1
|
Wang W, Zhou E, Nie Z, Deng Z, Gong Q, Ma S, Kang L, Yao L, Cheng J, Liu Z. Exploring mechanisms of anhedonia in depression through neuroimaging and data-driven approaches. J Affect Disord 2024; 363:409-419. [PMID: 39038623 DOI: 10.1016/j.jad.2024.07.133] [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: 01/15/2024] [Revised: 07/05/2024] [Accepted: 07/16/2024] [Indexed: 07/24/2024]
Abstract
BACKGROUND Anhedonia is a core symptom of depression that is closely related to prognosis and treatment outcomes. However, accurate and efficient treatments for anhedonia are lacking, mandating a deeper understanding of the underlying mechanisms. METHODS A total of 303 patients diagnosed with depression and anhedonia were assessed by the Snaith-Hamilton Pleasure Scale (SHAPS) and magnetic resonance imaging (MRI). The patients were categorized into a low-anhedonia group and a high-anhedonia group using the K-means algorithm. A data-driven approach was used to explore the differences in brain structure and function with different degrees of anhedonia based on MATLAB. A random forest model was used exploratorily to test the predictive ability of differences in brain structure and function on anhedonia in depression. RESULTS Structural and functional differences were apparent in several brain regions of patients with depression and high-level anhedonia, including in the temporal lobe, paracingulate gyrus, superior frontal gyrus, inferior occipital gyrus, right insular gyrus, and superior parietal lobule. And changes in these brain regions were significantly correlated with scores of SHAPS. CONCLUSIONS These brain regions may be useful as biomarkers that provide a more objective assessment of anhedonia in depression, laying the foundation for precision medicine in this treatment-resistant, relatively poor prognosis group.
Collapse
Affiliation(s)
- Wei Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Enqi Zhou
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Zhaowen Nie
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Zipeng Deng
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Qian Gong
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Simeng Ma
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Lijun Kang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Lihua Yao
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Jing Cheng
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Zhongchun Liu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China; Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, China.
| |
Collapse
|
2
|
Martone A, Possidente C, Fanelli G, Fabbri C, Serretti A. Genetic factors and symptom dimensions associated with antidepressant treatment outcomes: clues for new potential therapeutic targets? Eur Arch Psychiatry Clin Neurosci 2024:10.1007/s00406-024-01873-1. [PMID: 39191930 DOI: 10.1007/s00406-024-01873-1] [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] [Received: 06/06/2024] [Accepted: 08/13/2024] [Indexed: 08/29/2024]
Abstract
Treatment response and resistance in major depressive disorder (MDD) show a significant genetic component, but previous studies had limited power also due to MDD heterogeneity. This literature review focuses on the genetic factors associated with treatment outcomes in MDD, exploring their overlap with those associated with clinically relevant symptom dimensions. We searched PubMed for: (1) genome-wide association studies (GWASs) or whole exome sequencing studies (WESs) that investigated efficacy outcomes in MDD; (2) studies examining the association between MDD treatment outcomes and specific depressive symptom dimensions; and (3) GWASs of the identified symptom dimensions. We identified 13 GWASs and one WES of treatment outcomes in MDD, reporting several significant loci, genes, and gene sets involved in gene expression, immune system regulation, synaptic transmission and plasticity, neurogenesis and differentiation. Nine symptom dimensions were associated with poor treatment outcomes and studied by previous GWASs (anxiety, neuroticism, anhedonia, cognitive functioning, melancholia, suicide attempt, psychosis, sleep, sociability). Four genes were associated with both treatment outcomes and these symptom dimensions: CGREF1 (anxiety); MCHR1 (neuroticism); FTO and NRXN3 (sleep). Other overlapping signals were found when considering genes suggestively associated with treatment outcomes. Genetic studies of treatment outcomes showed convergence at the level of biological processes, despite no replication at gene or variant level. The genetic signals overlapping with symptom dimensions of interest may point to shared biological mechanisms and potential targets for new treatments tailored to the individual patient's clinical profile.
Collapse
Affiliation(s)
- Alfonso Martone
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Viale Carlo Pepoli 5, 40123, Bologna, Italy
| | - Chiara Possidente
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Viale Carlo Pepoli 5, 40123, Bologna, Italy
| | - Giuseppe Fanelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Viale Carlo Pepoli 5, 40123, Bologna, Italy
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Chiara Fabbri
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Viale Carlo Pepoli 5, 40123, Bologna, Italy.
| | - Alessandro Serretti
- Department of Medicine and Surgery, Kore University of Enna, Enna, Italy
- Oasi Research Institute-IRCCS, Troina, Italy
| |
Collapse
|
3
|
Xiao J, Adkinson JA, Myers J, Allawala AB, Mathura RK, Pirtle V, Najera R, Provenza NR, Bartoli E, Watrous AJ, Oswalt D, Gadot R, Anand A, Shofty B, Mathew SJ, Goodman WK, Pouratian N, Pitkow X, Bijanki KR, Hayden B, Sheth SA. Beta activity in human anterior cingulate cortex mediates reward biases. Nat Commun 2024; 15:5528. [PMID: 39009561 PMCID: PMC11250824 DOI: 10.1038/s41467-024-49600-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 06/07/2024] [Indexed: 07/17/2024] Open
Abstract
The rewards that we get from our choices and actions can have a major influence on our future behavior. Understanding how reward biasing of behavior is implemented in the brain is important for many reasons, including the fact that diminution in reward biasing is a hallmark of clinical depression. We hypothesized that reward biasing is mediated by the anterior cingulate cortex (ACC), a cortical hub region associated with the integration of reward and executive control and with the etiology of depression. To test this hypothesis, we recorded neural activity during a biased judgment task in patients undergoing intracranial monitoring for either epilepsy or major depressive disorder. We found that beta (12-30 Hz) oscillations in the ACC predicted both associated reward and the size of the choice bias, and also tracked reward receipt, thereby predicting bias on future trials. We found reduced magnitude of bias in depressed patients, in whom the beta-specific effects were correspondingly reduced. Our findings suggest that ACC beta oscillations may orchestrate the learning of reward information to guide adaptive choice, and, more broadly, suggest a potential biomarker for anhedonia and point to future development of interventions to enhance reward impact for therapeutic benefit.
Collapse
Affiliation(s)
- Jiayang Xiao
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Joshua A Adkinson
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030, USA
| | - John Myers
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030, USA
| | | | - Raissa K Mathura
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Victoria Pirtle
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Ricardo Najera
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Nicole R Provenza
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Eleonora Bartoli
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Andrew J Watrous
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Denise Oswalt
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Ron Gadot
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Adrish Anand
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Ben Shofty
- Department of Neurosurgery, University of Utah, Salt Lake City, UT, 84112, USA
| | - Sanjay J Mathew
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Wayne K Goodman
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Nader Pouratian
- Department of Neurological Surgery, UT Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Xaq Pitkow
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, 77030, USA
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, 77005, USA
- Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Kelly R Bijanki
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Benjamin Hayden
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Sameer A Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, 77030, USA.
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, 77030, USA.
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, 77030, USA.
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, 77005, USA.
| |
Collapse
|
4
|
Kasyanov E, Pinakhina D, Rakitko A, Vergasova E, Yermakovich D, Rukavishnikov G, Malyshko L, Popov Y, Kovalenko E, Ilinskaya A, Kim A, Plotnikov N, Neznanov N, Ilinsky V, Kibitov A, Mazo G. Genetic Associations of Anhedonia: Insights into Overlap of Mental and Somatic Disorders. CONSORTIUM PSYCHIATRICUM 2024; 5:5-15. [PMID: 39072000 PMCID: PMC11272301 DOI: 10.17816/cp15494] [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: 01/10/2024] [Accepted: 05/08/2024] [Indexed: 07/30/2024] Open
Abstract
BACKGROUND Anhedonia is characterized by a reduced ability to anticipate, experience, and/or learn about pleasure. This phenomenon has a transdiagnostic nature and is one of the key symptoms of mood disorders, schizophrenia, addictions, and somatic conditions. AIM To evaluate the genetic architecture of anhedonia and its overlap with other mental disorders and somatic conditions. METHODS We performed a genome-wide association study of anhedonia on a sample of 4,520 individuals from a Russian non-clinical population. Using the available summary statistics, we calculated polygenic risk scores (PRS) to investigate the genetic relationship between anhedonia and other psychiatric or somatic phenotypes. RESULTS No variants with a genome-wide significant association were identified. PRS for major depression, bipolar disorder, and schizophrenia were significantly associated with anhedonia. Conversely, no significant associations were found between PRS for anxiety and anhedonia, which aligns well with existing clinical evidence. None of the PRS for somatic phenotypes attained a significance level after correction for multiple comparisons. A nominal significance for the anhedonia association was determined for omega-3 fatty acids, type 2 diabetes mellitus, and Crohn's disease. CONCLUSION Anhedonia has a complex polygenic architecture, and its presence in somatic diseases or normal conditions may be due to a genetic predisposition to mood disorders or schizophrenia.
Collapse
|
5
|
Nothdurfter D, Jawinski P, Markett S. White Matter Tract Integrity Is Reduced in Depression and in Individuals With Genetic Liability to Depression. Biol Psychiatry 2024; 95:1063-1071. [PMID: 38103877 DOI: 10.1016/j.biopsych.2023.11.028] [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: 02/20/2023] [Revised: 11/06/2023] [Accepted: 11/26/2023] [Indexed: 12/19/2023]
Abstract
BACKGROUND While major depression has been linked to changes in white matter architecture, it remains unclear whether risk factors for depression are directly associated with these alterations. We reexamined white matter fiber tracts in individuals with depressive symptoms and investigated the connection between genetic and environmental risk for depression and structural changes in the brain. METHODS We included 19,183 participants from the UK Biobank imaging cohort, with depression status and adverse life experience based on questionnaire data and genetic liability for depression quantified by polygenic scores. The integrity of 27 white matter tracts was assessed using mean fractional anisotropy derived from diffusion magnetic resonance imaging. RESULTS White matter integrity was reduced, particularly in thalamic and intracortical fiber tracts, in individuals with depressive symptoms, independent of current symptom status. In a group of healthy individuals without depression, increasing genetic risk and increasing environmental risk were associated with reduced integrity in relevant fiber tracts, particularly in thalamic radiations. This association was stronger than expected based on statistical dependencies between samples, as confirmed by subsequent in silico simulations and permutation tests. CONCLUSIONS White matter alterations in thalamic and association tracts are associated with depressive symptoms and genetic risk for depression in unaffected individuals, suggesting an intermediate phenotype at the brain level.
Collapse
Affiliation(s)
- David Nothdurfter
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Philippe Jawinski
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Sebastian Markett
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.
| |
Collapse
|
6
|
Nguyen NH, Mazza TM, Hess JL, Albert AB, Elfstrom S, Forken P, Blatt SD, Fremont WP, Faraone SV, Glatt SJ. Novel genome-wide associations for effort valuation and psychopathology in children and adults. Am J Med Genet B Neuropsychiatr Genet 2024; 195:e32964. [PMID: 37953388 PMCID: PMC11076170 DOI: 10.1002/ajmg.b.32964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 09/08/2023] [Accepted: 10/12/2023] [Indexed: 11/14/2023]
Abstract
The Research Domain Criteria (RDoC) initiative was established by the US National Institute of Mental Health as a multilevel, disorder-agnostic framework for analysis of human psychopathology through designated domains and constructs, including the "Positive Valence Systems" domain focused on reward-related behavior. This study investigates the reward valuation subconstruct of "effort" and its association with genetic markers, functional neurobiological pathways, and polygenic risk scores for psychopathology in 1215 children aged 6-12 and their parents (n = 1044). All participants completed the effort expenditure for rewards task (EEfRT), which assesses "effort" according to two quantitative measures: hard-task choice and reward sensitivity. Genetic association analyses were undertaken in MAGMA, utilizing EEfRT outcome variables as genome-wide association studies phenotypes to compute SNP and gene-level associations. Genome-wide association analyses found two distinct genetic loci that were significantly associated with measures of reward sensitivity and a separate genetic locus associated with hard task choice. Gene-set enrichment analysis yielded significant associations between "effort" and multiple gene sets involved in reward processing-related pathways, including dopamine receptor signaling, limbic system and forebrain development, and biological response to cocaine. These results serve to establish "effort" as a relevant construct for understanding reward-related behavior at the genetic level and support the RDoC framework for assessing disorder-agnostic psychopathology.
Collapse
Affiliation(s)
- Nicholas H. Nguyen
- Department of Psychiatry and Behavioral Sciences, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, New York USA
| | - T. Mitchell Mazza
- Department of Psychology, Syracuse University, Syracuse, New York USA
| | - Jonathan L. Hess
- Department of Psychiatry and Behavioral Sciences, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, New York USA
| | - Avery B. Albert
- Department of Psychiatry and Behavioral Sciences, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, New York USA
- Department of Psychology, Syracuse University, Syracuse, New York USA
| | - Sarah Elfstrom
- Department of Psychiatry and Behavioral Sciences, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, New York USA
| | - Patricia Forken
- Department of Psychiatry and Behavioral Sciences, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, New York USA
| | - Steven D. Blatt
- Department of Pediatrics, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, New York, USA
| | - Wanda P. Fremont
- Department of Psychiatry and Behavioral Sciences, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, New York USA
| | - Stephen V. Faraone
- Department of Psychiatry and Behavioral Sciences, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, New York USA
| | - Stephen J. Glatt
- Department of Psychiatry and Behavioral Sciences, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, New York USA
| |
Collapse
|
7
|
Fanelli G, Robinson J, Fabbri C, Bralten J, Roth Mota N, Arenella M, Sprooten E, Franke B, Kas M, Andlauer TFM, Serretti A. Shared genetics linking sociability with the brain's default mode network. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.24.24307883. [PMID: 38826220 PMCID: PMC11142265 DOI: 10.1101/2024.05.24.24307883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
The brain's default mode network (DMN) plays a role in social cognition, with altered DMN function being associated with social impairments across various neuropsychiatric disorders. In the present study, we examined the genetic relationship between sociability and DMN-related resting-state functional magnetic resonance imaging (rs-fMRI) traits. To this end, we used genome-wide association summary statistics for sociability and 31 activity and 64 connectivity DMN-related rs-fMRI traits (N=34,691-342,461). First, we examined global and local genetic correlations between sociability and the rs-fMRI traits. Second, to assess putatively causal relationships between the traits, we conducted bi-directional Mendelian randomisation (MR) analyses. Finally, we prioritised genes influencing both sociability and rs-fMRI traits by combining three methods: gene-expression eQTL MR analyses, the CELLECT framework using single-nucleus RNA-seq data, and network propagation in the context of a protein-protein interaction network. Significant local genetic correlations were found between sociability and two rs-fMRI traits, one representing spontaneous activity within the temporal cortex, the other representing connectivity between the frontal/cingulate and angular/temporal cortices. Sociability affected 12 rs-fMRI traits when allowing for weakly correlated genetic instruments. Combing all three methods for gene prioritisation, we defined 17 highly prioritised genes, with DRD2 and LINGO1 showing the most robust evidence across all analyses. By integrating genetic and transcriptomics data, our gene prioritisation strategy may serve as a blueprint for future studies. The prioritised genes could be explored as potential biomarkers for social dysfunction in the context of neuropsychiatric disorders and as drug target genes.
Collapse
Affiliation(s)
- Giuseppe Fanelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jamie Robinson
- Global Computational Biology and Data Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany
| | - Chiara Fabbri
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Janita Bralten
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Nina Roth Mota
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Martina Arenella
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, UK
| | - Emma Sprooten
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Barbara Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Martien Kas
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, The Netherlands
| | - Till FM Andlauer
- Global Computational Biology and Data Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
- Department of Medicine and Surgery, Kore University of Enna, Enna, Italy
| |
Collapse
|
8
|
Zhang B, Rolls ET, Wang X, Xie C, Cheng W, Feng J. Roles of the medial and lateral orbitofrontal cortex in major depression and its treatment. Mol Psychiatry 2024; 29:914-928. [PMID: 38212376 DOI: 10.1038/s41380-023-02380-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 12/06/2023] [Accepted: 12/13/2023] [Indexed: 01/13/2024]
Abstract
We describe evidence for dissociable roles of the medial and lateral orbitofrontal cortex (OFC) in major depressive disorder (MDD) from structure, functional activation, functional connectivity, metabolism, and neurochemical systems. The reward-related medial orbitofrontal cortex has lower connectivity and less reward sensitivity in MDD associated with anhedonia symptoms; and the non-reward related lateral OFC has higher functional connectivity and more sensitivity to non-reward/aversive stimuli in MDD associated with negative bias symptoms. Importantly, we propose that conventional antidepressants act to normalize the hyperactive lateral (but not medial) OFC to reduce negative bias in MDD; while other treatments are needed to operate on the medial OFC to reduce anhedonia, with emerging evidence suggesting that ketamine may act in this way. The orbitofrontal cortex is the key cortical region in emotion and reward, and the current review presents much new evidence about the different ways that the medial and lateral OFC are involved in MDD.
