TY - JOUR
T1 - Multimodal multilayer network centrality relates to executive functioning
AU - Breedt, Lucas C.
AU - Santos, Fernando A. N.
AU - Hillebrand, Arjan
AU - Reneman, Liesbeth
AU - Rootselaar, Anne-Fleur van
AU - Schoonheim, Menno M.
AU - Stam, Cornelis J.
AU - Ticheler, Anouk
AU - Tijms, Betty M.
AU - Veltman, Dick J.
AU - Vriend, Chris
AU - Wagenmakers, Margot J.
AU - van Wingen, Guido A.
AU - Geurts, Jeroen J. G.
AU - Schrantee, Anouk
AU - Douw, Linda
N1 - Funding Information: Linda Douw, Amsterdam Neuroscience Alliance Grant. Linda Douw, Netherlands Organization for Scientific Research (NWO) Vidi grant, Award ID: 198.015. Funding Information: The authors would like to thank the Amsterdam Neuroscience research institute for supporting this study. We would also like to thank Hersenonderzoek.nl, a Dutch online registry that facilitates participant recruitment for neuroscience studies (www.hersenonderzoek.nl). Hersenonderzoek.nl is funded by ZonMw-Memorabel (project no. 73305095003), a project in the context of the Dutch Deltaplan Dementie, Gieskes-Strijbis Foundation, the Alzheimer’s Society in the Netherlands and Brain Foundation Netherlands. We thank the laboratory technicians of the Amsterdam UMC, Department of Clinical Neurophysiology and MEG Center, as well as the scan assistants of the Spinoza Centre for Neuroimaging, for their help with the data acquisition. Finally, we thank all participants for their participation.Linda Douw, Amsterdam Neuroscience Alliance Grant. Linda Douw, Netherlands Organization for Scientific Research (NWO) Vidi grant, Award ID: 198.015. Funding Information: The authors would like to thank the Amsterdam Neuroscience research institute for supporting this study. We would also like to thank Hersenonderzoek.nl, a Dutch online registry that facilitates participant recruitment for neuroscience studies (www.hersenonderzoek.nl). Hersenonderzoek.nl is funded by ZonMw-Memorabel (project no. 73305095003), a project in the context of the Dutch Deltaplan Dementie, Gieskes-Strijbis Foundation, the Alzheimer’s Publisher Copyright: © 2022 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - Executive functioning (EF) is a higher order cognitive process that is thought to depend on a network organization facilitating integration across subnetworks, in the context of which the central role of the fronto-parietal network (FPN) has been described across imaging and neurophysiological modalities. However, the potentially complementary unimodal information on the relevance of the FPN for EF has not yet been integrated. We employ a multilayer framework to allow for integration of different modalities into one ‘network of networks.’ We used diffusion MRI, resting-state functional MRI, MEG, and neuropsychological data obtained from 33 healthy adults to construct modality-specific single-layer networks as well as a single multilayer network per participant. We computed single-layer and multilayer eigenvector centrality of the FPN as a measure of integration in this network and examined their associations with EF. We found that higher multilayer FPN centrality, but not single-layer FPN centrality, was related to better EF. We did not find a statistically significant change in explained variance in EF when using the multilayer approach as compared to the single-layer measures. Overall, our results show the importance of FPN integration for EF and underline the promise of the multilayer framework toward better understanding cognitive functioning.
AB - Executive functioning (EF) is a higher order cognitive process that is thought to depend on a network organization facilitating integration across subnetworks, in the context of which the central role of the fronto-parietal network (FPN) has been described across imaging and neurophysiological modalities. However, the potentially complementary unimodal information on the relevance of the FPN for EF has not yet been integrated. We employ a multilayer framework to allow for integration of different modalities into one ‘network of networks.’ We used diffusion MRI, resting-state functional MRI, MEG, and neuropsychological data obtained from 33 healthy adults to construct modality-specific single-layer networks as well as a single multilayer network per participant. We computed single-layer and multilayer eigenvector centrality of the FPN as a measure of integration in this network and examined their associations with EF. We found that higher multilayer FPN centrality, but not single-layer FPN centrality, was related to better EF. We did not find a statistically significant change in explained variance in EF when using the multilayer approach as compared to the single-layer measures. Overall, our results show the importance of FPN integration for EF and underline the promise of the multilayer framework toward better understanding cognitive functioning.
KW - Cognition
KW - Functional connectivity
KW - Graph theory
KW - Minimum spanning tree
KW - Multiplex networks
KW - Structural connectivity
UR - http://www.scopus.com/inward/record.url?scp=85148487586&partnerID=8YFLogxK
U2 - https://doi.org/10.1162/netn_a_00284
DO - https://doi.org/10.1162/netn_a_00284
M3 - Article
C2 - 37339322
SN - 2472-1751
VL - 7
SP - 299
EP - 321
JO - Network Neuroscience
JF - Network Neuroscience
IS - 1
ER -