51
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Gao M, Shao R, Huang CM, Liu HL, Chen YL, Lee SH, Lin C, Lee TM. The relationship between loneliness and working-memory-related frontoparietal network connectivity in people with major depressive disorder. Behav Brain Res 2020; 393:112776. [DOI: 10.1016/j.bbr.2020.112776] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Revised: 05/24/2020] [Accepted: 06/01/2020] [Indexed: 02/03/2023]
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Kim YK, Kim OY, Song J. Alleviation of Depression by Glucagon-Like Peptide 1 Through the Regulation of Neuroinflammation, Neurotransmitters, Neurogenesis, and Synaptic Function. Front Pharmacol 2020; 11:1270. [PMID: 32922295 PMCID: PMC7456867 DOI: 10.3389/fphar.2020.01270] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 07/31/2020] [Indexed: 12/11/2022] Open
Abstract
Depression has emerged as a major cause of mortality globally. Many studies have reported risk factors and mechanisms associated with depression, but it is as yet unclear how these findings can be applied to the treatment and prevention of this disorder. The onset and recurrence of depression have been linked to diverse metabolic factors, including hyperglycemia, dyslipidemia, and insulin resistance. Recent studies have suggested that depression is accompanied by memory loss as well as depressive mood. Thus, many researchers have highlighted the relationship between depressive behavior and metabolic alterations from various perspectives. Glucagon-like peptide-1 (GLP-1), which is secreted from gut cells and hindbrain areas, has been studied in metabolic diseases such as obesity and diabetes, and was shown to control glucose metabolism and insulin resistance. Recently, GLP-1 was highlighted as a regulator of diverse pathways, but its potential as the therapeutic target of depressive disorder was not described comprehensively. Therefore, in this review, we focused on the potential of GLP-1 modulation in depression.
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Affiliation(s)
- Young-Kook Kim
- Department of Biochemistry, Chonnam National University Medical School, Hwasun, South Korea
| | - Oh Yoen Kim
- Department of Food Science and Nutrition, Dong-A University, Busan, South Korea.,Center for Silver-targeted Biomaterials, Brain Busan 21 Plus Program, Graduate School, Dong-A University, Busan, South Korea
| | - Juhyun Song
- Department of Anatomy, Chonnam National University Medical School, Hwasun, South Korea
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53
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Vasavada MM, Loureiro J, Kubicki A, Sahib A, Wade B, Hellemann G, Espinoza RT, Congdon E, Narr KL, Leaver AM. Effects of Serial Ketamine Infusions on Corticolimbic Functional Connectivity in Major Depression. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 6:735-744. [PMID: 32900657 DOI: 10.1016/j.bpsc.2020.06.015] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 06/25/2020] [Accepted: 06/26/2020] [Indexed: 01/04/2023]
Abstract
BACKGROUND Ketamine is a highly effective antidepressant for patients with treatment-resistant major depressive disorder (MDD). Resting-state functional magnetic resonance imaging studies show disruptions of functional connectivity (FC) between limbic regions and resting-state networks (RSNs) in MDD, including the default mode network, central executive network (CEN), and salience network (SN). Here, we investigated whether serial ketamine treatments change FC between limbic structures and RSNs. METHODS Patients with MDD (n = 44) were scanned at baseline (time 1 [T1]) and 24 hours after the first (T2) and fourth (T3) infusions of ketamine. Healthy control subjects (n = 50) were scanned at baseline, with a subgroup (n = 17) being rescanned at 2 weeks. Limbic regions included the amygdala and hippocampus, and RSNs included the default mode network, CEN, and SN. RESULTS Ketamine increased right amygdala FC to the right CEN (p = .05), decreased amygdala FC to the left CEN (p = .005) at T2 versus T1 (p = .015), which then increased at T3 versus T2 (p = .002), and decreased left amygdala FC to the SN (p = .016). Decreased left amygdala to SN FC at T2 predicted improvements in anxiety at T3 (p = .006). Ketamine increased right hippocampus FC to the left CEN (p = .001), and this change at T2 predicted decreased anhedonia at T3 (p = .005). CONCLUSIONS Ketamine modulates FC between limbic regions and RSNs implicated in MDD. Increases in FC between limbic regions and the CEN suggest that ketamine may be involved in restoring top-down control of emotion processing. FC decreases between the left amygdala and SN suggest that ketamine may ameliorate MDD-related dysconnectivity in these circuits. Early FC changes between limbic regions and RSNs may be predictive of clinical improvements.
