Main publications
You can find all my articles on my Google Scholar profile
Published in Imaging Neuroscience, 2024
This paper performs a comprehensive histological validation of the parameters of the Standard Model of diffusion white matter.
Recommended citation: Ricardo Coronado-Leija, Ali Abdollahzadeh, Hong-Hsi Lee, Santiago Coelho, Benjamin Ades-Aron, Ying Liao, Raimo A Salo, Jussi Tohka, Alejandra Sierra, Dmitry S Novikov, Els Fieremans (2024). Volume electron microscopy in injured rat brain validates white matter microstructure metrics from diffusion MRI. Imaging Neuroscience, 2:1-20. https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00212/122336
Published in Human Brain Mapping, 2024
This paper performs a protocol optimization for the standard model of diffusion in white matter and assesses its reproducibility on two different scanners.
Recommended citation: Coelho et al. (2024) Assessment of precision and accuracy of brain white matter microstructure using combined diffusion MRI and relaxometry – Human Brain Mapping. http://santiagocoelho.github.io/files/paper5.pdf
Published in American Journal of Neuroradiology, 2024
This paper studied the effects of neighboring white matter microstructure on callosal interhemispheric communication in healthy controls and patients with mild traumatic brain injury.
Recommended citation: Sohae Chung, Tamar Bacon, Joseph F Rath, Alaleh Alivar, Santiago Coelho, Prin Amorapanth, Els Fieremans, Dmitry S Novikov, Steven R Flanagan, Joshua H Bacon, Yvonne W Lui (2024). Callosal Interhemispheric Communication in Mild Traumatic Brain Injury: A Mediation Analysis on WM Microstructure Effects. American Journal of Neuroradiology. 45(6):788-794. https://www.ajnr.org/content/45/6/788.long
Published in Imaging Neuroscience, 2024
This paper studies in vivo changes of the parameters of the Standard Model of diffusion white matter across lifespan in healthy and diseased tissue.
Recommended citation: Ying Liao, Santiago Coelho, Jenny Chen, Benjamin Ades-Aron, Michelle Pang, Valentin Stepanov, Ricardo Osorio, Timothy Shepherd, Yvonne W Lui, Dmitry S Novikov, Els Fieremans (2024). Mapping tissue microstructure of brain white matter in vivo in health and disease using diffusion MRI. Imaging Neuroscience, 2:1-17. https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00102/119636/Mapping-tissue-microstructure-of-brain-white
Published in NeuroImage, 2022
This paper performs a protocol optimization for the standard model of diffusion in white matter and assesses its reproducibility on two different scanners.
Recommended citation: Coelho et al. (2022) Reproducibility of the Standard Model of diffusion in white matter on clinical MRI systems – NeuroImage. http://santiagocoelho.github.io/files/paper4.pdf
Published in Journal of Neuroscience Methods, 2021
This paper studied the use of tissue microarrays for quantitative and qualitative measures.
Recommended citation: LA Wilson, L Heraty, BA Ashford, S Coelho, AF Frangi, JM Pozo, PG Ince, JR Highley (2021). Tissue microarray (TMA) use in post mortem neuropathology. Journal of Neuroscience Methods. 347:108963. https://www.sciencedirect.com/science/article/pii/S0165027020303861
Published in MICCAI, 2019
This paper shows that combining LTE and PTE maximizes precision in the estimation of the tensors in the cumulant expansion.
Recommended citation: Coelho et al. (2019) Optimal Experimental Design for Biophysical Modelling in Multidimensional Diffusion MRI. In: Shen D. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. http://santiagocoelho.github.io/files/paper3.pdf
Published in Magnetic Resonance in Medicine, 2019
This paper proposed the use of a Bayesian population-based prior for robust estimation of NODDIDA parameters with limited acquisition protocols.
Recommended citation: Meghdoot Mozumder, Jose M Pozo, Santiago Coelho, Alejandro F Frangi (2019). Population-based Bayesian regularization for microstructural diffusion MRI with NODDIDA. Magnetic Resonance in Medicine. 82(4):1553-1565. https://onlinelibrary.wiley.com/doi/10.1002/mrm.27831
Published in NeuroImage: Clinical, 2019
This paper reports microvascular characteristics from deep white matter tissue, obtained with a novel feature extraction method.
Recommended citation: Meghdoot Mozumder, Jose M Pozo, Santiago Coelho, Marina Costantini, Julie Simpson, J Robin Highley, Paul G Ince, Alejandro F Frangi (2019). Quantitative histomorphometry of capillary microstructure in deep white matter. NeuroImage: Clinical. (23):101839. https://www.sciencedirect.com/science/article/pii/S2213158219301895
Published in Magnetic Resonance in Medicine, 2019
This paper shows that incorporating double diffusion encoding (DDE) measurements help resolve the degeneracy in the parameter estimation for the Standard Model of diffusion in white matter for a Watson fiber distribution function (ODF). This is also the case for an arbitrary ODF, as was later proved.
Recommended citation: Coelho et al. Resolving degeneracy in diffusion MRI biophysical model parameter estimation using double diffusion encoding. Magn Reson Med. 2019; 82: 395– 410. http://santiagocoelho.github.io/files/paper2.pdf
Published in PLoS One, 2019
This paper compares the detailed immunoreactive profile of three classic microglial markers, namely Iba-1, CD68 and MHCII.
Recommended citation: Rachel Waller, Lynne Baxter, Daniel J Fillingham, Santiago Coelho, Jose M Pozo, Meghdoot Mozumder, Alejandro F Frangi, Paul G Ince, Julie E Simpson, J Robin Highley (2019). Iba-1-/CD68+ microglia are a prominent feature of age-associated deep subcortical white matter lesions. PLoS One. 14(1):e0210888. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0210888
Published in NeuroImage, 2018
This paper aims to statistically describe histologically stained white matter brain sections to subsequently inform and validate diffusion MRI techniques.
Recommended citation: Coelho et al., Local volume fraction distributions of axons, astrocytes, and myelin in deep subcortical white matter, NeuroImage, Volume 179, 2018, Pages 275-287. http://santiagocoelho.github.io/files/paper1.pdf
