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Guo T, Feng Y, Zhou J, Meng L, Zhu X, Chen X, Xiao L, Feng L, Zhang L, Xiang YT, Zhao YJ, Wang G. Unveiling the Interplay Between Depressive Symptoms' Alleviation and Quality of Life Improvement in Major Depressive Disorder: A Network Analysis Based on Longitudinal Data. Neuropsychiatr Dis Treat 2024; 20:1641-1654. [PMID: 39228960 PMCID: PMC11370766 DOI: 10.2147/ndt.s462884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 08/21/2024] [Indexed: 09/05/2024] Open
Abstract
Background Understanding the dynamic relationship between depressive symptoms and quality of life (QOL) is essential in improving long-term outcomes for patients with Major Depressive Disorder (MDD). While previous studies often relied on cross-sectional data, there is a pressing need for stronger evidence based on longitudinal data to better inform the development of effective clinical interventions. By focusing on key depressive symptoms, such interventions have the potential to ultimately enhance QOL in individuals with MDD. Methods This multi-center prospective study, conducted between 2016 and 2020, enrolled outpatients and inpatients diagnosed with MDD across twelve psychiatric hospitals in China. Longitudinal data on Patient Health Questionnaire - 9 (PHQ-9) and Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form (Q-LES-Q-SF) was analyzed using an Extended Bayesian Information Criterion (EBIC) graphical least absolute shrinkage and selection operator (gLASSO) network model to explore the connections between depressive symptom changes and QOL changes. Flow network was applied to investigate relationships between individual symptom changes and overall QOL score change, as well as daily functional independence. Results This study included 818 participants with complete data after 8-week antidepressant treatment. Apart from the overlapping items from PHQ-9 and Q-LES-Q-SF, the three edges between "mood" (delta-QLES2) and "anhedonia" (delta-DEP1), between "physical health" (delta-QLES1) and "sleep problems" (delta-DEP3), and between "physical health" (delta-QLES1) and "sad mood" (delta-DEP2) were the most strong bridges between the cluster of depressive symptoms alleviation and the cluster of QOL change. "Anhedonia" (delta-DEP1), "sad mood" (delta-DEP2) and "loss of energy" (delta-DEP4) had the highest bridge strength between the alleviations of depressive symptoms and the total score change of Q-LES-Q-SF. Anhedonia had the greatest connection with participants' satisfaction with function in daily life. Conclusion This study highlighted the potential for developing highly effective interventions by targeting on central symptoms, thereby to ultimately improve QOL for patients with MDD.
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Affiliation(s)
- Tong Guo
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Yuan Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Jingjing Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Linghui Meng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Xuequan Zhu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Xu Chen
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Le Xiao
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Lei Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Ling Zhang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Yu-Tao Xiang
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, Faculty of Health Sciences, Institute of Translational Medicine, University of Macau, Taipa, Macao SAR, People’s Republic of China
- Centre for Cognitive and Brain Sciences, University of Macau, TaipaMacao SAR, People’s Republic of China
| | - Yan-Jie Zhao
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Gang Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
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Niu Z, Haley AP, Clark AL, Duarte A. Age exacerbates the negative effect of depression on executive functioning in racial and ethnic minorities. Brain Imaging Behav 2024:10.1007/s11682-024-00898-3. [PMID: 38850388 DOI: 10.1007/s11682-024-00898-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/15/2024] [Indexed: 06/10/2024]
Abstract
Age and depression may interact to produce a "double jeopardy" for cognitive impairment, and executive functioning, in cognitively unimpaired aging. Few studies have considered middle age or the ethnoracial diversity of subjects, despite evidence of more severe cognitive outcomes in historically minoritized people. In this pilot study, we investigated the impact of age on depression-related cognitive impairment and the underlying brain volumes in middle-aged non-Hispanic White adults (116), and Hispanic and Black adults (60), with a total number of 176 adults. The result shows a significant interaction between age and depression for executive functioning, specifically for middle-aged Hispanic and Black adults, but not non-Hispanic White adults. Prefrontal cortex volumes, which were reduced in the Black and Hispanic compared to the non-Hispanic White adults, partially mediated the relationship between depression level and executive functioning, across age and ethnoracial group. Collectively, these results suggest that the negative impact of depression on executive functioning and Prefrontal cortex volumes integrity may be exacerbated by age and that historically minoritized people may be particularly sensitive to this double jeopardy.
