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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2019
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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 |
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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 |
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