1
|
Bertocci MA, Rozovsky R, Wolfe M, Abdul-Waalee H, Chobany M, Malgireddy G, Hart JA, Skeba A, Brady T, Lepore B, Versace A, Chase HW, Birmaher B, Phillips ML, Diler RS. Neural markers of mania that distinguish inpatient adolescents with bipolar disorder from those with other psychopathology. Psychiatry Res 2024; 333:115747. [PMID: 38301286 PMCID: PMC10922873 DOI: 10.1016/j.psychres.2024.115747] [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: 10/31/2023] [Revised: 01/14/2024] [Accepted: 01/19/2024] [Indexed: 02/03/2024]
Abstract
Pediatric bipolar disorder (BD) is difficult to distinguish from other psychiatric disorders, a challenge which can result in delayed or incorrect interventions. Using neuroimaging we aimed to identify neural measures differentiating a rarified sample of inpatient adolescents with BD from other inpatient psychopathology (OP) and healthy adolescents (HC) during a reward task. We hypothesized reduced subcortical and elevated cortical activation in BD relative to other groups, and that these markers will be related to self-reported mania scores. We examined inpatient adolescents with diagnosis of BD-I/II (n = 29), OP (n = 43), and HC (n = 20) from the Inpatient Child and Adolescent Bipolar Spectrum Imaging study. Inpatient adolescents with BD showed reduced activity in right thalamus, left thalamus, and left amygdala, relative to inpatient adolescents with OP and HC. This reduced neural function explained 21% of the variance in past month and 23% of the variance in lifetime mania scores. Lower activity in regions associated with the reward network, during reward processing, differentiates BD from OP in inpatient adolescents and explains >20% of the variance in mania scores. These findings highlight potential targets to aid earlier identification of, and guide new treatment developments for, pediatric BD.
Collapse
Affiliation(s)
- Michele A Bertocci
- Department of Psychiatry, University of Pittsburgh, 121 Meyran Avenue, 120 Loeffler Building, Pittsburgh, PA 15213, USA.
| | - Renata Rozovsky
- Department of Psychiatry, University of Pittsburgh, 121 Meyran Avenue, 120 Loeffler Building, Pittsburgh, PA 15213, USA
| | - Maria Wolfe
- University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA
| | | | - Mariah Chobany
- University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA
| | | | - Jonathan A Hart
- University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA
| | - Alex Skeba
- University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA
| | - Tyler Brady
- University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA
| | - Brianna Lepore
- University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA
| | - Amelia Versace
- Department of Psychiatry, University of Pittsburgh, 121 Meyran Avenue, 120 Loeffler Building, Pittsburgh, PA 15213, USA
| | - Henry W Chase
- Department of Psychiatry, University of Pittsburgh, 121 Meyran Avenue, 120 Loeffler Building, Pittsburgh, PA 15213, USA
| | - Boris Birmaher
- Department of Psychiatry, University of Pittsburgh, 121 Meyran Avenue, 120 Loeffler Building, Pittsburgh, PA 15213, USA; University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh, 121 Meyran Avenue, 120 Loeffler Building, Pittsburgh, PA 15213, USA
| | - Rasim S Diler
- Department of Psychiatry, University of Pittsburgh, 121 Meyran Avenue, 120 Loeffler Building, Pittsburgh, PA 15213, USA; University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, USA
| |
Collapse
|
2
|
Solomonov N, Victoria LW, Lyons K, Phan DK, Alexopoulos GS, Gunning FM, Flückiger C. Social reward processing in depressed and healthy individuals across the lifespan: A systematic review and a preliminary coordinate-based meta-analysis of fMRI studies. Behav Brain Res 2023; 454:114632. [PMID: 37598904 PMCID: PMC10557626 DOI: 10.1016/j.bbr.2023.114632] [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: 11/04/2022] [Revised: 08/08/2023] [Accepted: 08/14/2023] [Indexed: 08/22/2023]
Abstract
BACKGROUND Social rewards (e.g., social feedback, praise, and social interactions) are fundamental to social learning and relationships across the life span. Exposure to social rewards is linked to activation in key brain regions, that are impaired in major depression. This is the first summary of neuroimaging literature on social reward processing in depressed and healthy individuals. METHOD We screened 409 studies and identified 25 investigating task-based fMRI activation during exposure to social stimuli in depressed and healthy populations across the lifespan. We conducted a systematic review followed by an Activation Likelihood Estimation (ALE) analysis of three main contrasts: a) positive social feedback vs. neutral stimuli; b) negative social feedback vs. neutral stimuli; c) positive vs. negative social feedback. We also compared activation patterns in depressed versus healthy controls. RESULTS Systematic review revealed that social rewards elicit increased activation in subcortical reward regions (NAcc, amygdala, ventral striatum, thalamus) in healthy and depressed individuals; and decreased activation in prefrontal reward regions (medial prefrontal cortex, orbitofrontal cortex) among depressed persons. Our meta-analysis showed, in both depressed and healthy individuals, increased cluster activation of the putamen and caudate in response to negative social stimuli vs. positive stimuli. We also found increased cluster activation in the inferior frontal gyrus (IFG) and the medial frontal gyrus (MFG) in healthy controls vs. depressed individuals, in response to negative social stimuli. CONCLUSIONS Processing of social stimuli elicits activation of key brain regions involved in affective and social information processing. Interventions for depression can increase social reward responsivity to improve outcomes.
Collapse
Affiliation(s)
- Nili Solomonov
- Weill Cornell Institute of Geriatric Psychiatry, Weill Cornell Medicine, White Plains, NY, USA.
| | - Lindsay W Victoria
- Weill Cornell Institute of Geriatric Psychiatry, Weill Cornell Medicine, White Plains, NY, USA
| | - Krystalle Lyons
- Weill Cornell Institute of Geriatric Psychiatry, Weill Cornell Medicine, White Plains, NY, USA
| | - Dustin K Phan
- Weill Cornell Institute of Geriatric Psychiatry, Weill Cornell Medicine, White Plains, NY, USA; University of Kassel, Germany
| | - George S Alexopoulos
- Weill Cornell Institute of Geriatric Psychiatry, Weill Cornell Medicine, White Plains, NY, USA
| | - Faith M Gunning
- Weill Cornell Institute of Geriatric Psychiatry, Weill Cornell Medicine, White Plains, NY, USA
| | | |
Collapse
|
3
|
Reinhardt PR, Theis CDC, Juckel G, Freund N. Rodent models for mood disorders - understanding molecular changes by investigating social behavior. Biol Chem 2023; 404:939-950. [PMID: 37632729 DOI: 10.1515/hsz-2023-0190] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 08/14/2023] [Indexed: 08/28/2023]
Abstract
Mood disorders, including depressive and bipolar disorders, are the group of psychiatric disorders with the highest prevalence and disease burden. However, their pathophysiology remains poorly understood. Animal models are an extremely useful tool for the investigation of molecular mechanisms underlying these disorders. For psychiatric symptom assessment in animals, a meaningful behavioral phenotype is needed. Social behaviors constitute naturally occurring complex behaviors in rodents and can therefore serve as such a phenotype, contributing to insights into disorder related molecular changes. In this narrative review, we give a fundamental overview of social behaviors in laboratory rodents, as well as their underlying neuronal mechanisms and their assessment. Relevant behavioral and molecular changes in models for mood disorders are presented and an outlook on promising future directions is given.
Collapse
Affiliation(s)
- Patrick R Reinhardt
- Division of Experimental and Molecular Psychiatry, Department of Psychiatry, Psychotherapy and Preventive Medicine, LWL-University Hospital, Ruhr-University Bochum, D-44791 Bochum, Germany
- International Graduate School of Neuroscience, Ruhr-University Bochum, D-44801 Bochum, Germany
| | - Candy D C Theis
- Division of Experimental and Molecular Psychiatry, Department of Psychiatry, Psychotherapy and Preventive Medicine, LWL-University Hospital, Ruhr-University Bochum, D-44791 Bochum, Germany
| | - Georg Juckel
- Division of Experimental and Molecular Psychiatry, Department of Psychiatry, Psychotherapy and Preventive Medicine, LWL-University Hospital, Ruhr-University Bochum, D-44791 Bochum, Germany
| | - Nadja Freund
- Division of Experimental and Molecular Psychiatry, Department of Psychiatry, Psychotherapy and Preventive Medicine, LWL-University Hospital, Ruhr-University Bochum, D-44791 Bochum, Germany
| |
Collapse
|
4
|
Fares-Otero NE, De Prisco M, Oliva V, Radua J, Halligan SL, Vieta E, Martinez-Aran A. Association between childhood maltreatment and social functioning in individuals with affective disorders: A systematic review and meta-analysis. Acta Psychiatr Scand 2023. [PMID: 37105552 DOI: 10.1111/acps.13557] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 04/06/2023] [Accepted: 04/08/2023] [Indexed: 04/29/2023]
Abstract
OBJECTIVE Childhood maltreatment has been linked to impairments in social functioning and social cognition in adults with affective disorders. However, conclusions have been limited by inconsistent findings across different maltreatment subtypes and social domains. We conducted a systematic review and meta-analysis to quantify associations between childhood maltreatment (overall and subtypes - physical, emotional and/or sexual abuse, and/or physical and/or emotional neglect) and different domains of social functioning and social cognition in adults with affective disorders (bipolar disorder or major depressive disorder). We also examined effect moderators and mediators of these associations. METHODS A systematic search was performed on 12.12.2022 which identified 29 studies included in qualitative synthesis (n = 3022 individuals with affective disorders), of which 27 (n = 2957) were pooled in meta-analyses. Across studies, five social functioning and five social cognition domains were examined, of which four domains of social functioning and two domains of social cognition had sufficient data for meta-analysis (PROSPERO CRD42022288976). RESULTS Social functioning: childhood maltreatment was associated with lower global social functioning (r = -0.11 to -0.20), poorer interpersonal relations (r = -0.18 to -0.33), and with aggressive behaviour (r = 0.20-0.29) but was unrelated to vocational functioning. Emotional abuse and emotional neglect showed the largest magnitudes of effect. Social cognition: there was no meta-analytic evidence of associations between maltreatment and social cognition domains. Exploratory moderation analyses did not identify any consistent moderators. Narrative synthesis identified attachment style as possible moderator, and sensory patterns, anxiety, and depressive symptoms as possible mediators between childhood maltreatment and social outcomes. Overall, the available evidence was limited, particularly in relation to social cognition. CONCLUSIONS Adults with affective disorders are at risk of social functioning difficulties after childhood maltreatment exposure, an effect observed across multiple maltreatment subtypes, social functioning domains, and diagnoses. Addressing social functioning problems may benefit maltreated adults with both bipolar disorder and major depressive disorder.
Collapse
Affiliation(s)
- Natalia E Fares-Otero
- Bipolar and Depressive Disorders Unit, Department of Psychiatry and Psychology, Hospital Clínic, Institute of Neurosciences (ICN), Department of Medicine, Faculty of Medicine and Health Sciences, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Network Centre for Biomedical Research in Mental Health (CIBERSAM), Health Institute Carlos III (ISCIII), Barcelona, Catalonia, Spain
| | - Michele De Prisco
- Bipolar and Depressive Disorders Unit, Department of Psychiatry and Psychology, Hospital Clínic, Institute of Neurosciences (ICN), Department of Medicine, Faculty of Medicine and Health Sciences, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Network Centre for Biomedical Research in Mental Health (CIBERSAM), Health Institute Carlos III (ISCIII), Barcelona, Catalonia, Spain
| | - Vincenzo Oliva
- Bipolar and Depressive Disorders Unit, Department of Psychiatry and Psychology, Hospital Clínic, Institute of Neurosciences (ICN), Department of Medicine, Faculty of Medicine and Health Sciences, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Network Centre for Biomedical Research in Mental Health (CIBERSAM), Health Institute Carlos III (ISCIII), Barcelona, Catalonia, Spain
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Joaquim Radua
- Bipolar and Depressive Disorders Unit, Department of Psychiatry and Psychology, Hospital Clínic, Institute of Neurosciences (ICN), Department of Medicine, Faculty of Medicine and Health Sciences, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Network Centre for Biomedical Research in Mental Health (CIBERSAM), Health Institute Carlos III (ISCIII), Barcelona, Catalonia, Spain
- Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Sarah L Halligan
- Department of Psychology, University of Bath, Bath, UK
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Department of Psychiatry and Psychology, Hospital Clínic, Institute of Neurosciences (ICN), Department of Medicine, Faculty of Medicine and Health Sciences, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Network Centre for Biomedical Research in Mental Health (CIBERSAM), Health Institute Carlos III (ISCIII), Barcelona, Catalonia, Spain
| | - Anabel Martinez-Aran
- Bipolar and Depressive Disorders Unit, Department of Psychiatry and Psychology, Hospital Clínic, Institute of Neurosciences (ICN), Department of Medicine, Faculty of Medicine and Health Sciences, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Network Centre for Biomedical Research in Mental Health (CIBERSAM), Health Institute Carlos III (ISCIII), Barcelona, Catalonia, Spain
| |
Collapse
|
5
|
Allain F, Carter M, Dumas S, Darcq E, Kieffer BL. The mu opioid receptor and the orphan receptor GPR151 contribute to social reward in the habenula. Sci Rep 2022; 12:20234. [PMID: 36424418 PMCID: PMC9691715 DOI: 10.1038/s41598-022-24395-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 11/15/2022] [Indexed: 11/27/2022] Open
Abstract
The mu opioid receptor (MOR) and the orphan GPR151 receptor are inhibitory G protein coupled receptors that are enriched in the habenula, a small brain region involved in aversion processing, addiction and mood disorders. While MOR expression in the brain is widespread, GPR151 expression is restricted to the habenula. In a previous report, we created conditional ChrnB4-Cre × Oprm1fl/fl (so-called B4MOR) mice, where MORs are deleted specifically in Chrnb4-positive neurons restricted to the habenula, and shown a role for these receptors in naloxone aversion. Here we characterized the implication of habenular MORs in social behaviors. B4MOR-/- mice and B4MOR+/+ mice were compared in several social behavior measures, including the chronic social stress defeat (CSDS) paradigm, the social preference (SP) test and social conditioned place preference (sCPP). In the CSDS, B4MOR-/- mice showed lower preference for the social target (unfamiliar mouse of a different strain) at baseline, providing a first indication of deficient social interactions in mice lacking habenular MORs. In the SP test, B4MOR-/- mice further showed reduced sociability for an unfamiliar conspecific mouse. In the sCPP, B4MOR-/- mice also showed impaired place preference for their previous familiar littermates after social isolation. We next created and tested Gpr151-/- mice in the SP test, and also found reduced social preference compared to Gpr151+/+ mice. Altogether our results support the underexplored notion that the habenula regulates social behaviors. Also, our data suggest that the inhibitory habenular MOR and GPR151 receptors normally promote social reward, possibly by dampening the aversive habenula activity.
Collapse
Affiliation(s)
- Florence Allain
- Department of Psychiatry, Douglas Hospital Research Center, McGill University, Montreal, Canada
- INSERM U1114, Centre de Recherche en Biomédecine de Strasbourg, Université de Strasbourg, 1 rue Eugène Boeckel, CS60026, 67084, Strasbourg Cedex, France
| | - Michelle Carter
- Department of Psychiatry, Douglas Hospital Research Center, McGill University, Montreal, Canada
| | | | - Emmanuel Darcq
- Department of Psychiatry, Douglas Hospital Research Center, McGill University, Montreal, Canada
- INSERM U1114, Centre de Recherche en Biomédecine de Strasbourg, Université de Strasbourg, 1 rue Eugène Boeckel, CS60026, 67084, Strasbourg Cedex, France
| | - Brigitte L Kieffer
- Department of Psychiatry, Douglas Hospital Research Center, McGill University, Montreal, Canada.
- INSERM U1114, Centre de Recherche en Biomédecine de Strasbourg, Université de Strasbourg, 1 rue Eugène Boeckel, CS60026, 67084, Strasbourg Cedex, France.
| |
Collapse
|
6
|
Social thinning and stress generation after childhood maltreatment: a neurocognitive social transactional model of psychiatric vulnerability. Lancet Psychiatry 2022; 9:828-837. [PMID: 35926524 DOI: 10.1016/s2215-0366(22)00202-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 05/11/2022] [Accepted: 05/25/2022] [Indexed: 11/23/2022]
Abstract
Childhood maltreatment is associated with significant, enduring risk of psychiatric disorder. In this paper, we review how neurocognitive alterations after maltreatment might indirectly increase the risk of psychiatric disorder via their impact on social functioning. We propose a neurocognitive social transactional model, within which the neurocognitive sequelae of maltreatment are postulated to affect how an individual's social architecture is constructed across development, including the quality and quantity of relationships in an individual's social network. We review extant evidence in two areas in relation to maltreatment: stress generation (a process by which individuals are more likely to experience interpersonal stressor events) and social thinning (an attenuation in the number and quality of relationships over time). We consider how neurocognitive alterations could contribute to these interactive and autocatalytic social processes, which gradually impoverish an individual's actual or potential social environment and ultimately increase psychiatric risk. We conclude by considering the implications of this neurocognitive social transactional model for the prevention of psychiatric disorder after childhood maltreatment.
Collapse
|
7
|
Siegel-Ramsay JE, Bertocci MA, Wu B, Phillips ML, Strakowski SM, Almeida JRC. Distinguishing between depression in bipolar disorder and unipolar depression using magnetic resonance imaging: a systematic review. Bipolar Disord 2022; 24:474-498. [PMID: 35060259 DOI: 10.1111/bdi.13176] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Magnetic resonance imaging (MRI) studies comparing bipolar and unipolar depression characterize pathophysiological differences between these conditions. However, it is difficult to interpret the current literature due to differences in MRI modalities, analysis methods, and study designs. METHODS We conducted a systematic review of publications using MRI to compare individuals with bipolar and unipolar depression. We grouped studies according to MRI modality and task design. Within the discussion, we critically evaluated and summarized the functional MRI research and then further complemented these findings by reviewing the structural MRI literature. RESULTS We identified 88 MRI publications comparing participants with bipolar depression and unipolar depressive disorder. Compared to individuals with unipolar depression, participants with bipolar disorder exhibited heightened function, increased within network connectivity, and reduced grey matter volume in salience and central executive network brain regions. Group differences in default mode network function were less consistent but more closely associated with depressive symptoms in participants with unipolar depression but distractibility in bipolar depression. CONCLUSIONS When comparing mood disorder groups, the neuroimaging evidence suggests that individuals with bipolar disorder are more influenced by emotional and sensory processing when responding to their environment. In contrast, depressive symptoms and neurofunctional response to emotional stimuli were more closely associated with reduced central executive function and less adaptive cognitive control of emotionally oriented brain regions in unipolar depression. Researchers now need to replicate and refine network-level trends in these heterogeneous mood disorders and further characterize MRI markers associated with early disease onset, progression, and recovery.
Collapse
Affiliation(s)
- Jennifer E Siegel-Ramsay
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas, Austin, Texas, USA
| | - Michele A Bertocci
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Bryan Wu
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas, Austin, Texas, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Stephen M Strakowski
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas, Austin, Texas, USA
| | - Jorge R C Almeida
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas, Austin, Texas, USA
| |
Collapse
|
8
|
Zhang D, Shen J, Bi R, Zhang Y, Zhou F, Feng C, Gu R. Differentiating the abnormalities of social and monetary reward processing associated with depressive symptoms. Psychol Med 2022; 52:2080-2094. [PMID: 33143780 DOI: 10.1017/s0033291720003967] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND Reward dysfunction is a major dimension of depressive symptomatology, but it remains obscure if that dysfunction varies across different reward types. In this study, we focus on the abnormalities in anticipatory/consummatory processing of monetary and social reward associated with depressive symptoms. METHODS Forty participants with depressive symptoms and forty normal controls completed the monetary incentive delay (MID) and social incentive delay (SID) tasks with event-related potential (ERP) recording. RESULTS In the SID but not the MID task, both the behavioral hit rate and the ERP component contingent negative variation (CNV; indicating reward anticipation) were sensitive to the interaction between the grouping factor and reward magnitude; that is, the depressive group showed a lower hit rate and a smaller CNV to large-magnitude (but not small-magnitude) social reward cues compared to the control group. Further, these two indexes were correlated with each other. Meanwhile, the ERP components feedback-related negativity and P3 (indicating reward consumption) were sensitive to the main effect of depression across the MID and SID tasks, though this effect was more prominent in the SID task. CONCLUSIONS Overall, we suggest that depressive symptoms are associated with deficits in both the reward anticipation and reward consumption stages, particularly for social rewards. These findings have a potential to characterize the profile of functional impairment that comprises and maintains depression.
Collapse
Affiliation(s)
- Dandan Zhang
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610066, China
- School of Psychology, Shenzhen University, Shenzhen 518060, China
| | - Junshi Shen
- School of Psychology, Shenzhen University, Shenzhen 518060, China
| | - Rong Bi
- School of Psychology, Shenzhen University, Shenzhen 518060, China
| | - Yueyao Zhang
- School of Psychology, Shenzhen University, Shenzhen 518060, China
| | - Fang Zhou
- School of Psychology, Shenzhen University, Shenzhen 518060, China
| | - Chunliang Feng
- Guangdong Provincial Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou 510631, China
- Key Laboratory of Brain, Cognition and Education Sciences, South China Normal University, Ministry of Education, Guangzhou 510631, China
| | - Ruolei Gu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| |
Collapse
|
9
|
Altered brain activation during reward anticipation in bipolar disorder. Transl Psychiatry 2022; 12:300. [PMID: 35902559 PMCID: PMC9334601 DOI: 10.1038/s41398-022-02075-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 07/15/2022] [Accepted: 07/19/2022] [Indexed: 02/05/2023] Open
Abstract
Although altered reward sensitivity has been observed in individuals with bipolar disorder (BD), the brain function findings related to reward processing remain unexplored and inconsistent. This meta-analysis aimed to identify brain activation alterations underlying reward anticipation in BD. A systematic literature research was conducted to identify fMRI studies of reward-relevant tasks performed by BD individuals. Using Anisotropic Effect Size Signed Differential Mapping, whole-brain and ROI of the ventral striatum (VS) coordinate-based meta-analyses were performed to explore brain regions showing anomalous activation in individuals with BD compared to healthy controls (HC), respectively. A total of 21 studies were identified in the meta-analysis, 15 of which were included in the whole-brain meta-analysis and 17 in the ROI meta-analysis. The whole-brain meta-analysis revealed hypoactivation in the bilateral angular gyrus and right inferior frontal gyrus during reward anticipation in individuals with BD compared to HC. No significant activation differences were observed in bilateral VS between two groups by whole-brain or ROI-based meta-analysis. Individuals with BD type I and individuals with euthymic BD showed altered activation in prefrontal, angular, fusiform, middle occipital gyrus, and striatum. Hypoactivation in the right angular gyrus was positively correlated with the illness duration of BD. The present study reveals the potential neural mechanism underlying impairment in reward anticipation in BD. Some clinical features such as clinical subtype, mood state, and duration of illness confound the underlying neurobiological abnormality reward anticipation in BD. These findings may have implications for identifying clinically relevant biomarkers to guide intervention strategies for BD.
