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He M, Mao Y, Qiu J. Trait anxiety and corresponding neuromarkers predict internet addiction: A longitudinal study. J Behav Addict 2024; 13:177-190. [PMID: 38451271 PMCID: PMC10988413 DOI: 10.1556/2006.2023.00086] [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: 07/17/2023] [Revised: 11/09/2023] [Accepted: 12/22/2023] [Indexed: 03/08/2024] Open
Abstract
Background and Aims The high prevalence of internet addiction (IA) has become a worldwide problem that profoundly affects people's mental health and executive function. Empirical studies have suggested trait anxiety (TA) as one of the most robust predictors of addictive behaviors. The present study investigated the neural and socio-psychological mechanisms underlying the association between TA and IA. Methods Firstly, we tested the correlation between TA and IA. Then we investigated the longitudinal influence of TA on IA using a linear mixed effect (LME) model. Secondly, connectome-based predictive modeling (CPM) was employed to explore neuromarkers of TA, and we tested whether the identified neuromarkers of TA can predict IA. Lastly, stressful life events and default mode network (DMN) were considered as mediating variables to explore the relationship between TA and IA. Findings A significant positive correlation between TA and IA was found and the high TA group demonstrated higher IA across time. CPM results revealed that the functional connectivity of cognitive control and emotion-regulation circuits and DMN were significantly correlated with TA. Furthermore, a significant association was found between the neuromarkers of TA and IA. Notably, the CPM results were all validated in an independent sample. The results of mediation demonstrated that stressful life events and correlated functional connectivity mediated the association between TA and IA. Conclusions Findings of the present study facilitate a deeper understanding of the neural and socio-psychological mechanisms linking TA and IA and provide new directions for developing neural and psychological interventions.
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Affiliation(s)
- Miao He
- Key Laboratory of Cognition and Personality of the Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Yu Mao
- College of Computer and Information Science, College of Software, Southwest University, Chongqing, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality of the Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
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Ramasubbu R, Brown EC, Mouches P, Moore JA, Clark DL, Molnar CP, Kiss ZHT, Forkert ND. Multimodal imaging measures in the prediction of clinical response to deep brain stimulation for refractory depression: A machine learning approach. World J Biol Psychiatry 2024; 25:175-187. [PMID: 38185882 DOI: 10.1080/15622975.2023.2300795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 12/27/2023] [Indexed: 01/09/2024]
Abstract
OBJECTIVES This study compared machine learning models using unimodal imaging measures and combined multi-modal imaging measures for deep brain stimulation (DBS) outcome prediction in treatment resistant depression (TRD). METHODS Regional brain glucose metabolism (CMRGlu), cerebral blood flow (CBF), and grey matter volume (GMV) were measured at baseline using 18F-fluorodeoxy glucose (18F-FDG) positron emission tomography (PET), arterial spin labelling (ASL) magnetic resonance imaging (MRI), and T1-weighted MRI, respectively, in 19 patients with TRD receiving subcallosal cingulate (SCC)-DBS. Responders (n = 9) were defined by a 50% reduction in HAMD-17 at 6 months from the baseline. Using an atlas-based approach, values of each measure were determined for pre-selected brain regions. OneR feature selection algorithm and the naïve Bayes model was used for classification. Leave-out-one cross validation was used for classifier evaluation. RESULTS The performance accuracy of the CMRGlu classification model (84%) was greater than CBF (74%) or GMV (74%) models. The classification model using the three image modalities together led to a similar accuracy (84%0 compared to the CMRGlu classification model. CONCLUSIONS CMRGlu imaging measures may be useful for the development of multivariate prediction models for SCC-DBS studies for TRD. The future of multivariate methods for multimodal imaging may rest on the selection of complementing features and the developing better models.Clinical Trial Registration: ClinicalTrials.gov (#NCT01983904).
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Affiliation(s)
- Rajamannar Ramasubbu
- Department of Psychiatry, Clinical Neurosciences, Mathison Centre for Mental Health Research & Education, Calgary, Alberta, Canada
- Hotchkiss Brain Institute Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Elliot C Brown
- School of Health and Care Management, Arden University, Berlin, Germany
| | - Pauline Mouches
- Department of Radiology, Clinical Neurosciences, Hotchkiss Brain Institute, Cumming school of medicine, University of Calgary, Calgary, Alberta, Canada
| | - Jasmine A Moore
- Department of Radiology, Clinical Neurosciences, Hotchkiss Brain Institute, Cumming school of medicine, University of Calgary, Calgary, Alberta, Canada
| | - Darren L Clark
- Department of Psychiatry, Clinical Neurosciences, Mathison Centre for Mental Health Research & Education, Calgary, Alberta, Canada
- Hotchkiss Brain Institute Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Christine P Molnar
- Department of Radiology, Cumming school of medicine, University of Calgary, Calgary, Alberta, Canada
| | - Zelma H T Kiss
- Department of Psychiatry, Clinical Neurosciences, Mathison Centre for Mental Health Research & Education, Calgary, Alberta, Canada
- Hotchkiss Brain Institute Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Nils D Forkert
- Department of Radiology, Clinical Neurosciences, Hotchkiss Brain Institute, Cumming school of medicine, University of Calgary, Calgary, Alberta, Canada
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3
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Stoyanov D, Paunova R, Dichev J, Kandilarova S, Khorev V, Kurkin S. Functional magnetic resonance imaging study of group independent components underpinning item responses to paranoid-depressive scale. World J Clin Cases 2023; 11:8458-8474. [PMID: 38188204 PMCID: PMC10768520 DOI: 10.12998/wjcc.v11.i36.8458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 11/10/2023] [Accepted: 12/05/2023] [Indexed: 12/22/2023] Open
Abstract
BACKGROUND Our study expand upon a large body of evidence in the field of neuropsychiatric imaging with cognitive, affective and behavioral tasks, adapted for the functional magnetic resonance imaging (MRI) (fMRI) experimental environment. There is sufficient evidence that common networks underpin activations in task-based fMRI across different mental disorders. AIM To investigate whether there exist specific neural circuits which underpin differential item responses to depressive, paranoid and neutral items (DN) in patients respectively with schizophrenia (SCZ) and major depressive disorder (MDD). METHODS 60 patients were recruited with SCZ and MDD. All patients have been scanned on 3T magnetic resonance tomography platform with functional MRI paradigm, comprised of block design, including blocks with items from diagnostic paranoid (DP), depression specific (DS) and DN from general interest scale. We performed a two-sample t-test between the two groups-SCZ patients and depressive patients. Our purpose was to observe different brain networks which were activated during a specific condition of the task, respectively DS, DP, DN. RESULTS Several significant results are demonstrated in the comparison between SCZ and depressive groups while performing this task. We identified one component that is task-related and independent of condition (shared between all three conditions), composed by regions within the temporal (right superior and middle temporal gyri), frontal (left middle and inferior frontal gyri) and limbic/salience system (right anterior insula). Another component is related to both diagnostic specific conditions (DS and DP) e.g. It is shared between DEP and SCZ, and includes frontal motor/language and parietal areas. One specific component is modulated preferentially by to the DP condition, and is related mainly to prefrontal regions, whereas other two components are significantly modulated with the DS condition and include clusters within the default mode network such as posterior cingulate and precuneus, several occipital areas, including lingual and fusiform gyrus, as well as parahippocampal gyrus. Finally, component 12 appeared to be unique for the neutral condition. In addition, there have been determined circuits across components, which are either common, or distinct in the preferential processing of the sub-scales of the task. CONCLUSION This study has delivers further evidence in support of the model of trans-disciplinary cross-validation in psychiatry.
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Affiliation(s)
- Drozdstoy Stoyanov
- Department of Psychiatry, Medical University Plovdiv, Plovdiv 4000, Bulgaria
| | - Rositsa Paunova
- Research Institute, Medical University, Plovdiv 4002, Bulgaria
| | - Julian Dichev
- Faculty of Medicine, Medical University, Plovdiv 4002, Bulgaria
| | - Sevdalina Kandilarova
- Department of Psychiatry and Medical Psychology, Medical University, Plovdiv 4002, Bulgaria
| | - Vladimir Khorev
- Baltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, Kaliningrad 236041, Russia
| | - Semen Kurkin
- Baltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, Kaliningrad 236041, Russia
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4
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Jia F, Chen X, Du X, Tang Z, Ma X, Ning T, Zou S, Zuo S, Li H, Cui S, Deng Z, Fu J, Fu X, Huang Y, Li X, Lian T, Liao Y, Liu L, Lu B, Wang Y, Wang Y, Wang Z, Ye G, Zhang X, Zhu H, Quan C, Sun H, Yan C, Liu Y. Aberrant degree centrality profiles during rumination in major depressive disorder. Hum Brain Mapp 2023; 44:6245-6257. [PMID: 37837649 PMCID: PMC10619375 DOI: 10.1002/hbm.26510] [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: 04/11/2023] [Revised: 09/14/2023] [Accepted: 09/25/2023] [Indexed: 10/16/2023] Open
Abstract
Rumination is closely linked to the onset and maintenance of major depressive disorder (MDD). Prior neuroimaging studies have identified the association between self-reported rumination trait and the functional coupling among a network of brain regions using resting-state functional magnetic resonance imaging (MRI). However, little is known about the underlying neural circuitry mechanism during active rumination in MDD. Degree centrality (DC) is a simple metric to denote network integration, which is critical for higher-order psychological processes such as rumination. During an MRI scan, individuals with MDD (N = 45) and healthy controls (HC, N = 46) completed a rumination state task. We examined the interaction effect between the group (MDD vs. HC) and condition (rumination vs. distraction) on vertex-wise DC. We further characterized the identified brain region's functional involvement with Neurosynth and BrainMap. Network-wise seed-based functional connectivity (FC) analysis was also conducted for the identified region of interest. Finally, exploratory correlation analysis was conducted between the identified region of interest's network FCs and self-reported in-scanner affect levels. We found that a left superior frontal gyrus (SFG) region, generally overlapped with the frontal eye field, showed a significant interaction effect. Further analysis revealed its involvement with executive functions. FCs between this region, the frontoparietal, and the dorsal attention network (DAN) also showed significant interaction effects. Furthermore, its FC to DAN during distraction showed a marginally significant negative association with in-scanner affect level at the baseline. Our results implicated an essential role of the left SFG in the rumination's underlying neural circuitry mechanism in MDD and provided novel evidence for the conceptualization of rumination in terms of impaired executive control.
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Affiliation(s)
- Feng‐Nan Jia
- Soochow UniversitySuzhouJiangsuChina
- Suzhou Guangji HospitalThe Affiliated Guangji Hospital of Soochow UniversitySuzhouJiangsuChina
| | - Xiao Chen
- CAS Key Laboratory of Behavioral ScienceInstitute of PsychologyBeijingChina
- Temerty Centre for Therapeutic Brain Intervention, Campbell Family Research InstituteCentre for Addiction and Mental HealthTorontoOntarioCanada
- Department of PsychologyUniversity of Chinese Academy of SciencesBeijingChina
- Magnetic Resonance Imaging Research CenterInstitute of Psychology, Chinese Academy of SciencesBeijingChina
- International Big‐Data Center for Depression ResearchChinese Academy of SciencesBeijingChina
| | - Xiang‐Dong Du
- Soochow UniversitySuzhouJiangsuChina
- Suzhou Guangji HospitalThe Affiliated Guangji Hospital of Soochow UniversitySuzhouJiangsuChina
| | - Zhen Tang
- Suzhou Guangji HospitalThe Affiliated Guangji Hospital of Soochow UniversitySuzhouJiangsuChina
| | - Xiao‐Yun Ma
- Suzhou Guangji HospitalThe Affiliated Guangji Hospital of Soochow UniversitySuzhouJiangsuChina
| | - Tian‐Tian Ning
- Suzhou Guangji HospitalThe Affiliated Guangji Hospital of Soochow UniversitySuzhouJiangsuChina
| | - Si‐Yun Zou
- Suzhou Guangji HospitalThe Affiliated Guangji Hospital of Soochow UniversitySuzhouJiangsuChina
| | - Shang‐Fu Zuo
- Boston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Hui‐Xian Li
- The Third Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Shi‐Xian Cui
- CAS Key Laboratory of Behavioral ScienceInstitute of PsychologyBeijingChina
- Department of PsychologyUniversity of Chinese Academy of SciencesBeijingChina
- Magnetic Resonance Imaging Research CenterInstitute of Psychology, Chinese Academy of SciencesBeijingChina
- International Big‐Data Center for Depression ResearchChinese Academy of SciencesBeijingChina
- Sino‐Danish CollegeUniversity of Chinese Academy of SciencesBeijingChina
- Sino‐Danish Center for Education and ResearchBeijingChina
| | - Zhao‐Yu Deng
- CAS Key Laboratory of Behavioral ScienceInstitute of PsychologyBeijingChina
- Department of PsychologyUniversity of Chinese Academy of SciencesBeijingChina
- Magnetic Resonance Imaging Research CenterInstitute of Psychology, Chinese Academy of SciencesBeijingChina
- International Big‐Data Center for Depression ResearchChinese Academy of SciencesBeijingChina
| | - Jia‐Lin Fu
- Suzhou Guangji HospitalThe Affiliated Guangji Hospital of Soochow UniversitySuzhouJiangsuChina
| | - Xiao‐Qian Fu
- Suzhou Guangji HospitalThe Affiliated Guangji Hospital of Soochow UniversitySuzhouJiangsuChina
| | - Yue‐Xiang Huang
- Suzhou Guangji HospitalThe Affiliated Guangji Hospital of Soochow UniversitySuzhouJiangsuChina
| | - Xue‐Ying Li
- CAS Key Laboratory of Behavioral ScienceInstitute of PsychologyBeijingChina
- Department of PsychologyUniversity of Chinese Academy of SciencesBeijingChina
- Magnetic Resonance Imaging Research CenterInstitute of Psychology, Chinese Academy of SciencesBeijingChina
- International Big‐Data Center for Depression ResearchChinese Academy of SciencesBeijingChina
| | - Tao Lian
- CAS Key Laboratory of Behavioral ScienceInstitute of PsychologyBeijingChina
- Department of PsychologyUniversity of Chinese Academy of SciencesBeijingChina
- Magnetic Resonance Imaging Research CenterInstitute of Psychology, Chinese Academy of SciencesBeijingChina
- International Big‐Data Center for Depression ResearchChinese Academy of SciencesBeijingChina
| | - Yi‐Fan Liao
- CAS Key Laboratory of Behavioral ScienceInstitute of PsychologyBeijingChina
- Department of PsychologyUniversity of Chinese Academy of SciencesBeijingChina
- Magnetic Resonance Imaging Research CenterInstitute of Psychology, Chinese Academy of SciencesBeijingChina
- International Big‐Data Center for Depression ResearchChinese Academy of SciencesBeijingChina
| | - Li‐Li Liu
- Suzhou Guangji HospitalThe Affiliated Guangji Hospital of Soochow UniversitySuzhouJiangsuChina
| | - Bin Lu
- CAS Key Laboratory of Behavioral ScienceInstitute of PsychologyBeijingChina
- Department of PsychologyUniversity of Chinese Academy of SciencesBeijingChina
- Magnetic Resonance Imaging Research CenterInstitute of Psychology, Chinese Academy of SciencesBeijingChina
- International Big‐Data Center for Depression ResearchChinese Academy of SciencesBeijingChina
| | - Yan Wang
- Suzhou Guangji HospitalThe Affiliated Guangji Hospital of Soochow UniversitySuzhouJiangsuChina
| | - Yu‐Wei Wang
- CAS Key Laboratory of Behavioral ScienceInstitute of PsychologyBeijingChina
- Department of PsychologyUniversity of Chinese Academy of SciencesBeijingChina
- Magnetic Resonance Imaging Research CenterInstitute of Psychology, Chinese Academy of SciencesBeijingChina
- International Big‐Data Center for Depression ResearchChinese Academy of SciencesBeijingChina
| | - Zi‐Han Wang
- CAS Key Laboratory of Behavioral ScienceInstitute of PsychologyBeijingChina
- Department of PsychologyUniversity of Chinese Academy of SciencesBeijingChina
- Magnetic Resonance Imaging Research CenterInstitute of Psychology, Chinese Academy of SciencesBeijingChina
- International Big‐Data Center for Depression ResearchChinese Academy of SciencesBeijingChina
| | - Gang Ye
- Suzhou Guangji HospitalThe Affiliated Guangji Hospital of Soochow UniversitySuzhouJiangsuChina
| | - Xin‐Zhu Zhang
- Suzhou Guangji HospitalThe Affiliated Guangji Hospital of Soochow UniversitySuzhouJiangsuChina
| | - Hong‐Liang Zhu
- Suzhou Guangji HospitalThe Affiliated Guangji Hospital of Soochow UniversitySuzhouJiangsuChina
| | - Chuan‐Sheng Quan
- Department of PsychologyZhangjiagang Fourth People's HospitalZhangjiagangJiangsuChina
| | - Hong‐Yan Sun
- Department of RadiologySuzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow UniversitySuzhouJiangsuChina
| | - Chao‐Gan Yan
- CAS Key Laboratory of Behavioral ScienceInstitute of PsychologyBeijingChina
- Department of PsychologyUniversity of Chinese Academy of SciencesBeijingChina
- Magnetic Resonance Imaging Research CenterInstitute of Psychology, Chinese Academy of SciencesBeijingChina
- International Big‐Data Center for Depression ResearchChinese Academy of SciencesBeijingChina
- Sino‐Danish CollegeUniversity of Chinese Academy of SciencesBeijingChina
- Sino‐Danish Center for Education and ResearchBeijingChina
| | - Yan‐Song Liu
- Soochow UniversitySuzhouJiangsuChina
- Suzhou Guangji HospitalThe Affiliated Guangji Hospital of Soochow UniversitySuzhouJiangsuChina
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Petruso F, Giff A, Milano B, De Rossi M, Saccaro L. Inflammation and emotion regulation: a narrative review of evidence and mechanisms in emotion dysregulation disorders. Neuronal Signal 2023; 7:NS20220077. [PMID: 38026703 PMCID: PMC10653990 DOI: 10.1042/ns20220077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 10/25/2023] [Accepted: 10/27/2023] [Indexed: 12/01/2023] Open
Abstract
Emotion dysregulation (ED) describes a difficulty with the modulation of which emotions are felt, as well as when and how these emotions are experienced or expressed. It is a focal overarching symptom in many severe and prevalent neuropsychiatric diseases, including bipolar disorders (BD), attention deficit/hyperactivity disorder (ADHD), and borderline personality disorder (BPD). In all these disorders, ED can manifest through symptoms of depression, anxiety, or affective lability. Considering the many symptomatic similarities between BD, ADHD, and BPD, a transdiagnostic approach is a promising lens of investigation. Mounting evidence supports the role of peripheral inflammatory markers and stress in the multifactorial aetiology and physiopathology of BD, ADHD, and BPD. Of note, neural circuits that regulate emotions appear particularly vulnerable to inflammatory insults and peripheral inflammation, which can impact the neuroimmune milieu of the central nervous system. Thus far, few studies have examined the link between ED and inflammation in BD, ADHD, and BPD. To our knowledge, no specific work has provided a critical comparison of the results from these disorders. To fill this gap in the literature, we review the known associations and mechanisms linking ED and inflammation in general, and clinically, in BD, ADHD, and BD. Our narrative review begins with an examination of the routes linking ED and inflammation, followed by a discussion of disorder-specific results accounting for methodological limitations and relevant confounding factors. Finally, we critically discuss both correspondences and discrepancies in the results and comment on potential vulnerability markers and promising therapeutic interventions.
