Cargando…
Impaired reward prediction error encoding and striatal-midbrain connectivity in depression
Anhedonia (hyposensitivity to rewards) and negative bias (hypersensitivity to punishments) are core features of major depressive disorder (MDD), which could stem from abnormal reinforcement learning. Emerging evidence highlights blunted reward learning and reward prediction error (RPE) signaling in...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5983542/ https://www.ncbi.nlm.nih.gov/pubmed/29540863 http://dx.doi.org/10.1038/s41386-018-0032-x |
_version_ | 1783328442514669568 |
---|---|
author | Kumar, Poornima Goer, Franziska Murray, Laura Dillon, Daniel G. Beltzer, Miranda L. Cohen, Andrew L. Brooks, Nancy H. Pizzagalli, Diego A. |
author_facet | Kumar, Poornima Goer, Franziska Murray, Laura Dillon, Daniel G. Beltzer, Miranda L. Cohen, Andrew L. Brooks, Nancy H. Pizzagalli, Diego A. |
author_sort | Kumar, Poornima |
collection | PubMed |
description | Anhedonia (hyposensitivity to rewards) and negative bias (hypersensitivity to punishments) are core features of major depressive disorder (MDD), which could stem from abnormal reinforcement learning. Emerging evidence highlights blunted reward learning and reward prediction error (RPE) signaling in the striatum in MDD, although inconsistencies exist. Preclinical studies have clarified that ventral tegmental area (VTA) neurons encode RPE and habenular neurons encode punishment prediction error (PPE), which are then transmitted to the striatum and cortex to guide goal-directed behavior. However, few studies have probed striatal activation, and functional connectivity between VTA-striatum and VTA-habenula during reward and punishment learning respectively, in unmedicated MDD. To fill this gap, we acquired fMRI data from 25 unmedicated MDD and 26 healthy individuals during a monetary instrumental learning task and utilized a computational modeling approach to characterize underlying neural correlates of RPE and PPE. Relative to controls, MDD individuals showed impaired reward learning, blunted RPE signal in the striatum and overall reduced VTA-striatal connectivity to feedback. Critically, striatal RPE signal was increasingly blunted with more major depressive episodes (MDEs). No group differences emerged in PPE signals in the habenula and VTA or in connectivity between these regions. However, PPE signals in the habenula correlated positively with number of MDEs. These results highlight impaired reward learning, disrupted RPE signaling in the striatum (particularly among individuals with more lifetime MDEs) as well as reduced VTA-striatal connectivity in MDD. Collectively, these findings highlight reward-related learning deficits in MDD and their underlying pathophysiology. |
format | Online Article Text |
id | pubmed-5983542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-59835422018-06-20 Impaired reward prediction error encoding and striatal-midbrain connectivity in depression Kumar, Poornima Goer, Franziska Murray, Laura Dillon, Daniel G. Beltzer, Miranda L. Cohen, Andrew L. Brooks, Nancy H. Pizzagalli, Diego A. Neuropsychopharmacology Article Anhedonia (hyposensitivity to rewards) and negative bias (hypersensitivity to punishments) are core features of major depressive disorder (MDD), which could stem from abnormal reinforcement learning. Emerging evidence highlights blunted reward learning and reward prediction error (RPE) signaling in the striatum in MDD, although inconsistencies exist. Preclinical studies have clarified that ventral tegmental area (VTA) neurons encode RPE and habenular neurons encode punishment prediction error (PPE), which are then transmitted to the striatum and cortex to guide goal-directed behavior. However, few studies have probed striatal activation, and functional connectivity between VTA-striatum and VTA-habenula during reward and punishment learning respectively, in unmedicated MDD. To fill this gap, we acquired fMRI data from 25 unmedicated MDD and 26 healthy individuals during a monetary instrumental learning task and utilized a computational modeling approach to characterize underlying neural correlates of RPE and PPE. Relative to controls, MDD individuals showed impaired reward learning, blunted RPE signal in the striatum and overall reduced VTA-striatal connectivity to feedback. Critically, striatal RPE signal was increasingly blunted with more major depressive episodes (MDEs). No group differences emerged in PPE signals in the habenula and VTA or in connectivity between these regions. However, PPE signals in the habenula correlated positively with number of MDEs. These results highlight impaired reward learning, disrupted RPE signaling in the striatum (particularly among individuals with more lifetime MDEs) as well as reduced VTA-striatal connectivity in MDD. Collectively, these findings highlight reward-related learning deficits in MDD and their underlying pathophysiology. Springer International Publishing 2018-02-26 2018-06 /pmc/articles/PMC5983542/ /pubmed/29540863 http://dx.doi.org/10.1038/s41386-018-0032-x Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kumar, Poornima Goer, Franziska Murray, Laura Dillon, Daniel G. Beltzer, Miranda L. Cohen, Andrew L. Brooks, Nancy H. Pizzagalli, Diego A. Impaired reward prediction error encoding and striatal-midbrain connectivity in depression |
title | Impaired reward prediction error encoding and striatal-midbrain connectivity in depression |
title_full | Impaired reward prediction error encoding and striatal-midbrain connectivity in depression |
title_fullStr | Impaired reward prediction error encoding and striatal-midbrain connectivity in depression |
title_full_unstemmed | Impaired reward prediction error encoding and striatal-midbrain connectivity in depression |
title_short | Impaired reward prediction error encoding and striatal-midbrain connectivity in depression |
title_sort | impaired reward prediction error encoding and striatal-midbrain connectivity in depression |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5983542/ https://www.ncbi.nlm.nih.gov/pubmed/29540863 http://dx.doi.org/10.1038/s41386-018-0032-x |
work_keys_str_mv | AT kumarpoornima impairedrewardpredictionerrorencodingandstriatalmidbrainconnectivityindepression AT goerfranziska impairedrewardpredictionerrorencodingandstriatalmidbrainconnectivityindepression AT murraylaura impairedrewardpredictionerrorencodingandstriatalmidbrainconnectivityindepression AT dillondanielg impairedrewardpredictionerrorencodingandstriatalmidbrainconnectivityindepression AT beltzermirandal impairedrewardpredictionerrorencodingandstriatalmidbrainconnectivityindepression AT cohenandrewl impairedrewardpredictionerrorencodingandstriatalmidbrainconnectivityindepression AT brooksnancyh impairedrewardpredictionerrorencodingandstriatalmidbrainconnectivityindepression AT pizzagallidiegoa impairedrewardpredictionerrorencodingandstriatalmidbrainconnectivityindepression |