Fabrice Tshimanga<p>1/n<br>Our pre-print is finally out!<br>Here's my first <a href="https://neuromatch.social/tags/paperthread" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>paperthread</span></a> 🧵<br>In this work, co-authors and I clustered ischaemic stroke patients profiles, and recovered common patterns of cognitive, sensorimotor damage.</p><p>...Historically many focal lesions to specific cortical areas were associated with specific distinction, but most strokes involve subcortical regions and bring multivariate patterns of deficits.<br>To characterize those patterns, many studies have turned to correlation analysis, factor analysis, PCA, focusing on the relations among variables==domains of impairments...</p><p><a href="https://www.medrxiv.org/content/10.1101/2023.11.08.23297808" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">medrxiv.org/content/10.1101/20</span><span class="invisible">23.11.08.23297808</span></a></p><p><a href="https://neuromatch.social/tags/stroke" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stroke</span></a> <a href="https://neuromatch.social/tags/neuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuroscience</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/clustering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>clustering</span></a></p>