Collapse
|
10
|
Nimarko AF, Fischer AS, Hagan KE, Gorelik AJ, Lu Y, Young CJ, Singh MK. Neural Correlates of Positive Emotion Processing That Distinguish Healthy Youths at Familial Risk for Bipolar Versus Major Depressive Disorder. J Am Acad Child Adolesc Psychiatry 2021; 60:887-901. [PMID: 32738282 PMCID: PMC7855111 DOI: 10.1016/j.jaac.2020.07.890] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 06/17/2020] [Accepted: 07/23/2020] [Indexed: 01/05/2023]
Abstract
OBJECTIVE Familial risk for bipolar disorder (BD) or major depressive disorder (MDD) may lead to differential emotion processing signatures, resulting in unique neural vulnerability. METHOD Healthy offspring of a parent with BD (n = 29, "BD-risk") or MDD (n = 44, "MDD-risk") and healthy control youths without any personal or family psychopathology (n = 28, "HC") aged 8 to 17 years (13.64 ± 2.59 years) completed an implicit emotion-perception functional magnetic resonance imaging task. Whole-brain voxelwise and psychophysiological interaction analyses examined neural differences in activation and connectivity during emotion processing. Regression modeling tested for neural associations with behavioral strengths and difficulties and conversion to psychopathology at follow-up (3.71 ± 1.91 years). RESULTS BD-risk youth showed significantly reduced bilateral putamen activation, and decreased connectivity between the left putamen and the left ventral anterior cingulate cortex (vACC) and the right posterior cingulate cortex (PCC) during positive-valence emotion processing compared to MDD-risk and HC (Z >2.3; p <.001). Decreased left putamen-right PCC connectivity correlated with subsequent peer problems in BD-risk (β = -2.90; p <.05) and MDD-risk (β = -3.64; p < .05) groups. Decreased left (β = -0.09; p < .05) and right putamen activation (β = -0.07; p = .04) were associated with conversion to a mood or anxiety disorder in BD-risk youths. Decreased left putamen-right PCC connectivity was associated with a higher risk of conversion in BD-risk (HR = 8.28 , p < .01) and MDD-risk (HR = 2.31, p = .02) groups. CONCLUSION Reduced putamen activation and connectivity during positive emotion processing appear to distinguish BD-risk youths from MDD-risk and HC youths, and may represent a marker of vulnerability.
Collapse
Affiliation(s)
| | | | | | | | - Yvonne Lu
- Stanford University School of Medicine, California
| | | | | |
Collapse
|
11
|
Facilitating mGluR4 activity reverses the long-term deleterious consequences of chronic morphine exposure in male mice. Neuropsychopharmacology 2021; 46:1373-1385. [PMID: 33349673 PMCID: PMC8136479 DOI: 10.1038/s41386-020-00927-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 11/16/2020] [Accepted: 11/20/2020] [Indexed: 12/13/2022]
Abstract
Understanding the neurobiological underpinnings of abstinence from drugs of abuse is critical to allow better recovery and ensure relapse prevention in addicted subjects. By comparing the long-term transcriptional consequences of morphine and cocaine exposure, we identified the metabotropic glutamate receptor subtype 4 (mGluR4) as a promising pharmacological target in morphine abstinence. We evaluated the behavioral and molecular effects of facilitating mGluR4 activity in abstinent mice. Transcriptional regulation of marker genes of medium spiny neurons (MSNs) allowed best discriminating between 4-week morphine and cocaine abstinence in the nucleus accumbens (NAc). Among these markers, Grm4, encoding mGluR4, displayed down-regulated expression in the caudate putamen and NAc of morphine, but not cocaine, abstinent mice. Chronic administration of the mGluR4 positive allosteric modulator (PAM) VU0155041 (2.5 and 5 mg/kg) rescued social behavior, normalized stereotypies and anxiety and blunted locomotor sensitization in morphine abstinent mice. This treatment improved social preference but increased stereotypies in cocaine abstinent mice. Finally, the beneficial behavioral effects of VU0155041 treatment in morphine abstinent mice were correlated with restored expression of key MSN and neural activity marker genes in the NAc. This study reports that chronic administration of the mGluR4 PAM VU0155041 relieves long-term deleterious consequences of morphine exposure. It illustrates the neurobiological differences between opiate and psychostimulant abstinence and points to pharmacological repression of excessive activity of D2-MSNs in the NAc as a promising therapeutic lever in drug addiction.
