1
|
Ding Y, Ou Y, Yan H, Liu F, Li H, Li P, Xie G, Cui X, Guo W. Uncovering the Neural Correlates of Anhedonia Subtypes in Major Depressive Disorder: Implications for Intervention Strategies. Biomedicines 2023; 11:3138. [PMID: 38137360 PMCID: PMC10740577 DOI: 10.3390/biomedicines11123138] [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] [Received: 10/03/2023] [Revised: 11/10/2023] [Accepted: 11/21/2023] [Indexed: 12/24/2023] Open
Abstract
Major depressive disorder (MDD) represents a serious public health concern, negatively affecting individuals' quality of life and making a substantial contribution to the global burden of disease. Anhedonia is a core symptom of MDD and is associated with poor treatment outcomes. Variability in anhedonia components within MDD has been observed, suggesting heterogeneity in psychopathology across subgroups. However, little is known about anhedonia subgroups in MDD and their underlying neural correlates across subgroups. To address this question, we employed a hierarchical cluster analysis based on Temporal Experience of Pleasure Scale subscales in 60 first-episode, drug-naive MDD patients and 32 healthy controls. Then we conducted a connectome-wide association study and whole-brain voxel-wise functional analyses for identified subgroups. There were three main findings: (1) three subgroups with different anhedonia profiles were identified using a data mining approach; (2) several parts of the reward network (especially pallidum and dorsal striatum) were associated with anticipatory and consummatory pleasure; (3) different patterns of within- and between-network connectivity contributed to the disparities of anhedonia profiles across three MDD subgroups. Here, we show that anhedonia in MDD is not uniform and can be categorized into distinct subgroups, and our research contributes to the understanding of neural underpinnings, offering potential treatment directions. This work emphasizes the need for tailored approaches in the complex landscape of MDD. The identification of homogeneous, stable, and neurobiologically valid MDD subtypes could significantly enhance our comprehension and management of this multifaceted condition.
Collapse
Affiliation(s)
- Yudan Ding
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Y.D.); (H.Y.); (G.X.)
| | - Yangpan Ou
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Y.D.); (H.Y.); (G.X.)
| | - Haohao Yan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Y.D.); (H.Y.); (G.X.)
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China;
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha 410011, China;
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar 161006, China;
| | - Guangrong Xie
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Y.D.); (H.Y.); (G.X.)
| | - Xilong Cui
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Y.D.); (H.Y.); (G.X.)
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Y.D.); (H.Y.); (G.X.)
| |
Collapse
|
2
|
Pupillary response in reward processing in adults with major depressive disorder in remission. J Int Neuropsychol Soc 2023; 29:306-315. [PMID: 35545874 DOI: 10.1017/s1355617722000224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE Major depressive disorder (MDD) is associated with impaired reward processing and reward learning. The literature is inconclusive regarding whether these impairments persist after remission. The current study examined reward processing during a probabilistic learning task in individuals in remission from MDD (n = 19) and never depressed healthy controls (n = 31) matched for age and sex. The outcome measures were pupil dilation (an indirect index of noradrenergic activity and arousal) and computational modeling parameters. METHOD Participants completed two versions (facial/nonfacial feedback) of probabilistic reward learning task with changing contingencies. Pupil dilation was measured with a corneal reflection eye tracker. The hypotheses and analysis plan were preregistered. RESULT Healthy controls had larger pupil dilation following losses than gains (p <.001), whereas no significant difference between outcomes was found in individuals with a history of MDD, resulting in an interaction between group and outcome (β = 0.81, SE = 0.34, t = 2.37, p = .018). The rMDD group also achieved lower mean score at the last trial (t[46.77] = 2.12, p = .040) as well as a smaller proportion of correct choices (t[46.70] = 2.09, p = .041) compared with healthy controls. CONCLUSION Impaired reward processing may persist after remission from MDD and could constitute a latent risk factor for relapse. Measuring pupil dilation in a reward learning task is a promising method for identifying reward processing abnormalities linked to MDD. The task is simple and noninvasive, which makes it feasible for clinical research.
Collapse
|
3
|
Wakatsuki Y, Ogura Y, Hashimoto N, Toyomaki A, Miyamoto T, Nakagawa S, Inoue T, Kusumi I. Subjects with bipolar disorder showed different reward system activation than subjects with major depressive disorder in the monetary incentive delay task. Psychiatry Clin Neurosci 2022; 76:393-400. [PMID: 35608194 DOI: 10.1111/pcn.13429] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 05/11/2022] [Accepted: 05/17/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Differentiating between bipolar disorder (BD) and major depressive disorder (MDD) during the depressive episode is an important clinical challenge. Reward system abnormalities have received much attention as one of the biological underpinnings of BD and MDD, but few studies have directly compared these abnormalities in remitted and depressed states. METHODS This was a functional MRI study using the Monetary Incentive Delay task in 65 patients (BD [n = 33], MDD [n = 32]) and 33 healthy controls (HC). Regions of interest (ROI) analysis with 21 ROIs related to reward anticipation and 17 ROIs related to gain outcome were implemented, as well as whole-brain analysis. The difference in the dimensional effect of depression on brain activation was also examined. RESULTS Relative to the HC group, BD patients showed significantly decreased activation during reward anticipation in the anterior cingulate cortex, anterior insula (AI), and putamen, and MDD patients showed significantly decreased activation in the AI and brainstem. The dimensional effect of depression severity showed a trend-level difference between BD and MDD in the right brainstem and left AI. CONCLUSIONS The current study showed a possible differential effect of depression on the reward system between MDD and BD. Further studies on reward systems might offer reliable markers to distinguish between MDD and BD patients in the depressive phase.
