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Dureux A, Zanini A, Jafari A, Everling S. Ultra-high Field fMRI Reveals Effect of Ketamine on Vocal Processing in Common Marmosets. J Neurosci 2025; 45:e0651242025. [PMID: 39984201 PMCID: PMC11984087 DOI: 10.1523/jneurosci.0651-24.2025] [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: 03/25/2024] [Revised: 01/31/2025] [Accepted: 02/15/2025] [Indexed: 02/23/2025] Open
Abstract
Auditory deficits are a well-known symptom in neuropsychiatric disorders such as schizophrenia. The noncompetitive N-methyl-d-aspartate receptor antagonist ketamine has been used to model sensory and cognitive deficits in nonhuman primates, but its whole-brain effects remain largely unknown. Here we employed ultra-high field functional magnetic resonance imaging at 9.4 T in awake male and female marmoset monkeys (Callithrix jacchus) to compare brain activations to conspecific vocalizations, scrambled vocalizations, and nonvocal sounds following the administration of a subanesthetic dose of ketamine. Our findings reveal a broad suppression of activations across auditory regions following ketamine compared with saline. Additionally, we observed differential effects depending on the type of sound, with notable changes in the mediodorsal thalamus and anterior cingulate cortex, particularly during the processing of vocalizations. These findings suggest a potential overlap between the effects of ketamine and neural disruptions observed in schizophrenia, particularly affecting vocalization processing.
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Affiliation(s)
- Audrey Dureux
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Ontario N6A 5K8, Canada,
| | - Alessandro Zanini
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Ontario N6A 5K8, Canada
| | - Azadeh Jafari
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Ontario N6A 5K8, Canada
| | - Stefan Everling
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Ontario N6A 5K8, Canada
- Department of Physiology and Pharmacology, University of Western Ontario, London, Ontario N6A 5K8, Canada
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2
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Huang B, Pu C, Guo X, Chan RCK, Huang J, Yu X. Hypo- and hyper-activation in frontotemporal lobe during humor processing in patients with first episode schizophrenia. Asian J Psychiatr 2024; 92:103892. [PMID: 38160523 DOI: 10.1016/j.ajp.2023.103892] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 12/18/2023] [Accepted: 12/20/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Patients with schizophrenia present difficulties in humor recognition and appreciation, but the neural mechanism of these deficits remains unclear. This study aimed to elucidate neural substrates underlying humor processing in patients with first episode schizophrenia (FES). METHODS This study recruited 40 patients with FES (illness duration ≤ 4 years) and 31 healthy controls matching for age, gender and education level. Participants completed a fMRI verbal humor processing paradigm comprising 96 stories, half for funny punch-line condition and the other half for unfunny condition. Participants were required to judge whether the story was funny or not. Signal detection theory (SDT) analysis was used to calculate d' and β values which represented sensitivity and inner criteria for humor signals respectively. The funny-unfunny contrast was analyzed to identify the brain regions related with humor processing. d' and β values were put into the imaging regression analysis. RESULTS Patients with FES showed significantly lower hit rate and sensitivity of humor signals (d'). At the neural level, patients with FES hypo-activated in ventral medial prefrontal cortex (vmPFC) and anterior cingulate cortex (ACC) while hyper-activated in middle temporal gyrus (MTG) and superior temporal gyrus (STG) compared to controls. In addition, activity in vmPFC and ACC was positively associated with d' and β values, while activity in STG was positively associated with β values in the clinical group. CONCLUSIONS Patients with FES exhibited decreased sensitivity to humor signals. Hypo-activation in frontal regions and hyper-activation in temporal regions were associated with the humor processing deficits.
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Affiliation(s)
- Bingjie Huang
- Peking University Sixth Hospital, Beijing, China; Peking University Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), Beijing, China; National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Chengcheng Pu
- Peking University Sixth Hospital, Beijing, China; Peking University Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), Beijing, China; National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Xiaodong Guo
- Peking University Sixth Hospital, Beijing, China; Peking University Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), Beijing, China; National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Jia Huang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
| | - Xin Yu
- Peking University Sixth Hospital, Beijing, China; Peking University Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), Beijing, China; National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
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3
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Luo L, Liao Y, Jia F, Ning G, Liu J, Li X, Chen X, Ma X, He X, Fu C, Cai X, Qu H. Altered dynamic functional and effective connectivity in drug-naive children with Tourette syndrome. Transl Psychiatry 2024; 14:48. [PMID: 38253543 PMCID: PMC10803732 DOI: 10.1038/s41398-024-02779-1] [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: 03/18/2023] [Revised: 01/08/2024] [Accepted: 01/12/2024] [Indexed: 01/24/2024] Open
Abstract
Tourette syndrome (TS) is a developmental neuropsychiatric disorder characterized by repetitive, stereotyped, involuntary tics, the neurological basis of which remains unclear. Although traditional resting-state MRI (rfMRI) studies have identified abnormal static functional connectivity (FC) in patients with TS, dynamic FC (dFC) remains relatively unexplored. The rfMRI data of 54 children with TS and 46 typically developing children (TDC) were analyzed using group independent component analysis to obtain independent components (ICs), and a sliding-window approach to generate dFC matrices. All dFC matrices were clustered into two reoccurring states, the state transition metrics were obtained. We conducted Granger causality and nodal topological analyses to further investigate the brain regions that may play the most important roles in driving whole-brain switching between different states. We found that children with TS spent more time in state 2 (PFDR < 0.001), a state characterized by strong connectivity between ICs, and switched more quickly between states (PFDR = 0.025) than TDC. The default mode network (DMN) may play an important role in abnormal state transitions because the FC that changed the most between the two states was between the DMN and other networks. Additionally, the DMN had increased degree centrality, efficiency and altered causal influence on other networks. Certain alterations related to executive function (r = -0.309, P < 0.05) and tic symptom ratings (r = 0.282; 0.413, P < 0.05) may represent important aspects of the pathophysiology of TS. These findings facilitate our understanding of the neural basis for the clinical presentation of TS.
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Affiliation(s)
- Lekai Luo
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, 610021, Sichuan, PR China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610021, Sichuan, PR China
| | - Yi Liao
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, 610021, Sichuan, PR China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610021, Sichuan, PR China
| | - Fenglin Jia
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, 610021, Sichuan, PR China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610021, Sichuan, PR China
| | - Gang Ning
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, 610021, Sichuan, PR China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610021, Sichuan, PR China
| | - Jing Liu
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, 610021, Sichuan, PR China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610021, Sichuan, PR China
| | - Xuesheng Li
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, 610021, Sichuan, PR China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610021, Sichuan, PR China
| | - Xijian Chen
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, 610021, Sichuan, PR China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610021, Sichuan, PR China
| | - Xinmao Ma
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, 610021, Sichuan, PR China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610021, Sichuan, PR China
| | - Xuejia He
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, 610021, Sichuan, PR China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610021, Sichuan, PR China
| | - Chuan Fu
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, 610021, Sichuan, PR China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610021, Sichuan, PR China
| | - Xiaotang Cai
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610021, Sichuan, PR China.
- Department of Rehabilitation, West China Second University Hospital, Chengdu, 610021, Sichuan, PR China.
| | - Haibo Qu
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, 610021, Sichuan, PR China.
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, 610021, Sichuan, PR China.
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4
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Huang H, Rong B, Chen C, Wan Q, Liu Z, Zhou Y, Wang G, Wang H. Common and Distinct Functional Connectivity of the Orbitofrontal Cortex in Depression and Schizophrenia. Brain Sci 2023; 13:997. [PMID: 37508929 PMCID: PMC10377532 DOI: 10.3390/brainsci13070997] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 06/12/2023] [Accepted: 06/22/2023] [Indexed: 07/30/2023] Open
Abstract
Schizophrenia and depression are psychiatric disorders with overlapping clinical and biological features. This study aimed to identify common and distinct neuropathological mechanisms in schizophrenia and depression patients using resting-state functional magnetic resonance imaging (fMRI). The study included 28 patients with depression (DEP), 29 patients with schizophrenia (SCH), and 30 healthy control subjects (HC). Intrinsic connectivity contrast (ICC) was used to identify functional connectivity (FC) changes at the whole-brain level, and significant ICC differences were found in the bilateral orbitofrontal cortex (OFC) across all three groups. Further seed-based FC analysis indicated that compared to the DEP and HC groups, the FC between bilateral OFC and medial prefrontal cortex (MPFC), right anterior insula, and right middle frontal gyrus were significantly lower in the SCH group. Additionally, the FC between right OFC and left thalamus was decreased in both patient groups compared to the HC group. Correlation analysis showed that the FC between OFC and MPFC was positively correlated with cognitive function in the SCH group. These findings suggest that OFC connectivity plays a critical role in the pathophysiology of schizophrenia and depression and may provide new insights into the potential neural mechanisms underlying these two disorders.