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Affiliation(s)
- Megha M Vasavada
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Joana Loureiro
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Antoni Kubicki
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Ashish Sahib
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Benjamin Wade
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Gerhard Hellemann
- Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Randall T Espinoza
- Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Eliza Congdon
- Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Katherine L Narr
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California; Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Amber M Leaver
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
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54
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Aguilar-Ortiz S, Salgado-Pineda P, Vega D, Pascual JC, Marco-Pallarés J, Soler J, Brunel C, Martin-Blanco A, Soto A, Ribas J, Maristany T, Sarró S, Rodríguez-Fornells A, Salvador R, McKenna PJ, Pomarol-Clotet E. Evidence for default mode network dysfunction in borderline personality disorder. Psychol Med 2020; 50:1746-1754. [PMID: 31456534 DOI: 10.1017/s0033291719001880] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
BACKGROUND Although executive and other cognitive deficits have been found in patients with borderline personality disorder (BPD), whether these have brain functional correlates has been little studied. This study aimed to examine patterns of task-related activation and de-activation during the performance of a working memory task in patients with the disorder. METHODS Sixty-seven DSM-IV BPD patients and 67 healthy controls underwent fMRI during the performance of the n-back task. Linear models were used to obtain maps of within-group activations and areas of differential activation between the groups. RESULTS On corrected whole-brain analysis, there were no activation differences between the BPD patients and the healthy controls during the main 2-back v. baseline contrast, but reduced activation was seen in the precentral cortex bilaterally and the left inferior parietal cortex in the 2-back v. 1-back contrast. The patients showed failure of de-activation affecting the medial frontal cortex and the precuneus, plus in other areas. The changes did not appear to be attributable to previous history of depression, which was present in nearly half the sample. CONCLUSIONS In this study, there was some, though limited, evidence for lateral frontal hypoactivation in BPD during the performance of an executive task. BPD also appears to be associated with failure of de-activation in key regions of the default mode network.
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Affiliation(s)
- Salvatore Aguilar-Ortiz
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- Benito Menni Complex Assistencial en Salut Mental, Sant Boi de Llobregat, Barcelona, Spain
- Departament de Psiquiatria i Medicina Legal, PhD Programme, Doctorat en Psiquiatria, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Pilar Salgado-Pineda
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- CIBERSAM, Barcelona, Spain
| | - Daniel Vega
- Servei de Psiquiatria i Salut Mental, Consorci Sanitari de l'Anoia, Igualada, Spain
| | - Juan C Pascual
- CIBERSAM, Barcelona, Spain
- Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Josep Marco-Pallarés
- Faculty of Psychology, University of Barcelona, Bellvitge Hospital, Barcelona, Spain
| | - Joaquim Soler
- CIBERSAM, Barcelona, Spain
- Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Cristina Brunel
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- Benito Menni Complex Assistencial en Salut Mental, Sant Boi de Llobregat, Barcelona, Spain
| | - Ana Martin-Blanco
- Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Angel Soto
- Servei de Psiquiatria i Salut Mental, Consorci Sanitari de l'Anoia, Igualada, Spain
| | - Joan Ribas
- Servei de Psiquiatria i Salut Mental, Consorci Sanitari de l'Anoia, Igualada, Spain
| | - Teresa Maristany
- Hospital Sant Joan de Déu, Esplugues de Llobregrat, Barcelona, Spain
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- CIBERSAM, Barcelona, Spain
| | | | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- CIBERSAM, Barcelona, Spain
| | - Peter J McKenna
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- CIBERSAM, Barcelona, Spain
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- CIBERSAM, Barcelona, Spain
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Bessette KL, Jacobs RH, Heleniak C, Peters AT, Welsh RC, Watkins ER, Langenecker SA. Malleability of rumination: An exploratory model of CBT-based plasticity and long-term reduced risk for depressive relapse among youth from a pilot randomized clinical trial. PLoS One 2020; 15:e0233539. [PMID: 32555582 PMCID: PMC7299403 DOI: 10.1371/journal.pone.0233539] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2019] [Accepted: 05/06/2020] [Indexed: 11/29/2022] Open
Abstract
CLINICAL TRIALS REGISTRATION NCT01905267, https://clinicaltrials.gov/ct2/show/NCT01905267.
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Affiliation(s)
- Katie L. Bessette
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States of America
- Department of Psychiatry, University of Utah, Salt Lake City, UT, United States of America
| | - Rachel H. Jacobs
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
| | - Charlotte Heleniak
- Department of Psychology, Columbia University, New York City, NY, United States of America
| | - Amy T. Peters
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States of America
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States of America
| | - Robert C. Welsh
- Department of Psychiatry, University of Utah, Salt Lake City, UT, United States of America
| | | | - Scott A. Langenecker
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States of America
- Department of Psychiatry, University of Utah, Salt Lake City, UT, United States of America
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56
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Song AQ, Gao B, Fan JJ, Zhu YJ, Zhou J, Wang YL, Xu LZ, Wu WN. NLRP1 inflammasome contributes to chronic stress-induced depressive-like behaviors in mice. J Neuroinflammation 2020; 17:178. [PMID: 32513185 PMCID: PMC7281929 DOI: 10.1186/s12974-020-01848-8] [Citation(s) in RCA: 99] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 05/19/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is a highly prevalent psychiatric disorder, and inflammation has been considered crucial components of the pathogenesis of depression. NLRP1 inflammasome-driven inflammatory response is believed to participate in many neurological disorders. However, it is unclear whether NLRP1 inflammasome is implicated in the development of depression. METHODS Animal models of depression were established by four different chronic stress stimuli including chronic unpredictable mild stress (CUMS), chronic restrain stress (CRS), chronic social defeat stress (CSDS), and repeat social defeat stress (RSDS). Depressive-like behaviors were determined by sucrose preference test (SPT), forced swim test (FST), tail-suspension test (TST), open-field test (OFT), social interaction test (SIT), and light-dark test (LDT). The expression of NLRP1 inflammasome complexes, BDNF, and CXCL1/CXCR2 were tested by western blot and quantitative real-time PCR. The levels of inflammatory cytokines were tested by enzyme-linked immunosorbent assay (ELISA) kits. Nlrp1a knockdown was performed by an adeno-associated virus (AAV) vector containing Nlrp1a-shRNA-eGFP infusion. RESULTS Chronic stress stimuli activated hippocampal NLRP1 inflammasome and promoted the release of pro-inflammatory cytokines IL-1β, IL-18, IL-6, and TNF-α in mice. Hippocampal Nlrp1a knockdown prevented NLRP1 inflammasome-driven inflammatory response and ameliorated stress-induced depressive-like behaviors. Also, chronic stress stimuli caused the increase in hippocampal CXCL1/CXCR2 expression and low BDNF levels in mice. Interestingly, Nlrp1a knockdown inhibited the up-regulation of CXCL1/CXCR2 expression and restored BDNF levels in the hippocampus. CONCLUSIONS NLRP1 inflammasome-driven inflammatory response contributes to chronic stress induced depressive-like behaviors and the mechanism may be related to CXCL1/CXCR2/BDNF signaling pathway. Thus, NLRP1 inflammasome could become a potential antidepressant target.