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Affiliation(s)
| | - Alexis E. Giff
- Department of Neuroscience, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Switzerland
| | - Beatrice A. Milano
- Sant’Anna School of Advanced Studies, Pisa, Italy
- University of Pisa, Pisa, Italy
| | | | - Luigi Francesco Saccaro
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Switzerland
- Department of Psychiatry, Geneva University Hospital, Switzerland
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6
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Zhang J, Zamoscik VE, Kirsch P, Gerchen MF. No evidence from a negative mood induction fMRI task for frontal functional asymmetry as a suitable neurofeedback target. Sci Rep 2023; 13:17557. [PMID: 37845332 PMCID: PMC10579342 DOI: 10.1038/s41598-023-44694-3] [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: 02/06/2023] [Accepted: 10/11/2023] [Indexed: 10/18/2023] Open
Abstract
Frontal functional asymmetry (FA) has been proposed as a potential target for neurofeedback (NFB) training for mental disorders but most FA NFB studies used electroencephalography while the investigations of FA NFB in functional magnetic resonance imaging (fMRI) are rather limited. In this study, we aimed at identifying functional asymmetry effects in fMRI and exploring its potential as a target for fMRI NFB studies by re-analyzing an existing data set containing a resting state measurement and a sad mood induction task of n = 30 participants with remitted major depressive disorder and n = 30 matched healthy controls. We applied low-frequency fluctuations (ALFF), fractional ALFF, and regional homogeneity and estimated functional asymmetry in both a voxel-wise and regional manner. We assessed functional asymmetry during rest and negative mood induction as well as functional asymmetry changes between the phases, and associated the induced mood change with the change in functional asymmetry. Analyses were conducted within as well as between groups. Despite extensive analyses, we identified only very limited effects. While some tests showed nominal significance, our results did not contain any clear identifiable patterns of effects that would be expected if a true underlying effect would be present. In conclusion, we do not find evidence for FA effects related to negative mood in fMRI, which questions the usefulness of FA measures for real-time fMRI neurofeedback as a treatment approach for affective disorders.
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Affiliation(s)
- Jingying Zhang
- Department of Clinical Psychology, Central Institute of Mental Health, University of Heidelberg/Medical Faculty Mannheim, Mannheim, Germany.
| | - Vera Eva Zamoscik
- Department of Clinical Psychology, Central Institute of Mental Health, University of Heidelberg/Medical Faculty Mannheim, Mannheim, Germany
| | - Peter Kirsch
- Department of Clinical Psychology, Central Institute of Mental Health, University of Heidelberg/Medical Faculty Mannheim, Mannheim, Germany
- Department of Psychology, University of Heidelberg, Heidelberg, Germany
- Bernstein Center for Computational Neuroscience Heidelberg/Mannheim, Mannheim, Germany
| | - Martin Fungisai Gerchen
- Department of Clinical Psychology, Central Institute of Mental Health, University of Heidelberg/Medical Faculty Mannheim, Mannheim, Germany
- Department of Psychology, University of Heidelberg, Heidelberg, Germany
- Bernstein Center for Computational Neuroscience Heidelberg/Mannheim, Mannheim, Germany
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7
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Kornelsen J, McIver T, Uddin MN, Figley CR, Marrie RA, Patel R, Fisk JD, Carter S, Graff L, Mazerolle EL, Bernstein CN. Altered voxel-based and surface-based morphometry in inflammatory bowel disease. Brain Res Bull 2023; 203:110771. [PMID: 37797750 DOI: 10.1016/j.brainresbull.2023.110771] [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: 04/18/2023] [Revised: 09/27/2023] [Accepted: 09/29/2023] [Indexed: 10/07/2023]
Abstract
Inflammatory bowel disease (IBD), including Crohn's disease (CD) and ulcerative colitis (UC), is characterized by inflammation of the gastrointestinal tract and is a disorder of the brain-gut axis. Neuroimaging studies of brain function and structure have helped better understand the relationships between the brain, gut, and comorbidity in IBD. Studies of brain structure have primarily employed voxel-based morphometry to measure grey matter volume and surface-based morphometry to measure cortical thickness. Far fewer studies have employed other surface-based morphometry metrics such as gyrification, cortical complexity, and sulcal depth. In this study, brain structure differences between 72 adults with IBD and 90 healthy controls were assessed using all five metrics. Significant differences were found for cortical thickness with the IBD group showing extensive left-lateralized thinning, and for cortical complexity with the IBD group showing greater complexity in the left fusiform and right posterior cingulate. No significant differences were found in grey matter volume, gyrification, or sulcal depth. Within the IBD group, a post hoc analysis identified that disease duration is associated with cortical complexity of the right supramarginal gyrus, albeit with a more lenient threshold applied.
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Affiliation(s)
- Jennifer Kornelsen
- Department of Radiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada; Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg Health Sciences Centre, Winnipeg, MB, Canada; University of Manitoba IBD Clinical and Research Centre, Winnipeg, MB, Canada.
| | - Theresa McIver
- Department of Radiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada; University of Manitoba IBD Clinical and Research Centre, Winnipeg, MB, Canada; Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Md Nasir Uddin
- Department of Radiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada; Department of Neurology, School of Medicine & Dentistry, University of Rochester, Rochester, NY, United States; Department of Biomedical Engineering, Hajim School of Engineering & Applied Sciences, University of Rochester, Rochester, NY, United States
| | - Chase R Figley
- Department of Radiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada; Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Winnipeg Health Sciences Centre, Winnipeg, MB, Canada
| | - Ruth Ann Marrie
- Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada; Department of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Ronak Patel
- Department of Clinical Health Psychology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - John D Fisk
- Nova Scotia Health and Departments of Psychiatry, Psychology & Neuroscience, and Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Sean Carter
- Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Lesley Graff
- Department of Clinical Health Psychology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Erin L Mazerolle
- Department of Psychology, Computer Science, and Biology, St. Francis Xavier University, Antigonish, Nova Scotia, Canada
| | - Charles N Bernstein
- University of Manitoba IBD Clinical and Research Centre, Winnipeg, MB, Canada; Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
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8
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Sun F, Wang Y, Li Y, Li Y, Wang S, Xu F, Wang X. Variation in functional networks between clinical and subclinical discharges in childhood absence epilepsy: A multi-frequency MEG study. Seizure 2023; 111:109-121. [PMID: 37598560 DOI: 10.1016/j.seizure.2023.08.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 08/06/2023] [Accepted: 08/09/2023] [Indexed: 08/22/2023] Open
Abstract
OBJECTIVE Two types of spike-and-wave discharges (SWDs) exist in childhood absence epilepsy (CAE): clinical discharges are prolonged and manifest primarily as impaired consciousness, whereas subclinical discharges are brief with few objectively visible symptoms. This study aimed to compare neural functional network and default mode network (DMN) activity between clinical and subclinical discharges to better understand the underlying mechanism of CAE. METHODS Using magnetoencephalography (MEG) data from 21 patients, we obtained 25 segments each of clinical discharges and subclinical discharges. Amplitude envelope correlation analysis was used to construct functional networks and graph theory was used to calculate network topological data. We then compared differences in functional connectivity within the DMN between clinical and subclinical discharges. All statistical comparisons were performed using paired-sample tests. RESULTS Compared to subclinical discharges, the functional network of clinical discharges exhibited higher synchronization - particularly in the parahippocampal gyrus - as early as 10 s before the seizure. Additionally, the functional network of clinical SWDs presented an anterior shift of key nodes in the alpha frequency band. Regarding clinical discharge progression, there were gradual increases in the parameter node strengths (S), clustering coefficients (C), and global efficiency (E) of the functional networks, while the path lengths (L) decreased. These changes were most prominent at the onset of discharges and followed by some recovery in the high-frequency bands, but no significant change in the low-frequency bands. Furthermore, connections within the DMN during the discharge period were significantly stronger for clinical discharge compared to subclinical discharges. CONCLUSIONS These findings suggest that a more regular network before abnormal discharges in clinical discharges contributes to SWD explosion and that the parahippocampal gyrus plays an important role in maintaining oscillations. An absence seizure is a gradual process and the emergence of SWDs may be accompanied by initiation of inhibitory mechanisms. Enhanced functional connectivity among DMN brain regions may indicate that patients have entered a state of introspection, and functional abnormalities in the parahippocampal gyrus may be associated with patients' transient memory loss.
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Affiliation(s)
- Fangling Sun
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yingfan Wang
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yihan Li
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yanzhang Li
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Siyi Wang
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Fengyuan Xu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaoshan Wang
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
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Zheng K, Li B, Lu H, Wang H, Liu J, Yan B, Friston KJ, Wu Y, Liu J, Zhang X, Liu M, Li L, Qin J, Chen B, Hu D, Li L. Aberrant temporal-spatial complexity of intrinsic fluctuations in major depression. Eur Arch Psychiatry Clin Neurosci 2023; 273:169-181. [PMID: 35419632 DOI: 10.1007/s00406-022-01403-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 03/25/2022] [Indexed: 11/28/2022]
Abstract
Accumulating evidence suggests that the brain is highly dynamic; thus, investigation of brain dynamics especially in brain connectivity would provide crucial information that stationary functional connectivity could miss. This study investigated temporal expressions of spatial modes within the default mode network (DMN), salience network (SN) and cognitive control network (CCN) using a reliable data-driven co-activation pattern (CAP) analysis in two independent data sets. We found enhanced CAP-to-CAP transitions of the SN in patients with MDD. Results suggested enhanced flexibility of this network in the patients. By contrast, we also found reduced spatial consistency and persistence of the DMN in the patients, indicating reduced variability and stability in individuals with MDD. In addition, the patients were characterized by prominent activation of mPFC. Moreover, further correlation analysis revealed that persistence and transitions of RCCN were associated with the severity of depression. Our findings suggest that functional connectivity in the patients may not be simply attenuated or potentiated, but just alternating faster or slower among more complex patterns. The aberrant temporal-spatial complexity of intrinsic fluctuations reflects functional diaschisis of resting-state networks as characteristic of patients with MDD.
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Affiliation(s)
- Kaizhong Zheng
- Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, China
| | - Baojuan Li
- School of Biomedical Engineering, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Hongbing Lu
- School of Biomedical Engineering, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Huaning Wang
- Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Jin Liu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Baoyu Yan
- School of Biomedical Engineering, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Karl J Friston
- The Wellcome Department of Imaging Neuroscience, Institute of Neurology, University College London, 12 Queen Square, London, WC1N 3AR, UK
| | - Yuxia Wu
- Department of Information and Communication Engineering, Xi'an Jiaotong University, Xi'an, 710032, China
| | - Jian Liu
- Network Center, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Xi Zhang
- School of Biomedical Engineering, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Mengwan Liu
- School of Biomedical Engineering, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Liang Li
- Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, 27 Tai-Ping Road, Beijing, 100850, China
| | - Jian Qin
- Department of Intelligence Science and Technology, College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073, China
| | - Badong Chen
- Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, China.
| | - Dewen Hu
- Department of Intelligence Science and Technology, College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073, China.
| | - Lingjiang Li
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.
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10
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Stopyra MA, Simon JJ, Rheude C, Nikendei C. Pathophysiological aspects of complex PTSD - a neurobiological account in comparison to classic posttraumatic stress disorder and borderline personality disorder. Rev Neurosci 2023; 34:103-128. [PMID: 35938987 DOI: 10.1515/revneuro-2022-0014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 06/25/2022] [Indexed: 01/11/2023]
Abstract
Despite a great diagnostic overlap, complex posttraumatic stress disorder (CPTSD) has been recognised by the ICD-11 as a new, discrete entity and recent empirical evidence points towards a distinction from simple posttraumatic stress disorder (PTSD) and borderline personality disorder (BPD). The development and maintenance of these disorders is sustained by neurobiological alterations and studies using functional magnetic resonance imaging (fMRI) may further contribute to a clear differentiation of CPTSD, PTSD and BPD. However, there are no existing fMRI studies directly comparing CPTSD, PTSD and BPD. In addition to a summarization of diagnostic differences and similarities, the current review aims to provide a qualitative comparison of neuroimaging findings on affective, attentional and memory processing in CPTSD, PTSD and BPD. Our narrative review alludes to an imbalance in limbic-frontal brain networks, which may be partially trans-diagnostically linked to the degree of trauma symptoms and their expression. Thus, CPTSD, PTSD and BPD may underlie a continuum where similar brain regions are involved but the direction of activation may constitute its distinct symptom expression. The neuronal alterations across these disorders may conceivably be better understood along a symptom-based continuum underlying CPTSD, PTSD and BPD. Further research is needed to amend for the heterogeneity in experimental paradigms and sample criteria.
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Affiliation(s)
- Marion A Stopyra
- Department of General Internal Medicine and Psychosomatics, Centre for Psychosocial Medicine, University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
| | - Joe J Simon
- Department of General Internal Medicine and Psychosomatics, Centre for Psychosocial Medicine, University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
| | - Christiane Rheude
- Department of General Internal Medicine and Psychosomatics, Centre for Psychosocial Medicine, University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
| | - Christoph Nikendei
- Department of General Internal Medicine and Psychosomatics, Centre for Psychosocial Medicine, University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
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11
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Sun J, Ma Y, Guo C, Du Z, Chen L, Wang Z, Li X, Xu K, Luo Y, Hong Y, Yu X, Xiao X, Fang J, Lu J. Distinct patterns of functional brain network integration between treatment-resistant depression and non treatment-resistant depression: A resting-state functional magnetic resonance imaging study. Prog Neuropsychopharmacol Biol Psychiatry 2023; 120:110621. [PMID: 36031163 DOI: 10.1016/j.pnpbp.2022.110621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 08/13/2022] [Accepted: 08/21/2022] [Indexed: 12/01/2022]
Abstract
BACKGROUND Previous neuroimaging has paid little attention to the differences in brain network integration between patients with treatment-resistant depression(TRD) and non-TRD (nTRD), and the relationship between their impaired brain network integration and clinical symptoms has not been elucidated. METHOD Eighty one major depressive disorder (MDD) patients (40 in TRD, 41 in nTRD) and 40 healthy controls (HCs) were enrolled for the functional magnetic resonance imaging (fMRI) scans. A seed-based functional connectivity (FC) method was used to investigate the brain network abnormalities of default mode network (DMN), affective network (AN), salience network (SN) and cognitive control network (CCN) for the MDD. Finally, the correlation was analyzed between the abnormal FCs and 17-item Hamilton Rating Scale for Depression scale (HAMD-17) scores. RESULTS Compared with the HC group, the FCs in DMN, AN, SN, CCN were altered in both the TRD and nTRD groups. Compared with the nTRD group, FC alterations in the AN and CCN were more abnormal in the TRD group, and the FC alterations were generally decreased at the SN in the TRD group. In addition, the FC values of right dorsolateral prefrontal cortices and left caudate nucleus in the TRD group and the FC values of right subgenual anterior cingulate cortex and left middle temporal gyrus in the nTRD group were positively correlated with HAMD-17 scale scores. CONCLUSIONS Abnormal FCs are present in four brain networks (DMN, AN, SN, CCN) in both the TRD and nTRD groups. Except of DMN, FCs in AN, SN and CCN maybe underlay the neurobiological mechanism in differentiating TRD from nTRD.
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Affiliation(s)
- Jifei Sun
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 100053 Beijing, China
| | - Yue Ma
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 100053 Beijing, China
| | - Chunlei Guo
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 100053 Beijing, China
| | - Zhongming Du
- Dongzhimen Hospital, Beijing University of Chinese Medicine, 100700 Beijing, China
| | - Limei Chen
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 100053 Beijing, China
| | - Zhi Wang
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 100053 Beijing, China
| | - Xiaojiao Li
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 100053 Beijing, China
| | - Ke Xu
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 100053 Beijing, China
| | - Yi Luo
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 100053 Beijing, China
| | - Yang Hong
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 100053 Beijing, China
| | - Xue Yu
- Beijing First Hospital of Integrated Chinese and Western Medicine, 100026 Beijing, China
| | - Xue Xiao
- Beijing First Hospital of Integrated Chinese and Western Medicine, 100026 Beijing, China
| | - Jiliang Fang
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, 100053 Beijing, China.
| | - Jie Lu
- Xuanwu Hospital, Capital Medical University, 100053 Beijing, China.
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12
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Li Y, Li C, Zhang T, Wu L, Lin X, Li Y, Wang L, Yang H, Lu D, Miao D, Fang P. Questionnaires based on natural language processing elicit immersive ruminative thinking in ruminators: Evidence from behavioral responses and EEG data. Front Neurosci 2023; 17:1118650. [PMID: 36950128 PMCID: PMC10025410 DOI: 10.3389/fnins.2023.1118650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 02/06/2023] [Indexed: 03/08/2023] Open
Abstract
Rumination is closely related to mental disorders and can thus be used as a marker of their presence or a predictor of their development. The presence of masking and fabrication in psychological selection can lead to inaccurate detection of psychological disorders. Human language is considered crucial in eliciting specific conscious activities, and the use of natural language processing (NLP) in the development of questionnaires for psychological tests has the potential to elicit immersive ruminative thinking, leading to changes in neural activity. Electroencephalography (EEG) is commonly used to detect and record neural activity in the human brain and is sensitive to changes in brain activity. In this study, we used NLP to develop a questionnaire to induce ruminative thinking and then recorded the EEG signals in response to the questionnaire. The behavioral results revealed that ruminators exhibited higher arousal rates and longer reaction times, specifically in response to the ruminative items of the questionnaire. The EEG results showed no significant difference between the ruminators and the control group during the resting state; however, a significant alteration in the coherence of the entire brain of the ruminators existed while they were answering the ruminative items. No differences were found in the control participants while answering the two items. These behavioral and EEG results indicate that the questionnaire elicited immersive ruminative thinking, specifically in the ruminators. Therefore, the questionnaire designed using NLP is capable of eliciting ruminative thinking in ruminators, offering a promising approach for the early detection of mental disorders in psychological selection.
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Affiliation(s)
- Yulong Li
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, China
| | - Chenxi Li
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, China
| | - Tian Zhang
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, China
| | - Lin Wu
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, China
| | - Xinxin Lin
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, China
| | - Yijun Li
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, China
| | - Lingling Wang
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, China
| | - Huilin Yang
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, China
| | - Diyan Lu
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, China
| | - Danmin Miao
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, China
- Key Laboratory of Military Medical Psychology and Stress Support of PLA, Xi'an, China
- *Correspondence: Danmin Miao
| | - Peng Fang
- Department of Military Medical Psychology, Air Force Medical University, Xi'an, China
- Key Laboratory of Military Medical Psychology and Stress Support of PLA, Xi'an, China
- Shaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Xi'an, China
- School of Biomedical Engineering, Air Force Medical University, Xi'an, China
- Peng Fang
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13
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Teng C, Wang M, Wang W, Ma J, Jia M, Wu M, Luo Y, Wang Y, Zhang Y, Xu J. Abnormal Properties of Cortical Functional Brain Network in Major Depressive Disorder: Graph Theory Analysis Based on Electroencephalography-Source Estimates. Neuroscience 2022; 506:80-90. [PMID: 36272697 DOI: 10.1016/j.neuroscience.2022.10.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 10/04/2022] [Accepted: 10/11/2022] [Indexed: 11/05/2022]
Abstract
Studies of scalp electroencephalography (EEG) had shown altered topological organization of functional brain networks in patients with major depressive disorder (MDD). However, most previous EEG-based network analyses were performed at sensor level, while the interpretation of obtained results was not straightforward due to volume conduction effect. To reduce the impact of this defect, the whole cortical functional brain networks of MDD patients were studied during resting state based on EEG-source estimates in this paper. First, scalp EEG signals were recorded from 19 patients with MDD and 20 normal controls under resting eyes-closed state, and cortical neural signals were estimated by using sLORETA method. Then, the correntropy coefficient of wavelet packet coefficients was performed to calculate functional connectivity (FC) matrices in four different frequency bands: δ, θ, α, β, respectively. Afterwards, topological properties of brain networks were analyzed by graph theory approaches. The results showed that the global FC strength of MDD patients was significantly higher than that of healthy subjects in α band. Also, it was found that MDD patients have abnormally increased clustering coefficient and local efficiency in both α and β bands compared to normal people. Furthermore, patients with MDD exhibited increased nodal clustering coefficients in the left lingual gryus and left precuneus in α band. In addition, β band global clustering coefficient was positively correlated with the scores of depression severity. Therefore, the findings indicated the cortical functional brain networks in MDD patients were disruptions, which suggested it would be one of potential causes of depression.
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Affiliation(s)
- Chaolin Teng
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, PR China; The Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi 710049, PR China; Department of Aerospace Medicine, The Air Force Medical University, Xi'an, Shaanxi 710068, PR China
| | - Mengwei Wang
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, PR China; The Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi 710049, PR China
| | - Wei Wang
- Department of Psychiatry, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, PR China
| | - Jin Ma
- Department of Aerospace Medicine, The Air Force Medical University, Xi'an, Shaanxi 710068, PR China
| | - Min Jia
- Department of Psychiatry, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, PR China
| | - Min Wu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, PR China; The Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi 710049, PR China
| | - Yuanyuan Luo
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, PR China; The Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi 710049, PR China; Department of Psychology, Xi'an Mental Health Center, Xi'an, Shaanxi 710061, PR China
| | - Yu Wang
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, PR China; The Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi 710049, PR China
| | - Yiyang Zhang
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, PR China; The Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi 710049, PR China
| | - Jin Xu
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, PR China; The Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs, Xi'an, Shaanxi 710049, PR China.
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14
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Minami F, Hirano J, Ueda R, Takamiya A, Yamagishi M, Kamiya K, Mimura M, Yamagata B. Intergenerational concordance of brain structure between depressed mothers and their never-depressed daughters. Psychiatry Clin Neurosci 2022; 76:579-586. [PMID: 36082981 DOI: 10.1111/pcn.13461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 07/06/2022] [Accepted: 08/08/2022] [Indexed: 11/30/2022]
Abstract
AIM Parents have significant genetic and environmental influences, which are known as intergenerational effects, on the cognition, behavior, and brain of their offspring. These intergenerational effects are observed in patients with mood disorders, with a particularly strong association of depression between mothers and daughters. The main purpose of our study was to investigate female-specific intergenerational transmission patterns in the human brain among patients with depression and their never-depressed offspring. METHODS We recruited 78 participants from 34 families, which included remitted parents with a history of depression and their never-depressed biological offspring. We used source-based and surface-based morphometry analyses of magnetic resonance imaging data to examine the degree of associations in brain structure between four types of parent-offspring dyads (i.e. mother-daughter, mother-son, father-daughter, and father-son). RESULTS Using independent component analysis, we found a significant positive correlation of gray matter structure between exclusively the mother-daughter dyads within brain regions located in the default mode and central executive networks, such as the bilateral anterior cingulate cortex, posterior cingulate cortex, precuneus, middle frontal gyrus, middle temporal gyrus, superior parietal lobule, and left angular gyrus. These similar observations were not identified in other three parent-offspring dyads. CONCLUSIONS The current study provides biological evidence for greater vulnerability of daughters, but not sons, in developing depression whose mothers have a history of depression. Our findings extend our knowledge on the pathophysiology of major psychiatric conditions that show sex biases and may contribute to the development of novel interventions targeting high-risk individuals.
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Affiliation(s)
- Fusaka Minami
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Jinichi Hirano
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Ryo Ueda
- Office of Radiation Technology, Keio University Hospital, Tokyo, Japan
| | - Akihiro Takamiya
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Mika Yamagishi
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Kei Kamiya
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Bun Yamagata
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
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15
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Yan C, Ding Q, Wang Y, Wu M, Gao T, Liu X. The effect of cognitive reappraisal and expression suppression on sadness and the recognition of sad scenes: An event-related potential study. Front Psychol 2022; 13:935007. [PMID: 36211892 PMCID: PMC9537681 DOI: 10.3389/fpsyg.2022.935007] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 08/30/2022] [Indexed: 11/13/2022] Open
Abstract
Previous studies have found differences in the cognitive and neural mechanisms between cognitive reappraisal and expression suppression in the regulation of various negative emotions and the recognition of regulated stimuli. However, whether these differences are valid for sadness remains unclear. As such, we investigated the effect of cognitive reappraisal and expression suppression on sadness regulation and the recognition of sad scenes adopting event-related potentials (ERPs). Twenty-eight healthy undergraduate and graduate students took part in this study. In the regulation phase, the participants were asked to down-regulation, expressive suppression, or maintain their sad emotion evoked by the sad images, and then to perform an immediately unexpected recognition task involving the regulated images. The behavioral results show that down-regulation reappraisal significantly diminished subjective feelings of sadness, but expressive suppression did not; both strategies impaired the participants' recognition of sad images, and expressive suppression had a greater damaging effect on the recognition of sad images than down-regulation reappraisal. The ERP results indicate that reappraisal (from 300 ms to 1,500 ms after image onset) and expressive suppression (during 300-600 ms) significantly reduced the late positive potential (LPP) induced by sadness. These findings suggest that down-regulation reappraisal and expression suppression can effectively decrease sadness, and that down-regulation reappraisal (relative to expression suppression) is a more effective regulation strategy for sadness. Both strategies impair the recognition of sad scenes, and expression suppression (compared to down-regulation reappraisal) leads to relatively greater impairment in the recognition of sad scenes.
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Affiliation(s)
- Chunping Yan
- School of Psychology, Xinxiang Medical University, Xinxiang, China
| | - Qianqian Ding
- School of Psychology, Xinxiang Medical University, Xinxiang, China
| | - Yifei Wang
- School of Psychology, Xinxiang Medical University, Xinxiang, China
| | - Meng Wu
- School of Psychology, Xinxiang Medical University, Xinxiang, China
| | - Tian Gao
- School of Psychology, Xinxiang Medical University, Xinxiang, China
| | - Xintong Liu
- School of Psychology, Xinxiang Medical University, Xinxiang, China
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16
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Li C, Hu Q, Zhang D, Hoffstaedter F, Bauer A, Elmenhorst D. Neural correlates of affective control regions induced by common therapeutic strategies in major depressive disorders: An activation likelihood estimation meta-analysis study. Neurosci Biobehav Rev 2022; 137:104643. [PMID: 35367222 DOI: 10.1016/j.neubiorev.2022.104643] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 03/26/2022] [Accepted: 03/27/2022] [Indexed: 01/30/2023]
Abstract
In major depressive disorder (MDD), not only the pathophysiology of this disease is unknown but also the mechanisms of clinical efficacy across its therapeutic strategies are unclear. Although neuroimaging studies adopted activation likelihood estimation (ALE) approach to identify the convergent abnormalities of human brain in the MDD patients, the common alterations after antidepressant therapies were not summarized. Thus, we extracted the coordinates of brain regions in the MDD patients that showed differences in resting-state function, gray matter morphometry, and task-evoked neuronal responses after therapies. The ALE algorithm (GingerALE2.0.3) was employed in all 53 studies (64 experiments with 1406 MDD patients). Consistent results across treatment therapies were reported in the affective control network, including the bilateral thalamus, bilateral amygdala/parahippocampal gyrus, right anterior cingulate cortex/middle frontal gyrus, and right insular cortex/claustrum. Only electroconvulsive therapy partially replicated above findings. Our results indicate the antidepressant therapies efficiently influence core structures of the affective control network, which might be the underlying mechanism of remission in depression and provides potential targets for further treatment strategies.
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Affiliation(s)
- Changhong Li
- College of Teacher Education, Guangdong University of Education, Guangzhou 510303, China; Institute of Neuroscience and Medicine (INM-2), Forschungszentrum Jülich, 52425 Jülich, Germany
| | - Quanling Hu
- School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, China; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China
| | - Delong Zhang
- School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, China; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China,.
| | - Felix Hoffstaedter
- Institute of Neuroscience and Medicine-7, Juelich Research Center, Juelich, Germany; Institute of Systems Neuroscience, Heinrich Heine University, Duesseldorf, Germany
| | - Andreas Bauer
- Institute of Neuroscience and Medicine (INM-2), Forschungszentrum Jülich, 52425 Jülich, Germany; Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany
| | - David Elmenhorst
- Institute of Neuroscience and Medicine (INM-2), Forschungszentrum Jülich, 52425 Jülich, Germany; Rheinische Friedrich-Wilhelms-Universität Bonn, Division of Medical Psychology, Venusberg-Campus 1, 53127 Bonn, North Rhine-Westphalia, Germany; University Hospital Cologne, Multimodal Neuroimaging Group, Department of Nuclear Medicine, Kerpener Strasse 62, 50937 Cologne, North Rhine-Westphalia, Germany.
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17
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Dubol M, Wikström J, Lanzenberger R, Epperson CN, Sundström-Poromaa I, Comasco E. Grey matter correlates of affective and somatic symptoms of premenstrual dysphoric disorder. Sci Rep 2022; 12:5996. [PMID: 35397641 PMCID: PMC8994757 DOI: 10.1038/s41598-022-07109-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 02/08/2022] [Indexed: 12/21/2022] Open
Abstract
Ovarian hormones fluctuations across the menstrual cycle are experienced by about 58% of women in their fertile age. Maladaptive brain sensitivity to these changes likely leads to the severe psychological, cognitive, and physical symptoms repeatedly experienced by women with Premenstrual Dysphoric Disorder (PMDD) during the late luteal phase of the menstrual cycle. However, the neuroanatomical correlates of these symptoms are unknown. The relationship between grey matter structure and PMDD symptom severity was delineated using structural magnetic resonance imaging during the late luteal phase of fifty-one women diagnosed with PMDD, combined with Voxel- and Surface-Based Morphometry, as well as subcortical volumetric analyses. A negative correlation was found between depression-related symptoms and grey matter volume of the bilateral amygdala. Moreover, the severity of affective and somatic PMDD symptoms correlated with cortical thickness, gyrification, sulcal depth, and complexity metrics, particularly in the prefrontal, cingulate, and parahippocampal gyri. The present findings provide the first evidence of grey matter morphological characteristics associated with PMDD symptomatology in brain regions expressing ovarian hormone receptors and of relevance to cognitive-affective functions, thus potentially having important implications for understanding how structural brain characteristics relate to PMDD symptomatology.
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Affiliation(s)
- Manon Dubol
- Department of Neuroscience, Science for Life Laboratory, Uppsala University, POB 593, 75124, Uppsala, Sweden
| | - Johan Wikström
- Department of Surgical Sciences, Neuroradiology, Uppsala University, Uppsala, Sweden
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - C Neill Epperson
- Department of Psychiatry, Department of Family Medicine, University of Colorado School of Medicine-Anschutz Medical Campus, Aurora, USA
| | | | - Erika Comasco
- Department of Neuroscience, Science for Life Laboratory, Uppsala University, POB 593, 75124, Uppsala, Sweden.
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Grey matter covariation and the role of emotion reappraisal in mental wellbeing and resilience after early life stress exposure. Transl Psychiatry 2022; 12:85. [PMID: 35220403 PMCID: PMC8882193 DOI: 10.1038/s41398-022-01849-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 02/03/2022] [Accepted: 02/07/2022] [Indexed: 01/10/2023] Open
Abstract
Resilience is a process of adaptive recovery crucial in maintaining mental wellbeing after stress exposure. A psychological factor known to buffer stress and promote positive wellbeing outcomes is the ability to regulate emotions. However, the neural networks underlying resilience, and the possible mediating role of emotion regulation, remain largely unknown. Here, we examined the association between resilience and grey matter covariation (GMC) in healthy adults with and without early life stress (ELS) exposure, and whether emotion regulation mediated this brain-resilience association. Source-based morphometry was used to identify spatial patterns of common GMC in 242 healthy participants. Wellbeing was measured using the COMPAS-W Wellbeing Scale. Linear mixed models were run to establish associations between GMC and wellbeing scores. Moderated mediation models were used to examine a conditional mediating effect of emotion regulation on the brain-wellbeing relationship, moderated by ELS exposure. Distinct ELS-related morphometric patterns were found in association with resilience. In participants without ELS exposure, decreased GMC in the temporo-parietal regions was associated with wellbeing. In participants with ELS exposure, we observed increased patterns of covariation in regions related to the salience and executive control networks, and decreased GMC in temporo-parietal areas, which were associated with resilience. Cognitive reappraisal mediated the brain-wellbeing relationship in ELS-exposed participants only. Patterns of stronger GMC in regions associated with emotional and cognitive functioning in ELS-exposed participants with high levels of wellbeing may indicate possible neural signatures of resilience. This may be further heightened by utilising an adaptive form of emotion regulation.
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Bukkieva T, Pospelova M, Efimtsev A, Fionik O, Alekseeva T, Samochernych K, Gorbunova E, Krasnikova V, Makhanova A, Levchuk A, Trufanov G, Combs S, Shevtsov M. Functional Network Connectivity Reveals the Brain Functional Alterations in Breast Cancer Survivors. J Clin Med 2022; 11:jcm11030617. [PMID: 35160070 PMCID: PMC8837129 DOI: 10.3390/jcm11030617] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 12/29/2021] [Accepted: 01/10/2022] [Indexed: 02/04/2023] Open
Abstract
Different neurological and psychiatric disorders such as vertebrobasilar insufficiency, chronic pain syndrome, anxiety, and depression are observed in more than 90% of patients after treatment for breast cancer and may cause alterations in the functional connectivity of the default mode network. The purpose of the present study is to assess changes in the functional connectivity of the default mode network in patients after breast cancer treatment using resting state functional magnetic resonance imaging (rs-fMRI). Rs-fMRI was performed using a 3.0T MR-scanner on patients (N = 46, women) with neurological disorders (chronic pain, dizziness, headaches, and/or tinnitus) in the late postoperative period (>12 months) after Patey radical mastectomy for breast cancer. According to the intergroup statistical analysis, there were differences in the functional connectivity of the default mode network in all 46 patients after breast cancer treatment compared to the control group (p < 0.01). The use of rs-fMRI in in breast cancer survivors allowed us to identify changes in the functional connectivity in the brain caused by neurological disorders, which correlated with a decreased quality of life in these patients. The results indicate the necessity to improve treatment and rehabilitation methods in this group of patients.
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Affiliation(s)
- Tatyana Bukkieva
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Maria Pospelova
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Aleksandr Efimtsev
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Olga Fionik
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Tatyana Alekseeva
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Konstantin Samochernych
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Elena Gorbunova
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Varvara Krasnikova
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Albina Makhanova
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Anatoliy Levchuk
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Gennadiy Trufanov
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
| | - Stephanie Combs
- Department of Radiation Oncology, Technishe Universität München (TUM), Klinikum rechts der Isar, Ismaningerstr. 22, 81675 Munich, Germany;
| | - Maxim Shevtsov
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia; (T.B.); (M.P.); (A.E.); (O.F.); (T.A.); (K.S.); (E.G.); (V.K.); (A.M.); (A.L.); (G.T.)
- Department of Radiation Oncology, Technishe Universität München (TUM), Klinikum rechts der Isar, Ismaningerstr. 22, 81675 Munich, Germany;
- Laboratory of Biomedical Nanotechnologies, Institute of Cytology of the Russian Academy of Sciences (RAS), Tikhoretsky Ave. 4, 194064 Saint Petersburg, Russia
- Correspondence: ; Tel.: +7-981-829-4848
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20
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Li L, Li R, Shen F, Wang X, Zou T, Deng C, Wang C, Li J, Wang H, Huang X, Lu F, He Z, Chen H. Negative bias effects during audiovisual emotional processing in major depression disorder. Hum Brain Mapp 2021; 43:1449-1462. [PMID: 34888973 PMCID: PMC8837587 DOI: 10.1002/hbm.25735] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 11/17/2021] [Accepted: 11/25/2021] [Indexed: 12/27/2022] Open
Abstract
Aberrant affective neural processing and negative emotional bias are trait‐marks of major depression disorders (MDDs). However, most research on biased emotional perception in depression has only focused on unimodal experimental stimuli, the neural basis of potentially biased emotional processing of multimodal inputs remains unclear. Here, we addressed this issue by implementing an audiovisual emotional task during functional MRI scanning sessions with 37 patients with MDD and 37 gender‐, age‐ and education‐matched healthy controls. Participants were asked to distinguish laughing and crying sounds while being exposed to faces with different emotional valences as background. We combined general linear model and psychophysiological interaction analyses to identify abnormal local functional activity and integrative processes during audiovisual emotional processing in MDD patients. At the local neural level, MDD patients showed increased bias activity in the ventromedial prefrontal cortex (vmPFC) while listening to negative auditory stimuli and concurrently processing visual facial expressions, along with decreased dorsolateral prefrontal cortex (dlPFC) activity in both the positive and negative visual facial conditions. At the network level, MDD exhibited significantly decreased connectivity in areas involved in automatic emotional processes and voluntary control systems during perception of negative stimuli, including the vmPFC, dlPFC, insula, as well as the subcortical regions of posterior cingulate cortex and striatum. These findings support a multimodal emotion dysregulation hypothesis for MDD by demonstrating that negative bias effects may be facilitated by the excessive ventral bottom‐up negative emotional influences along with incapability in dorsal prefrontal top‐down control system.
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Affiliation(s)
- Liyuan Li
- The Clinical Hospital of Chengdu Brain Science Institute, 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, P. R. China
| | - Rong Li
- The Clinical Hospital of Chengdu Brain Science Institute, 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, P. R. China
| | - Fei Shen
- The Clinical Hospital of Chengdu Brain Science Institute, 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, P. R. China
| | - Xuyang Wang
- The Clinical Hospital of Chengdu Brain Science Institute, 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, P. R. China
| | - Ting Zou
- The Clinical Hospital of Chengdu Brain Science Institute, 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, P. R. China
| | - Chijun Deng
- The Clinical Hospital of Chengdu Brain Science Institute, 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, P. R. China
| | - Chong Wang
- The Clinical Hospital of Chengdu Brain Science Institute, 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, P. R. China
| | - Jiyi Li
- The Clinical Hospital of Chengdu Brain Science Institute, 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, P. R. China
| | - Hongyu Wang
- The Clinical Hospital of Chengdu Brain Science Institute, 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, P. R. China
| | - Xinju Huang
- The Clinical Hospital of Chengdu Brain Science Institute, 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, P. R. China
| | - Fengmei Lu
- The Clinical Hospital of Chengdu Brain Science Institute, 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, P. R. China
| | - Zongling He
- The Clinical Hospital of Chengdu Brain Science Institute, 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, P. R. China
| | - Huafu Chen
- The Clinical Hospital of Chengdu Brain Science Institute, 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, P. R. China.,Sichuan Provincial Center for Mental Health, The Center of Psychosomatic Medicine of Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, P. R. China
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21
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Lian J, Song Y, Zhang Y, Guo X, Wen J, Luo Y. Characterization of specific spatial functional connectivity difference in depression during sleep. J Neurosci Res 2021; 99:3021-3034. [PMID: 34637550 DOI: 10.1002/jnr.24947] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 07/14/2021] [Accepted: 08/04/2021] [Indexed: 11/08/2022]
Abstract
Depression is a common mental illness and a large number of researchers have been still devoted to exploring effective biomarkers for the identification of depression. Few researches have been conducted on functional connectivity (FC) during sleep in depression. In this paper, a novel depression characterization is proposed using specific spatial FC features of sleep electroencephalography (EEG). Overnight polysomnography recordings were obtained from 26 healthy individuals and 25 patients with depression. The weighted phase lag indexes (WPLIs) of four frequency bands and five sleep periods were obtained from 16 EEG channels. The high discriminative connections extracted via feature evaluation and the cross-within variation (CW)-the spatial feature constructed to characterize the different performances in inter- and intra-hemispheric FC based on WPLIs, were utilized to classify patients and normal controls. The results showed that enhanced average FC and spatial differences, higher inter-hemispheric FC and lower intra-hemispheric FC, were found in patients. Furthermore, abnormalities in the inter-hemispheric connections of the temporal lobe in the theta band should be important indicators of depression. Finally, both CW and high discriminative WPLI features performed well in depression screening and CW was more specific for characterizing abnormal cortical EEG performance of depression. Our work investigated and characterized the abnormalities in sleep cortical activity in patients with depression, and may provide potential biomarkers for assisting with depression identification and new insights into the understanding of pathological mechanisms in depression.
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Affiliation(s)
- Jiakai Lian
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China
| | - Yingjie Song
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China
| | - Yangting Zhang
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China
| | - Xinwen Guo
- Psychology Department, Guangdong 999 Brain Hospital, Guangzhou, China
| | - Jinfeng Wen
- Psychology Department, Guangdong 999 Brain Hospital, Guangzhou, China
| | - Yuxi Luo
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China.,Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, Sun Yat-Sen University, Guangzhou, China
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22
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Hsu TY, Liu TL, Cheng PZ, Lee HC, Lane TJ, Duncan NW. Depressive rumination is correlated with brain responses during self-related processing. J Psychiatry Neurosci 2021; 46:E518-E527. [PMID: 34548386 PMCID: PMC8526127 DOI: 10.1503/jpn.210052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 05/20/2021] [Accepted: 06/11/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Rumination, a tendency to focus on negative self-related thoughts, is a central symptom of depression. Studying the self-related aspect of such symptoms is challenging because of the need to distinguish self effects from the emotional content of task stimuli. This study employed an emotionally neutral self-related paradigm to investigate possible altered self-processing in depression and its link to rumination. METHODS People with major depressive disorder (n = 25) and controls (n = 25) underwent task-based electro-encephalogram recording. We studied late event-related potentials, along with low-frequency oscillatory power. We compared electroencephalogram metrics between groups and correlated them with depressive symptoms and reported rumination. RESULTS Participants with major depressive disorder displayed a difference in late positive potentials across frontocentral electrodes between self-related and non-self-related conditions. We found no such difference in controls. The magnitude of this difference was positively correlated with depressive symptoms and reported rumination. Participants with major depressive disorder also had elevated theta oscillation power at central electrodes in self-related conditions, a finding that we did not see in controls. LIMITATIONS Patients with major depressive disorder were medicated at the time of the study. The group studied was primarily female, so the observed effects may have been sex-specific. CONCLUSION Rumination appears to be linked to altered self-related processing in depression, independent of stimuli-related emotional confounds. This connection between self-related processing and depression may point to a self disorder as a core component of depression.
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Affiliation(s)
- Tzu-Yu Hsu
- From the Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan (Hsu, Liu, Cheng, Lane, Duncan); the Brain and Consciousness Research Centre, TMU Shuang-Ho Hospital, New Taipei City, Taiwan (Hsu, Cheng, Lane, Duncan); the Institute of Cognitive Neuroscience, National Central University, Zhongda, Taiwan (Liu); the Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan (Lee); and the Department of Psychiatry, Taipei Medical University Hospital, Taipei, Taiwan (Lee)
| | - Tzu-Ling Liu
- From the Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan (Hsu, Liu, Cheng, Lane, Duncan); the Brain and Consciousness Research Centre, TMU Shuang-Ho Hospital, New Taipei City, Taiwan (Hsu, Cheng, Lane, Duncan); the Institute of Cognitive Neuroscience, National Central University, Zhongda, Taiwan (Liu); the Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan (Lee); and the Department of Psychiatry, Taipei Medical University Hospital, Taipei, Taiwan (Lee)
| | - Paul Z Cheng
- From the Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan (Hsu, Liu, Cheng, Lane, Duncan); the Brain and Consciousness Research Centre, TMU Shuang-Ho Hospital, New Taipei City, Taiwan (Hsu, Cheng, Lane, Duncan); the Institute of Cognitive Neuroscience, National Central University, Zhongda, Taiwan (Liu); the Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan (Lee); and the Department of Psychiatry, Taipei Medical University Hospital, Taipei, Taiwan (Lee)
| | - Hsin-Chien Lee
- From the Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan (Hsu, Liu, Cheng, Lane, Duncan); the Brain and Consciousness Research Centre, TMU Shuang-Ho Hospital, New Taipei City, Taiwan (Hsu, Cheng, Lane, Duncan); the Institute of Cognitive Neuroscience, National Central University, Zhongda, Taiwan (Liu); the Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan (Lee); and the Department of Psychiatry, Taipei Medical University Hospital, Taipei, Taiwan (Lee)
| | - Timothy J Lane
- From the Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan (Hsu, Liu, Cheng, Lane, Duncan); the Brain and Consciousness Research Centre, TMU Shuang-Ho Hospital, New Taipei City, Taiwan (Hsu, Cheng, Lane, Duncan); the Institute of Cognitive Neuroscience, National Central University, Zhongda, Taiwan (Liu); the Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan (Lee); and the Department of Psychiatry, Taipei Medical University Hospital, Taipei, Taiwan (Lee)
| | - Niall W Duncan
- From the Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan (Hsu, Liu, Cheng, Lane, Duncan); the Brain and Consciousness Research Centre, TMU Shuang-Ho Hospital, New Taipei City, Taiwan (Hsu, Cheng, Lane, Duncan); the Institute of Cognitive Neuroscience, National Central University, Zhongda, Taiwan (Liu); the Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan (Lee); and the Department of Psychiatry, Taipei Medical University Hospital, Taipei, Taiwan (Lee)
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23
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Benschop L, Poppa T, Medani T, Shahabi H, Baeken C, Leahy RM, Pizzagalli DA, Vanderhasselt MA. Electrophysiological scarring in remitted depressed patients: Elevated EEG functional connectivity between the posterior cingulate cortex and the subgenual prefrontal cortex as a neural marker for rumination. J Affect Disord 2021; 281:493-501. [PMID: 33385828 DOI: 10.1016/j.jad.2020.12.081] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 12/18/2020] [Accepted: 12/21/2020] [Indexed: 12/17/2022]
Abstract
INTRODUCTION Prior resting state fMRI studies have revealed that elevated connectivity between the default mode network (DMN) and subgenual prefrontal cortex (sgPFC) connectivity may underly maladaptive rumination, which is a major risk factor for depression. To further evaluate such relationship, we investigated whether posterior regions of the DMN, showed elevated connectivity with the sgPFC in remitted depressed patients (rMDD) and whether this connectivity was related to maladaptive rumination. METHODS We examined whether rMDD (N = 20) had elevated EEG posterior DMN - sgPFC functional connectivity when compared to age and sex matched healthy controls (N = 17), and whether this posterior DMN - sgPFC connectivity positively correlated with rumination. Using minimum norm as the source estimation method, we extracted current density maps from six regions of interest (ROIs) within the posterior DMN. EEG source-space functional connectivity was calculated using the Amplitude Envelope Correlation method. RESULTS Relative to controls, rMDD showed increased posterior cingulate cortex (PCC) - sgPFC connectivity in the beta-3 (25-30 Hz) band. As hypothesized, PCC - sgPFC connectivity was positively associated with rumination for rMDD, even after controlling for depression and anxiety. LIMITATIONS The absence of an MDD patient group and the relatively small sample size can limit the generalizability of the results. CONCLUSIONS EEG resting state PCC - sgPFC functional connectivity is significantly elevated in rMDD and is associated with rumination, suggesting that EEG PCC - sgPFC connectivity may be useful as a neural marker to identify individuals at risk for depression.
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Affiliation(s)
- Lars Benschop
- Ghent University, Department of Psychiatry and Medical Psychology, Corneel Heymanslaan 10, 9000 Ghent Belgium.
| | - Tasha Poppa
- Ghent University, Department of Psychiatry and Medical Psychology, Corneel Heymanslaan 10, 9000 Ghent Belgium
| | | | | | - Chris Baeken
- Ghent University, Department of Psychiatry and Medical Psychology, Corneel Heymanslaan 10, 9000 Ghent Belgium; Free University of Brussels; Eindhoven University of Technology
| | | | | | - Marie-Anne Vanderhasselt
- Ghent University, Department of Psychiatry and Medical Psychology, Corneel Heymanslaan 10, 9000 Ghent Belgium
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24
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Miyagi T, Oishi N, Kobayashi K, Ueno T, Yoshimura S, Murai T, Fujiwara H. Psychological resilience is correlated with dynamic changes in functional connectivity within the default mode network during a cognitive task. Sci Rep 2020; 10:17760. [PMID: 33082442 PMCID: PMC7576164 DOI: 10.1038/s41598-020-74283-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 09/30/2020] [Indexed: 02/06/2023] Open
Abstract
Resilience is a dynamic process that enables organisms to cope with demanding environments. Resting-state functional MRI (fMRI) studies have demonstrated a negative correlation between resilience and functional connectivities (FCs) within the default mode network (DMN). Considering the on-demand recruitment process of resilience, dynamic changes in FCs during cognitive load increases may reflect essential aspects of resilience. We compared DMN FC changes in resting and task states and their association with resilience. Eighty-nine healthy volunteers completed the Connor–Davidson Resilience Scale (CD-RISC) and an fMRI with an auditory oddball task. The fMRI time series was divided into resting and task periods. We focused on FC changes between the latter half of the resting period and the former half of the task phase (switching), and between the former and latter half of the task phase (sustaining). FCs within the ventral DMN significantly increased during “switching” and decreased during “sustaining”. For FCs between the retrosplenial/posterior cingulate and the parahippocampal cortex, increased FC during switching was negatively correlated with CD-RISC scores. In individuals with higher resilience, ventral DMN connectivities were more stable and homeostatic in the face of cognitive demand. The dynamic profile of DMN FCs may represent a novel biomarker of resilience.