Collapse
|
12
|
Tang G, Chen P, Chen G, Zhong S, Gong J, Zhong H, Ye T, Chen F, Wang J, Luo Z, Qi Z, Jia Y, Wang Y, Huang L. Inflammation is correlated with abnormal functional connectivity in unmedicated bipolar depression: an independent component analysis study of resting-state fMRI. Psychol Med 2021; 52:1-11. [PMID: 33602352 DOI: 10.1017/s003329172100009x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND Inflammation might play a role in bipolar disorder (BD), but it remains unclear the relationship between inflammation and brain structural and functional abnormalities in patients with BD. In this study, we focused on the alterations of functional connectivity (FC), peripheral pro-inflammatory cytokines and their correlations to investigate the role of inflammation in FC in BD depression. METHODS In this study, 42 unmedicated patients with BD II depression and 62 healthy controls (HCs) were enrolled. Resting-state-functional magnetic resonance imaging was performed in all participants and independent component analysis was used. Serum levels of Interleukin-6 (IL-6) and Interleukin-8 (IL-8) were measured in all participants. Correlation between FC values and IL-6 and IL-8 levels in BD was calculated. RESULTS Compared with the HCs, BD II patients showed decreased FC in the left orbitofrontal cortex (OFC) implicating the limbic network and the right precentral gyrus implicating the somatomotor network. BD II showed increased IL-6 (p = 0.039), IL-8 (p = 0.002) levels. Moreover, abnormal FC in the right precentral gyrus were inversely correlated with the IL-8 (r = -0.458, p = 0.004) levels in BD II. No significant correlation was found between FC in the left OFC and cytokines levels. CONCLUSIONS Our findings that serum IL-8 levels are associated with impaired FC in the right precentral gyrus in BD II patients suggest that inflammation might play a crucial role in brain functional abnormalities in BD.
Collapse
Affiliation(s)
- Guixian Tang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Pan Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou510630, China
| | - JiaYing Gong
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
- Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou510655, China
| | - Hui Zhong
- Biomedical Translational Research Institute, Jinan University, Guangzhou510630, China
| | - Tao Ye
- Clinical Laboratory Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
| | - Feng Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Jurong Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Zhenye Luo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou510630, China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou510630, China
| |
Collapse
|
13
|
Cromwell HC, Abe N, Barrett KC, Caldwell-Harris C, Gendolla GH, Koncz R, Sachdev PS. Mapping the interconnected neural systems underlying motivation and emotion: A key step toward understanding the human affectome. Neurosci Biobehav Rev 2020; 113:204-226. [DOI: 10.1016/j.neubiorev.2020.02.032] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Revised: 01/22/2020] [Accepted: 02/25/2020] [Indexed: 01/09/2023]
|
14
|
Han S, Cui Q, Wang X, Chen Y, Li D, Li L, Guo X, Fan YS, Guo J, Sheng W, Lu F, He Z, Chen H. The anhedonia is differently modulated by structural covariance network of NAc in bipolar disorder and major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry 2020; 99:109865. [PMID: 31962188 DOI: 10.1016/j.pnpbp.2020.109865] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 01/11/2020] [Accepted: 01/15/2020] [Indexed: 12/23/2022]
Abstract
During depressive episode, bipolar disorder (BD) patients share indistinguishable depression symptoms with major depressive disorder (MDD).However, whether neural correlates underlying the anhedonia, a core feature of depression, is different between BD and MDD remains unknown. To explore neural correlates underlying the anhedonia in BD and MDD, structural T1-weighted images from 36 depressed BD patients, 40 depressed MDD patients matched for depression severity and 34 health controls (HCs) were scanned. Considering the vital role of nucleus accumbens (NAc) in the anhedonia, we constructed the structural covariance network of NAc for each subject. Then, we explored altered structural covariance network of NAc and its interaction with the anhedonia severity in BD and MDD patients. As a result, BD and MDD patients shared decreased structural covariance of NAc connected to prefrontal gyrus, bilateral striatum extending to bilateral anterior insula. Apart from these regions, BD patients presented specifically increased structural covariance of NAc connected to left hippocampus extending to thalamus. The interaction between structural covariance network of NAc and the anhedonia severity in MDD was mainly associated anterior insula (AIC), amygdala, anterior cingulate cortex (ACC)and caudate while that in BD was mainly located in striatum and prefrontal cortex. Our results found that BD and MDD patients presented commonly and distinctly altered structural covariance network of NAc. What is more, the neural correlates underlying the anhedonia in BD and MDD might be different.
Collapse
Affiliation(s)
- Shaoqiang Han
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Qian Cui
- MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu 610054, PR China; School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, PR China.
| | - Xiao Wang
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Yuyan Chen
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Di Li
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Liang Li
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Xiaonan Guo
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Yun-Shuang Fan
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Jing Guo
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Wei Sheng
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Fengmei Lu
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Zongling He
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China.
| | - Huafu Chen
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China; MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu 610054, PR China.
| |
Collapse
|
15
|
Qiu S, Chen F, Chen G, Jia Y, Gong J, Luo X, Zhong S, Zhao L, Lai S, Qi Z, Huang L, Wang Y. Abnormal resting-state regional homogeneity in unmedicated bipolar II disorder. J Affect Disord 2019; 256:604-610. [PMID: 31299441 DOI: 10.1016/j.jad.2019.06.037] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 05/06/2019] [Accepted: 06/29/2019] [Indexed: 02/06/2023]
Abstract
BACKGROUND Previous studies demonstrated that patients with bipolar disorder (BD) exhibited abnormal neural activity in multiple brain regions. However, no study has been conducted to identify regional intrinsic neural activity changes in BD II. In the present study, we used the regional homogeneity (ReHo) approach to explore the regional abnormal neural activity in bipolar II disorder METHODS: One hundred unmedicated patients with BD II depression and 100 healthy controls (HC) underwent the resting-state functional magnetic resonance imaging. The ReHo values of each voxel was calculated in the whole brain. The two-sample t-test and threshold-free cluster enhancement (TFCE) correction were applied for the ReHo analysis. RESULTS Compared with the HC group, the BD II group showed significantly decreased ReHo in the left orbitofrontal cortex, and increased ReHo in the right precentral gyrus, right supplementary motor area and bilateral middle occipital gyrus (P < .05, TFCE corrected). LIMITATIONS This study lacks the evidence of brain structural changes, and used the cross-sectional design which did not explore local alterations of remitted and manic patients. CONCLUSION Our findings revealed abnormal local intrinsic neural activity during resting state which may contribute to the pathophysiology of bipolar II disorder. Particularly the disrupted balance between the prefrontal cortex and primary sensorimotor regions provides evidence for the unique pathological mechanism underlying BD.