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Affiliation(s)
- Ao-Qi Song
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, 230032, People's Republic of China
| | - Bo Gao
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, 230032, People's Republic of China
| | - Jun-Juan Fan
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, 230032, People's Republic of China
| | - Ya-Jing Zhu
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, 230032, People's Republic of China
| | - Jun Zhou
- Department of Pharmacy, Xi'an Chest Hospital, Xi'an Jiaotong University, Xi'an, 710100, People's Republic of China
| | - Yu-Ling Wang
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, 230032, People's Republic of China
| | - Li-Zhong Xu
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, 230032, People's Republic of China
| | - Wen-Ning Wu
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, 230032, People's Republic of China. .,Key Laboratory of Anti-inflammatory and Immunopharmacology, Anhui Medical University, Hefei, 230032, People's Republic of China.
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57
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Abstract
Major depressive disorder (MDD) is a serious public health problem that has, at best, modest treatment response—potentially due to its heterogeneous clinical presentation. One way to parse the heterogeneity is to investigate the role of particular features of MDD, an endeavor that can also help identify novel and focal targets for treatment and prevention efforts. Our R01 focuses on the feature of psychomotor disturbance (e.g., psychomotor agitation (PmA) and retardation (PmR)), a particularly pernicious feature of MDD, that has not been examined extensively in MDD. Aim 1 is comparing three groups of individuals—those with current MDD (n = 100), remitted MDD (n = 100), and controls (n = 50)—on multiple measures of PmR and PmA (assessed both in the lab and in the subjects’ natural environment). Aim 2 is examining the structural (diffusion MRI) and functional (resting state fMRI) connectivity of motor circuitry of the three groups as well as the relation between motor circuitry and the proposed indicators of PmR and PmA. Aim 3 is following up with subjects three times over 18 months to evaluate whether motor symptoms change in tandem with overall depressive symptoms and functioning over time and/or whether baseline PmR/PmA predicts course of depression and functioning. Aim 3 is particularly clinically significant. Finding that motor functioning and overall depression severity co-vary over time, or that motor variables predict subsequent change in overall depression severity, would support the potential clinical utility of these novel, reliable, and easily administered motor assessments.
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58
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Liu CH, Yang MH, Zhang GZ, Wang XX, Li B, Li M, Woelfer M, Walter M, Wang L. Neural networks and the anti-inflammatory effect of transcutaneous auricular vagus nerve stimulation in depression. J Neuroinflammation 2020; 17:54. [PMID: 32050990 PMCID: PMC7017619 DOI: 10.1186/s12974-020-01732-5] [Citation(s) in RCA: 82] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 01/31/2020] [Indexed: 12/19/2022] Open
Abstract
Transcutaneous auricular vagus nerve stimulation (taVNS) is a relatively non-invasive alternative treatment for patients suffering from major depressive disorder (MDD). It has been postulated that acupuncture may achieve its treatment effects on MDD through suppression of vagal nerve inflammatory responses. Our previous research established that taVNS significantly increases amygdala–dorsolateral prefrontal cortex connectivity, which is associated with a reduction in depression severity. However, the relationship between taVNS and the central/peripheral functional state of the immune system, as well as changes in brain neural circuits, have not as yet been elucidated. In the present paper, we outline the anatomic foundation of taVNS and emphasize that it significantly modulates the activity and connectivity of a wide range of neural networks, including the default mode network, executive network, and networks involved in emotional and reward circuits. In addition, we present the inflammatory mechanism of MDD and describe how taVNS inhibits central and peripheral inflammation, which is possibly related to the effectiveness of taVNS in reducing depression severity. Our review suggests a link between the suppression of inflammation and changes in brain regions/circuits post taVNS.
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Affiliation(s)
- Chun-Hong Liu
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China. .,Beijing Institute of Traditional Chinese Medicine, Beijing, 100010, China.
| | - Ming-Hao Yang
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Guang-Zhong Zhang
- Dermatological Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Xiao-Xu Wang
- Dermatological Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Bin Li
- Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine, Beijing Key Laboratory of Acupuncture Neuromodulation, Capital Medical University, Beijing, 100010, China
| | - Meng Li
- Clinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, 39120, Germany.,Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, 07743, Germany
| | - Marie Woelfer
- Clinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, 39120, Germany.,Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
| | - Martin Walter
- Clinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, 39120, Germany.,Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, 07743, Germany.,Department of Behavioral Neurology, Leibniz Institute for Neurobiology, Magdeburg, 39118, Germany.,Center of Behavioral Brain Sciences, Otto-von-Guericke University, Magdeburg, 39118, Germany
| | - Lihong Wang
- Department of Psychiatry, University of Connecticut Health Center, Farmington, CT 06030, USA.
