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Sheng F, Wang Y, Li R, Li X, Chen X, Zhang Z, Liu R, Zhang L, Zhou Y, Wang G. Altered effective connectivity among face-processing systems in major depressive disorder. J Psychiatry Neurosci 2024; 49:E145-E156. [PMID: 38692692 PMCID: PMC11068425 DOI: 10.1503/jpn.230123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 01/11/2024] [Accepted: 02/24/2024] [Indexed: 05/03/2024] Open
Abstract
BACKGROUND Neuroimaging studies have revealed abnormal functional interaction during the processing of emotional faces in patients with major depressive disorder (MDD), thereby enhancing our comprehension of the pathophysiology of MDD. However, it is unclear whether there is abnormal directional interaction among face-processing systems in patients with MDD. METHODS A group of patients with MDD and a healthy control group underwent a face-matching task during functional magnetic resonance imaging. Dynamic causal modelling (DCM) analysis was used to investigate effective connectivity between 7 regions in the face-processing systems. We used a Parametric Empirical Bayes model to compare effective connectivity between patients with MDD and controls. RESULTS We included 48 patients and 44 healthy controls in our analyses. Both groups showed higher accuracy and faster reaction time in the shape-matching condition than in the face-matching condition. However, no significant behavioural or brain activation differences were found between the groups. Using DCM, we found that, compared with controls, patients with MDD showed decreased self-connection in the right dorsolateral prefrontal cortex (DLPFC), amygdala, and fusiform face area (FFA) across task conditions; increased intrinsic connectivity from the right amygdala to the bilateral DLPFC, right FFA, and left amygdala, suggesting an increased intrinsic connectivity centred in the amygdala in the right side of the face-processing systems; both increased and decreased positive intrinsic connectivity in the left side of the face-processing systems; and comparable task modulation effect on connectivity. LIMITATIONS Our study did not include longitudinal neuroimaging data, and there was limited region of interest selection in the DCM analysis. CONCLUSION Our findings provide evidence for a complex pattern of alterations in the face-processing systems in patients with MDD, potentially involving the right amygdala to a greater extent. The results confirm some previous findings and highlight the crucial role of the regions on both sides of face-processing systems in the pathophysiology of MDD.
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Affiliation(s)
- Fangrui Sheng
- From the Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China (Sheng, Wang, R. Li, X. Li, Chen, Z. Zhang, Liu, L. Zhang, Zhou, Wang); the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China (L. Zhang, Wang); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China (Zhou); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, China (Zhou)
| | - Yun Wang
- From the Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China (Sheng, Wang, R. Li, X. Li, Chen, Z. Zhang, Liu, L. Zhang, Zhou, Wang); the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China (L. Zhang, Wang); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China (Zhou); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, China (Zhou)
| | - Ruinan Li
- From the Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China (Sheng, Wang, R. Li, X. Li, Chen, Z. Zhang, Liu, L. Zhang, Zhou, Wang); the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China (L. Zhang, Wang); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China (Zhou); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, China (Zhou)
| | - Xiaoya Li
- From the Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China (Sheng, Wang, R. Li, X. Li, Chen, Z. Zhang, Liu, L. Zhang, Zhou, Wang); the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China (L. Zhang, Wang); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China (Zhou); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, China (Zhou)
| | - Xiongying Chen
- From the Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China (Sheng, Wang, R. Li, X. Li, Chen, Z. Zhang, Liu, L. Zhang, Zhou, Wang); the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China (L. Zhang, Wang); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China (Zhou); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, China (Zhou)
| | - Zhifang Zhang
- From the Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China (Sheng, Wang, R. Li, X. Li, Chen, Z. Zhang, Liu, L. Zhang, Zhou, Wang); the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China (L. Zhang, Wang); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China (Zhou); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, China (Zhou)
| | - Rui Liu
- From the Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China (Sheng, Wang, R. Li, X. Li, Chen, Z. Zhang, Liu, L. Zhang, Zhou, Wang); the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China (L. Zhang, Wang); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China (Zhou); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, China (Zhou)
| | - Ling Zhang
