4db12f4f32
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
786 lines
29 KiB
HTML
786 lines
29 KiB
HTML
<html>
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<head>
|
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<title>Overview of Data Types</title>
|
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<meta name="save_as" content="data.html">
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||
<meta name="url" content="data.html">
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</head>
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<body>
|
||
<p>Since its inception, the <em>StudyForrest</em> dataset has grown
|
||
appreciably through both internal and external contributions. Made
|
||
available are raw data, preprocessed data, and an extensive collection of
|
||
annotations of the movie. Often, multiple data types are available for the
|
||
same set of participants — for example, multiple fMRI scans of up to
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10 hours total per participant.</p>
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||
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<p>Below is an overview of all major components of the <em>StudyForrest</em>
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||
dataset. This includes data relating to brain structure, brain function,
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and movie stimulus properties. Further details for each data type can be
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found in the linked publications.</p>
|
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|
||
<form action='javascript:void(0)'
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||
onSubmit='filterForm(document.getElementById("data_filter_field").value);'
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||
onReset='filterForm("")'>
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||
<input id='data_filter_field' type="text" placeholder="Filter data types for..." aria-label="Filter data types for..."><button title='Filter Table' type="submit"><span class="icon-filter"></span></button>
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<input type="reset" value="Reset">
|
||
</form>
|
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<noscript>
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<p><strong>Enable JavaScript to filter through data types.</strong></p>
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||
</noscript>
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<section class='data-category'>
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||
<h2>Behavior and Brain Function</h2>
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||
<p class='data-category-count'></p>
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<p>A diverse set of stimulation paradigms and data acquisition setups were
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utilized to characterize participant's brain function on a variety of
|
||
dimensions.</p>
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||
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<div class="card-data">
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<div class='thumbnail'>
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||
<img src="/img/data/thumb_moviefmri_acq_ao_hrfmri.jpg"
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||
alt='Person hearing a movie, with recording of brainfunction,
|
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heartbeat, and breathing.'>
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</div>
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||
<div class='description'>
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||
<h3>High-res 7T fMRI on 2h Audio Movie (+Cardiac/Respiration)</h3>
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||
<p class="info">
|
||
<span class='icon-doc-text'></span>
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||
<a href="https://doi.org/10.1038/sdata.2014.3">Publication</a>
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||
<span class='icon-flashlight'></span><a href="/explore.html">Explore</a>
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<span class='icon-tags'></span>7T, audio, cardiac, respiration
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||
</p>
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<p>Two principle data modalities were acquired: Blood oxygenation level
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dependent (BOLD) fMRI scans, continuously capturing brain activity at
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a spatial resolution of 1.4 mm, and physiological recordings of heart
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beat and breathing. For technical validation, all measurements are
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also available for a full-length gel phantom scan.</p>
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||
</div>
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||
</div>
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|
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<div class="card-data">
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<div class='thumbnail'>
|
||