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Affiliation(s)
- Huan Huang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Bei Rong
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Cheng Chen
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Qirong Wan
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Zhongchun Liu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Yuan Zhou
- Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
| | - Gaohua Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
- Hubei Institute of Neurology and Psychiatry Research, Wuhan 430060, China
| | - Huiling Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
- Department of Psychiatry, Zhongxiang Hospital of Renmin Hospital of Wuhan University, Zhongxiang 431900, China
- Hubei Provincial Key Laboratory of Developmentally Originated Disease, Wuhan 430071, China
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5
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Brandt L, Liu S, Heim C, Heinz A. The effects of social isolation stress and discrimination on mental health. Transl Psychiatry 2022; 12:398. [PMID: 36130935 PMCID: PMC9490697 DOI: 10.1038/s41398-022-02178-4] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 09/06/2022] [Accepted: 09/12/2022] [Indexed: 11/17/2022] Open
Abstract
Social isolation and discrimination are growing public health concerns associated with poor physical and mental health. They are risk factors for increased morbidity and mortality and reduced quality of life. Despite their detrimental effects on health, there is a lack of knowledge regarding translation across the domains of experimental research, clinical studies, and real-life applications. Here, we review and synthesize evidence from basic research in animals and humans to clinical translation and interventions. Animal models indicate that social separation stress, particularly in early life, activates the hypothalamic-pituitary-adrenal axis and interacts with monoaminergic, glutamatergic, and GABAergic neurotransmitter systems, inducing long-lasting reductions in serotonin turnover and alterations in dopamine receptor sensitivity. These findings are of particular importance for human social isolation stress, as effects of social isolation stress on the same neurotransmitter systems have been implicated in addictive, psychotic, and affective disorders. Children may be particularly vulnerable due to lasting effects of social isolation and discrimination stress on the developing brain. The effects of social isolation and loneliness are pronounced in the context of social exclusion due to discrimination and racism, during widespread infectious disease related containment strategies such as quarantine, and in older persons due to sociodemographic changes. This highlights the importance of new strategies for social inclusion and outreach, including gender, culture, and socially sensitive telemedicine and digital interventions for mental health care.
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Affiliation(s)
- Lasse Brandt
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin (Campus Charité Mitte), Berlin, Germany
| | - Shuyan Liu
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin (Campus Charité Mitte), Berlin, Germany
| | - Christine Heim
- Department of Medical Psychology, Charité - Universitätsmedizin Berlin (Campus Charité Mitte), Berlin, Germany
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin (Campus Charité Mitte), Berlin, Germany.
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6
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Tang E, Zhang M, Chen Y, Lin Y, Ding H. Recognition of affective prosody in bipolar and depressive conditions: A systematic review and meta-analysis. J Affect Disord 2022; 313:126-136. [PMID: 35780961 DOI: 10.1016/j.jad.2022.06.065] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 05/16/2022] [Accepted: 06/23/2022] [Indexed: 11/20/2022]
Abstract
BACKGROUND Inconsistent results have been reported about the affective prosody recognition (APR) ability in patients with bipolar (BD) and depressive (DD) disorders. We aimed to (i) evaluate the magnitude of APR dysfunction in BD and DD patients, (ii) identify moderators for heterogeneous results, and (iii) highlight research trends in this field. METHODS A computerized literature search was conducted in five electronic databases from the inception to May 9th, 2022 to identify behavioural experiments that studied APR in BD or DD patients. Effect sizes were calculated using a random-effect model and recalculated after removing outliers and adjusting publication bias. RESULTS Twelve eligible articles totalling 16 studies were included in the meta-analysis, aggregating 612 patients and 809 healthy controls. Individual r2 ranged from 0.008 to 0.355, six of which reached a medium-to-large association strength. A medium-to-large pooled effect size (Hedges g = -0.58, 95 % CI -0.75 to -0.40, p < 0.001) for overall APR impairment in BD and DD patients was obtained. The Beck Depression Inventory score and answer option number were significant moderators. Neuropsychological mechanisms, multi-modal interaction and comorbidity effects have become primary research concerns. LIMITATIONS Extant statistics were insufficient for disorder-specific analysis. CONCLUSIONS Current findings demonstrate deficits of overall APR in BD and DD patients at a medium-to-large magnitude. APR can clinically serve for early screening and prognosis, but the depression severity, task complexity and confounding variables influence patients' APR performance. Future studies should incorporate neuroimaging approaches and investigate the effects of tonal language stimuli and clinical interventions.
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Affiliation(s)
- Enze Tang
- Speech-Language-Hearing Center, School of Foreign Languages, Shanghai Jiao Tong University, China
| | - Minyue Zhang
- Speech-Language-Hearing Center, School of Foreign Languages, Shanghai Jiao Tong University, China
| | - Yu Chen
- Speech-Language-Hearing Center, School of Foreign Languages, Shanghai Jiao Tong University, China
| | - Yi Lin
- Speech-Language-Hearing Center, School of Foreign Languages, Shanghai Jiao Tong University, China
| | - Hongwei Ding
- Speech-Language-Hearing Center, School of Foreign Languages, Shanghai Jiao Tong University, China.
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7
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Static and temporal dynamic changes of intrinsic brain activity in pediatric and adults OCD. J Affect Disord 2022; 311:416-424. [PMID: 35618169 DOI: 10.1016/j.jad.2022.05.101] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 04/29/2022] [Accepted: 05/16/2022] [Indexed: 11/24/2022]
Abstract
Epidemiological and clinical age differences in obsessive-compulsive disorder (OCD) have been reported in clinical symptoms and morphometry changes; however, age differences in amplitude of low-frequency fluctuation and the relationship between ALFF imaging and clinical symptoms has not been thoroughly studied in OCD. Age may be an important feature associated with distinct subtypes of OCD. To examine the effect of age on OCD, the current study enrolled 92 OCD patients (32 pediatrics and 60 adults) and matched HCs (33 pediatrics and 84 adults), undergoing resting-state functional magnetic resonance imaging. The spontaneous brain activity was measured by static and dynamic amplitude of low-frequency fluctuation (ALFF) followed by two-way ANOVA. In pediatric OCD patients versus adult patients, we observed a significantly higher ALFF in the default mode network (DMN), including posterior cingulate, precuneus and superior frontal gyrus, and extending to cuneus, lingual gyrus. Additionally, the increased ALFF and dynamic ALFF in the precentral gyrus were found in pediatric patients. In OCD patients compared with controls, we found a significantly increased ALFF in hippocampal gyrus, cerebellum network (CN), and the dALFF in middle and inferior occipital gyrus, bilateral paracentral lobule and sensorimotor network. The findings emphasized the different patterns of static and dynamic intrinsic brain activity alterations associated with pediatric and adult OCD patients. These results provide unique insights into constructing evidenced-based distinct OCD subtypes based on brain activity and point the need of specified management for pediatric and adult OCD patients in clinical setting.
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8
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Cho YT, Moujaes F, Schleifer CH, Starc M, Ji JL, Santamauro N, Adkinson B, Kolobaric A, Flynn M, Krystal JH, Murray JD, Repovs G, Anticevic A. Reward and loss incentives improve spatial working memory by shaping trial-by-trial posterior frontoparietal signals. Neuroimage 2022; 254:119139. [PMID: 35346841 PMCID: PMC9264479 DOI: 10.1016/j.neuroimage.2022.119139] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 03/15/2022] [Accepted: 03/22/2022] [Indexed: 10/29/2022] Open
Abstract
Integrating motivational signals with cognition is critical for goal-directed activities. The mechanisms that link neural changes with motivated working memory continue to be understood. Here, we tested how externally cued and non-cued (internally represented) reward and loss impact spatial working memory precision and neural circuits in human subjects using fMRI. We translated the classic delayed-response spatial working memory paradigm from non-human primate studies to take advantage of a continuous numeric measure of working memory precision, and the wealth of translational neuroscience yielded by these studies. Our results demonstrated that both cued and non-cued reward and loss improved spatial working memory precision. Visual association regions of the posterior prefrontal and parietal cortices, specifically the precentral sulcus (PCS) and intraparietal sulcus (IPS), had increased BOLD signal during incentivized spatial working memory. A subset of these regions had trial-by-trial increases in BOLD signal that were associated with better working memory precision, suggesting that these regions may be critical for linking neural signals with motivated working memory. In contrast, regions straddling executive networks, including areas in the dorsolateral prefrontal cortex, anterior parietal cortex and cerebellum displayed decreased BOLD signal during incentivized working memory. While reward and loss similarly impacted working memory processes, they dissociated during feedback when money won or avoided in loss was given based on working memory performance. During feedback, the trial-by-trial amount and valence of reward/loss received was dissociated amongst regions such as the ventral striatum, habenula and periaqueductal gray. Overall, this work suggests motivated spatial working memory is supported by complex sensory processes, and that the IPS and PCS in the posterior frontoparietal cortices may be key regions for integrating motivational signals with spatial working memory precision.