Collapse
Affiliation(s)
- Shaojuan Qiu
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Feng Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Jiaying Gong
- Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, China
| | - Xiaomei Luo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Lianping Zhao
- Department of Radiology, Gansu Provincial Hospital, Gansu 730000, China
| | - Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
| |
Collapse
|
16
|
Mitelman SA. Transdiagnostic neuroimaging in psychiatry: A review. Psychiatry Res 2019; 277:23-38. [PMID: 30639090 DOI: 10.1016/j.psychres.2019.01.026] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Revised: 01/07/2019] [Accepted: 01/07/2019] [Indexed: 01/10/2023]
Abstract
Transdiagnostic approach has a long history in neuroimaging, predating its recent ascendance as a paradigm for new psychiatric nosology. Various psychiatric disorders have been compared for commonalities and differences in neuroanatomical features and activation patterns, with different aims and rationales. This review covers both structural and functional neuroimaging publications with direct comparison of different psychiatric disorders, including schizophrenia, bipolar disorder, major depressive disorder, autism spectrum disorder, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, conduct disorder, anorexia nervosa, and bulimia nervosa. Major findings are systematically presented along with specific rationales for each comparison.
Collapse
Affiliation(s)
- Serge A Mitelman
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA; Department of Psychiatry, Division of Child and Adolescent Psychiatry, Elmhurst Hospital Center, 79-01 Broadway, Elmhurst, NY 11373, USA.
| |
Collapse
|
17
|
Differentiating between bipolar and unipolar depression in functional and structural MRI studies. Prog Neuropsychopharmacol Biol Psychiatry 2019; 91:20-27. [PMID: 29601896 DOI: 10.1016/j.pnpbp.2018.03.022] [Citation(s) in RCA: 139] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 03/25/2018] [Accepted: 03/25/2018] [Indexed: 01/10/2023]
Abstract
Distinguishing depression in bipolar disorder (BD) from unipolar depression (UD) solely based on clinical clues is difficult, which has led to the exploration of promising neural markers in neuroimaging measures for discriminating between BD depression and UD. In this article, we review structural and functional magnetic resonance imaging (MRI) studies that directly compare UD and BD depression based on neuroimaging modalities including functional MRI studies on regional brain activation or functional connectivity, structural MRI on gray or white matter morphology, and pattern classification analyses using a machine learning approach. Numerous studies have reported distinct functional and structural alterations in emotion- or reward-processing neural circuits between BD depression and UD. Different activation patterns in neural networks including the amygdala, anterior cingulate cortex (ACC), prefrontal cortex (PFC), and striatum during emotion-, reward-, or cognition-related tasks have been reported between BD and UD. A stronger functional connectivity pattern in BD was pronounced in default mode and in frontoparietal networks and brain regions including the PFC, ACC, parietal and temporal regions, and thalamus compared to UD. Gray matter volume differences in the ACC, hippocampus, amygdala, and dorsolateral prefrontal cortex (DLPFC) have been reported between BD and UD, along with a thinner DLPFC in BD compared to UD. BD showed reduced integrity in the anterior part of the corpus callosum and posterior cingulum compared to UD. Several studies performed pattern classification analysis using structural and functional MRI data to distinguish between UD and BD depression using a supervised machine learning approach, which yielded a moderate level of accuracy in classification.
Collapse
|
18
|
Chakrabarty T, Yatham LN. Objective and biological markers in bipolar spectrum presentations. Expert Rev Neurother 2019; 19:195-209. [PMID: 30761925 DOI: 10.1080/14737175.2019.1580145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
INTRODUCTION Subthreshold presentations of bipolarity (BSPs) pose a diagnostic conundrum, in terms of whether they should be conceptualized and treated similarly as traditionally defined bipolar disorders (BD). While it has been argued that BSPs are on a pathophysiologic continuum with traditionally defined BDs, there has been limited examination of biological and objective markers in these presentations to validate this assertion. Areas covered: The authors review studies examining genetic, neurobiological, cognitive and peripheral markers in BSPs, encompassing clinical and non-clinical populations with subthreshold hypo/manic symptoms. Results are placed in the context of previously identified markers in traditionally defined BDs. Expert commentary: There have been few studies of objective and biological markers in subthreshold presentations of BD, and results are mixed. While abnormalities in brain structure/functioning, peripheral inflammatory, and cognitive markers have been reported, it is unclear whether these findings are specific to BD or indicative of broad affective pathology. However, some studies suggest that increased sensitivity to reward and positive stimuli are shared between subthreshold and traditionally defined BDs, and may represent a point of departure from unipolar major depression. Further examination of such markers may improve understanding of subthreshold bipolar presentations, and provide guidance in terms of therapeutic strategies.