<img src="/img/data/thumb_musicfmri_acq.jpg"
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alt='Person hearing music, with recording of brainfunction,
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heartbeat, and breathing.'>
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</div>
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||
<div class='description'>
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||
<h3>High-res 7T fMRI Listening to Music (+Cardiac/Respiration)</h3>
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||
<p class="info">
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||
<span class='icon-doc-text'></span>
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<a href="https://doi.org/10.12688/f1000research.6679.1">Publication</a>
|
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<span class='icon-flashlight'></span><a href="/explore.html">Explore</a>
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<span class='icon-tags'></span>7T, music, cardiac, respiration
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</p>
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<p>High-resolution, ultra high-field (7 Tesla) functional magnetic
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resonance imaging (fMRI) data from 20 participants that were
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repeatedly stimulated with a total of 25 music clips, with and
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without speech content, from five different genres using a slow
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event-related paradigm. Physiological recordings of heart beat and
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breathing were simultaneously recorded as well.</p>
|
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</div>
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</div>
|
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|
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<div class="card-data">
|
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<div class='thumbnail'>
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||
<img src="/img/data/thumb_moviefmri_acq_av_lrfmri_eyegaze.jpg"
|
||
alt='Person watching and hearing a movie, with recording of
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brainfunction, heartbeat, and breathing.'>
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</div>
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<div class='description'>
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<h3>3T fMRI on 2h Movie, Eyegaze (+Cardiac/Respiration)</h3>
|
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<p class="info">
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<span class='icon-doc-text'></span>
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<a href="https://doi.org/10.1038/sdata.2016.92">Publication</a>
|
||
<span class='icon-flashlight'></span><a href="/explore.html">Explore</a>
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<span class='icon-tags'></span>3T, audio, eyegaze, cardiac, respiration
|
||
</p>
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<p>Two-hour 3 Tesla fMRI acquisition while 15 participants were shown an
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audio-visual version of the stimulus motion picture, simultaneously
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recording eye gaze location, heart beat, and breathing.</p>
|
||
</div>
|
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</div>
|
||
|
||
<div class="card-data">
|
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<div class='thumbnail'>
|
||
<img src="/img/data/thumb_retmap_acq.jpg"
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alt='Retinotopic Map'>
|
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</div>
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<div class='description'>
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<h3>Retinotopic Mapping</h3>
|
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<p class="info">
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<span class='icon-doc-text'></span>
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<a href="https://doi.org/10.1038/sdata.2016.93">Publication</a>
|
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<span class='icon-tags'></span>3T, retinotopic mapping, visual
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cortex, eccentricity, polar angle
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||
</p>
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<p>Standard 3 mm fMRI recording of a retinotopic mapping procedure with
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expanding and contracting ring and rotating wedge stimuli. Resulting
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eccentricity and polar angle maps of the visual cortex of 15
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participants are available.
|
||
</p>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="card-data">
|
||
<div class='thumbnail'>
|
||
<img src="/img/data/thumb_visloc_acq.jpg"
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||
alt='Brain with person, face, stapler, and house'>
|
||
</div>
|
