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#connectomics

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Technische Universität München<p>The new Center for Structural and Functional <a href="https://wisskomm.social/tags/Connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Connectomics</span></a> (CSFC) will be established on our <a href="https://wisskomm.social/tags/Garching" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Garching</span></a> <a href="https://wisskomm.social/tags/campus" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>campus</span></a> with funding of around €69 million. 👏 Focus lies on the comprehensive mapping &amp; analysis of all <a href="https://wisskomm.social/tags/neuronal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuronal</span></a> connections in the brain: <a href="http://go.tum.de/373567" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="">go.tum.de/373567</span><span class="invisible"></span></a></p><p>📷A.Eckert</p>
Gaspar Jekely<p>By combining <a href="https://biologists.social/tags/connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connectomics</span></a> and high-speed imaging, we could infer a function for the nerve net in the coordination of the beating-arrest cycles and beat frequency of balancer cilia.</p>
Albert Cardona<p><span class="h-card" translate="no"><a href="https://biologists.social/@biorxiv_neursci" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>biorxiv_neursci</span></a></span> </p><p><a href="https://mathstodon.xyz/tags/POINTseq" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>POINTseq</span></a> : "(projections of interest by sequencing), a high-throughput and user-friendly barcoded connectomics method that uses cell type specific barcoding and sequencing to rapidly map single-cell projections of a cell type of interest for thousands of neurons per animal."</p><p>"We then applied POINTseq to midbrain dopaminergic neurons and reconstructed the brain-wide single-cell projections of 3,813 dopaminergic neurons in ventral tegmental area (VTA) and substantia nigra pars compacta (SNc)."</p><p>From Justus Kebschull's lab.</p><p><a href="https://mathstodon.xyz/tags/connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connectomics</span></a> <a href="https://mathstodon.xyz/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a></p>
Albert Cardona<p><span class="h-card" translate="no"><a href="https://biologists.social/@biorxiv_neursci" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>biorxiv_neursci</span></a></span> </p><p><a href="https://mathstodon.xyz/tags/connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connectomics</span></a> in the hummingbird hawkmoth – yowza! With block-face SEM.</p><p>Plus electrophysiology of visual neurons – impaling somas for intracellular measurements.</p>
flypapers<p>📰 "Cross-species comparative connectomics reveals the evolution of an olfactory circuit"<br><a href="https://www.biorxiv.org/content/10.1101/2025.06.11.659158v1?rss=1" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">biorxiv.org/content/10.1101/20</span><span class="invisible">25.06.11.659158v1?rss=1</span></a><br> <a href="https://biologists.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroscience</span></a><br> <a href="https://biologists.social/tags/Connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Connectomics</span></a><br> <a href="https://biologists.social/tags/Evolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Evolution</span></a><br> <a href="https://biologists.social/tags/Drosophila" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Drosophila</span></a> <a href="https://biologists.social/tags/Behaviour" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Behaviour</span></a> <a href="https://biologists.social/tags/Larva" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Larva</span></a></p>
Albert Cardona<p>Davi Bock on the fly connectome, its uses, its impact beyond – and his life.<br><a href="https://www.uvm.edu/magazine/news/thoughts-fly" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">uvm.edu/magazine/news/thoughts</span><span class="invisible">-fly</span></a><br><a href="https://mathstodon.xyz/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://mathstodon.xyz/tags/neuroscientists" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscientists</span></a> <a href="https://mathstodon.xyz/tags/biographies" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biographies</span></a> <a href="https://mathstodon.xyz/tags/connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connectomics</span></a></p>
Albert Cardona<p>"Single-cell type analysis of wing premotor circuits in the ventral nerve cord of Drosophila melanogaster", Ehrhardt et al. 2025<br><a href="https://elifesciences.org/reviewed-preprints/106548" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">elifesciences.org/reviewed-pre</span><span class="invisible">prints/106548</span></a></p><p><a href="https://mathstodon.xyz/tags/connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connectomics</span></a> <a href="https://mathstodon.xyz/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://mathstodon.xyz/tags/Drosophila" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Drosophila</span></a></p>
Albert Cardona<p><span class="h-card" translate="no"><a href="https://biologists.social/@biorxiv_neursci" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>biorxiv_neursci</span></a></span> </p><p>Latest from Stefanie Hampel and Andrew Seeds's labs.</p><p>"we use a serial section electron microscopy reconstruction of a full adult fly brain to identify nearly all of BMN pre- and postsynaptic partners, uncovering circuit pathways that control head grooming"</p><p><a href="https://mathstodon.xyz/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://mathstodon.xyz/tags/connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connectomics</span></a> <a href="https://mathstodon.xyz/tags/Drosophila" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Drosophila</span></a></p>
