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When makes you unique: temporality of the human brain fingerprint

Dimitri Van De Ville, Younes Farouj, Maria Giulia Preti, Raphaël Liégeois, Enrico Amico
doi: https://doi.org/10.1101/2021.03.24.436733
Dimitri Van De Ville
1Institute of Bioengineering, Center for Neuroprosthetics, EPFL, Geneva, Switzerland
2Department of Radiology and Medical Informatics, University of Geneva (UNIGE), Geneva, Switzerland
3CIBM Center for Biomedical Imaging, Switzerland
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Younes Farouj
1Institute of Bioengineering, Center for Neuroprosthetics, EPFL, Geneva, Switzerland
2Department of Radiology and Medical Informatics, University of Geneva (UNIGE), Geneva, Switzerland
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Maria Giulia Preti
1Institute of Bioengineering, Center for Neuroprosthetics, EPFL, Geneva, Switzerland
2Department of Radiology and Medical Informatics, University of Geneva (UNIGE), Geneva, Switzerland
3CIBM Center for Biomedical Imaging, Switzerland
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Raphaël Liégeois
1Institute of Bioengineering, Center for Neuroprosthetics, EPFL, Geneva, Switzerland
2Department of Radiology and Medical Informatics, University of Geneva (UNIGE), Geneva, Switzerland
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Enrico Amico
1Institute of Bioengineering, Center for Neuroprosthetics, EPFL, Geneva, Switzerland
2Department of Radiology and Medical Informatics, University of Geneva (UNIGE), Geneva, Switzerland
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  • For correspondence: enrico.amico@epfl.ch
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Abstract

The extraction of “fingerprints” from human brain connectivity data has become a new frontier in neuroscience. However, the time scales of human brain identifiability have not been addressed yet. In other words, what temporal features make our brains more “identifiable”? We here explore the dynamics of brain fingerprints (or brainprints) along two complementary axes: 1) what is the optimal time scale at which brainprints integrate sufficient information, 2) when best identification happens. Using dynamic identifiability, we show that the best identification emerges at longer time scales (~300s); however, short transient “bursts of identifiability” persist even when looking at shorter functional interactions. We find that these bursts of identifiability might be strongly associated with neuronal activity. Furthermore, we report evidence that different parts of connectome fingerprints relate to different time scales: i.e., more visual-somatomotor at short temporal windows, more frontoparietal-DMN driven by increasing temporal windows. Finally, using a meta-analytic approach, we show that there is a broad spectrum of associations between brainprints and behavior. At faster time scales, human brain fingerprints are linked to multisensory stimulation, eye movements, affective processing, visuospatial attention. At slower time scales instead, we find higher-cognitive functions, such as language and verbal semantics, awareness, declarative and working memory, social cognition. We hope that this first investigation of the temporality of the human brain fingerprint will pave the way towards a better understanding of what and when makes our brains unique.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted March 24, 2021.
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When makes you unique: temporality of the human brain fingerprint
Dimitri Van De Ville, Younes Farouj, Maria Giulia Preti, Raphaël Liégeois, Enrico Amico
bioRxiv 2021.03.24.436733; doi: https://doi.org/10.1101/2021.03.24.436733
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When makes you unique: temporality of the human brain fingerprint
Dimitri Van De Ville, Younes Farouj, Maria Giulia Preti, Raphaël Liégeois, Enrico Amico
bioRxiv 2021.03.24.436733; doi: https://doi.org/10.1101/2021.03.24.436733

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