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Affiliation(s)
- Takashi Miyagi
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Naoya Oishi
- Medical Innovation Center, Kyoto University Graduate School of Medicine, Kyoto, Japan.
| | - Kei Kobayashi
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tsukasa Ueno
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.,Integrated Clinical Education Center, Kyoto University Hospital, Kyoto, Japan
| | - Sayaka Yoshimura
- Department of Neurodevelopmental Psychiatry, Habilitation and Rehabilitation, Kyoto University, Kyoto, Japan
| | - Toshiya Murai
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hironobu Fujiwara
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.,Artificial Intelligence Ethics and Society Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
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25
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Zamoscik V, Schmidt SN, Timm C, Kuehner C, Kirsch P. Modulation of respiration pattern variability and its relation to anxiety symptoms in remitted recurrent depression. Heliyon 2020; 6:e04261. [PMID: 32685708 PMCID: PMC7358718 DOI: 10.1016/j.heliyon.2020.e04261] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 03/27/2020] [Accepted: 06/17/2020] [Indexed: 12/04/2022] Open
Abstract
Background Depression is related to default mode network (DMN) connectivity and higher respiration pattern variability (RPV). In addition, DMN connectivity and RPV are interrelated and predict a poorer clinical course of depression. The association of RPV and depression might further be boosted by anxiety levels. Aim of the present study was to investigate whether a mindfulness-based training in emotionally challenged remitted depressed participants (rMDD) leads to reduced DMN connectivity and lower RPV, and if RPV interacts with anxiety levels. Methods To challenge participants, sad mood was induced with keywords of personal negative life events in 49 rMDD during fMRI before and after a 4-week mindfulness-based attention training (MBAT) or progressive muscle relaxation. Respiration was measured by means of a built-in respiration belt. Results After both trainings, rMDD showed no significant changes in DMN connectivity. However, MBAT was effective in reducing the RPV which was related to lower anxiety levels especially in high anxious individuals. Conclusions RPV can be influenced by training which may hint to an underlying biological pathway of training effects. Importantly, these effects seem to be associated with anxiety levels. Therefore, respiration focused training might be an important tool assisting the treatment of depression and anxiety.
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Affiliation(s)
- Vera Zamoscik
- Department Clinical Psychology, Central Institute of Mental Health, Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany
- Department of Psychology, University of Bonn, Germany
- Corresponding author.
| | - Stephanie N.L. Schmidt
- Department Clinical Psychology, Central Institute of Mental Health, Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany
- Research Group of Clinical Psychology, Department of Psychology, University of Konstanz, Germany
| | - Christina Timm
- Research Group Longitudinal and Intervention Research, Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Christine Kuehner
- Research Group Longitudinal and Intervention Research, Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany
| | - Peter Kirsch
- Department Clinical Psychology, Central Institute of Mental Health, Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany
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Rosenkranz T, Takano K, Watkins ER, Ehring T. Assessing repetitive negative thinking in daily life: Development of an ecological momentary assessment paradigm. PLoS One 2020; 15:e0231783. [PMID: 32310979 PMCID: PMC7170251 DOI: 10.1371/journal.pone.0231783] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 03/31/2020] [Indexed: 12/24/2022] Open
Abstract
Repetitive negative thinking (RNT) is a transdiagnostic process and a promising target for prevention and treatment of mental disorders. RNT is typically assessed via self-report questionnaires with most studies focusing on one type of RNT (i.e., worry or rumination) and one specific disorder (i.e., anxiety or depression). However, responses to such questionnaires may be biased by memory and metacognitive beliefs. Recently, Ecological Momentary Assessment (EMA) has been employed to minimize these biases. This study aims to develop an EMA paradigm to measure RNT as a transdiagnostic process in natural settings. Based on empirical and theoretical considerations, an item pool was created encompassing RNT content and processes. We then (1) tested model fit of a content-related and a process-related model for assessing RNT as an individual difference variable, (2) investigated the reliability and construct validity of the proposed scale(s), and (3) determined the optimal sampling design. One hundred fifty healthy participants aged 18 to 40 years filled out baseline questionnaires on rumination, worry, RNT, symptoms of depression, anxiety, and stress. Participants received 8 semi-random daily prompts assessing RNT over 14 days. After the EMA phase, participants answered questionnaires on depression, anxiety, and stress again. Multilevel confirmatory factor analysis revealed excellent model fit for the process-related model but unsatisfactory fit for the content-related model. Different hybrid models were additionally explored, yielding one model with satisfactory fit. Both the process-related and the hybrid scale showed good reliability and good convergent validity and were significantly associated with symptoms of depression, anxiety, and stress after the EMA phase when controlling for baseline scores. Further analyses found that a sampling design of 5 daily assessments across 10 days yielded the best tradeoff between participant burden and information retained by EMA. In sum, this paper presents a promising paradigm for assessing RNT in daily life.
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Affiliation(s)
| | | | - Edward R. Watkins
- Mood Disorders Centre, School of Psychology, University of Exeter, Exeter, United Kingdom
| | - Thomas Ehring
- Department of Psychology, LMU Munich, Munich, Germany
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Ebner-Priemer UW, Reichert M, Tost H, Meyer-Lindenberg A. [Wearables for context-triggered assessment in psychiatry]. DER NERVENARZT 2019; 90:1207-1214. [PMID: 31641793 DOI: 10.1007/s00115-019-00815-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The breathtaking technological progress in the field of mobile computing, smartphones and wearables offers new opportunities for psychiatric research and therapy. Wearables enable not only the objective assessment of psychiatric symptoms in real time and everyday life but using continuous monitoring and analysis of relevant parameters can also define important situations, contexts and timing during which extended assessment strategies and real-life interventions can be implemented. The momentary effect of inner city green space exposure on well-being, motivational behavior feedback and geofencing for the detection of drinking episodes are used as examples to illustrate the core benefits of real-time analyses and feedback from wearables for psychiatric research and therapy.
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Affiliation(s)
- U W Ebner-Priemer
- Mental mHealth Lab, Lehrstuhl für Angewandte Psychologie, Institut für Sport und Sportwissenschaft, Karlsruher Institut für Technologie, Engler-Bunte-Ring 15, Geb. 40.40, 76131, Karlsruhe, Deutschland.
| | - M Reichert
- Mental mHealth Lab, Lehrstuhl für Angewandte Psychologie, Institut für Sport und Sportwissenschaft, Karlsruher Institut für Technologie, Engler-Bunte-Ring 15, Geb. 40.40, 76131, Karlsruhe, Deutschland.,Klinik für Psychiatrie und Psychotherapie, Zentralinstitut für Seelische Gesundheit, Medizinische Fakultät Mannheim, Universität Heidelberg, J5, Mannheim, 76131, Deutschland
| | - H Tost
- Klinik für Psychiatrie und Psychotherapie, Zentralinstitut für Seelische Gesundheit, Medizinische Fakultät Mannheim, Universität Heidelberg, J5, Mannheim, 76131, Deutschland
| | - A Meyer-Lindenberg
- Klinik für Psychiatrie und Psychotherapie, Zentralinstitut für Seelische Gesundheit, Medizinische Fakultät Mannheim, Universität Heidelberg, J5, Mannheim, 76131, Deutschland
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28
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Furlan R, Melloni E, Finardi A, Vai B, Di Toro S, Aggio V, Battistini L, Borsellino G, Manfredi E, Falini A, Colombo C, Poletti S, Benedetti F. Natural killer cells protect white matter integrity in bipolar disorder. Brain Behav Immun 2019; 81:410-421. [PMID: 31254622 DOI: 10.1016/j.bbi.2019.06.037] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 06/08/2019] [Accepted: 06/25/2019] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Bipolar Disorder (BD) associates with disrupted white matter (WM) microstructure and functional connectivity, and with a perturbation of the immune system. Higher cytokines, and reduced T cells, correlated with WM disruption and fMRI responses. A core component of the innate immune system, natural killer (NK) cells were detected in brain parenchyma, but never studied in BD. METHODS We studied Diffusion Tensor Imaging (DTI) measures of water diffusion, fMRI corticolimbic functional response and connectivity, and multi-parameter cytofluorometry analysis of NK (CD56+) subpopulations, in 30 inpatients with active Bipolar Disorder type I. NK cells were also obtained in 36 healthy controls. RESULTS Patients had significantly higher circulating counts of CD56+GMCSF+, CD56+INFγ+, and CD56+IL17+. NK cell levels positively associated to fractional anisotropy (FA) measures. CD56+TNFα+, CD56+INFγ+, and CD56+GMCSF+ directly correlated with FA, and inversely with radial (RD) and mean (MD) diffusivity. Duration of lithium treatment associated with higher CD56+TNFα+, CD56+IL2+, and CD56+IL4+, and positively associated with FA in tracts were NKs had significant effects. A mediation model suggested a partial mediation of CD56+TNFα+ cells, higher in patients on lithium, on the effects of lithium on FA. Frequencies of the same cytokine-producing NK cells also influenced fMRI cortico-limbic functional connectivity during processing of both, emotional and non-emotional stimuli. DISCUSSION Higher circulating cytokine-producing NK cells associated with lithium treatment, and with DTI measures of WM integrity, partially mediating the effect of lithium on WM. The same cells associated with fMRI responses and connectivity, thus suggesting an effect on structural and functional connectomics in BD.
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Affiliation(s)
- Roberto Furlan
- Clinical Neuroimmunology Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Milano, Italy
| | - Elisa Melloni
- University Vita-Salute San Raffaele, Italy; Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, San Raffaele Scientific Institute, Milano, Italy
| | - Annamaria Finardi
- Clinical Neuroimmunology Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Milano, Italy
| | - Benedetta Vai
- University Vita-Salute San Raffaele, Italy; Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, San Raffaele Scientific Institute, Milano, Italy
| | - Sara Di Toro
- Clinical Neuroimmunology Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Milano, Italy
| | - Veronica Aggio
- University Vita-Salute San Raffaele, Italy; Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, San Raffaele Scientific Institute, Milano, Italy
| | | | | | | | - Andrea Falini
- University Vita-Salute San Raffaele, Italy; Department of Neuroradiology, San Raffaele Scientific Institute, Milano, Italy
| | - Cristina Colombo
- University Vita-Salute San Raffaele, Italy; Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, San Raffaele Scientific Institute, Milano, Italy
| | - Sara Poletti
- University Vita-Salute San Raffaele, Italy; Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, San Raffaele Scientific Institute, Milano, Italy
| | - Francesco Benedetti
- University Vita-Salute San Raffaele, Italy; Psychiatry & Clinical Psychobiology Unit, Division of Neuroscience, San Raffaele Scientific Institute, Milano, Italy.
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Lydon-Staley DM, Kuehner C, Zamoscik V, Huffziger S, Kirsch P, Bassett DS. Repetitive negative thinking in daily life and functional connectivity among default mode, fronto-parietal, and salience networks. Transl Psychiatry 2019; 9:234. [PMID: 31534117 PMCID: PMC6751201 DOI: 10.1038/s41398-019-0560-0] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Revised: 04/11/2019] [Accepted: 05/13/2019] [Indexed: 12/23/2022] Open
Abstract
Repetitive negative thinking (RNT) is a maladaptive response to sadness and a transdiagnostic risk-factor. A critical challenge hampering attempts to promote more adaptive responses to sadness is that the between-person characteristics associated with the tendency for RNT remain uncharacterized. From the perspective of the impaired disengagement hypothesis, we examine between-person differences in blood-oxygen-level-dependent (BOLD) functional networks underlying cognitive conflict signaling, self-referential thought, and cognitive flexibility, and the association between sadness and RNT in daily life. We pair functional magnetic resonance imaging with ambulatory assessments deployed 10 times per day over 4 consecutive days measuring momentary sadness and RNT from 58 participants (40 female, mean age = 36.69 years; 29 remitted from a lifetime episode of Major Depression) in a multilevel model. We show that RNT increases following sadness for participants with higher than average between-network connectivity of the default mode network and the fronto-parietal network. We also show that RNT increases following increases in sadness for participants with lower than average between-network connectivity of the fronto-parietal network and the salience network. We also find that flexibility of the salience network's pattern of connections with brain regions is protective against increases in RNT following sadness. Our findings highlight the importance of functional brain networks implicated in cognitive conflict signaling, self-referential thought, and cognitive flexibility for understanding maladaptive responses to sadness in daily life and provide support for the impaired disengagement hypothesis of RNT.
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Affiliation(s)
- D M Lydon-Staley
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - C Kuehner
- Research Group Longitudinal and Intervention Research, Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159, Mannheim, Germany
| | - V Zamoscik
- Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159, Mannheim, Germany
| | - S Huffziger
- Research Group Longitudinal and Intervention Research, Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159, Mannheim, Germany
- Institute Psychiatric and Psychosomatics Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159, Mannheim, Germany
| | - P Kirsch
- Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159, Mannheim, Germany
| | - D S Bassett
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Electrical & Systems Engineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Physics & Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvani, Philadelphia, PA, 19104, USA.
- Santa Fe Institute, Santa Fe, NM, 87501, USA.
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30
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Benito-León J, Sanz-Morales E, Melero H, Louis ED, Romero JP, Rocon E, Malpica N. Graph theory analysis of resting-state functional magnetic resonance imaging in essential tremor. Hum Brain Mapp 2019; 40:4686-4702. [PMID: 31332912 DOI: 10.1002/hbm.24730] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 07/05/2019] [Accepted: 07/08/2019] [Indexed: 11/10/2022] Open
Abstract
Essential tremor (ET) is a neurological disease with both motor and nonmotor manifestations; however, little is known about its underlying brain basis. Furthermore, the overall organization of the brain network in ET remains largely unexplored. We investigated the topological properties of brain functional network, derived from resting-state functional magnetic resonance imaging (MRI) data, in 23 ET patients versus 23 healthy controls. Graph theory analysis was used to assess the functional network organization. At the global level, the functional network of ET patients was characterized by lower small-worldness values than healthy controls-less clustered functionality of the brain. At the regional level, compared with the healthy controls, ET patients showed significantly higher values of global efficiency, cost and degree, and a shorter average path length in the left inferior frontal gyrus (pars opercularis), right inferior temporal gyrus (posterior division and temporo-occipital part), right inferior lateral occipital cortex, left paracingulate, bilateral precuneus bilaterally, left lingual gyrus, right hippocampus, left amygdala, nucleus accumbens bilaterally, and left middle temporal gyrus (posterior part). In addition, ET patients showed significant higher local efficiency and clustering coefficient values in frontal medial cortex bilaterally, subcallosal cortex, posterior cingulate cortex, parahippocampal gyri bilaterally (posterior division), right lingual gyrus, right cerebellar flocculus, right postcentral gyrus, right inferior semilunar lobule of cerebellum and culmen of vermis. Finally, the right intracalcarine cortex and the left orbitofrontal cortex showed a shorter average path length in ET patients, while the left frontal operculum and the right planum polare showed a higher betweenness centrality in ET patients. In conclusion, the efficiency of the overall brain functional network in ET is disrupted. Further, our results support the concept that ET is a disorder that disrupts widespread brain regions, including those outside of the brain regions responsible for tremor.
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Affiliation(s)
- Julián Benito-León
- Department of Neurology, University Hospital 12 de Octubre, Madrid, Spain.,Center of Biomedical Network Research on Neurodegenerative Diseases (CIBERNED), Madrid, Spain.,Department of Medicine, Faculty of Medicine, Complutense University, Madrid, Spain
| | - Emilio Sanz-Morales
- Medical Image Analysis Laboratory (LAIMBIO), Rey Juan Carlos University, Madrid, Spain
| | - Helena Melero
- Medical Image Analysis Laboratory (LAIMBIO), Rey Juan Carlos University, Madrid, Spain
| | - Elan D Louis
- Department of Neurology, Yale School of Medicine, Yale University, New Haven, Connecticut.,Department of Chronic Disease Epidemiology, Yale School of Public Health, Yale University, New Haven, Connecticut.,Center for Neuroepidemiology and Clinical Neurological Research, Yale School of Medicine, Yale University, New Haven, Connecticut
| | - Juan P Romero
- Faculty of Biosanitary Sciences, Francisco de Vitoria University, Madrid, Spain.,Brain Damage Unit, Hospital Beata Maria Ana, Madrid, Spain
| | - Eduardo Rocon
- Neural and Cognitive Engineering group, Center for Automation and Robotics (CAR) CSIC-UPM, Arganda del Rey, Spain
| | - Norberto Malpica
- Medical Image Analysis Laboratory (LAIMBIO), Rey Juan Carlos University, Madrid, Spain
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31
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Gosnell SN, Fowler JC, Salas R. Classifying suicidal behavior with resting-state functional connectivity and structural neuroimaging. Acta Psychiatr Scand 2019; 140:20-29. [PMID: 30929253 DOI: 10.1111/acps.13029] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/25/2019] [Indexed: 02/06/2023]
Abstract
OBJECTIVE About 80% of patients who commit suicide do not report suicidal ideation the last time they speak to their mental health provider, highlighting the need to identify biomarkers of suicidal behavior. Our goal is to identify suicidal behavior neural biomarkers to classify suicidal psychiatric inpatients. METHODS Eighty percent of our sample [suicidal (n = 63) and non-suicidal psychiatric inpatients (n = 65)] was used to determine significant differences in structural and resting-state functional connectivity measures throughout the brain. These measures were used in a random forest classification model on 80% of the sample for training the model. RESULTS The model built on 80% of the patients had sensitivity = 79.4% and specificity = 72.3%. This model was tested on an independent sample (20%; n = 32) with sensitivity = 81.3% and specificity = 75.0% for confirming the generalizability of the model. Altered resting-state functional connectivity features from frontal and middle temporal regions, as well as the amygdala, parahippocampus, putamen, and vermis were found to generalize best. CONCLUSION This work demonstrates neuroimaging (an unbiased biomarker) can be used to classify suicidal behavior in psychiatric inpatients without observing any clinical features.