Collapse
Affiliation(s)
- Bei Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, PR China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, PR China
| | - Edmund T Rolls
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, PR China.
- Oxford Centre for Computational Neuroscience, Oxford, UK.
- Department of Computer Science, University of Warwick, Coventry, UK.
| | - Xiang Wang
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, PR China
- Medical Psychological Institute, Central South University, Changsha, PR China
- China National Clinical Research Center on Mental Disorders (Xiangya), Changsha, PR China
| | - Chao Xie
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, PR China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, PR China
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, PR China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, PR China.
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, PR China.
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, PR China.
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, PR China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, PR China.
- Department of Computer Science, University of Warwick, Coventry, UK.
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, PR China.
- Zhangjiang Fudan International Innovation Center, Shanghai, PR China.
| |
Collapse
|
9
|
Greš A, Šagud M, Dickov A. The effect of vortioxetine on anhedonia in patients with schizophrenia. Int J Psychiatry Med 2024; 59:139-152. [PMID: 37647498 DOI: 10.1177/00912174231199925] [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] [Indexed: 09/01/2023]
Abstract
OBJECTIVE Anhedonia is a common symptom of depression, but is also a negative symptom of schizophrenia. The purpose of this study was to examine the effects of vortioxetine on anhedonia in patients with schizophrenia. METHODS A total of 120 patients with schizophrenia in remission who met inclusion criteria were randomized 1:1 by the envelope method into intervention and control groups. All participants in both groups were divided into three subgroups based on the antipsychotic therapy they were receiving (olanzapine, risperidone, or aripiprazole). Vortioxetine was administered to those in the intervention group at a fixed dose of 10 mg per day. The Positive and Negative Syndrome Scale (PANSS), Calgary Depression Scale for Schizophrenia (CDSS), and Chapman Scale for Social and Physical Anhedonia (CSPA) were administered. The study lasted 12 weeks. Participants were assessed twice: At baseline and at the end of the study. Six participants dropped out, with 114 completing the trial. FINDINGS Vortioxetine treatment had a significant effect on level of physical anhedonia. The treatment interaction was also statistically significant, but with a relatively small effect (F = 3.17, P < .05; η2 = .061). Vortioxetine treatment had a particularly strong effect on the level of social anhedonia. The interaction between the treatment and the type of antipsychotics was also statistically significant with a small effect (F = 5.04, P < 0. 01; η2 = .091). CONCLUSION The combination of olanzapine and vortioxetine was found to be the best option to reduce symptoms of social and physical anhedonia in these patients with remitted schizophrenia.
Collapse
Affiliation(s)
- Alen Greš
- Department of Psychiatry and Psychological Medicine, University Hospital Center Zagreb, Zagreb, Croatia
| | - Marina Šagud
- Department of Psychiatry and Psychological Medicine, University Hospital Center Zagreb, Zagreb, Croatia
| | - Aleksandra Dickov
- Department of Psychiatry, University Clinical Center of Vojvodina, Novi Sad, Serbia
| |
Collapse
|
10
|
Treccarichi S, Failla P, Vinci M, Musumeci A, Gloria A, Vasta A, Calabrese G, Papa C, Federico C, Saccone S, Calì F. UNC5C: Novel Gene Associated with Psychiatric Disorders Impacts Dysregulation of Axon Guidance Pathways. Genes (Basel) 2024; 15:306. [PMID: 38540364 PMCID: PMC10970690 DOI: 10.3390/genes15030306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 02/23/2024] [Accepted: 02/25/2024] [Indexed: 06/14/2024] Open
Abstract
The UNC-5 family of netrin receptor genes, predominantly expressed in brain tissues, plays a pivotal role in various neuronal processes. Mutations in genes involved in axon development contribute to a wide spectrum of human diseases, including developmental, neuropsychiatric, and neurodegenerative disorders. The NTN1/DCC signaling pathway, interacting with UNC5C, plays a crucial role in central nervous system axon guidance and has been associated with psychiatric disorders during adolescence in humans. Whole-exome sequencing analysis unveiled two compound heterozygous causative mutations within the UNC5C gene in a patient diagnosed with psychiatric disorders. In silico analysis demonstrated that neither of the observed variants affected the allosteric linkage between UNC5C and NTN1. In fact, these mutations are located within crucial cytoplasmic domains, specifically ZU5 and the region required for the netrin-mediated axon repulsion of neuronal growth cones. These domains play a critical role in forming the supramodular protein structure and directly interact with microtubules, thereby ensuring the functionality of the axon repulsion process. We emphasize that these mutations disrupt the aforementioned processes, thereby associating the UNC5C gene with psychiatric disorders for the first time and expanding the number of genes related to psychiatric disorders. Further research is required to validate the correlation of the UNC5C gene with psychiatric disorders, but we suggest including it in the genetic analysis of patients with psychiatric disorders.
Collapse
Affiliation(s)
- Simone Treccarichi
- Oasi Research Institute-IRCCS, 94018 Troina, Italy; (S.T.); (P.F.); (M.V.); (A.M.); (A.G.); (A.V.); (G.C.); (C.P.); (F.C.)
| | - Pinella Failla
- Oasi Research Institute-IRCCS, 94018 Troina, Italy; (S.T.); (P.F.); (M.V.); (A.M.); (A.G.); (A.V.); (G.C.); (C.P.); (F.C.)
| | - Mirella Vinci
- Oasi Research Institute-IRCCS, 94018 Troina, Italy; (S.T.); (P.F.); (M.V.); (A.M.); (A.G.); (A.V.); (G.C.); (C.P.); (F.C.)
| | - Antonino Musumeci
- Oasi Research Institute-IRCCS, 94018 Troina, Italy; (S.T.); (P.F.); (M.V.); (A.M.); (A.G.); (A.V.); (G.C.); (C.P.); (F.C.)
| | - Angelo Gloria
- Oasi Research Institute-IRCCS, 94018 Troina, Italy; (S.T.); (P.F.); (M.V.); (A.M.); (A.G.); (A.V.); (G.C.); (C.P.); (F.C.)
| | - Anna Vasta
- Oasi Research Institute-IRCCS, 94018 Troina, Italy; (S.T.); (P.F.); (M.V.); (A.M.); (A.G.); (A.V.); (G.C.); (C.P.); (F.C.)
| | - Giuseppe Calabrese
- Oasi Research Institute-IRCCS, 94018 Troina, Italy; (S.T.); (P.F.); (M.V.); (A.M.); (A.G.); (A.V.); (G.C.); (C.P.); (F.C.)
| | - Carla Papa
- Oasi Research Institute-IRCCS, 94018 Troina, Italy; (S.T.); (P.F.); (M.V.); (A.M.); (A.G.); (A.V.); (G.C.); (C.P.); (F.C.)
| | - Concetta Federico
- Department Biological, Geological and Environmental Sciences, University of Catania, Via Androne 81, 95124 Catania, Italy;
| | - Salvatore Saccone
- Department Biological, Geological and Environmental Sciences, University of Catania, Via Androne 81, 95124 Catania, Italy;
| | - Francesco Calì
- Oasi Research Institute-IRCCS, 94018 Troina, Italy; (S.T.); (P.F.); (M.V.); (A.M.); (A.G.); (A.V.); (G.C.); (C.P.); (F.C.)
| |
Collapse
|
11
|
Waszczuk MA, Jonas KG, Bornovalova M, Breen G, Bulik CM, Docherty AR, Eley TC, Hettema JM, Kotov R, Krueger RF, Lencz T, Li JJ, Vassos E, Waldman ID. Dimensional and transdiagnostic phenotypes in psychiatric genome-wide association studies. Mol Psychiatry 2023; 28:4943-4953. [PMID: 37402851 PMCID: PMC10764644 DOI: 10.1038/s41380-023-02142-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 05/17/2023] [Accepted: 06/16/2023] [Indexed: 07/06/2023]
Abstract
Genome-wide association studies (GWAS) provide biological insights into disease onset and progression and have potential to produce clinically useful biomarkers. A growing body of GWAS focuses on quantitative and transdiagnostic phenotypic targets, such as symptom severity or biological markers, to enhance gene discovery and the translational utility of genetic findings. The current review discusses such phenotypic approaches in GWAS across major psychiatric disorders. We identify themes and recommendations that emerge from the literature to date, including issues of sample size, reliability, convergent validity, sources of phenotypic information, phenotypes based on biological and behavioral markers such as neuroimaging and chronotype, and longitudinal phenotypes. We also discuss insights from multi-trait methods such as genomic structural equation modelling. These provide insight into how hierarchical 'splitting' and 'lumping' approaches can be applied to both diagnostic and dimensional phenotypes to model clinical heterogeneity and comorbidity. Overall, dimensional and transdiagnostic phenotypes have enhanced gene discovery in many psychiatric conditions and promises to yield fruitful GWAS targets in the years to come.
Collapse
Affiliation(s)
- Monika A Waszczuk
- Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA.
| | - Katherine G Jonas
- Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, NY, USA
| | | | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- UK National Institute for Health and Care Research (NIHR) Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK
| | - Cynthia M Bulik
- Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anna R Docherty
- Huntsman Mental Health Institute, Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Thalia C Eley
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- UK National Institute for Health and Care Research (NIHR) Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK
| | - John M Hettema
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
- Department of Psychiatry, Texas A&M Health Sciences Center, Bryan, TX, USA
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, NY, USA
| | - Robert F Krueger
- Psychology Department, University of Minnesota, Minneapolis, MN, USA
| | - Todd Lencz
- Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Psychiatry, Division of Research, The Zucker Hillside Hospital Division of Northwell Health, Glen Oaks, NY, USA
- Institute for Behavioral Science, The Feinstein Institutes for Medical Research, Manhasset, NY, USA
| | - James J Li
- Department of Psychology, University of Wisconsin, Madison, WI, USA
- Waisman Center, University of Wisconsin, Madison, WI, USA
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- UK National Institute for Health and Care Research (NIHR) Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK
| | - Irwin D Waldman
- Department of Psychology, Emory University, Atlanta, GA, USA
- Center for Computational and Quantitative Genetics, Emory University, Atlanta, GA, USA
| |
Collapse
|
12
|
Ward J, Le NQ, Suryakant S, Brody JA, Amouyel P, Boland A, Bown R, Cullen B, Debette S, Deleuze JF, Emmerich J, Graham N, Germain M, Anderson JJ, Pell JP, Lyall DM, Lyall LM, Smith DJ, Wiggins KL, Soria JM, Souto JC, Morange PE, Smith NL, Trégouët DA, Sabater-Lleal M, Strawbridge RJ. Polygenic risk of major depressive disorder as a risk factor for venous thromboembolism. Blood Adv 2023; 7:5341-5350. [PMID: 37399490 PMCID: PMC10506044 DOI: 10.1182/bloodadvances.2023010562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 05/17/2023] [Accepted: 06/16/2023] [Indexed: 07/05/2023] Open
Abstract
Major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SCZ) are associated with an increased risk of cardiovascular diseases, including venous thromboembolism (VTE). The reasons for this are complex and include obesity, smoking, and use of hormones and psychotropic medications. Genetic studies have increasingly provided evidence of the shared genetic risk of psychiatric and cardiometabolic illnesses. This study aimed to determine whether a genetic predisposition to MDD, BD, or SCZ is associated with an increased risk of VTE. Genetic correlations using the largest genome-wide genetic meta-analyses summary statistics for MDD, BD, and SCZ (Psychiatric Genetics Consortium) and a recent genome-wide genetic meta-analysis of VTE (INVENT Consortium) demonstrated a positive association between VTE and MDD but not BD or SCZ. The same summary statistics were used to construct polygenic risk scores for MDD, BD, and SCZ in UK Biobank participants of self-reported White British ancestry. These were assessed for impact on self-reported VTE risk (10 786 cases, 285 124 controls), using logistic regression, in sex-specific and sex-combined analyses. We identified significant positive associations between polygenic risk for MDD and the risk of VTE in men, women, and sex-combined analyses, independent of the known risk factors. Secondary analyses demonstrated that this association was not driven by those with lifetime experience of mental illness. Meta-analyses of individual data from 6 additional independent cohorts replicated the sex-combined association. This report provides evidence for shared biological mechanisms leading to MDD and VTE and suggests that, in the absence of genetic data, a family history of MDD might be considered when assessing the risk of VTE.
Collapse
Affiliation(s)
- Joey Ward
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Ngoc-Quynh Le
- Genomics of Complex Disease Unit, Institut d’Investigació Biomèdica Sant Pau, Barcelona, Spain
| | - Suryakant Suryakant
- University of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR 1219, Bordeaux, France
| | - Jennifer A. Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Philippe Amouyel
- University of Lille, INSERM, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE-Facteurs de Risque et Déterminants Moléculaires des Maladies Liées au Vieillissement, Lille, France
| | - Anne Boland
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, Evry, France
- Laboratory of Excellence in Medical Genomics, GENMED, Evry, France
| | - Rosemary Bown
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom
| | - Breda Cullen
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Stéphanie Debette
- University of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR 1219, Bordeaux, France
| | - Jean-François Deleuze
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, Evry, France
- Laboratory of Excellence in Medical Genomics, GENMED, Evry, France
- Centre d’Etude du Polymorphisme Humain, Fondation Jean Dausset, Paris, France
| | - Joseph Emmerich
- Department of Vascular Medicine, Paris Saint-Joseph Hospital Group, University of Paris, Paris, France
- UMR1153, INSERM CRESS, Paris, France
| | - Nicholas Graham
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Marine Germain
- University of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR 1219, Bordeaux, France
| | - Jana J. Anderson
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Jill P. Pell
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Donald M. Lyall
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Laura M. Lyall
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
- Laboratory of Excellence in Medical Genomics, GENMED, Evry, France
| | - Daniel J. Smith
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Kerri L. Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - José Manuel Soria
- Genomics of Complex Disease Unit, Institut d’Investigació Biomèdica Sant Pau, Barcelona, Spain
| | - Juan Carlos Souto
- Unitat d’Hemostàsia i Trombosi, Institut d’Investigació Biomèdica Sant Pau, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Pierre-Emmanuel Morange
- Aix-Marseille University, INSERM, INRAE, Centre de Recherche en CardioVasculaire et Nutrition, Laboratory of Haematology, CRB Assistance Publique – Hôpitaux de Marseille, HemoVasc, Marseille, France
| | - Nicholas L. Smith
- Department of Epidemiology, University of Washington, Seattle, WA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA
- Department of Veterans Affairs Office of Research and Development, Seattle Epidemiologic Research and Information Center, Seattle, WA
| | - David-Alexandre Trégouët
- University of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR 1219, Bordeaux, France
| | - Maria Sabater-Lleal
- Genomics of Complex Disease Unit, Institut d’Investigació Biomèdica Sant Pau, Barcelona, Spain
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden
| | - Rona J. Strawbridge
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden
- Health Data Research UK, Glasgow, United Kingdom
| |
Collapse
|
13
|
Boyle CC, Bower JE, Eisenberger NI, Irwin MR. Stress to inflammation and anhedonia: Mechanistic insights from preclinical and clinical models. Neurosci Biobehav Rev 2023; 152:105307. [PMID: 37419230 DOI: 10.1016/j.neubiorev.2023.105307] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 06/30/2023] [Accepted: 07/04/2023] [Indexed: 07/09/2023]
Abstract
Anhedonia, as evidenced by impaired pleasurable response to reward, reduced reward motivation, and/or deficits in reward-related learning, is a common feature of depression. Such deficits in reward processing are also an important clinical target as a risk factor for depression onset. Unfortunately, reward-related deficits remain difficult to treat. To address this gap and inform the development of effective prevention and treatment strategies, it is critical to understand the mechanisms that drive impairments in reward function. Stress-induced inflammation is a plausible mechanism of reward deficits. The purpose of this paper is to review evidence for two components of this psychobiological pathway: 1) the effects of stress on reward function; and 2) the effects of inflammation on reward function. Within these two areas, we draw upon preclinical and clinical models, distinguish between acute and chronic effects of stress and inflammation, and address specific domains of reward dysregulation. By addressing these contextual factors, the review reveals a nuanced literature which might be targeted for additional scientific inquiry to inform the development of precise interventions.