Collapse
Affiliation(s)
- Yumi Wakatsuki
- Department of Psychiatry, The Hokkaido medical center, Sapporo, Japan
| | - Yukiko Ogura
- Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan
| | - Naoki Hashimoto
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Atsuhito Toyomaki
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Tamaki Miyamoto
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Shin Nakagawa
- Department of Neuropsychiatry, Yamaguchi University, Yamaguchi, Japan
| | - Takeshi Inoue
- Department of Psychiatry, Tokyo Medical University, Tokyo, Japan
| | - Ichiro Kusumi
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| |
Collapse
|
4
|
Chang RS, Cerit H, Hye T, Durham EL, Aizley H, Boukezzi S, Haimovici F, Goldstein JM, Dillon DG, Pizzagalli DA, Holsen LM. Stress-induced alterations in HPA-axis reactivity and mesolimbic reward activation in individuals with emotional eating. Appetite 2022; 168:105707. [PMID: 34562531 PMCID: PMC8671188 DOI: 10.1016/j.appet.2021.105707] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 09/20/2021] [Accepted: 09/21/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Emotional eating has emerged as a contributing factor to overeating, potentially leading to obesity or disordered eating behaviors. However, the underlying biological mechanisms related to emotional eating remain unclear. The present study examined emotional, hormonal, and neural alterations elicited by an acute laboratory stressor in individuals with and without emotional eating. METHODS Emotional (n = 13) and non-emotional eaters (n = 15) completed two main study visits, one week apart: one visit included a Stress version and the other a No-stress version of the Maastricht Acute Stress Task (MAST). Immediately pre- and post-MAST, blood was drawn for serum cortisol and participants rated their anxiety level. After the MAST, participants completed a Food Incentive Delay (FID) task during functional magnetic resonance imaging (fMRI), followed by an ad libitum snack period. RESULTS Emotional eaters exhibited elevated anxiety (p = 0.037) and cortisol (p = 0.001) in response to the Stress MAST. There were no changes in anxiety or cortisol among non-emotional eaters in response to the Stress MAST or in either group in response to the No-stress MAST. In response to the Stress MAST, emotional eaters exhibited reduced activation during anticipation of food reward in mesolimbic reward regions (caudate: p = 0.014, nucleus accumbens: p = 0.022, putamen: p = 0.013), compared to non-emotional eaters. Groups did not differ in snack consumption. CONCLUSIONS These data indicate disrupted neuroendocrine and neural responsivity to psychosocial stress amongst otherwise-healthy emotional eaters, who demonstrated hyperactive HPA-axis response coupled with hypoactivation in reward circuitry. Differential responsivity to stress may represent a risk factor in the development of maladaptive eating behaviors.
Collapse
Affiliation(s)
- Rose Seoyoung Chang
- Division of Women’s Health, Department of Medicine, 75 Francis St., Boston, Massachusetts, 02115, USA
| | - Hilâl Cerit
- Division of Women’s Health, Department of Medicine, 75 Francis St., Boston, Massachusetts, 02115, USA,Harvard Medical School, 25 Shattuck St., Boston, Massachusetts, 02115, USA
| | - Taryn Hye
- Division of Women’s Health, Department of Medicine, 75 Francis St., Boston, Massachusetts, 02115, USA
| | - E. Leighton Durham
- Division of Women’s Health, Department of Medicine, 75 Francis St., Boston, Massachusetts, 02115, USA
| | - Harlyn Aizley
- Department of Psychiatry, Massachusetts General Hospital, 55 Fruit St., Boston, MA, 02114, USA
| | - Sarah Boukezzi
- Division of Women’s Health, Department of Medicine, 75 Francis St., Boston, Massachusetts, 02115, USA,Harvard Medical School, 25 Shattuck St., Boston, Massachusetts, 02115, USA
| | - Florina Haimovici
- Department of Psychiatry, Brigham and Women’s Hospital, 75 Francis St., Boston, Massachusetts, 02115, USA,Harvard Medical School, 25 Shattuck St., Boston, Massachusetts, 02115, USA
| | - Jill M. Goldstein
- Division of Women’s Health, Department of Medicine, 75 Francis St., Boston, Massachusetts, 02115, USA,Harvard Medical School, 25 Shattuck St., Boston, Massachusetts, 02115, USA,Department of Psychiatry, Massachusetts General Hospital, 55 Fruit St., Boston, MA, 02114, USA,Department of Obstetrics and Gynecology, Massachusetts General Hospital, 55 Fruit St., Boston, MA, 02114, USA,Innovation Center on Sex Differences in Medicine, Massachusetts General Hospital, 55 Fruit St., Boston, MA, 02114, USA
| | - Daniel G. Dillon
- Harvard Medical School, 25 Shattuck St., Boston, Massachusetts, 02115, USA,Center for Depression, Anxiety and Stress Research, McLean Hospital, 115 Mill St., Belmont, Massachusetts, 02478, USA
| | - Diego A. Pizzagalli
- Harvard Medical School, 25 Shattuck St., Boston, Massachusetts, 02115, USA,Center for Depression, Anxiety and Stress Research, McLean Hospital, 115 Mill St., Belmont, Massachusetts, 02478, USA,McLean Imaging Center, McLean Hospital, 115 Mill St., Belmont, Massachusetts, 02478, USA
| | - Laura M. Holsen
- Division of Women’s Health, Department of Medicine, 75 Francis St., Boston, Massachusetts, 02115, USA,Department of Psychiatry, Brigham and Women’s Hospital, 75 Francis St., Boston, Massachusetts, 02115, USA,Harvard Medical School, 25 Shattuck St., Boston, Massachusetts, 02115, USA,Innovation Center on Sex Differences in Medicine, Massachusetts General Hospital, 55 Fruit St., Boston, MA, 02114, USA,Corresponding author: Laura Holsen, Ph.D., Division of Women’s Health, 1620 Tremont St., BC-3, Brigham and Women’s Hospital, Boston, MA 02120,
| |
Collapse
|
5
|
Correlations between facial emotion processing and biochemical abnormalities in untreated adolescent patients with major depressive disorder: A proton magnetic resonance spectroscopy study. J Affect Disord 2022; 296:408-417. [PMID: 34638025 DOI: 10.1016/j.jad.2021.08.129] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 08/04/2021] [Accepted: 08/27/2021] [Indexed: 01/05/2023]
Abstract
BACKGROUND Studies show that disturbances of the fronto-striato-thalamic-cerebellar circuit could be correlated to facial emotion processing (FEP) biases in major depressive disorder (MDD). Nevertheless, the underlying mechanism of natural metabolism-emotion relationships in adolescent MDD remains unclear. METHODS Thirty-seven adolescent patients with MDD and 30 healthy controls completed FEP tasks using the Chinese Facial Affective Picture System (CAFPS). Proton magnetic resonance spectroscopy (1H-MRS) was also used to obtain ratios of N-acetylaspartate (NAA) /creatine (Cr) and choline (Cho) /Cr ratios in the prefrontal cortex (PFC), anterior cingulate cortex (ACC), putamen, thalamus and cerebellum. Correlations between abnormal neurometabolic ratios and FEP were also computed. RESULTS Compared with the control group, the MDD group had significantly lower accuracy and perception intensity of happiness, and significantly higher accuracy of disgust and perception intensity of sad and fearful faces in FEP tasks. Compared to healthy controls, adolescent patients with MDD showed significantly lower NAA/Cr ratios in the left PFC, higher NAA/Cr ratios in the right thalamus, and higher Cho/Cr ratios in the right putamen, although there were no significant differences in metabolites in the ACC and cerebellum between two groups. In the MDD group, NAA/Cr ratios of the right thalamus were negatively correlated with happy reaction time and positively correlated with sad, anger, and fear intensity; Cho/Cr ratios in the right putamen were positively correlated with fear reaction time. CONCLUSIONS Our findings suggest that FEP bias may exist in adolescents with MDD, while the impairment of FEP may be associated with abnormal metabolites in the fronto-striato-thalamic circuit.