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Affiliation(s)
- Zhimei Niu
- Department of Psychology, University of Texas at Austin, 108 Dean Keeton Street, Austin, TX, 78712, USA.
| | - Andreana P Haley
- Department of Psychology, University of Texas at Austin, 108 Dean Keeton Street, Austin, TX, 78712, USA
| | - Alexandra L Clark
- Department of Psychology, University of Texas at Austin, 108 Dean Keeton Street, Austin, TX, 78712, USA
| | - Audrey Duarte
- Department of Psychology, University of Texas at Austin, 108 Dean Keeton Street, Austin, TX, 78712, USA
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Hall AF, Browning M, Huys QJM. The computational structure of consummatory anhedonia. Trends Cogn Sci 2024; 28:541-553. [PMID: 38423829 DOI: 10.1016/j.tics.2024.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 01/18/2024] [Accepted: 01/18/2024] [Indexed: 03/02/2024]
Abstract
Anhedonia is a reduction in enjoyment, motivation, or interest. It is common across mental health disorders and a harbinger of poor treatment outcomes. The enjoyment aspect, termed 'consummatory anhedonia', in particular poses fundamental questions about how the brain constructs rewards: what processes determine how intensely a reward is experienced? Here, we outline limitations of existing computational conceptualisations of consummatory anhedonia. We then suggest a richer reinforcement learning (RL) account of consummatory anhedonia with a reconceptualisation of subjective hedonic experience in terms of goal progress. This accounts qualitatively for the impact of stress, dysfunctional cognitions, and maladaptive beliefs on hedonic experience. The model also offers new views on the treatments for anhedonia.
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Affiliation(s)
- Anna F Hall
- Applied Computational Psychiatry Lab, Mental Health Neuroscience Department, Division of Psychiatry and Max Planck Centre for Computational Psychiatry and Ageing Research, Queen Square Institute of Neurology, University College London, London, UK
| | - Michael Browning
- Department of Psychiatry, University of Oxford, Oxford, UK; Oxford Health NHS Trust, Oxford, UK
| | - Quentin J M Huys
- Applied Computational Psychiatry Lab, Mental Health Neuroscience Department, Division of Psychiatry and Max Planck Centre for Computational Psychiatry and Ageing Research, Queen Square Institute of Neurology, University College London, London, UK.
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Kumar D, Corner S, Kim R, Meuret A. A randomized controlled trial of brief behavioral activation plus savoring for positive affect dysregulation in university students. Behav Res Ther 2024; 177:104525. [PMID: 38653177 DOI: 10.1016/j.brat.2024.104525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 03/19/2024] [Accepted: 03/22/2024] [Indexed: 04/25/2024]
Abstract
Rising rates of depression on university campuses accentuate the need for specific intervention. Interventions targeting disturbances in positive affect, in particular, remain sparse, yet such deficits interfere substantially with functioning and further exacerbate or maintain negative symptoms. The current study aimed to evaluate the impact of a virtual, two-session Behavioral Activation augmented with Savoring (BA + S) intervention compared to an Emotional Awareness (EA) control group in increasing positive affect. Sixty university students with low positive affect were randomized to BA + S or EA and completed 21 days of experience-sampling of positive affect. Weekly measures of positive and negative valence symptoms were assessed at baseline, sessions one and two, and at one-week follow-up. Through a prori analyses utilizing multilevel and multivariate multilevel models, our results demonstrate that daily positive affect measured via experience-sampling significantly improved in BA + S, whereas positive affect did not change for those receiving EA, though the interaction of condition and time was not significant. Furthermore, interactions in weekly variables were significant. Increases in positive valence symptoms (affect, anhedonia, etc.) were only reported for students receiving BA + S but not EA. Negative valence symptoms (affect, depression, general distress) improved in both conditions but with superior improvements in BA + S compared to EA. BA + S shows promise for a scalable and accessible intervention to university students with clinical levels of positive and negative affect. ClinicalTrials ID: NCT05234476.
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Affiliation(s)
- Divya Kumar
- Department of Psychology, Southern Methodist University, PO Box 750442, Dallas, TX, USA; McLean Hospital/Harvard Medical School, 115 Mill Street, Belmont, MA, 02478, USA.
| | - Sarah Corner
- Department of Psychology, Southern Methodist University, PO Box 750442, Dallas, TX, USA
| | - Richard Kim
- Department of Psychology, Southern Methodist University, PO Box 750442, Dallas, TX, USA
| | - Alicia Meuret
- Department of Psychology, Southern Methodist University, PO Box 750442, Dallas, TX, USA.