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<div class='description'>
|
||
<h3>Higher Visual Area Localizer</h3>
|
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<p class="info">
|
||
<span class='icon-doc-text'></span>
|
||
<a href="https://doi.org/10.1038/sdata.2016.93">Publication</a>
|
||
<span class='icon-flashlight'></span><a href="/explore.html">Explore</a>
|
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<span class='icon-tags'></span>3T, visual area localizer, block-design, one-back task
|
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</p>
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<p>3mm fMRI data from a standard block-design visual area localizer
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using greyscale images for the stimulus categories human faces, human
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bodies without heads, small objects, houses and outdoor scenes
|
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comprising of nature and street scenes, and phase scrambled images.</p>
|
||
</div>
|
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</div>
|
||
|
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<div class="card-data">
|
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<div class='thumbnail'>
|
||
<img src="/img/data/thumb_orientfmri_acq.jpg"
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alt='Sample visual stimulus with high contrast parallel lines'>
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</div>
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<div class='description'>
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<h3>Multi-res 3T/7T fMRI (0.8-3mm) on Visual Orientation</h3>
|
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<p class="info">
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||
<span class='icon-doc-text'></span>
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<a href="https://doi.org/10.1016/j.neuroimage.2016.12.040">Publication</a>
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<span class='icon-tags'></span>7T, 3T, visual, oriented gratings, decoding
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</p>
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<p>Ultra high-field 7T and 3T fMRI data recorded at 0.8 (7T-only), 1.4,
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2, and 3 mm isotropic voxel size under stimulation with flickering,
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oriented grating stimuli. Grating orientation in the left and right
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visual field varied independently to enable decoding analyses.</p>
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</div>
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||
</div>
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</section>
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|
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<section class='data-category'>
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<h2>Brain Structure and Connectivity</h2>
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<p class='data-category-count'></p>
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<p>A versatile set of structural brain images are available to provide a
|
||
comprehensive in-vivo assessment of all participants' brain hardware.</p>
|
||
|
||
<div class="card-data">
|
||
<div class='thumbnail'>
|
||
<img src="/img/data/thumb_t1w.jpg" alt='T1 brain image'>
|
||
</div>
|
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<div class='description'>
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||
<h3>T1-weighted MRI</h3>
|
||
<p class="info">
|
||
<span class='icon-doc-text'></span>
|
||
<a href="https://doi.org/10.1038/sdata.2014.3">Publication</a>
|
||
<span class='icon-tags'></span>3T, T1
|
||
</p>
|
||
<p>An image with 274 sagittal slices (FoV 191.8×256×256 mm) and an
|
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acquisition voxel size of 0.7 mm with a 384×384 in-plane
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reconstruction matrix (0.67 mm isotropic resolution) was recorded
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||
using a 3D turbo field echo (TFE) sequence (TR 2500 ms, inversion
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time (TI) 900 ms, flip angle 8 degrees, echo time (TE) 5.7 ms,
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bandwidth 144.4 Hz/px, Sense reduction AP 1.2, RL 2.0, scan duration
|
||
12:49 min).</p>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="card-data">
|
||
<div class='thumbnail'>
|
||
<img src="/img/data/thumb_t2w.jpg" alt='T2 brain image'>
|
||
</div>
|
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<div class='description'>
|
||
<h3>T2-weighted MRI</h3>
|
||
<p class="info">
|
||
<span class='icon-doc-text'></span>
|
||
<a href="https://doi.org/10.1038/sdata.2014.3">Publication</a>
|
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<span class='icon-tags'></span>3T, T2
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</p>
|
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<p>A 3D turbo spin-echo (TSE) sequence (TR 2500 ms, TEeff 230 ms, strong
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SPIR fat suppression, TSE factor 105, bandwidth 744.8 Hz/px, Sense