Collapse
|
6
|
Characterizing anhedonia: A systematic review of neuroimaging across the subtypes of reward processing deficits in depression. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2021; 20:816-841. [PMID: 32472419 PMCID: PMC7395022 DOI: 10.3758/s13415-020-00804-6] [Citation(s) in RCA: 79] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Anhedonia is a key symptom of major depressive disorder (MDD) and comprises behavioural deficits in three reward processing subtypes: reward liking, reward wanting, and reward learning. However, neuroimaging findings regarding the neural abnormalities underpinning these deficits are complex. We have conducted a systematic review to update, reframe and summarize neuroimaging findings across the three subtypes of anhedonia in MDD. Using PubMed, The Cochrane Library, PsycINFO, and Web of Science databases, we identified 59 fMRI studies comparing participants with current or remitted MDD with controls, using reward processing tasks. For reward liking and wanting, striatal hypoactivation was observed, alongside hypoactivation and hyperactivation across frontal regions. For reward learning, blunted frontostriatal sensitivity to positive feedback was observed. These findings highlight the importance of studying anhedonia not only as a clinical manifestation but also as a neurobiological mechanism underlying depressive disorder and other broader psychiatric conditions.
Collapse
|
7
|
Wang S, Leri F, Rizvi SJ. Anhedonia as a central factor in depression: Neural mechanisms revealed from preclinical to clinical evidence. Prog Neuropsychopharmacol Biol Psychiatry 2021; 110:110289. [PMID: 33631251 DOI: 10.1016/j.pnpbp.2021.110289] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 01/25/2021] [Accepted: 02/16/2021] [Indexed: 12/21/2022]
Abstract
Anhedonia is one of the core symptoms of major depressive disorder (MDD), which is often inadequately treated by traditional antidepressants. The modern framework of anhedonia extends the definition from impaired consummatory pleasure or interest in rewards to a broad spectrum of deficits that impact functions such as reward anticipation, approach motivation, effort expenditure, reward valuation, expectation, and reward-cue association learning. Substantial preclinical and clinical research has explored the neural basis of reward deficits in the context of depression, and has implicated mesocorticolimbic reward circuitry comprising the nucleus accumbens, ventral pallidum, ventral tegmental area, amygdala, hippocampus, anterior cingulate, insula, orbitofrontal cortex, and other prefrontal cortex regions. Dopamine modulates several reward facets including anticipation, motivation, effort, and learning. As well, serotonin, norepinephrine, opioids, glutamate, Gamma aminobutyric acid (GABA), and acetylcholine are also involved in anhedonia, and medications targeting these systems may also potentially normalize reward processing in depression. Unfortunately, whereas reward anticipation and reward outcome are extensively explored by both preclinical and clinical studies, translational gaps remain in reward motivation, effort, valuation, and learning, where clinical neuroimaging studies are in the early stages. This review aims to synthesize the neurobiological mechanisms underlying anhedonia in MDD uncovered by preclinical and clinical research. The translational difficulties in studying the neural basis of reward are also discussed.
Collapse
Affiliation(s)
- Shijing Wang
- Arthur Sommer Rotenberg Suicide and Depression Studies Program, St. Michael's Hospital, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Francesco Leri
- Department of Psychology, University of Guelph, Ontario, Canada
| | - Sakina J Rizvi
- Arthur Sommer Rotenberg Suicide and Depression Studies Program, St. Michael's Hospital, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.
| |
Collapse
|
8
|
Macoveanu J, Meluken I, Chase HW, Phillips ML, Kessing LV, Siebner HR, Vinberg M, Miskowiak KW. Reduced frontostriatal response to expected value and reward prediction error in remitted monozygotic twins with mood disorders and their unaffected high-risk co-twins. Psychol Med 2021; 51:1637-1646. [PMID: 32115012 DOI: 10.1017/s0033291720000367] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Depressive episodes experienced in unipolar (UD) and bipolar (BD) disorders are characterized by anhedonia and have been associated with abnormalities in reward processes related to reward valuation and error prediction. It remains however unclear whether these deficits are associated with familial vulnerability to mood disorders. METHODS In a functional magnetic resonance imaging study, we evaluated differences in the expected value (EV) and reward prediction error (RPE) signals in ventral striatum (VS) and prefrontal cortex between three groups of monozygotic twins: affected twins in remission for either UD or BD (n = 53), their high-risk unaffected co-twins (n = 34), and low-risk twins with no family history of mood disorders (n = 25). RESULTS Compared to low-risk twins, affected twins showed lower EV signal bilaterally in the frontal poles and lower RPE signal bilaterally in the VS, left frontal pole and superior frontal gyrus. The high-risk group did not show a significant change in the EV or RPE signals in frontostriatal regions, yet both reward signals were consistently lower compared with low-risk twins in all regions where the affected twins showed significant reductions. CONCLUSION Our findings strengthen the notion that reduced valuation of expected rewards and reduced error-dependent reward learning may underpin core symptom of depression such as loss of interest in rewarding activities. The trend reduction in reward-related signals in unaffected co-twins warrants further investigation of this effect in larger samples and prospective follow-up to confirm possible association with increased familial vulnerability to mood disorders.
