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Fresh preprint out!
Enning combines #NLP algorithm and #naturalistic #movie watching. >53,000 time points.
Core insight: The default network dominates neural responses to evolving movie stories
biorxiv.org/content/10.1101/…
@Mila_Quebec @McGillBME @mcgillu @yaledailynews @dartmouth
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We used data from 14 participants who watched Forrest Gump while their gaze was tracked (studyforrest.org/; thanks @eknahm and colleagues).
We determined phases of relatively high/low heart rate and used them as indicators of high/low arousal.
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We used the amazing @studyforrest dataset and an in-lab Raiders dataset to assess our model. These two datasets were collected with different movies, different participants, and different scanners and scan parameters, allowing us to evaluate model performance in diverse settings.
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Psst... We'll be at the @OHBM in Glasgow next month, and fired up a laser cutter to bring hand-crafted goodies - we just need more puns! So here's the deal: The DataLad-related pun with most likes underneath this posts wins a custom DataLad pen with their own message. Let's go!🥳
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Announcing the new datalad.org website!
Take a tour with our data minions and find out how DataLad can help you manage your data.
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FAIRly big: A framework for computationally reproducible processing of large-scale data biorxiv.org/cgi/content/shor… #bioRxiv
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But does the framework generalize? To demonstrate its potential for transparent sharing we adapted it to open data (@studyforrest) and open source software (#fmriprep). Thanks to @ReproNim and @yarikoptic for readily providing it in a container collection!
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7 years after the first data publication of the project there is now an independent extension with full-length MEG data!
A studyforrest extension, MEG recordings while watching the audio-visual movie “Forrest Gump” biorxiv.org/content/10.1101/…
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This is crazy cool! I did not have a close look at the data yet, but the possibilities are huge! Finally data to explore the temporal domain, and maybe even play with fusion approaches. I am so glad that the authors did this, and took the open path. Thank you very much!
7 years after the first data publication of the project there is now an independent extension with full-length MEG data!
A studyforrest extension, MEG recordings while watching the audio-visual movie “Forrest Gump” biorxiv.org/content/10.1101/…
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Just published in #JOSS_theOJ: 'DataLad: distributed system for joint management of code, data, and their relationship' doi.org/10.21105/joss.03262
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I feel like everyone should leave an emoji-appreciation on the PR that did the magic, as a little bit of feedback on how much this has improved all of our experiences: github.com/sparkletown/spark…
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An amazing resource for studying brain, behaviour, eye movement and emotional responses to movies @CynthiaCabanas
We have a new website, and -- holy cow -- does it look good!
studyforrest.org
Here is a summary ofsome of the updates that we made during #studyforresthackathon 1/5
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We're excited to present the results of the #studyforresthackathon - a 5 day effort to maintain, improve, and extend the Studyforrest project.
But before we begin, allow us to introduce the project and tell everyone new here what studyforrest actually is - a thread 🧵
"Mama Always Said, Life Was Like a Box of Chocolates. You Never Know What You're Gonna Get."
We're kicking off the #studyforresthackathon, and are excited about the projects ahead! #openscience #hackathon
As excited as we are? Watch this space for updates!
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Replying to @peerherholz @studyforrest
Yes, it's finished & uploaded in that very moment: github.com/psychoinformatics…
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Third day of the #studyforresthackathon! The TODO list on the project board still grows every day - the deeper we look into this, the more ideas emerge 🧑💻💡👩💻💡👨💻
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Updating data to the current @BIDSstandard shows us how much BIDS has grown! A massive shout-out to all BIDS-enthusiasts & contributors: Thank you! 💯💪
Its also an example of how data changes and evolves - @datalad helps us with transparent versioning #studyforresthackathon
Did you know that the first @studyforrest data release predates @BIDSstandard and its versatility informed the initial shaping of the standard, but the dataset was never updated to take full advantage of modern-day BIDS? We will fix this #studyforresthackathon
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If you missed @PsyInfOlaf's massive annotation effort, check out his and @eknahm's paper at @F1000Research 👇
Interested in more #naturalistic #fMRI annotations? At our #studyforresthackathon we will be giving all annotations a facelift (featuring @BIDSstandard) - stay tuned!
Happy fMRI modeling of spoken language using the studyforrest dataset (studyforrest.org) ahead: our (@eknahm) annotation of each sentence, word, and phoneme spoken in the movie "Forrest Gump" and its audio-description is now public! f1000research.com/articles/1…
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We are interested to know how much @datalad is used outside of the neuro*. If you use it in other fields of science - please let us know (twitter, or email debian AT onerussian.com). Links to your datasets or papers would be appreciated but not "required".
Please RT!
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New material for @studyforrest projects: Speech...and all of it!
Happy fMRI modeling of spoken language using the studyforrest dataset (studyforrest.org) ahead: our (@eknahm) annotation of each sentence, word, and phoneme spoken in the movie "Forrest Gump" and its audio-description is now public! f1000research.com/articles/1…



