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Affiliation(s)
- S N Gosnell
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA.,Michael E DeBakey VA Medical, Houston, TX, USA.,Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
| | - J C Fowler
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - R Salas
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA.,Michael E DeBakey VA Medical, Houston, TX, USA.,Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
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32
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Wang Q, Poh JS, Wen DJ, Broekman BFP, Chong YS, Yap F, Shek LP, Gluckman PD, Fortier MV, Qiu A. Functional and structural networks of lateral and medial orbitofrontal cortex as potential neural pathways for depression in childhood. Depress Anxiety 2019; 36:365-374. [PMID: 30597677 DOI: 10.1002/da.22874] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Revised: 11/02/2018] [Accepted: 12/01/2018] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Converging evidence suggests that the lateral and medial orbitofrontal cortices (lOFC and mOFC) may contribute distinct neural mechanisms in depression. This study investigated the relations of their functional and structural organizations with postnatal maternal depressive symptoms in young children. METHODS Resting-state functional magnetic resonance imaging and structural magnetic resonance imaging were acquired in children at age 4 (n = 199) and 6 years (n = 234). Child's withdrawal behavior problems were assessed using Child's Behavior Checklist. RESULTS In 4-year-old girls, postnatal maternal depressive symptoms were positively associated with the lOFC functional connectivity with the visual network but negatively with the cognitive control network. The lOFC functional connectivity with the visual network and cerebellum, which was influenced by postnatal maternal depressive symptoms, was also associated with child's withdrawal behavior problems in 6-year-old girls. Moreover, postnatal maternal depressive symptoms were also negatively associated with the mOFC functional connectivity with the cognitive control and motor networks in 4-year-old girls. Furthermore, postnatal maternal depressive symptoms influenced the structural connectivity of left mOFC with the right middle frontal cortex and left inferior temporal cortex in 4-year-old girls. Unlike girls, boys showed that postnatal maternal depressive symptoms selectively impacted the mOFC functional connectivity with the memory system at age 6 years. CONCLUSION Our study provided novel evidence on the distinct neural mechanisms of the lOFC and mOFC structural and functional organizations for intergenerational transmission of maternal depression to the offspring. Boys and girls may potentially employ different neural mechanisms to adapt to maternal environment at different timings of early life.
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Affiliation(s)
- Qiang Wang
- Department of Biomedical Engineering and Clinical Imaging Research Center, National University of Singapore, Singapore
| | - Joann S Poh
- Department of Biomedical Engineering and Clinical Imaging Research Center, National University of Singapore, Singapore
| | - Daniel J Wen
- Department of Biomedical Engineering and Clinical Imaging Research Center, National University of Singapore, Singapore
| | - Birit F P Broekman
- Singapore Institute for Clinical Sciences, Singapore.,Department of Psychiatry, VU Medical Centre, Amsterdam, The Netherlands
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences, Singapore.,Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore
| | - Fabian Yap
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore
| | - Lynette P Shek
- Department of Pediatrics, Khoo Teck Puat-National University Children's Medical Institute, National University of Singapore, Singapore
| | | | - Marielle V Fortier
- Department of Diagnostic and Interventional Imaging, KK Women's and Children's Hospital, Singapore
| | - Anqi Qiu
- Department of Biomedical Engineering and Clinical Imaging Research Center, National University of Singapore, Singapore.,Singapore Institute for Clinical Sciences, Singapore
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Eszlari N, Millinghoffer A, Petschner P, Gonda X, Baksa D, Pulay AJ, Réthelyi JM, Breen G, Deakin JFW, Antal P, Bagdy G, Juhasz G. Genome-wide association analysis reveals KCTD12 and miR-383-binding genes in the background of rumination. Transl Psychiatry 2019; 9:119. [PMID: 30886212 PMCID: PMC6423133 DOI: 10.1038/s41398-019-0454-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Revised: 01/31/2019] [Accepted: 02/13/2019] [Indexed: 12/12/2022] Open
Abstract
Ruminative response style is a passive and repetitive way of responding to stress, associated with several disorders. Although twin and candidate gene studies have proven the genetic underpinnings of rumination, no genome-wide association study (GWAS) has been conducted yet. We performed a GWAS on ruminative response style and its two subtypes, brooding and reflection, among 1758 European adults recruited in the general population of Budapest, Hungary, and Manchester, United Kingdom. We evaluated single-nucleotide polymorphism (SNP)-based, gene-based and gene set-based tests, together with inferences on genes regulated by our most significant SNPs. While no genome-wide significant hit emerged at the SNP level, the association of rumination survived correction for multiple testing with KCTD12 at the gene level, and with the set of genes binding miR-383 at the gene set level. SNP-level results were concordant between the Budapest and Manchester subsamples for all three rumination phenotypes. SNP-level results and their links to brain expression levels based on external databases supported the role of KCTD12, SRGAP3, and SETD5 in rumination, CDH12 in brooding, and DPYSL5, MAPRE3, KCNK3, ATXN7L3B, and TPH2 in reflection, among others. The relatively low sample size is a limitation of our study. Results of the first GWAS on rumination identified genes previously implicated in psychiatric disorders underscoring the transdiagnostic nature of rumination, and pointed to the possible role of the dorsolateral prefrontal cortex, hippocampus, and cerebellum in this cognitive process.
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Affiliation(s)
- Nora Eszlari
- Department of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary. .,NAP-2-SE New Antidepressant Target Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary.
| | - Andras Millinghoffer
- 0000 0001 0942 9821grid.11804.3cNAP-2-SE New Antidepressant Target Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary ,0000 0001 2180 0451grid.6759.dDepartment of Measurement and Information Systems, Budapest University of Technology and Economics, Budapest, Hungary
| | - Peter Petschner
- 0000 0001 0942 9821grid.11804.3cDepartment of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary ,0000 0001 0942 9821grid.11804.3cMTA-SE Neuropsychopharmacology and Neurochemistry Research Group, Hungarian Academy of Sciences, Semmelweis University, Budapest, Hungary
| | - Xenia Gonda
- 0000 0001 0942 9821grid.11804.3cNAP-2-SE New Antidepressant Target Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary ,0000 0001 0942 9821grid.11804.3cMTA-SE Neuropsychopharmacology and Neurochemistry Research Group, Hungarian Academy of Sciences, Semmelweis University, Budapest, Hungary ,0000 0001 0942 9821grid.11804.3cDepartment of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Daniel Baksa
- 0000 0001 0942 9821grid.11804.3cDepartment of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary ,0000 0001 0942 9821grid.11804.3cSE-NAP 2 Genetic Brain Imaging Migraine Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary
| | - Attila J. Pulay
- 0000 0001 0942 9821grid.11804.3cDepartment of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - János M. Réthelyi
- 0000 0001 0942 9821grid.11804.3cDepartment of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary ,0000 0001 0942 9821grid.11804.3cNAP2 Molecular Psychiatry Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary
| | - Gerome Breen
- 0000 0001 2322 6764grid.13097.3cSocial, Genetic and Developmental Psychiatry Centre, King’s College London, London, UK
| | - John Francis William Deakin
- 0000000121662407grid.5379.8Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK ,0000 0004 0417 0074grid.462482.eManchester Academic Health Sciences Centre, Manchester, UK ,0000 0004 0430 6955grid.450837.dGreater Manchester Mental Health NHS Foundation Trust, Prestwich, Manchester, M25 3BL UK
| | - Peter Antal
- 0000 0001 2180 0451grid.6759.dDepartment of Measurement and Information Systems, Budapest University of Technology and Economics, Budapest, Hungary
| | - Gyorgy Bagdy
- 0000 0001 0942 9821grid.11804.3cDepartment of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary ,0000 0001 0942 9821grid.11804.3cNAP-2-SE New Antidepressant Target Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary ,0000 0001 0942 9821grid.11804.3cMTA-SE Neuropsychopharmacology and Neurochemistry Research Group, Hungarian Academy of Sciences, Semmelweis University, Budapest, Hungary
| | - Gabriella Juhasz
- 0000 0001 0942 9821grid.11804.3cDepartment of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary ,0000 0001 0942 9821grid.11804.3cNAP-2-SE New Antidepressant Target Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary ,0000 0001 0942 9821grid.11804.3cMTA-SE Neuropsychopharmacology and Neurochemistry Research Group, Hungarian Academy of Sciences, Semmelweis University, Budapest, Hungary ,0000 0001 0942 9821grid.11804.3cSE-NAP 2 Genetic Brain Imaging Migraine Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary ,0000000121662407grid.5379.8Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK ,0000 0004 0417 0074grid.462482.eManchester Academic Health Sciences Centre, Manchester, UK
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The relationship of anxious and depressive symptoms in Parkinson's disease with voxel-based neuroanatomical and functional connectivity measures. J Affect Disord 2019; 245:580-588. [PMID: 30439681 DOI: 10.1016/j.jad.2018.10.364] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 09/12/2018] [Accepted: 10/31/2018] [Indexed: 12/20/2022]
Abstract
BACKGROUND Anxiety and depression are two frequent comorbidities of Parkinson's disease (PD). However, the underlying neural mechanism is still unclear and the studies on their neural correlates were insufficient. METHODS Using voxel-based neuroanatomical and functional connectivity (FC) measures, i.e. grey matter volume, fractional anisotropy, and weighted degree centrality (WD), we examined their correlations with the severity levels of anxious and depressive symptoms in 36 PD patients. RESULTS Positive correlations were shown between anxiety and the WDs in the left amygdala, and between depression and short-ranged WDs in the left parahippocampal gyrus. Using these two regions as the seeds, we found that the severity levels of anxiety and depression were positively correlated with the FCs between the two seeds and the areas in the default mode network (DMN), while negatively correlated with the FCs between the two seeds and the prefrontal and superior temporal cortices. Anxiety was also positively correlated with the FC between the amygdala and the superior parietal lobule. LIMITATIONS The severity levels of anxious and depressive symptoms of our participants is relatively mild than some previous studies. The cross-sectional design of this study cannot clarify the etiological relationship between PD and two comorbidities. CONCLUSIONS Our results were in line with the key roles of the amygdala and parahippocampal gyrus in anxiety and depression, and reflected the distinct effects of the DMN, prefrontal and superior temporal cortices, and sensory-motor regions on emotional regulation. The identification of these neural substrates might assist clinical monitoring mood disturbances in PD.
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Zhang L, Wu H, Xu J, Shang J. Abnormal Global Functional Connectivity Patterns in Medication-Free Major Depressive Disorder. Front Neurosci 2018; 12:692. [PMID: 30356761 PMCID: PMC6189368 DOI: 10.3389/fnins.2018.00692] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Accepted: 09/18/2018] [Indexed: 01/15/2023] Open
Abstract
Mounting studies have applied resting-state functional magnetic resonance imaging (rs-fMRI) to study major depressive disorder (MDD) and have identified abnormal functional activities. However, how the global functional connectivity patterns change in MDD is still unknown. Using rs-fMRI, we investigated the alterations of global resting-state functional connectivity (RSFC) patterns in MDD using weighted global brain connectivity (wGBC) method. First, a whole brain voxel-wise wGBC map was calculated for 23 MDD patients and 34 healthy controls. Two-sample t-tests were applied to compare the wGBC and RSFC maps and the significant level was set at p < 0.05, cluster-level correction with voxel-level p < 0.001. MDD patients showed significantly decreased wGBC in left temporal pole (TP) and increased wGBC in right parahippocampus (PHC). Subsequent RSFC analyses showed decreased functional interaction between TP and right posterior superior temporal cortex and increased functional interaction between PHC and right inferior frontal gyrus in MDD patients. These results revealed the abnormal global FC patterns and its corresponding disrupted functional connectivity in MDD. Our findings present new evidence for the functional interruption in MDD.
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Affiliation(s)
- Lu Zhang
- Lab of Learning Sciences, Graduate School of Education, Peking University, Beijing, China
| | - Huawang Wu
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Hui'ai Hospital), Guangzhou, China
| | - Jinping Xu
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Junjie Shang
- Lab of Learning Sciences, Graduate School of Education, Peking University, Beijing, China
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Zamoscik VE, Schmidt SNL, Gerchen MF, Samsouris C, Timm C, Kuehner C, Kirsch P. Respiration pattern variability and related default mode network connectivity are altered in remitted depression. Psychol Med 2018; 48:2364-2374. [PMID: 29335031 DOI: 10.1017/s0033291717003890] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Studies with healthy participants and patients with respiratory diseases suggest a relation between respiration and mood. The aim of the present analyses was to investigate whether emotionally challenged remitted depressed participants show higher respiration pattern variability (RPV) and whether this is related to mood, clinical outcome and increased default mode network connectivity. METHODS To challenge participants, sad mood was induced with keywords of personal negative life events in individuals with remitted depression [recurrent major depressive disorder (rMDD), n = 30] and matched healthy controls (HCs, n = 30) during functional magnetic resonance imaging. Respiration was measured by means of a built-in respiration belt. Additionally, questionnaires, a daily life assessment of mood and a 3 years follow-up were applied. For replication, we analysed RPV in an independent sample of 53 rMDD who underwent the same fMRI paradigm. RESULTS During sad mood, rMDD compared with HC showed greater RPV, with higher variability in pause duration and respiration frequency and lower expiration to inspiration ratio. Higher RPV was related to lower daily life mood and predicted higher depression scores as well as relapses during a 3-year follow-up period. Furthermore, in rMDD compared with HC higher main respiration frequency exhibited a more positive association with connectivity of the posterior cingulate cortex and the right parahippocampal gyrus. CONCLUSIONS The results suggest a relation between RPV, mood and depression on the behavioural and neural level. Based on our findings, we propose interventions focusing on respiration to be a promising additional tool in the treatment of depression.
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Affiliation(s)
- Vera Eva Zamoscik
- Department of Clinical Psychology,Central Institute of Mental Health,Mannheim,Medical Faculty Mannheim,Heidelberg University,Heidelberg,Germany
| | - Stephanie Nicole Lyn Schmidt
- Department of Clinical Psychology,Central Institute of Mental Health,Mannheim,Medical Faculty Mannheim,Heidelberg University,Heidelberg,Germany
| | - Martin Fungisai Gerchen
- Department of Clinical Psychology,Central Institute of Mental Health,Mannheim,Medical Faculty Mannheim,Heidelberg University,Heidelberg,Germany
| | - Christos Samsouris
- Department of Clinical Psychology,Central Institute of Mental Health,Mannheim,Medical Faculty Mannheim,Heidelberg University,Heidelberg,Germany
| | - Christina Timm
- Research Group Longitudinal and Intervention Research, Department of Psychiatry and Psychotherapy,Central Institute of Mental Health, Mannheim, Medical Faculty Mannheim,Heidelberg University,Heidelberg,Germany
| | - Christine Kuehner
- Research Group Longitudinal and Intervention Research, Department of Psychiatry and Psychotherapy,Central Institute of Mental Health, Mannheim, Medical Faculty Mannheim,Heidelberg University,Heidelberg,Germany
| | - Peter Kirsch
- Department of Clinical Psychology,Central Institute of Mental Health,Mannheim,Medical Faculty Mannheim,Heidelberg University,Heidelberg,Germany
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37
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Chalah MA, Ayache SS. Disentangling the Neural Basis of Cognitive Behavioral Therapy in Psychiatric Disorders: A Focus on Depression. Brain Sci 2018; 8:brainsci8080150. [PMID: 30096948 PMCID: PMC6120051 DOI: 10.3390/brainsci8080150] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 08/07/2018] [Accepted: 08/08/2018] [Indexed: 01/28/2023] Open
Abstract
Background: Major depressive disorder (MDD) stands among the most frequent psychiatric disorders. Cognitive behavioral therapy (CBT) has been shown to be effective for treating depression, yet its neural mechanisms of action are not well elucidated. The objective of this work is to assess the available neuroimaging studies exploring CBT’s effects in adult patients with MDD. Methods: Computerized databases were consulted till April 2018 and a research was conducted according to PRISMA guidelines in order to identify original research articles published at any time in English and French languages on this topic. Results: Seventeen studies were identified. Only one study was randomized comparing CBT to pharmacological interventions, and none included an effective control. Following CBT, changes occurred in cerebral areas that are part of the fronto-limbic system, namely the cingulate cortex, prefrontal cortex and amygdala-hippocampal complex. However, the pattern of activation and connectivity in these areas varied across the studies. Conclusion: A considerable heterogeneity exists with regard to study design, adapted CBT type and intensity, and employed neuroimaging paradigms, all of which may partly explain the difference in studies’ outcomes. The lack of randomization and effective controls in most of them makes it difficult to draw formal conclusion whether the observed effects are CBT mediated or due to spontaneous recovery. Despite the observed inconsistencies and dearth of data, CBT appears to exert its anti-depressant effects mainly by modulating the function of affective and cognitive networks devoted to emotions generation and control, respectively. This concept remains to be validated in large scale randomized controlled trials.