Albert Cardona<p>From Elizabeth Marin at Zoology Dept., Cambridge University:</p><p>"Together with Greg Jefferis (MRC LMB, Cambridge), Wei-Chung Allen Lee (Harvard Medical School), and Meg Younger (Boston University), I have secured a £4.8M Wellcome Discovery Award to generate a mosquito brain connectome and investigate chemosensory circuits involved in human host-seeking."</p><p>"We are currently recruiting for two research assistant positions based in the Zoology department at Cambridge University. Please share this post with any likely candidates :)."</p><p><a href="https://www.jobs.cam.ac.uk/job/51256/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">jobs.cam.ac.uk/job/51256/</span><span class="invisible"></span></a></p><p><a href="https://mathstodon.xyz/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://mathstodon.xyz/tags/connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connectomics</span></a> <a href="https://mathstodon.xyz/tags/mosquito" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mosquito</span></a> <a href="https://mathstodon.xyz/tags/VolumeEM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VolumeEM</span></a></p>
Gaspar Jekely<p>Arrived at the Volume Electron Microscopy<br>Gordon Research Conference </p><p><a href="https://www.grc.org/volume-electron-microscopy-conference/2025/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">grc.org/volume-electron-micros</span><span class="invisible">copy-conference/2025/</span></a></p><p>near Barcelona. I will speak about Volume EM and <a href="https://biologists.social/tags/connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connectomics</span></a> in marine zoomplankton.</p><p> <a href="https://biologists.social/tags/vEM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>vEM</span></a> <a href="https://biologists.social/tags/microscopy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>microscopy</span></a> <a href="https://biologists.social/tags/connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connectomics</span></a></p>
Albert Cardona<p>"Comparative connectomics of Drosophila descending and ascending neurons", Tomke Stürner et al. 2025 (Greg Jefferis and Katharina Eichler's labs).<br><a href="https://www.nature.com/articles/s41586-025-08925-z" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">nature.com/articles/s41586-025</span><span class="invisible">-08925-z</span></a></p><p>Compares between males and females.</p><p><a href="https://mathstodon.xyz/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://mathstodon.xyz/tags/Drosophila" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Drosophila</span></a> <a href="https://mathstodon.xyz/tags/connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connectomics</span></a> <a href="https://mathstodon.xyz/tags/vEM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>vEM</span></a> <a href="https://mathstodon.xyz/tags/volumeEM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>volumeEM</span></a></p>
Albert Cardona<p>If you are going to <a href="https://mathstodon.xyz/tags/cosyne2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cosyne2025</span></a> do check out Yijie Yin's poster 2-040 in Poster Session 2:</p><p>"Connectome Interpreter: a toolkit for efficient connectome exploration and hypothesis generation"<br><a href="https://www.cosyne.org/poster-session-2" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">cosyne.org/poster-session-2</span><span class="invisible"></span></a></p><p>See also her software repository for the Connectome Interpreter:<br><a href="https://github.com/YijieYin/connectome_interpreter" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/YijieYin/connectome</span><span class="invisible">_interpreter</span></a></p><p><a href="https://mathstodon.xyz/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://mathstodon.xyz/tags/connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connectomics</span></a></p>
Albert Cardona<p>This conundrum may originate in the cell type-centric view of connectivity, rather than considering the actual connectome into the analysis. The authors more or less say as much in the discussion:</p><p>"two cell types can have similar physiology and relatively similar connectivity without sharing input cell types. Overall, this analysis suggests that defining connection similarity by cell types may overly discretize the network, obscuring structure-function relationships."</p><p><a href="https://mathstodon.xyz/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://mathstodon.xyz/tags/connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connectomics</span></a> <a href="https://mathstodon.xyz/tags/CellTypes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CellTypes</span></a></p>
Albert Cardona<p>"Infrequent strong connections constrain connectomic predictions of neuronal function", Currier and Clandinin<br><a href="https://www.biorxiv.org/content/10.1101/2025.03.06.641774v1.abstract" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">biorxiv.org/content/10.1101/20</span><span class="invisible">25.03.06.641774v1.abstract</span></a></p><p>Quite the reversal from studies showing that deriving connectomes from correlated neural activity is not accurate because of lacking a unique solution:</p><p>"we show that physiology is a stronger predictor of wiring than wiring is of physiology"</p><p><a href="https://mathstodon.xyz/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://mathstodon.xyz/tags/Drosophila" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Drosophila</span></a> <a href="https://mathstodon.xyz/tags/connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connectomics</span></a></p>