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reduction AP 2.0, RL 2.0, scan duration 7:40 min) was used to acquire
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an image whose geometric properties otherwise match the T1-weighted
|
||
image.</p>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="card-data">
|
||
<div class='thumbnail'>
|
||
<img src="/img/data/thumb_swi.jpg" alt='SWI brain image'>
|
||
</div>
|
||
<div class='description'>
|
||
<h3>Susceptibility-weighted MRI</h3>
|
||
<p class="info">
|
||
<span class='icon-doc-text'></span>
|
||
<a href="https://doi.org/10.1038/sdata.2014.3">Publication</a>
|
||
<span class='icon-tags'></span>3T, SWI
|
||
</p>
|
||
<p>An image with 500 axial slices (thickness 0.35 mm, FoV 181×202×175 mm)
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||
and an in-plane acquisition voxel size of 0.7 mm reconstructed at
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0.43 mm (512×512 matrix) was recorded using a 3D Presto fast field
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||
echo (FFE) sequence (TR 19 ms, TE shifted 26 ms, flip angle 10
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||
degrees, bandwidth 217.2 Hz/px, NSA 2, Sense reduction AP 2.5, FH
|
||
2.0, scan duration 7:13 min).</p>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="card-data">
|
||
<div class='thumbnail'>
|
||
<img src="/img/data/thumb_dti.jpg" alt='DTI brain image'>
|
||
</div>
|
||
<div class='description'>
|
||
<h3>Diffusion-weighted MRI</h3>
|
||
<p class="info">
|
||
<span class='icon-doc-text'></span>
|
||
<a href="https://doi.org/10.1038/sdata.2014.3">Publication</a>
|
||
<span class='icon-flashlight'></span><a href="/explore.html">Explore</a>
|
||
<span class='icon-tags'></span>3T, DTI
|
||
</p>
|
||
<p>Diffusion data were recorded with a diffusion-weighted single-shot
|
||
spin-echo EPI sequence (TR 9545 ms, TE 80 ms, strong SPIR fat
|
||
suppression, bandwidth 2058.4 Hz/px, Sense reduction AP 2.0) using 32
|
||
diffusion-sensitizing gradient directions with b=800smm2b=800smm2
|
||
(two samples for each direction), 70 slices (thickness of 2 mm and an
|
||
in-plane acquisition voxel size of 2×2 mm, reconstructed at
|
||
1.7×1.7 mm, 144×144 in-plane matrix, FoV 224×248×140 mm). Acquisition
|
||
duration was 12:38 min.</p>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="card-data">
|
||
<div class='thumbnail'>
|
||
<img src="/img/data/thumb_angio.jpg" alt='Angiography'>
|
||
</div>
|
||
<div class='description'>
|
||
<h3>Angiography</h3>
|
||
<p class="info">
|
||
<span class='icon-doc-text'></span>
|
||
<a href="https://doi.org/10.1038/sdata.2014.3">Publication</a>
|
||
<span class='icon-tags'></span>7T, angiography
|
||
</p>
|
||
<p>A 3D multi-slab time-of-flight angiography was recorded at 7 Tesla
|
||
for the FoV of the fMRI recording. Four slabs with 52 slices
|
||
(thickness 0.3 mm) each were recorded (192×144 mm FoV, in-plane
|
||
resolution 0.3×0.3 mm, GRAPPA acceleration factor 2, phase encoding
|
||
direction right-to-left, 15.4% slice oversampling, 24 ms TR, 3.84 ms
|
||
TE).</p>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="card-data">
|
||
<div class='thumbnail'>
|
||
<img src="/img/data/thumb_surf.jpg"
|
||
alt="Closeup of FreeSurfer's cortical surface reconstruction">
|
||
</div>
|
||
<div class='description'>
|
||
<h3>Cortical Surface Reconstruction</h3>
|
||
<p class="info">
|
||
<span class='icon-doc-text'></span>
|
||
<a href="https://doi.org/10.1038/sdata.2014.3">Publication</a>
|
||
<span class='icon-flashlight'></span><a href="/explore.html">Explore</a>
|
||
<span class='icon-tags'></span>derivative
|
||
</p>
|
||
<p>Reconstructed cortical surfaces meshes and various associated
|
||
estimates were generated from the T1 and T2-weighted images of each
|
||
participant using the FreeSurfer 5.3 image segmentation and
|
||
reconstruction pipeline.</p>
|
||
</div>
|
||
</div>
|
||
</section>
|
||
|
||
<section class='data-category'>
|
||
<h2>Movie Stimulus Annotations</h2>
|
||
<p class='data-category-count'></p>
|
||
<p>Annotating the content of the Forrest Gump movie, the key stimulus used
|
||
in the project, is an open-ended endeavour. Its naturalistic nature is
|
||
rich in diverse visual and auditory features, but also the facets of
|
||
social communication enables and requires a versatile description.</p>
|
||
<div class="card-data">
|
||
<div class='thumbnail'>
|
||
<img src="/img/data/thumb_annot_locationtime.jpg"
|
||
alt='Four shots from the same scene, but in different locations.'>
|
||
</div>
|
||
<div class='description'>
|
||
<h3>Cuts, Depicted Locations, and Temporal Progression</h3>
|
||
<p class="info">
|
||
<span class='icon-doc-text'></span>
|
||
<a href="https://doi.org/10.12688/f1000research.9536.1">Publication</a>
|
||
<span class='icon-tags'></span>movie, annotation, cut, scenes, time progression, location
|
||
</p>
|
||
<p>The exact timing of each of the 870 shots, and the depicted location
|
||
after every cut with a high, medium, and low level of abstraction.
|
||
Additionally, four classes are used to distinguish the differences of
|
||
the depicted time between shots. Each shot is also annotated
|
||
regarding the type of location (interior/exterior) and time of day.
