Heejung Jung
@jungheejung.bsky.social
Cognitive Neuroscience, PhD
Postdoc @Stanford, PhD @Dartmouth
Mapping neural representations of the "future" | How do expectations about people, pain, and possibilities shape perception in real-time?
jungheejung.github.io
Postdoc @Stanford, PhD @Dartmouth
Mapping neural representations of the "future" | How do expectations about people, pain, and possibilities shape perception in real-time?
jungheejung.github.io
Thank you for the share @laurenatlas.bsky.social! Would not have been possible without @torwager.bsky.social!
September 5, 2025 at 1:44 AM
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!
September 5, 2025 at 12:42 AM
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...
Huge thanks to all amazing co-authors who made this possible!
Paper: rdcu.be/eBTy2
@ScientificData
Dataset: openneuro.org/datasets/ds0...
September 4, 2025 at 7:21 PM
[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...
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
• Full dataset on OpenNeuro (ds005256)
• BIDS format + fMRIPrep preprocessed
• All experimental code/stimuli on GitHub
• Data collection instructions prototyped across
September 4, 2025 at 7:21 PM
[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
• 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!
• 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!
September 4, 2025 at 7:21 PM
[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!
• 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
• Uniform Temporal SNR across all tasks
• Framewise displacement <0.2mm (better than UK Biobank)
• Statistical maps confirm expected activations, aligned with established literature
September 4, 2025 at 7:21 PM
[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
• 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
• 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
September 4, 2025 at 7:21 PM
[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
• 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!
• 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!
September 4, 2025 at 7:21 PM
[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!
• 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
• 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
September 4, 2025 at 7:21 PM
[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
• 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