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Affiliation(s)
- Youngsun T Cho
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA; Yale University, Child Study Center, 230 South Frontage Road, New Haven, CT, 06519, USA; Connecticut Mental Health Center, Clinical Neuroscience Research Unit, 34 Park Street, 3rd floor, New Haven, CT, 06519, USA; Yale University, Interdepartmental Neuroscience Program, Yale University Neuroscience Program, P.O. Box 208074, New Haven, CT, 06520, USA.
| | - Flora Moujaes
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | - Charles H Schleifer
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | | | - Jie Lisa Ji
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | - Nicole Santamauro
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | - Brendan Adkinson
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | - Antonija Kolobaric
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | - Morgan Flynn
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA
| | - John H Krystal
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA; Yale University, NIAAA Center for Translational Neuroscience of Alcoholism, 34 Park Street, 3rd floor, New Haven, CT 06519 USA
| | - John D Murray
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA; Yale University, Interdepartmental Neuroscience Program, Yale University Neuroscience Program, P.O. Box 208074, New Haven, CT, 06520, USA; Yale University, Department of Physics, 217 Prospect Street, New Haven, CT, 06511, USA
| | - Grega Repovs
- University of Ljubljana, Department of Psychology
| | - Alan Anticevic
- Yale University, Department of Psychiatry, 300 George Street, Suite 901, New Haven, CT, 06511, USA; Connecticut Mental Health Center, Clinical Neuroscience Research Unit, 34 Park Street, 3rd floor, New Haven, CT, 06519, USA; Yale University, Interdepartmental Neuroscience Program, Yale University Neuroscience Program, P.O. Box 208074, New Haven, CT, 06520, USA; University of Zagreb, University Psychiatric Hospital Vrapce; Yale University, Department of Psychology, Box 208205, New Haven, CT, 06520-8205, USA; Yale University, NIAAA Center for Translational Neuroscience of Alcoholism, 34 Park Street, 3rd floor, New Haven, CT 06519 USA.
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9
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Resting-state functional connectivity of salience network in schizophrenia and depression. Sci Rep 2022; 12:11204. [PMID: 35778603 PMCID: PMC9249853 DOI: 10.1038/s41598-022-15489-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 06/24/2022] [Indexed: 11/08/2022] Open
Abstract
To explore the salience network (SN) functional alterations in schizophrenia and depression, resting-state functional magnetic resonance imaging (rs-fMRI) data from 29 patients with schizophrenia (SCH), 28 patients with depression (DEP) and 30 healthy controls (HC) were obtained. The SN was derived from data-driven group independent component analysis (gICA). ANCOVA and post hoc tests were performed to discover the FC differences of SN between groups. The ANCOVA demonstrated a significant group effect in FC with right inferior and middle temporal gyrus (ITG and MTG), left caudate, and right precentral gyrus. Post-hoc analyses revealed an opposite altered FC pattern between SN and right ITG and MTG for both patient groups. The DEP group showed a reduced FC between SN and right ITG and MTG compared with HC whereas the SCH group showed an increased FC. In addition, the SCH group showed decreased FC between SN and left caudate, and enhanced FC between SN and right precentral gyrus compared to the other two groups. Our findings suggest distinct FC of SN in schizophrenia and depression, supporting that the resting-state FC pattern of SN may be a transdiagnostic difference between depression and schizophrenia and may play a critical role in the pathogenesis of these two disorders.
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10
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Wolf DH, Zheng D, Kohler C, Turetsky BI, Ruparel K, Satterthwaite TD, Elliott MA, March ME, Cross AJ, Smith MA, Zukin SR, Gur RC, Gur RE. Effect of mGluR2 positive allosteric modulation on frontostriatal working memory activation in schizophrenia. Mol Psychiatry 2022; 27:1226-1232. [PMID: 34667261 PMCID: PMC9018886 DOI: 10.1038/s41380-021-01320-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 09/09/2021] [Accepted: 09/24/2021] [Indexed: 02/07/2023]
Abstract
Negative symptoms and cognitive deficits contribute strongly to disability in schizophrenia, and are resistant to existing medications. Recent drug development has targeted enhanced NMDA function by increasing mGluR2/3 signaling. However, the clinical utility of such agents remains uncertain, and markers of brain circuit function are critical for clarifying mechanisms and understanding individual differences in efficacy. We conducted a double-blind, placebo-controlled, randomized cross-over (14 day washout) pilot study evaluating adjunctive use of the mGluR2 positive allosteric modulator AZD8529 (80 mg daily for 3 days), in chronic stable patients with schizophrenia (n = 26 analyzed). We focused on 3 T fMRI response in frontostriatal regions during an n-back working memory task, testing the hypothesis that AZD8529 produces fMRI changes that correlate with improvement in negative symptoms and cognition. We found that AZD8529 did not produce significant group-average effects on symptoms or cognitive accuracy. However, AZD8529 did increase n-back fMRI activation in striatum (p < 0.0001) and anterior cingulate/paracingulate (p = 0.002). Greater drug-versus-placebo effects on caudate activation significantly correlated with greater reductions in PANSS negative symptom scores (r = -0.42, p = 0.031), and exploratory correlations suggested broader effects across multiple symptom domains and regions of interest. These findings demonstrate that fMRI responses to mGluR2 positive modulation relate to individual differences in symptom reduction, and could be pursued for future biomarker development. Negative clinical results at the group level should not lead to premature termination of investigation of this mechanism, which may benefit an important subset of individuals with schizophrenia. Imaging biomarkers may reveal therapeutic mechanisms, and help guide treatment toward specific populations.
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Affiliation(s)
- Daniel H. Wolf
- Department of Psychiatry, University of Pennsylvania, Philadelphia PA 19104
| | - David Zheng
- Department of Psychiatry, University of Pennsylvania, Philadelphia PA 19104
| | - Christian Kohler
- Department of Psychiatry, University of Pennsylvania, Philadelphia PA 19104
| | - Bruce I. Turetsky
- Department of Psychiatry, University of Pennsylvania, Philadelphia PA 19104
| | - Kosha Ruparel
- Department of Psychiatry, University of Pennsylvania, Philadelphia PA 19104
| | | | - Mark A. Elliott
- Department of Radiology, University of Pennsylvania, Philadelphia PA 19104
| | - Mary E. March
- Department of Psychiatry, University of Pennsylvania, Philadelphia PA 19104
| | - Alan J. Cross
- AstraZeneca Pharmaceuticals LP, Wilmington DE, 19850.,Present affiliations: Psy Therapeutics, Thornton PA 19373
| | - Mark A. Smith
- AstraZeneca Pharmaceuticals LP, Wilmington DE, 19850.,Vistagen Therapeutics, South San Francisco CA 94080;,Medical College of Georgia, Augusta, GA 30912
| | - Stephen R. Zukin
- AstraZeneca Pharmaceuticals LP, Wilmington DE, 19850.,PRA Health Sciences, Blue Bell PA 19422
| | - Ruben C. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia PA 19104.,Department of Radiology, University of Pennsylvania, Philadelphia PA 19104
| | - Raquel E. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia PA 19104.,Department of Radiology, University of Pennsylvania, Philadelphia PA 19104
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11
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Luo L, Li Q, You W, Wang Y, Tang W, Li B, Yang Y, Sweeney JA, Li F, Gong Q. Altered brain functional network dynamics in obsessive-compulsive disorder. Hum Brain Mapp 2021; 42:2061-2076. [PMID: 33522660 PMCID: PMC8046074 DOI: 10.1002/hbm.25345] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 12/20/2020] [Accepted: 01/07/2021] [Indexed: 02/05/2023] Open
Abstract
Obsessive-compulsive disorder (OCD) is a debilitating and disabling neuropsychiatric disorder, whose neurobiological basis remains unclear. Although traditional static resting-state magnetic resonance imaging (rfMRI) studies have found aberrant functional connectivity (FC) in OCD, alterations in whole-brain FC and topological properties in the context of brain dynamics remain relatively unexplored. The rfMRI data of 29 patients with OCD and 40 healthy controls were analyzed using group independent component analysis to obtain independent components (ICs) and a sliding-window approach to generate dynamic functional connectivity (dFC) matrices. dFC patterns were clustered into three reoccurring states, and state transition metrics were obtained. Then, graph-theory methods were applied to dFC matrices to calculate the variability of network topological organization. The occurrence of a state (State 1) with the highest modularity index and lowest mean FC between networks was increased significantly in OCD, and the fractional time in brain State 1 was positively correlated with anxiety level in patients. State 1 was characterized by having positive connections within default mode (DMN) and salience networks (SAN), and negative coupling between the two networks. Additionally, ICs belonging to DMN and SAN showed lower temporal variability of nodal degree centrality and efficiency in patients, which was related to longer illness duration and higher current obsession ratings. Our results provide evidence of clinically relevant aberrant dynamic brain activity in OCD. Increased functional segregation among networks and impaired functional flexibility in connections among brain regions in DMN and SAN may play important roles in the neuropathology of OCD.
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Affiliation(s)
- Lekai Luo
- Huaxi MR Research Center (HMRRC), Department of RadiologyWest China Hospital of Sichuan UniversityChengduSichuanP.R. China
- Research Unit of PsychoradiologyChinese Academy of Medical SciencesChengduSichuanP.R. China
- Functional and Molecular Imaging Key Laboratory of Sichuan ProvinceWest China Hospital of Sichuan UniversityChengduSichuanP.R. China
| | - Qian Li
- Huaxi MR Research Center (HMRRC), Department of RadiologyWest China Hospital of Sichuan UniversityChengduSichuanP.R. China
- Research Unit of PsychoradiologyChinese Academy of Medical SciencesChengduSichuanP.R. China
- Functional and Molecular Imaging Key Laboratory of Sichuan ProvinceWest China Hospital of Sichuan UniversityChengduSichuanP.R. China
| | - Wanfang You
- Huaxi MR Research Center (HMRRC), Department of RadiologyWest China Hospital of Sichuan UniversityChengduSichuanP.R. China
- Research Unit of PsychoradiologyChinese Academy of Medical SciencesChengduSichuanP.R. China
- Functional and Molecular Imaging Key Laboratory of Sichuan ProvinceWest China Hospital of Sichuan UniversityChengduSichuanP.R. China
| | - Yuxia Wang
- Huaxi MR Research Center (HMRRC), Department of RadiologyWest China Hospital of Sichuan UniversityChengduSichuanP.R. China
- Research Unit of PsychoradiologyChinese Academy of Medical SciencesChengduSichuanP.R. China
- Functional and Molecular Imaging Key Laboratory of Sichuan ProvinceWest China Hospital of Sichuan UniversityChengduSichuanP.R. China
| | - Wanjie Tang
- Department of PsychiatryWest China Hospital of Sichuan UniversityChengduSichuanP.R. China
| | - Bin Li
- Department of PsychiatryWest China Hospital of Sichuan UniversityChengduSichuanP.R. China
| | - Yanchun Yang
- Department of PsychiatryWest China Hospital of Sichuan UniversityChengduSichuanP.R. China
| | - John A. Sweeney
- Huaxi MR Research Center (HMRRC), Department of RadiologyWest China Hospital of Sichuan UniversityChengduSichuanP.R. China
- Department of PsychiatryUniversity of CincinnatiCincinnatiOhioUSA
| | - Fei Li
- Huaxi MR Research Center (HMRRC), Department of RadiologyWest China Hospital of Sichuan UniversityChengduSichuanP.R. China
- Research Unit of PsychoradiologyChinese Academy of Medical SciencesChengduSichuanP.R. China
- Functional and Molecular Imaging Key Laboratory of Sichuan ProvinceWest China Hospital of Sichuan UniversityChengduSichuanP.R. China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of RadiologyWest China Hospital of Sichuan UniversityChengduSichuanP.R. China
- Research Unit of PsychoradiologyChinese Academy of Medical SciencesChengduSichuanP.R. China
- Functional and Molecular Imaging Key Laboratory of Sichuan ProvinceWest China Hospital of Sichuan UniversityChengduSichuanP.R. China
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12
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Genome-wide association study of antipsychotic-induced sinus bradycardia in Chinese schizophrenia patients. PLoS One 2021; 16:e0249997. [PMID: 33914752 PMCID: PMC8084176 DOI: 10.1371/journal.pone.0249997] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 03/29/2021] [Indexed: 01/10/2023] Open
Abstract
Second-generation antipsychotics (SGAs) play a critical role in current treatment of schizophrenia (SCZ). It has been observed that sinus bradycardia, rare but in certain situations life threatening adverse drug reaction, can be induced by SGAs across different schizophrenia populations. However, the roles of genetic factors in this phenomenon have not been studied yet. In the present study, a genome-wide association study of single nucleotide polymorphisms (SNPs) was performed on Chinese Han SCZ patients to identify susceptibility loci that were associated with sinus bradycardia induced by SGAs. This study applied microarray to obtain genotype profiles of 88 Han Chinese SCZ patients. Our results found that there were no SNPs had genome-wide significant association with sinus bradycardia induced by SGAs. The top GWAS hit located in gene KIAA0247, which mainly regulated by the tumor suppressor P53 and thus plays a role in carcinogenesis based on resent research and it should not be a susceptibility locus to sinus bradycardia induced by SGAs. Using gene-set functional analysis, we tested that if top 500 SNPs mapped genes were relevant to sinus bradycardia. The result of gene prioritization analysis showed CTNNA3 was strongly correlated with sinus bradycardia, hinting it was a susceptibility gene of this ADR. Our study provides a preliminary study of genetic variants associated with sinus bradycardia induced by SGAs in Han Chinese SCZ patients. The discovery of a possible susceptibility gene shed light on further study of this adverse drug reaction in Han Chinese SCZ patients.
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13
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Zhou C, Xue C, Chen J, Amdanee N, Tang X, Zhang H, Zhang F, Zhang X, Zhang C. Altered Functional Connectivity of the Nucleus Accumbens Network Between Deficit and Non-deficit Schizophrenia. Front Psychiatry 2021; 12:704631. [PMID: 34658949 PMCID: PMC8514672 DOI: 10.3389/fpsyt.2021.704631] [Citation(s) in RCA: 8] [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: 05/06/2021] [Accepted: 09/03/2021] [Indexed: 11/20/2022] Open
Abstract
Deficit schizophrenia (DS), which is marked by stable negative symptoms, is regarded as a homogeneous subgroup of schizophrenia. While DS patients have structurally altered nucleus accumbens (NAcc) compared to non-deficit schizophrenia (NDS) patients and healthy individuals, the investigation of NAcc functional connectivity (FC) with negative symptoms and neurocognition could provide insights into the pathophysiology of schizophrenia. 58 DS, 93 NDS, and 113 healthy controls (HCs) underwent resting-state functional magnetic resonance (rsfMRI). The right and left NAcc were respectively used as seed points to construct the functional NAcc network in whole-brain FC analysis. ANCOVA compared the differences in NAcc network FC and partial correlation analysis explored the relationships between altered FC of NAcc, negative symptoms and neurocognition. Compared to HCs, both DS and NDS patients showed decreased FC between the left NAcc (LNAcc) and bilateral middle cingulate gyrus, and between the right NAcc (RNAcc) and right middle frontal gyrus (RMFG), as well as increased FC between bilateral NAcc and bilateral lingual gyrus. Moreover, the FC between the LNAcc and bilateral calcarine gyrus (CAL) was lower in the DS group compared to NDS patients. Correlation analysis indicated that FC value of LNAcc-CAL was negatively correlated to negative symptoms. Furthermore, aberrant FC values within the NAcc network were correlated with severity of clinical symptoms and neurocognitive impairments in DS and NDS patients. This study demonstrated abnormal patterns of FC in the NAcc network between DS and NDS. The presence of altered LNAcc-CAL FC might be involved in the pathogenesis of negative symptoms in schizophrenia.
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Affiliation(s)
- Chao Zhou
- Department of Geriatric Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Chen Xue
- Department of Radiology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Jiu Chen
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.,Institute of Brain Functional Imaging, Nanjing Medical University, Nanjing, China
| | - Nousayhah Amdanee
- Department of Geriatric Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Xiaowei Tang
- Department of Psychiatry, Affiliated WuTaiShan Hospital of Medical College of Yangzhou University, Yangzhou, China
| | - Hongying Zhang
- Department of Radiology, Subei People's Hospital of Jiangsu Province, Yangzhou University, Yangzhou, China
| | - Fuquan Zhang
- Department of Geriatric Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Xiangrong Zhang
- Department of Geriatric Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Caiyi Zhang
- Department of Psychiatry, Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, China
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14
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Zhou C, Kong D, Zhu X, Wu W, Xue R, Li G, Xu Y, Liu S, Tian H, Zhuo C. Rethinking Schizophrenia and Depression Comorbidity as One Psychiatric Disorder Entity: Evidence From Mouse Model. Front Neurosci 2020; 14:115. [PMID: 32218718 PMCID: PMC7078335 DOI: 10.3389/fnins.2020.00115] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2019] [Accepted: 01/29/2020] [Indexed: 01/27/2023] Open
Abstract
Schizophrenia is frequently accompanied by depressive symptoms, but the pathological mechanisms remain to be elucidated. In this study, we used chronic unpredicted mild stress plus MK801 injection to generate a mouse model of schizophrenia with depression, in which in vivo 2-photon calcium imaging and electrophysiological recordings were performed in conjunction with behavioral phenotyping. Compared to mice models with classical depression or to schizophrenia models, the animal models with schizophrenia and depression comorbidity presented worse psychotic and depressive symptoms. These behavioral deficits are associated with impaired neuronal calcium activities in the frontal cortex and thalamic nuclei. Moreover, in sharp contrast to classical models that have a satisfactory response to antipsychotic or antidepressant drugs, this novel schizophrenia with depression model is resilient to combined drug treatment in terms of behavioral and functional recovery. Taken together, these data indicate that schizophrenia with depression likely involves a unique pathophysiology that is different from schizophrenia or depression alone.
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Affiliation(s)
- Chunhua Zhou
- Department of Pharmacology, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Dezhi Kong
- Two-Photon In Vivo Imaging Centre, Institute of Chinese Integrative Medicine, Hebei Medical University, Shijiazhuang, China
| | - Xiaodong Zhu
- Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Wei Wu
- Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Rong Xue
- Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Gongying Li
- Institute of Brain Micro Scale Imaging Centre, School of Mental Health, Jining Medical University, Jining, China
| | - Yong Xu
- MDT Center for Cognitive Impairment and Sleep Disorders, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Sha Liu
- MDT Center for Cognitive Impairment and Sleep Disorders, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Hongjun Tian
- Psychiatric-Neuroimaging-Genetics-Comorbidity Laboratory (PNGC_Lab), Tianjin Mental Health Centre, Mental Health Teaching Hospital of Tianjin Medical University, Tianjin Anding Hospital, Tianjin, China
| | - Chuanjun Zhuo
- Institute of Brain Micro Scale Imaging Centre, School of Mental Health, Jining Medical University, Jining, China.,MDT Center for Cognitive Impairment and Sleep Disorders, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.,Psychiatric-Neuroimaging-Genetics-Comorbidity Laboratory (PNGC_Lab), Tianjin Mental Health Centre, Mental Health Teaching Hospital of Tianjin Medical University, Tianjin Anding Hospital, Tianjin, China
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15
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Long Y, Cao H, Yan C, Chen X, Li L, Castellanos FX, Bai T, Bo Q, Chen G, Chen N, Chen W, Cheng C, Cheng Y, Cui X, Duan J, Fang Y, Gong Q, Guo W, Hou Z, Hu L, Kuang L, Li F, Li K, Li T, Liu Y, Luo Q, Meng H, Peng D, Qiu H, Qiu J, Shen Y, Shi Y, Si T, Wang C, Wang F, Wang K, Wang L, Wang X, Wang Y, Wu X, Wu X, Xie C, Xie G, Xie H, Xie P, Xu X, Yang H, Yang J, Yao J, Yao S, Yin Y, Yuan Y, Zhang A, Zhang H, Zhang K, Zhang L, Zhang Z, Zhou R, Zhou Y, Zhu J, Zou C, Zang Y, Zhao J, Kin-Yuen Chan C, Pu W, Liu Z. Altered resting-state dynamic functional brain networks in major depressive disorder: Findings from the REST-meta-MDD consortium. Neuroimage Clin 2020; 26:102163. [PMID: 31953148 PMCID: PMC7229351 DOI: 10.1016/j.nicl.2020.102163] [Citation(s) in RCA: 74] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 11/17/2019] [Accepted: 01/02/2020] [Indexed: 02/05/2023]
Abstract
BACKGROUND Major depressive disorder (MDD) is known to be characterized by altered brain functional connectivity (FC) patterns. However, whether and how the features of dynamic FC would change in patients with MDD are unclear. In this study, we aimed to characterize dynamic FC in MDD using a large multi-site sample and a novel dynamic network-based approach. METHODS Resting-state functional magnetic resonance imaging (fMRI) data were acquired from a total of 460 MDD patients and 473 healthy controls, as a part of the REST-meta-MDD consortium. Resting-state dynamic functional brain networks were constructed for each subject by a sliding-window approach. Multiple spatio-temporal features of dynamic brain networks, including temporal variability, temporal clustering and temporal efficiency, were then compared between patients and healthy subjects at both global and local levels. RESULTS The group of MDD patients showed significantly higher temporal variability, lower temporal correlation coefficient (indicating decreased temporal clustering) and shorter characteristic temporal path length (indicating increased temporal efficiency) compared with healthy controls (corrected p < 3.14×10-3). Corresponding local changes in MDD were mainly found in the default-mode, sensorimotor and subcortical areas. Measures of temporal variability and characteristic temporal path length were significantly correlated with depression severity in patients (corrected p < 0.05). Moreover, the observed between-group differences were robustly present in both first-episode, drug-naïve (FEDN) and non-FEDN patients. CONCLUSIONS Our findings suggest that excessive temporal variations of brain FC, reflecting abnormal communications between large-scale bran networks over time, may underlie the neuropathology of MDD.
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Affiliation(s)
- Yicheng Long
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China; Mental Health Institute, Central South University, Changsha, Hunan 410011, China; Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, USA
| | - Hengyi Cao
- Department of Psychology, Yale University, 2 Hillhouse Avenue, New Haven, CT 06511, USA.
| | - Chaogan Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China; Magnetic Resonance Imaging Research Center and Research Center for Lifespan Development of Mind and Brain, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Child and Adolescent Psychiatry, NYU School of Medicine, New York, NY 10016, USA
| | - Xiao Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Le Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Francisco Xavier Castellanos
- Department of Child and Adolescent Psychiatry, NYU School of Medicine, New York, NY 10016, USA; Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962, USA
| | - Tongjian Bai
- The first affiliated hospital of Anhui Medical University, Hefei, Anhui 230022, China
| | - Qijing Bo
- Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Guanmao Chen
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong 510630, China
| | - Ningxuan Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Chen
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, China
| | - Chang Cheng
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China
| | - Yuqi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Xilong Cui
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China
| | - Jia Duan
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang, Liaoning 110001, China
| | - Yiru Fang
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Qiyong Gong
- Huaxi MR Research Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Wenbin Guo
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China
| | - Zhenghua Hou
- Department of Psychosomatics and Psychiatry, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu 210096, China
| | - Lan Hu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Li Kuang
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Feng Li
- Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Kaiming Li
- Huaxi MR Research Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Tao Li
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yansong Liu
- Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu 215137, China
| | - Qinghua Luo
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Huaqing Meng
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Daihui Peng
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Haitang Qiu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Jiang Qiu
- Faculty of Psychology, Southwest University, Chongqing 400716, China
| | - Yuedi Shen
- Department of Diagnostics, Affiliated Hospital, Medical School, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China
| | - Yushu Shi
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Tianmei Si
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China
| | - Chuanyue Wang
- Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Fei Wang
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang, Liaoning 110001, China
| | - Kai Wang
- The first affiliated hospital of Anhui Medical University, Hefei, Anhui 230022, China
| | - Li Wang
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China
| | - Xiang Wang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China
| | - Ying Wang
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong 510630, China
| | - Xiaoping Wu
- Xi'an Central Hospital, Xi'an, Shaanxi 710003, China
| | - Xinran Wu
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Chunming Xie
- Department of Neurology, Affiliated Zhongda Hospital of Southeast University, Nanjing, Jiangsu 210009, China
| | - Guangrong Xie
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China
| | - Haiyan Xie
- Department of Psychiatry, The Fourth Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Peng Xie
- Institute of Neuroscience, Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Xiufeng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Hong Yang
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Jian Yang
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China
| | - Jiashu Yao
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, China
| | - Shuqiao Yao
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China
| | - Yingying Yin
- Department of Psychosomatics and Psychiatry, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu 210096, China
| | - Yonggui Yuan
- Department of Psychosomatics and Psychiatry, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu 210096, China
| | - Aixia Zhang
- First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Hong Zhang
- Xi'an Central Hospital, Xi'an, Shaanxi 710003, China
| | - Kerang Zhang
- First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Lei Zhang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhijun Zhang
- Xi'an Central Hospital, Xi'an, Shaanxi 710003, China
| | - Rubai Zhou
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yiting Zhou
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Junjuan Zhu
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Chaojie Zou
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Yufeng Zang
- Center for Cognition and Brain Disorders, Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang 311121, China
| | - Jingping Zhao
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China
| | | | - Weidan Pu
- Medical Psychological Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Zhening Liu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China; Mental Health Institute, Central South University, Changsha, Hunan 410011, China.
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16
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Effects of depression and cognitive impairment on quality of life in older adults with schizophrenia spectrum disorder: Results from a multicenter study. J Affect Disord 2019; 256:164-175. [PMID: 31176189 DOI: 10.1016/j.jad.2019.05.063] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 04/14/2019] [Accepted: 05/27/2019] [Indexed: 11/24/2022]
Abstract
BACKGROUND Little is known about the respective effects of depression and cognitive impairment on quality of life among older adults with schizophrenia spectrum disorder. METHODS We used data from the Cohort of individuals with Schizophrenia Aged 55-years or more (CSA) study, a large multicenter sample of older adults with schizophrenia or schizoaffective disorder (N = 353). Quality of life (QoL), depression and cognitive impairment were assessed using the Quality of Life Scale (QLS), the Center of Epidemiologic Studies Depression scale and the Mini-Mental State Examination, respectively. We used structural equation modeling to examine the shared and specific effects of depression and cognitive impairment on QoL, while adjusting for sociodemographic characteristics, general medical conditions, psychotropic medications and the duration of the disorder. RESULTS Depression and cognitive impairment were positively associated (r = 0.24, p < 0.01) and both independently and negatively impacted on QoL (standardized β = -0.41 and β = -0.32, both p < 0.01) and on each QLS quality-of-life domains, except for depression on instrumental role and cognitive impairment on interpersonal relations in the sensitivity analyses excluding respondents with any missing data. Effects of depression and cognitive impairment on QoL were not due to specific depressive symptoms or specific cognitive domains, but rather mediated through two broad dimensions representing the shared effects across all depressive symptoms and all cognitive deficits, respectively. LIMITATIONS Because of the cross-sectional design of this study, measures of association do not imply causal associations. CONCLUSIONS Mechanisms underlying these two broad dimensions should be considered as important potential targets to improve quality of life of this vulnerable population.
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17
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Positive and negative valences of the Human body in schizophrenia: A pilot study of emotional narrative regarding the front and back. NEW IDEAS IN PSYCHOLOGY 2019. [DOI: 10.1016/j.newideapsych.2019.01.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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18
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Becker S, Bräscher AK, Bannister S, Bensafi M, Calma-Birling D, Chan RCK, Eerola T, Ellingsen DM, Ferdenzi C, Hanson JL, Joffily M, Lidhar NK, Lowe LJ, Martin LJ, Musser ED, Noll-Hussong M, Olino TM, Pintos Lobo R, Wang Y. The role of hedonics in the Human Affectome. Neurosci Biobehav Rev 2019; 102:221-241. [PMID: 31071361 PMCID: PMC6931259 DOI: 10.1016/j.neubiorev.2019.05.003] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Revised: 03/25/2019] [Accepted: 05/03/2019] [Indexed: 01/06/2023]
Abstract
Experiencing pleasure and displeasure is a fundamental part of life. Hedonics guide behavior, affect decision-making, induce learning, and much more. As the positive and negative valence of feelings, hedonics are core processes that accompany emotion, motivation, and bodily states. Here, the affective neuroscience of pleasure and displeasure that has largely focused on the investigation of reward and pain processing, is reviewed. We describe the neurobiological systems of hedonics and factors that modulate hedonic experiences (e.g., cognition, learning, sensory input). Further, we review maladaptive and adaptive pleasure and displeasure functions in mental disorders and well-being, as well as the experience of aesthetics. As a centerpiece of the Human Affectome Project, language used to express pleasure and displeasure was also analyzed, and showed that most of these analyzed words overlap with expressions of emotions, actions, and bodily states. Our review shows that hedonics are typically investigated as processes that accompany other functions, but the mechanisms of hedonics (as core processes) have not been fully elucidated.
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Affiliation(s)
- Susanne Becker
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159 Mannheim, Germany.
| | - Anne-Kathrin Bräscher
- Department of Clinical Psychology, Psychotherapy and Experimental Psychopathology, University of Mainz, Wallstr. 3, 55122 Mainz, Germany.
| | | | - Moustafa Bensafi
- Research Center in Neurosciences of Lyon, CNRS UMR5292, INSERM U1028, Claude Bernard University Lyon 1, Lyon, Centre Hospitalier Le Vinatier, 95 bd Pinel, 69675 Bron Cedex, France.
| | - Destany Calma-Birling
- Department of Psychology, University of Wisconsin-Oshkosh, 800 Algoma, Blvd., Clow F011, Oshkosh, WI 54901, USA.
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
| | - Tuomas Eerola
- Durham University, Palace Green, DH1 RL3, Durham, UK.
| | - Dan-Mikael Ellingsen
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, CNY149-2301, 13th St, Charlestown, MA 02129, USA.
| | - Camille Ferdenzi
- Research Center in Neurosciences of Lyon, CNRS UMR5292, INSERM U1028, Claude Bernard University Lyon 1, Lyon, Centre Hospitalier Le Vinatier, 95 bd Pinel, 69675 Bron Cedex, France.
| | - Jamie L Hanson
- University of Pittsburgh, Department of Psychology, 3939 O'Hara Street, Rm. 715, Pittsburgh, PA 15206, USA.
| | - Mateus Joffily
- Groupe d'Analyse et de Théorie Economique (GATE), 93 Chemin des Mouilles, 69130, Écully, France.
| | - Navdeep K Lidhar
- Department of Psychology, University of Toronto Mississauga, Mississauga, ON L5L 1C6, Canada.
| | - Leroy J Lowe
- Neuroqualia (NGO), 36 Arthur Street, Truro, NS, B2N 1X5, Canada.
| | - Loren J Martin
- Department of Psychology, University of Toronto Mississauga, Mississauga, ON L5L 1C6, Canada.
| | - Erica D Musser
- Department of Psychology, Center for Childen and Families, Florida International University, 11200 SW 8th St., Miami, FL 33199, USA.
| | - Michael Noll-Hussong
- Clinic for Psychiatry and Psychotherapy, Division of Psychosomatic Medicine and Psychotherapy, Saarland University Medical Centre, Kirrberger Strasse 100, D-66421 Homburg, Germany.
| | - Thomas M Olino
- Temple University, Department of Psychology, 1701N. 13th St, Philadelphia, PA 19010, USA.
| | - Rosario Pintos Lobo
- Department of Psychology, Center for Childen and Families, Florida International University, 11200 SW 8th St., Miami, FL 33199, USA.
| | - Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
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19
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Pushkarskaya H, Sobowale K, Henick D, Tolin DF, Anticevic A, Pearlson GD, Levy I, Harpaz-Rotem I, Pittenger C. Contrasting contributions of anhedonia to obsessive-compulsive, hoarding, and post-traumatic stress disorders. J Psychiatr Res 2019; 109:202-213. [PMID: 30572276 PMCID: PMC8549853 DOI: 10.1016/j.jpsychires.2018.11.029] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2018] [Revised: 11/28/2018] [Accepted: 11/30/2018] [Indexed: 01/28/2023]
Abstract
Anhedonia is a transdiagnostic construct that can occur independent of other symptoms of depression; its role in neuropsychiatric disorders that are not primarily affective, such as obsessive compulsive disorder (OCD), hoarding disorder (HD), and post-traumatic stress disorder (PTSD) has received limited attention. This paper addresses this gap. First, the data revealed a positive contribution of anhedonia, beyond the effects of general depression, to symptom severity in OCD but not in HD or PTSD. Second, anhedonia was operationalized as a reduced sensitivity to rewards, which allowed employing the value based decision making framework to investigate effects of anhedonia on reward-related behavioral outcomes, such as increased risk aversion and increased difficulty of making value-based choices. Both self-report and behavior-based measures were used to characterize individual risk aversion: risk perception and risk-taking propensities (measured using the Domain Specific Risk Taking scale) and risk attitudes evaluated using a gambling task. Data revealed the positive theoretically predicted correlation between anhedonia and risk perception in OCD; effects on self-reported risk taking and behavior-based risk aversion were non-significant. The same relations were weaker in HD and absent in PTSD. Response time during a gambling task, an index of difficulty of making value-based choices, significantly correlated with anhedonia in individuals with OCD and individuals with HD, even after controlling for general depression, but not in individuals with PTSD. The results suggest a unique contribution of one aspect of anhedonia in obsessive-compulsive disorder and confirm the importance of investigating the role of anhedonia transdiagnostically beyond affective and psychotic disorders.