Collapse
Affiliation(s)
- Chloe C Boyle
- Norman Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, UCLA, USA.
| | - Julienne E Bower
- Norman Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, UCLA, USA; Department of Psychology, UCLA, Los Angeles, CA, USA
| | | | - Michael R Irwin
- Norman Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, UCLA, USA
| |
Collapse
|
14
|
Serretti A. Anhedonia and Depressive Disorders. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE : THE OFFICIAL SCIENTIFIC JOURNAL OF THE KOREAN COLLEGE OF NEUROPSYCHOPHARMACOLOGY 2023; 21:401-409. [PMID: 37424409 PMCID: PMC10335915 DOI: 10.9758/cpn.23.1086] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 05/01/2023] [Indexed: 07/11/2023]
Abstract
Anhedonia is a core symptom of depression and of several psychiatric disorders. Anhedonia has however expanded from its original definition to encompass a spectrum of reward processing deficits that received much interest in the last decades. It is a relevant risk factor for possible suicidal behaviors, and that it may operate as an independent risk factor for suicidality apart from the episode severity. Anhedonia has also been linked to inflammation with a possible reciprocal deleterious effect on depression. Its neurophysiological bases mainly include alterations in striatal and prefrontal areas, with dopamine being the most involved neurotransmitter. Anhedonia is thought to have a significant genetic component and polygenic risk scores are a possible tool for predicting an individual's risk for developing anhedonia. Traditional antidepressants, such as selective serotonin reuptake inhibitors, showed a limited benefit on anhedonia, also considering their potential pro-anhedonic effect in some subjects. Other treatments may be more effective in treating anhedonia, such as agomelatine, vortioxetine, ketamine and transcranial magnetic stimulation. Psychotherapy is also widely supported, with cognitive-behavioral therapy and behavioral activation both showing benefit. In conclusion, a large body of evidence suggests that anhedonia is, at least partially, independent from depression, therefore it needs careful assessment and targeted treatment.
Collapse
Affiliation(s)
- Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| |
Collapse
|
15
|
Scala JJ, Ganz AB, Snyder MP. Precision Medicine Approaches to Mental Health Care. Physiology (Bethesda) 2023; 38:0. [PMID: 36099270 PMCID: PMC9870582 DOI: 10.1152/physiol.00013.2022] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 08/08/2022] [Accepted: 09/12/2022] [Indexed: 02/04/2023] Open
Abstract
Developing a more comprehensive understanding of the physiological underpinnings of mental illness, precision medicine has the potential to revolutionize psychiatric care. With recent breakthroughs in next-generation multi-omics technologies and data analytics, it is becoming more feasible to leverage multimodal biomarkers, from genetic variants to neuroimaging biomarkers, to objectify diagnostics and treatment decisions in psychiatry and improve patient outcomes. Ongoing work in precision psychiatry will parallel progress in precision oncology and cardiology to develop an expanded suite of blood- and neuroimaging-based diagnostic tests, empower monitoring of treatment efficacy over time, and reduce patient exposure to ineffective treatments. The emerging model of precision psychiatry has the potential to mitigate some of psychiatry's most pressing issues, including improving disease classification, lengthy treatment duration, and suboptimal treatment outcomes. This narrative-style review summarizes some of the emerging breakthroughs and recurring challenges in the application of precision medicine approaches to mental health care.
Collapse
Affiliation(s)
- Jack J Scala
- Department of Genetics, Stanford University, Stanford, California
| | - Ariel B Ganz
- Department of Genetics, Stanford University, Stanford, California
| | - Michael P Snyder
- Department of Genetics, Stanford University, Stanford, California
| |
Collapse
|
16
|
Kasyanov ED, Pinakhina DV, Rakitko AS, Vergasova EO, Yermakovich DP, Rukavishnikov GV, Malyshko LV, Popov YV, Kovalenko EV, Ilinskaya AY, Kim AA, Plotnikov NA, Neznanov NG, Ilinsky VV, Kibitov AO, Mazo GE. [Anhedonia in mood disorders and somatic diseases: results of exploratory Mendelian randomization analysis]. Zh Nevrol Psikhiatr Im S S Korsakova 2023; 123:65-73. [PMID: 37141131 DOI: 10.17116/jnevro202312304265] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
OBJECTIVE To conduct an exploratory Mendelian randomization analysis of the causal relationships of anhedonia with a wide range of psychiatric and somatic phenotypes based on the genetic data of participants in a population study. MATERIAL AND METHODS This cross-sectional study included 4520 participants, of which 50.4% (n=2280) were female. The mean age was 36.8 (S.D.=9.8) years. Participants were pheno-nailed based on the DSM-5 criteria for anhedonia in the framework of depression. An episode of anhedonia exceeding 2 weeks during life was reported by 57.6% (n=2604) of participants. A genome-wide association study (GWAS) of the anhedonia phenotype was performed, as well as a Mendelian randomization analysis using summary statistics of large-scale GWASs on psychiatric and somatic phenotypes. RESULTS The GWAS on anhedonia did not reveal the variants with genome-wide significant association (p<10-8). The most significant (p=9.71×10-7) was the variant rs296009 (chr5:168513184) in an intron of the slit guidance ligand 3 (SLIT3) gene. Using Mendelian randomization, nominally significant (p<0.05) causal associations of anhedonia with 24 phenotypes were identified, which can be divided into 5 main groups: psychiatric/neurological diseases, inflammatory diseases of the digestive system, respiratory diseases, oncological diseases and metabolic disorders. The most significant causal effects of anhedonia were found for breast cancer (p=0.0004, OR=0.9986, 95% confidence interval (CI) (0.9978-0.999)), minimal depression phenotype (p=0.009, OR=1.004, 95% CI (1.001-1.007)), as well as for apolipoprotein A (p=0.01, OR=0.973, 95% CI (0.952-0.993)) and respiratory diseases (p=0.01, OR=0.9988, 95% CI (0.9980-0.9997)). CONCLUSION The polygenic nature of anhedonia may cause the risks of comorbidity of this phenotype with a wide range of somatic diseases, as well as may be associated with mood disorders.
Collapse
Affiliation(s)
- E D Kasyanov
- Bekhterev National Medical Research Center for Psychiatry and Neurology, St. Petersburg, Russia
| | - D V Pinakhina
- Bekhterev National Medical Research Center for Psychiatry and Neurology, St. Petersburg, Russia
- ITMO University, St. Petersburg, Russia
| | - A S Rakitko
- Bekhterev National Medical Research Center for Psychiatry and Neurology, St. Petersburg, Russia
- Genotek Ltd., Moscow, Russia
| | | | | | - G V Rukavishnikov
- Bekhterev National Medical Research Center for Psychiatry and Neurology, St. Petersburg, Russia
| | - L V Malyshko
- Bekhterev National Medical Research Center for Psychiatry and Neurology, St. Petersburg, Russia
| | | | | | | | - A A Kim
- Genotek Ltd., Moscow, Russia
| | | | - N G Neznanov
- Bekhterev National Medical Research Center for Psychiatry and Neurology, St. Petersburg, Russia
- Pavlov First Saint-Petersburg State Medical University, St. Petersburg, Russia
| | - V V Ilinsky
- Bekhterev National Medical Research Center for Psychiatry and Neurology, St. Petersburg, Russia
- Genotek Ltd., Moscow, Russia
| | - A O Kibitov
- Bekhterev National Medical Research Center for Psychiatry and Neurology, St. Petersburg, Russia
| | - G E Mazo
- Bekhterev National Medical Research Center for Psychiatry and Neurology, St. Petersburg, Russia
| |
Collapse
|
17
|
Kobeleva X, Varoquaux G, Dagher A, Adhikari M, Grefkes C, Gilson M. Advancing brain network models to reconcile functional neuroimaging and clinical research. Neuroimage Clin 2022; 36:103262. [PMID: 36451365 PMCID: PMC9723311 DOI: 10.1016/j.nicl.2022.103262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 10/26/2022] [Accepted: 11/06/2022] [Indexed: 11/09/2022]
Abstract
Functional magnetic resonance imaging (fMRI) captures information on brain function beyond the anatomical alterations that are traditionally visually examined by neuroradiologists. However, the fMRI signals are complex in addition to being noisy, so fMRI still faces limitations for clinical applications. Here we review methods that have been proposed as potential solutions so far, namely statistical, biophysical and decoding models, with their strengths and weaknesses. We especially evaluate the ability of these models to directly predict clinical variables from their parameters (predictability) and to extract clinically relevant information regarding biological mechanisms and relevant features for classification and prediction (interpretability). We then provide guidelines for useful applications and pitfalls of such fMRI-based models in a clinical research context, looking beyond the current state of the art. In particular, we argue that the clinical relevance of fMRI calls for a new generation of models for fMRI data, which combine the strengths of both biophysical and decoding models. This leads to reliable and biologically meaningful model parameters, which thus fulfills the need for simultaneous interpretability and predictability. In our view, this synergy is fundamental for the discovery of new pharmacological and interventional targets, as well as the use of models as biomarkers in neurology and psychiatry.
Collapse
Affiliation(s)
- Xenia Kobeleva
- Department of Neurology, University of Bonn, Bonn, Germany; German Center for Neurodegenerative Diseases (DZNE) Bonn, Bonn, Germany
| | | | - Alain Dagher
- Montreal Neurological Institute, McGill University, Montréal, Canada
| | - Mohit Adhikari
- Bio-imaging Lab, University of Antwerp, Antwerp, Belgium
| | - Christian Grefkes
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany; Institute of Neuroscience and Medicine (INM-1, INM-3), Research Centre Juelich, Juelich, Germany; Department of Neurology, Goethe University Frankfurt, Frankfurt, Germany
| | - Matthieu Gilson
- Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany; Center for Brain and Cognition, Department of Information and Telecommunication Technologies, Universitat Pompeu Fabra, Barcelona, Spain; Institut de Neurosciences des Systèmes, Aix-Marseille University, Marseille, France.
| |
Collapse
|
18
|
Souther MK, Wolf DH, Kazinka R, Lee S, Ruparel K, Elliott MA, Xu A, Cieslak M, Prettyman G, Satterthwaite TD, Kable JW. Decision value signals in the ventromedial prefrontal cortex and motivational and hedonic symptoms across mood and psychotic disorders. Neuroimage Clin 2022; 36:103227. [PMID: 36242852 PMCID: PMC9668619 DOI: 10.1016/j.nicl.2022.103227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 10/05/2022] [Accepted: 10/08/2022] [Indexed: 11/11/2022]
Abstract
Deficits in motivation and pleasure are common across many psychiatric disorders, and manifest as symptoms of amotivation and anhedonia, which are prominent features of both mood and psychotic disorders. Here we provide evidence for an association between neural value signals and symptoms of amotivation and anhedonia across adults with major depression, bipolar disorder, schizophrenia, or no psychiatric diagnosis. We found that value signals in the ventromedial prefrontal cortex (vmPFC) during intertemporal decision-making were dampened in individuals with greater motivational and hedonic deficits, after accounting for primary diagnosis. This relationship remained significant while controlling for diagnosis-specific symptoms of mood and psychosis, such as depression as well as positive and negative symptoms. Our results demonstrate that dysfunction in the vmPFC during value-based decision-making is specifically linked to motivational and hedonic impairments. These findings provide a quantitative neural target for the potential development of novel treatments for amotivation and anhedonia.
Collapse
Affiliation(s)
- Min K Souther
- Department of Psychology, University of Pennsylvania, US.
| | - Daniel H Wolf
- Department of Psychiatry, Perelman School of Medicine, US
| | - Rebecca Kazinka
- Department of Psychology, University of Pennsylvania, US; Department of Psychiatry, University of Minnesota, US
| | - Sangil Lee
- Department of Psychology, University of Pennsylvania, US
| | - Kosha Ruparel
- Department of Psychiatry, Perelman School of Medicine, US
| | | | - Anna Xu
- Department of Psychiatry, Perelman School of Medicine, US
| | | | | | - Theodore D Satterthwaite
- Department of Psychiatry, Perelman School of Medicine, US; Penn-CHOP Lifespan Brain Institute, US
| | - Joseph W Kable
- Department of Psychology, University of Pennsylvania, US
| |
Collapse
|
19
|
Trendafilova T, Adhikari K, Schmid AB, Patel R, Polgár E, Chisholm KI, Middleton SJ, Boyle K, Dickie AC, Semizoglou E, Perez-Sanchez J, Bell AM, Ramirez-Aristeguieta LM, Khoury S, Ivanov A, Wildner H, Ferris E, Chacón-Duque JC, Sokolow S, Saad Boghdady MA, Herchuelz A, Faux P, Poletti G, Gallo C, Rothhammer F, Bedoya G, Zeilhofer HU, Diatchenko L, McMahon SB, Todd AJ, Dickenson AH, Ruiz-Linares A, Bennett DL. Sodium-calcium exchanger-3 regulates pain "wind-up": From human psychophysics to spinal mechanisms. Neuron 2022; 110:2571-2587.e13. [PMID: 35705078 PMCID: PMC7613464 DOI: 10.1016/j.neuron.2022.05.017] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 03/31/2022] [Accepted: 05/16/2022] [Indexed: 11/17/2022]
Abstract
Repeated application of noxious stimuli leads to a progressively increased pain perception; this temporal summation is enhanced in and predictive of clinical pain disorders. Its electrophysiological correlate is "wind-up," in which dorsal horn spinal neurons increase their response to repeated nociceptor stimulation. To understand the genetic basis of temporal summation, we undertook a GWAS of wind-up in healthy human volunteers and found significant association with SLC8A3 encoding sodium-calcium exchanger type 3 (NCX3). NCX3 was expressed in mouse dorsal horn neurons, and mice lacking NCX3 showed normal, acute pain but hypersensitivity to the second phase of the formalin test and chronic constriction injury. Dorsal horn neurons lacking NCX3 showed increased intracellular calcium following repetitive stimulation, slowed calcium clearance, and increased wind-up. Moreover, virally mediated enhanced spinal expression of NCX3 reduced central sensitization. Our study highlights Ca2+ efflux as a pathway underlying temporal summation and persistent pain, which may be amenable to therapeutic targeting.
