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bk<p>Spearheaded by the unstoppable Leili Mortazavi with Elnaz Ghasemi and Charlene C. Wu , this culminates &gt; 15 years of work!<br>The findings imply that some <a href="https://sfba.social/tags/FMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FMRI</span></a> findings are more robust than commonly thought (with respect to reliability, validity, and generalizability). <br>Special thanks to the editors and reviewers at PNAS Nexus and for support from Stanford University 's <a href="https://sfba.social/tags/Neurochoice" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neurochoice</span></a> Initiative and the <a href="https://sfba.social/tags/ToyotaResearchInstitute" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ToyotaResearchInstitute</span></a> ! (<a href="https://sfba.social/tags/AffectiveNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AffectiveNeuroscience</span></a> , <a href="https://sfba.social/tags/Neuroeconomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroeconomics</span></a> )</p>
bk<p>Other key points : <br>• Neural predictors of risky choice can be triply dissociated from neural correlates of sensory input and motor output. <br>• Predictors generalize across samples, tasks, and analyses (a priori and post-hoc)<br>• Predictors also account for individual differences in risky choice within the lab, as well as debt beyond the lab. <br>• Findings robustly support a <a href="https://sfba.social/tags/BrainAsPredictor" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BrainAsPredictor</span></a> account of risky choice of gambles (if you don't blow out your signal in the middle of the brain with <a href="https://sfba.social/tags/multiband" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>multiband</span></a> <a href="https://sfba.social/tags/FMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FMRI</span></a> acquisition, see Study 4)</p>
Martinus Hoevenaar<p>A brain sober versus a brain on LSD - fMRI-scans</p><p><a href="https://mastodon.art/tags/psychedelics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>psychedelics</span></a> <a href="https://mastodon.art/tags/lsd" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>lsd</span></a> <a href="https://mastodon.art/tags/fmri" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fmri</span></a></p>
Jo Etzel<p>Updating some slides about data sharing just now and was greeted by this banner at the top of the NDAR (AKA NIMH data archive, NDA, <a href="https://nda.nih.gov/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">nda.nih.gov/</span><span class="invisible"></span></a>) homepage. I don't know when the banner appeared; I last visited the site maybe a month ago.</p><p>Many NIH-funded human neuroscience-related projects are required to submit data (behavioral questionnaires, neuroimaging, many others) to NDAR, including some of the largest US fMRI projects (HCP, ABCD). </p><p>I consider its Data Dictionary a "least-bad" way to usefully share questionnaire data (it's no help to know that someone answered "5" to item 3 without knowing the question and answer that refers to). </p><p>Anyone know anything about the banner or NDAR's future?</p><p><a href="https://fediscience.org/tags/defendResearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>defendResearch</span></a> <a href="https://fediscience.org/tags/safeguardingResearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>safeguardingResearch</span></a> <a href="https://fediscience.org/tags/fMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fMRI</span></a> <a href="https://fediscience.org/tags/dataPrivacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataPrivacy</span></a></p>
PLOS Biology<p>How do the functional networks in the <a href="https://fediscience.org/tags/brain" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>brain</span></a> change at the beginning of human life? Longitudinal perinatal <a href="https://fediscience.org/tags/fMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fMRI</span></a> study of 140 babies by @LLanxin @moriahphd &amp;co reveals regionally specific changes in <a href="https://fediscience.org/tags/NeuralConnectivity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeuralConnectivity</span></a> at the birth transition <a href="https://fediscience.org/tags/PLOSBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PLOSBiology</span></a> <a href="https://plos.io/3OmmZUM" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">plos.io/3OmmZUM</span><span class="invisible"></span></a></p>
PLOS Biology<p>How is functional brain activity affected by daily life? @AnaM_Triana @eglerean &amp;co present <a href="https://fediscience.org/tags/fMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fMRI</span></a> data from 30 sessions with one person (across 15 weeks), revealing relationships between daily behavior &amp; brain function under different stimuli <a href="https://fediscience.org/tags/PLOSBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PLOSBiology</span></a> <a href="https://plos.io/3U2hBcA" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">plos.io/3U2hBcA</span><span class="invisible"></span></a></p>
bk<p><span class="h-card" translate="no"><a href="https://c.im/@icastico" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>icastico</span></a></span> <span class="h-card" translate="no"><a href="https://fediscience.org/@UlrikeHahn" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>UlrikeHahn</span></a></span> yes, but once the rule is the default, you’re no longer “deciding” (interestingly this maps onto some risky choice <a href="https://sfba.social/tags/fmri" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fmri</span></a> data we have)…</p>
