High-precision magnetoencephalography for reconstructing amygdalar and hippocampal oscillations during prediction of safety and threat.

ABSTRACT: Learning to associate neutral with aversive events in rodents is thought to depend on hippocampal and amygdala oscillations. In humans, oscillations underlying aversive learning are not well characterised, largely due to the technical difficulty of recording from these two structures. Here, we used high-precision magnetoencephalography (MEG) during human discriminant delay threat conditioning. We constructed generative anatomical models relating neural activity with recorded magnetic fields at the single-participant level, including the neocortex with or without the possibility of sources originating in the hippocampal and amygdalar structures. Models including neural activity in amygdala and hippocampus explained MEG data during threat conditioning better than exclusively neocortical mode

SUBMITTER: Tzovara A 

PROVIDER: S-EPMC6772181 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature