Deco, GustavoKringelbach, Morten L.Arnatkeviciute, AurinaOldham, StuartSabaroedin, KristinaRogasch, Nigel C.Aquino, KevinFornito, Alex2022-06-162022-06-162021Deco G, Kringelbach ML, Arnatkeviciute A, Oldham S,Sabaroedin K, Rogasch NC, Aquino KM, Fornito A. Dynamical consequences of regional heterogeneity in the brain’s transcriptional landscape. Sci Adv. 2021;7(29):eabf4752. DOI: 10.1126/sciadv.abf47522375-2548http://hdl.handle.net/10230/53502Brain regions vary in their molecular and cellular composition, but how this heterogeneity shapes neuronal dynamics is unclear. Here, we investigate the dynamical consequences of regional heterogeneity using a biophysical model of whole-brain functional magnetic resonance imaging (MRI) dynamics in humans. We show that models in which transcriptional variations in excitatory and inhibitory receptor (E:I) gene expression constrain regional heterogeneity more accurately reproduce the spatiotemporal structure of empirical functional connectivity estimates than do models constrained by global gene expression profiles or MRI-derived estimates of myeloarchitecture. We further show that regional transcriptional heterogeneity is essential for yielding both ignition-like dynamics, which are thought to support conscious processing, and a wide variance of regional-activity time scales, which supports a broad dynamical range. We thus identify a key role for E:I heterogeneity in generating complex neuronal dynamics and demonstrate the viability of using transcriptomic data to constrain models of large-scale brain function.application/pdfeng© 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).info:eu-repo/semantics/articlehttp://doi.org/10.1126/sciadv.abf4752info:eu-repo/semantics/openAccess