|
||
Cuts were initially detected using an automated procedure and were
|
||
then later curated by hand.</p>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="card-data">
|
||
<div class='thumbnail'>
|
||
<img src="/img/data/thumb_annot_speech.jpg"
|
||
alt='Forrest shaking the hand of Lt. Dan. Captioned.'>
|
||
</div>
|
||
<div class='description'>
|
||
<h3>Speech</h3>
|
||
<p class="info">
|
||
<span class='icon-doc-text'></span>
|
||
<a href="https://doi.org/10.12688/f1000research.27621.1">Publication</a>
|
||
<span class='icon-tags'></span>movie, soundtrack, annotation, speech, grammar, word, dialog
|
||
</p>
|
||
<p>The exact timing of each of the more than 2,500 spoken sentences,
|
||
16,000 words (including 202 non-speech vocalizations), 66,000
|
||
phonemes, and their corresponding speaker. Additionally, every word
|
||
is associated with a grammatical category, and its syntactic
|
||
dependencies are defined.</p>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="card-data">
|
||
<div class='thumbnail'>
|
||
<img src="/img/data/thumb_annot_emotion.jpg"
|
||
alt='Closeup on the face of an excited man.'>
|
||
</div>
|
||
<div class='description'>
|
||
<h3>Portrayed Emotions</h3>
|
||
<p class="info">
|
||
<span class='icon-doc-text'></span>
|
||
<a href="https://doi.org/10.12688/f1000research.6230.1">Publication</a>
|
||
<span class='icon-tags'></span>movie, annotation, emotion, arousal, valence, cue
|
||
</p>
|
||
<p>Description of portrayed emotions in the movie and the audio
|
||
description stimulus. The nature of an emotion is characterized with
|
||
basic attributes such as onset, duration, arousal, and valence
|
||
— as well as explicit emotion category labels and a record of
|
||
the perceptual evidence for the presence of an emotion.</p>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="card-data">
|
||
<div class='thumbnail'>
|
||
<img src="/img/data/thumb_annot_irony.jpg"
|
||
alt="A sign saying 'Hidden Beach'; CC-BY from https://www.flickr.com/photos/carbonnyc/76468122">
|
||
</div>
|
||
<div class='description'>
|
||
<h3>Semantic Conflict</h3>
|
||
<p class="info">
|
||
<span class='icon-doc-text'></span>
|
||
<a href="https://doi.org/10.12688/f1000research.9635.1">Publication</a>
|
||
<span class='icon-tags'></span>movie, annotation, lies, irony
|
||
</p>
|
||
<p>Identification of episodes with portrayal of lies, irony, or sarcasm
|
||
by three independent observers.</p>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="card-data">
|
||
<div class='thumbnail'>
|
||
<img src="/img/data/thumb_annot_bodycontact.jpg"
|
||
alt='Young Forrest and young Jenny hold hands.'>
|
||
</div>
|
||
<div class='description'>
|
||
<h3>Body Contact</h3>
|
||
<p class="info">
|
||
<span class='icon-doc-text'></span>
|
||
<a href="https://github.com/psychoinformatics-de/studyforrest-paper-bodycontactannotation/blob/master/paper/p.tex">Description</a>
|
||
<span class='icon-tags'></span>movie, annotation, body parts, touch, body language
|
||
</p>
|
||
<p>A detailed description of all body contact events in the movie,
|
||
including timing, actor and recipient, body parts involved, intensity
|
||
and valence of the touch, and any potential audio cues.
|
||
</p>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="card-data">
|
||
<div class='thumbnail'>
|
||
<img src="/img/data/thumb_annot_eyegaze.jpg"
|
||
alt='Forrest pointing to flashlights in the Watergate building,
|
||
with eyetracking data overlaid.'>
|
||
</div>
|
||
<div class='description'>
|
||
<h3>Eye Movement Labels</h3>
|
||
<p class="info">
|
||
<span class='icon-doc-text'></span>
|
||
<a href="https://doi.org/10.3758/s13428-020-01428-x">Publication</a>
|
||
<span class='icon-tags'></span>movie, annotation, eye gaze, saccades, fixations, smooth pursuit
|
||
</p>
|
||
<p>Classification of eye movements for two groups of 15 participants
|
||
watching the movie: one group inside an MRI scanner and another
|
||
group in a laboratory setting. Saccades, post-saccadic oscillations,
|
||
fixations, and smooth pursuit events are distinguished.