Collapse
Affiliation(s)
| | - Kaustubh Adhikari
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, UK; Department of Genetics, Evolution and Environment, University College London, London, UK; Department of Cell and Developmental Biology, University College London, London, UK
| | - Annina B Schmid
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, UK
| | - Ryan Patel
- Department of Neuroscience, Physiology and Pharmacology, University College London, London, UK
| | - Erika Polgár
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK
| | - Kim I Chisholm
- Wolfson Centre for Age-Related Diseases, King's College London, London, UK
| | - Steven J Middleton
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, UK
| | - Kieran Boyle
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK
| | - Allen C Dickie
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK
| | | | | | - Andrew M Bell
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK
| | | | - Samar Khoury
- McGill University and Genome Quebec Innovation Centre, Montreal, QC, Canada
| | - Aleksandar Ivanov
- Department of Physiology Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Hendrik Wildner
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Eleanor Ferris
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, UK
| | - Juan-Camilo Chacón-Duque
- Department of Genetics, Evolution and Environment, University College London, London, UK; Centre for Palaeogenetics, Stockholm, Sweden; Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden
| | - Sophie Sokolow
- Laboratoire de Pharmacodynamie et de Thérapeutique Faculté de Médecine Université Libre de Bruxelles, Brussels, Belgium; School of Nursing, University of California, Los Angeles, Los Angeles, CA, USA
| | | | - André Herchuelz
- Laboratoire de Pharmacodynamie et de Thérapeutique Faculté de Médecine Université Libre de Bruxelles, Brussels, Belgium
| | - Pierre Faux
- CNRS, EFS, ADES, Aix-Marseille Université, Marseille, France
| | - Giovanni Poletti
- Unidad de Neurobiologia Molecular y Genética, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Carla Gallo
- Unidad de Neurobiologia Molecular y Genética, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | | | - Gabriel Bedoya
- GENMOL (Genética Molecular), Universidad de Antioquia, Medellin, Colombia
| | - Hanns Ulrich Zeilhofer
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland; Institute of Pharmaceutical Sciences, Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland
| | - Luda Diatchenko
- McGill University and Genome Quebec Innovation Centre, Montreal, QC, Canada
| | - Stephen B McMahon
- Wolfson Centre for Age-Related Diseases, King's College London, London, UK
| | - Andrew J Todd
- School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK
| | - Anthony H Dickenson
- Department of Neuroscience, Physiology and Pharmacology, University College London, London, UK
| | - Andres Ruiz-Linares
- Department of Genetics, Evolution and Environment, University College London, London, UK; CNRS, EFS, ADES, Aix-Marseille Université, Marseille, France; Ministry of Education Key Laboratory of Contemporary Anthropology and Collaborative Innovation Center of Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China.
| | - David L Bennett
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, UK.
| |
Collapse
|
20
|
Dhaliwal SK, Dabelea D, Lee-Winn AE, Glueck DH, Wilkening G, Perng W. Characterization of Maternal Psychosocial Stress During Pregnancy: The Healthy Start Study. WOMEN'S HEALTH REPORTS (NEW ROCHELLE, N.Y.) 2022; 3:698-708. [PMID: 36147836 PMCID: PMC9436384 DOI: 10.1089/whr.2022.0011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Accepted: 05/19/2022] [Indexed: 11/12/2022]
Abstract
Objective To capture multidimensional maternal psychosocial stress using responses from the Edinburgh Postnatal Depression Scale (EPDS) and Cohen's Perceived Stress Scale (PSS) administered during pregnancy, and to identify sociodemographic, biological, and health behavioral correlates of the stress domains. Methods Using data from 1,079 pregnant women, we implemented principal component analysis on EPDS and PSS responses and retained factors based on the Scree plot and Eigenvalues >1. We then used linear regression to identify perinatal correlates of each domain. Results We identified three stress domains: "Feeling Overwhelmed," "Anhedonia," and "Lack of Control," which accounted for 10.6% of variance in questionnaire responses. In multivariable analyses, household income ≤$70,000 (β = 0.21 confidence interval [95% CI: 0.05-0.39]), primiparity (0.36 [0.02-0.71]), inadequate (0.21 [0.04-0.39]) or excessive gestational weight gain (0.27 [0.11-0.42]), and Healthy Eating Index (HEI) score ≤57 (0.14 [0.00-0.28]) were associated with Feeling Overwhelmed. Older age (0.02 [0.00-0.03] per 1-year), Hispanic ethnicity (0.19 [0.00-0.38]), and HEI score ≤57 (0.15 [0.02-0.28]) were associated with Anhedonia. Non-Hispanic Black race/ethnicity (0.37 [0.10-0.63]), not having graduated from college (0.16 [-0.02 to 0.35]), having a partner born outside the United States (0.17 [-0.02 to 0.37]), household size of ≥5 persons (0.21 [-0.02 to 0.37]), receiving public assistance (0.18 [-0.02 to 0.37]), and prenatal smoking (0.32 [0.05-0.59]) were associated with Lack of Control. Conclusions Three domains of maternal psychosocial stress during pregnancy (Feeling Overwhelmed, Anhedonia, and Lack of Control) were differentially related to sociodemographic, biological, and health behavioral characteristics that may be targets for interventions to ameliorate stress in pregnant women. Clinical Trial Registry : The Healthy Start study is registered as an observational study at clinicaltrials.gov (NCT #002273297).
Collapse
Affiliation(s)
- Satvinder K. Dhaliwal
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Pediatrics, School of Medicine, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
| | - Angela E. Lee-Winn
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
| | - Deborah H. Glueck
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Pediatrics, School of Medicine, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
| | - Greta Wilkening
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
- Department or Neuropsychology, Colorado Children's Hospital, Aurora, Colorado, USA
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
| |
Collapse
|
21
|
Pat N, Riglin L, Anney R, Wang Y, Barch DM, Thapar A, Stringaris A. Motivation and Cognitive Abilities as Mediators Between Polygenic Scores and Psychopathology in Children. J Am Acad Child Adolesc Psychiatry 2022; 61:782-795.e3. [PMID: 34506929 DOI: 10.1016/j.jaac.2021.08.019] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 07/23/2021] [Accepted: 08/31/2021] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Fundamental questions in biological psychiatry concern the mechanisms that mediate between genetic liability and psychiatric symptoms. Genetic liability for many common psychiatric disorders often confers transdiagnostic risk to develop a wide variety of psychopathological symptoms through yet unknown pathways. This study examined the psychological and cognitive pathways that might mediate the relationship between genetic liability (indexed by polygenic scores; PS) and broad psychopathology (indexed by p factor and its underlying dimensions). METHOD First, which of the common psychiatric PSs (major depressive disorder [MDD], attention-deficit/hyperactivity disorder [ADHD], anxiety, bipolar disorder, schizophrenia, autism) that were associated with p factor were identified. Then focused was shifted to 3 pathways: punishment sensitivity (reflected by behavioral inhibition system), reward sensitivity (reflected by behavioral activation system), and cognitive abilities (reflected by g factor based on 10 neurocognitive tasks). We applied structural equation modeling on the Adolescent Brain Cognitive Development (ABCD) Study dataset (n = 4,814; 2,263 girls; 9-10 years old). RESULTS MDD and ADHD PSs were associated with p factor. The association between MDD PS and psychopathology was partially mediated by punishment sensitivity and cognitive abilities (proportion mediated = 22.35%). Conversely, the influence of ADHD PS on psychopathology was partially mediated by reward sensitivity and cognitive abilities (proportion mediated = 30.04%). The mediating role of punishment sensitivity was specific to emotional/internalizing. The mediating role of both reward sensitivity and cognitive abilities was specific to behavioral/externalizing and neurodevelopmental dimensions of psychopathology. CONCLUSION This study provides a better understanding of how genetic risks for MDD and ADHD confer risks for psychopathology and suggests potential prevention/intervention targets for children at risk.
Collapse
Affiliation(s)
- Narun Pat
- University of Otago, Dunedin, New Zealand.
| | | | | | - Yue Wang
- University of Otago, Dunedin, New Zealand
| | | | | | | |
Collapse
|
22
|
Yun JY, Lee YI, Park S, Choi JM, Choi SH, Jang JH. Functional activation of insula and dorsal anterior cingulate for conflict control against larger monetary loss in young adults with subthreshold depression: a preliminary study. Sci Rep 2022; 12:6956. [PMID: 35484391 PMCID: PMC9050651 DOI: 10.1038/s41598-022-10989-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 04/15/2022] [Indexed: 11/08/2022] Open
Abstract
Subthreshold depression (StD) is associated with higher risk of later developing major depressive disorder (MDD). Deficits of goal-directed behaviors regarding the motional, motivational, and conflict control are found in MDD. The current study examined neural underpinning of conflict control against monetary punishment in StD compared to MDD and healthy controls (HC). Seventy-one participants (HC, n = 27; StD, n = 21; MDD, n = 23) in their mid-20's completed self-reports. Preprocessing of functional magnetic resonance imaging acquired for the Simon task against larger or smaller monetary punishment was conducted using ENIGMA HALFpipe version 1.2.1. Neural correlates of conflict control against monetary punishment that could vary with either diagnosis or PHQ-9 total score were examined using a general linear model of FSL. Simon effect was effective for reaction time and accuracy in every subgroup of diagnosis and regardless of the size of monetary punishment. Conflict control against larger monetary loss was associated with higher functional activation of left insula in StD than HC and MDD. StD showed lower functional activation of left dorsal anterior cingulate (dACC) than MDD for conflict control against larger monetary loss. For conflict control against smaller monetary loss, StD demonstrated higher functional activation of left paracentral lobule and right putamen compared to HC. Directed acyclic graphs showed directional associations from suicidal ideation, sadness, and concentration difficulty to functional activation of paracentral lobule, ventromedial prefrontal cortex (vmPFC), and thalamus for conflict control against monetary loss. Differential functional activation of insula and dACC for conflict control against larger monetary loss could be a brain phenotype of StD. Item-level depressive symptoms of suicidal ideation, sadness, and concentration difficulty could be reflected in the conflict control-related functional activation of paracentral lobule (against smaller monetary loss), vmPFC and thalamus (against larger monetary loss), respectively.
Collapse
Affiliation(s)
- Je-Yeon Yun
- Seoul National University Hospital, Seoul, Republic of Korea
- Yeongeon Student Support Center, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yoonji Irene Lee
- Department of Psychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Susan Park
- Department of Psychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jong Moon Choi
- Department of Psychology, Louisiana State University, Baton Rouge, USA
| | - Soo-Hee Choi
- Department of Psychiatry, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Joon Hwan Jang
- Department of Psychiatry, Seoul National University Health Service Center, Gwanak-ro 1, Gwanak-gu, Seoul, 08826, Republic of Korea.
- Department of Human Systems Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
| |
Collapse
|
23
|
Bignardi G, Chamberlain R, Kevenaar ST, Tamimy Z, Boomsma DI. On the etiology of aesthetic chills: a behavioral genetic study. Sci Rep 2022; 12:3247. [PMID: 35228562 PMCID: PMC8885664 DOI: 10.1038/s41598-022-07161-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 02/02/2022] [Indexed: 12/22/2022] Open
Abstract
Aesthetic chills, broadly defined as a somatic marker of peak emotional-hedonic responses, are experienced by individuals across a variety of human cultures. Yet individuals vary widely in the propensity of feeling them. These individual differences have been studied in relation to demographics, personality, and neurobiological and physiological factors, but no study to date has explored the genetic etiological sources of variation. To partition genetic and environmental sources of variation in the propensity of feeling aesthetic chills, we fitted a biometrical genetic model to data from 14,127 twins (from 8995 pairs), collected by the Netherlands Twin Register. Both genetic and unique environmental factors accounted for variance in aesthetic chills, with heritability estimated at 0.36 ([0.33, 0.39] 95% CI). We found females more prone than males to report feeling aesthetic chills. However, a test for genotype x sex interaction did not show evidence that heritability differs between sexes. We thus show that the propensity of feeling aesthetic chills is not shaped by nurture alone, but it also reflects underlying genetic propensities.
Collapse
Affiliation(s)
- Giacomo Bignardi
- Department of Language & Genetics, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
- Department of Psychology, Goldsmiths University of London, London, UK.
- Max Planck School of Cognition, Stephanstrasse 1a, Leipzig, Germany.
| | | | - Sofieke T Kevenaar
- Department of Biological Psychology, Netherlands Twin Register, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Zenab Tamimy
- Department of Biological Psychology, Netherlands Twin Register, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Netherlands Twin Register, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| |
Collapse
|
24
|
Watson D, Levin-Aspenson HF, Waszczuk MA, Conway CC, Dalgleish T, Dretsch MN, Eaton NR, Forbes MK, Forbush KT, Hobbs KA, Michelini G, Nelson BD, Sellbom M, Slade T, South SC, Sunderland M, Waldman I, Witthöft M, Wright AGC, Kotov R, Krueger RF. Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): III. Emotional dysfunction superspectrum. World Psychiatry 2022; 21:26-54. [PMID: 35015357 PMCID: PMC8751579 DOI: 10.1002/wps.20943] [Citation(s) in RCA: 100] [Impact Index Per Article: 50.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) is a quantitative nosological system that addresses shortcomings of traditional mental disorder diagnoses, including arbitrary boundaries between psychopathology and normality, frequent disorder co-occurrence, substantial heterogeneity within disorders, and diagnostic unreliability over time and across clinicians. This paper reviews evidence on the validity and utility of the internalizing and somatoform spectra of HiTOP, which together provide support for an emotional dysfunction superspectrum. These spectra are composed of homogeneous symptom and maladaptive trait dimensions currently subsumed within multiple diagnostic classes, including depressive, anxiety, trauma-related, eating, bipolar, and somatic symptom disorders, as well as sexual dysfunction and aspects of personality disorders. Dimensions falling within the emotional dysfunction superspectrum are broadly linked to individual differences in negative affect/neuroticism. Extensive evidence establishes that dimensions falling within the superspectrum share genetic diatheses, environmental risk factors, cognitive and affective difficulties, neural substrates and biomarkers, childhood temperamental antecedents, and treatment response. The structure of these validators mirrors the quantitative structure of the superspectrum, with some correlates more specific to internalizing or somatoform conditions, and others common to both, thereby underlining the hierarchical structure of the domain. Compared to traditional diagnoses, the internalizing and somatoform spectra demonstrated substantially improved utility: greater reliability, larger explanatory and predictive power, and greater clinical applicability. Validated measures are currently available to implement the HiTOP system in practice, which can make diagnostic classification more useful, both in research and in the clinic.
Collapse
Affiliation(s)
- David Watson
- Department of Psychology, University of Notre Dame, South Bend, IN, USA
| | | | - Monika A Waszczuk
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | | | - Tim Dalgleish
- Medical Research Council, Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - Michael N Dretsch
- US Army Medical Research Directorate - West, Walter Reed Army Institute of Research, Joint Base Lewis-McChord, WA, USA
| | - Nicholas R Eaton
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Miriam K Forbes
- Centre for Emotional Health, Department of Psychology, Macquarie University, Sydney, NSW, Australia
| | - Kelsie T Forbush
- Department of Psychology, University of Kansas, Lawrence, KS, USA
| | - Kelsey A Hobbs
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Giorgia Michelini
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Brady D Nelson
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Martin Sellbom
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Tim Slade
- Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, NSW, Australia
| | - Susan C South
- Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA
| | - Matthew Sunderland
- Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, NSW, Australia
| | - Irwin Waldman
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Michael Witthöft
- Department for Clinical Psychology, Psychotherapy, and Experimental Psychopathology, University of Mainz, Mainz, Germany
| | - Aidan G C Wright
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| |
Collapse
|
25
|
Treatment-Resistant Depression with Anhedonia: Integrating Clinical and Preclinical Approaches to Investigate Distinct Phenotypes. Neurosci Biobehav Rev 2022; 136:104578. [DOI: 10.1016/j.neubiorev.2022.104578] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 11/30/2021] [Accepted: 02/11/2022] [Indexed: 12/21/2022]
|
26
|
A scoping review and comparison of approaches for measuring genetic heterogeneity in psychiatric disorders. Psychiatr Genet 2022; 32:1-8. [PMID: 34694248 DOI: 10.1097/ypg.0000000000000304] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
An improved understanding of genetic etiological heterogeneity in a psychiatric condition may help us (a) isolate a neurophysiological 'final common pathway' by identifying its upstream genetic origins and (b) facilitate characterization of the condition's phenotypic variation. This review aims to identify existing genetic heterogeneity measurements in the psychiatric literature and provides a conceptual review of their mechanisms, limitations, and assumptions. The Scopus database was searched for studies that quantified genetic heterogeneity or correlation of psychiatric phenotypes with human genetic data. Ninety studies were included. Eighty-seven reports quantified genetic correlation, five applied genomic structural equation modelling, three evaluated departure from the Hardy-Weinberg equilibrium at one or more loci, and two applied a novel approach known as MiXeR. We found no study that rigorously measured genetic etiological heterogeneity across a large number of markers. Developing such approaches may help better characterize the biological diversity of psychopathology.
Collapse
|
27
|
Liang S, Wu Y, Hanxiaoran L, Greenshaw AJ, Li T. Anhedonia in Depression and Schizophrenia: Brain Reward and Aversion Circuits. Neuropsychiatr Dis Treat 2022; 18:1385-1396. [PMID: 35836582 PMCID: PMC9273831 DOI: 10.2147/ndt.s367839] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 06/28/2022] [Indexed: 11/23/2022] Open
Abstract
Anhedonia, which is defined as markedly diminished interest or pleasure, is a prominent symptom of psychiatric disorders, most notably major depressive disorder (MDD) and schizophrenia. Anhedonia is considered a transdiagnostic symptom that is associated with deficits in neural reward and aversion functions. Here, we review the characteristics of anhedonia in depression and schizophrenia as well as shared or disorder-specific anhedonia-related alterations in reward and aversion pathways of the brain. In particular, we highlight that anhedonia is characterized by impairments in anticipatory pleasure and integration of reward-related information in MDD, whereas anhedonia in schizophrenia is associated with neurocognitive deficits in representing the value of rewards. Dysregulation of the frontostriatal circuit and mesocortical and mesolimbic circuit systems may be the transdiagnostic neurobiological basis of reward and aversion impairments underlying anhedonia in these two disorders. Blunted aversion processing in depression and relatively strong aversion in schizophrenia are primarily attributed to the dysfunction of the habenula, insula, amygdala, and anterior cingulate cortex. Furthermore, patients with schizophrenia appear to exhibit greater abnormal activation and extended functional coupling than those with depression. From a transdiagnostic perspective, understanding the neural mechanisms underlying anhedonia in patients with psychiatric disorders may help in the development of more targeted and efficacious treatment and intervention strategies.
