Publications of Michael Paquette

Friederici, A. D., Wittig, R. M., Anwander, A., Eichner, C., Gräßle, T., Jäger, C., … EBC Consortium. (2024). Brain structure and function: A multidisciplinary pipeline to study hominoid brain evolution. Frontiers in Integrative Neuroscience, 17. doi:10.3389/fnint.2023.1299087

Gräßle, T., Crockford, C., Eichner, C., Girard-Buttoz, C., Jäger, C., Kirilina, E., … Wittig, R. M. (2023). Sourcing high tissue quality brains from deceased wild primates with known socio-ecology. Methods in Ecology and Evolution. doi:10.1111/2041-210X.14039

Eichner, C., Paquette, M., Mildner, T., Schlumm, T., Pléh, K., Samuni, L., … Anwander, A. (2020). Increased sensitivity and signal-to-noise ratio in diffusion-weighted MRI using multi-echo acquisitions. NeuroImage, 221. doi:10.1016/j.neuroimage.2020.117172

Nath, V., Schilling, K. G., Parvathaneni, P., Huo, Y., Blaber, J. A., Hainline, A. E., … Landman, B. A. (2020). Tractography reproducibility challenge with empirical data (TraCED): The 2017 ISMRM diffusion study group challenge. Journal of Magnetic Resonance Imaging, 51, 234–249.

Maier-Hein, K. H., Neher, P. F., Houde, J.-C., Côté, M.-A., Garyfallidis, E., Zhong, J., … Descoteaux, M. (2017). The challenge of mapping the human connectome based on diffusion tractography. Nature Communications, 8. doi:10.1038/s41467-017-01285-x

Paquette, M., Gilbert, G., & Descoteaux, M. (2016). Optimal DSI reconstruction parameter recommendations: Better ODFs and better connectivity. NeuroImage, 142, 1–13.

Deslauriers-Gauthier, S., Marziliano, P., Paquette, M., & Descoteaux, M. (2016). The application of a new sampling theorem for non-bandlimited signals on the sphere: Improving the recovery of crossing fibers for low b-value acquisitions. Medical Image Analysis, 30, 46–59.

Ning, L., Laun, F., Gur, Y., DiBella, E. V. R., Deslauriers-Gauthier, S., Megherbi, T., … Rathi, Y. (2015). Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use? Medical Image Analysis, 26, 316–331.

Paquette, M., Merlet, S., Gilbert, G., Deriche, R., & Descoteaux, M. (2015). Comparison of sampling strategies and sparsifying transforms to improve compressed sensing diffusion spectrum imaging. Magnetic Resonance in Medicine, 73, 401–416.

Eichner, C., Paquette, M., Gerbeth, H., Jäger, C., Bock, C., Gallardo, G., … Anwander, A. (2022). Does one size fit all? Reconstructing crossing fibers in diffusion MRI using spherical deconvolution with local response functions. In Proceedings of the 31th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM) (Vol. 31). Retrieved from http://hdl.handle.net/21.11116/0000-000B-4096-3

Paquette, M., Eichner, C., & Anwander, A. (2022). Connectivity matrix from a fODF weighted graph: An alternative to probabilistic tractography. In Proceedings of the 31st Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM) (Vol. 31). Retrieved from http://hdl.handle.net/21.11116/0000-000B-40AD-A

Eichner, C., Paquette, M., Gallardo, G., Bock, C., Gräßle, T., Jaffe, J. E., … Anwander, A. (2021). Developmental brain connectivity in chimpanzees using high-resolution diffusion MRI. In Proceedings of the 27th Annual Meeting of the Organization for Human Brain Mapping (OHBM) (Vol. 27). Retrieved from http://hdl.handle.net/21.11116/0000-0008-D462-A

Eichner, C., Paquette, M., Gallardo, G., Bock, C., Jaffe, J. E., Jäger, C., … Anwander, A. (2021). High-resolution post-mortem diffusion MRI acquisitions for connectivity analyses in chimpanzees. In Proceedings of the 29th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM) (Vol. 29). Retrieved from http://hdl.handle.net/21.11116/0000-0008-EA5E-8

Paquette, M., Eichner, C., Gallardo, G., & Anwander, A. (2021). Adapted microscopy estimation of axon diameters for diffusion MRI comparison. In Proceedings of the 29th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM) (Vol. 29). Retrieved from http://hdl.handle.net/21.11116/0000-0008-EA5C-A

Eichner, C., Paquette, M., Friederici, A. D., & Anwander, A. (2020). Mitigating impacts of tissue-heterogeneity and noise bias on MP-PCA denoising for high-quality diffusion MRI. In Proceedings of the 28th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM) (Vol. 28). Retrieved from http://hdl.handle.net/21.11116/0000-0006-D4A4-1

Eichner, C., Paquette, M., Mildner, T., Schlumm, T., Crockford, C., Wittig, R. M., … Anwander, A. (2020). Sensitivity gain from multi-echo acquisitions in ex-vivo diffusion imaging: Numerical simulations and experimental verification. In Proceedings of the 28th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM) (Vol. 28). Retrieved from http://hdl.handle.net/21.11116/0000-0006-D4B1-2

Paquette, M., Tax, C. M. W., Eichner, C., & Anwander, A. (2020). Impact of gradient non-linearities on B-tensor diffusion encoding. In Proceedings of the 28th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM) (Vol. 28). Retrieved from http://hdl.handle.net/21.11116/0000-0006-D4AF-6

Szczepankiewicz, F., Eichner, C., Anwander, A., Westin, C.-F., & Paquette, M. (2020). The impact of gradient non-linearity on Maxwell compensation when using asymmetric gradient waveforms for tensor-valued diffusion encoding. In Proceedings of the 28th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM) (Vol. 28). Retrieved from http://hdl.handle.net/21.11116/0000-0006-D4A2-3

Eichner, C., Kirilina, E., Paquette, M., Mildner, T., Schlumm, T., Pine, K., … Anwander, A. (2019). Evolution of white matter connectivity and cortical myelination in hominoids: Wild chimpanzee pilot. In Proceedings of the 25th Annual Meeting of the Organization for Human Brain Mapping (OHBM) (Vol. 25). Retrieved from http://hdl.handle.net/21.11116/0000-0003-BC95-1

Eichner, C., Fan, Q., Huang, S., Jones, D., Kirilina, E., Paquette, M., … Anwander, A. (2019). A joint recommendation for optimized preprocessing of connectom diffusion MRI data. In Proceedings of the 27th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM) (Vol. 27). Retrieved from http://hdl.handle.net/21.11116/0000-0003-ABF6-7