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#fmri

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Albert Cardona<p>And this one on humans:</p><p>"Multimodal single-neuron, intracranial EEG, and fMRI brain responses during movie watching in human patients", Keles et al. 2024 (Ueli Rutishauser's lab)<br><a href="https://www.nature.com/articles/s41597-024-03029-1" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">nature.com/articles/s41597-024</span><span class="invisible">-03029-1</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/fMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fMRI</span></a></p>
Albert Cardona<p>See also this study in mouse, comparing the fMRI's BOLD signal with Ca2+ imaging with GCaMP:</p><p>"Multimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization"<br>Vafaii et al. 2024 (Luiz Pessoa lab)<br><a href="https://www.nature.com/articles/s41467-023-44363-z" 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">-44363-z</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/fMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fMRI</span></a></p>
Albert Cardona<p>For voxel resolutions used, "typically 2–3 mm in each dimension", and the time constants at play, "peaking around 4 to 5 seconds after local neural activity and returning to baseline after 12 to 15 seconds", any claims towards a neural circuit basis of the phenomena observed is, at best, wishful thinking.</p><p>Bear in mind neurons communicate in time scales of single-digit milliseconds, and their arbours span from micrometres to centimetres. The typical fMRI sampling as described above falls very short on both the spatial and the temporal dimensions.</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>Annual reminder of what is the BOLD signal used in fMRI studies of the human brain:</p><p>"The standard pulse sequence for measuring brain function is the echo planar imaging (EPI) sequence. EPI has two desirable properties for fMRI: It is extremely fast, allowing an entire slice to be acquired from one RF pulse in less than 100 ms, and it is sensitive to T2*, which, as we will see later, is how MRI measures neural activity. [...] To link this to magnetic resonance, remember that T2* decay reflects dephasing of protons caused by field inhomogeneities. Blood has different magnetic properties depending on oxygenation: Deoxygenated blood interacts with the magnetic field because the iron in hemoglobin is unbound, whereas oxygenated blood in which the iron is bound to oxygen does not. Deoxygenated blood thus causes faster T2* decay and reduces signal relative to oxygenated blood. This difference in signal is referred to as the blood oxygenation level–dependent (BOLD) contrast. [...] increased signal in a voxel measured with an EPI 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", 6th edition. Kandel et al. 2021.</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/BOLDsignal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BOLDsignal</span></a> <a href="https://mathstodon.xyz/tags/FMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FMRI</span></a></p>
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 hashtag#BrainAsPredictor 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>
ABCD-J<p><a href="https://nrw.social/tags/RSE" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RSE</span></a> <a href="https://nrw.social/tags/Stories" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Stories</span></a> hinter <a href="https://nrw.social/tags/ABCD_J" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ABCD_J</span></a>: <span class="h-card" translate="no"><a href="https://mas.to/@jsheunis" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>jsheunis</span></a></span> (<a href="https://www.abcd-j.de/contributors/stephan-heunis/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">abcd-j.de/contributors/stephan</span><span class="invisible">-heunis/</span></a>) entwickelt federführend <span class="h-card" translate="no"><a href="https://fosstodon.org/@datalad" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>datalad</span></a></span> catalog, die Software hinter unserem (Meta-)Datenkatalog. Früher hat her mit Echtzeit <a href="https://nrw.social/tags/fMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fMRI</span></a> in Gehirne geschaut, jetzt baut er <a href="https://nrw.social/tags/Open_Source" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Open_Source</span></a> <a href="https://nrw.social/tags/Werkzeuge" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Werkzeuge</span></a> zur Unterstützung inklusiver <a href="https://nrw.social/tags/Wissenschaftsgeminschaften" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Wissenschaftsgeminschaften</span></a>.</p>
El Duvelle Neuro<p>Something I've always wondered about <a href="https://neuromatch.social/tags/fMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fMRI</span></a> - how can we interpret the BOLD signal when we don't know if any changes mostly come from inhibitory or excitatory neurons? Or should it just be used to say "region x is doing stuff" without ever knowing what it is doing?</p><p>What if inhibitory cells stop firing in a specific area? This should be registered as a "decreased activity" when it might just have allowed its excitatory cells to fire more but you wouldn't see it because inhibitory cells make the bulk of the energy consumption?</p><p><a href="https://neuromatch.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Neuroscience</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>
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>
Nikolaus Weiskopf<p><a href="https://social.mpdl.mpg.de/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>introduction</span></a></p><p>Hi,</p><p>I am a <a href="https://social.mpdl.mpg.de/tags/physicist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>physicist</span></a> and <a href="https://social.mpdl.mpg.de/tags/neuroscientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscientist</span></a> who tries to bring both fields together in <a href="https://social.mpdl.mpg.de/tags/neuroimaging" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroimaging</span></a>. </p><p>I direct the Dept of Neurophysics at the <a href="https://social.mpdl.mpg.de/tags/MPI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MPI</span></a> for Human Cognitive and Brain Sciences (<a href="https://www.cbs.mpg.de/en" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">cbs.mpg.de/en</span><span class="invisible"></span></a>). Our main tools are <a href="https://social.mpdl.mpg.de/tags/MRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MRI</span></a>, <a href="https://social.mpdl.mpg.de/tags/histology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>histology</span></a> and <a href="https://social.mpdl.mpg.de/tags/biophysical" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biophysical</span></a> <a href="https://social.mpdl.mpg.de/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modeling</span></a> for in-vivo histology (<a href="https://social.mpdl.mpg.de/tags/hMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>hMRI</span></a>) and ultra-high resolution <a href="https://social.mpdl.mpg.de/tags/fMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fMRI</span></a>.</p><p>Excited to see <a href="https://social.mpdl.mpg.de/tags/MastodonScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MastodonScience</span></a> growing so quickly 😀 </p><p>This is my personal account and my posts/toots are just my personal views.</p>
Philipp Kittler<p>It's time for an <a href="https://scientificnetwork.de/tags/introduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>introduction</span></a>.</p><p>In 2019, I changed my suit for a lab coat after 13 years as a <a href="https://scientificnetwork.de/tags/neuromarketing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuromarketing</span></a> consultant. Since then, I have been studying <a href="https://scientificnetwork.de/tags/biophysics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biophysics</span></a> at Humboldt University in <a href="https://scientificnetwork.de/tags/Berlin" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Berlin</span></a> with the goal of an master's degree in <a href="https://scientificnetwork.de/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</span></a>. My brain wants to understand brains. 😅 </p><p>I am interested in <a href="https://scientificnetwork.de/tags/NMR" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NMR</span></a> / <a href="https://scientificnetwork.de/tags/MRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MRI</span></a> / <a href="https://scientificnetwork.de/tags/fMRI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fMRI</span></a>, <a href="https://scientificnetwork.de/tags/CryoElectronMicroscopy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CryoElectronMicroscopy</span></a>, <a href="https://scientificnetwork.de/tags/connectomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connectomics</span></a>, cerebral <a href="https://scientificnetwork.de/tags/organoids" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>organoids</span></a>, simulation and modeling of processes and networks respectively.</p>
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