Collapse
Affiliation(s)
- Sugai Liang
- Affiliated Mental Health Centre & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, People's Republic of China
| | - Yue Wu
- Affiliated Mental Health Centre & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, People's Republic of China
| | - Li Hanxiaoran
- Affiliated Mental Health Centre & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, People's Republic of China
| | - Andrew J Greenshaw
- Department of Psychiatry, University of Alberta, Edmonton, AB, T6G 2B7, Canada
| | - Tao Li
- Affiliated Mental Health Centre & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, People's Republic of China
| |
Collapse
|
28
|
Kirschner M, Hodzic-Santor B, Antoniades M, Nenadic I, Kircher T, Krug A, Meller T, Grotegerd D, Fornito A, Arnatkeviciute A, Bellgrove MA, Tiego J, Dannlowski U, Koch K, Hülsmann C, Kugel H, Enneking V, Klug M, Leehr EJ, Böhnlein J, Gruber M, Mehler D, DeRosse P, Moyett A, Baune BT, Green M, Quidé Y, Pantelis C, Chan R, Wang Y, Ettinger U, Debbané M, Derome M, Gaser C, Besteher B, Diederen K, Spencer TJ, Fletcher P, Rössler W, Smigielski L, Kumari V, Premkumar P, Park HRP, Wiebels K, Lemmers-Jansen I, Gilleen J, Allen P, Kozhuharova P, Marsman JB, Lebedeva I, Tomyshev A, Mukhorina A, Kaiser S, Fett AK, Sommer I, Schuite-Koops S, Paquola C, Larivière S, Bernhardt B, Dagher A, Grant P, van Erp TGM, Turner JA, Thompson PM, Aleman A, Modinos G. Cortical and subcortical neuroanatomical signatures of schizotypy in 3004 individuals assessed in a worldwide ENIGMA study. Mol Psychiatry 2022; 27:1167-1176. [PMID: 34707236 PMCID: PMC9054674 DOI: 10.1038/s41380-021-01359-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 10/02/2021] [Accepted: 10/08/2021] [Indexed: 02/04/2023]
Abstract
Neuroanatomical abnormalities have been reported along a continuum from at-risk stages, including high schizotypy, to early and chronic psychosis. However, a comprehensive neuroanatomical mapping of schizotypy remains to be established. The authors conducted the first large-scale meta-analyses of cortical and subcortical morphometric patterns of schizotypy in healthy individuals, and compared these patterns with neuroanatomical abnormalities observed in major psychiatric disorders. The sample comprised 3004 unmedicated healthy individuals (12-68 years, 46.5% male) from 29 cohorts of the worldwide ENIGMA Schizotypy working group. Cortical and subcortical effect size maps with schizotypy scores were generated using standardized methods. Pattern similarities were assessed between the schizotypy-related cortical and subcortical maps and effect size maps from comparisons of schizophrenia (SZ), bipolar disorder (BD) and major depression (MDD) patients with controls. Thicker right medial orbitofrontal/ventromedial prefrontal cortex (mOFC/vmPFC) was associated with higher schizotypy scores (r = 0.067, pFDR = 0.02). The cortical thickness profile in schizotypy was positively correlated with cortical abnormalities in SZ (r = 0.285, pspin = 0.024), but not BD (r = 0.166, pspin = 0.205) or MDD (r = -0.274, pspin = 0.073). The schizotypy-related subcortical volume pattern was negatively correlated with subcortical abnormalities in SZ (rho = -0.690, pspin = 0.006), BD (rho = -0.672, pspin = 0.009), and MDD (rho = -0.692, pspin = 0.004). Comprehensive mapping of schizotypy-related brain morphometry in the general population revealed a significant relationship between higher schizotypy and thicker mOFC/vmPFC, in the absence of confounding effects due to antipsychotic medication or disease chronicity. The cortical pattern similarity between schizotypy and schizophrenia yields new insights into a dimensional neurobiological continuity across the extended psychosis phenotype.
Collapse
Affiliation(s)
- Matthias Kirschner
- grid.14709.3b0000 0004 1936 8649McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC Canada ,grid.7400.30000 0004 1937 0650Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Benazir Hodzic-Santor
- grid.14709.3b0000 0004 1936 8649McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC Canada
| | - Mathilde Antoniades
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, King’s College London, London, UK
| | - Igor Nenadic
- grid.10253.350000 0004 1936 9756University of Marburg, Marburg, Germany
| | - Tilo Kircher
- grid.10253.350000 0004 1936 9756University of Marburg, Marburg, Germany
| | - Axel Krug
- grid.10253.350000 0004 1936 9756University of Marburg, Marburg, Germany ,grid.10388.320000 0001 2240 3300Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Tina Meller
- grid.10253.350000 0004 1936 9756University of Marburg, Marburg, Germany
| | - Dominik Grotegerd
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany
| | - Alex Fornito
- grid.1002.30000 0004 1936 7857Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Melbourne, VIC Australia
| | - Aurina Arnatkeviciute
- grid.1002.30000 0004 1936 7857Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Melbourne, VIC Australia
| | - Mark A. Bellgrove
- grid.1002.30000 0004 1936 7857Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Melbourne, VIC Australia
| | - Jeggan Tiego
- grid.1002.30000 0004 1936 7857Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Melbourne, VIC Australia
| | - Udo Dannlowski
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany
| | - Katharina Koch
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany
| | - Carina Hülsmann
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany
| | - Harald Kugel
- grid.5949.10000 0001 2172 9288University Clinic for Radiology, University of Münster, Münster, Germany
| | - Verena Enneking
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany
| | - Melissa Klug
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany
| | - Elisabeth J. Leehr
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany
| | - Joscha Böhnlein
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany
| | - Marius Gruber
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany
| | - David Mehler
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany
| | - Pamela DeRosse
- grid.416477.70000 0001 2168 3646Division of Psychiatry Research, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY USA ,grid.250903.d0000 0000 9566 0634The Feinstein Institutes for Medical Research, Center for Psychiatric Neuroscience, Manhasset, NY USA ,grid.512756.20000 0004 0370 4759Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY USA
| | - Ashley Moyett
- grid.416477.70000 0001 2168 3646Division of Psychiatry Research, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY USA
| | - Bernhard T. Baune
- grid.5949.10000 0001 2172 9288Department of Psychiatry, University of Münster, Münster, Germany ,grid.1008.90000 0001 2179 088XDepartment of Psychiatry, Melbourne Medical School, University of Melbourne, Melbourne, VIC Australia
| | - Melissa Green
- grid.1005.40000 0004 4902 0432School of Psychiatry, University of New South Wales (UNSW), Sydney, NSW Australia ,grid.250407.40000 0000 8900 8842Neuroscience Research Australia (NeuRA), Randwick, NSW Australia
| | - Yann Quidé
- grid.1005.40000 0004 4902 0432School of Psychiatry, University of New South Wales (UNSW), Sydney, NSW Australia ,grid.250407.40000 0000 8900 8842Neuroscience Research Australia (NeuRA), Randwick, NSW Australia
| | - Christos Pantelis
- grid.1008.90000 0001 2179 088XMelbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, VIC Australia
| | - Raymond Chan
- grid.9227.e0000000119573309Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Yi Wang
- grid.9227.e0000000119573309Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Ulrich Ettinger
- grid.10388.320000 0001 2240 3300University of Bonn, Bonn, Germany
| | - Martin Debbané
- grid.8591.50000 0001 2322 4988University of Geneva, Geneva, Switzerland
| | - Melodie Derome
- grid.8591.50000 0001 2322 4988University of Geneva, Geneva, Switzerland
| | - Christian Gaser
- grid.275559.90000 0000 8517 6224Jena University Hospital, Jena, Germany
| | - Bianca Besteher
- grid.275559.90000 0000 8517 6224Jena University Hospital, Jena, Germany
| | - Kelly Diederen
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, King’s College London, London, UK
| | - Tom J. Spencer
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, King’s College London, London, UK
| | - Paul Fletcher
- grid.5335.00000000121885934Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Wulf Rössler
- grid.412004.30000 0004 0478 9977Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland ,grid.6363.00000 0001 2218 4662Department of Psychiatry and Psychotherapy, Charité University Medicine, Berlin, Germany ,grid.11899.380000 0004 1937 0722Institute of Psychiatry, School of Medicine, University of São Paulo, São Paulo, Brazil
| | - Lukasz Smigielski
- grid.412004.30000 0004 0478 9977Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Veena Kumari
- grid.7728.a0000 0001 0724 6933Brunel University London, Uxbridge, UK
| | - Preethi Premkumar
- grid.7728.a0000 0001 0724 6933Brunel University London, Uxbridge, UK
| | - Haeme R. P. Park
- grid.9654.e0000 0004 0372 3343School of Psychology, University of Auckland, Auckland, New Zealand
| | - Kristina Wiebels
- grid.9654.e0000 0004 0372 3343School of Psychology, University of Auckland, Auckland, New Zealand
| | | | - James Gilleen
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, King’s College London, London, UK ,grid.35349.380000 0001 0468 7274University of Roehampton, London, UK
| | - Paul Allen
- grid.35349.380000 0001 0468 7274University of Roehampton, London, UK
| | - Petya Kozhuharova
- grid.35349.380000 0001 0468 7274University of Roehampton, London, UK
| | - Jan-Bernard Marsman
- grid.4830.f0000 0004 0407 1981Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Irina Lebedeva
- grid.466467.10000 0004 0627 319XMental Health Research Center, Moscow, Russian Federation
| | - Alexander Tomyshev
- grid.466467.10000 0004 0627 319XMental Health Research Center, Moscow, Russian Federation
| | - Anna Mukhorina
- grid.466467.10000 0004 0627 319XMental Health Research Center, Moscow, Russian Federation
| | - Stefan Kaiser
- grid.150338.c0000 0001 0721 9812Department of Psychiatry, Geneva University Hospital, Geneva, Switzerland
| | - Anne-Kathrin Fett
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, King’s College London, London, UK ,grid.28577.3f0000 0004 1936 8497City, University London, London, UK
| | - Iris Sommer
- grid.4830.f0000 0004 0407 1981Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Sanne Schuite-Koops
- grid.4830.f0000 0004 0407 1981Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Casey Paquola
- grid.14709.3b0000 0004 1936 8649McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC Canada
| | - Sara Larivière
- grid.14709.3b0000 0004 1936 8649McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC Canada
| | - Boris Bernhardt
- grid.14709.3b0000 0004 1936 8649McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC Canada
| | - Alain Dagher
- grid.14709.3b0000 0004 1936 8649McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC Canada
| | - Phillip Grant
- grid.440934.e0000 0004 0593 1824Fresenius University of Applied Sciences, Frankfurt am Main, Germany
| | - Theo G. M. van Erp
- grid.266093.80000 0001 0668 7243Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA USA ,grid.266093.80000 0001 0668 7243Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, CA USA
| | - Jessica A. Turner
- grid.256304.60000 0004 1936 7400Imaging Genetics and Neuroinformatics Lab, Georgia State University, Atlanta, GA USA
| | - Paul M. Thompson
- grid.42505.360000 0001 2156 6853Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA
| | - André Aleman
- grid.4830.f0000 0004 0407 1981Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Gemma Modinos
- Department of Psychosis Studies, King's College London, London, UK. .,MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK.
| |
Collapse
|
29
|
Pizzagalli DA, Roberts AC. Prefrontal cortex and depression. Neuropsychopharmacology 2022; 47:225-246. [PMID: 34341498 PMCID: PMC8617037 DOI: 10.1038/s41386-021-01101-7] [Citation(s) in RCA: 202] [Impact Index Per Article: 101.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 06/26/2021] [Accepted: 06/28/2021] [Indexed: 01/03/2023]
Abstract
The prefrontal cortex (PFC) has emerged as one of the regions most consistently impaired in major depressive disorder (MDD). Although functional and structural PFC abnormalities have been reported in both individuals with current MDD as well as those at increased vulnerability to MDD, this information has not translated into better treatment and prevention strategies. Here, we argue that dissecting depressive phenotypes into biologically more tractable dimensions - negative processing biases, anhedonia, despair-like behavior (learned helplessness) - affords unique opportunities for integrating clinical findings with mechanistic evidence emerging from preclinical models relevant to depression, and thereby promises to improve our understanding of MDD. To this end, we review and integrate clinical and preclinical literature pertinent to these core phenotypes, while emphasizing a systems-level approach, treatment effects, and whether specific PFC abnormalities are causes or consequences of MDD. In addition, we discuss several key issues linked to cross-species translation, including functional brain homology across species, the importance of dissecting neural pathways underlying specific functional domains that can be fruitfully probed across species, and the experimental approaches that best ensure translatability. Future directions and clinical implications of this burgeoning literature are discussed.
Collapse
Affiliation(s)
- Diego A Pizzagalli
- Department of Psychiatry, Harvard Medical School & McLean Hospital, Belmont, MA, USA.
| | - Angela C Roberts
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK.
| |
Collapse
|
30
|
Bondy E, Bogdan R. Understanding Anhedonia from a Genomic Perspective. Curr Top Behav Neurosci 2022; 58:61-79. [PMID: 35152374 PMCID: PMC9375777 DOI: 10.1007/7854_2021_293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Anhedonia, or the decreased ability to experience pleasure, is a cardinal symptom of major depression that commonly occurs within other forms of psychopathology. Supportive of long-held theory that anhedonia represents a genetically influenced vulnerability marker for depression, evidence from twin studies suggests that it is moderately-largely heritable. However, the genomic sources of this heritability are just beginning to be understood. In this review, we survey what is known about the genomic architecture underlying anhedonia and related constructs. We briefly review twin and initial candidate gene studies before focusing on genome-wide association study (GWAS) and polygenic efforts. As large samples are needed to reliably detect the small effects that typically characterize common genetic variants, the study of anhedonia and related phenotypes conflicts with current genomic research requirements and frameworks that prioritize sample size over precise phenotyping. This has resulted in few and underpowered studies of anhedonia-related constructs that have largely failed to reliably identify individual variants. Nonetheless, the polygenic architecture of anhedonia-related constructs identified in these studies has genetic overlap with depression and schizophrenia as well as related brain structure (e.g., striatal volume), providing important clues to etiology that may usefully guide refinement in nosology. As we await the accumulation of larger samples for more well-powered GWAS of reward-related constructs, novel analytic techniques that leverage GWAS summary statistics (e.g., genomic structural equation modeling) may currently be used to help characterize how the genomic architecture of anhedonia is shared and distinct from that underlying other constructs (e.g., depression, neuroticism, anxiety).