- From the Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China (Sheng, Wang, R. Li, X. Li, Chen, Z. Zhang, Liu, L. Zhang, Zhou, Wang); the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China (L. Zhang, Wang); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China (Zhou); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, China (Zhou)
| | - Yuan Zhou
- From the Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China (Sheng, Wang, R. Li, X. Li, Chen, Z. Zhang, Liu, L. Zhang, Zhou, Wang); the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China (L. Zhang, Wang); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China (Zhou); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, China (Zhou)
| | - Gang Wang
- From the Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China (Sheng, Wang, R. Li, X. Li, Chen, Z. Zhang, Liu, L. Zhang, Zhou, Wang); the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China (L. Zhang, Wang); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China (Zhou); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, China (Zhou)
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Jamieson AJ, Leonards CA, Davey CG, Harrison BJ. Major depressive disorder associated alterations in the effective connectivity of the face processing network: a systematic review. Transl Psychiatry 2024; 14:62. [PMID: 38272868 PMCID: PMC10810788 DOI: 10.1038/s41398-024-02734-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 12/19/2023] [Accepted: 01/02/2024] [Indexed: 01/27/2024] Open
Abstract
Major depressive disorder (MDD) is marked by altered processing of emotional stimuli, including facial expressions. Recent neuroimaging research has attempted to investigate how these stimuli alter the directional interactions between brain regions in those with MDD; however, methodological heterogeneity has made identifying consistent effects difficult. To address this, we systematically examined studies investigating MDD-associated differences present in effective connectivity during the processing of emotional facial expressions. We searched five databases: PsycINFO, EMBASE, PubMed, Scopus, and Web of Science, using a preregistered protocol (registration number: CRD42021271586). Of the 510 unique studies screened, 17 met our inclusion criteria. These studies identified that compared with healthy controls, participants with MDD demonstrated (1) reduced connectivity from the dorsolateral prefrontal cortex to the amygdala during the processing of negatively valenced expressions, and (2) increased inhibitory connectivity from the ventromedial prefrontal cortex to amygdala during the processing of happy facial expressions. Most studies investigating the amygdala and anterior cingulate cortex noted differences in their connectivity; however, the precise nature of these differences was inconsistent between studies. As such, commonalities observed across neuroimaging modalities warrant careful investigation to determine the specificity of these effects to particular subregions and emotional expressions. Future research examining longitudinal connectivity changes associated with treatment response may provide important insights into mechanisms underpinning therapeutic interventions, thus enabling more targeted treatment strategies.
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Affiliation(s)
- Alec J Jamieson
- Department of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia.
| | - Christine A Leonards
- Department of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia
| | - Christopher G Davey
- Department of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia
| | - Ben J Harrison
- Department of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia.
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3
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Schott BH, Soch J, Kizilirmak JM, Schütze H, Assmann A, Maass A, Ziegler G, Sauvage M, Richter A. Inhibitory temporo-parietal effective connectivity is associated with explicit memory performance in older adults. iScience 2023; 26:107765. [PMID: 37744028 PMCID: PMC10514462 DOI: 10.1016/j.isci.2023.107765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 06/30/2023] [Accepted: 08/25/2023] [Indexed: 09/26/2023] Open
Abstract
Successful explicit memory encoding is associated with inferior temporal activations and medial parietal deactivations, which are attenuated in aging. Here we used dynamic causal modeling (DCM) of functional magnetic resonance imaging data to elucidate effective connectivity patterns between hippocampus, parahippocampal place area (PPA), and precuneus during encoding of novel visual scenes. In 117 young adults, DCM revealed pronounced activating input from the PPA to the hippocampus and inhibitory connectivity from the PPA to the precuneus during novelty processing, with both being enhanced during successful encoding. This pattern could be replicated in two cohorts (N = 141 and 148) of young and older adults. In both cohorts, older adults selectively exhibited attenuated inhibitory PPA-precuneus connectivity, which correlated negatively with memory performance. Our results provide insight into the network dynamics underlying explicit memory encoding and suggest that age-related differences in memory-related network activity are, at least partly, attributable to altered temporo-parietal neocortical connectivity.