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59
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Long Y, Cao H, Yan C, Chen X, Li L, Castellanos FX, Bai T, Bo Q, Chen G, Chen N, Chen W, Cheng C, Cheng Y, Cui X, Duan J, Fang Y, Gong Q, Guo W, Hou Z, Hu L, Kuang L, Li F, Li K, Li T, Liu Y, Luo Q, Meng H, Peng D, Qiu H, Qiu J, Shen Y, Shi Y, Si T, Wang C, Wang F, Wang K, Wang L, Wang X, Wang Y, Wu X, Wu X, Xie C, Xie G, Xie H, Xie P, Xu X, Yang H, Yang J, Yao J, Yao S, Yin Y, Yuan Y, Zhang A, Zhang H, Zhang K, Zhang L, Zhang Z, Zhou R, Zhou Y, Zhu J, Zou C, Zang Y, Zhao J, Kin-Yuen Chan C, Pu W, Liu Z. Altered resting-state dynamic functional brain networks in major depressive disorder: Findings from the REST-meta-MDD consortium. NEUROIMAGE-CLINICAL 2020; 26:102163. [PMID: 31953148 PMCID: PMC7229351 DOI: 10.1016/j.nicl.2020.102163] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 11/17/2019] [Accepted: 01/02/2020] [Indexed: 02/05/2023]
Abstract
BACKGROUND Major depressive disorder (MDD) is known to be characterized by altered brain functional connectivity (FC) patterns. However, whether and how the features of dynamic FC would change in patients with MDD are unclear. In this study, we aimed to characterize dynamic FC in MDD using a large multi-site sample and a novel dynamic network-based approach. METHODS Resting-state functional magnetic resonance imaging (fMRI) data were acquired from a total of 460 MDD patients and 473 healthy controls, as a part of the REST-meta-MDD consortium. Resting-state dynamic functional brain networks were constructed for each subject by a sliding-window approach. Multiple spatio-temporal features of dynamic brain networks, including temporal variability, temporal clustering and temporal efficiency, were then compared between patients and healthy subjects at both global and local levels. RESULTS The group of MDD patients showed significantly higher temporal variability, lower temporal correlation coefficient (indicating decreased temporal clustering) and shorter characteristic temporal path length (indicating increased temporal efficiency) compared with healthy controls (corrected p < 3.14×10-3). Corresponding local changes in MDD were mainly found in the default-mode, sensorimotor and subcortical areas. Measures of temporal variability and characteristic temporal path length were significantly correlated with depression severity in patients (corrected p < 0.05). Moreover, the observed between-group differences were robustly present in both first-episode, drug-naïve (FEDN) and non-FEDN patients. CONCLUSIONS Our findings suggest that excessive temporal variations of brain FC, reflecting abnormal communications between large-scale bran networks over time, may underlie the neuropathology of MDD.
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Affiliation(s)
- Yicheng Long
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China; Mental Health Institute, Central South University, Changsha, Hunan 410011, China; Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, USA
| | - Hengyi Cao
- Department of Psychology, Yale University, 2 Hillhouse Avenue, New Haven, CT 06511, USA.
| | - Chaogan Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China; Magnetic Resonance Imaging Research Center and Research Center for Lifespan Development of Mind and Brain, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Child and Adolescent Psychiatry, NYU School of Medicine, New York, NY 10016, USA
| | - Xiao Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Le Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Francisco Xavier Castellanos
- Department of Child and Adolescent Psychiatry, NYU School of Medicine, New York, NY 10016, USA; Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962, USA
| | - Tongjian Bai
- The first affiliated hospital of Anhui Medical University, Hefei, Anhui 230022, China
| | - Qijing Bo
- Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Guanmao Chen
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong 510630, China
| | - Ningxuan Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Chen
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, China
| | - Chang Cheng
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China
| | - Yuqi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Xilong Cui
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China
| | - Jia Duan
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang, Liaoning 110001, China
| | - Yiru Fang
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Qiyong Gong
- Huaxi MR Research Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Wenbin Guo
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China
| | - Zhenghua Hou
- Department of Psychosomatics and Psychiatry, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu 210096, China
| | - Lan Hu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Li Kuang
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Feng Li
- Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Kaiming Li
- Huaxi MR Research Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Tao Li
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yansong Liu
- Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu 215137, China
| | - Qinghua Luo
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Huaqing Meng
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Daihui Peng
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Haitang Qiu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Jiang Qiu
- Faculty of Psychology, Southwest University, Chongqing 400716, China
| | - Yuedi Shen
- Department of Diagnostics, Affiliated Hospital, Medical School, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China
| | - Yushu Shi
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Tianmei Si
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China
| | - Chuanyue Wang
- Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Fei Wang
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang, Liaoning 110001, China
| | - Kai Wang
- The first affiliated hospital of Anhui Medical University, Hefei, Anhui 230022, China
| | - Li Wang
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China
| | - Xiang Wang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China
| | - Ying Wang
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong 510630, China
| | - Xiaoping Wu
- Xi'an Central Hospital, Xi'an, Shaanxi 710003, China
| | - Xinran Wu
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Chunming Xie
- Department of Neurology, Affiliated Zhongda Hospital of Southeast University, Nanjing, Jiangsu 210009, China
| | - Guangrong Xie
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China
| | - Haiyan Xie
- Department of Psychiatry, The Fourth Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Peng Xie
- Institute of Neuroscience, Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Xiufeng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Hong Yang
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Jian Yang
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China
| | - Jiashu Yao
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, China
| | - Shuqiao Yao
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China
| | - Yingying Yin
- Department of Psychosomatics and Psychiatry, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu 210096, China
| | - Yonggui Yuan
- Department of Psychosomatics and Psychiatry, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu 210096, China
| | - Aixia Zhang
- First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Hong Zhang
- Xi'an Central Hospital, Xi'an, Shaanxi 710003, China
| | - Kerang Zhang
- First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Lei Zhang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhijun Zhang
- Xi'an Central Hospital, Xi'an, Shaanxi 710003, China
| | - Rubai Zhou
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yiting Zhou
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Junjuan Zhu
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Chaojie Zou
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Yufeng Zang
- Center for Cognition and Brain Disorders, Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang 311121, China
| | - Jingping Zhao
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China
| | | | - Weidan Pu
- Medical Psychological Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Zhening Liu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China; Mental Health Institute, Central South University, Changsha, Hunan 410011, China.
