PT  - JOURNAL ARTICLE
AU  - Mariam Aly
AU  - Janice Chen
AU  - Nicholas B. Turk-Browne
AU  - Uri Hasson
TI  - Learning naturalistic temporal structure in the posterior medial network
AID  - 10.1101/196287
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 196287
4099  - http://biorxiv.org/content/early/2017/10/01/196287.short
4100  - http://biorxiv.org/content/early/2017/10/01/196287.full
AB  - The posterior medial network is at the apex of a temporal integration hierarchy in the brain, integrating information over many seconds of viewing intact, but not scrambled, movies. This has been interpreted as an effect of temporal structure. Such structure in movies depends on pre-existing event schemas, but temporal structure can also arise de novo from learning. Here we examined the relative role of schema-consistent temporal structure and arbitrary but learned temporal structure on the human posterior medial network. We tested whether, with repeated viewing, the network becomes engaged by scrambled movies with temporal structure. Replicating prior studies, posterior medial regions were immediately locked to stimulus structure upon exposure to intact but not scrambled movies. However, for temporally structured scrambled movies, functional coupling within the network increased across stimulus repetitions, rising to the level of intact movies. Thus, temporal structure is a key determinant of network dynamics and function.Impact statement Aly et al., show that the posterior medial network is engaged by temporally structured events, whether the temporal structure comes from world knowledge or is learned anew in recent experience.