Aims FMRI allows for characterization of brain activations in response to behavior. However, cognitive neuroscience is limited to group-level effects on specific tasks. Pooling data from different task-fMRI studies free from inter-subject and inter-site variability is mandatory toward a fine functional profile of cognitive atoms. We present the Individual Brain Charting dataset --concerning fMRI data acquired at high resolution (1.5mm) in the same environment and cohort-- and investigate the feasibility of individual functional atlasing using a rich taskwise dataset. Methods Individual z-maps from the 60 main contrasts across tasks were estimated to capture significant functional signatures. These derivatives were analyzed as in Pinho et al. (2018). Besides, contrasts were decomposed using dictionary-learning into individual networks featuring neural correlates common to the tasks. To gain insights about these commonalities, we also reconstructed contrasts from the remaining ones in a cross-validation experiment. Additionally, we delineated the cognitive profile of 6 regions-of-interest and assessed whether voxels were correctly assigned to these regions across participants. Results Individual components were consistently mapped and tasks were well predicted from one another. Yet, scores decreased when subjects were permuted between train and test, showing that topographies are driven by subject-specific anatomo-functional characteristics. Additionally, characterization of regions-of-interest from many contrasts objectively establishes functional specialization, supported by prediction accuracies of voxel classification. Conclusions Successful predictions revealed the existence of a latent structure underlying different tasks, illustrating the benefit of system-level, multi-task brain mapping. Contrasts and, subsequently, individual topographies are increasing with the latest releases, allowing for better brain-atlasing frameworks.

1. @ALuisaPinho
Segregation of functional territories in
individual brains
Ana Lu´ısa Pinho, Bertrand Thirion
Parietal Team
Inria Saclay – ˆIle-de-France
NeuroSpin, CEA-Saclay
France
June 2020

2. For more information about the project, consult:
https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/
Individual Brain Charting (IBC) project
2/13

3. For more information about the project, consult:
https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/
Individual Brain Charting (IBC) project
IBC dataset
open-access task-fMRI dataset
2/13

4. For more information about the project, consult:
https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/
Individual Brain Charting (IBC) project
IBC dataset
open-access task-fMRI dataset resolution: 1.5mm
2/13

5. For more information about the project, consult:
https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/
Individual Brain Charting (IBC) project
IBC dataset
open-access task-fMRI dataset resolution: 1.5mm
taskwise dataset
2/13

6. For more information about the project, consult:
https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/
Individual Brain Charting (IBC) project
IBC dataset
open-access task-fMRI dataset resolution: 1.5mm
taskwise dataset
fixed cohort (n=12)
2/13

7. For more information about the project, consult:
https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/https://project.inria.fr/IBC/
Individual Brain Charting (IBC) project
IBC dataset
open-access task-fMRI dataset resolution: 1.5mm
taskwise dataset
fixed cohort (n=12)
fixed environment
NeuroSpin platform, CEA-Saclay, France
Siemens 3T Magnetom Prismafit
64-channel coil
2/13

8. Individual functional atlasing
3/13

9. Individual functional atlasing
Knowledge accumulation from multiple tasks
3/13

10. Individual functional atlasing
Knowledge accumulation from multiple tasks
Map common representations in terms of functional segregation
3/13

11. Individual functional atlasing
Knowledge accumulation from multiple tasks
Map common representations in terms of functional segregation
Minimize inter-subject and inter-site variability across tasks
3/13

12. Individual functional atlasing
Knowledge accumulation from multiple tasks
Map common representations in terms of functional segregation
Minimize inter-subject and inter-site variability across tasks
Individual brain modeling
3/13

13. IBC dataset: First release
Tasks
ARCHI tasks
Pinel, P. et al. (2007)
Standard
Spatial
Social
Emotional
HCP tasks
Barch, D. M. et al. (2013)
Emotion
Gambling
Motor
Language
Relational
Social
WM
RSVP Language
Cognitive concepts:
visual/auditory
arithmetic processing
visual word recognition
vertical/horizontal
checkerboard
auditory sentence
recognition
sentence processing
response selection
left/right finger
response execution
visual tool/body
recognition
visual tracking
grasping
hand chirality/side
recognition
sounds/voice
perception
animacy
perception/decision
motion detection
theory-of-mind
emotion expression
identification
facial trustworthiness
recognition
gender discrimination
visual form recognition
feature comparison
emotional face
recognition
reward processing
punishment processing
left/right hand
response execution
left/right toe response
execution
working memory
story comprehension
visual pattern
recognition
relational comparison
response execution
visual face/place
recognition
tool/body/place/face
maintenance
updating
visual
pseudo-word/string
recognition
syntactic parsing
string/word
maintenance
4/13