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Hitchcock PF, Frank MJ. From Tripping and Falling to Ruminating and Worrying: A Meta-Control Account of Repetitive Negative Thinking. Curr Opin Behav Sci 2024; 56:101356. [PMID: 39130377 PMCID: PMC11314892 DOI: 10.1016/j.cobeha.2024.101356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
Repetitive negative thinking (RNT) is a transdiagnostic construct that encompasses rumination and worry, yet what precisely is shared between rumination and worry is unclear. To clarify this, we develop a meta-control account of RNT. Meta-control refers to the reinforcement and control of mental behavior via similar computations as reinforce and control motor behavior. We propose rumination and worry are coarse terms for failure in meta-control, just as tripping and falling are coarse terms for failure in motor control. We delineate four meta-control stages and risk factors increasing the chance of failure at each, including open-ended thoughts (stage 1), individual differences influencing subgoal execution (stage 2) and switching (stage 3), and challenges inherent to learning adaptive mental behavior (stage 4). Distinguishing these stages therefore elucidates diverse processes that lead to the same behavior of excessive RNT. Our account also subsumes prominent clinical accounts of RNT into a computational cognitive neuroscience framework.
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Affiliation(s)
- Peter F. Hitchcock
- Department of Psychology, Emory University, Atlanta, GA
- Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI
| | - Michael J. Frank
- Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI
- Carney Institute for Brain Science, Brown University, Providence, RI
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Stiltner B, Fischer IC, Duek O, Polimanti R, Harpaz-Rotem I, Pietrzak RH. Functional correlates of a novel 8-factor model of PTSD in U.S. military veterans: Results from the National Health and Resilience in Veterans Study. J Psychiatr Res 2024; 171:69-74. [PMID: 38244335 DOI: 10.1016/j.jpsychires.2024.01.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 12/21/2023] [Accepted: 01/10/2024] [Indexed: 01/22/2024]
Abstract
Emerging evidence indicates that more nuanced models of posttraumatic stress disorder (PTSD) may better capture the condition's symptom structure. Recent theoretical and empirical work suggest that an 8-factor model of PTSD with separate internally- (e.g. flashbacks) and externally- (e.g. trauma-cue related physiological reactivity) generated intrusive symptom clusters may advance understanding of PTSD and its treatment and course. However, the model's functional and clinical significance still requires evaluation. To this end, we analyzed data from the National Health and Resilience in Veterans Study, a nationally representative sample of 3847 trauma-exposed U.S. military veterans. Multivariable regressions were performed to assess the relationship between the 8 PTSD symptom clusters, assessed using the PTSD Checklist for DSM-5, and clinical and functional measures. Results revealed that externally-generated intrusions were associated with higher odds of current depression and anxiety and worse mental, cognitive, and psychosocial functioning. Anhedonia (e.g., loss of interest in enjoyable activities) symptoms were associated with all the correlates tested, while negative affect (e.g., having strong negative feelings such as fear) symptoms were associated with all measures except depression. Avoidance symptoms were associated with lower odds of current anxiety while externalizing behavior symptoms were linked to higher odds of suicidal ideation. Anxious arousal symptoms were associated with lower odds of suicidal ideation but higher odds of PTSD-related impairment/distress, while dysphoric arousal symptoms were associated with higher odds of current depression, PTSD-related impairment/distress and worse mental and cognitive functioning. Results suggest that a more nuanced 8-factor model of PTSD symptoms may help inform understanding of the clinical and functional correlates of this multi-faceted disorder.
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Affiliation(s)
- Brendan Stiltner
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA
| | - Ian C Fischer
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Or Duek
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, VA Connecticut Healthcare System, West Haven, CT, USA; Department of Epidemiology, Biostatistics and Community Health Sciences, School of Public Health, Ben-Gurion University of the Negev, Israel
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA
| | - Ilan Harpaz-Rotem
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Robert H Pietrzak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, VA Connecticut Healthcare System, West Haven, CT, USA; Department of Social and Behavioral Sciences, Yale School of Public Health, New Haven, CT, USA.
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Ji L. Childhood emotional abuse and depression among Chinese adolescent sample: A mediating and moderating dual role model of rumination and resilience. CHILD ABUSE & NEGLECT 2024; 149:106607. [PMID: 38154376 DOI: 10.1016/j.chiabu.2023.106607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 12/11/2023] [Accepted: 12/13/2023] [Indexed: 12/30/2023]
Abstract
BACKGROUND Childhood emotional abuse (CEA) has been identified as a distal risk factor for later depression in adolescents. However, the underlying psychological mechanisms between CEA and adolescent depression are still poorly understood. OBJECTIVES This study aimed to explore the roles of rumination and resilience played in the association between CEA and depression among Chinese adolescents. PARTICIPANTS AND SETTING The sample included 919 students (52.56 % boys) with an average age of 13.47 years from a central province in China. METHODS Participants completed multiple measurements of CEA, rumination, resilience, and depression. Multivariate path analysis was applied to examine the relations among these variables. RESULTS Results showed (a) CEA was significantly positively related to adolescent depression; (b) Rumination partially mediated the relationship between CEA and depression and moderated the relationship between resilience and depression; (c) Resilience partially mediated the relationship between CEA and depression and moderated the relationship between rumination and depression. CONCLUSIONS The results revealed that both rumination and resilience played not only mediating but also moderating roles in the relationship between CEA and depression among Chinese adolescent sample, suggesting that the indirect effects of CEA on depression via resilience and rumination are dependent on each other. Hence, these findings deepened the understanding of the psychological mechanisms between CEA and depression and had several practical implications.