Collapse
Affiliation(s)
- Erin Bondy
- Department of Psychological and Brain Sciences, Washington University in Saint Louis, St. Louis, MO, USA
| | - Ryan Bogdan
- Department of Psychological and Brain Sciences, Washington University in Saint Louis, St. Louis, MO, USA.
| |
Collapse
|
31
|
Farrell SF, Campos AI, Kho PF, de Zoete RMJ, Sterling M, Rentería ME, Ngo TT, Cuéllar-Partida G. Genetic basis to structural grey matter associations with chronic pain. Brain 2021; 144:3611-3622. [PMID: 34907416 DOI: 10.1093/brain/awab334] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 08/06/2021] [Accepted: 08/12/2021] [Indexed: 01/26/2023] Open
Abstract
Structural neuroimaging studies of individuals with chronic pain conditions have often observed decreased regional grey matter at a phenotypic level. However, it is not known if this association can be attributed to genetic factors. Here we employed a novel integrative data-driven and hypothesis-testing approach to determine whether there is a genetic basis to grey matter morphology differences in chronic pain. Using publicly available genome-wide association study summary statistics for regional chronic pain conditions (n = 196 963) and structural neuroimaging measures (n = 19 629-34 000), we applied bivariate linkage disequilibrium-score regression and latent causal variable analyses to determine the genetic correlations (rG) and genetic causal proportion (GCP) between these complex traits, respectively. Five a priori brain regions (i.e. prefrontal cortex, cingulate cortex, insula, thalamus and superior temporal gyrus) were selected based on systematic reviews of grey matter morphology studies in chronic pain. Across this evidence-based selection of five brain regions, 10 significant negative genetic correlations (out of 369) were found (false discovery rate < 5%), suggesting a shared genetic basis to both reduced regional grey matter morphology and the presence of chronic pain. Specifically, negative genetic correlations were observed between reduced insula grey matter morphology and chronic pain in the abdomen (mean insula cortical thickness), hips (left insula volume) and neck/shoulders (left and right insula volume). Similarly, a shared genetic basis was found for reduced posterior cingulate cortex volume in chronic pain of the hip (left and right posterior cingulate), neck/shoulder (left posterior cingulate) and chronic pain at any site (left posterior cingulate); and for reduced pars triangularis volume in chronic neck/shoulder (left pars triangularis) and widespread pain (right pars triangularis). Across these negative genetic correlations, a significant genetic causal proportion was only found between mean insula thickness and chronic abdominal pain [rG (standard error, SE) = -0.25 (0.08), P = 1.06 × 10-3; GCP (SE) = -0.69 (0.20), P = 4.96 × 10-4]. This finding suggests that the genes underlying reduced cortical thickness of the insula causally contribute to an increased risk of chronic abdominal pain. Altogether, these results provide independent corroborating evidence for observational reports of decreased grey matter of particular brain regions in chronic pain. Further, we show for the first time that this association is mediated (in part) by genetic factors. These novel findings warrant further investigation into the neurogenetic pathways that underlie the development and prolongation of chronic pain conditions.
Collapse
Affiliation(s)
- Scott F Farrell
- RECOVER Injury Research Centre, The University of Queensland, Herston, QLD, Australia.,NHMRC Centre for Research Excellence in Road Traffic Injury Recovery, The University of Queensland, Herston, QLD, Australia.,Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia
| | - Adrián I Campos
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, St Lucia, QLD, Australia.,Genetic Epidemiology Laboratory, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
| | - Pik-Fang Kho
- Molecular Cancer Epidemiology Laboratory, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Herston, QLD, Australia.,School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
| | - Rutger M J de Zoete
- School of Allied Health Science and Practice, The University of Adelaide, Adelaide, SA, Australia
| | - Michele Sterling
- RECOVER Injury Research Centre, The University of Queensland, Herston, QLD, Australia.,NHMRC Centre for Research Excellence in Road Traffic Injury Recovery, The University of Queensland, Herston, QLD, Australia
| | - Miguel E Rentería
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, St Lucia, QLD, Australia.,Genetic Epidemiology Laboratory, Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Herston, QLD, Australia
| | - Trung Thanh Ngo
- Diamantina Institute, The University of Queensland and Translational Research Institute, Woolloongabba, QLD, Australia
| | - Gabriel Cuéllar-Partida
- Diamantina Institute, The University of Queensland and Translational Research Institute, Woolloongabba, QLD, Australia
| |
Collapse
|
32
|
Daniels A, Wellan SA, Walter H. Learning it the hard way - how enjoying life and positive appraisal buffer the negative effects of stressors on mental health in the COVID-19 pandemic. JOURNAL OF AFFECTIVE DISORDERS REPORTS 2021; 6:100200. [PMID: 34957432 PMCID: PMC8684292 DOI: 10.1016/j.jadr.2021.100200] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 06/25/2021] [Accepted: 07/18/2021] [Indexed: 12/05/2022] Open
Abstract
Background Higher levels of stress and negative emotions such as anxiety and depression have been reported since the beginning of the COVID-19 pandemic, but it remains less clear how positive emotions, such as hedonic capacity, may be affected. Further, during lockdowns, the ability to learn new pleasurable activities (hedonic learning) may be particularly relevant. Here, we investigated if state hedonia and/or hedonic learning mediated the relationship between COVID-19 stress and mental health. Moreover, we explored whether positive appraisal style (PAS), a major resilience factor, influenced these relationships. Methods Using a cross-sectional design, 5000 German-speaking participants filled out online questionnaires targeting stressors, mental health, state hedonia, hedonic learning, and PAS between April 9 and May 15, 2020. After confirming the factor structure of our constructs, we applied latent structural equation modeling to test mediation as well as moderated mediation models. Results Stress showed a positive association with mental health symptoms, which was buffered by both state hedonia and hedonic learning. While higher stress was related to lower state hedonia, participants reported more hedonic learning with greater stressor load. The latter effect was greater for individuals with high PAS. Limitations The present results should be replicated in longitudinal designs with representative samples to confirm the directionality and generalizability of effects. Conclusions Both state hedonia and hedonic learning buffered the effect of stress on mental health in an early phase of the COVID-19 pandemic. Learning new rewarding activities in combination with a PAS may be especially relevant for maintaining mental health during lockdowns.
Collapse
Key Words
- ACIPS, Anticipatory and Consummatory Interpersonal Pleasure Scale
- AIC, Akaike Information Criterion
- Anhedonia
- BIC, Bayesian Information Criterion
- CFA, confirmatory factor analysis
- CFI, comparative fit index
- CI, confidence interval
- COVID-19
- COVID-19, coronavirus disease 2019
- DARS, Dimensional Anhedonia Rating Scale
- EFA, exploratory factor analysis
- GHQ-12, 12-item General Health Questionnaire
- MLR, robust maximum likelihood
- Mental health
- PAS, positive appraisal style
- Positive appraisal
- RMSEA, root mean square error of approximation
- Reward learning
- SARS-CoV-2, severe acute respiratory syndrome coronavirus 2
- SEM, structural equation modeling
- SRMR, standardized root mean square residual
- Stress
- TEPS, Temporal Experience of Pleasure Scale
- TLI, Tucker Lewis index
- aBIC, sample-size adjusted BIC
Collapse
Affiliation(s)
- Anna Daniels
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Neurosciences CCM, Research Division of Mind and Brain, Charitéplatz 1, 10117 Berlin, Germany.,Humboldt-Universität zu Berlin, Faculty of Philosophy, Berlin School of Mind and Brain, Berlin, Germany
| | - Sarah A Wellan
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Neurosciences CCM, Research Division of Mind and Brain, Charitéplatz 1, 10117 Berlin, Germany.,Humboldt-Universität zu Berlin, Faculty of Philosophy, Berlin School of Mind and Brain, Berlin, Germany
| | - Henrik Walter
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Neurosciences CCM, Research Division of Mind and Brain, Charitéplatz 1, 10117 Berlin, Germany.,Humboldt-Universität zu Berlin, Faculty of Philosophy, Berlin School of Mind and Brain, Berlin, Germany
| |
Collapse
|
33
|
Zheng Y, Garrett ME, Sun D, Clarke-Rubright EK, Haswell CC, Maihofer AX, Elman JA, Franz CE, Lyons MJ, Kremen WS, Peverill M, Sambrook K, McLaughlin KA, Davenport ND, Disner S, Sponheim SR, Andrew E, Korgaonkar M, Bryant R, Varkevisser T, Geuze E, Coleman J, Beckham JC, Kimbrel NA, Sullivan D, Miller M, Hayes J, Verfaellie M, Wolf E, Salat D, Spielberg JM, Milberg W, McGlinchey R, Dennis EL, Thompson PM, Medland S, Jahanshad N, Nievergelt CM, Ashley-Koch AE, Logue MW, Morey RA. Trauma and posttraumatic stress disorder modulate polygenic predictors of hippocampal and amygdala volume. Transl Psychiatry 2021; 11:637. [PMID: 34916497 PMCID: PMC8677780 DOI: 10.1038/s41398-021-01707-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 10/05/2021] [Accepted: 10/20/2021] [Indexed: 11/08/2022] Open
Abstract
The volume of subcortical structures represents a reliable, quantitative, and objective phenotype that captures genetic effects, environmental effects such as trauma, and disease effects such as posttraumatic stress disorder (PTSD). Trauma and PTSD represent potent exposures that may interact with genetic markers to influence brain structure and function. Genetic variants, associated with subcortical volumes in two large normative discovery samples, were used to compute polygenic scores (PGS) for the volume of seven subcortical structures. These were applied to a target sample enriched for childhood trauma and PTSD. Subcortical volume PGS from the discovery sample were strongly associated in our trauma/PTSD enriched sample (n = 7580) with respective subcortical volumes of the hippocampus (p = 1.10 × 10-20), thalamus (p = 7.46 × 10-10), caudate (p = 1.97 × 10-18), putamen (p = 1.7 × 10-12), and nucleus accumbens (p = 1.99 × 10-7). We found a significant association between the hippocampal volume PGS and hippocampal volume in control subjects from our sample, but was absent in individuals with PTSD (GxE; (beta = -0.10, p = 0.027)). This significant GxE (PGS × PTSD) relationship persisted (p < 1 × 10-19) in four out of five threshold peaks (0.024, 0.133, 0.487, 0.730, and 0.889) used to calculate hippocampal volume PGSs. We detected similar GxE (G × ChildTrauma) relationships in the amygdala for exposure to childhood trauma (rs4702973; p = 2.16 × 10-7) or PTSD (rs10861272; p = 1.78 × 10-6) in the CHST11 gene. The hippocampus and amygdala are pivotal brain structures in mediating PTSD symptomatology. Trauma exposure and PTSD modulate the effect of polygenic markers on hippocampal volume (GxE) and the amygdala volume PGS is associated with PTSD risk, which supports the role of amygdala volume as a risk factor for PTSD.
Collapse
Affiliation(s)
- Yuanchao Zheng
- National Center for PTSD, VA Boston Healthcare System, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Melanie E Garrett
- Department of Medicine, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
- VISN 6 MIRECC, Durham VA Health Care System, Durham, NC, USA
| | - Delin Sun
- VISN 6 MIRECC, Durham VA Health Care System, Durham, NC, USA
- Brain Imaging and Analysis Center, Duke University, Durham, NC, USA
| | - Emily K Clarke-Rubright
- VISN 6 MIRECC, Durham VA Health Care System, Durham, NC, USA
- Brain Imaging and Analysis Center, Duke University, Durham, NC, USA
| | - Courtney C Haswell
- VISN 6 MIRECC, Durham VA Health Care System, Durham, NC, USA
- Brain Imaging and Analysis Center, Duke University, Durham, NC, USA
| | - Adam X Maihofer
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Jeremy A Elman
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Carol E Franz
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Michael J Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - William S Kremen
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
- Center of Excellence for Stress and Mental Health, Veterans Affairs San Diego Healthcare System, La Jolla, CA, USA
| | - Matthew Peverill
- Department of Psychology, University of Washington, Seattle, WA, USA
| | - Kelly Sambrook
- Department of Psychology, Harvard University, Boston, MA, USA
| | | | - Nicholas D Davenport
- Minneapolis VA Health Care System, Minneapolis, MN, USA
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Seth Disner
- Minneapolis VA Health Care System, Minneapolis, MN, USA
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Scott R Sponheim
- Minneapolis VA Health Care System, Minneapolis, MN, USA
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | | | - Mayuresh Korgaonkar
- Brain Dynamics Centre, Westmead Institute of Medical Research, University of Sydney, Westmead, NSW, Australia
| | - Richard Bryant
- School of Psychology, University of New South Wales, Sydney, NSW, Australia
| | - Tim Varkevisser
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
- Brain Research and Innovation Centre, Ministry of Defence, Utrecht, The Netherlands
| | - Elbert Geuze
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
- Brain Research and Innovation Centre, Ministry of Defence, Utrecht, The Netherlands
| | - Jonathan Coleman
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, London, UK
- King's College London, NIHR Maudsley BRC, London, UK
| | - Jean C Beckham
- Brain Imaging and Analysis Center, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Nathan A Kimbrel
- Brain Imaging and Analysis Center, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Danielle Sullivan
- National Center for PTSD, VA Boston Healthcare System, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Mark Miller
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- VA Boston Healthcare System, Jamaica Plain, MA, USA
| | - Jasmeet Hayes
- National Center for PTSD, VA Boston Healthcare System, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Mieke Verfaellie
- National Center for PTSD, VA Boston Healthcare System, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Erika Wolf
- National Center for PTSD, VA Boston Healthcare System, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - David Salat
- VA Boston Healthcare System, Jamaica Plain, MA, USA
- Department of Radiology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Jeffrey M Spielberg
- VA Boston Healthcare System, Jamaica Plain, MA, USA
- Department of Psychological and Brain Sciences, University of Delaware, Newark, DE, USA
| | - William Milberg
- Translational Research Center for TBI and Stress Disorders, VA Boston Healthcare System, Boston, MA, USA
- Geriatric Research, Educational and Clinical Center, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Regina McGlinchey
- Translational Research Center for TBI and Stress Disorders, VA Boston Healthcare System, Boston, MA, USA
- Geriatric Research, Educational and Clinical Center, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Emily L Dennis
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sarah Medland
- Queensland Institute for Medical Research, Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Neda Jahanshad
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Caroline M Nievergelt
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Center of Excellence for Stress and Mental Health, Veterans Affairs San Diego Healthcare System, La Jolla, CA, USA
| | - Allison E Ashley-Koch
- Department of Medicine, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
- VISN 6 MIRECC, Durham VA Health Care System, Durham, NC, USA
| | - Mark W Logue
- National Center for PTSD, VA Boston Healthcare System, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Departments of Psychiatry and Biomedical Genetics, Boston University School of Medicine, Boston, MA, USA
| | - Rajendra A Morey
- VISN 6 MIRECC, Durham VA Health Care System, Durham, NC, USA.
- Brain Imaging and Analysis Center, Duke University, Durham, NC, USA.
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.
| |
Collapse
|
34
|
Gu L, Guan X, Gao T, Zhou C, Yang W, Lv D, Wu J, Fang Y, Guo T, Song Z, Xu X, Tian J, Yin X, Zhang M, Zhang B, Pu J, Yan Y. The effect of polygenic risk on white matter microstructural degeneration in Parkinson's disease: A longitudinal Diffusion Tensor Imaging study. Eur J Neurol 2021; 29:1000-1010. [PMID: 34882309 DOI: 10.1111/ene.15201] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Accepted: 11/29/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE This study was undertaken to investigate the effect of genetic risk on whole brain white matter (WM) integrity in patients with Parkinson disease (PD). METHODS Data were acquired from the Parkinson's Progression Markers Initiative (PPMI) database. Polygenic load was estimated by calculating weighted polygenic risk scores (PRS) using (i) all available 26 PD-risk single nucleotide polymorphisms (SNPs) (PRS1) and (ii) 23 SNPs with minor allele frequency (MAF) > 0.05 (PRS2). According to the PRS2, and combined with clinical and diffusion tensor imaging (DTI) data over 3-year follow-up, 60 PD patients were screened and assigned to the low-PRS group (n = 30) and high-PRS group (n = 30) to investigate intergroup differences in clinical profiles and WM microstructure measured by DTI cross-sectionally and longitudinally. RESULTS PRS were associated with younger age at onset in patients with PD (PRS1, Spearman ρ = -0.190, p = 0.003; PRS2, Spearman ρ = -0.189, p = 0.003). The high-PRS group showed more extensive WM microstructural degeneration compared with the low-PRS group, mainly involving the anterior thalamic radiation (AThR) and inferior fronto-occipital fasciculus (IFOF) (p < 0.05). Furthermore, WM microstructural changes in AThR correlated with declining cognitive function (r = -0.401, p = 0.028) and increasing dopaminergic deficits in caudate (r = -0.405, p = 0.030). CONCLUSIONS These findings suggest that PD-associated polygenic load aggravates the WM microstructural degeneration and these changes may lead to poor cognition with continuous dopamine depletion. This study provides advanced evidence that combined with a cumulative PRS and DTI methods may predict disease progression in PD patients.