Collapse
Affiliation(s)
- Julian Macoveanu
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Iselin Meluken
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Henry W Chase
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Hartwig Roman Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
- Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
- Faculty of Medical and Health Sciences, Institute for Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Maj Vinberg
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Kamilla W Miskowiak
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| |
Collapse
|
9
|
Trøstheim M, Eikemo M, Meir R, Hansen I, Paul E, Kroll SL, Garland EL, Leknes S. Assessment of Anhedonia in Adults With and Without Mental Illness: A Systematic Review and Meta-analysis. JAMA Netw Open 2020; 3:e2013233. [PMID: 32789515 PMCID: PMC7116156 DOI: 10.1001/jamanetworkopen.2020.13233] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
IMPORTANCE Anhedonia, a reduced capacity for pleasure, is described for many psychiatric and neurologic conditions. However, a decade after the Research Domain Criteria launch, whether anhedonia severity differs between diagnoses is still unclear. Reference values for hedonic capacity in healthy humans are also needed. OBJECTIVE To generate and compare reference values for anhedonia levels in adults with and without mental illness. DATA SOURCES Web of Science, Scopus, PubMed, and Google Scholar were used to list all articles from January 1, 1995 to July 2, 2019, citing the scale development report of a widely used anhedonia questionnaire, the Snaith-Hamilton Pleasure Scale (SHAPS). Searches were conducted from April 5 to 11, 2018, and on July 2, 2019. STUDY SELECTION Studies including healthy patients and those with a verified diagnosis, assessed at baseline or in a no-treatment condition with the complete 14-item SHAPS, were included in this preregistered meta-analysis. DATA EXTRACTION AND SYNTHESIS Random-effects models were used to calculate mean SHAPS scores and 95% CIs separately for healthy participants and patients with current major depressive disorder (MDD), past/remitted MDD, bipolar disorder, schizophrenia, substance use disorders, Parkinson disease, and chronic pain. SHAPS scores were compared between groups using meta-regression, and traditional effect size meta-analyses were conducted to estimate differences in SHAPS scores between healthy and patient samples. This study followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. MAIN OUTCOMES AND MEASURES Self-reported anhedonia as measured by 2 different formats of the SHAPS (possible ranges, 0-14 and 14-56 points), with higher values on both scales indicating greater anhedonia symptoms. RESULTS In the available literature (168 articles; 16 494 participants; 8058 [49%] female participants; aged 13-72 years), patients with current MDD, schizophrenia, substance use disorder, Parkinson disease, and chronic pain scored higher on the SHAPS than healthy participants. Within the patient groups, those with current MDD scored considerably higher than all other groups. Patients with remitted MDD scored within the healthy range (g = 0.1). This pattern replicated across SHAPS scoring methods and was consistent across point estimate and effect size analyses. CONCLUSIONS AND RELEVANCE The findings of this meta-analysis indicate that the severity of anhedonia may differ across disorders associated with anhedonia. Whereas anhedonia in MDD affects multiple pleasure domains, patients with other conditions may experience decreased enjoyment of only a minority of life's many rewards. These findings have implications for psychiatric taxonomy development, where dimensional approaches are gaining attention. Moreover, the SHAPS reference values presented herein may be useful for researchers and clinicians assessing the efficacy of anhedonia treatments.
Collapse
Affiliation(s)
- Martin Trøstheim
- Department of Psychology, University of Oslo, Oslo, Norway
- Department of Diagnostic Physics, Oslo University Hospital, Oslo, Norway
| | - Marie Eikemo
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Remy Meir
- Department of Neuroscience, Brown University, Providence, Rhode Island
| | - Ingelin Hansen
- Department of Diagnostic Physics, Oslo University Hospital, Oslo, Norway
| | - Elisabeth Paul
- Center for Social and Affective Neuroscience, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Sara Liane Kroll
- Center for Social and Affective Neuroscience, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Eric L Garland
- Center on Mindfulness and Integrative Health Intervention Development, The University of Utah, Salt Lake City
- The University of Utah College of Social Work, Salt Lake City
| | - Siri Leknes
- Department of Psychology, University of Oslo, Oslo, Norway
- Department of Diagnostic Physics, Oslo University Hospital, Oslo, Norway
| |
Collapse
|
10
|
Giustiniani J, Nicolier M, Teti Mayer J, Chabin T, Masse C, Galmès N, Pazart L, Trojak B, Bennabi D, Vandel P, Haffen E, Gabriel D. Event-Related Potentials (ERP) Indices of Motivation during the Effort Expenditure for Reward Task. Brain Sci 2020; 10:E283. [PMID: 32397250 PMCID: PMC7287692 DOI: 10.3390/brainsci10050283] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 05/05/2020] [Accepted: 05/06/2020] [Indexed: 12/23/2022] Open
Abstract
Dynamic and temporal facets of the various constructs that comprise motivation remain to be explored. Here, we adapted the Effort Expenditure for Reward Task, a well-known laboratory task used to evaluate motivation, to study the event-related potentials associated with reward processing. The Stimulus Preceding Negativity (SPN) and the P300 were utilized as motivation indicators with high density electroencephalography. The SPN was found to be more negative for difficult choices compared to easy choices, suggesting a greater level of motivation, at a neurophysiological level. The insula, a structure previously associated with both effort discounting and prediction error, was concomitantly activated during the generation of the SPN. Processing a gain significantly altered the amplitude of the P300 compared to an absence of gain, particularly on centroparietal electrodes. One of the generators of the P300 was located on the vmPFC, a cerebral structure involved in the choice between two positive results and their predictions, during loss processing. Both the SPN and the P300 appear to be reliable neural markers of motivation. We postulate that the SPN represents the strength of the motivational level, while the P300 represents the impact of motivation on updating memories of the feedback.
Collapse
Affiliation(s)
- Julie Giustiniani
- Department of Clinical Psychiatry, University Hospital of Besançon, 25000 Besançon, France; (M.N.); (J.T.M.); (C.M.); (D.B.); (P.V.); (E.H.)
- EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, 25000 Besançon, France; (T.C.); (N.G.); (L.P.); (D.G.)
- Clinical Investigation Centre, University Hospital of Besançon, Inserm CIC 1431, 25000 Besançon, France
| | - Magali Nicolier
- Department of Clinical Psychiatry, University Hospital of Besançon, 25000 Besançon, France; (M.N.); (J.T.M.); (C.M.); (D.B.); (P.V.); (E.H.)
- EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, 25000 Besançon, France; (T.C.); (N.G.); (L.P.); (D.G.)
- Clinical Investigation Centre, University Hospital of Besançon, Inserm CIC 1431, 25000 Besançon, France
- Neuroimaging and neurostimulation department Neuraxess, University of Burgundy Franche-Comté, 25000 Besançon, France
| | - Juliana Teti Mayer
- Department of Clinical Psychiatry, University Hospital of Besançon, 25000 Besançon, France; (M.N.); (J.T.M.); (C.M.); (D.B.); (P.V.); (E.H.)
- EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, 25000 Besançon, France; (T.C.); (N.G.); (L.P.); (D.G.)
| | - Thibault Chabin
- EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, 25000 Besançon, France; (T.C.); (N.G.); (L.P.); (D.G.)
| | - Caroline Masse
- Department of Clinical Psychiatry, University Hospital of Besançon, 25000 Besançon, France; (M.N.); (J.T.M.); (C.M.); (D.B.); (P.V.); (E.H.)
- EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, 25000 Besançon, France; (T.C.); (N.G.); (L.P.); (D.G.)
| | - Nathan Galmès
- EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, 25000 Besançon, France; (T.C.); (N.G.); (L.P.); (D.G.)
| | - Lionel Pazart
- EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, 25000 Besançon, France; (T.C.); (N.G.); (L.P.); (D.G.)
- Clinical Investigation Centre, University Hospital of Besançon, Inserm CIC 1431, 25000 Besançon, France
| | - Benoit Trojak
- Department of Psychiatry and Addictology, University Hospital of Dijon, 21079 Dijon, France;
- EA 4452, LPPM, University of Burgundy Franche-Comté, 21000 Dijon, France
| | - Djamila Bennabi
- Department of Clinical Psychiatry, University Hospital of Besançon, 25000 Besançon, France; (M.N.); (J.T.M.); (C.M.); (D.B.); (P.V.); (E.H.)
- EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, 25000 Besançon, France; (T.C.); (N.G.); (L.P.); (D.G.)
- FondaMental Foundation, 94000 Créteil, France
| | - Pierre Vandel
- Department of Clinical Psychiatry, University Hospital of Besançon, 25000 Besançon, France; (M.N.); (J.T.M.); (C.M.); (D.B.); (P.V.); (E.H.)
- EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, 25000 Besançon, France; (T.C.); (N.G.); (L.P.); (D.G.)
- Clinical Investigation Centre, University Hospital of Besançon, Inserm CIC 1431, 25000 Besançon, France
| | - Emmanuel Haffen
- Department of Clinical Psychiatry, University Hospital of Besançon, 25000 Besançon, France; (M.N.); (J.T.M.); (C.M.); (D.B.); (P.V.); (E.H.)
- EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, 25000 Besançon, France; (T.C.); (N.G.); (L.P.); (D.G.)
- Clinical Investigation Centre, University Hospital of Besançon, Inserm CIC 1431, 25000 Besançon, France
- FondaMental Foundation, 94000 Créteil, France
| | - Damien Gabriel
- EA 481, Laboratory of Neurosciences, University of Burgundy Franche-Comté, 25000 Besançon, France; (T.C.); (N.G.); (L.P.); (D.G.)
- Clinical Investigation Centre, University Hospital of Besançon, Inserm CIC 1431, 25000 Besançon, France
- Neuroimaging and neurostimulation department Neuraxess, University of Burgundy Franche-Comté, 25000 Besançon, France
| |
Collapse
|
11
|
Reinforcement sensitivity, depression and anxiety: A meta-analysis and meta-analytic structural equation model. Clin Psychol Rev 2020; 77:101842. [PMID: 32179341 DOI: 10.1016/j.cpr.2020.101842] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 02/06/2020] [Accepted: 03/04/2020] [Indexed: 12/21/2022]
Abstract
Reinforcement Sensitivity Theory (RST) posits that individual differences in reward and punishment processing predict differences in cognition, behavior, and psychopathology. We performed a quantitative review of the relationships between reinforcement sensitivity, depression and anxiety, in two separate sets of analyses. First, we reviewed 204 studies that reported either correlations between reinforcement sensitivity and self-reported symptom severity or differences in reinforcement sensitivity between diagnosed and healthy participants, yielding 483 effect sizes. Both depression (Hedges' g = .99) and anxiety (g = 1.21) were found to be high on punishment sensitivity. Reward sensitivity negatively predicted only depressive disorders (g = -.21). More severe clinical states (e.g., acute vs remission) predicted larger effect sizes for depression but not anxiety. Next, we reviewed an additional 39 studies that reported correlations between reinforcement sensitivity and both depression and anxiety, yielding 156 effect sizes. We then performed meta-analytic structural equation modeling to simultaneously estimate all covariances and control for comorbidity. Again we found punishment sensitivity to predict depression (β = .37) and anxiety (β = .35), with reward sensitivity only predicting depression (β = -.07). The transdiagnostic role of punishment sensitivity and the discriminatory role of reward sensitivity support a hierarchical approach to RST and psychopathology.
Collapse
|
12
|
Geugies H, Mocking RJT, Figueroa CA, Groot PFC, Marsman JBC, Servaas MN, Steele JD, Schene AH, Ruhé HG. Impaired reward-related learning signals in remitted unmedicated patients with recurrent depression. Brain 2019; 142:2510-2522. [PMID: 31280309 PMCID: PMC6734943 DOI: 10.1093/brain/awz167] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Revised: 04/11/2019] [Accepted: 04/21/2019] [Indexed: 01/17/2023] Open
Abstract
One of the core symptoms of major depressive disorder is anhedonia, an inability to experience pleasure. In patients with major depressive disorder, a dysfunctional reward-system may exist, with blunted temporal difference reward-related learning signals in the ventral striatum and increased temporal difference-related (dopaminergic) activation in the ventral tegmental area. Anhedonia often remains as residual symptom during remission; however, it remains largely unknown whether the abovementioned reward systems are still dysfunctional when patients are in remission. We used a Pavlovian classical conditioning functional MRI task to explore the relationship between anhedonia and the temporal difference-related response of the ventral tegmental area and ventral striatum in medication-free remitted recurrent depression patients (n = 36) versus healthy control subjects (n = 27). Computational modelling was used to obtain the expected temporal difference errors during this task. Patients, compared to healthy controls, showed significantly increased temporal difference reward learning activation in the ventral tegmental area (PFWE,SVC = 0.028). No differences were observed between groups for ventral striatum activity. A group × anhedonia interaction [t(57) = -2.29, P = 0.026] indicated that in patients, higher anhedonia was associated with lower temporal difference activation in the ventral tegmental area, while in healthy controls higher anhedonia was associated with higher ventral tegmental area activation. These findings suggest impaired reward-related learning signals in the ventral tegmental area during remission in patients with depression. This merits further investigation to identify impaired reward-related learning as an endophenotype for recurrent depression. Moreover, the inverse association between reinforcement learning and anhedonia in patients implies an additional disturbing influence of anhedonia on reward-related learning or vice versa, suggesting that the level of anhedonia should be considered in behavioural treatments.