Matt Willemsen<p>We Now Know The Exact Part of The Brain Behind Your Curiosity<br><a href="https://www.sciencealert.com/we-now-know-the-exact-part-of-the-brain-behind-your-curiosity" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">sciencealert.com/we-now-know-t</span><span class="invisible">he-exact-part-of-the-brain-behind-your-curiosity</span></a> <a href="https://mastodon.social/tags/psychology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>psychology</span></a> <a href="https://mastodon.social/tags/brain" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>brain</span></a> <a href="https://mastodon.social/tags/curiosity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>curiosity</span></a> <a href="https://mastodon.social/tags/fMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fMRI</span></a></p>
IT News<p>Human Brains Can Tell Deepfake Voices from Real Ones - Although it’s generally accepted that synthesized voices which mimic real people’s... - <a href="https://hackaday.com/2024/06/18/human-brains-can-tell-deepfake-voices-from-real-ones/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackaday.com/2024/06/18/human-</span><span class="invisible">brains-can-tell-deepfake-voices-from-real-ones/</span></a> <a href="https://schleuss.online/tags/voicesynthesis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>voicesynthesis</span></a> <a href="https://schleuss.online/tags/deepfake" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deepfake</span></a> <a href="https://schleuss.online/tags/science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>science</span></a> <a href="https://schleuss.online/tags/fmri" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fmri</span></a></p>
Stephen Matheson🌵🌲<p>This is gold:</p><p>"Being scientific is hard for human brains, but as an adversarial collaboration on a massive scale, science is our only method for collectively separating how we want things to be from how they are."</p><p><a href="https://www.thetransmitter.org/fmri/breaking-down-the-winners-curse-lessons-from-brain-wide-association-studies/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">thetransmitter.org/fmri/breaki</span><span class="invisible">ng-down-the-winners-curse-lessons-from-brain-wide-association-studies/</span></a></p><p><a href="https://fediscience.org/tags/fmri" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fmri</span></a><br><a href="https://fediscience.org/tags/thetransmitter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>thetransmitter</span></a><br><a href="https://fediscience.org/tags/ScienceMastodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ScienceMastodon</span></a> <br><a href="https://fediscience.org/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a></p>
PLOS Biology<p><a href="https://fediscience.org/tags/MultisensoryPerception" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MultisensoryPerception</span></a> changes as we get older, but how? @samuel_a_jones &amp;co use multivariate <a href="https://fediscience.org/tags/fMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fMRI</span></a> to show that older adults recruit similar brain regions, but increase activations in some of these regions to preserve performance <a href="https://fediscience.org/tags/PLOSBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PLOSBiology</span></a> <a href="https://plos.io/4923V6I" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">plos.io/4923V6I</span><span class="invisible"></span></a></p>
Brains<p>Thanks for sharing our still-premiering “Beginner’s Guide To Neural Mechanisms” video series, <span class="h-card"><a href="https://mementomori.social/@Lupposofi" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>Lupposofi</span></a></span>!</p><p>Here’s the playlist on <a href="https://fediscience.org/tags/YouTube" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>YouTube</span></a> in case that helps anyone navigate the videos: <a href="https://youtube.com/playlist?list=PLZn7I4seVynIdwkrECIj7Z4OKHX0CYiRD&amp;feature=shared" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">youtube.com/playlist?list=PLZn</span><span class="invisible">7I4seVynIdwkrECIj7Z4OKHX0CYiRD&amp;feature=shared</span></a></p><p>Many thanks to those who have started providing transcripts in languages besides English!</p><p><a href="https://fediscience.org/tags/cogSci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cogSci</span></a> <a href="https://fediscience.org/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a> <a href="https://fediscience.org/tags/neurometrics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neurometrics</span></a> <a href="https://fediscience.org/tags/fMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fMRI</span></a> <a href="https://fediscience.org/tags/neuroethics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroethics</span></a> <a href="https://fediscience.org/tags/neurophilosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neurophilosophy</span></a> <a href="https://fediscience.org/tags/philosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>philosophy</span></a> <a href="https://fediscience.org/tags/philosophyOfScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>philosophyOfScience</span></a> <a href="https://fediscience.org/tags/philosophyOfMind" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>philosophyOfMind</span></a> <a href="https://fediscience.org/tags/epistemology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>epistemology</span></a> <a href="https://fediscience.org/tags/psychology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>psychology</span></a> <a href="https://fediscience.org/tags/folkPsychology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>folkPsychology</span></a> <a href="https://fediscience.org/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modeling</span></a> <a href="https://fediscience.org/tags/freeWill" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>freeWill</span></a></p>
