Dr. Julio E. Villalon-Reina Profile

Dr. Julio E. Villalon-Reina

at Imaging Genetics Ctr

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Publications (12)

Proceedings Article | 10 December 2021 Paper

Diffusion MRI metrics and their relation to dementia severity: effects of harmonization approaches

Sophia I Thomopoulos, Talia Nir, Julio Villalon-Reina, Artemis Zavaliangos-Petropulu, Piyush Maiti, Hong Zheng, Elnaz Nourollahimoghadam, Neda Jahanshad, Paul Thompson

Proceedings Volume 12088, 120880K (2021) https://doi.org/10.1117/12.2606337

KEYWORDS: Data modeling, Dementia, Magnetic resonance imaging, Scanners, Neuroimaging, Statistical analysis, Data acquisition, Statistical modeling, Diffusion, Brain

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Proceedings Article | 3 November 2020 Paper

Exogenous sex hormone effects on brain microstructure in women: a diffusion MRI study in the UK Biobank

Leila Nabulsi, Katherine Lawrence, Vigneshwaran Santhalingam, Zvart Abaryan, Christina Boyle, Julio Villalon-Reina, Talia Nir, Iyad Ba Gari, Alyssa Zhu, Elizabeth Haddad, Alexandra Muir, Neda Jahanshad, Paul Thompson

Proceedings Volume 11583, 1158308 (2020) https://doi.org/10.1117/12.2579631

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Proceedings Article | 3 November 2020 Paper

Advanced diffusion-weighted MRI metrics detect sex differences in aging among 15,000 adults in the UK Biobank

Katherine Lawrence, Leila Nabulsi, Vigneshwaran Santhalingam, Zvart Abaryan, Julio Villalon-Reina, Talia Nir, Iyad Ba Gari, Alyssa Zhu, Elizabeth Haddad, Alexandra Muir, Neda Jahanshad, Paul Thompson

Proceedings Volume 11583, 1158307 (2020) https://doi.org/10.1117/12.2579622

KEYWORDS: Magnetic resonance imaging, Data modeling, Diffusion weighted imaging, Diffusion tensor imaging, Diffusion, Anisotropy, Statistical analysis, Brain, Biological research

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Proceedings Article | 21 December 2018 Paper

Alternative diffusion anisotropy measures for the investigation of white matter alterations in 22q11.2 deletion syndrome

Julio Villalon-Reina, Christopher R. K. Ching, Deydeep Kothapalli, Daqiang Sun, Talia Nir, Amy Lin, Jennifer Forsyth, Leila Kushan, Ariana Vajdi, Maria Jalbrzikowski, Laura Hansen, Rachel Jonas, Therese van Amelsvoort, Geor Bakker, Wendy Kates, Kevin Antshel, Wanda Fremont, Linda Campbell, Kathryn McCabe, Eileen Daly, Maria Gudbrandsen, Clodagh Murphy, Declan Murphy, Michael Craig, Beverly Emanuel, Donna McDonald-McGinn, Kosha Ruparel, David Roalf, Raquel Gur, J. Eric Schmitt, Tony Simon, Naomi Goodrich-Hunsaker, Courtney Durdle, Joanne Doherty, Adam Cunningham, Marianne van den Bree, David E. J. Linden, Michael Owen, Hayley Moss, Neda Jahanshad, Carrie Bearden, Paul Thompson

Proceedings Volume 10975, 109750U (2018) https://doi.org/10.1117/12.2513788

KEYWORDS: Anisotropy, Diffusion, Psychiatry, Brain, Diffusion magnetic resonance imaging, Genetics, Medicine

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Diffusion MRI (dMRI) is widely used to study the brain’s white matter (WM) microstructure in a range of psychiatric and neurological diseases. As the diffusion tensor model has limitations in brain regions with crossing fibers, novel diffusion MRI reconstruction models may offer more accurate measures of tissue properties, and a better understanding of the brain abnormalities in specific diseases. Here we studied a large sample of 249 participants with 22q11.2 deletion syndrome (22q11DS), a neurogenetic condition associated with high rates of developmental neuropsychiatric disorders, and 224 age-matched healthy controls (HC) (age range: 8-35 years). Participants were scanned with dMRI at eight centers worldwide. Using a meta-analytic approach, we assessed the profile of group differences in four diffusion anisotropy measures to better understand the patterns of WM microstructural abnormalities and evaluate their consistency across alternative measures. When assessed in atlas-defined regions of interest, we found statistically significant differences for all anisotropy measures, all showing a widespread but not always coinciding pattern of effects. The tensor distribution function fractional anisotropy (TDF-FA) showed largest effect sizes all in the same direction (greater anisotropy in 22q11DS than HC). Fractional anisotropy based on the tensor model (FA) showed the second largest effect sizes after TDF-FA; some regions showed higher mean values in 22q11DS, but others lower. Generalized fractional anisotropy (GFA) showed the opposite pattern to TDF-FA with most regions showing lower anisotropy in 22q11DS versus HC. Anisotropic power maps (AP) showed the lowest effect sizes also with a mixed pattern of effects across regions. These results were also consistent across skeleton projection methods, with few differences when projecting anisotropy values from voxels sampled on the FA map or projecting values from voxels sampled from each anisotropy map. This study highlights that different mathematical definitions of anisotropy may lead to different profiles of group differences, even in large, well-powered population studies. Further studies of biophysical models derived from multi-shell dMRI and histological validations may help to understand the sources of these differences. 22q11DS is a promising model to study differences among novel anisotropy/dMRI measures, as group differences are relatively large and there exist animal models suitable for histological validation.

