Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Tzovara, Athina, Meyer, Sofie S., Bonaiuto, James J., Abivardi, Aslan, Dolan, Raymond J., Barnes, Gareth R., Bach, Dominik R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6772181/
https://www.ncbi.nlm.nih.gov/pubmed/31257708
http://dx.doi.org/10.1002/hbm.24689
_version_ 1783455855421685760
author Tzovara, Athina
Meyer, Sofie S.
Bonaiuto, James J.
Abivardi, Aslan
Dolan, Raymond J.
Barnes, Gareth R.
Bach, Dominik R.
author_facet Tzovara, Athina
Meyer, Sofie S.
Bonaiuto, James J.
Abivardi, Aslan
Dolan, Raymond J.
Barnes, Gareth R.
Bach, Dominik R.
author_sort Tzovara, Athina
collection PubMed
description 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 models. We found that in both amygdala and hippocampus, theta oscillations during anticipation of an aversive event had lower power compared to safety, both during retrieval and extinction of aversive memories. At the same time, theta synchronisation between hippocampus and amygdala increased over repeated retrieval of aversive predictions, but not during safety. Our results suggest that high‐precision MEG is sensitive to neural activity of the human amygdala and hippocampus during threat conditioning and shed light on the oscillation‐mediated mechanisms underpinning retrieval and extinction of fear memories in humans.
format Online
Article
Text
id pubmed-6772181
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher John Wiley & Sons, Inc.
record_format MEDLINE/PubMed
spelling pubmed-67721812019-10-07 High‐precision magnetoencephalography for reconstructing amygdalar and hippocampal oscillations during prediction of safety and threat Tzovara, Athina Meyer, Sofie S. Bonaiuto, James J. Abivardi, Aslan Dolan, Raymond J. Barnes, Gareth R. Bach, Dominik R. Hum Brain Mapp Research Articles 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 models. We found that in both amygdala and hippocampus, theta oscillations during anticipation of an aversive event had lower power compared to safety, both during retrieval and extinction of aversive memories. At the same time, theta synchronisation between hippocampus and amygdala increased over repeated retrieval of aversive predictions, but not during safety. Our results suggest that high‐precision MEG is sensitive to neural activity of the human amygdala and hippocampus during threat conditioning and shed light on the oscillation‐mediated mechanisms underpinning retrieval and extinction of fear memories in humans. John Wiley & Sons, Inc. 2019-06-30 /pmc/articles/PMC6772181/ /pubmed/31257708 http://dx.doi.org/10.1002/hbm.24689 Text en © 2019 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Tzovara, Athina
Meyer, Sofie S.
Bonaiuto, James J.
Abivardi, Aslan
Dolan, Raymond J.
Barnes, Gareth R.
Bach, Dominik R.
High‐precision magnetoencephalography for reconstructing amygdalar and hippocampal oscillations during prediction of safety and threat
title High‐precision magnetoencephalography for reconstructing amygdalar and hippocampal oscillations during prediction of safety and threat
title_full High‐precision magnetoencephalography for reconstructing amygdalar and hippocampal oscillations during prediction of safety and threat
title_fullStr High‐precision magnetoencephalography for reconstructing amygdalar and hippocampal oscillations during prediction of safety and threat
title_full_unstemmed High‐precision magnetoencephalography for reconstructing amygdalar and hippocampal oscillations during prediction of safety and threat
title_short High‐precision magnetoencephalography for reconstructing amygdalar and hippocampal oscillations during prediction of safety and threat
title_sort high‐precision magnetoencephalography for reconstructing amygdalar and hippocampal oscillations during prediction of safety and threat
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6772181/
https://www.ncbi.nlm.nih.gov/pubmed/31257708
http://dx.doi.org/10.1002/hbm.24689
work_keys_str_mv AT tzovaraathina highprecisionmagnetoencephalographyforreconstructingamygdalarandhippocampaloscillationsduringpredictionofsafetyandthreat
AT meyersofies highprecisionmagnetoencephalographyforreconstructingamygdalarandhippocampaloscillationsduringpredictionofsafetyandthreat
AT bonaiutojamesj highprecisionmagnetoencephalographyforreconstructingamygdalarandhippocampaloscillationsduringpredictionofsafetyandthreat
AT abivardiaslan highprecisionmagnetoencephalographyforreconstructingamygdalarandhippocampaloscillationsduringpredictionofsafetyandthreat
AT dolanraymondj highprecisionmagnetoencephalographyforreconstructingamygdalarandhippocampaloscillationsduringpredictionofsafetyandthreat
AT barnesgarethr highprecisionmagnetoencephalographyforreconstructingamygdalarandhippocampaloscillationsduringpredictionofsafetyandthreat
AT bachdominikr highprecisionmagnetoencephalographyforreconstructingamygdalarandhippocampaloscillationsduringpredictionofsafetyandthreat