|
||
</p>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="card-data">
|
||
<div class='thumbnail'>
|
||
<img src="/img/data/thumb_annot_music.jpg"
|
||
alt='The word "Music", stylized. CC-BY-SA https://commons.wikimedia.org/wiki/File:Maroper_Music.jpg'>
|
||
</div>
|
||
<div class='description'>
|
||
<h3>Music</h3>
|
||
<p class="info">
|
||
<span class='icon-github'></span>
|
||
<a href="https://github.com/psychoinformatics-de/studyforrest-data-annotations">GitHub repository</a>
|
||
<span class='icon-tags'></span>music, annotations, soundtrack</p>
|
||
<p>Timing, artist, song title, and release year of every song in the movie's soundtrack.</p>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="card-data">
|
||
<div class='thumbnail'>
|
||
<img src="/img/data/thumb_annot_confounds.png"
|
||
alt='Low and high volume and brightness. Icons by svgrepo.com; CC0 1.0 Universal PD Dedication'>
|
||
</div>
|
||
<div class='description'>
|
||
<h3>Low-Level Perceptual Confounds</h3>
|
||
<p class="info">
|
||
<span class='icon-github'></span>
|
||
<a href="https://github.com/psychoinformatics-de/studyforrest-data-confoundsannotation">GitHub repository</a>
|
||
<span class='icon-tags'></span>movie, soundtrack, annotation</p>
|
||
<p>Frame-wise (40 milliseconds) annotations of auditory and visual
|
||
low-level confounds in the audio-description and audio-visual
|
||
movie: e.g. root-mean square power (a.k.a. volume), left-right
|
||
volume difference, brightness of each movie frame, and perceptual
|
||
difference of each movie frame in respect to its previous
|
||
frame.</p>
|
||
</div>
|
||
</div>
|
||
</section>
|
||
|
||
<h2>Participant/Acquisition Summary</h2>
|
||
<p>The following table shows what data are available for each participant.
|
||
Participant IDs are consistent across all acquisitions.</p>
|
||
|
||
<p>Raw and preprocessed data were released over time as several datasets, and
|
||
are typically available from multiple locations. If you cannot locate a
|
||
dataset component you are interested in, please get in touch. Likewise, if
|
||
you want to re-share data that was preprocessed in a particular way, please
|
||
contact
|
||
<a href="mailto:info@studyforrest.org?subject=studyforrest.org">info@studyforrest.org.</a></p>
|
||
|
||
<table class='participant-summary'>
|
||
<thead>
|
||
<tr>
|
||
<th scope='row'>Participant ID</th>
|
||
<th scope='col'>1-3</th>
|
||
<th scope='col'>4</th>
|
||
<th scope='col'>5</th>
|
||
<th scope='col'>6</th>
|
||
<th scope='col'>7-8</th>
|
||
<th scope='col'>9-10</th>
|
||
<th scope='col'>11-13</th>
|
||
<th scope='col'>14-15</th>
|
||
<th scope='col'>16-17</th>
|
||
<th scope='col'>18</th>
|
||
<th scope='col'>19</th>
|
||
<th scope='col'>20</th>
|
||
<th scope='col'>21</th>
|
||
<th scope='col'>22-36</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<th scope=rowgroup colspan=15>Structural MRI</th>
|
||
</tr>
|
||
<tr><th scope='row'>T1, T2, DWI, SWI, Angiography</th>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
</tr>
|
||
</tbody>
|
||
<tbody>
|
||
<tr>
|
||
<th scope=rowgroup colspan=15>Natural Stimulation</th>
|
||
</tr>
|
||
<tr><th scope='row'>2h audio movie (7T, +cardiac/resp)</th>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
<td> </td>
|
||
</tr>
|
||
<tr><th scope='row'>2h audio-visual movie (3T, eyegaze, +cardiac/resp)</th>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
<td> </td>
|
||
</tr>
|
||
<tr><th scope='row'>2h audio-visual movie (in-lab eyetracking)</th>
|
||
<td> </td>
|
||
<td> </td>
|
||
<td> </td>
|
||
<td> </td>
|
||
<td> </td>
|
||
<td> </td>
|
||
<td> </td>
|
||
<td> </td>
|
||
<td> </td>
|
||
<td> </td>
|
||
<td> </td>
|
||
<td> </td>
|
||
<td> </td>
|
||
<td>✓</td>
|
||
</tr>
|
||
</tbody>
|
||
<tbody>
|
||
<tr>
|
||
<th scope=rowgroup colspan=15>Task fMRI</th>
|
||
</tr>