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Thai M, Başgöze Z, Klimes-Dougan B, Mueller BA, Fiecas M, Lim KO, Albott CS, Cullen KR. Neural and Behavioral Correlates of Clinical Improvement to Ketamine in Adolescents With Treatment Resistant Depression. Front Psychiatry 2020; 11:820. [PMID: 33013493 PMCID: PMC7461781 DOI: 10.3389/fpsyt.2020.00820] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 07/29/2020] [Indexed: 12/27/2022] Open
Abstract
Treatment-resistant depression (TRD) is a serious problem in adolescents. Development and optimization of novel interventions for these youth will require a deeper knowledge of the neurobiology of depression. A well-established phenomenon of depression is an attention bias toward negativity and away from positivity that is evidenced behaviorally and neurally, but it is unclear how symptom reduction is related to changes to this bias. Neurobiological research using a treatment probe has promise to help discover the neural changes that accompany symptom improvement. Ketamine has utility for such research because of its known rapid and strong antidepressant effects in the context of TRD. Our previous study of six open-label ketamine infusions in 11 adolescents with TRD showed variable response, ranging from full remission, partial response, non-response, or clinical worsening. In this study, we examined the performance of these participants on Word Face Stroop (WFS) fMRI task where they indicated the valence of affective words superimposed onto either congruent or incongruent emotional faces before and after the ketamine infusions. Participants also completed a clinical assessment (including measurement of depression symptomology and anhedonia/pleasure) before and after the ketamine infusions. Following ketamine treatment, better WFS performance correlated with self-reported decreased depressive symptoms and increased pleasure. Analyses of corticolimbic, corticostriatal and default mode (DMN) networks showed that across networks, decreased activation during all conditions (congruent negative, congruent positive, incongruent negative, and incongruent positive) correlated with decreases in depressive symptoms and with increases in pleasure. These findings suggest that in adolescents with TRD, clinical improvement may require an attenuation of the negativity bias and re-tuning of these three critical neural networks to attenuate DMN and limbic regions activation and allow more efficient recruitment of the reward network. Lower activation across conditions may facilitate shifting across different salient emotional stimuli rather than getting trapped in downward negative spirals.
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Affiliation(s)
- Michelle Thai
- Psychology Department, College of Liberal Arts, University of Minnesota, Twin Cities, MN, United States
| | - Zeynep Başgöze
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Minnesota, Twin Cities, MN, United States
| | - Bonnie Klimes-Dougan
- Psychology Department, College of Liberal Arts, University of Minnesota, Twin Cities, MN, United States
| | - Bryon A Mueller
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Minnesota, Twin Cities, MN, United States
| | - Mark Fiecas
- Biostatistics Department, School of Public Health, University of Minnesota, Twin Cities, MN, United States
| | - Kelvin O Lim
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Minnesota, Twin Cities, MN, United States
| | - C Sophia Albott
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Minnesota, Twin Cities, MN, United States
| | - Kathryn R Cullen
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Minnesota, Twin Cities, MN, United States
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Geugies H, Opmeer EM, Marsman JBC, Figueroa CA, van Tol MJ, Schmaal L, van der Wee NJA, Aleman A, Penninx BWJH, Veltman DJ, Schoevers RA, Ruhé HG. Decreased functional connectivity of the insula within the salience network as an indicator for prospective insufficient response to antidepressants. NEUROIMAGE-CLINICAL 2019; 24:102064. [PMID: 31795046 PMCID: PMC6883326 DOI: 10.1016/j.nicl.2019.102064] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 10/01/2019] [Accepted: 11/03/2019] [Indexed: 01/04/2023]
Abstract
Connectivity analyses complemented with a metric exploring switching in brain activity. Lower insula-salience connectivity predicts insufficient antidepressant response. This same insula region is activated less when switching from task to a rest. This could be a potential biomarkers for predicting future antidepressant response.
