@article{5470d8dd83b042a8b1497f6468322210,
title = "Fine-scale dynamics of functional connectivity in the face-processing network during movie watching",
abstract = "Mapping the human face-processing network is typically done during rest or using isolated, static face images, overlooking widespread cortical interactions obtained in response to naturalistic face dynamics and context. To determine how inter-subject functional correlation (ISFC) relates to face recognition scores, we measure cortical connectivity patterns in response to a dynamic movie in typical adults (N = 517). We find a positive correlation with recognition scores in edges connecting the occipital visual and anterior temporal regions and a negative correlation in edges connecting the attentional dorsal, frontal default, and occipital visual regions. We measure the inter-subject stimulus-evoked response at a single TR resolution and demonstrate that co-fluctuations in face-selective edges are related to activity in core face-selective regions and that the ISFC patterns peak during boundaries between movie segments rather than during the presence of faces. Our approach demonstrates how face processing is linked to fine-scale dynamics in attentional, memory, and perceptual neural circuitry.",
keywords = "CP: Neuroscience, dynamic connectivity, face perception, face recognition, functional connectivity, network analysis",
author = "Gidon Levakov and Olaf Sporns and Galia Avidan",
note = "Funding Information: Data collection and sharing for this project were provided by the Cambridge Center for Aging and Neuroscience (CamCAN). This work was supported by a US-Israel Binational Science Foundation (BSF) grant to G.A. and O.S. (grant number 2017242 ). O.S. was partially supported by National Science Foundation grant 2023985 . CamCAN funding was provided by the UK Biotechnology and Biological Sciences Research Council (grant number BB/H008217/1 ), together with support from the UK Medical Research Council and the University of Cambridge, UK . Funding Information: Data collection and sharing for this project were provided by the Cambridge Center for Aging and Neuroscience (CamCAN). This work was supported by a US-Israel Binational Science Foundation (BSF) grant to G.A. and O.S. (grant number 2017242). O.S. was partially supported by National Science Foundation grant 2023985. CamCAN funding was provided by the UK Biotechnology and Biological Sciences Research Council (grant number BB/H008217/1), together with support from the UK Medical Research Council and the University of Cambridge, UK. Conceptualization, G.L. O.S. and G.A.; methodology, G.L. O.S. and G.A.; investigation, G.L.; formal analysis, G.L.; software, G.L.; visualization, G.L.; writing – original draft, G.L. O.S. and G.A.; writing – review & editing, G.L. O.S. and G.A.; resources, O.S. and G.A.; supervision, O.S. and G.A.; funding acquisition, O.S. and G.A. The authors declare no competing interests. Publisher Copyright: {\textcopyright} 2023 The Author(s)",
year = "2023",
month = jun,
day = "27",
doi = "10.1016/j.celrep.2023.112585",
language = "English",
volume = "42",
journal = "Cell Reports",
issn = "2211-1247",
publisher = "Cell Press",
number = "6",
}