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Affiliation(s)
- Helen Pushkarskaya
- Section of Comparative Medicine, Yale School of Medicine, New Haven, CT, 06510, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA.
| | - Kunmi Sobowale
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Daniel Henick
- Section of Comparative Medicine, Yale School of Medicine, New Haven, CT, 06510, USA
| | - David F Tolin
- Department of Psychology, Yale University, New Haven, CT, 06510, USA; Anxiety Disorders Center, Institute of Living, Hartford Hospital, Hartford, CT, 06114, USA
| | - Alan Anticevic
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA; National Institute on Alcohol Abuse and Alcoholism (NIAAA) Center for the Translational Neuroscience of Alcoholism (CTNA), Yale University, New Haven, CT, 06519, USA; Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, Department of Psychiatry, Yale University, New Haven, CT, 06519, USA
| | - Godfrey D Pearlson
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA; Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, CT, 06114, USA
| | - Ifat Levy
- Section of Comparative Medicine, Yale School of Medicine, New Haven, CT, 06510, USA; Department of Neurobiology, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Ilan Harpaz-Rotem
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA; National Center for PTSD, VA Connecticut Healthcare System and Yale Department of Psychiatry, USA
| | - Christopher Pittenger
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA; Department of Psychology, Yale University, New Haven, CT, 06510, USA; Child Study Center, Yale School of Medicine, New Haven, CT, 06510, USA
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20
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Szczypiński JJ, Gola M. Dopamine dysregulation hypothesis: the common basis for motivational anhedonia in major depressive disorder and schizophrenia? Rev Neurosci 2018; 29:727-744. [PMID: 29573379 DOI: 10.1515/revneuro-2017-0091] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Accepted: 01/30/2018] [Indexed: 12/12/2022]
Abstract
Abnormalities in reward processing are crucial symptoms of major depressive disorder (MDD) and schizophrenia (SCH). Recent neuroscientific findings regarding MDD have led to conclusions about two different symptoms related to reward processing: motivational and consummatory anhedonia, corresponding, respectively, to impaired motivation to obtain rewards ('wanting'), and diminished satisfaction from consuming them ('liking'). One can ask: which of these is common for MDD and SCH. In our review of the latest neuroscientific studies, we show that MDD and SCH do not share consummatory anhedonia, as SCH patients usually have unaltered liking. Therefore, we investigated whether motivational anhedonia is the common symptom across MDD and SCH. With regard to the similarities and differences between the neural mechanisms of MDD and SCH, here we expand the current knowledge of motivation deficits and present the common underlying mechanism of motivational anhedonia - the dopamine dysregulation hypothesis - stating that any prolonged dysregulation in tonic dopamine signaling that exceeds the given equilibrium can lead to striatal dysfunction and motivational anhedonia. The implications for further research and treatment of MDD and SCH are also discussed.
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Affiliation(s)
- Jan Józef Szczypiński
- Laboratory of Brain Imaging, Neurobiology Center, Nencki Institute of Experimental Biology, Polish Academy of Sciences, 3 Pasteur Street, 02-093Warsaw, Poland.,Medical University of Warsaw, Chair of Psychiatry, Nowowiejska 27, 00-665Warsaw, Poland.,Center for Modern Interdisciplinary Technologies, Neurocognitive Laboratory, Wileńska 4, 87-100 Torun, Poland
| | - Mateusz Gola
- Swartz Center for Computational Neuroscience, Institute of Neural Computations, University of California San Diego, 9500 Gilman Drive, #0559, La Jolla, CA 92093-0559, USA.,Institute of Psychology, Polish Academy of Sciences, Clinical Neuroscience Lab, Jaracza 1, 00-001, Warsaw, Poland
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21
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Ram D, George M, Gowdappa B. Correlation of cognitive functions with emotional dysregulation in alcohol dependence: A preliminary study. Indian J Psychiatry 2018; 60:307-311. [PMID: 30405256 PMCID: PMC6201679 DOI: 10.4103/psychiatry.indianjpsychiatry_183_18] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
CONTEXT AND AIMS Dysfunction of cognition and emotion is known in alcohol dependence; however, their relationship in alcohol dependence is unknown. Thus, this study aimed to know the level of emotional dysregulation and cognitive functions and their correlation in patients with alcohol dependence. MATERIALS AND METHODS In this hospital-based cross-sectional study, 120 patients with alcohol dependence were consecutively recruited and assessed with sociodemographic and clinical pro forma, Montreal Cognitive Assessment (MoCA), and Difficulty in Emotional Regulation Scale-Short Form (DERS-SF). STATISTICAL ANALYSIS Descriptive statistical, Kruskal-Wallis H, and regression analysis. RESULTS Results revealed a mild level of cognitive impairment (mean MoCA score = 0 23.76) and high levels of emotional dysregulation (mean DERS-SF score = 0 26.90). On linear regression analysis (R 2 = 0.266, df = 0 1, F = 0 42.782, P =0.000), the score on MoCA had statistically significant negative association with score on DERS-SF (P = 0.001). CONCLUSIONS Cognitive impairment and emotional dysregulation are inversely related in patients with alcohol dependence. Improving the dysfunction may improve the outcome of alcohol dependence.
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Affiliation(s)
- Dushad Ram
- Department of Psychiatry, JSS Medical College and Hospital, Mysore, Karnataka, India
| | - Manju George
- Department of Psychiatry, JSS Medical College and Hospital, Mysore, Karnataka, India
| | - Basawanna Gowdappa
- Department of Medicine, JSS Medical College and Hospital, Mysore, Karnataka, India
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22
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Kessing LV, Miskowiak K. Does Cognitive Dysfunction in Bipolar Disorder Qualify as a Diagnostic Intermediate Phenotype?-A Perspective Paper. Front Psychiatry 2018; 9:490. [PMID: 30349492 PMCID: PMC6186783 DOI: 10.3389/fpsyt.2018.00490] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Accepted: 09/19/2018] [Indexed: 12/13/2022] Open
Abstract
The present perspective paper addresses and discusses whether cognitive dysfunction in bipolar disorder qualifies as a diagnostic intermediate phenotype using the Robin and Guze criteria of diagnostic validity. The paper reviews current data within (1) delineation of the clinical intermediate phenotype, (2) associations of the intermediate phenotype with para-clinical data such as brain imaging and blood-based data, (3) associations to family history / genetics, (4) characteristics during long-term follow-up, and (5) treatment effects on cognition. In this way, the paper identifies knowledge gaps and suggests recommendations for future research within each of the five areas. Based on the current state of knowledge, we conclude that cognitive dysfunction does not qualify as a diagnostic intermediate phenotype or endophenotype for bipolar disorder, although promising new evidence points to emotion and reward processing abnormalities as possible putative endophenotypes.
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Affiliation(s)
- Lars Vedel Kessing
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, University Hospital of Copenhagen and University of Copenhagen, Copenhagen, Denmark
| | - Kamilla Miskowiak
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, University Hospital of Copenhagen and University of Copenhagen, Copenhagen, Denmark.,Department of Psychology, University of Copenhagen, Copenhagen, Denmark
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23
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Wang Y, Ettinger U, Meindl T, Chan RCK. Association of schizotypy with striatocortical functional connectivity and its asymmetry in healthy adults. Hum Brain Mapp 2017; 39:288-299. [PMID: 29024192 DOI: 10.1002/hbm.23842] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Revised: 09/10/2017] [Accepted: 10/02/2017] [Indexed: 01/22/2023] Open
Abstract
Altered striatocortical functional connectivity has been suggested to be a trait marker of schizophrenia spectrum disorders, including schizotypal personality. In the present study, we examined the association between schizotypal personality traits and striatocortical functional connectivity in a sample of healthy adults. The German version of the Schizotypal Personality Questionnaire was obtained from N = 111 participants recruited from the general public. Resting-state functional magnetic resonance imaging scans were acquired at 3T. Six striatal seed regions in each hemisphere were defined and striatocortical resting-state functional connectivity (rsFC) as well as its lateralization indices was calculated. Regression analysis showed that schizotypy scores, especially from the positive dimension, were positively correlated with rsFC between ventral striatum and frontal cortex and negatively associated with rsFC between dorsal striatum and posterior cingulate. No significant associations were found between negative dimension schizotypy and striatocortical rsFC. We also found positive correlations between schizotypy total scores and lateralization index of right dorsal caudate and right rostral putamen. In conclusion, the present study extends previous evidence of altered striatocortical rsFC in the schizophrenia spectrum. The observed associations resemble in part the alterations observed in psychotic patients and their relatives, providing support for dimensionality from schizotypal personality to the clinical disorder. Hum Brain Mapp 39:288-299, 2018. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience (NACN) Lab, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
| | | | - Thomas Meindl
- Institute of Clinical Radiology, University of Munich, Munich, Germany
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience (NACN) Lab, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
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24
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Chen X, Liu C, He H, Chang X, Jiang Y, Li Y, Duan M, Li J, Luo C, Yao D. Transdiagnostic differences in the resting-state functional connectivity of the prefrontal cortex in depression and schizophrenia. J Affect Disord 2017; 217:118-124. [PMID: 28407554 DOI: 10.1016/j.jad.2017.04.001] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Revised: 02/22/2017] [Accepted: 04/02/2017] [Indexed: 01/06/2023]
Abstract
BACKGROUND Depression and schizophrenia are two of the most serious psychiatric disorders. They share similar symptoms but the pathology-specific commonalities and differences remain unknown. This study was conducted to acquire a full picture of the functional alterations in schizophrenia and depression patients. METHODS The resting-state fMRI data from 20 patients with schizophrenia, 20 patients with depression and 20 healthy control subjects were collected. A data-driven approach that included local functional connectivity density (FCD) analysis combined with multivariate pattern analysis (MVPA) was used to compare the three groups. RESULTS Based on the results of the MVPA, the local FCD value in the orbitofrontal cortex (OFC) can differentiate depression patients from schizophrenia patients. The patients with depression had a higher local FCD value in the medial and anterior parts of the OFC than the subjects in the other two groups, which suggested altered abstract and reward reinforces processing in depression patients. Subsequent functional connectivity analysis indicated that the connection in the prefrontal cortex was significantly lower in people with schizophrenia compared to people with depression and healthy controls. LIMITATION The systematically different medications for schizophrenia and depression may have different effects on functional connectivity. CONCLUSIONS These results suggested that the resting-state functional connectivity pattern in the prefrontal cortex may be a transdiagnostic difference between depression and schizophrenia patients.
