Thank you for the share @laurenatlas.bsky.social! Would not have been possible without @torwager.bsky.social!

Lastly, I want to especially acknowledge Tor (my PhD mentor and Co PI; @torwager.bsky.social) and Martin Lindquist (Grant PI; @fmristats.bsky.social) for making this project possible, and Yarik Halchenko and Patrick Sadil for their teamwork and extraordinary commitment to open science!

[7/7] 🚀 Sharing this to collaboratively advance naturalistic, cognitive, pain, & affective neuroscience!

Huge thanks to all amazing co-authors who made this possible!

Paper: rdcu.be/eBTy2
@ScientificData

Dataset: openneuro.org/datasets/ds0...

[6/7] 💾 Open science excellence:
• Full dataset on OpenNeuro (ds005256)
• BIDS format + fMRIPrep preprocessed
• All experimental code/stimuli on GitHub
• Data collection instructions prototyped across

[5/7] 🔑 Key applications:
• Functional (hyper-)alignment methods using shared movie data
• Individual differences in pain processing
• Cross-task cognitive state decoding
• Naturalistic vs experimental task validation

Tell us how YOU plan to use this – we’re excited to see!

[4/7] ✅ Data quality metrics show exceptional standards:
• Uniform Temporal SNR across all tasks
• Framewise displacement <0.2mm (better than UK Biobank)
• Statistical maps confirm expected activations, aligned with established literature

[3/7] 👩‍🔬 The experimental component:
• 9 different experimental tasks – “social”, “faces”, “shortvideo”, “fractional" – including its subtasks across core cognitive domains.
• Strategic bridge: Enough tasks to link controlled paradigms with naturalistic brain states

[2/7] 🎬 The naturalistic component:
• 90 min of movie viewing + 30 min audio narratives with subjective ratings.
• Ecological validity beyond controlled experiments
• With LLMs advancing, this serves as a playground for understanding brains on naturalistic content!

[1/7]⚡️What makes this unique:
• N=101 (✓ between-subject power)
• 6hrs/person (✓ within-subject reliability)
• 41 fMRI runs: naturalistic + experimental
• High tSNR, FD<0.2mm
• Brain/behavior/physiology/pain phenotyping

New Open dataset alert:
🧠 Introducing "Spacetop" – a massive multimodal fMRI dataset that bridges naturalistic and experimental neuroscience!

N = 101 x 6 hours each = 606 functional iso-hours combining movies, pain, faces, theory-of-mind and other cognitive tasks!

🧵below