14. IBC dataset: First release
Tasks
ARCHI tasks
Pinel, P. et al. (2007)
Standard
Spatial
Social
Emotional
HCP tasks
Barch, D. M. et al. (2013)
Emotion
Gambling
Motor
Language
Relational
Social
WM
RSVP Language
Cognitive concepts:
visual/auditory
arithmetic processing
visual word recognition
vertical/horizontal
checkerboard
auditory sentence
recognition
sentence processing
response selection
left/right finger
response execution
visual tool/body
recognition
visual tracking
grasping
hand chirality/side
recognition
sounds/voice
perception
animacy
perception/decision
motion detection
theory-of-mind
emotion expression
identification
facial trustworthiness
recognition
gender discrimination
visual form recognition
feature comparison
emotional face
recognition
reward processing
punishment processing
left/right hand
response execution
left/right toe response
execution
working memory
story comprehension
visual pattern
recognition
relational comparison
response execution
visual face/place
recognition
tool/body/place/face
maintenance
updating
visual
pseudo-word/string
recognition
syntactic parsing
string/word
maintenance
4/13

15. IBC dataset: First release
Tasks
ARCHI tasks
Pinel, P. et al. (2007)
Standard
Spatial
Social
Emotional
HCP tasks
Barch, D. M. et al. (2013)
Emotion
Gambling
Motor
Language
Relational
Social
WM
RSVP Language
Cognitive concepts:
visual/auditory
arithmetic processing
visual word recognition
vertical/horizontal
checkerboard
auditory sentence
recognition
sentence processing
response selection
left/right finger
response execution
visual tool/body
recognition
visual tracking
grasping
hand chirality/side
recognition
sounds/voice
perception
animacy
perception/decision
motion detection
theory-of-mind
emotion expression
identification
facial trustworthiness
recognition
gender discrimination
visual form recognition
feature comparison
emotional face
recognition
reward processing
punishment processing
left/right hand
response execution
left/right toe response
execution
working memory
story comprehension
visual pattern
recognition
relational comparison
response execution
visual face/place
recognition
tool/body/place/face
maintenance
updating
visual
pseudo-word/string
recognition
syntactic parsing
string/word
maintenance
Collection id=6618
4/13

16. Study 1
Dictionary of cognitive components

17. Dictionary of cognitive components
Decomposition of 51 contrasts
with dictionary learning
Individual topographies of
20 components
Each component gets the name
of the active condition from the
contrast with the highest loading.
6/13

18. Dictionary of cognitive components
Components are consistently mapped across subjects.
6/13

19. Dictionary of cognitive components
Components are consistently mapped across subjects.
6/13

20. Study 2
Reconstruction of functional contrasts

21. Reconstruction of functional contrasts
Leave-p-out CV (p=3 subjects)
experiment to learn the shared
representations from contrasts of
eleven tasks.
Predict all contrasts from the
remaining task
8/13

22. Reconstruction of functional contrasts
Most of the brain regions are covered by
the predicted functional signatures.
max R2
8/13

23. Reconstruction of functional contrasts
Permutations of subjects decrease the proportion of
well-predicted voxels in all tasks, showing that
topographies are driven by subject-specific variability.
8/13

24. Study 3
Example: Functional mapping of the language
network

25. Ex: Functional mapping of the language network
Cognitive profile of ROIs
based on IBC language-related contrasts
10/13

26. Ex: Functional mapping of the language network
Linear SVC (upper triangle)
Dummy Classifier (lower triangle)
LOGOCV scheme
Prediction within pairs of ROIs
13 groups = 13 participants
10/13

27. Conclusion
Functional atlasing using a large dataset in the task dimension
Extraction of common functional profiles between tasks
Common
functional profiles
Shared
behavioral responses
Mental
functions
11/13

28. Conclusion
Functional atlasing using a large dataset in the task dimension
Extraction of common functional profiles between tasks
Common
functional profiles
Shared
behavioral responses
Mental
functions
Individual brain modeling using data with higher spatial resolution
generalize across subjects
elicit variability between subjects
11/13

29. Announcement
Second and third releases of the IBC dataset
are already out!
Source data
ds002685
Unthresholded z-maps
Collection id = 6618
Documentation: https://project.inria.fr/IBC/data/https://project.inria.fr/IBC/data/https://project.inria.fr/IBC/data/https://project.inria.fr/IBC/data/https://project.inria.fr/IBC/data/https://project.inria.fr/IBC/data/https://project.inria.fr/IBC/data/https://project.inria.fr/IBC/data/https://project.inria.fr/IBC/data/https://project.inria.fr/IBC/data/https://project.inria.fr/IBC/data/https://project.inria.fr/IBC/data/https://project.inria.fr/IBC/data/https://project.inria.fr/IBC/data/https://project.inria.fr/IBC/data/https://project.inria.fr/IBC/data/https://project.inria.fr/IBC/data/
12/13

30. Thanks!
Bertrand Thirion
The IBC
volunteers!
13/13

31. Thanks!
Bertrand Thirion
The IBC
volunteers!
Poster #1937
13/13