Collapse
Affiliation(s)
- Hanneke Geugies
- University Medical Center Groningen, University Center for Psychiatry, Mood and Anxiety Disorders, University of Groningen, The Netherlands
- University Medical Center Groningen, Department of Neuroscience, Neuroimaging Center, University of Groningen, The Netherlands
| | - Roel J T Mocking
- Department of Psychiatry, Amsterdam University Medical Center, location AMC, University of Amsterdam, The Netherlands
| | - Caroline A Figueroa
- Department of Psychiatry, Amsterdam University Medical Center, location AMC, University of Amsterdam, The Netherlands
- Warneford Hospital, Department of Psychiatry, University of Oxford, UK
| | - Paul F C Groot
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location AMC, University of Amsterdam, The Netherlands
| | - Jan-Bernard C Marsman
- University Medical Center Groningen, Department of Neuroscience, Neuroimaging Center, University of Groningen, The Netherlands
| | - Michelle N Servaas
- University Medical Center Groningen, Department of Neuroscience, Neuroimaging Center, University of Groningen, The Netherlands
| | - J Douglas Steele
- Medical School (Neuroscience), University of Dundee, Scotland, UK
| | - Aart H Schene
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Henricus G Ruhé
- University Medical Center Groningen, University Center for Psychiatry, Mood and Anxiety Disorders, University of Groningen, The Netherlands
- Department of Psychiatry, Amsterdam University Medical Center, location AMC, University of Amsterdam, The Netherlands
- Warneford Hospital, Department of Psychiatry, University of Oxford, UK
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| |
Collapse
|
13
|
Su Y, D'Arcy C, Yuan S, Meng X. How does childhood maltreatment influence ensuing cognitive functioning among people with the exposure of childhood maltreatment? A systematic review of prospective cohort studies. J Affect Disord 2019; 252:278-293. [PMID: 30991256 DOI: 10.1016/j.jad.2019.04.026] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 03/04/2019] [Accepted: 04/07/2019] [Indexed: 11/25/2022]
Abstract
BACKGROUND Childhood maltreatment is closely related to normal cognitive development and ensuing adverse mental health outcomes and cognitive dysfunction. Our current comprehensive systematic review examines the relationship between childhood maltreatment and cognitive functioning focusing only on prospective studies, which allow us to draw inferences about the temporal relationships among the constructs and make causal inferences. METHODS The databases, EMBASE, HealthStar, PsychoInfo, Medline, and Cochrane Library, were searched using a systematic methodology to identify prospective studies published up to December, 2017 to explore the relationship between childhood maltreatment and cognitive functioning. Quality assessment of each study was rated using Newcastle-Ottawa-Scale (NOS). RESULTS 10 articles with 11 studies were included evaluating cognitive development, memory, academic achievement, literacy/verbal comprehension, intelligence, executive function, processing speed, perceptional reasoning, and non-verbal reasoning among children exposed to abuse, neglect or domestic violence either individually or combined. Intelligence and executive function were the most frequently reported cognitive impairments. The findings of this review collectively indicated that nine domains of the cognitive functioning impairments were significantly related to multiple forms of maltreatment and that significance remained in multivariable analyses after controlling for potential confounders. LIMITATIONS A high degree of heterogeneity of various domains of cognitive functioning and different measurements among selected studies precluded the use of meta-analysis. CONCLUSIONS Childhood maltreatment is considered as one of the most consistent factors related to later life cognitive dysfunction. The study outcomes provide direction for future research on children who have experienced child abuse and have implications for the delivery of health and mental health services to develop clinical practice and intervention for maltreated children.
Collapse
Affiliation(s)
- Yingying Su
- School of Public Health, University of Saskatchewan, Saskatoon, SK, Canada
| | - Carl D'Arcy
- School of Public Health, University of Saskatchewan, Saskatoon, SK, Canada; Department of Psychiatry, College of Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | | | - Xiangfei Meng
- Department of Psychiatry, Faculty of Medicine, McGill University, 6875 boulevard LaSalle, Montreal, QC H4H 1R3, Canada; Douglas Mental Health University Institute, Montreal, QC Canada.
| |
Collapse
|
14
|
What DNA methylation modifications and/or genetic variations interact with childhood maltreatment in the development of depression: A systematic review. J Affect Disord 2019; 252:325-333. [PMID: 30999089 DOI: 10.1016/j.jad.2019.04.049] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 01/22/2019] [Accepted: 04/08/2019] [Indexed: 12/19/2022]
Abstract
BACKGROUND Child maltreatment predicts a significant risk factor for depression. The relationship between child maltreatment and depression has been shown to vary as a function of genetic factors. There have been very few systematic reviews conducted to date to synthesize what DNA methylations and/ or genetic variations interact with childhood maltreatment in the course of depression. This systematic review aimed to provide an overview of DNA methylation modifications with/without genetic variations associated with childhood maltreatment in depression. METHODS Computerized and manual search on six databases (EMBASE, HealthStar, PsychoInfo, Medline, PubMed and Cochrane Library) and grey literature up to June 30th 2018 were conducted. Studies were critically evaluated for their eligibility and study quality. RESULTS The initial search resulted in 196 articles. Five articles met the eligibility criteria being included in this review. All the selected studies were from the United States and published within the last five years. Changes in ID3, TPPP, GRIN1, and OXTR DNA methylation sites were found to be involved in the childhood maltreatment-depression relationship. LIMITATIONS The number of eligible articles included in this review was small. Selected articles had small sample sizes. A high degree of heterogeneity was found. It is difficult to conclude what the roles of DNA methylation modifications are in the relationship between maltreatment and depression. Population stratification has not been extensively studied so far and should be considered in the further research. CONCLUSIONS This review synthesizes an overview of the interaction between childhood maltreatment, DNA methylation modifications and genetic variations in depression. Findings of this review highlight an urgent need for genetic and epigenetic research in the area of childhood maltreatment and depression. Future etiological explorations should target on the above identified sites.