Collapse
Affiliation(s)
- Luyan Gu
- Department of Neurology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xiaojun Guan
- Department of Radiology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Ting Gao
- Department of Neurology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Cheng Zhou
- Department of Radiology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Wenyi Yang
- Department of Neurology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Dayao Lv
- Department of Neurology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jingjing Wu
- Department of Radiology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yi Fang
- Department of Neurology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Tao Guo
- Department of Radiology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Zhe Song
- Department of Neurology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xiaojun Xu
- Department of Radiology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jun Tian
- Department of Neurology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xinzhen Yin
- Department of Neurology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Minming Zhang
- Department of Radiology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Baorong Zhang
- Department of Neurology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jiali Pu
- Department of Neurology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yaping Yan
- Department of Neurology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| |
Collapse
|
35
|
Where the genome meets the connectome: Understanding how genes shape human brain connectivity. Neuroimage 2021; 244:118570. [PMID: 34508898 DOI: 10.1016/j.neuroimage.2021.118570] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 08/10/2021] [Accepted: 09/07/2021] [Indexed: 02/07/2023] Open
Abstract
The integration of modern neuroimaging methods with genetically informative designs and data can shed light on the molecular mechanisms underlying the structural and functional organization of the human connectome. Here, we review studies that have investigated the genetic basis of human brain network structure and function through three complementary frameworks: (1) the quantification of phenotypic heritability through classical twin designs; (2) the identification of specific DNA variants linked to phenotypic variation through association and related studies; and (3) the analysis of correlations between spatial variations in imaging phenotypes and gene expression profiles through the integration of neuroimaging and transcriptional atlas data. We consider the basic foundations, strengths, limitations, and discoveries associated with each approach. We present converging evidence to indicate that anatomical connectivity is under stronger genetic influence than functional connectivity and that genetic influences are not uniformly distributed throughout the brain, with phenotypic variation in certain regions and connections being under stronger genetic control than others. We also consider how the combination of imaging and genetics can be used to understand the ways in which genes may drive brain dysfunction in different clinical disorders.
Collapse
|
36
|
Luciana M, Collins PF. Is Adolescence a Sensitive Period for the Development of Incentive-Reward Motivation? Curr Top Behav Neurosci 2021; 53:79-99. [PMID: 34784026 DOI: 10.1007/7854_2021_275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
Human adolescence is broadly construed as a time of heightened risk-taking and a vulnerability period for the emergence of psychopathology. These tendencies have been attributed to the age-related development of neural systems that mediate incentive motivation and other aspects of reward processing as well as individual difference factors that interact with ongoing development. Here, we describe the adolescent development of incentive motivation, which we view as an inherently positive developmental progression, and its associated neural mechanisms. We consider challenges in applying the sensitive period concept to these maturational events and discuss future directions that may help to clarify mechanisms of change.
Collapse
Affiliation(s)
- Monica Luciana
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA.
| | - Paul F Collins
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| |
Collapse
|
37
|
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: 69] [Impact Index Per Article: 23.0] [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
|
38
|
Zhu X, Ward J, Cullen B, Lyall DM, Strawbridge RJ, Lyall LM, Smith DJ. Phenotypic and genetic associations between anhedonia and brain structure in UK Biobank. Transl Psychiatry 2021; 11:395. [PMID: 34282121 PMCID: PMC8289859 DOI: 10.1038/s41398-021-01522-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 06/30/2021] [Accepted: 07/05/2021] [Indexed: 02/07/2023] Open
Abstract
Anhedonia is a core symptom of multiple psychiatric disorders and has been associated with alterations in brain structure. Genome-wide association studies suggest that anhedonia is heritable, with a polygenic architecture, but few studies have explored the association between genetic loading for anhedonia-indexed by polygenic risk scores for anhedonia (PRS-anhedonia)-and structural brain imaging phenotypes. Here, we investigated how anhedonia and PRS-anhedonia were associated with brain structure within the UK Biobank cohort. Brain measures (including total grey/white matter volumes, subcortical volumes, cortical thickness (CT) and white matter integrity) were analysed using linear mixed models in relation to anhedonia and PRS-anhedonia in 19,592 participants (9225 males; mean age = 62.6 years, SD = 7.44). We found that state anhedonia was significantly associated with reduced total grey matter volume (GMV); increased total white matter volume (WMV); smaller volumes in thalamus and nucleus accumbens; reduced CT within the paracentral cortex, the opercular part of inferior frontal gyrus, precentral cortex, insula and rostral anterior cingulate cortex; and poorer integrity of many white matter tracts. PRS-anhedonia was associated with reduced total GMV; increased total WMV; reduced white matter integrity; and reduced CT within the parahippocampal cortex, superior temporal gyrus and insula. Overall, both state anhedonia and PRS-anhedonia were associated with individual differences in multiple brain structures, including within reward-related circuits. These associations may represent vulnerability markers for psychopathology relevant to a range of psychiatric disorders.
Collapse
Affiliation(s)
- Xingxing Zhu
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
| | - Joey Ward
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Breda Cullen
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Donald M Lyall
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Rona J Strawbridge
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Health Data Research (HDR), Glasgow, UK
| | - Laura M Lyall
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Daniel J Smith
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, UK
| |
Collapse
|
39
|
Wellan SA, Daniels A, Walter H. State Anhedonia in Young Healthy Adults: Psychometric Properties of the German Dimensional Anhedonia Rating Scale (DARS) and Effects of the COVID-19 Pandemic. Front Psychol 2021; 12:682824. [PMID: 34248783 PMCID: PMC8260844 DOI: 10.3389/fpsyg.2021.682824] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 05/25/2021] [Indexed: 01/18/2023] Open
Abstract
Healthy reward processing is a complex interplay of several components. Recent self-report measures of anhedonia, the decrease or loss of hedonic capacity, take this complexity into account. The Dimensional Anhedonia Rating Scale (DARS) measures interest, motivation, effort and consummatory pleasure across four domains: hobbies, food/drink, social activities and sensory experiences. In the present cross-sectional survey study, we validated the German version of the DARS in a sample of 557 young healthy adults. Factor structure as well as convergent and divergent validity were assessed. As a secondary aim, we examined the effects of the COVID-19 pandemic on state anhedonia and depression severity. Our results suggest good convergent and divergent validity and high internal consistency of the German DARS. The original differentiation of four factors mapping onto the four domains was confirmed and measurement invariance before and during the COVID-19 pandemic was established. We conclude that the DARS is a valid instrument to comprehensively assess state anhedonia in healthy German samples. Future studies should further assess the utility of the German DARS in clinical contexts. In line with many previous studies, participants during the pandemic reported significantly higher levels of depressive symptoms compared to participants in the months before. We found no indication that the COVID-19 pandemic affected state hedonic capacity.
Collapse
Affiliation(s)
- Sarah A. Wellan
- Research Division of Mind and Brain, Department of Psychiatry and Psychotherapy Campus Charité Mitte, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin School of Mind and Brain, Faculty of Philosophy, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Anna Daniels
- Research Division of Mind and Brain, Department of Psychiatry and Psychotherapy Campus Charité Mitte, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin School of Mind and Brain, Faculty of Philosophy, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Henrik Walter
- Research Division of Mind and Brain, Department of Psychiatry and Psychotherapy Campus Charité Mitte, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin School of Mind and Brain, Faculty of Philosophy, Humboldt-Universität zu Berlin, Berlin, Germany
| |
Collapse
|
40
|
Shaw SR, El-Omar H, Roquet D, Hodges JR, Piguet O, Ahmed RM, Whitton AE, Irish M. Uncovering the prevalence and neural substrates of anhedonia in frontotemporal dementia. Brain 2021; 144:1551-1564. [PMID: 33843983 DOI: 10.1093/brain/awab032] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 10/21/2020] [Accepted: 11/30/2020] [Indexed: 12/14/2022] Open
Abstract
Much of human behaviour is motivated by the drive to experience pleasure. The capacity to envisage pleasurable outcomes and to engage in goal-directed behaviour to secure these outcomes depends upon the integrity of frontostriatal circuits in the brain. Anhedonia refers to the diminished ability to experience, and to pursue, pleasurable outcomes, and represents a prominent motivational disturbance in neuropsychiatric disorders. Despite increasing evidence of motivational disturbances in frontotemporal dementia (FTD), no study to date has explored the hedonic experience in these syndromes. Here, we present the first study to document the prevalence and neural correlates of anhedonia in FTD in comparison with Alzheimer's disease, and its potential overlap with related motivational symptoms including apathy and depression. A total of 172 participants were recruited, including 87 FTD, 34 Alzheimer's disease, and 51 healthy older control participants. Within the FTD group, 55 cases were diagnosed with clinically probable behavioural variant FTD, 24 presented with semantic dementia, and eight cases had progressive non-fluent aphasia (PNFA). Premorbid and current anhedonia was measured using the Snaith-Hamilton Pleasure Scale, while apathy was assessed using the Dimensional Apathy Scale, and depression was indexed via the Depression, Anxiety and Stress Scale. Whole-brain voxel-based morphometry analysis was used to examine associations between grey matter atrophy and levels of anhedonia, apathy, and depression in patients. Relative to controls, behavioural variant FTD and semantic dementia, but not PNFA or Alzheimer's disease, patients showed clinically significant anhedonia, representing a clear departure from pre-morbid levels. Voxel-based morphometry analyses revealed that anhedonia was associated with atrophy in an extended frontostriatal network including orbitofrontal and medial prefrontal, paracingulate and insular cortices, as well as the putamen. Although correlated on the behavioural level, the neural correlates of anhedonia were largely dissociable from that of apathy, with only a small region of overlap detected in the right orbitofrontal cortices whilst no overlapping regions were found between anhedonia and depression. This is the first study, to our knowledge, to demonstrate profound anhedonia in FTD syndromes, reflecting atrophy of predominantly frontostriatal brain regions specialized for hedonic tone. Our findings point to the importance of considering anhedonia as a primary presenting feature of behavioural variant FTD and semantic dementia, with distinct neural drivers to that of apathy or depression. Future studies will be essential to address the impact of anhedonia on everyday activities, and to inform the development of targeted interventions to improve quality of life in patients and their families.
Collapse
Affiliation(s)
- Siobhán R Shaw
- The University of Sydney, Brain and Mind Centre, Sydney, New South Wales, Australia.,The University of Sydney, School of Psychology, Sydney, New South Wales, Australia
| | - Hashim El-Omar
- The University of Sydney, Brain and Mind Centre, Sydney, New South Wales, Australia.,The University of Sydney, School of Psychology, Sydney, New South Wales, Australia
| | - Daniel Roquet
- The University of Sydney, Brain and Mind Centre, Sydney, New South Wales, Australia.,The University of Sydney, School of Psychology, Sydney, New South Wales, Australia
| | - John R Hodges
- The University of Sydney, Brain and Mind Centre, Sydney, New South Wales, Australia.,ARC Centre of Excellence in Cognition and its Disorders, Sydney, New South Wales, Australia.,The University of Sydney, School of Medical Sciences, Sydney, New South Wales, Australia
| | - Olivier Piguet
- The University of Sydney, Brain and Mind Centre, Sydney, New South Wales, Australia.,The University of Sydney, School of Psychology, Sydney, New South Wales, Australia.,ARC Centre of Excellence in Cognition and its Disorders, Sydney, New South Wales, Australia
| | - Rebekah M Ahmed
- The University of Sydney, Brain and Mind Centre, Sydney, New South Wales, Australia.,The University of Sydney, School of Medical Sciences, Sydney, New South Wales, Australia.,Memory and Cognition Clinic, Department of Clinical Neurosciences, Royal Prince Alfred Hospital, Sydney, Australia
| | - Alexis E Whitton
- Black Dog Institute, University of New South Wales, Sydney, New South Wales, Australia
| | - Muireann Irish
- The University of Sydney, Brain and Mind Centre, Sydney, New South Wales, Australia.,The University of Sydney, School of Psychology, Sydney, New South Wales, Australia.,ARC Centre of Excellence in Cognition and its Disorders, Sydney, New South Wales, Australia
| |
Collapse
|
41
|
Zheng H, Bergamino M, Ford BN, Kuplicki R, Yeh FC, Bodurka J, Burrows K, Hunt PW, Teague TK, Irwin MR, Yolken RH, Paulus MP, Savitz J. Replicable association between human cytomegalovirus infection and reduced white matter fractional anisotropy in major depressive disorder. Neuropsychopharmacology 2021; 46:928-938. [PMID: 33500556 PMCID: PMC8115597 DOI: 10.1038/s41386-021-00971-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 12/23/2020] [Accepted: 01/12/2021] [Indexed: 01/30/2023]
Abstract
Major depressive disorder (MDD) is associated with reductions in white matter microstructural integrity as measured by fractional anisotropy (FA), an index derived from diffusion tensor imaging (DTI). The neurotropic herpesvirus, human cytomegalovirus (HCMV), is a major cause of white matter pathology in immunosuppressed populations but its relationship with FA has never been tested in MDD despite the presence of inflammation and weakened antiviral immunity in a subset of depressed patients. We tested the relationship between FA and HCMV infection in two independent samples consisting of 176 individuals with MDD and 44 healthy controls (HC) (Discovery sample) and 88 participants with MDD and 48 HCs (Replication sample). Equal numbers of HCMV positive (HCMV+) and HCMV negative (HCMV-) groups within each sample were balanced on ten different clinical/demographic variables using propensity score matching. Anti-HCMV IgG antibodies were measured using a solid-phase ELISA. In the Discovery sample, significantly lower FA was observed in the right inferior fronto-occipital fasciculus (IFOF) in HCMV+ participants with MDD compared to HCMV- participants with MDD (cluster size 1316 mm3; pFWE < 0.05, d = -0.58). This association was confirmed in the replication sample by extracting the mean FA from this exact cluster and applying the identical statistical model (p < 0.05, d = -0.45). There was no significant effect of diagnosis or interaction between diagnosis and HCMV in either sample. The effect of chronic HCMV infection on white matter integrity may-in at-risk individuals-contribute to the psychopathology of depression. These findings may provide a novel target of intervention for a subgroup of patients with MDD.
Collapse
Affiliation(s)
- Haixia Zheng
- Laureate Institute for Brain Research, Tulsa, OK, USA.
| | - Maurizio Bergamino
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Bart N Ford
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | | | - Fang-Cheng Yeh
- Department of Neurological Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jerzy Bodurka
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, USA
| | | | - Peter W Hunt
- Department of Medicine, School of Medicine, The University of California, San Francisco, San Francisco, CA, USA
| | - T Kent Teague
- Department of Surgery, University of Oklahoma School of Community Medicine, Tulsa, OK, USA
- Department of Psychiatry, University of Oklahoma School of Community Medicine, Tulsa, OK, USA
- Department of Biochemistry and Microbiology, Oklahoma State University Center for Health Sciences, Tulsa, OK, USA
| | - Michael R Irwin
- Cousins Center for Psychoneuroimmunology at UCLA, Los Angeles, CA, USA
- Semel Institute for Neuroscience at UCLA, Los Angeles, CA, USA
- David Geffen School of Medicine, Los Angeles, CA, USA
| | - Robert H Yolken
- Stanley Division of Developmental Neurovirology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Martin P Paulus
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Oxley College of Health Sciences, The University of Tulsa, Tulsa, OK, USA
| | - Jonathan Savitz
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Oxley College of Health Sciences, The University of Tulsa, Tulsa, OK, USA
| |
Collapse
|
42
|
Kotov R, Krueger RF, Watson D, Cicero DC, Conway CC, DeYoung CG, Eaton NR, Forbes MK, Hallquist MN, Latzman RD, Mullins-Sweatt SN, Ruggero CJ, Simms LJ, Waldman ID, Waszczuk MA, Wright AGC. The Hierarchical Taxonomy of Psychopathology (HiTOP): A Quantitative Nosology Based on Consensus of Evidence. Annu Rev Clin Psychol 2021; 17:83-108. [PMID: 33577350 DOI: 10.1146/annurev-clinpsy-081219-093304] [Citation(s) in RCA: 182] [Impact Index Per Article: 60.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Traditional diagnostic systems went beyond empirical evidence on the structure of mental health. Consequently, these diagnoses do not depict psychopathology accurately, and their validity in research and utility in clinicalpractice are therefore limited. The Hierarchical Taxonomy of Psychopathology (HiTOP) consortium proposed a model based on structural evidence. It addresses problems of diagnostic heterogeneity, comorbidity, and unreliability. We review the HiTOP model, supporting evidence, and conceptualization of psychopathology in this hierarchical dimensional framework. The system is not yet comprehensive, and we describe the processes for improving and expanding it. We summarize data on the ability of HiTOP to predict and explain etiology (genetic, environmental, and neurobiological), risk factors, outcomes, and treatment response. We describe progress in the development of HiTOP-based measures and in clinical implementation of the system. Finally, we review outstanding challenges and the research agenda. HiTOP is of practical utility already, and its ongoing development will produce a transformative map of psychopathology.
