title: Transient neuronal coactivations embedded in globally propagating waves underlie resting-state functional connectivity.
abstract: Resting-state functional connectivity (FC), which measures the correlation of spontaneous hemodynamic signals (HemoS) between brain areas, is widely used to study brain networks noninvasively. It is commonly assumed that spatial patterns of HemoS-based FC (Hemo-FC) reflect large-scale dynamics of underlying neuronal activity. To date, studies of spontaneous neuronal activity cataloged heterogeneous types of events ranging from waves of activity spanning the entire neocortex to flash-like activations of a set of anatomically connected cortical areas. However, it remains unclear how these various types of large-scale dynamics are interrelated. More importantly, whether each type of large-scale dynamics contributes to Hemo-FC has not been explored. Here, we addressed these questions by simultaneously monitoring neuronal calcium signals (CaS) and HemoS in the entire neocortex of mice at high spatiotemporal resolution. We found a significant relationship between two seemingly different types of large-scale spontaneous neuronal activity-namely, global waves propagating across the neocortex and transient coactivations among cortical areas sharing high FC. Different sets of cortical areas, sharing high FC within each set, were coactivated at different timings of the propagating global waves, suggesting that spatial information of cortical network characterized by FC was embedded in the phase of the global waves. Furthermore, we confirmed that such transient coactivations in CaS were indeed converted into spatially similar coactivations in HemoS and were necessary to sustain the spatial structure of Hemo-FC. These results explain how global waves of spontaneous neuronal activity propagating across large-scale cortical network contribute to Hemo-FC in the resting state.
authors.affiliation: Department of Molecular Physiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; Department of Physiology, The University of Tokyo School of Medicine, Tokyo 113-0033, Japan; tematsui@m.u-tokyo.ac.jp kohki@m.u-tokyo.ac.jp.
authors.forename: Teppei
authors.initials: T
authors.lastname: Matsui
authors.affiliation: Department of Molecular Physiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; Department of Physiology, The University of Tokyo School of Medicine, Tokyo 113-0033, Japan;
authors.forename: Tomonari
authors.initials: T
authors.lastname: Murakami
authors.affiliation: Department of Molecular Physiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; Department of Physiology, The University of Tokyo School of Medicine, Tokyo 113-0033, Japan; Core Research for Evolutional Science and Technology (CREST), Japan Science and Technology Agency, Tokyo 102-0083, Japan tematsui@m.u-tokyo.ac.jp kohki@m.u-tokyo.ac.jp.
authors.forename: Kenichi
authors.initials: K
authors.lastname: Ohki
mesh_terms: D000818:Animals; D001921:Brain / Q000033:anatomy & histology / Q000098:blood supply / Q000502:physiology*; D001931:Brain Mapping; D020013:Calcium Signaling; D006439:Hemodynamics; D006801:Humans; D008564:Membrane Potentials; D051379:Mice; D008822:Mice, Transgenic; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology; D009474:Neurons / Q000502:physiology*
keywords: Ca imaging; brain network; fMRI; optical imaging; spontaneous activity