Albert Cardona<p><span class="h-card" translate="no"><a href="https://neuromatch.social/@NicoleCRust" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>NicoleCRust</span></a></span> </p><p>And to note that Geerlig's point (1) above on the mismatch between white matter tracts and functional networks should be pondered by those using tractography (another coarse spatial resolution technique) to make models of brain function. There are many such papers.</p><p><span class="h-card" translate="no"><a href="https://neuromatch.social/@tdverstynen" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>tdverstynen</span></a></span> </p><p><a href="https://mathstodon.xyz/tags/fMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fMRI</span></a> <a href="https://mathstodon.xyz/tags/tractography" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tractography</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://neuromatch.social/@NicoleCRust" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>NicoleCRust</span></a></span> </p><p>In 2015, I attended the first talk ever featuring fMRI where I found the application and results convincing. The talk was by Linda Geerligs and she described her, at the time, recent paper:</p><p>"A brain-wide study of age-related changes in functional connectivity" Geerligs et al. 2015<br>Cerebral cortex 25 (7):1987-99 <a href="https://academic.oup.com/cercor/article/25/7/1987/462366" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">academic.oup.com/cercor/articl</span><span class="invisible">e/25/7/1987/462366</span></a></p><p>The work focuses on longitudinal studies on humans, studying the same person over the years with fMRI. In her talk, she pointed out that:</p><p>(1) functional networks are not correlated with white matter tracts;<br>(2) there is a strong decline in functional network modularity with age;<br>(3) with age; intramodule connectivity decreases and intermodule connectivity increases;<br>(4) old adults that maintain the highly segregated functional network retain their mental abilities.</p><p>Overall I found the technique well suited to the question. In the first place because the study is longitudinal, comparing subjects to themselves over time. In the second place, because it did not attempt to make statements about specific areas of the brain, but rather, on how the relationships between areas, as far as they could be observed, changed over time within an individual.</p><p>An interesting study from which what we learn is matched to the strengths and limitations of the technique, and which does not attempt to make sweeping statements about the function of specific areas of the brain. At least that's what Geerligs did in her beautiful talk.</p><p>There may be caveats and limitations to the study, but as a non-fMRI specialist, I am unable to see them. Reads humble and as precise as it can be, not more and not less.</p><p><span class="h-card" translate="no"><a href="https://neuromatch.social/@tdverstynen" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>tdverstynen</span></a></span> </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/fMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fMRI</span></a></p>
Albert Cardona<p><span class="h-card" translate="no"><a href="https://neuromatch.social/@NicoleCRust" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>NicoleCRust</span></a></span></p><p>One study that comes to mind is:</p><p>"Motor Control by Sensory Cortex" by Matyas et al. 2010 (Carl Petersen's lab) <a href="https://www.science.org/doi/full/10.1126/science.1195797" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">science.org/doi/full/10.1126/s</span><span class="invisible">cience.1195797</span></a></p><p>... where they report "an additional and equally direct pathway for cortical motor control driven by the primary somatosensory cortex" in mice. This surprising result, breaking with Penfield's century-old division of labour between the motor cortex and the somatosensory cortex, is supported by voltage-sensitive dye (VSD) imaging of the whole mouse brain, showing widespread activity propagation with latencies of tens of milliseconds across most of the whole brain.</p><p>Suppose we were to attempt a similar measurement in humans with fMRI. What would we see with the very low pass filter in the temporal and spatial dimensions that we get from fMRI?</p><p>Perhaps this is indeed the wrong question, and in humans we ought to be asking different questions. But what questions? Matyas et al. highlights:</p><p>(1) how fast and wide signals spread across the whole mammalian brain;<br>(2) the inaccuracy of old neuroanatomical divisions of the brain;<br>(3) the fact that a much larger fraction of the brain is involved in any one behaviour than previously thought, larger than would have been ideal to make sense of the brain as a modular system when its activity is monitored with the low pass filter that is fMRI.</p><p>My question is: what kind of studies are sensible given fMRI's strengths and limitations? I have one example in the next post.</p><p>ICMS: intracortical microstimulation.</p><p><span class="h-card" translate="no"><a href="https://neuromatch.social/@tdverstynen" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>tdverstynen</span></a></span> </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/VoltageDyes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VoltageDyes</span></a> <a href="https://mathstodon.xyz/tags/mouse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mouse</span></a> <a href="https://mathstodon.xyz/tags/fMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fMRI</span></a></p>
Albert Cardona<p>Periodic reminder of what fMRI's BOLD signal is measuring, and its temporal dynamics:</p><p>"blood oxygenation level–dependent (BOLD) contrast. [...] increased signal in a voxel measured with an EPI [echo planar imaging] sequence indicates recent neuronal activity because of the relative increase in local blood oxygenation that accompanies such activity. The temporal profile of this BOLD response, known as the hemodynamic response function, looks like a bell curve with a long tail, peaking around 4 to 5 seconds after local neural activity and returning to baseline after 12 to 15 seconds."</p><p>From "Principles of Neural Science", Kandel et al. 6th edition, page 115.</p><p>No matter how fast the EPI imaging is (~100 ms), the BOLD dynamics makes GCaMP look lighting fast. Temporally deconvolving BOLD is possible, to a point, but remember its spatial resolution is measured in millimetres, whereas neuronal somas measure ~0.025 millimetres.</p><p><a href="https://mathstodon.xyz/tags/fMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fMRI</span></a> <a href="https://mathstodon.xyz/tags/BOLD" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BOLD</span></a> <a href="https://mathstodon.xyz/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a></p>
