.1038/nature18933.
Glatard, Tristan. 2021. “Fuzzy fMRIPrep.” https://github.com/glatard/fuzzy-fmriprep.
Gonzalez-Pepe, Inés, Hiba Akhaddar, Tristan Glatard, and Yohan Chatelain. 2026. “Fuzzy PyTorch: Rapid Numerical Variability Evaluation for Deep Learning Models.” https://arxiv.org/abs/2605.25991.
Hagberg, Aric A., Daniel A. Schult, and Pieter J. Swart. 2008. “Exploring Network Structure, Dynamics, and Function Using NetworkX.” In Proceedings of the 7th Python in Science Conference, edited by Gaël Varoquaux, Travis Vaught, and Jarrod Millman, 11–15. Pasadena, CA USA.
Kiar, Greg, Yohan Chatelain, Tristan Glatard, Ali Salari, Pablo de Oliveira Castro, michaelnicht, Antoine Hebert, Eric Petit, and Mayank Vadariya. 2026. “Verificarlo/Fuzzy: Fuzzy V3.5.1.” Zenodo. https://doi.org/10.5281/zenodo.20906259.
Kiar, Gregory, Yohan Chatelain, Pablo Castro, Eric Petit, Ariel Rokem, Gael Varoquaux, Bratislav Misic, Alan Evans, and Tristan Glatard. 2021. “Numerical Uncertainty in Analytical Pipelines Lead to Impactful Variability in Brain Networks.” PLOS ONE 16 (November): e0250755. https://doi.org/10.1371/journal.pone.0250755.
Koike, Shinsuke, Saori C. Tanaka, Tomohisa Okada, Toshihiko Aso, Ayumu Yamashita, Okito Yamashita, Michiko Asano, et al. 2021. “Brain/MINDS Beyond Human Brain MRI Project: A Protocol for Multi-Level Harmonization Across Brain Disorders Throughout the Lifespan.” NeuroImage: Clinical 30: 102600. https://doi.org/https://doi.org/10.1016/j.nicl.2021.102600.
La Science En Schémas. 2022. Youtube. July 1, 2022. https://www.youtube.com/watch?v=q_H5GRC48KU.
Marek, Kenneth, Sohini Chowdhury, Andrew Siderowf, Shirley Lasch, Christopher S. Coffey, Chelsea Caspell-Garcia, Tanya Simuni, et al. 2018. “The Parkinson’s Progression Markers Initiative (PPMI) – Establishing a PD Biomarker Cohort.” Annals of Clinical and Translational Neurology 5 (12): 1460–77. https://doi.org/https://doi.org/10.1002/acn3.644.
Mirhakimi, Niusha, Yohan Chatelain, Tristan Glatard, and Jean-Baptiste Poline. 2025. “Numerical Uncertainty in Linear Registration: An Experimental Study.” https://arxiv.org/abs/2508.00781.
Nettekoven, Caroline, Da Zhi, Ladan Shahshahani, Ana Pinho, Noam Saadon-Grosman, Randy Buckner, and Jörn Diedrichsen. 2024. “A Hierarchical Atlas of the Human Cerebellum for Functional Precision Mapping.” Nature Communications 15 (September). https://doi.org/10.1038/s41467-024-52371-w.
Olivier Amacker. 2025. “Semester Project.” https://github.com/MadeInShineA/303.1-semester-project.
Parker, Douglas Stott, and David Langley. 1997. “Monte Carlo Arithmetic: Exploiting Randomness in Floating-Point Arithmetic.” In. https://api.semanticscholar.org/CorpusID:2321215.
Schaefer, Alexander, Ru Kong, Evan M Gordon, Timothy O Laumann, Xi-Nian Zuo, Avram J Holmes, Simon B Eickhoff, and B T Thomas Yeo. 2018. “Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI.” Cerebral Cortex 28 (9): 3095–3114. https://doi.org/10.1093/cercor/bhx179.
Tanaka, Saori C., Ayumu Yamashita, Noriaki Yahata, Takashi Itahashi, Giuseppe Lisi, Takashi Yamada, Naho Ichikawa, et al. 2021. “A Multi-Site, Multi-Disorder Resting-State Magnetic Resonance Image Database.” Scientific Data 8 (1): 227. https://doi.org/10.1038/s41597-021-01004-8.
Thomas Yeo, B. T., Fenna M. Krienen, Jorge Sepulcre, Mert R. Sabuncu, Danial Lashkari, Marisa Hollinshead, Joshua L. Roffman, et al. 2011. “The Organization of the Human Cerebral Cortex Estimated by Intrinsic Functional Connectivity.” Journal of Neurophysiology 106 (3): 1125–65. https://doi.org/10.1152/jn.00338.2011.
Tian, Ye, Daniel S. Margulies, Michael Breakspear, and Andrew Zalesky. 2020. “Topographic Organization of the Human Subcortex Unveiled with Functional Connectivity Gradients.” bioRxiv. https://doi.org/10.1101/2020.01.13.903542.
Verificarlo. n.d.a. “Fuzzy.” https://github.com/verificarlo/fuzzy.
———. n.d.b. “Verificarlo.” https://github.com/verificarlo/verificarlo.
Wellcome Centre for Human Neuroimaging. 2021. “Understanding MRI: What Is Functional MRI (fMRI)?” Youtube. July 9, 2021. https://www.youtube.com/watch?v=4UOeBM5BwdY.
Xifra-Porxas, Alba, Michalis Kassinopoulos, Prokopis Prokopiou, Marie-Hélène Boudrias, and Georgios. D. Mitsis. 2025. “Global Signal Regression Reduces Connectivity Patterns Related to Physiological Signals and Does Not Alter EEG-Derived Connectivity.” bioRxiv. https://doi.org/10.1101/2024.04.18.590163.
Xu, Huaze, Jianpo Su, Jian Qin, Ming Li, Ling-Li Zeng, Dewen Hu, and Hui Shen. 2018. “Impact of Global Signal Regression on Characterizing Dynamic Functional Connectivity and Brain States.” NeuroImage 173: 127–45. https://doi.org/https://doi.org/10.1016/j.neuroimage.2018.02.036.
Yamashita, Ayumu, Takashi Itahashi, Yuki Sakai, Masahiro Takamura, Hiroki Togo, Yujiro Yoshihara, Tomohisa Okada, et al. 2026. “Extraction of Robust Functional Connectivity Patterns Across Psychiatric Disorders Using Principal Component Analysis-Based Feature Selection.” Imaging Neuroscience 4 (February): IMAG.a.1121. https://doi.org/10.1162/IMAG.a.1121.
Yamashita, Ayumu, Noriaki Yahata, Takashi Itahashi, Giuseppe Lisi, Takashi Yamada, Naho Ichikawa, Masahiro Takamura, et al. 2019. “Harmonization of Resting-State Functional MRI Data Across Multiple Imaging Sites via the Separation of Site Differences into Sampling Bias and Measurement Bias.” PLOS Biology 17 (4): 1–34. https://doi.org/10.1371/journal.pbio.3000042.
Zachary Cortex. 2026. “fMRI Explained (Functional Magnetic Resonance Imaging).” Youtube. March 3, 2026. https://www.youtube.com/watch?v=IGwChiQJJHk.