Collapse
Affiliation(s)
- Roman Kotov
- Departments of Psychiatry and Psychology, Stony Brook University, Stony Brook, New York 11794, USA;
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - David Watson
- Department of Psychology, University of Notre Dame, Notre Dame, Indiana 46556, USA
| | - David C Cicero
- Department of Psychology, University of North Texas, Denton, Texas 76203, USA
| | | | - Colin G DeYoung
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - Nicholas R Eaton
- Departments of Psychiatry and Psychology, Stony Brook University, Stony Brook, New York 11794, USA;
| | - Miriam K Forbes
- Centre for Emotional Health, Department of Psychology, Macquarie University, Macquarie Park, New South Wales 2109, Australia
| | - Michael N Hallquist
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
| | - Robert D Latzman
- Department of Psychology, Georgia State University, Atlanta, Georgia 30303, USA
| | | | - Camilo J Ruggero
- Department of Psychology, University of North Texas, Denton, Texas 76203, USA
| | - Leonard J Simms
- Department of Psychology, University at Buffalo, State University of New York, Buffalo, New York 14260, USA
| | - Irwin D Waldman
- Department of Psychology, Emory University, Atlanta, Georgia 30322, USA
| | - Monika A Waszczuk
- Department of Psychology, Rosalind Franklin University, North Chicago, Illinois 60064, USA
| | - Aidan G C Wright
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| |
Collapse
|
43
|
Buch AM, Liston C. Dissecting diagnostic heterogeneity in depression by integrating neuroimaging and genetics. Neuropsychopharmacology 2021; 46:156-175. [PMID: 32781460 PMCID: PMC7688954 DOI: 10.1038/s41386-020-00789-3] [Citation(s) in RCA: 113] [Impact Index Per Article: 37.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 07/07/2020] [Accepted: 07/16/2020] [Indexed: 12/12/2022]
Abstract
Depression is a heterogeneous and etiologically complex psychiatric syndrome, not a unitary disease entity, encompassing a broad spectrum of psychopathology arising from distinct pathophysiological mechanisms. Motivated by a need to advance our understanding of these mechanisms and develop new treatment strategies, there is a renewed interest in investigating the neurobiological basis of heterogeneity in depression and rethinking our approach to diagnosis for research purposes. Large-scale genome-wide association studies have now identified multiple genetic risk variants implicating excitatory neurotransmission and synapse function and underscoring a highly polygenic inheritance pattern that may be another important contributor to heterogeneity in depression. Here, we review various sources of phenotypic heterogeneity and approaches to defining and studying depression subtypes, including symptom-based subtypes and biology-based approaches to decomposing the depression syndrome. We review "dimensional," "categorical," and "hybrid" approaches to parsing phenotypic heterogeneity in depression and defining subtypes using functional neuroimaging. Next, we review recent progress in neuroimaging genetics (correlating neuroimaging patterns of brain function with genetic data) and its potential utility for generating testable hypotheses concerning molecular and circuit-level mechanisms. We discuss how genetic variants and transcriptomic profiles may confer risk for depression by modulating brain structure and function. We conclude by highlighting several promising areas for future research into the neurobiological underpinnings of heterogeneity, including efforts to understand sexually dimorphic mechanisms, the longitudinal dynamics of depressive episodes, and strategies for developing personalized treatments and facilitating clinical decision-making.
Collapse
Affiliation(s)
- Amanda M Buch
- Department of Psychiatry and Brain and Mind Research Institute, Weill Cornell Medicine, 413 East 69th Street, Box 240, New York, NY, 10021, USA
| | - Conor Liston
- Department of Psychiatry and Brain and Mind Research Institute, Weill Cornell Medicine, 413 East 69th Street, Box 240, New York, NY, 10021, USA.
| |
Collapse
|
44
|
Kirschner M, Schmidt A, Hodzic-Santor B, Burrer A, Manoliu A, Zeighami Y, Yau Y, Abbasi N, Maatz A, Habermeyer B, Abivardi A, Avram M, Brandl F, Sorg C, Homan P, Riecher-Rössler A, Borgwardt S, Seifritz E, Dagher A, Kaiser S. Orbitofrontal-Striatal Structural Alterations Linked to Negative Symptoms at Different Stages of the Schizophrenia Spectrum. Schizophr Bull 2020; 47:849-863. [PMID: 33257954 PMCID: PMC8084448 DOI: 10.1093/schbul/sbaa169] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Negative symptoms such as anhedonia and apathy are among the most debilitating manifestations of schizophrenia (SZ). Imaging studies have linked these symptoms to morphometric abnormalities in 2 brain regions implicated in reward and motivation: the orbitofrontal cortex (OFC) and striatum. Higher negative symptoms are generally associated with reduced OFC thickness, while higher apathy specifically maps to reduced striatal volume. However, it remains unclear whether these tissue losses are a consequence of chronic illness and its treatment or an underlying phenotypic trait. Here, we use multicentre magnetic resonance imaging data to investigate orbitofrontal-striatal abnormalities across the SZ spectrum from healthy populations with high schizotypy to unmedicated and medicated first-episode psychosis (FEP), and patients with chronic SZ. Putamen, caudate, accumbens volume, and OFC thickness were estimated from T1-weighted images acquired in all 3 diagnostic groups and controls from 4 sites (n = 337). Results were first established in 1 discovery dataset and replicated in 3 independent samples. There was a negative correlation between apathy and putamen/accumbens volume only in healthy individuals with schizotypy; however, medicated patients exhibited larger putamen volume, which appears to be a consequence of antipsychotic medications. The negative association between reduced OFC thickness and total negative symptoms also appeared to vary along the SZ spectrum, being significant only in FEP patients. In schizotypy, there was increased OFC thickness relative to controls. Our findings suggest that negative symptoms are associated with a temporal continuum of orbitofrontal-striatal abnormalities that may predate the occurrence of SZ. Thicker OFC in schizotypy may represent either compensatory or pathological mechanisms prior to the disease onset.
Collapse
Affiliation(s)
- Matthias Kirschner
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada,Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland,To whom correspondence should be addressed; 3801 Rue University, Montréal QC, H3A 2B4 Canada; tel: +1 514-398-1726, fax: +1 514–398–8948, e-mail:
| | - André Schmidt
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | | | - Achim Burrer
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Andrei Manoliu
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland,Wellcome Centre for Human Neuroimaging, University College London, London, UK,Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, UK
| | - Yashar Zeighami
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Yvonne Yau
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Nooshin Abbasi
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Anke Maatz
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | | | - Aslan Abivardi
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Mihai Avram
- Department of Neuroradiology and TUM-NIC Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany,Department of Psychiatry, Psychosomatics and Psychotherapy, Schleswig Holstein University Hospital, University Lübeck, Lübeck Germany
| | - Felix Brandl
- Department of Psychiatry and TUM-NIC Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Christian Sorg
- Department of Neuroradiology and TUM-NIC Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany,Department of Psychiatry and TUM-NIC Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Philipp Homan
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY,Division of Psychiatry Research, Zucker Hillside Hospital, Northwell Health, New York, NY,Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Northwell/Hofstra, Hempstead, NY
| | | | - Stefan Borgwardt
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | - Erich Seifritz
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Alain Dagher
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Stefan Kaiser
- Department of Psychiatry, Division of Adult Psychiatry, Geneva University Hospitals, Geneva, Switzerland
| |
Collapse
|
45
|
Fabbri C, Serretti A. How to Utilize Clinical and Genetic Information for Personalized Treatment of Major Depressive Disorder: Step by Step Strategic Approach. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE : THE OFFICIAL SCIENTIFIC JOURNAL OF THE KOREAN COLLEGE OF NEUROPSYCHOPHARMACOLOGY 2020; 18:484-492. [PMID: 33124583 PMCID: PMC7609216 DOI: 10.9758/cpn.2020.18.4.484] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 08/25/2020] [Indexed: 02/06/2023]
Abstract
Depression is the single largest contributor to non-fatal health loss and affects 322 million people globally. The clinical heterogeneity of this disorder shows biological correlates and it makes the personalization of antidepressant prescription an important pillar of treatment. There is increasing evidence of genetic overlap between depression, other psychiatric and non-psychiatric disorders, which varies across depression subtypes. Therefore, the first step of clinical evaluation should include a careful assessment of psychopathology and physical health, not limited to previously diagnosed disorders. In part of the patients indeed the pathogenesis of depression may be strictly linked to inflammatory and metabolic abnormalities, and the treatment should target these as much as the depressive symptoms themselves. When the evaluation of the symptom and drug tolerability profile, the concomitant biochemical abnormalities and physical conditions is not enough and at least one pharmacotherapy failed, the genotyping of variants in CYP2D6/CYP2C19 (cytochromes responsible for antidepressant metabolism) should be considered. Individuals with altered metabolism through one of these enzymes may benefit from some antidepressants rather than others or need dose adjustments. Finally, if available, the polygenic predisposition towards cardio-metabolic disorders can be integrated with non-genetic risk factors to tune the identification of patients who should avoid medications associated with this type of side effects. A sufficient knowledge of the polygenic risk of complex medical and psychiatric conditions is becoming relevant as this information can be obtained through direct-to-consumer genetic tests and in the future it may provided by national health care systems.
Collapse
Affiliation(s)
- Chiara Fabbri
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| |
Collapse
|
46
|
Torres-Berrío A, Hernandez G, Nestler EJ, Flores C. The Netrin-1/DCC Guidance Cue Pathway as a Molecular Target in Depression: Translational Evidence. Biol Psychiatry 2020; 88:611-624. [PMID: 32593422 PMCID: PMC7529861 DOI: 10.1016/j.biopsych.2020.04.025] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 04/14/2020] [Accepted: 04/28/2020] [Indexed: 12/15/2022]
Abstract
The Netrin-1/DCC guidance cue pathway plays a critical role in guiding growing axons toward the prefrontal cortex during adolescence and in the maturational organization and adult plasticity of prefrontal cortex connectivity. In this review, we put forward the idea that alterations in prefrontal cortex architecture and function, which are intrinsically linked to the development of major depressive disorder, originate in part from the dysregulation of the Netrin-1/DCC pathway by a mechanism that involves microRNA-218. We discuss evidence derived from mouse models of stress and from human postmortem brain and genome-wide association studies indicating an association between the Netrin-1/DCC pathway and major depressive disorder. We propose a potential role of circulating microRNA-218 as a biomarker of stress vulnerability and major depressive disorder.
Collapse
Affiliation(s)
- Angélica Torres-Berrío
- Integrated Program in Neuroscience, Montreal, Quebec, Canada; Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - Eric J Nestler
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Cecilia Flores
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada.
| |
Collapse
|
47
|
Dissecting clinical heterogeneity of bipolar disorder using multiple polygenic risk scores. Transl Psychiatry 2020; 10:314. [PMID: 32948743 PMCID: PMC7501305 DOI: 10.1038/s41398-020-00996-y] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 08/10/2020] [Accepted: 09/03/2020] [Indexed: 12/17/2022] Open
Abstract
Bipolar disorder (BD) has high clinical heterogeneity, frequent psychiatric comorbidities, and elevated suicide risk. To determine genetic differences between common clinical sub-phenotypes of BD, we performed a systematic polygenic risk score (PRS) analysis using multiple PRSs from a range of psychiatric, personality, and lifestyle traits to dissect differences in BD sub-phenotypes in two BD cohorts: the Mayo Clinic BD Biobank (N = 968) and Genetic Association Information Network (N = 1001). Participants were assessed for history of psychosis, early-onset BD, rapid cycling (defined as four or more episodes in a year), and suicide attempts using questionnaires and the Structured Clinical Interview for DSM-IV. In a combined sample of 1969 bipolar cases (45.5% male), those with psychosis had higher PRS for SCZ (OR = 1.3 per S.D.; p = 3e-5) but lower PRSs for anhedonia (OR = 0.87; p = 0.003) and BMI (OR = 0.87; p = 0.003). Rapid cycling cases had higher PRS for ADHD (OR = 1.23; p = 7e-5) and MDD (OR = 1.23; p = 4e-5) and lower BD PRS (OR = 0.8; p = 0.004). Cases with a suicide attempt had higher PRS for MDD (OR = 1.26; p = 1e-6) and anhedonia (OR = 1.22; p = 2e-5) as well as lower PRS for educational attainment (OR = 0.87; p = 0.003). The observed novel PRS associations with sub-phenotypes align with clinical observations such as rapid cycling BD patients having a greater lifetime prevalence of ADHD. Our findings confirm that genetic heterogeneity contributes to clinical heterogeneity of BD and consideration of genetic contribution to psychopathologic components of psychiatric disorders may improve genetic prediction of complex psychiatric disorders.
Collapse
|
48
|
Apathy is not associated with reduced ventral striatal volume in patients with schizophrenia. Schizophr Res 2020; 223:279-288. [PMID: 32928618 DOI: 10.1016/j.schres.2020.08.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2020] [Revised: 05/04/2020] [Accepted: 08/24/2020] [Indexed: 01/18/2023]
Abstract
BACKGROUND A growing body of neuroimaging research has revealed a relationship between blunted activation of the ventral striatum (VS) and apathy in schizophrenia. In contrast, the association between reduced striatal volume and apathy is less well established, while the relationship between VS function and structure in patients with schizophrenia remains an open question. Here, we aimed to replicate previous structural findings in a larger independent sample and to investigate the relationship between VS hypoactivation and VS volume. METHODS We included brain structural magnetic resonance imaging (MRI) data from 60 patients with schizophrenia (SZ) that had shown an association of VS hypoactivation with apathy during reward anticipation and 58 healthy controls (HC). To improve replicability, we applied analytical methods employed in two previously published studies: Voxel-based morphometry and the Multiple Automatically Generated Templates (MAGeT) algorithm. VS and dorsal striatum (DS) volume were correlated with apathy correcting for age, gender and total brain volume. Additionally, left VS activity was correlated with left VS volume. RESULTS We failed to replicate the association between apathy and reduced VS volume and did not find a correlation with DS volume. Functional and structural left VS measures exhibited a trend-level correlation (rs = 0.248, p = 0.067, r2 = 0.06). CONCLUSIONS Our present data suggests that functional and structural striatal neuroimaging correlates of apathy can occur independently. Replication of previous findings may have been limited by other factors (medication, illness duration, age) potentially related to striatal volume changes in SZ. Finally, associations between reward-related VS function and structure should be further explored.
Collapse
|
49
|
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: 59] [Impact Index Per Article: 14.8] [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
|
50
|
Association between GLP-1 receptor gene polymorphisms with reward learning, anhedonia and depression diagnosis. Acta Neuropsychiatr 2020; 32:218-225. [PMID: 32213216 PMCID: PMC7351594 DOI: 10.1017/neu.2020.14] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Glucagon-like peptide-1 receptors (GLP-1Rs) are widely expressed in the brain. Evidence suggests that they may play a role in reward responses and neuroprotection. However, the association of GLP-1R with anhedonia and depression diagnosis has not been studied. Here, we examined the association of GLP-1R polymorphisms with objective and subjective measures of anhedonia, as well as depression diagnosis. METHODS Objective [response bias assessed by the probabilistic reward task (PRT)] and subjective [Snaith-Hamilton Pleasure Scale (SHAPS)] measures of anhedonia, clinical variables and DNA samples were collected from 100 controls and 164 patients at McLean Hospital. An independent sample genotyped as part of the Psychiatric Genomics Consortium (PGC) was used to study the effect of putative GLP-1R polymorphisms linked to response bias in PRT on depression diagnosis. RESULTS The C allele in rs1042044 was significantly associated with increased PRT response bias, when controlling for age, sex, case-control status and PRT discriminability. AA genotype of rs1042044 showed higher anhedonia phenotype based on SHAPS scores. However, analysis of PGC major depressive disorder data showed no association between rs1042044 and depression diagnosis. CONCLUSION Findings suggest a possible association of rs1042044 with anhedonia but no association with depression diagnosis.
Collapse
|