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Marc Jaskir

@marcjaskir.bsky.social
79 followers 62 following 21 posts

Neuroscience PhD candidate, University of Pennsylvania | BS Mathematics, Haverford College | Multimodal translational neuroimaging

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Reposted by Marc Jaskir
Joëlle Bagautdinova @joelleba.bsky.social · 01/09/2026
Thrilled to share that this work is now published in Nature Human Behavior!!! 🥳🎉 doi.org/10.1038/s415...
doi.org
Anatomical white matter tracts span the cortical hierarchy to support cognitive diversity - Nature Human Behaviour
Bagautdinova et al. study how white matter tracts are organized along the brain’s hierarchy and how they connect diverse biological environments to support complex human cognition and neurodevelopment.
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Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
I am so grateful for all of my amazing collaborators who helped make this research possible, particularly the outstanding mentorship and support from my advisor Kate Davis & close collaborator Ted Satterthwaite (@ted-satterthwaite.bsky.social)
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Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
Takeaway #3: Microstructural factors are distinctly organized, which influences their sensitivity to microstructural changes in different regions. In TLE, factor alterations differed within clinically relevant circuits --> Disease mapping benefits from using complementary metrics
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Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
Takeaway #2: dMRI microstructural investigations may benefit from using at least 1 dMRI statistic per microstructural factor, as overall, non-Gaussian, and anisotropic diffusivity carry complementary information
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Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
Takeaway #1: We provide a reference for dMRI statistic similarity, releasing mean dMRI statistic & factor maps in a standard template (MNI) space (osf.io/xsr7y) for further study. dMRI statistic loadings are shared so investigators can map their data on these factors
osf.io
OSF
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Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
Hippocampal overall/non-Gaussian diffusivity alterations were more pronounced in TLE than measures of anisotropy. Did this extend to patient-specific images? Yes: RTOP/MD (overall) & ICVF (non-Gaussian) exhibited clearer hippocampal asymmetries than FA (anisotropic)
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Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
TLE abnormalities were most pronounced in temporolimbic regions, prompting closer examination of the mesial limbic circuit. Factor alterations were heterogeneous here, suggesting that multiple microstructural factors may be needed to comprehensively map focal circuit disruptions
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Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
We characterized how each factor captured microstructural alterations in unilateral temporal lobe epilepsy (TLE). We mapped microstructural abnormalities & their asymmetries (ipsilateral vs. contralateral regions to the seizure focus) within each factor & across all statistics
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Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
We examined gradients of factor similarity across the brain. Regions closer along gradients --> more similar factor expression. Principal gradients separated grey & white matter regions across factors, though each factor showed distinct local organization
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Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
Factor analysis of dMRI statistic correlations across brain regions and controls revealed 3 dominant axes of dMRI statistic similarities, corresponding to diffusion magnitude ("overall diffusivity"), complexity ("non-Gaussian diffusivity"), & directional coherence ("anisotropy")
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Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
Many dMRI statistics have been investigated, but their whole-brain relationships are unclear. This makes it challenging to determine which statistics capture overlapping vs. unique microstructural information
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Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
Diffusion MRI (dMRI) is sensitive to the brain's microstructure, but a myriad of dMRI measures exist. Can their similarities be captured concisely by a few factors? How are these factors organized in the brain? How are they altered in focal epilepsy? A 🧵 (www.biorxiv.org/content/10.6...)
biorxiv.org
Mapping Whole-Brain Factors of Microstructural Similarity with Diffusion MRI
Diffusion MRI (dMRI) measures are sensitive to brain microstructure, yet the expanding number of dMRI statistics raises practical questions about their similarities. The sources of shared variability ...
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Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
I am so grateful for all of my amazing collaborators who helped make this research possible, particularly the outstanding mentorship and support from my advisor Kate Davis & close collaborator Ted Satterthwaite (@ted-satterthwaite.bsky.social)
010
Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
Takeaway #3: Microstructural factors are distinctly organized, which influences their sensitivity to microstructural changes in different regions. In TLE, factor alterations differed within clinically relevant circuits --> Disease mapping benefits from using complementary metrics
100
Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
Takeaway #2: dMRI microstructural investigations may benefit from using at least 1 dMRI statistic per microstructural factor, as overall, non-Gaussian, and anisotropic diffusivity carry complementary information
100
Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
Takeaway #1: We provide a reference for dMRI statistic similarity, releasing mean dMRI statistic & factor maps in a standard template (MNI) space (osf.io/xsr7y) for further study. dMRI statistic loadings are shared so investigators can map their data on these factors
osf.io
OSF
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Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
Hippocampal overall/non-Gaussian diffusivity alterations were more pronounced in TLE than measures of anisotropy. Did this extend to patient-specific images? Yes: RTOP/MD (overall) & ICVF (non-Gaussian) exhibited clearer hippocampal asymmetries than FA (anisotropic)
100
Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
TLE abnormalities were most pronounced in temporolimbic regions, prompting closer examination of the mesial limbic circuit. Factor alterations were heterogeneous here, suggesting that multiple microstructural factors may be needed to comprehensively map focal circuit disruptions
100
Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
We characterized how each factor captured microstructural alterations in unilateral temporal lobe epilepsy (TLE). We mapped microstructural abnormalities & their asymmetries (ipsilateral vs. contralateral regions to the seizure focus) within each factor & across all statistics
100
Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
We examined gradients of factor similarity across the brain. Regions closer along gradients --> more similar factor expression. Principal gradients separated grey & white matter regions across factors, though each factor showed distinct local organization
100
Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
Factor analysis of dMRI statistic correlations across brain regions and controls revealed 3 dominant axes of dMRI statistic similarities, corresponding to diffusion magnitude ("overall diffusivity"), complexity ("non-Gaussian diffusivity"), & directional coherence ("anisotropy") Image
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Marc Jaskir @marcjaskir.bsky.social · 18/08/2026
Many dMRI statistics have been investigated, but their whole-brain relationships are unclear. This makes it challenging to determine which statistics capture overlapping vs. unique microstructural information
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Reposted by Marc Jaskir
Steven Meisler @stevenmeisler.com · 19/04/2026
Diffusion MRI (dMRI) is a powerful tool to study white matter maturation. In our new preprint, we process and distribute a new resource of >24,000 ABCD dMRI scans using open source tools! We then evaluate how methods shape inferences about development. 🔗 www.biorxiv.org/content/10.6...
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Reposted by Marc Jaskir
Audrey Luo @audreycluo.bsky.social · 20/03/2025
We think of white matter as the brain's highways—uniform conduits between cortices. But what if we study development along tracts? Turns out the journey matters as much as the cortical destination! We're thrilled to share “Two Axes of White Matter Development” www.biorxiv.org/content/10.1... 1/n
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