Vincent Bazinet
@VinceBazz
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Graduate Student in Neuroscience @TheNeuro_MNI | McGill University | he/him
Montréal, Québec
Joined May 2019
We discuss how local biological annotations can enhance connectomic studies in our most recent review. Go check it out! 🥳 And if you'd like to get started with brain annotations, neuromaps is there for you: Code -> https://t.co/v4zjJaREE5 Doc ->
github.com
A toolbox for comparing brain maps. Contribute to netneurolab/neuromaps development by creating an account on GitHub.
Towards a biologically annotated brain connectome | https://t.co/aH0dSBtKAL How do we integrate local biological annotations with connectome wiring? @VinceBazz + @JustineYHansen lay out how to build and analyze annotated connectomes @NatRevNeurosci ⤵️
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Our recent work on spin tests is now published in Imaging Neuroscience 🎉 As always, the code to reproduce our results and figures is available on github:
github.com
Code supporting Bazinet et al., 2025, "The effect of spherical projection on spin tests for brain maps" (Imaging Neuroscience) - netneurolab/bazinet_spins
The effect of spherical projections on spin tests for brain maps | https://t.co/NAkXjsO9Jo Spin tests are the de facto null model for map-to-map comparisons in brain imaging. Why don't they perfectly control false positives? @VinceBazz explores ⤵️
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Previous work showed that in controlled simulated settings, the spin test does not perfectly control for false positives. In my recent pre-print, we explored why this is the case! As always, the code to reproduce results + figures is available here:
github.com
Code supporting Bazinet et al., 2025, "The effect of spherical projection on spin tests for brain maps" (Imaging Neuroscience) - netneurolab/bazinet_spins
The effect of spherical projections on spin tests for brain maps | https://t.co/avV6wWLATd Spin tests are the de facto null model for map-to-map comparisons in brain imaging. Why don't they perfectly control false positives? @VinceBazz explores ⤵️
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If you're interested in annotated connectomics, and would like to know more about my work on assortative mixing, come see my talk at #OHBM2024 in the Grand Ballroom 104-105 at 12pm today. And if you missed it, come have a chat at my poster (1537) on Wednesday and Thursday!
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Want to see how 239 (!) FC methods compare? We've got the full benchmark for you! Come talk to me at poster 1756 on Wed&Thr! @OHBM #OHBM2024 Preprint: https://t.co/BfvXACSz2S
Benchmarking methods for mapping functional connectivity in the brain | https://t.co/C9kCKmmNOY What is the best FC metric? Led by @liuzhenqi0303 avec @loopyluppi @JustineYHansen @yetianmed @AndrewZalesky @bttyeo @bendfulcher ⤵️
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#OHBM I will be talking about brainstem-cortex connectivity Tues 12pm @ ASEM Ballroom 202, and will be at poster 1714 Wed/Thurs :-) preprint for this work: https://t.co/Run0iDXusg
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conn2res: a toolbox for connectome-based reservoir computing | https://t.co/5SOOaa1Wtc Computational phenotyping of neural wiring: convert biological networks to artificial networks. by @Laura_E_Suarez ⤵️
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The latest in a series of interviews I've been conducting for @_TheTransmitter: https://t.co/Vqw6RWrWFA. I sat down with @misicbata and discussed his ideas on using network science to map the brain, including his beautiful work on Parkinson's disease with @alain_dagher. Enjoy!
thetransmitter.org
I got answers from Bratislav Misic, who is inventing practical ways to connect the brain’s microscopic features with its macroscopic organization.
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.@Laura_E_Suarez @misicbata @AgostonMihalik @g_lajoie_ @petra_vertes et al. develop a toolbox for designing connectome-based reservoir computers #reservoircomputing #connectomics #neuroscience #neuroai
https://t.co/HSxmGUflk8
nature.com
Nature Communications - Brain connectivity patterns shape computational capacity of biological neural networks, however mapping empirically measured connectivity to artificial networks remains...
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Integrating brainstem and cortical functional architectures | https://t.co/EphEGaAItz Led by @JustineYHansen 400 cortical regions + 58 brainstem nuclei. Hit it 🎸🤘😎⤵️
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It's finally out in @NatureNeuro! A special thanks to @AFornito and @amarquand for their perseverance in getting this out. https://t.co/78wBwAZWiD
@NSB_Lab @turnerinstitute
nature.com
Nature Neuroscience - A new brain mapping approach tailored to individual people reveals that volume changes in psychiatric illness occur in highly variable locations across individuals, but that...
Our latest PP: https://t.co/iJeygPTkm9. Amazing work by @AshleaSegal in close collab with @amarquand and many others, using a multi scale approach to understand individual differences of brain deviations in 6 psychiatric disorders. Peep the thread...
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@loopyluppi @JustineYHansen @liuzhenqi0303 432 Sun/Mon Predicting micro-structure from low-dimensional embeddings of brain networks | @VinceBazz
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conn2res: a toolbox for connectome-based reservoir computing | https://t.co/LhU7pV0PPQ How do connectomes perform cognitive tasks? How does network architecture support computational function? Want to implement connectomes as artificial neural networks? By @Laura_E_Suarez ⤵️
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Are connectivity patterns between brain regions related to micro-architecture? My new paper exploring assortative mixing in connectomes (and much more!) is now out in Nature Communications 🥳 Paper: https://t.co/S3CxxtWt70 Code:
github.com
Code supporting Bazinet et al., 2023, "Assortative mixing in micro-architecturally annotated brain connectomes" (Nature Communications) - netneurolab/bazinet_assortativity
Assortative mixing in micro-architecturally annotated connectomes | https://t.co/35LBrnz4AM The conventional graph model abstracts away rich biological detail of neuronal populations. How is macroscale connectivity related to local micro-architecture? @VinceBazz investigates ⤵️
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Global network structure and local transcriptomic vulnerability shape atrophy frontotemporal dementia | https://t.co/06upXnWN66
@Brain1878 led by @goliashf @VinceBazz w/ @DadarMahsa @anitamanera @dlouiscollins @alain_dagher @sducharme66 ⤵️
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Time-resolved structure-function coupling in brain networks | https://t.co/ZuU5xBaj8X led by the dynamic duo @liuzhenqi0303 @bertha_vr w/ @Nathan_Spreng @BorisBernhardt @richardfbetzel How does structure-function coupling fluctuate over time? Answers after the jump ⤵️
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Our work comparing AHBA gene expression with PET & autoradiography-derived receptor density is out in @NeuroImage_EiC ! Here we show that there is no limit to the number of scatter plots you can fit in a paper!
Correspondence between gene expression and neurotransmitter receptor density in the human brain | https://t.co/toHXQiV8li by @JustineYHansen w/ @rossdavism @Laurijohannes @martinnorgaard_ @ElenaK35 @alain_dagher Think you can replace receptors with gene expression? Yeah no ⤵️
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Correspondence between gene expression and neurotransmitter receptor density in the human brain | https://t.co/toHXQiV8li by @JustineYHansen w/ @rossdavism @Laurijohannes @martinnorgaard_ @ElenaK35 @alain_dagher Think you can replace receptors with gene expression? Yeah no ⤵️
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#MRI #metaanalysis #review maps central autonomic system. Sympathetic & parasympathetic activity across different domains engages anterior #insula and #ACC. Now in #Neuroscience & Biobehavioral Reviews. Congrats Stefania, with @klugah28 @VinceBazz @ShuxiaY
https://t.co/ofcpDh90sb
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