Insufficient response to treatment is the main cause of prolonged suffering from major depressive disorder (MDD). Early identification of insufficient response could result in faster and more targeted treatment strategies to reduce suffering. We therefore explored whether baseline alterations within and between resting state functional connectivity networks could serve as markers of insufficient response to antidepressant treatment in two years of follow-up. We selected MDD patients (N = 17) from the NEtherlands Study of Depression and Anxiety (NESDA), who received ≥ two antidepressants, indicative for insufficient response, during the two year follow-up, a group of MDD patients who received only one antidepressant (N = 32) and a healthy control group (N = 19) matched on clinical characteristics and demographics. An independent component analysis (ICA) of baseline resting-state scans was conducted after which functional connectivity within the components was compared between groups. We observed lower connectivity of the right insula within the salience network in the group with ≥ two antidepressants compared to the group with one antidepressant. No difference in connectivity was found between the patient groups and healthy control group. Given the suggested role of the right insula in switching between task-positive mode (activation during attention-demanding tasks) and task-negative mode (activation during the absence of any task), we explored whether right insula activation differed during switching between these two modes. We observed that in the ≥2 antidepressant group, the right insula was less active compared to the group with one antidepressant, when switching from task-positive to task-negative mode than the other way around. These findings imply that lower right insula connectivity within the salience network may serve as an indicator for prospective insufficient response to antidepressants. This result, supplemented by the diminished insula activation when switching between task and rest related networks, could indicate an underlying mechanism that, if not sufficiently targeted by current antidepressants, could lead to insufficient response. When replicated, these findings may contribute to the identification of biomarkers for early detection of insufficient response.
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Affiliation(s)
- H Geugies
- University Medical Center Groningen, University Center for Psychiatry, Mood and Anxiety Disorders, University of Groningen, Groningen, the Netherlands; University Medical Center Groningen, Department of Neuroscience, Cognitive Neuroscience Center, University of Groningen, Groningen, the Netherlands.
| | - E M Opmeer
- University Medical Center Groningen, Department of Neuroscience, Cognitive Neuroscience Center, University of Groningen, Groningen, the Netherlands
| | - J B C Marsman
- University Medical Center Groningen, Department of Neuroscience, Cognitive Neuroscience Center, University of Groningen, Groningen, the Netherlands
| | - C A Figueroa
- Department of Psychiatry, Amsterdam UMC, Locatie AMC, University of Amsterdam, Amsterdam, the Netherlands
| | - M J van Tol
- University Medical Center Groningen, Department of Neuroscience, Cognitive Neuroscience Center, University of Groningen, Groningen, the Netherlands
| | - L Schmaal
- Department of Psychiatry, Amsterdam UMC, Locatie VUmc, VU University Amsterdam, Amsterdam, the Netherlands; Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
| | - N J A van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden, the Netherlands; Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands
| | - A Aleman
- University Medical Center Groningen, Department of Neuroscience, Cognitive Neuroscience Center, University of Groningen, Groningen, the Netherlands; Department of Psychology, University of Groningen, Groningen, the Netherlands
| | - B W J H Penninx
- Department of Psychiatry, Amsterdam UMC, Locatie VUmc, VU University Amsterdam, Amsterdam, the Netherlands
| | - D J Veltman
- Department of Psychiatry, Amsterdam UMC, Locatie VUmc, VU University Amsterdam, Amsterdam, the Netherlands
| | - R A Schoevers
- University Medical Center Groningen, University Center for Psychiatry, Mood and Anxiety Disorders, University of Groningen, Groningen, the Netherlands; Interdisciplinary Center Psychopathology and Emotion regulation (ICPE), University Medical Center Groningen, University of Groningen, Groningen, the Netherlands; University of Groningen, Research School of Behavioural and Cognitive Neurosciences (BCN), Groningen, the Netherlands
| | - H G Ruhé
- University Medical Center Groningen, University Center for Psychiatry, Mood and Anxiety Disorders, University of Groningen, Groningen, the Netherlands; Department of Psychiatry, Amsterdam UMC, Locatie AMC, University of Amsterdam, Amsterdam, the Netherlands; Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands.
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Liu K, Zhao X, Lu X, Zhu X, Chen H, Wang M, Yan W, Jing L, Deng Y, Yu L, Wu H, Wen G, Sun X, Lv Z. Effect of selective serotonin reuptake inhibitor on prefrontal-striatal connectivity is dependent on the level of TNF-α in patients with major depressive disorder. Psychol Med 2019; 49:2608-2616. [PMID: 30520409 DOI: 10.1017/s0033291718003616] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
BACKGROUND We hypothesize that the tumor necrosis factor-α (TNF-α) may play a role in disturbing the effect of selective serotonin reuptake inhibitor (SSRI) on the striatal connectivity in patients with major depressive disorder (MDD). METHODS We performed a longitudinal observation by combining resting-state functional magnetic resonance imaging (rs-fMRI) and biochemical analyses to identify the abnormal striatal connectivity in MDD patients, and to evaluate the effect of TNF-α level on these abnormal connectivities during SSRI treatment. Eighty-five rs-fMRI scans were collected from 25 MDD patients and 35 healthy controls, and the scans were repeated for all the patients before and after a 6-week SSRI treatment. Whole-brain voxel-wise functional connectivity (FC) was calculated by correlating the rs-fMRI time courses between each voxel and the striatal seeds (i.e. spherical regions placed at the striatums). The level of TNF-α in serum was evaluated by Milliplex assay. Factorial analysis was performed to assess the interaction effects of 'TNF-α × treatment' in the regions with between-group FC difference. RESULTS Compared with controls, MDD patients showed significantly higher striatal FC in the medial prefrontal cortex (MPFC) and bilateral middle/superior temporal cortices before SSRI treatment (p < 0.001, uncorrected). Moreover, a significant interaction effect of 'TNF-α × treatment' was found in MPFC-striatum FC in MDD patients (p = 0.002), and the significance remained after adjusted for age, gender, head motion, and episode of disease. CONCLUSION These findings provide evidence that treatment-related brain connectivity change is dependent on the TNF-α level in MDD patients, and the MPFC-striatum connectivities possibly serve as an important target in the brain.