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Affiliation(s)
- Xi Chen
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Chang Liu
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; College of Information Science and Engineering, Chengdu University, Chengdu 610106, China
| | - Hui He
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Xin Chang
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuchao Jiang
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yingjia Li
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Mingjun Duan
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; Department of psychiatry, Chengdu Mental Health Center, Chengdu, China
| | - Jianfu Li
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Cheng Luo
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
| | - Dezhong Yao
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
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25
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Mladinov M, Sedmak G, Fuller HR, Babić Leko M, Mayer D, Kirincich J, Štajduhar A, Borovečki F, Hof PR, Šimić G. Gene expression profiling of the dorsolateral and medial orbitofrontal cortex in schizophrenia. Transl Neurosci 2016; 7:139-150. [PMID: 28123834 PMCID: PMC5234522 DOI: 10.1515/tnsci-2016-0021] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Accepted: 11/05/2016] [Indexed: 12/29/2022] Open
Abstract
Schizophrenia is a complex polygenic disorder of unknown etiology. Over 3,000 candidate genes associated with schizophrenia have been reported, most of which being mentioned only once. Alterations in cognitive processing - working memory, metacognition and mentalization - represent a core feature of schizophrenia, which indicates the involvement of the prefrontal cortex in the pathophysiology of this disorder. Hence we compared the gene expression in postmortem tissue from the left and right dorsolateral prefrontal cortex (DLPFC, Brodmann's area 46), and the medial part of the orbitofrontal cortex (MOFC, Brodmann's area 11/12), in six patients with schizophrenia and six control brains. Although in the past decade several studies performed transcriptome profiling in schizophrenia, this is the first study to investigate both hemispheres, providing new knowledge about possible brain asymmetry at the level of gene expression and its relation to schizophrenia. We found that in the left hemisphere, twelve genes from the DLPFC and eight genes from the MOFC were differentially expressed in patients with schizophrenia compared to controls. In the right hemisphere there was only one gene differentially expressed in the MOFC. We reproduce the involvement of previously reported genes TARDBP and HNRNPC in the pathogenesis of schizophrenia, and report seven novel genes: SART1, KAT7, C1D, NPM1, EVI2A, XGY2, and TTTY15. As the differentially expressed genes only partially overlap with previous studies that analyzed other brain regions, our findings indicate the importance of considering prefrontal cortical regions, especially those in the left hemisphere, for obtaining disease-relevant insights.
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Affiliation(s)
- Mihovil Mladinov
- Department of Neuroscience, Croatian Institute for Brain Research, University of Zagreb Medical School, Zagreb, Croatia; Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Goran Sedmak
- Department of Neuroscience, Croatian Institute for Brain Research, University of Zagreb Medical School, Zagreb, Croatia
| | - Heidi R Fuller
- Wolfson Centre for Inherited Neuromuscular Disease, RJAH Orthopaedic Hospital, Oswestry, SY10 7AG, UK and Institute for Science and Technology in Medicine, Keele University, Staffordshire, ST5 5BG, United Kingdom of Great Britain and Northern Ireland
| | - Mirjana Babić Leko
- Department of Neuroscience, Croatian Institute for Brain Research, University of Zagreb Medical School, Zagreb, Croatia
| | - Davor Mayer
- Department of Forensic Medicine, University of Zagreb Medical School, Zagreb, Croatia
| | - Jason Kirincich
- Department of Neuroscience, Croatian Institute for Brain Research, University of Zagreb Medical School, Zagreb, Croatia
| | - Andrija Štajduhar
- Department of Neuroscience, Croatian Institute for Brain Research, University of Zagreb Medical School, Zagreb, Croatia
| | - Fran Borovečki
- Department of Neurology, University Clinical Hospital Zagreb, Zagreb, Croatia
| | - Patrick R Hof
- Fishberg Department of Neuroscience, and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Goran Šimić
- Department of Neuroscience, Croatian Institute for Brain Research, University of Zagreb Medical School, Zagreb, Croatia
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26
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Mladinov M, Sedmak G, Fuller HR, Babić Leko M, Mayer D, Kirincich J, Štajduhar A, Borovečki F, Hof PR, Šimić G. Gene expression profiling of the dorsolateral and medial orbitofrontal cortex in schizophrenia. Transl Neurosci 2016. [PMID: 28123834 DOI: 10.1515/tnsci-2016-0021/html] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2023] Open
Abstract
Schizophrenia is a complex polygenic disorder of unknown etiology. Over 3,000 candidate genes associated with schizophrenia have been reported, most of which being mentioned only once. Alterations in cognitive processing - working memory, metacognition and mentalization - represent a core feature of schizophrenia, which indicates the involvement of the prefrontal cortex in the pathophysiology of this disorder. Hence we compared the gene expression in postmortem tissue from the left and right dorsolateral prefrontal cortex (DLPFC, Brodmann's area 46), and the medial part of the orbitofrontal cortex (MOFC, Brodmann's area 11/12), in six patients with schizophrenia and six control brains. Although in the past decade several studies performed transcriptome profiling in schizophrenia, this is the first study to investigate both hemispheres, providing new knowledge about possible brain asymmetry at the level of gene expression and its relation to schizophrenia. We found that in the left hemisphere, twelve genes from the DLPFC and eight genes from the MOFC were differentially expressed in patients with schizophrenia compared to controls. In the right hemisphere there was only one gene differentially expressed in the MOFC. We reproduce the involvement of previously reported genes TARDBP and HNRNPC in the pathogenesis of schizophrenia, and report seven novel genes: SART1, KAT7, C1D, NPM1, EVI2A, XGY2, and TTTY15. As the differentially expressed genes only partially overlap with previous studies that analyzed other brain regions, our findings indicate the importance of considering prefrontal cortical regions, especially those in the left hemisphere, for obtaining disease-relevant insights.
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Affiliation(s)
- Mihovil Mladinov
- Department of Neuroscience, Croatian Institute for Brain Research, University of Zagreb Medical School, Zagreb, Croatia; Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Goran Sedmak
- Department of Neuroscience, Croatian Institute for Brain Research, University of Zagreb Medical School, Zagreb, Croatia
| | - Heidi R Fuller
- Wolfson Centre for Inherited Neuromuscular Disease, RJAH Orthopaedic Hospital, Oswestry, SY10 7AG, UK and Institute for Science and Technology in Medicine, Keele University, Staffordshire, ST5 5BG, United Kingdom of Great Britain and Northern Ireland
| | - Mirjana Babić Leko
- Department of Neuroscience, Croatian Institute for Brain Research, University of Zagreb Medical School, Zagreb, Croatia
| | - Davor Mayer
- Department of Forensic Medicine, University of Zagreb Medical School, Zagreb, Croatia
| | - Jason Kirincich
- Department of Neuroscience, Croatian Institute for Brain Research, University of Zagreb Medical School, Zagreb, Croatia
| | - Andrija Štajduhar
- Department of Neuroscience, Croatian Institute for Brain Research, University of Zagreb Medical School, Zagreb, Croatia
| | - Fran Borovečki
- Department of Neurology, University Clinical Hospital Zagreb, Zagreb, Croatia
| | - Patrick R Hof
- Fishberg Department of Neuroscience, and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Goran Šimić
- Department of Neuroscience, Croatian Institute for Brain Research, University of Zagreb Medical School, Zagreb, Croatia
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