Proceedings Article | 17 November 2017 Paper

Examination of corticothalamic fiber projections in United States service members with mild traumatic brain injury

Faisal Rashid, Emily Dennis, Julio Villalon-Reina, Yan Jin, Jeffrey Lewis, Gerald York, Paul Thompson, David Tate

Proceedings Volume 10572, 105720D (2017) https://doi.org/10.1117/12.2284569

KEYWORDS: Traumatic brain injury, Thalamus, Diffusion weighted imaging, Magnetic resonance imaging, Injuries, Brain, Image segmentation, Image analysis, Head, Skull

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Proceedings Article | 26 January 2017 Paper

Bayesian super-resolution in brain diffusion weighted magnetic resonance imaging (DW-MRI)

Juan S. Celis A., Nelson F. Velasco T., Julio Villalon-Reina, Paul Thompson, Eduardo Romero C.

Proceedings Volume 10160, 101601J (2017) https://doi.org/10.1117/12.2256918

KEYWORDS: Image processing, Super resolution, Neuroimaging, Brain, Magnetic resonance imaging, Image resolution, Stochastic processes, Process modeling, Diffusion, Lawrencium

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Proceedings Article | 26 January 2017 Paper

Improved clinical diffusion MRI reliability using a tensor distribution function compared to a single tensor

Dmitry Isaev, Talia Nir, Neda Jahanshad, Julio Villalon-Reina, Liang Zhan, Alex Leow, Paul Thompson

Proceedings Volume 10160, 101601K (2017) https://doi.org/10.1117/12.2257281

KEYWORDS: Diffusion tensor imaging, Spatial resolution, Reliability, Diffusion, Data modeling, Diffusion magnetic resonance imaging, 3D modeling, Anisotropy, Diffusion weighted imaging, Tissues

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Proceedings Article | 26 January 2017 Paper

Tract-based spectroscopy to investigate pediatric brain trauma

Emily Dennis, Jeffry Alger, Talin Babikian, Faisal Rashid, Julio Villalon-Reina, Richard Mink, Christopher Babbitt, Jeffrey Johnson, Christopher Giza, Robert Asarnow, Paul Thompson

Proceedings Volume 10160, 1016019 (2017) https://doi.org/10.1117/12.2256886

KEYWORDS: Traumatic brain injury, Spectroscopy, Brain, Diffusion magnetic resonance imaging, Magnetic resonance imaging, Inflammation, Injuries, Control systems, Cognitive modeling, Brain mapping

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Proceedings Article | 21 March 2016 Paper

Effects of EPI distortion correction pipelines on the connectome in Parkinson's Disease

Justin Galvis, Adam Mezher, Anjanibhargavi Ragothaman, Julio Villalon-Reina, P. Thomas Fletcher, Paul Thompson, Gautam Prasad

Proceedings Volume 9784, 97843D (2016) https://doi.org/10.1117/12.2217377

KEYWORDS: Image registration, Distortion, Diffusion weighted imaging, Parkinson's disease, Control systems, Magnetic resonance imaging, Magnetism, Diffusion, Brain, Image processing

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Proceedings Article | 20 March 2015 Paper

7T multi-shell hybrid diffusion imaging (HYDI) for mapping brain connectivity in mice

Madelaine Daianu, Neda Jahanshad, Julio Villalon-Reina, Gautam Prasad, Russell Jacobs, Samuel Barnes, Berislav Zlokovic, Axel Montagne, Paul Thompson

Proceedings Volume 9413, 941309 (2015) https://doi.org/10.1117/12.2081491

KEYWORDS: Diffusion, Signal to noise ratio, Diffusion weighted imaging, Brain, Neuroimaging, Brain mapping, Anisotropy, Deconvolution, Spherical lenses, Diffusion tensor imaging

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Proceedings Article | 19 November 2013 Paper

detecting multiple sclerosis lesions with a fully bioinspired visual attention model

Julio Villalon-Reina, Ricardo Gutierrez-Carvajal, Paul Thompson, Eduardo Romero-Castro

Proceedings Volume 8922, 89220A (2013) https://doi.org/10.1117/12.2042046

KEYWORDS: Brain, Visualization, Magnetic resonance imaging, Visual process modeling, Image segmentation, Neuroimaging, Visual system, Tissues, Visual analytics, Image filtering

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Proceedings Article | 28 February 2009 Paper

Finding regions of interest in pathological images: an attentional model approach

Francisco Gómez, Julio Villalón, Ricardo Gutierrez, Eduardo Romero

Proceedings Volume 7260, 72603G (2009) https://doi.org/10.1117/12.811446

KEYWORDS: Image segmentation, Image processing, Visualization, Tumor growth modeling, Diagnostics, Tissues, Cognitive modeling, Zoom lenses, Visual process modeling, Medical imaging

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Showing 5 of 12 publications

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