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Affiliation(s)
- Kai Liu
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
- Medical Imaging Department, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiaohua Zhao
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Xiaobing Lu
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Xiaoxia Zhu
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Hui Chen
- Medical Imaging Department, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Mengmeng Wang
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Weixin Yan
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Linlin Jing
- TCM Integrated Hospital of Southern Medical University, Southern Medical University, Guangzhou, China
| | - Yanjia Deng
- Medical Imaging Department, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Lin Yu
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Huawang Wu
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Ge Wen
- Medical Imaging Department, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xuegang Sun
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
- Key Laboratory of Ministry of Education for TCM Viscera-State Theory and Applications, Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Zhiping Lv
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
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Functional connectivity of reflective and brooding rumination in depressed and healthy women. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2019; 18:884-901. [PMID: 29949111 DOI: 10.3758/s13415-018-0611-7] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Ruminative thinking is related to an increased risk for major depressive disorder (MDD) and perpetuates negative mood states. Rumination, uncontrollable negative thoughts about the self, may comprise both reflective and brooding components. However, only brooding rumination is consistently associated with increased negativity bias and negative coping styles, while reflective rumination has a less clear relationship with negative outcomes in healthy and depressed participants. The current study examined seed-to-voxel (S2.V) resting-state functional connectivity (FC) in a sample of healthy (HC) and depressed (MDD) adult women (HC: n=50, MDD: n=33). The S2V FC of six key brain regions, including the left and right amygdala, anterior and posterior cingulate cortex (ACC, PCC), and medial and dorsolateral prefrontal cortices (mPFC, dlPFC), was correlated with self-reported reflective and brooding rumination. Results indicate that HC and MDD participants had increased brooding rumination associated with decreased FC between the left amygdala and the right temporal pole. Moreover, reflective rumination was associated with distinct FC of the mPFC, PCC, and ACC with parietal, occipital, and cingulate regions. Depressed participants, compared with HC, exhibited decreased FC between the PCC and a region in the right middle frontal gyrus. The results of the current study add to the understanding of the neural underpinnings of different forms of self-related cognition-brooding and reflective rumination-in healthy and depressed women.
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McDonough IM, Allen RS. Biological markers of aging and mental health: A seed and soil model of neurocognitive disorders. Aging Ment Health 2019; 23:793-799. [PMID: 30449142 DOI: 10.1080/13607863.2018.1531383] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
As the population of the world gets older, cognitive and mental health decline in older adults has become one of the most pressing scientific problems of the 21st century. It has been well-established that multiple pathways exist that can lead to future cognitive decline and the development of age-related mental health conditions. Making matters more complicated is the fact that aging is not a homogenous or simple process; rather, each person brings a diverse set of circumstances to the table, leading to differences in biologically aging. Research is needed to identify how the intersection of environmental and biological factors may protect older adults or put them at future risk for cognitive decline and the development of age-related mental health conditions. Furthermore, each potential factor may impact different domains of cognition and mental health or may impact individuals differentially based on genetic, environmental, social, emotional, and behavioral factors. Neuroimaging is one key tool that can be used to discover and assess markers of cognitive and mental health. The goal of this special issue is to expand the science on how biological markers can aid the understanding of aging and mental health through the lens of the individual from an international perspective, representing Germany, Taiwan, Thailand, the United Kingdom, and the United States. Common themes from these articles are used to support the new Seed and Soil Model of Neurocognitive Disorders.
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Affiliation(s)
- Ian M McDonough
- a Department of Psychology , The University of Alabama , Tuscaloosa , AL , USA.,b Alabama Research Institute on Aging, The University of Alabama , Tuscaloosa , AL , USA
| | - Rebecca S Allen
- b Alabama Research Institute on Aging, The University of Alabama , Tuscaloosa , AL , USA.,c Department of Psychology , The University of Alabama , Tuscaloosa , AL , USA
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Villafaina S, Sitges C, Collado-Mateo D, Fuentes-García JP, Gusi N. Influence of depressive feelings in the brain processing of women with fibromyalgia: An EEG study. Medicine (Baltimore) 2019; 98:e15564. [PMID: 31083224 PMCID: PMC6531145 DOI: 10.1097/md.0000000000015564] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Depression is one of the most common mental health problems which affects more than 10% of the global population. The prevalence of this disorder is higher in fibromyalgia patients. However, the influence of the combination of depression and fibromyalgia in the brain processing is poorly understood.To explore the modifications of EEG power spectrum in women with fibromyalgia when depressive feelings are elicited.Twenty eight women with fibromyalgia participated in this cross-sectional study. They were classified as women with depression or women without depression according to the score in the Geriatric Depression Scale. This questionnaire was used to elicit depression symptoms during the EEG recording. Analyses were performed with the standardized LOw Resolution Electric Tomography (sLORETA) software. Power spectrum were compared in the following frequency bands: delta, theta, alpha-1, alpha-2, beta-1, beta-2, and beta-3.Fibromyalgia patients with untreated depression showed a hypoactivation of the left hemisphere when compared with fibromyalgia patients without depression. In addition, when compared fibromyalgia patients without depression and women with both fibromyalgia and depression who were taking antidepressant medications, differences in EEG power spectrum in the studied frequency bands were not found.The current study contributes to the understanding on the influence of the combination of fibromyalgia and depression in the brain activity patterns. Patients with untreated depression showed a hypoactivation of the left hemisphere while eliciting depression symptoms. However, further research is needed, antidepressant medication might reduce the differences between patients with depression and those who do not suffer from depression symptoms.