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Affiliation(s)
- Moussa A Chalah
- EA 4391 Excitabilité Nerveuse et Thérapeutique, Université Paris-Est, 94010 Créteil, France.
- Service de Physiologie-Explorations Fonctionnelles, Hôpital Henri Mondor, Assistance Publique-Hôpitaux de Paris, 94010 Créteil, France.
| | - Samar S Ayache
- EA 4391 Excitabilité Nerveuse et Thérapeutique, Université Paris-Est, 94010 Créteil, France.
- Service de Physiologie-Explorations Fonctionnelles, Hôpital Henri Mondor, Assistance Publique-Hôpitaux de Paris, 94010 Créteil, France.
- Neurology Division, Lebanese American University Medical Center-Rizk Hospital (LAUMC-RH), Beirut 1100, Lebanon.
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38
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Li BJ, Friston K, Mody M, Wang HN, Lu HB, Hu DW. A brain network model for depression: From symptom understanding to disease intervention. CNS Neurosci Ther 2018; 24:1004-1019. [PMID: 29931740 DOI: 10.1111/cns.12998] [Citation(s) in RCA: 154] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Revised: 05/29/2018] [Accepted: 05/29/2018] [Indexed: 12/13/2022] Open
Abstract
Understanding the neural substrates of depression is crucial for diagnosis and treatment. Here, we review recent studies of functional and effective connectivity in depression, in terms of functional integration in the brain. Findings from these studies, including our own, point to the involvement of at least four networks in patients with depression. Elevated connectivity of a ventral limbic affective network appears to be associated with excessive negative mood (dysphoria) in the patients; decreased connectivity of a frontal-striatal reward network has been suggested to account for loss of interest, motivation, and pleasure (anhedonia); enhanced default mode network connectivity seems to be associated with depressive rumination; and diminished connectivity of a dorsal cognitive control network is thought to underlie cognitive deficits especially ineffective top-down control of negative thoughts and emotions in depressed patients. Moreover, the restoration of connectivity of these networks-and corresponding symptom improvement-following antidepressant treatment (including medication, psychotherapy, and brain stimulation techniques) serves as evidence for the crucial role of these networks in the pathophysiology of depression.
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Affiliation(s)
- Bao-Juan Li
- School of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi, China.,Department of Radiology, Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Karl Friston
- The Wellcome Trust Centre for Neuroimaging, University College London, London, UK
| | - Maria Mody
- Department of Radiology, Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Hua-Ning Wang
- Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Hong-Bing Lu
- School of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - De-Wen Hu
- Department of Automatic Control, College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, China
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39
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Figueroa CA, Mocking RJT, van Wingen G, Martens S, Ruhé HG, Schene AH. Aberrant default-mode network-hippocampus connectivity after sad memory-recall in remitted-depression. Soc Cogn Affect Neurosci 2018; 12:1803-1813. [PMID: 28981917 PMCID: PMC5714211 DOI: 10.1093/scan/nsx108] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Accepted: 09/12/2017] [Indexed: 12/30/2022] Open
Abstract
Rumination and cognitive reactivity (dysfunctional cognitions after sad mood-induction) remain high in remitted Major Depressive Disorder (MDD) and can contribute to new episodes. These factors have been linked to increased fMRI resting-state functional-connectivity within the Default-Mode Network (DMN). It remains unclear whether (I) increased DMN-connectivity persists during MDD-remission, and (II) whether sad mood-induction differentially affects DMN-connectivity in remitted-MDD vs controls. Moreover, DMN-connectivity studies in remitted-MDD were previously confounded by antidepressant-use. Sixty-two MDD-patients remitted from ≥2 episodes, psychotropic-medication free, and 41 controls, participated in two 5-min neutral and sad mood-inductions by autobiographical-recall and neutral/sad music, each followed by 8-min resting-state fMRI-scanning. We identified DMN-components using Independent Component Analysis and entered subject- and sessions-specific components into a repeated measures analysis of variance. Connectivity-differences were extracted and correlated with baseline cognitive reactivity and rumination as measures of vulnerability for recurrence. After sad vs neutral mood-induction, controls, but not remitted-MDD, showed an increase in connectivity between the posterior-DMN and a cluster consisting mostly of the hippocampus (P = 0.006). Less posterior-DMN-hippocampal connectivity was associated with higher cognitive reactivity (r = −0.21, P = 0.046) and rumination (r = −0.27, P = 0.017). After recalling sad autobiographical-memories, aberrant posterior-DMN-hippocampal connectivity, associated with cognitive reactivity and rumination, remains a neural vulnerability in MDD-remission.
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Affiliation(s)
- Caroline A Figueroa
- Department of Psychiatry, Program for Mood Disorders, Academic Medical Center, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands.,Brain imaging Center, Academic Medical Center, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands.,Warneford Hospital, Department of Psychiatry, University of Oxford, OX3 7JX, Oxford, United Kingdom
| | - Roel J T Mocking
- Department of Psychiatry, Program for Mood Disorders, Academic Medical Center, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands.,Brain imaging Center, Academic Medical Center, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands
| | - Guido van Wingen
- Department of Psychiatry, Program for Mood Disorders, Academic Medical Center, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands.,Brain imaging Center, Academic Medical Center, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands
| | - Suzanne Martens
- Department of Psychiatry, Program for Mood Disorders, Academic Medical Center, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands
| | - Henricus G Ruhé
- Department of Psychiatry, Program for Mood Disorders, Academic Medical Center, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands.,Brain imaging Center, Academic Medical Center, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands.,Warneford Hospital, Department of Psychiatry, University of Oxford, OX3 7JX, Oxford, United Kingdom.,Radboud University Medical Center, Department of Psychiatry, 6525 GC, Nijmegen, The Netherlands
| | - Aart H Schene
- Department of Psychiatry, Program for Mood Disorders, Academic Medical Center, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands.,Radboud University Medical Center, Department of Psychiatry, 6525 GC, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behavior, Radboud University, 6525 GC, Nijmegen, The Netherlands
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40
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Ismaylova E, Di Sante J, Gouin JP, Pomares FB, Vitaro F, Tremblay RE, Booij L. Associations Between Daily Mood States and Brain Gray Matter Volume, Resting-State Functional Connectivity and Task-Based Activity in Healthy Adults. Front Hum Neurosci 2018; 12:168. [PMID: 29765312 PMCID: PMC5938366 DOI: 10.3389/fnhum.2018.00168] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Accepted: 04/11/2018] [Indexed: 11/13/2022] Open
Abstract
Numerous studies have shown differences in the functioning in the areas of the frontal-limbic circuitry between depressed patients and controls. However, current knowledge on frontal-limbic neural substrates of individual differences in mood states in everyday life in healthy individuals is scarce. The present study investigates anatomical, resting-state, and functional neural correlates of daily mood states in healthy individuals. We expected to observe associations between mood and the frontal-limbic circuitry and the default-mode network (DMN). A total of 42 healthy adults (19 men, 23 women; 34 ± 1.2 years) regularly followed for behavior and psychosocial functioning since age of 6, underwent a functional magnetic resonance imaging scan, and completed a daily diary of mood states and related cognitions for 5 consecutive days. Results showed that individuals with smaller left hippocampal gray matter volumes experienced more negative mood and rumination in their daily life. Greater resting-state functional connectivity (rsFC) within the DMN, namely between posterior cingulate cortex (PCC) and medial prefrontal cortex regions as well as between PCC and precuneus, was associated with both greater negative and positive mood states in daily life. These rsFC results could be indicative of the role of the DMN regional functioning in emotional arousal, irrespective of valence. Lastly, greater daily positive mood was associated with greater activation in response to negative emotional stimuli in the precentral gyri, previously linked to emotional interference on cognitive control. Altogether, present findings might reflect neural mechanisms underlying daily affect and cognition among healthy individuals.
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Affiliation(s)
- Elmira Ismaylova
- Research Center, Sainte-Justine hospital, Montreal, QC, Canada.,Department of Psychiatry, University of Montreal, Montreal, QC, Canada
| | - Jessica Di Sante
- Research Center, Sainte-Justine hospital, Montreal, QC, Canada.,Department of Psychiatry, University of Montreal, Montreal, QC, Canada.,Department of Psychology, Concordia University, Montreal, QC, Canada
| | | | - Florence B Pomares
- Research Center, Sainte-Justine hospital, Montreal, QC, Canada.,Department of Psychology, Concordia University, Montreal, QC, Canada
| | - Frank Vitaro
- Research Center, Sainte-Justine hospital, Montreal, QC, Canada.,School of Psychoeducation, University of Montreal, Montreal, QC, Canada
| | - Richard E Tremblay
- Research Center, Sainte-Justine hospital, Montreal, QC, Canada.,Department of Psychology and Pediatrics, University of Montreal, Montreal, QC, Canada.,School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Linda Booij
- Research Center, Sainte-Justine hospital, Montreal, QC, Canada.,Department of Psychiatry, University of Montreal, Montreal, QC, Canada.,Department of Psychology, Concordia University, Montreal, QC, Canada
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41
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Cheng W, Rolls ET, Qiu J, Xie X, Wei D, Huang CC, Yang AC, Tsai SJ, Li Q, Meng J, Lin CP, Xie P, Feng J. Increased functional connectivity of the posterior cingulate cortex with the lateral orbitofrontal cortex in depression. Transl Psychiatry 2018; 8:90. [PMID: 29691380 PMCID: PMC5915597 DOI: 10.1038/s41398-018-0139-1] [Citation(s) in RCA: 77] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Revised: 01/19/2018] [Accepted: 02/19/2018] [Indexed: 01/27/2023] Open
Abstract
To analyze the functioning of the posterior cingulate cortex (PCC) in depression, we performed the first fully voxel-level resting state functional-connectivity neuroimaging analysis of depression of the PCC, with 336 patients with major depressive disorder and 350 controls. Voxels in the PCC had significantly increased functional connectivity with the lateral orbitofrontal cortex, a region implicated in non-reward and which is thereby implicated in depression. In patients receiving medication, the functional connectivity between the lateral orbitofrontal cortex and PCC was decreased back towards that in the controls. In the 350 controls, it was shown that the PCC has high functional connectivity with the parahippocampal regions which are involved in memory. The findings support the theory that the non-reward system in the lateral orbitofrontal cortex has increased effects on memory systems, which contribute to the rumination about sad memories and events in depression. These new findings provide evidence that a key target to ameliorate depression is the lateral orbitofrontal cortex.
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Affiliation(s)
- Wei Cheng
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, 200433, China
| | - Edmund T Rolls
- Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK.
- Oxford Centre for Computational Neuroscience, Oxford, UK.
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China
- Department of Psychology, Southwest University, Chongqing, China
| | - Xiongfei Xie
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Dongtao Wei
- Department of Psychology, Southwest University, Chongqing, China
| | - Chu-Chung Huang
- Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan
| | - Albert C Yang
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Shih-Jen Tsai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Qi Li
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jie Meng
- Department of Psychology, Southwest University, Chongqing, China
| | - Ching-Po Lin
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, 200433, China.
- Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan.
- Brain Research Center, National Yang-Ming University, Taipei, Taiwan.
| | - Peng Xie
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
- Institute of Neuroscience, Chongqing Medical University, Chongqing, China.
- Chongqing Key Laboratory of Neurobiology, Chongqing, China.
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, 200433, China.
- Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK.
- School of Mathematical Sciences, School of Life Science and the Collaborative Innovation Center for Brain Science, Fudan University, Shanghai, 200433, China.
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42
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Guhn A, Sterzer P, Haack FH, Köhler S. Affective and cognitive reactivity to mood induction in chronic depression. J Affect Disord 2018; 229:275-281. [PMID: 29329060 DOI: 10.1016/j.jad.2017.12.090] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Revised: 11/27/2017] [Accepted: 12/31/2017] [Indexed: 11/24/2022]
Abstract
BACKGROUND Chronic depression (CD) is strongly associated with childhood maltreatment, which has been proposed to lead to inefficient coping styles that are characterized by abnormal affective responsiveness and dysfunctional cognitive attitudes. However, while this notion forms an important basis for psychotherapeutic strategies in the treatment of CD, there is still little direct empirical evidence for a role of altered affective and cognitive reactivity in CD. The present study therefore experimentally investigated affective and cognitive reactivity to two forms of negative mood induction in CD patients versus a healthy control sample (HC). METHODS For the general mood induction procedure, a combination of sad pictures and sad music was used, while for individualized mood induction, negative mood was induced by individualized scripts with autobiographical content. Both experiments included n = 15 CD patients versus n = 15 HC, respectively. Interactions between affective or cognitive reactivity and group were analyzed by repeated measurements ANOVAs. RESULTS General mood induction neither revealed affective nor cognitive reactivity in the patient group while the control group reported the expected decrease of positive affect [interaction (IA) affective reactivity x group: p = .011, cognitive reactivity x group: n.s.]. In contrast, individualized mood induction specifically increased affective reactivity (IA: p = .037) as well as the amount of dysfunctional cognitions in patients versus controls (IA: p = .014). LIMITATIONS The experiments were not balanced in a crossover design, causal conclusions are thus limited. Additionally, the differences to non-chronic forms of depression are still outstanding. CONCLUSIONS The results suggest that in patients with CD, specific emotional activation through autobiographical memories is a key factor in dysfunctional coping styles. Psychotherapeutic interventions aimed at modifying affective and cognitive reactivity are thus of high relevance in the treatment of CD.
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Affiliation(s)
- Anne Guhn
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy at the Charité Campus Mitte, Charitéplatz 1, 10117 Berlin, Germany.
| | - Philipp Sterzer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy at the Charité Campus Mitte, Charitéplatz 1, 10117 Berlin, Germany
| | - Friderike H Haack
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy at the Charité Campus Mitte, Charitéplatz 1, 10117 Berlin, Germany
| | - Stephan Köhler
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy at the Charité Campus Mitte, Charitéplatz 1, 10117 Berlin, Germany
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43
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Pike NA, Roy B, Gupta R, Singh S, Woo MA, Halnon NJ, Lewis AB, Kumar R. Brain abnormalities in cognition, anxiety, and depression regulatory regions in adolescents with single ventricle heart disease. J Neurosci Res 2018; 96:1104-1118. [PMID: 29315714 DOI: 10.1002/jnr.24215] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Revised: 10/19/2017] [Accepted: 12/21/2017] [Indexed: 12/17/2022]
Abstract
BACKGROUND Single ventricle heart disease (SVHD) adolescents show cognitive impairments and anxiety and depressive symptoms, indicating the possibility of brain injury in regions that control these functions. However, brain tissue integrity in cognition, anxiety, and depression regulatory sites in SVHD remains unclear. We examined brain tissue changes in SVHD compared to controls using T2-relaxometry procedures, which measure free water content and show tissue injury. METHODS Proton-density and T2-weighted images, using a 3.0-Tesla MRI, as well as anxiety (Beck anxiety inventory [BAI]), depressive symptoms (patient health questionnaire-9 [PHQ-9]), and cognition (wide range assessment of memory and learning 2 [WRAML2] and Montreal cognitive assessment [MoCA]) data were collected from 20 SVHD (age: 15.8 ± 1.1 years, male/female: 11/9) and 36 controls (age: 16.0 ± 1.1 years, male/female: 19/17). Whole-brain T2-relaxation maps were calculated, normalized to a common space, smoothed, and compared between groups and sexes (analysis of covariance; covariates: age, sex; p < 0.001). RESULTS SVHD subjects showed significantly increased BAI and PHQ-9 and reduced MoCA and WRAML2 scores over controls. Several brain regions in SVHD showed increased T2-relaxation values (chronic injury), including the cingulate, and insula, hippocampus/para-hippocampal gyrus, thalamus, hypothalamus, amygdala, frontal white matter, corpus callosum, brainstem, and cerebellar areas. Decreased T2-relaxation values (acute injury) emerged in a few regions, including the prefrontal and cerebellar cortices in SVHD over controls. In addition, male SVHD showed more brain changes over female SVHD. CONCLUSIONS Adolescents with SVHD showed significant brain injury with variable male-female differences in areas that control cognition, anxiety, and depression, which may contribute to functional deficits found in the condition.