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Affiliation(s)
- Björn H. Schott
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Leibniz Institute for Neurobiology (LIN), Magdeburg, Germany
- Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Joram Soch
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Bernstein Center for Computational Neuroscience (BCCN), Berlin, Germany
| | - Jasmin M. Kizilirmak
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
- Neurodidactics and NeuroLab, Institute for Psychology, University of Hildesheim, Hildesheim, Germany
| | - Hartmut Schütze
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Otto von Guericke University, Medical Faculty, Magdeburg, Germany
| | - Anne Assmann
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Otto von Guericke University, Medical Faculty, Magdeburg, Germany
| | - Anne Maass
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Gabriel Ziegler
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Otto von Guericke University, Medical Faculty, Magdeburg, Germany
| | | | - Anni Richter
- Leibniz Institute for Neurobiology (LIN), Magdeburg, Germany
- German Center for Mental Health (DZPG), Magdeburg, Germany
- Center for Intervention and Research on adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C) Jena-Magdeburg-Halle, Magdeburg, Germany
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4
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Dai P, Zhou X, Xiong T, Ou Y, Chen Z, Zou B, Li W, Huang Z. Altered Effective Connectivity Among the Cerebellum and Cerebrum in Patients with Major Depressive Disorder Using Multisite Resting-State fMRI. CEREBELLUM (LONDON, ENGLAND) 2023; 22:781-789. [PMID: 35933493 DOI: 10.1007/s12311-022-01454-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/30/2022] [Indexed: 06/15/2023]
Abstract
Major depressive disorder (MDD) is a serious and widespread psychiatric disorder. Previous studies mainly focused on cerebrum functional connectivity, and the sample size was relatively small. However, functional connectivity is undirected. And, there is increasing evidence that the cerebellum is also involved in emotion and cognitive processing and makes outstanding contributions to the symptomology and pathology of depression. Therefore, we used a large sample size of resting-state functional magnetic resonance imaging (rs-fMRI) data to investigate the altered effective connectivity (EC) among the cerebellum and other cerebral cortex in patients with MDD. Here, from the perspective of data-driven analysis, we used two different atlases to divide the whole brain into different regions and analyzed the alterations of EC and EC networks in the MDD group compared with healthy controls group (HCs). The results showed that compared with HCs, there were significantly altered EC in the cerebellum-neocortex and cerebellum-basal ganglia circuits in MDD patients, which implied that the cerebellum may be a potential biomarker of depressive disorders. And, the alterations of EC brain networks in MDD patients may provide new insights into the pathophysiological mechanisms of depression.
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Affiliation(s)
- Peishan Dai
- School of Computer Science and Engineering, Central South University, Changsha, Hunan, China.
| | - Xiaoyan Zhou
- School of Computer Science and Engineering, Central South University, Changsha, Hunan, China
| | - Tong Xiong
- School of Computer Science and Engineering, Central South University, Changsha, Hunan, China
| | - Yilin Ou
- School of Computer Science and Engineering, Central South University, Changsha, Hunan, China
| | - Zailiang Chen
- School of Computer Science and Engineering, Central South University, Changsha, Hunan, China
| | - Beiji Zou
- School of Computer Science and Engineering, Central South University, Changsha, Hunan, China
| | - Weihui Li
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Zhongchao Huang
- Department of Biomedical Engineering, School of Basic Medical Science, Central South University, Changsha, Hunan, China
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5
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Bögemann SA, Riepenhausen A, Puhlmann LMC, Bar S, Hermsen EJC, Mituniewicz J, Reppmann ZC, Uściƚko A, van Leeuwen JMC, Wackerhagen C, Yuen KSL, Zerban M, Weermeijer J, Marciniak MA, Mor N, van Kraaij A, Köber G, Pooseh S, Koval P, Arias-Vásquez A, Binder H, De Raedt W, Kleim B, Myin-Germeys I, Roelofs K, Timmer J, Tüscher O, Hendler T, Kobylińska D, Veer IM, Kalisch R, Hermans EJ, Walter H. Investigating two mobile just-in-time adaptive interventions to foster psychological resilience: research protocol of the DynaM-INT study. BMC Psychol 2023; 11:245. [PMID: 37626397 PMCID: PMC10464364 DOI: 10.1186/s40359-023-01249-5] [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: 05/26/2023] [Accepted: 07/14/2023] [Indexed: 08/27/2023] Open
