To elucidate the neurobiological basis of cognition, which is dynamic and evolving, various methods have emerged to characterise time-varying functional connectivity (FC) and track the temporal evolution of functional networks. However, given a selection of regions, many of these methods are based on modelling all possible pairwise connections, diluting a potential focus of interest on individual connections. This is the case with the hidden Markov model (HMM), which relies on region-by-region covariance matrices across all pairs of selected regions, assuming that fluctuations in FC occur across all investigated connections; that is, that all connections are locked to the same temporal pattern. To address this limitation, we introduce Targeted Time-Varying FC (T-TVFC), a variant of the HMM that explicitly models the temporal fluctuations between two sets of regions in a targeted fashion, rather than across the entire connectivity matrix. In this study, we apply T-TVFC to both simulated...
| Authors | Alonso, S; Cocchi, L; Hearne, LJ; Shine, JM; Vidaurre, D |
|---|---|
| Journal | HUMAN BRAIN MAPPING |
| Pages | e70157 |
| Volume | 46 |
| Date | 1/03/2025 |
| Grant ID | NNF19OC-0054895 | Novo Nordisk Foundation Emerging Investigator Fellowship; 1156536 | National Health and Medical Research Council; 1099082 | National Health and Medical Research Council; 1138711 | National Health and Medical Research Council; University of Sydney Robinson Fellowship; 215573/Z/19/Z | Wellcome Trust [WT_] (United Kingdom); Wellcome Trust [WT_] (United Kingdom); ERC-StG-2019-850404 | European Research Council [ERC_] (International) |
| Funding Body | |
| URL | http://www.ncbi.nlm.nih.gov/pubmed/?term=10.1002/hbm.70157 |