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Affiliation(s)
- Nancy A Pike
- UCLA School of Nursing, University of California, Los Angeles, CA, 90095, USA
| | - Bhaswati Roy
- UCLA School of Nursing, University of California, Los Angeles, CA, 90095, USA
| | - Ritika Gupta
- Department of Anesthesiology, University of California, Los Angeles, CA, USA
| | - Sadhana Singh
- Department of Anesthesiology, University of California, Los Angeles, CA, USA
| | - Mary A Woo
- UCLA School of Nursing, University of California, Los Angeles, CA, 90095, USA
| | - Nancy J Halnon
- Division of Pediatric Cardiology, University of California, Los Angeles, CA, 90095, USA
| | - Alan B Lewis
- Division of Pediatric Cardiology, Children's Hospital Los Angeles, CA, 90027, USA
| | - Rajesh Kumar
- Department of Anesthesiology, University of California, Los Angeles, CA, USA
- Department of Radiological Sciences, University of California, Los Angeles, CA, USA
- Department of Bioengineering, University of California, Los Angeles, CA, USA
- Brain Research Institute, University of California, Los Angeles, CA, USA
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44
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Kuehner C, Welz A, Reinhard I, Alpers GW. Lab meets real life: A laboratory assessment of spontaneous thought and its ecological validity. PLoS One 2017; 12:e0184488. [PMID: 28910351 PMCID: PMC5598976 DOI: 10.1371/journal.pone.0184488] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2017] [Accepted: 08/24/2017] [Indexed: 01/28/2023] Open
Abstract
People's minds frequently wander towards self-generated thoughts, which are unrelated to external stimuli or demands. These phenomena, referred to as "spontaneous thought" (ST) and "mind wandering" (MW), have previously been linked with both costs and benefits. Current assessments of ST and MW have predominantly been conducted in the laboratory, whereas studies on the ecological validity of such lab-related constructs and their interrelations are rare. The current study examined the stability of ST dimensions assessed in the lab and their predictive value with respect to MW, repetitive negative thought (uncontrollable rumination, RUM), and affect in daily life. Forty-three university students were assessed with the Amsterdam Resting State Questionnaire (2nd version) to assess ten ST dimensions during the resting state in two laboratory sessions, which were separated by five days of electronic ambulatory assessment (AA). During AA, individuals indicated the intensity of MW and RUM, as well as of positive and negative affect in daily life ten times a day. ST dimensions measured in the lab were moderately stable across one week. Five out of ten ST lab dimensions were predicted by mental health-related symptoms or by dispositional cognitive traits. Hierarchical linear models revealed that a number of ST lab dimensions predicted cognitive and affective states in daily life. Mediation analyses showed that RUM, but not MW per se, accounted for the relationship between specific ST lab dimensions and mood in daily life. By using a simple resting state task, we could demonstrate that a number of lab dimensions of spontaneous thought are moderately stable, are predicted by mental health symptoms and cognitive traits, and show plausible associations with categories of self-generated thought and mood in daily life.
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Affiliation(s)
- Christine Kuehner
- Research Group Longitudinal and Intervention Research, Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- * E-mail:
| | - Annett Welz
- Research Group Longitudinal and Intervention Research, Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Iris Reinhard
- Department of Biostatistics, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Georg W. Alpers
- Department of Psychology, School of Social Sciences, University of Mannheim, and Otto-Selz-Institute, University of Mannheim, Mannheim, Germany
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Whitton AE, Deccy S, Ironside ML, Kumar P, Beltzer M, Pizzagalli DA. Electroencephalography Source Functional Connectivity Reveals Abnormal High-Frequency Communication Among Large-Scale Functional Networks in Depression. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2017; 3:50-58. [PMID: 29397079 DOI: 10.1016/j.bpsc.2017.07.001] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Revised: 06/13/2017] [Accepted: 07/03/2017] [Indexed: 12/29/2022]
Abstract
BACKGROUND Functional magnetic resonance imaging studies of resting-state functional connectivity have shown that major depressive disorder (MDD) is characterized by increased connectivity within the default mode network (DMN) and between the DMN and the frontoparietal network (FPN). However, much remains unknown about abnormalities in higher frequency (>1 Hz) synchronization. Findings of abnormal synchronization in specific frequencies would contribute to a better understanding of the potential neurophysiological origins of disrupted functional connectivity in MDD. METHODS We used the high temporal resolution of electroencephalography to compare the spectral properties of resting-state functional connectivity in individuals with MDD (n = 65) with healthy control subjects (n = 79) and examined the extent to which connectivity disturbances were evident in a third sample of individuals in remission from depression (n = 30). Exact low resolution electromagnetic tomography was used to compute intracortical activity from regions within the DMN and FPN, and functional connectivity was computed using lagged phase synchronization. RESULTS Compared to control subjects, the MDD group showed greater within-DMN beta 2 band (18.5-21 Hz) connectivity and greater beta 1 band (12.5-18 Hz) connectivity between the DMN and FPN. This hyperconnectivity was not observed in the remitted MDD group. However, greater beta 1 band DMN-FPN connectivity was associated with more frequent depressive episodes since first depression onset, even after controlling for current symptom severity. CONCLUSIONS These findings extend our understanding of the neurophysiological basis of abnormal resting-state functional connectivity in MDD and indicate that elevations in high-frequency DMN-FPN connectivity may be a neural marker linked to a more recurrent illness course.
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Affiliation(s)
- Alexis E Whitton
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Stephanie Deccy
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts
| | - Manon L Ironside
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts
| | - Poornima Kumar
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Miranda Beltzer
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts
| | - Diego A Pizzagalli
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.
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Timm C, Ubl B, Zamoscik V, Ebner-Priemer U, Reinhard I, Huffziger S, Kirsch P, Kuehner C. Cognitive and affective trait and state factors influencing the long-term symptom course in remitted depressed patients. PLoS One 2017; 12:e0178759. [PMID: 28575049 PMCID: PMC5456349 DOI: 10.1371/journal.pone.0178759] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Accepted: 05/18/2017] [Indexed: 12/16/2022] Open
Abstract
Background Major depressive disorder (MDD) is characterized by a high risk for relapses and chronic developments. Clinical characteristics such as residual symptoms have been shown to negatively affect the long-term course of MDD. However, it is unclear so far how trait repetitive negative thinking (RNT) as well as cognitive and affective momentary states, the latter experienced during daily-life, affect the long-term course of MDD. Method We followed up 57 remitted depressed (rMDD) individuals six (T2) and 36 (T3) months after baseline. Clinical outcomes were time to relapse, time spent with significant symptoms as a marker of chronicity, and levels of depressive symptoms at T2 and T3. Predictors assessed at baseline included residual symptoms and trait RNT. Furthermore, momentary daily life affect and momentary rumination, and their variation over the day were assessed at baseline using ambulatory assessment (AA). Results In multiple models, residual symptoms and instability of daily-life affect at baseline independently predicted a faster time to relapse, while chronicity was significantly predicted by trait RNT. Multilevel models revealed that depressive symptom levels during follow-up were predicted by baseline residual symptom levels and by instability of daily-life rumination. Both instability features were linked to a higher number of anamnestic MDD episodes. Conclusions Our findings indicate that trait RNT, but also affective and cognitive processes during daily life impact the longer-term course of MDD. Future longitudinal research on the role of respective AA-phenotypes as potential transdiagnostic course-modifiers is warranted.
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Affiliation(s)
- Christina Timm
- Research Group Longitudinal and Intervention Research, Department of Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Bettina Ubl
- Research Group Longitudinal and Intervention Research, Department of Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Vera Zamoscik
- Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Ulrich Ebner-Priemer
- Karlsruhe Institute of Technology, Institut für Sport und Sportwissenschaften, University of Karlsruhe, Karlsruhe, Germany.,Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Iris Reinhard
- Department of Biostatistics, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Silke Huffziger
- Research Group Longitudinal and Intervention Research, Department of Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.,Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Peter Kirsch
- Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Christine Kuehner
- Research Group Longitudinal and Intervention Research, Department of Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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47
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Becker A, Ehret AM, Kirsch P. From the neurobiological basis of comorbid alcohol dependence and depression to psychological treatment strategies: study protocol of a randomized controlled trial. BMC Psychiatry 2017; 17:153. [PMID: 28454522 PMCID: PMC5410069 DOI: 10.1186/s12888-017-1324-0] [Citation(s) in RCA: 14] [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: 03/03/2017] [Accepted: 04/24/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Alcohol use disorder and depression occur commonly in the community. Even though this high-prevalence comorbidity is associated with poorer posttreatment outcomes and greater utilization of costly treatment services, existing treatment trials often exclude patients with comorbid depressive and alcohol use disorders. Past research suggests that symptoms such as craving and anhedonia might be associated with alterations within the reward circuit, while emotion regulation deficits are related to disruptions within the default mode network. The aim of this clinical neuroimaging study is to transfer previous research about the reward circuit and default mode network underlying alcohol use disorder and depression to achieve a better understanding of neural signatures characterizing their comorbidity. In addition, the neurobiological results will be used to test whether two psychotherapeutic intervention programs, mindfulness-based training and behavioral activation training, are able to positively influence the identified pathomechanisms. METHODS By means of functional magnetic resonance imaging (fMRI), 60 comorbid alcohol dependent and depressed patients are compared to 30 patients with depression only, 30 patients with alcohol use disorder only and 30 healthy control participants. Comorbid patients are randomized to either receive a behavioral activation or mindfulness based training and asked to participate in a second fMRI session and 3 month follow-up assessment. Thereby, we plan to explore whether these brief group psychotherapeutic intervention programs are able to positively influence the identified neurobiological pathomechanisms. The primary outcomes are reward and default mode network activity and connectivity evoked by paradigms measuring different facets of reward and emotion processing. Secondary outcome measures include craving and depression scores, as well as relapse rates. Predictors include participants' characteristics, personality traits and indicators of mental health. DISCUSSION The objective of the project is to identify common and/or distinct neural signatures underlying the comorbidity of alcohol dependence and depression. If the neurobiological understanding of alcohol addiction and depression is improved, this could potentially serve as a key predictor of treatment response to specific types of behavioral or mindfulness therapies hypothesized to alter reward and resting state systems. TRIAL REGISTRATION German Clinical Trial Register DRKS00010249 . The trial was registered January 23th 2017.
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Affiliation(s)
- Alena Becker
- Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany.
| | - Anna M. Ehret
- 0000 0001 2190 4373grid.7700.0Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Peter Kirsch
- 0000 0001 2190 4373grid.7700.0Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
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Renner F, Siep N, Arntz A, van de Ven V, Peeters FPML, Quaedflieg CWEM, Huibers MJH. Negative mood-induction modulates default mode network resting-state functional connectivity in chronic depression. J Affect Disord 2017; 208:590-596. [PMID: 27810271 DOI: 10.1016/j.jad.2016.10.022] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Revised: 09/06/2016] [Accepted: 10/21/2016] [Indexed: 11/26/2022]
Abstract
BACKGROUND The aim of this study was to investigate the effects of sad mood on default mode network (DMN) resting-state connectivity in persons with chronic major depressive disorder (cMDD). METHODS Participants with a diagnosis of cMDD (n=18) and age, gender and education level matched participants without a diagnosis of depression (n=18) underwent a resting-state fMRI scan, before and after a sad mood induction. The posterior cingulate cortex (PCC) was used as a seed for DMN functional connectivity across the two resting-state measurements. RESULTS Mood ratings decreased in both groups following the sad mood induction procedure. PCC connectivity with the parahippocampal gyrus, the superior temporal gyrus and the anterior inferior temporal cortex increased in cMDD patients following the sad mood induction, whereas it decreased in non-patient controls. PCC connectivity with the anterior prefrontal cortex and the precuneus decreased in cMDD patients following the sad mood induction, whereas it increased in non-patient controls. LIMITATIONS Limitations of this study include the relatively small sample size and lack of a clinical control group. CONCLUSIONS These findings are in line with neurobiological models of depression suggesting that the observed changes in DMN connectivity following the sad mood induction might reflect a failure to exert cognitive control over negative memory retrieval in patients with cMDD.
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Affiliation(s)
- Fritz Renner
- MRC Cognition and Brain Sciences Unit, Cambridge, United Kingdom; Department of Clinical Psychological Science, Maastricht University, The Netherlands.
| | - Nicolette Siep
- Department of Clinical Psychological Science, Maastricht University, The Netherlands
| | - Arnoud Arntz
- Department of Clinical Psychology, University of Amsterdam, The Netherlands
| | - Vincent van de Ven
- Department of Cognitive Neuroscience, Maastricht University, The Netherlands
| | - Frenk P M L Peeters
- Department of Psychiatry and Neuropsychology, University Hospital Maastricht, The Netherlands. School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life sciences, Maastricht University, The Netherlands
| | - Conny W E M Quaedflieg
- Department of Clinical Psychological Science, Maastricht University, The Netherlands; Department of Cognitive Psychology, Institute for Psychology, University of Hamburg, Germany
| | - Marcus J H Huibers
- Department of Clinical Psychology, VU University Amsterdam, The Netherlands
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Zhang J, Guo Z, Liu X, Jia X, Li J, Li Y, Lv D, Chen W. Abnormal functional connectivity of the posterior cingulate cortex is associated with depressive symptoms in patients with Alzheimer's disease. Neuropsychiatr Dis Treat 2017; 13:2589-2598. [PMID: 29066900 PMCID: PMC5644530 DOI: 10.2147/ndt.s146077] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Depressive symptoms are significant and very common psychiatric complications in patients with Alzheimer's disease (AD), which can aggravate the decline in social function. However, changes in the functional connectivity (FC) of the brain in AD patients with depressive symptoms (D-AD) remain unclear. OBJECTIVE To investigate whether any differences exist in the FC of the posterior cingulate cortex (PCC) between D-AD patients and non-depressed AD patients (nD-AD). MATERIALS AND METHODS We recruited 15 D-AD patients and 17 age-, sex-, educational level-, and Mini-Mental State Examination (MMSE)-matched nD-AD patients to undergo tests using the Neuropsychiatric Inventory, Hamilton Depression Rating Scale, and 3.0T resting-state functional magnetic resonance imaging. Bilateral PCC were selected as the regions of interest and between-group differences in the PCC FC network were assessed using Student's t-test. RESULTS Compared with the nD-AD group, D-AD patients showed increased PCC FC in the right amygdala, right parahippocampus, right superior temporal pole, right middle temporal lobe, right middle temporal pole, and right hippocampus (AlphaSim correction; P<0.05). In the nD-AD group, MMSE scores were positively correlated with PCC FC in the right superior temporal pole and right hippocampus (false discovery rate corrected; P<0.05). CONCLUSION Differences were detected in PCC FC between nD-AD and D-AD patients, which may be related to depressive symptoms. Our study provides a significant enhancement to our understanding of the functional mechanisms underlying D-AD.
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Affiliation(s)
- Jiangtao Zhang
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine and the Collaborative Innovation Center for Brain Science, Hangzhou, Zhejiang, China.,Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Zhongwei Guo
- Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Xiaozheng Liu
- China-USA Neuroimaging Research Institute & Department of Radiology, the Second Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Xize Jia
- Center for Cognitive Brain Disorders & Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, China
| | - Jiapeng Li
- Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Yaoyao Li
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine and the Collaborative Innovation Center for Brain Science, Hangzhou, Zhejiang, China.,Key Laboratory of Medical Neurobiology of Chinese Ministry of Health, Hangzhou, Zhejiang, China
| | - Danmei Lv
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine and the Collaborative Innovation Center for Brain Science, Hangzhou, Zhejiang, China.,Key Laboratory of Medical Neurobiology of Chinese Ministry of Health, Hangzhou, Zhejiang, China
| | - Wei Chen
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine and the Collaborative Innovation Center for Brain Science, Hangzhou, Zhejiang, China.,Key Laboratory of Medical Neurobiology of Chinese Ministry of Health, Hangzhou, Zhejiang, China
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50
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Marchetti I, Koster EH, Klinger E, Alloy LB. Spontaneous Thought and Vulnerability to Mood Disorders: The Dark Side of the Wandering Mind. Clin Psychol Sci 2016; 4:835-857. [PMID: 28785510 PMCID: PMC5544025 DOI: 10.1177/2167702615622383] [Citation(s) in RCA: 82] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
There is increasing interest in spontaneous thought, namely task-unrelated or rest-related mental activity. Spontaneous thought is an umbrella term for processes like mindwandering, involuntary autobiographical memory, and daydreaming, with evidence elucidating adaptive and maladaptive consequences. In this theoretical framework, we propose that, apart from its positive functions, spontaneous thought is a precursor for cognitive vulnerability in individuals who are at-risk for mood disorders. Importantly, spontaneous thought mostly focuses on unattained goals and evaluates the discrepancy between current and desired status (Klinger, 1971, 2013a). In individuals who stably (i.e., trait negative affectivity) or transitorily (i.e., stress) experience negative emotions in reaction to goal-discrepancy, spontaneous thought fosters major cognitive vulnerabilities (e.g., rumination, hopelessness, low self-esteem, and cognitive reactivity) which, in turn, enhance depression. Furthermore, we also highlight preliminary links between spontaneous thought and bipolar disorder. The evidence for this framework is reviewed and we discuss theoretical and clinical implications of our proposal.
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Affiliation(s)
- Igor Marchetti
- Ghent University, Department of Experimental-Clinical and Health Psychology, Henri Dunantlaan 2, Ghent, B-9000, Belgium
| | - Ernst H.W. Koster
- Ghent University, Department of Experimental-Clinical and Health Psychology, Henri Dunantlaan 2, Ghent, B-9000, Belgium
| | - Eric Klinger
- University of Minnesota, Morris, Psychology Discipline, Division of Social Sciences, Morris, MN 56267, USA
| | - Lauren B. Alloy
- Temple University, Department of Psychology, Weiss Hall, 1701 N. 13th Street, Philadelphia, PA 19122, USA
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