Not a validation error, but generates noise. https://github.com/validator/validator/wiki/Markup-%C2%BB-Void-elements#trailing-slashes-directly-preceded-by-unquoted-attribute-values
127 lines
6.4 KiB
HTML
127 lines
6.4 KiB
HTML
<html>
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<head>
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<title>StudyForrest</title>
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<meta name="template" content="index">
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<meta name="save_as" content="index.html">
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<meta name="url" content="index.html">
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</head>
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<body>
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<div class='index-content'>
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<div class='card-solo'>
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<h2>What is <em>StudyForrest</em>?</h2>
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<p>The <strong>human brain</strong> processes vast amounts of diverse
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input that are continuously gathered across the senses. However, most
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experiments study the brain via simplified stimuli that do little to
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resemble the complexity of a <strong>natural environment</strong>
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— a mismatch that must be addressed if we are to better
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understand how the brain works.</p>
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<p>This project centers around the use of <strong>the movie Forrest
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Gump</strong>, which provides complex sensory input that is both
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reproducible and is also richly laden with real-life-like content and
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contexts.</p>
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<p>Since its initial release, the <em>StudyForrest</em> dataset has grown
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and been extended substantially, and now encompasses many <strong>hours
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of fMRI scans</strong>, structural brain scans, <strong>eye-tracking</strong>
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data, and extensive <strong>annotations</strong> of the movie. Explore
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the <a href="/data.html">Data Page</a> to more closely examine the data
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we have available.</p>
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</div>
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<h2>How Can You Use It?</h2>
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<div class='card-tri'>
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<div>
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<span class='icon-brain'></span>
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<h3>Neuroscience Researchers</h3>
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<p>This is a <strong>one-of-a-kind resource</strong> for studying
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high-level cognition in the human brain under complex, natural
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stimulation. Furthermore, the versatility of the provided data (some
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individuals have nearly ten hours of fMRI data) enables studies far
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beyond this main focus. This covers a vast range from studies of
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low-level signal properties and brain structure, to sensory
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integration and attentional processes, to computational modeling of
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representational spaces and brain area interactions. Take a look the
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<a href="/publications.html">List of Publications</a> to get
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inspired.</p>
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</div>
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<div>
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<span class='icon-beaker'></span>
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<h3>Scientific Developers</h3>
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<p>The <em>StudyForrest</em> project provides <strong>ideal reference
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datasets</strong> for brain imaging. It's a comprehensive, modular,
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multi-modal, real-world dataset — making it an optimal choice
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when benchmarking algorithms or comparing implementations across
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projects.</p>
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<p>Liberally licensed (<a href="https://opendatacommons.org/licenses/pddl/1-0/">PDDL</a>)
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and hosted across many <a href="/access.html">different services</a>
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(OpenNeuro, GIN, etc) with fine-grained access options, the
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<em>StudyForrest</em> dataset is easily accessible and is ready to be
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integrated into your CI infrastructure.</p>
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</div>
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<div>
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<span class='icon-world'></span>
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<h3>Everyone — and You</h3>
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<p>Not keen on brain research? This project still has something to offer
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to you! Our effort to analyze the <strong>structure of the movie
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<em>Forrest Gump</em></strong> and annotate its properties greatly
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expands the breadth of topics that can be explored. Check out the
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<a href="/data.html">Data Page</a> for more specifics.</p>
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<p>What we're most interested in is applications and inquiries that we
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have not anticipated — both within the field of neuroscience
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and beyond. So please, invent applications and <strong>explore ideas
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you have</strong> that we aren't even aware of... and do tell us
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about them!</p>
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</div>
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</div>
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<div class='card-solo'>
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<h2>How are People Using It?</h2>
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<p>The <em>StudyForrest</em> dataset has been used in over two dozen
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<a href="publications.html">studies</a> to investigate particular
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research questions or to validate novel tools and algorithms.</p>
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<blockquote> […] we use fMRI activity evoked by an emotionally
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charged movie and continuous ratings of the perceived emotion
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intensity to reveal the topographic organization of affective states.
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<br>—
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<a href="https://doi.org/10.1038/s41467-019-13599-z">
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Lettieri et al., Nature Comm., 2019</a>
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</blockquote>
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<blockquote>[…] high replicability in region-of-interest
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[…] analyses is essential for […] biomarkers of
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good health or disease. […] A critical analysis
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of cortical parcellation protocols from FreeSurfer, BrainSuite,
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BrainVISA and BrainGyrusMapping revealed major limitations.
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<br>—
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<a href="https://doi.org/10.1016/j.neuroimage.2017.02.082">
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Mikhael et al., NeuroImage, 2018</a>
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</blockquote>
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<blockquote>[…] We reveal here that hippocampal activity measured
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by fMRI during film watching is both sensitive and specific to event
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boundaries, identifying a potential mechanism whereby event
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boundaries shape experience by modulation of hippocampal activity.
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<br>—
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<a href="https://doi.org/10.1523/JNEUROSCI.0524-18.2018">
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Ben-Yakov & Henson, J Neuroscience, 2018</a>
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</blockquote>
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<blockquote>[…] magnetic resonance advection imaging might have future
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potential to contribute to the modeling of the cerebrovascular system and
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to serve as a biomarker for cerebrovascular disease. <br>—
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<a href="https://doi.org/10.1177/0271678X16651449">
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Voss et al., Journal of Cerebral Blood Flow & Metabolism, 2016</a>
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</blockquote>
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<blockquote>This also opens the door for the identification of shared and
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individual [brain] responses […] to assess the degree to which
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functional topography is shared across subjects. We posit that this
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technique can be adapted to examine an array of situations where group
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differences are the key experimental variable. <br>—
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<a href="https://papers.nips.cc/paper/5855-a-reduced-dimension-fmri-shared-response-model.pdf">
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Chen et al, NIPS, 2015</a>
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</blockquote>
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</div>
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</div>
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</body>
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</html>
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