Collapse
|
15
|
Keren H, O’Callaghan G, Vidal-Ribas P, Buzzell GA, Brotman MA, Leibenluft E, Pan PM, Meffert L, Kaiser A, Wolke S, Pine DS, Stringaris A. Reward Processing in Depression: A Conceptual and Meta-Analytic Review Across fMRI and EEG Studies. Am J Psychiatry 2018; 175:1111-1120. [PMID: 29921146 PMCID: PMC6345602 DOI: 10.1176/appi.ajp.2018.17101124] [Citation(s) in RCA: 291] [Impact Index Per Article: 48.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
OBJECTIVE A role for aberrant reward processing in the pathogenesis of depression has long been proposed. However, no review has yet examined its role in depression by integrating conceptual and quantitative findings across functional MRI (fMRI) and EEG methodologies. The authors quantified these effects, with an emphasis on development. METHOD A total of 38 fMRI and 12 EEG studies were entered into fMRI and EEG meta-analyses. fMRI studies primarily examined reward anticipation and reward feedback. These were analyzed using the activation likelihood estimation method. EEG studies involved mainly the feedback-related negativity (FRN) event-related potential, and these studies were analyzed using random-effects meta-analysis of the association between FRN and depression. RESULTS Analysis of fMRI studies revealed significantly reduced striatal activation in depressed compared with healthy individuals during reward feedback. When region-of-interest analyses were included, reduced activation was also observed in reward anticipation, an effect that was stronger in individuals under age 18. FRN was also significantly reduced in depression, with pronounced effects in individuals under age 18. In longitudinal studies, reduced striatal activation in fMRI and blunted FRN in EEG were found to precede the onset of depression in adolescents. CONCLUSIONS Taken together, the findings show consistent neural aberrations during reward processing in depression, namely, reduced striatal signal during feedback and blunted FRN. These aberrations may underlie the pathogenesis of depression and have important implications for development of new treatments.
Collapse
Affiliation(s)
- Hanna Keren
- From the Mood, Brain, and Development Unit, the Section on Mood Dysregulation and Neuroscience, and the Section on Development and Affective Neuroscience, Emotion and Development Branch, NIMH, Bethesda, Md.; the Department of Human Development and Quantitative Methodology, University of Maryland, College Park; the Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil; and the Department of Child and Adolescent Psychiatry,
| | - Georgia O’Callaghan
- From the Mood, Brain, and Development Unit, the Section on Mood Dysregulation and Neuroscience, and the Section on Development and Affective Neuroscience, Emotion and Development Branch, NIMH, Bethesda, Md.; the Department of Human Development and Quantitative Methodology, University of Maryland, College Park; the Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil; and the Department of Child and Adolescent Psychiatry,
| | - Pablo Vidal-Ribas
- From the Mood, Brain, and Development Unit, the Section on Mood Dysregulation and Neuroscience, and the Section on Development and Affective Neuroscience, Emotion and Development Branch, NIMH, Bethesda, Md.; the Department of Human Development and Quantitative Methodology, University of Maryland, College Park; the Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil; and the Department of Child and Adolescent Psychiatry,
| | - George A. Buzzell
- From the Mood, Brain, and Development Unit, the Section on Mood Dysregulation and Neuroscience, and the Section on Development and Affective Neuroscience, Emotion and Development Branch, NIMH, Bethesda, Md.; the Department of Human Development and Quantitative Methodology, University of Maryland, College Park; the Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil; and the Department of Child and Adolescent Psychiatry,
| | - Melissa A. Brotman
- From the Mood, Brain, and Development Unit, the Section on Mood Dysregulation and Neuroscience, and the Section on Development and Affective Neuroscience, Emotion and Development Branch, NIMH, Bethesda, Md.; the Department of Human Development and Quantitative Methodology, University of Maryland, College Park; the Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil; and the Department of Child and Adolescent Psychiatry,
| | - Ellen Leibenluft
- From the Mood, Brain, and Development Unit, the Section on Mood Dysregulation and Neuroscience, and the Section on Development and Affective Neuroscience, Emotion and Development Branch, NIMH, Bethesda, Md.; the Department of Human Development and Quantitative Methodology, University of Maryland, College Park; the Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil; and the Department of Child and Adolescent Psychiatry,
| | - Pedro M. Pan
- From the Mood, Brain, and Development Unit, the Section on Mood Dysregulation and Neuroscience, and the Section on Development and Affective Neuroscience, Emotion and Development Branch, NIMH, Bethesda, Md.; the Department of Human Development and Quantitative Methodology, University of Maryland, College Park; the Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil; and the Department of Child and Adolescent Psychiatry,
| | - Liana Meffert
- From the Mood, Brain, and Development Unit, the Section on Mood Dysregulation and Neuroscience, and the Section on Development and Affective Neuroscience, Emotion and Development Branch, NIMH, Bethesda, Md.; the Department of Human Development and Quantitative Methodology, University of Maryland, College Park; the Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil; and the Department of Child and Adolescent Psychiatry,
| | - Ariela Kaiser
- From the Mood, Brain, and Development Unit, the Section on Mood Dysregulation and Neuroscience, and the Section on Development and Affective Neuroscience, Emotion and Development Branch, NIMH, Bethesda, Md.; the Department of Human Development and Quantitative Methodology, University of Maryland, College Park; the Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil; and the Department of Child and Adolescent Psychiatry,
| | - Selina Wolke
- From the Mood, Brain, and Development Unit, the Section on Mood Dysregulation and Neuroscience, and the Section on Development and Affective Neuroscience, Emotion and Development Branch, NIMH, Bethesda, Md.; the Department of Human Development and Quantitative Methodology, University of Maryland, College Park; the Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil; and the Department of Child and Adolescent Psychiatry,
| | - Daniel S. Pine
- From the Mood, Brain, and Development Unit, the Section on Mood Dysregulation and Neuroscience, and the Section on Development and Affective Neuroscience, Emotion and Development Branch, NIMH, Bethesda, Md.; the Department of Human Development and Quantitative Methodology, University of Maryland, College Park; the Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil; and the Department of Child and Adolescent Psychiatry,
| | - Argyris Stringaris
- From the Mood, Brain, and Development Unit, the Section on Mood Dysregulation and Neuroscience, and the Section on Development and Affective Neuroscience, Emotion and Development Branch, NIMH, Bethesda, Md.; the Department of Human Development and Quantitative Methodology, University of Maryland, College Park; the Department of Psychiatry, Laboratório Interdisciplinar de Neurociências Clínicas, Universidade Federal de São Paulo, São Paulo, Brazil; and the Department of Child and Adolescent Psychiatry,
| |
Collapse
|
16
|
Nagy GA, Cernasov P, Pisoni A, Walsh E, Dichter GS, Smoski MJ. Reward Network Modulation as a Mechanism of Change in Behavioral Activation. Behav Modif 2018; 44:186-213. [PMID: 30317863 DOI: 10.1177/0145445518805682] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Behavioral Activation (BA) is a contemporary third-wave psychosocial treatment approach that emphasizes helping individuals become more active in ways that are meaningful to them as a means of improving mood and quality of life. BA has been designated as a well-established, validated treatment for depression by the American Psychological Association following several decades of accumulated empirical support demonstrating that BA techniques successfully reduce depression symptoms and produce other desirable outcomes across a variety of populations and contexts. The purported mechanism of change underlying BA treatment lies in increasing activation, which in turn increases contact with positive reinforcement thereby reversing the cycle of depression. Current studies are further investigating how increasing activation and subsequent contact with mood reinforcers can influence mood and behavior. Specifically, there is growing evidence that BA modifies function of reward-related networks in the brain, and that these changes are associated with clinical improvement. Herein, we provide a brief history of BA, describe the primary components of BA treatment, and describe BA's purported mechanisms of change at behavioral, neural, and subjective activation levels. We present limitations as well as gaps in the current state of knowledge regarding mechanisms of action of BA.