flypapers<p>📰 "Serotonin selectively modulates visual responses of object motion detection in Drosophila"<br><a href="https://www.biorxiv.org/content/10.1101/2025.03.21.644681v1?rss=1" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">biorxiv.org/content/10.1101/20</span><span class="invisible">25.03.21.644681v1?rss=1</span></a><br> <a href="https://biologists.social/tags/Connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Connectomics</span></a><br> <a href="https://biologists.social/tags/Drosophila" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Drosophila</span></a></p>
Albert Cardona<p>A review: "C. elegans wired and wireless connectome: insights into principles of nervous system structure and function", by K Venkatesh, L Ripoll-Sánchez, I Beets, WR Schafer 2025<br><a href="https://link.springer.com/article/10.1007/s12038-025-00513-7" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">link.springer.com/article/10.1</span><span class="invisible">007/s12038-025-00513-7</span></a></p><p><a href="https://mathstodon.xyz/tags/Celegans" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Celegans</span></a> <a href="https://mathstodon.xyz/tags/connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connectomics</span></a> <a href="https://mathstodon.xyz/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a></p>
Diffusion Imaging in Python<p>Excited to announce Prof. Maxime Descoteaux from Université de Sherbrooke &amp; SCIL, a pioneer in advanced diffusion MRI and connectomics, as a speaker at <a href="https://mastodon.social/tags/DIPYworkshop2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DIPYworkshop2025</span></a>! Join us to explore his cutting-edge presentation on Spherical Harmonic Reconstruction with derivative methods such as QBall, CSA and CSD. Don’t miss it! <a href="https://mastodon.social/tags/Neuroimaging" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroimaging</span></a> </p><p><a href="https://mastodon.social/tags/Connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Connectomics</span></a> <a href="https://mastodon.social/tags/BrainMapping" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BrainMapping</span></a>&nbsp;<a href="https://mastodon.social/tags/MRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MRI</span></a> <a href="https://mastodon.social/tags/DIPY" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DIPY</span></a> <a href="https://mastodon.social/tags/MedicalImaging" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MedicalImaging</span></a> <a href="https://mastodon.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a> <a href="https://mastodon.social/tags/learn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>learn</span></a></p>
Albert Cardona<p>Now that's a big deal, and from a very credible source:</p><p>"Self-supervised image restoration in coherent X-ray neuronal microscopy", Laugros et al. (Alexandra Pacureanu) 2025<br><a href="https://www.biorxiv.org/content/10.1101/2025.02.10.633538v1.full" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">biorxiv.org/content/10.1101/20</span><span class="invisible">25.02.10.633538v1.full</span></a></p><p>"we present a self-supervised image restoration approach that simultaneously improves spatial resolution, contrast, and data acquisition speed. This enables revealing synapses with XNH, marking a major milestone in the quest for generating connectomes of full mammalian brains."</p><p>X-ray nanoholography took a turn towards higher resolution and higher throughput.</p><p><a href="https://mathstodon.xyz/tags/XNH" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>XNH</span></a> <a href="https://mathstodon.xyz/tags/connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connectomics</span></a> <a href="https://mathstodon.xyz/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a></p>
Albert Cardona<p><span class="h-card" translate="no"><a href="https://mastodon.social/@brembs" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>brembs</span></a></span> This is very true as well in my field. Very incomplete data sets in <a href="https://mathstodon.xyz/tags/connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connectomics</span></a> that then modelers pick up and run with, and don't understand when we show a lack of enthusiasm for their findings because the many limitations of the data weren't considered. To be fair, such limitations are as buried as possible in most manuscripts.</p>
Albert Cardona<p><span class="h-card" translate="no"><a href="https://mastodon.social/@katchwreck" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>katchwreck</span></a></span> For sure we won't understand how the brain works until the role of astrocytes and other glial cells is fully understood.<br>The <a href="https://mathstodon.xyz/tags/connectome" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connectome</span></a> though is understood as the wiring diagram where neurons are nodes and edges are synaptic connections. For additional interactions there's the "<a href="https://mathstodon.xyz/tags/neuromodulome" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuromodulome</span></a>" for e.g., neuropeptide/neuromodulator vs. the corresponding receptor, like in this paper by Lidia Ripoll-Sánchez et al. 2023 on C. elegans: <br>"The neuropeptidergic connectome of C. elegans" <a href="https://www.cell.com/neuron/fulltext/S0896-6273(23)00756-0" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">cell.com/neuron/fulltext/S0896</span><span class="invisible">-6273(23)00756-0</span></a><br><a href="https://mathstodon.xyz/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://mathstodon.xyz/tags/Celegans" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Celegans</span></a> <a href="https://mathstodon.xyz/tags/connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connectomics</span></a></p>