Collapse
Affiliation(s)
- Trisha Chakrabarty
- a Department of Psychiatry , University of British Columbia , Vancouver , BC , Canada
| | - Lakshmi N Yatham
- a Department of Psychiatry , University of British Columbia , Vancouver , BC , Canada
| |
Collapse
|
19
|
Shi J, Geng J, Yan R, Liu X, Chen Y, Zhu R, Wang X, Shao J, Bi K, Xiao M, Yao Z, Lu Q. Differentiation of Transformed Bipolar Disorder From Unipolar Depression by Resting-State Functional Connectivity Within Reward Circuit. Front Psychol 2018; 9:2586. [PMID: 30622492 PMCID: PMC6308204 DOI: 10.3389/fpsyg.2018.02586] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Accepted: 12/03/2018] [Indexed: 01/23/2023] Open
Abstract
Previous studies have found that neural functional abnormalities detected by functional magnetic resonance imaging (fMRI) in brain regions implicated in reward processing during reward tasks show promise to distinguish bipolar from unipolar depression (UD), but little is known regarding resting-state functional connectivity (rsFC) within the reward circuit. In this study, we investigated neurobiomarkers for early recognition of bipolar disorder (BD) by retrospectively comparing rsFC within the reward circuit between UD and depressed BD. Sixty-six depressed patients were enrolled, none of whom had ever experienced any manic/hypomanic episodes before baseline. Simultaneously, 40 matched healthy controls (HC) were also recruited. Neuroimaging data of each participant were obtained from resting-state fMRI scans. Some patients began to manifest bipolar disorder (tBD) during the follow-up period. All patients were retrospectively divided into two groups (33 tBD and 33 UD) according to the presence or absence of mania/hypomania in the follow-up. rsFC between key regions of the reward circuit was calculated and compared among groups. Results showed decreased rsFC between the left ventral tegmental area (VTA) and left ventral striatum (VS) in the tBD group compared with the UD group, which showed good accuracy in predicting diagnosis (tBD vs. UD) according to receiver operating characteristic (ROC) analysis. No significant different rsFC was found within the reward circuit between any patient group and HC. Our preliminary findings indicated that bipolar disorder, in early depressive stages before onset of mania/hypomania attacks, already differs from UD in the reward circuit of VTA-VS functional synchronicity at the resting state.
Collapse
Affiliation(s)
- Jiabo Shi
- Department of Psychiatry, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Jiting Geng
- Department of Psychiatry, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Rui Yan
- Department of Psychiatry, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Xiaoxue Liu
- Department of Psychiatry, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Yu Chen
- Department of Psychiatry, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Rongxin Zhu
- Department of Psychiatry, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Xinyi Wang
- School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, China
- Key Laboratory of Child Development and Learning Science, Southeast University, Nanjing, China
| | - Junneng Shao
- School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, China
- Key Laboratory of Child Development and Learning Science, Southeast University, Nanjing, China
| | - Kun Bi
- School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, China
- Key Laboratory of Child Development and Learning Science, Southeast University, Nanjing, China
| | - Ming Xiao
- Nanjing Medical University, Nanjing, China
| | - Zhijian Yao
- Department of Psychiatry, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Qing Lu
- School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, China
- Key Laboratory of Child Development and Learning Science, Southeast University, Nanjing, China
| |
Collapse
|
20
|
Chatterjee SS, Pal A, Mallik N, Ghosal M, Saha G. Dissociative Experience in Unipolar and Bipolar Depression: Exploring the Great Divide. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE : THE OFFICIAL SCIENTIFIC JOURNAL OF THE KOREAN COLLEGE OF NEUROPSYCHOPHARMACOLOGY 2018; 16:262-266. [PMID: 30121975 PMCID: PMC6124866 DOI: 10.9758/cpn.2018.16.3.262] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Revised: 03/28/2018] [Accepted: 03/29/2018] [Indexed: 12/20/2022]
Abstract
Objective Unipolar and bipolar depression (UD and BD) differ strikingly in respect to neurobiology, course and management, but their apparent clinical similarity often leads to misdiagnosis resulting in chronicity of course and treatment failure. In this study we have tried to assess whether UD and BD can be differentiated on the basis of their dissociative symptoms. Methods Thrty-six UD patients and 35 BD patients in active episodes, without any psychiatric comorbidity were selected from outpatient department and compared for depressive and dissociative symptoms using Hamilton Depression Rating Scale and Dissociative Experience Scale-II (DES-II). Results We found that thought the two groups didn’t differ in terms of the socio-demographic or clinical variables, BD group had significantly higher dissociative experience (U=343, p=0.001) than UD and the difference remained significant even after adjusting for the confounding factors. Conclusion Our study shows that dissociative symptoms are significantly more prevalent in the depressive episodes of bipolar affective disorder as compared to the UD and can be an important tool in differentiating between the two disorders with very similar clinical profile. The difference can be measured using a simple self-report questionnaire like DES-II.
Collapse
Affiliation(s)
| | - Arghya Pal
- Department of Psychiatry, Calcutta Medical College and Hospital, Kolkata, India
| | - Nitu Mallik
- Department of Psychiatry, Calcutta Medical College and Hospital, Kolkata, India
| | - Malay Ghosal
- Department of Psychiatry, Calcutta Medical College and Hospital, Kolkata, India
| | | |
Collapse
|
21
|
Lutz P, Courtet P, Calati R. The opioid system and the social brain: implications for depression and suicide. J Neurosci Res 2018; 98:588-600. [DOI: 10.1002/jnr.24269] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Revised: 05/25/2018] [Accepted: 05/29/2018] [Indexed: 12/11/2022]
Affiliation(s)
- Pierre‐Eric Lutz
- Centre National de la Recherche Scientifique, Université de Strasbourg, Institut des Neurosciences Cellulaires et Intégratives, 67000Strasbourg France
- Fédération de Médecine Translationnelle de Strasbourg (FMTS)Strasbourg France
- Twitter: @PE_Lutz
| | - Philippe Courtet
- INSERM, University of Montpellier, Neuropsychiatry, Epidemiological and Clinical ResearchMontpellier France
- Department of Emergency Psychiatry and Post‐Acute CareLapeyronie Hospital, CHU MontpellierMontpellier France
- FondaMental FoundationCréteil France
| | - Raffaella Calati
- INSERM, University of Montpellier, Neuropsychiatry, Epidemiological and Clinical ResearchMontpellier France
- Department of Emergency Psychiatry and Post‐Acute CareLapeyronie Hospital, CHU MontpellierMontpellier France
- FondaMental FoundationCréteil France
| |
Collapse
|