Collapse
Affiliation(s)
| | - Paul Cernasov
- The University of North Carolina at Chapel Hill, NC, USA
| | | | - Erin Walsh
- The University of North Carolina at Chapel Hill, NC, USA
| | | | | |
Collapse
|
17
|
Rizvi SJ, Lambert C, Kennedy S. Presentation and Neurobiology of Anhedonia in Mood Disorders: Commonalities and Distinctions. Curr Psychiatry Rep 2018. [PMID: 29520717 DOI: 10.1007/s11920-018-0877-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
PURPOSE OF REVIEW To focus on the clinical and behavioral presentation of anhedonia in mood disorders, as well as the differences and commonalities in the underlying neurocircuitry. RECENT FINDINGS Evidence suggests that depression is characterized by hypofunction of the reward system, while bipolar disorder manifests dysregulation of the behavioral activation system that increases goal-directed reward behavior. Importantly, strong evidence does not exist to suggest significant differences in anhedonia severity between depressed unipolar and bipolar patients, suggesting that there are more nuanced fluctuations in reward processing deficits in bipolar patients depending on their state. Both euthymic unipolar and bipolar patients frequently report residual reward dysfunction, which highlights the potential of reward processing deficits that give rise to the clinical symptom of anhedonia to be trait factors of mood disorders; however, the possibility that therapies are not adequately treating anhedonia could also explain the presence of residual symptoms. Reward processing represents a potential diagnostic and treatment marker for mood disorders. Further research should systematically explore the facets of reward processing in at-risk, affected, and remitted patients.
Collapse
Affiliation(s)
- Sakina J Rizvi
- Li Ka Shing Knowledge Institute, Arthur Sommer Rotenberg Suicide and Depression Studies Unit, St. Michael's Hospital, University of Toronto, 193 Yonge St, 6-009, Toronto, ON, M5B 1M8, Canada. .,Department of Psychiatry, Institute of Medical Science, University of Toronto, Toronto, Canada.
| | - Clare Lambert
- Li Ka Shing Knowledge Institute, Arthur Sommer Rotenberg Suicide and Depression Studies Unit, St. Michael's Hospital, University of Toronto, 193 Yonge St, 6-009, Toronto, ON, M5B 1M8, Canada
| | - Sidney Kennedy
- Li Ka Shing Knowledge Institute, Arthur Sommer Rotenberg Suicide and Depression Studies Unit, St. Michael's Hospital, University of Toronto, 193 Yonge St, 6-009, Toronto, ON, M5B 1M8, Canada.,Department of Psychiatry, Institute of Medical Science, University of Toronto, Toronto, Canada
| |
Collapse
|
18
|
Abstract
Blunted reward response appears to be a trait-like marker of vulnerability for Major Depressive Disorder (MDD). As such, it should be present in remitted individuals; however, depression is a heterogeneous syndrome. Reward-related impairments may be more pronounced in individuals with melancholic depression. The present study examined neural responses to rewards in remitted melancholic depression (rMD; N = 29), remitted non-melancholic depression (rNMD; N = 56), and healthy controls (HC; N = 81). Event-related potentials to monetary gain and loss were recorded during a simple gambling paradigm. rMD was characterized by a blunted response to rewards relative to both the HC and the rNMD groups, who did not differ from one another. Moreover, the rMD and rNMD groups did not differ in course or severity of their past illnesses, or current depressive symptoms or functioning. Results suggest that blunted response to rewards may be a viable vulnerability marker for melancholic depression.
Collapse
|
19
|
Li J, Chen C, Wu K, Zhang M, Zhu B, Chen C, Moyzis RK, Dong Q. Genetic variations in the serotonergic system contribute to amygdala volume in humans. Front Neuroanat 2015; 9:129. [PMID: 26500508 PMCID: PMC4598478 DOI: 10.3389/fnana.2015.00129] [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: 07/13/2015] [Accepted: 09/17/2015] [Indexed: 11/13/2022] Open
Abstract
The amygdala plays a critical role in emotion processing and psychiatric disorders associated with emotion dysfunction. Accumulating evidence suggests that amygdala structure is modulated by serotonin-related genes. However, there is a gap between the small contributions of single loci (less than 1%) and the reported 63–65% heritability of amygdala structure. To understand the “missing heritability,” we systematically explored the contribution of serotonin genes on amygdala structure at the gene set level. The present study of 417 healthy Chinese volunteers examined 129 representative polymorphisms in genes from multiple biological mechanisms in the regulation of serotonin neurotransmission. A system-level approach using multiple regression analyses identified that nine SNPs collectively accounted for approximately 8% of the variance in amygdala volume. Permutation analyses showed that the probability of obtaining these findings by chance was low (p = 0.043, permuted for 1000 times). Findings showed that serotonin genes contribute moderately to individual differences in amygdala volume in a healthy Chinese sample. These results indicate that the system-level approach can help us to understand the genetic basis of a complex trait such as amygdala structure.
Collapse
Affiliation(s)
- Jin Li
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University Beijing, China ; Brainnetome Center, Institute of Automation, Chinese Academy of Sciences Beijing, China ; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China
| | - Chunhui Chen
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University Beijing, China ; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University Beijing, China
| | - Karen Wu
- Department of Psychology and Social Behavior, University of California, Irvine Irvine, CA, USA
| | - Mingxia Zhang
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences Beijing, China
| | - Bi Zhu
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University Beijing, China ; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University Beijing, China
| | - Chuansheng Chen
- Department of Psychology and Social Behavior, University of California, Irvine Irvine, CA, USA
| | - Robert K Moyzis
- Department of Biological Chemistry, University of California, Irvine Irvine, CA, USA ; Institute of Genomics and Bioinformatics, University of California, Irvine Irvine, CA, USA
| | - Qi Dong
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University Beijing, China ; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University Beijing, China
| |
Collapse
|