bk<p>Sudden insight ("AHA!") experiences, which increase <a href="https://sfba.social/tags/NAcc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NAcc</span></a> activity, also increase risky choice (<a href="https://sfba.social/tags/FMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FMRI</span></a>, <a href="https://sfba.social/tags/affectiveneuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>affectiveneuroscience</span></a>)<br><a href="https://www.nature.com/articles/s41598-023-44293-2" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">nature.com/articles/s41598-023</span><span class="invisible">-44293-2</span></a></p>
bk<p>Out in <span class="h-card" translate="no"><a href="https://bird.makeup/users/naturecomms" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>naturecomms</span></a></span> : "Ketamine’s acute effects on negative brain states are mediated through distinct altered states of consciousness in humans" -- initial report on acute drug <a href="https://sfba.social/tags/FMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FMRI</span></a> work with some of my favorite <span class="h-card" translate="no"><a href="https://neuromatch.social/@neurochoice" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>neurochoice</span></a></span> colleagues: <br><a href="https://www.nature.com/articles/s41467-023-42141-5" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">nature.com/articles/s41467-023</span><span class="invisible">-42141-5</span></a></p>
Tim Verstynen<p>More on the story of that retracted paper on “predicting” suicidal ideation that <span class="h-card"><a href="https://neuromatch.social/@kordinglab" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>kordinglab</span></a></span> and I identified serious errors in. </p><p>It turns out that the review process actually worked as it was supposed to. The paper was originally rejected, with two reviewers raising similar concerns as the post-publication public critiques (including ours) raised. Yet, despite the critical concerns and initial rejection, somehow Nature Human Behavior accepted the article anyway, without checking back with the original reviewers to see if the concerns (which ended up leading to the later retraction) were addressed.</p><p>This sort of editorial behavior only serves to accelerate the loss of faith in the scientific publishing.</p><p><a href="https://www.statnews.com/2023/06/09/retracted-suicide-risk-study-how-published/" rel="nofollow noopener" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">statnews.com/2023/06/09/retrac</span><span class="invisible">ted-suicide-risk-study-how-published/</span></a></p><p><a href="https://neuromatch.social/tags/Suicide" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Suicide</span></a> <a href="https://neuromatch.social/tags/science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>science</span></a> <a href="https://neuromatch.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://neuromatch.social/tags/fmri" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fmri</span></a> <a href="https://neuromatch.social/tags/retractionwatch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>retractionwatch</span></a></p>
Teixi<p><span class="h-card"><a href="https://neuromatch.social/@NicoleCRust" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>NicoleCRust</span></a></span> <span class="h-card"><a href="https://mastodon.social/@WorldImagining" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>WorldImagining</span></a></span> <span class="h-card"><a href="https://fediscience.org/@kinleyid" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>kinleyid</span></a></span> </p><p>Rapid list of some cool young pioneers that I follow/interact in this site &amp; from different backgrounds/focus.<br>+All with huge career paths ahead !</p><p><span class="h-card"><a href="https://neuromatch.social/@Natalie" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>Natalie</span></a></span> <br>• <a href="https://mastodon.social/tags/neuroscenius" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscenius</span></a> <a href="https://mastodon.social/tags/neurodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neurodon</span></a> migration help</p><p><span class="h-card"><a href="https://neuromatch.social/@PhiloNeuroScie" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>PhiloNeuroScie</span></a></span> <br>• transcriptomics + <a href="https://mastodon.social/tags/fmri" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fmri</span></a> qa</p><p><span class="h-card"><a href="https://neuromatch.social/@aazad" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>aazad</span></a></span> <br>• <a href="https://mastodon.social/tags/neuropods" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuropods</span></a> commentary</p><p><span class="h-card"><a href="https://mastodon.social/@neuronakaya" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>neuronakaya</span></a></span> <br>• mental health + <a href="https://mastodon.social/tags/neuroasia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroasia</span></a> community advocate</p><p><span class="h-card"><a href="https://qoto.org/@ilennaj" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>ilennaj</span></a></span> <br>• single neuron/dendrite comp modeling</p><p><span class="h-card"><a href="https://synapse.cafe/@lili" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>lili</span></a></span> <br>• <a href="https://synapse.cafe/about" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">synapse.cafe/about</span><span class="invisible"></span></a></p><p><span class="h-card"><a href="https://mastodon.social/@vineettiruvadi" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>vineettiruvadi</span></a></span><br>• <a href="https://mastodon.social/tags/neurodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neurodon</span></a> list</p>