Literature DB >> 26133661

Failure of hippocampal deactivation during loss events in treatment-resistant depression.

Blair A Johnston1, Serenella Tolomeo1, Victoria Gradin2, David Christmas3, Keith Matthews4, J Douglas Steele5.   

Abstract

Major depressive disorder is characterized by anhedonia, cognitive biases, ruminations, hopelessness and increased anxiety. Blunted responses to rewards have been reported in a number of recent neuroimaging and behavioural studies of major depressive disorder. In contrast, neural responses to aversive events remain an under-studied area. While selective serotonergic reuptake inhibitors are often effective in treating major depressive disorder, their mechanism of action remains unclear. Following a series of animal model investigations of depressive illness and serotonergic function, Deakin and Graeff predicted that brain activity in patients with major depressive disorder is associated with an overactive dorsal raphe nucleus with overactive projections to the amygdala, periaqueductal grey and striatum, and an underactive median raphe nucleus with underactive projections to the hippocampus. Here we describe an instrumental loss-avoidance and win-gain reinforcement learning functional magnetic resonance imaging study with 40 patients with highly treatment-resistant major depressive disorder and never-depressed controls. The dorsal raphe nucleus/ periaqueductal grey region of the midbrain and hippocampus were found to be overactive in major depressive disorder during unsuccessful loss-avoidance although the median raphe nucleus was not found to be underactive. Hippocampal overactivity was due to a failure to deactivate during loss events in comparison to controls, and hippocampal over-activity correlated with depression severity, self-report 'hopelessness' and anxiety. Deakin and Graeff argued that the median raphe nucleus normally acts to inhibit consolidation of aversive memories via the hippocampus and this system is underactive in major depressive disorder, facilitating the development of ruminations, while the dorsal raphe nucleus system is engaged by distal cues predictive of threats and is overactive in major depressive disorder. During win events the striatum was underactive in major depressive disorder. We tested individual patient consistency of these findings using within-study replication. Abnormal hippocampal activity correctly predicted individual patient diagnostic status in 97% (sensitivity 95%, specificity 100%) of subjects, and abnormal striatal activity predicted diagnostic status in 84% (sensitivity 79%, specificity 89%) of subjects. We conclude that the neuroimaging findings were largely consistent with Deaken and Graeff's predictions, abnormally increased hippocampal activity during loss events was an especially consistent abnormality, and brainstem serotonergic nuclei merit further study in depressive illness.
© The Author (2015). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Deakin and Graeff; hippocampus; loss events; treatment-resistant depression

Mesh:

Substances:

Year:  2015        PMID: 26133661     DOI: 10.1093/brain/awv177

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  18 in total

Review 1.  Reward Processing in Depression: A Conceptual and Meta-Analytic Review Across fMRI and EEG Studies.

Authors:  Hanna Keren; Georgia O'Callaghan; Pablo Vidal-Ribas; George A Buzzell; Melissa A Brotman; Ellen Leibenluft; Pedro M Pan; Liana Meffert; Ariela Kaiser; Selina Wolke; Daniel S Pine; Argyris Stringaris
Journal:  Am J Psychiatry       Date:  2018-06-20       Impact factor: 18.112

2.  Differential reinforcement learning responses to positive and negative information in unmedicated individuals with depression.

Authors:  Jenna M Reinen; Alexis E Whitton; Diego A Pizzagalli; Mark Slifstein; Anissa Abi-Dargham; Patrick J McGrath; Dan V Iosifescu; Franklin R Schneier
Journal:  Eur Neuropsychopharmacol       Date:  2021-09-10       Impact factor: 4.600

Review 3.  Mapping anhedonia-specific dysfunction in a transdiagnostic approach: an ALE meta-analysis.

Authors:  Bei Zhang; Pan Lin; Huqing Shi; Dost Öngür; Randy P Auerbach; Xiaosheng Wang; Shuqiao Yao; Xiang Wang
Journal:  Brain Imaging Behav       Date:  2016-09       Impact factor: 3.978

Review 4.  Modeling Trait Anxiety: From Computational Processes to Personality.

Authors:  James G Raymond; J Douglas Steele; Peggy Seriès
Journal:  Front Psychiatry       Date:  2017-01-23       Impact factor: 4.157

5.  Prediction Analysis for Transition to Schizophrenia in Individuals at Clinical High Risk for Psychosis: The Relationship of DAO, DAOA, and NRG1 Variants with Negative Symptoms and Cognitive Deficits.

Authors:  Vinita Jagannath; Anastasia Theodoridou; Miriam Gerstenberg; Maurizia Franscini; Karsten Heekeren; Christoph U Correll; Wulf Rössler; Edna Grünblatt; Susanne Walitza
Journal:  Front Psychiatry       Date:  2017-12-20       Impact factor: 4.157

Review 6.  Machine learning in major depression: From classification to treatment outcome prediction.

Authors:  Shuang Gao; Vince D Calhoun; Jing Sui
Journal:  CNS Neurosci Ther       Date:  2018-08-23       Impact factor: 5.243

7.  Towards a brain-based predictome of mental illness.

Authors:  Barnaly Rashid; Vince Calhoun
Journal:  Hum Brain Mapp       Date:  2020-05-06       Impact factor: 5.038

Review 8.  Understanding Suicidal Behavior: The Contribution of Recent Resting-State fMRI Techniques.

Authors:  Gianluca Serafini; Matteo Pardini; Maurizio Pompili; Paolo Girardi; Mario Amore
Journal:  Front Psychiatry       Date:  2016-04-19       Impact factor: 4.157

9.  MAP Training My Brain™: Meditation Plus Aerobic Exercise Lessens Trauma of Sexual Violence More Than Either Activity Alone.

Authors:  Tracey J Shors; Han Y M Chang; Emma M Millon
Journal:  Front Neurosci       Date:  2018-04-23       Impact factor: 4.677

Review 10.  In vivo Brainstem Imaging in Alzheimer's Disease: Potential for Biomarker Development.

Authors:  David J Braun; Linda J Van Eldik
Journal:  Front Aging Neurosci       Date:  2018-09-11       Impact factor: 5.750

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.