Abstract
BACKGROUND Stress-related disorders such as anxiety and depression are highly prevalent and cause a tremendous burden for affected individuals and society. In order to improve prevention strategies, knowledge regarding resilience mechanisms and ways to boost them is highly needed. In the Dynamic Modelling of Resilience - interventional multicenter study (DynaM-INT), we will conduct a large-scale feasibility and preliminary efficacy test for two mobile- and wearable-based just-in-time adaptive interventions (JITAIs), designed to target putative resilience mechanisms. Deep participant phenotyping at baseline serves to identify individual predictors for intervention success in terms of target engagement and stress resilience. METHODS DynaM-INT aims to recruit N = 250 healthy but vulnerable young adults in the transition phase between adolescence and adulthood (18-27 years) across five research sites (Berlin, Mainz, Nijmegen, Tel Aviv, and Warsaw). Participants are included if they report at least three negative burdensome past life events and show increased levels of internalizing symptoms while not being affected by any major mental disorder. Participants are characterized in a multimodal baseline phase, which includes neuropsychological tests, neuroimaging, bio-samples, sociodemographic and psychological questionnaires, a video-recorded interview, as well as ecological momentary assessments (EMA) and ecological physiological assessments (EPA). Subsequently, participants are randomly assigned to one of two ecological momentary interventions (EMIs), targeting either positive cognitive reappraisal or reward sensitivity. During the following intervention phase, participants' stress responses are tracked using EMA and EPA, and JITAIs are triggered if an individually calibrated stress threshold is crossed. In a three-month-long follow-up phase, parts of the baseline characterization phase are repeated. Throughout the entire study, stressor exposure and mental health are regularly monitored to calculate stressor reactivity as a proxy for outcome resilience. The online monitoring questionnaires and the repetition of the baseline questionnaires also serve to assess target engagement. DISCUSSION The DynaM-INT study intends to advance the field of resilience research by feasibility-testing two new mechanistically targeted JITAIs that aim at increasing individual stress resilience and identifying predictors for successful intervention response. Determining these predictors is an important step toward future randomized controlled trials to establish the efficacy of these interventions.
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Grants
- 777084 European Union's Horizon 2020 research and innovation program
- 777084 European Union's Horizon 2020 research and innovation program
- 777084 European Union's Horizon 2020 research and innovation program
- 777084 European Union's Horizon 2020 research and innovation program
- 777084 European Union's Horizon 2020 research and innovation program
- 777084 European Union's Horizon 2020 research and innovation program
- 777084 European Union's Horizon 2020 research and innovation program
- 777084 European Union's Horizon 2020 research and innovation program
- 777084 European Union's Horizon 2020 research and innovation program
- 777084 European Union's Horizon 2020 research and innovation program
- 777084 European Union's Horizon 2020 research and innovation program
- 777084 European Union's Horizon 2020 research and innovation program
- 777084 European Union's Horizon 2020 research and innovation program
- 777084 European Union's Horizon 2020 research and innovation program
- 777084 European Union's Horizon 2020 research and innovation program
- 777084 European Union's Horizon 2020 research and innovation program
- DFG Grant CRC 1193, subprojects B01, C01, C04, Z03 Deutsche Forschungsgemeinschaft
- DFG Grant CRC 1193, subprojects B01, C01, C04, Z03 Deutsche Forschungsgemeinschaft
- 01KX2021 German Federal Ministry for Education and Research (BMBF) as part of the Network for University Medicine
- MARP program, DRZ program, Leibniz Institute for Resilience Research State of Rhineland-Palatinate, Germany
- MARP program, DRZ program, Leibniz Institute for Resilience Research State of Rhineland-Palatinate, Germany
- European Union’s Horizon 2020 research and innovation program
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Affiliation(s)
- S A Bögemann
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, Nijmegen, 6525 EN, The Netherlands.
