TY - JOUR
T1 - When makes you unique
T2 - Temporality of the human brain fingerprint
AU - Van De Ville, Dimitri
AU - Farouj, Younes
AU - Preti, Maria Giulia
AU - Liégeois, Raphaël
AU - Amico, Enrico
PY - 2021/10/15
Y1 - 2021/10/15
N2 - The extraction of "fingerprints" from human brain connectivity data has become a new frontier in neuroscience. However, the time scales of human brain identifiability are still largely unexplored. We here investigate the dynamics of brain fingerprints along two complementary axes: (i) What is the optimal time scale at which brain fingerprints integrate information and (ii) when best identification happens. Using dynamic identifiability, we show that the best identification emerges at longer time scales; however, short transient "bursts of identifiability," associated with neuronal activity, persist even when looking at shorter functional interactions. Furthermore, we report evidence that different parts of connectome fingerprints relate to different time scales, i.e., more visual-somatomotor at short temporal windows and more frontoparietal-DMN driven at increasing temporal windows. Last, different cognitive functions appear to be meta-analytically implicated in dynamic fingerprints across time scales. We hope that this investigation will advance our understanding of what makes our brains unique.
AB - The extraction of "fingerprints" from human brain connectivity data has become a new frontier in neuroscience. However, the time scales of human brain identifiability are still largely unexplored. We here investigate the dynamics of brain fingerprints along two complementary axes: (i) What is the optimal time scale at which brain fingerprints integrate information and (ii) when best identification happens. Using dynamic identifiability, we show that the best identification emerges at longer time scales; however, short transient "bursts of identifiability," associated with neuronal activity, persist even when looking at shorter functional interactions. Furthermore, we report evidence that different parts of connectome fingerprints relate to different time scales, i.e., more visual-somatomotor at short temporal windows and more frontoparietal-DMN driven at increasing temporal windows. Last, different cognitive functions appear to be meta-analytically implicated in dynamic fingerprints across time scales. We hope that this investigation will advance our understanding of what makes our brains unique.
UR - http://www.scopus.com/inward/record.url?scp=85117253534&partnerID=8YFLogxK
U2 - 10.1126/sciadv.abj0751
DO - 10.1126/sciadv.abj0751
M3 - Article
C2 - 34652937
AN - SCOPUS:85117253534
SN - 2375-2548
VL - 7
JO - Science Advances
JF - Science Advances
IS - 42
M1 - eabj0751
ER -