Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping of the human brain.

[alpinho]

Title
Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping of the human brain.

Presentor(s) and Affiliations Ana Luísa Pinho, Inria, France (@alpinho) (for oral session and lightning talk)
Juan Jesús Torre, Inria, France (@Hororohoruru) (for oral session)

Collaborators Bertrand Thirion, Inria, France (@bthirion)

SP2 - HBP consortium

Github Link (if applicable) https://github.com/hbp-brain-charting/

For further information, consult:
https://project.inria.fr/IBC/

Abstract (max. 200 words): Linking brain systems and mental functions requires accurate descriptions of behavioral tasks and fine demarcations of brain regions. To date, no data collection has systematically addressed the functional mapping of cognitive mechanisms at a fine spatial scale. The Individual Brain Charting (IBC) dataset stands for a high-resolution multi-task fMRI dataset that intends to provide a framework toward a comprehensive functional atlas of the human brain. The data refer to a permanent cohort (12 participants) performing many different tasks, free from both inter-subject and inter-site variability. The first release of the IBC dataset is already out and publicly available in the OpenNeuro (ds000244) and NeuroVault (id=4438). These maps reveal a successful cognitive encoding of many psychological domains in large areas of the human brain, as the main findings of the original studies were reproduced at a high resolution. They thus provide a comprehensive revision of the neural correlates underlying behavior, highlighting nonetheless the spatial variability of functional signatures between participants. Additionally, this dataset supports the investigation of mega-analytic encoding models to be implemented in a brain-atlasing infrastructure, by systematically mapping functional signatures associated with the cognitive components of the tasks.

Preferred Session Oral Session - 2. From statistical to biological validity

Lightning talk - 1. Neuroscience toolkit" or "2. Multi-modal research".

Additional Context The neuroimaging community is welcome to both use the IBC data and collaborate with us. We are happy to discuss with anyone interested to share their behavioral protocols, to be reproduced and included in future releases of the IBC dataset.

For further discussions, we will be availabe on Wednesday during the poster session:
W585 - Functional specialization in human cognition: a large-scale neuroimaging initiative

[TimVanMourik]

Hi @alpinho, I’m happy to tell you that we’d like to host your presentation as a demo/tutorial in the OSR in the From statistical to biological validity session. This will be a talk of 20 minutes + 5 minutes of questions. We’ll update the program in the ReadMe.md shortly. We’d much appreciate it if you could submit slides and other presentation material to the presentations folder by means of a Pull Request to this repository, preferably but not necessarily before the presentation.

[alpinho]

Hello @TimVanMourik. Thank you! Yet, I would like to clarify that I didn't apply for a demo/tutorial. I applied for an oral presentation under the topic of "From statistical to biological validity". The presentation is intended to explain the features of the dataset, their accessibility and the analysis we performed in terms of quality data validation. So, it will follow a more traditional format. Is it still ok? Otherwise, a Lightning talk is also suitable.

[TimVanMourik]

Sorry, yes, absolutely! Internally we called the longer sessions demos/tutorials, but I suppose that’s not a blanket term for all presentations in that session. Your proposed format is fine. If you could tailor the presentation towards the topic of the session, the biological interpretation beyond the statistical interpretation, then that would be even better!

[alpinho]

OK. Thank you very much for your explanation. Yes! I'll explain how the IBC dataset is an appropriate tool to be applied in fundamental research, more concretely in cognitive neuroscience.