How Variable Are Our Rat Sensory-Evoked Functional MRI Datasets?
Motivation: We address the need for standardization and collaboration in rat sensory-evoked fMRI by providing evidence-based recommendations and open-access datasets, fostering community growth. Goal(s): We aim to assess inter- and intra-datasets variability, focusing on image acquisition and experimental protocols, and to optimize analysis by comparing hemodynamic response functions and denoising methods. Approach: We collected 17 rat datasets from 10 centers, applied standardized preprocessing, and analyzed the sensory-evoked responses at individual and groups levels. Project code is openly available. Results: Our study revealed significant diversity in rat attributes, anesthesia protocols, and imaging acquisition parameters across datasets. We are currently optimizing analyses to strengthen protocol robustness. Impact: We present evidence for the substantial heterogeneity intra- and inter-datasets of rat sensory-evoked fMRI. We will provide guidelines to enhance reproducibility, facilitate cross-laboratory comparisons, collaborations in neuroimaging research, and encourage more robust findings with potential translational applications.
Authors
- Yujian Diao (ORCID: https://orcid.org/0000-0002-7672-0579)
- Sandra Strobelt
- M Chakravarty
- Henning M. Reimann (ORCID: https://orcid.org/0000-0003-1053-9256)
- Cornelius Faber (ORCID: https://orcid.org/0000-0001-7683-7710)
- Carles Justicia (ORCID: https://orcid.org/0000-0003-0969-6158)
- Erwan Selingue (ORCID: https://orcid.org/0000-0002-8364-8659)
- Diana Cash (ORCID: https://orcid.org/0000-0001-5021-1234)
- Luisa Ciobanu (ORCID: https://orcid.org/0000-0001-6932-6859)
- Tom W. J. Scheenen (ORCID: https://orcid.org/0000-0002-4468-1480)
- Gabriel A. Devenyi (ORCID: https://orcid.org/0000-0002-7766-1187)
- Baogui Zhang (ORCID: https://orcid.org/0000-0003-3410-4249)
- Margaret Broadwater (ORCID: https://orcid.org/0000-0002-3956-145X)
- Johannes Kaesser
- Sung-Ho Lee (ORCID: https://orcid.org/0000-0001-5292-0747)
- Kai‐Hsiang Chuang (ORCID: https://orcid.org/0000-0002-8356-0657)
- Lydia Wachsmuth (ORCID: https://orcid.org/0000-0003-1684-7196)
- Jürgen Baudewig (ORCID: https://orcid.org/0000-0002-9965-9926)
- Ileana Jelescu (ORCID: https://orcid.org/0000-0002-3664-0195)
- Akira Sumiyoshi (ORCID: https://orcid.org/0000-0001-9522-8064)
- Noam Shemesh (ORCID: https://orcid.org/0000-0001-6681-5876)
- Susann Boretius (ORCID: https://orcid.org/0000-0003-2792-7423)
- Judith Regina Homberg (ORCID: https://orcid.org/0000-0002-7621-1010)
- Yen‐Yu Ian Shih (ORCID: https://orcid.org/0000-0001-6529-911X)
- Gabriel Desrosiers-Grégoire (ORCID: https://orcid.org/0000-0003-2197-1183)
- Andreas Heß (ORCID: https://orcid.org/0000-0001-5227-3068)
- Thoralf Niendorf (ORCID: https://orcid.org/0000-0001-7584-6527)
- Rita Gil (ORCID: https://orcid.org/0000-0003-4855-5155)
- Henriette Lambers (ORCID: https://orcid.org/0000-0002-6495-5514)
- Isabel Wank (ORCID: https://orcid.org/0000-0002-0702-7754)
- Joanes Grandjean (ORCID: https://orcid.org/0000-0001-8413-0491)
- Eilidh MacNicol (ORCID: https://orcid.org/0000-0003-3715-7012)
- Nikoloz Sirmpilatze (ORCID: https://orcid.org/0000-0003-1778-2427)
- Guadalupe Sòria (ORCID: https://orcid.org/0000-0002-8344-0479)
- Xin Yu (ORCID: https://orcid.org/0000-0002-2534-5190)
- Eugene Kim (ORCID: https://orcid.org/0000-0003-0066-7051)
- Yongzhi Zhang (ORCID: https://orcid.org/0000-0002-4963-2936)
- Ryuta Kawashima (ORCID: https://orcid.org/0000-0002-6132-3861)
- Yi Chen (ORCID: https://orcid.org/0009-0003-5440-289X)
- Marie E Galteau
- Nick Todd
- Yanyan Liu (ORCID: https://orcid.org/0000-0002-2821-9253)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/3324
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00