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Affiliation(s)
- Lingkai Ji
- Department of Psychology, Normal School, Hubei University, Wuhan 430062, People's Republic of China.
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Vasupanrajit A, Maes M, Jirakran K, Tunvirachaisakul C. Brooding and neuroticism are strongly interrelated manifestations of the phenome of depression. Front Psychiatry 2023; 14:1249839. [PMID: 38188051 PMCID: PMC10766685 DOI: 10.3389/fpsyt.2023.1249839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 11/30/2023] [Indexed: 01/09/2024] Open
Abstract
Introduction We found that neuroticism may be identified as a subclinical manifestation of the phenome of depression, comprising depressive and anxiety symptoms, and suicidal behaviors. Rumination is positively associated with depression and neuroticism and may mediate the effects of neuroticism on depression. This study aimed to determine whether rumination or its components, including brooding or reflection, mediate the effects of neuroticism on depression or, alternatively, whether both neuroticism and rumination are manifestations of the phenome of depression. Methods This study recruited 74 depressed subjects and 44 healthy controls. The depression group was split into groups with high versus low brooding scores. We used partial least squares (PLS) to examine mediation effects. Results We found that brooding and reflection scores are significantly higher in depressed patients than in controls. Patients with higher brooding scores have increased severity of depression, anxiety, insomnia, neuroticism, and current suicidal ideation as compared with patients with lower brooding scores and controls. There is a strong positive association between rumination, and neuroticism, depression, anxiety, and lifetime and current suicidal behaviors. PLS analysis shows that brooding does not mediate the effects of neuroticism on the depression phenome because no discriminant validity could be established between neuroticism and brooding, or between neuroticism and brooding and the depression phenome. We were able to extract one validated latent vector from brooding and neuroticism, insomnia, depression, anxiety, and current suicidal behaviors. Conclusion Overall, this study supports the theory that rumination and neuroticism are reflective manifestations of the phenome of depression.
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Affiliation(s)
- Asara Vasupanrajit
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Ph.D. Program in Mental Health, Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Michael Maes
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Ph.D. Program in Mental Health, Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Sichuan Provincial Center for Mental Health, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
- Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China
- Cognitive Impairment and Dementia Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Cognitive Fitness and Biopsychological Technology Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria
- Research Institute, Medical University of Plovdiv, Plovdiv, Bulgaria
- Kyung Hee University, Seoul, Republic of Korea
| | - Ketsupar Jirakran
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Ph.D. Program in Mental Health, Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Center of Excellence for Maximizing Children's Developmental Potential, Department of Pediatric, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Chavit Tunvirachaisakul
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Ph.D. Program in Mental Health, Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Cognitive Impairment and Dementia Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
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Yi W, Chen Y, Yan L, Kohn N, Wu J. Acute stress selectively blunts reward anticipation but not consumption: An ERP study. Neurobiol Stress 2023; 27:100583. [PMID: 38025282 PMCID: PMC10660484 DOI: 10.1016/j.ynstr.2023.100583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/13/2023] [Accepted: 10/24/2023] [Indexed: 12/01/2023] Open
Abstract
Stress-induced dysfunction of reward processing is documented to be a critical factor associated with mental illness. Although many studies have attempted to clarify the relationship between stress and reward, few studies have investigated the effect of acute stress on the temporal dynamics of reward processing. The present study applied event-related potentials (ERP) to examine how acute stress differently influences reward anticipation and consumption. In this study, seventy-eight undergraduates completed a two-door reward task following a Trier Social Stress Task (TSST) or a placebo task. The TSST group showed higher cortisol levels, perceived stress, anxiety, and negative affect than the control group. For the control group, a higher magnitude of reward elicited a reduced cue-N2 but increased stimulus-preceding negativity (SPN), suggesting that controls were sensitive to reward magnitude. In contrast, these effects were absent in the stress group, suggesting that acute stress reduces sensitivity to reward magnitude during the anticipatory phase. However, the reward positivity (RewP) and P3 of both groups showed similar patterns, which suggests that acute stress has no impact on reward responsiveness during the consummatory phase. These findings suggest that acute stress selectively blunts sensitivity to reward magnitude during the anticipatory rather than the consummatory phase.
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Affiliation(s)
- Wei Yi
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Yantao Chen
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Linlin Yan
- Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Nils Kohn
- Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jianhui Wu
- School of Psychology, Shenzhen University, Shenzhen, China
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