|
||
<tr><th scope='row'>Listening to music (7T, +cardiac/resp)</th>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
<td> </td>
|
||
</tr>
|
||
<tr><th scope='row'>Retinotopic mapping (3T)</th>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
</tr>
|
||
<tr><th scope='row'>Visual area localizer (3T)</th>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
<td> </td>
|
||
</tr>
|
||
<tr><th scope='row'>Flickering oriented gratings (7T @ 0.8, 1.4, 2, and 3mm)</th>
|
||
<td> </td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
<td> </td>
|
||
<td> </td>
|
||
<td> </td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
</tr>
|
||
<tr><th scope='row'>Flickering oriented gratings (3T @ 1.4, 2, and 3mm)</th>
|
||
<td> </td>
|
||
<td> </td>
|
||
<td> </td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
<td> </td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
<td> </td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
</tr>
|
||
</tbody>
|
||
<tbody>
|
||
<tr>
|
||
<th scope=rowgroup colspan=15>Preprocessed Data</th>
|
||
</tr>
|
||
<tr><th scope='row'>FreeSurfer cortical surface reconstruction</th>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
<td> </td>
|
||
</tr>
|
||
<tr><th scope='row'>Participant and scan-specific template MRI images (for
|
||
alignment, masking, structural properties) & (non-)linear
|
||
transformations between image spaces</th>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
<td> </td>
|
||
</tr>
|
||
<tr><th scope='row'>Per-participant aligned fMRI data for within-subject analysis</th>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
<td> </td>
|
||
</tr>
|
||
<tr><th scope='row'>Audio-visual movie fMRI aggregate ROI timeseries for
|
||
Shen et al. (2013) cortex parcellation</th>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td>✓</td>
|
||
<td> </td>
|
||
<td> </td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
<script>
|
||
var data_categories = document.getElementsByClassName('data-category');
|
||
var data_filter = document.getElementById('data_filter_field');
|
||
|
||
// check if there's a term to filter from the URL
|
||
var term = getURLParam('filter');
|
||
if (term) {
|
||
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|
||
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|
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|
||
|
||
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|
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||
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||
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||
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|
||
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|
||
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|
||
history_title = 'Data - ' + term;
|
||
}
|
||
|
||
// add to address bar and history
|
||
history.pushState({}, history_title, history_url);
|
||
return false;
|
||
}
|
||
|
||
function getURLParam(param) {
|
||
var val = '';
|
||
location.search.substr(1)
|
||
.split("&")
|
||
.some(function(item) {
|
||
return item.split("=")[0] == param && (val = item.split("=")[1])
|
||
});
|
||
return val;
|
||
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|
||
|
||
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|
||
term = term.trim();
|
||
|
||
for (var i=0; i < data_categories.length; i++) {
|
||
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|
||
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|
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|
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|
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|
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|
||
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|
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</body>
|
||
</html>
|