| | - A Riepenhausen
- Research Division of Mind and Brain, Department of Psychiatry and Neurosciences CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Faculty of Philosophy, Berlin School of Mind and Brain, Humboldt-Universität Zu Berlin, Berlin, Germany
| | - L M C Puhlmann
- Leibniz Institute for Resilience Research (LIR), Mainz, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - S Bar
- Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - E J C Hermsen
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, Nijmegen, 6525 EN, The Netherlands
| | - J Mituniewicz
- Faculty of Psychology, University of Warsaw, Warsaw, Poland
| | - Z C Reppmann
- Research Division of Mind and Brain, Department of Psychiatry and Neurosciences CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - A Uściƚko
- Faculty of Psychology, University of Warsaw, Warsaw, Poland
| | - J M C van Leeuwen
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, Nijmegen, 6525 EN, The Netherlands
| | - C Wackerhagen
- Research Division of Mind and Brain, Department of Psychiatry and Neurosciences CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - K S L Yuen
- Leibniz Institute for Resilience Research (LIR), Mainz, Germany
- Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), Johannes Gutenberg University Medical Center, Mainz, Germany
| | - M Zerban
- Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), Johannes Gutenberg University Medical Center, Mainz, Germany
| | - J Weermeijer
- Center for Contextual Psychiatry, Department of Neurosciences, KU Leuven, Louvain, Belgium
| | - M A Marciniak
- Division of Experimental Psychopathology and Psychotherapy, Department of Psychology, University of Zurich, Zurich, Switzerland
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital (PUK), University of Zurich, Zurich, Switzerland
| | - N Mor
- Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - A van Kraaij
- OnePlanet Research Center, Wageningen, The Netherlands
| | - G Köber
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
- Freiburg Center for Data Analysis and Modelling, University of Freiburg, Freiburg, Germany
| | - S Pooseh
- Freiburg Center for Data Analysis and Modelling, University of Freiburg, Freiburg, Germany
| | - P Koval
- Melbourne School of Psychological Sciences, The University of Melbourne, Vic, 3010, Australia
| | - A Arias-Vásquez
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, Nijmegen, 6525 EN, The Netherlands
| | - H Binder
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
- Freiburg Center for Data Analysis and Modelling, University of Freiburg, Freiburg, Germany
| | - W De Raedt
- Life Sciences Department, Imec, Louvain, Belgium
| | - B Kleim
- Division of Experimental Psychopathology and Psychotherapy, Department of Psychology, University of Zurich, Zurich, Switzerland
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital (PUK), University of Zurich, Zurich, Switzerland
| | - I Myin-Germeys
- Center for Contextual Psychiatry, Department of Neurosciences, KU Leuven, Louvain, Belgium
| | - K Roelofs
- Center for Cognitive Neuroimaging, Donders Institute for Brain Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands
| | - J Timmer
- Freiburg Center for Data Analysis and Modelling, University of Freiburg, Freiburg, Germany
- Institute of Physics, University of Freiburg, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany
| | - O Tüscher
- Leibniz Institute for Resilience Research (LIR), Mainz, Germany
- Department of Psychiatry and Psychotherapy, Johannes Gutenberg University Medical Center, Mainz, Germany
| | - T Hendler
- Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- School of Psychological Science, Tel Aviv University, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - D Kobylińska
- Faculty of Psychology, University of Warsaw, Warsaw, Poland
| | - I M Veer
- Department of Developmental Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - R Kalisch
- Leibniz Institute for Resilience Research (LIR), Mainz, Germany
- Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), Johannes Gutenberg University Medical Center, Mainz, Germany
| | - E J Hermans
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Kapittelweg 29, Nijmegen, 6525 EN, The Netherlands
| | - H Walter
- Research Division of Mind and Brain, Department of Psychiatry and Neurosciences CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Faculty of Philosophy, Berlin School of Mind and Brain, Humboldt-Universität Zu Berlin, Berlin, Germany
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6
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Resting state functional connectivity as a marker of internalizing disorder onset in high-risk youth. Sci Rep 2022; 12:21337. [PMID: 36494495 PMCID: PMC9734132 DOI: 10.1038/s41598-022-25805-y] [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: 08/26/2022] [Accepted: 12/05/2022] [Indexed: 12/13/2022] Open
Abstract
While research has linked alterations in functional connectivity of the default mode (DMN), cognitive control (CCN), and salience networks (SN) to depression and anxiety, little research has examined whether these alterations may be premorbid vulnerabilities. This study examined resting state functional connectivity (RSFC) of the CCN, DMN, and SN as markers of risk for developing an onset of a depressive or anxiety disorder in adolescents at high familial risk for these disorders. At baseline, 135 participants aged 11-17 completed resting-state functional magnetic resonance imaging, measures of internalizing symptoms, and diagnostic interviews to assess history of depressive and anxiety disorders. Diagnostic assessments were completed again at 9- or 18-month follow-up for 112 participants. At baseline, increased CCN connectivity to areas of the visual network, and decreased connectivity between the left SN and the precentral gyrus, predicted an increased likelihood of a new onset at follow-up. Increased connectivity between the right SN and postcentral gyrus at baseline predicted first episode onsets at follow-up. Altered connectivity between these regions may represent a risk factor for developing a clinically significant onset of an internalizing disorder. Results may have implications for understanding the neural bases of internalizing disorders for early identification and prevention efforts.
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