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Affiliation(s)
- Santos Villafaina
- Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Science, University of Extremadura
- EXERNET Research Network on Exercise and Health in Special Populations
| | - Carolina Sitges
- Balearic Islands Health Research Institute (IdISBa), Research Institute on Health Sciences (IUNICS), University of Balearic Islands (UIB
| | - Daniel Collado-Mateo
- Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Science, University of Extremadura
- EXERNET Research Network on Exercise and Health in Special Populations
- Facultad de Educación, Universidad Autónoma de Chile, Talca, Chile
| | | | - Narcis Gusi
- Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Science, University of Extremadura
- EXERNET Research Network on Exercise and Health in Special Populations
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Liu CH, Tang LR, Gao Y, Zhang GZ, Li B, Li M, Woelfer M, Martin W, Wang L. Resting-state mapping of neural signatures of vulnerability to depression relapse. J Affect Disord 2019; 250:371-379. [PMID: 30877860 DOI: 10.1016/j.jad.2019.03.022] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Revised: 12/21/2018] [Accepted: 03/04/2019] [Indexed: 01/17/2023]
Abstract
BACKGROUND Patients with major depressive disorder (MDD) can frequently develop new depressive episodes after remission. However, the neural mechanisms underlying the increased risk for depressive relapse remain unclear. Herein, we aimed to explore whether the specific changes to regional and inter-regional spontaneous brain activities within DMN are associated with the course of episodes in pooled MDD patients. METHODS Resting-state functional magnetic resonance imaging was performed on patients with single-episode MDD (SEMDD, n = 30) and multiple-episode MDD (MEMDD, n = 54), and 71 age-, gender-, and educational level-matched healthy controls (HCs). We then accessed the differences in both the fractional amplitude of low-frequency fluctuations (fALFF) and functional connectivity by using the right precuneus as the seed among different groups. RESULTS Compared to the MEMDD and HC groups, the SEMDD group exhibited increased fALFF values in the right subgenual anterior cingulate cortex and right middle temporal gyrus. Decreased fALFF values in the right thalamus in the MEMDD group were also identified relative to the SEMDD and HC group. The peak values of fALFF in the right precuneus showed a negative correlation with the number of depressive episodes across the entire pool of MDD patients. No correlation was identified between functional connectivity using the right precuneus as the seed and the number of depressive episodes for the pooled MDD patients. LIMITATIONS Medication, a relatively small sample size, and hypothesis driven study. CONCLUSIONS Our neuroimaging results identified depression relapse-associated neural signatures and also indicated the role of reduced emotional appraisals in the thalamus. It is now possible to believe that the regional activity not inter-regional connectivity within the DMN may be involved in the pathology of depression relapse.
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Affiliation(s)
- Chun-Hong Liu
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese Medicine, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing 100010, China; Department of Radiology and Psychiatry, Beijing Anding Hospital, Capital Medical University, Beijing, China.
| | - Li-Rong Tang
- Department of Radiology and Psychiatry, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Yue Gao
- Department of Radiology and Psychiatry, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Guang-Zhong Zhang
- Dermatological Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing 100010, China
| | - Bin Li
- Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing 100010, China
| | - Meng Li
- Clinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Marie Woelfer
- Clinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, Germany; Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA
| | - Walter Martin
- Clinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, Germany; Department of Psychiatry, University of Tuebingen, Tubeingen, Germany
| | - Lihong Wang
- Department of Psychiatry, University of Connecticut Health Center, Farmington, CT 06030, USA
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Becker SP, Willcutt EG. Advancing the study of sluggish cognitive tempo via DSM, RDoC, and hierarchical models of psychopathology. Eur Child Adolesc Psychiatry 2019; 28:603-613. [PMID: 29524018 PMCID: PMC6131087 DOI: 10.1007/s00787-018-1136-x] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Accepted: 02/23/2018] [Indexed: 02/06/2023]
Abstract
Sluggish cognitive tempo (SCT) is separable from attention-deficit/hyperactivity disorder (ADHD) and other psychopathologies, and growing evidence demonstrates SCT to be associated with impairment in both children and adults. However, it remains unclear how SCT should optimally be conceptualized. In this article, we argue that multiple models of psychopathology should be leveraged to make substantive advances to our understanding of SCT. Both categorical and dimensional approaches should be used, including the Diagnostic and Statistical Manual of Mental Disorders (DSM) nosology, the Research Domain Criteria (RDoC) initiative, and hierarchical models of psychopathology. Studies are needed to determine whether individuals categorized with SCT can be reliably identified and differentiated from individuals without SCT in pathophysiological, neuropsychological, behavioral, and daily life functioning. Studies are also needed to evaluate the validity and utility of SCT as a transdiagnostic and dimensional construct. In considering SCT as a dimensional and potentially transdiagnostic construct, we describe ways in which SCT might be examined within the RDoC framework, including negative valence systems, cognitive systems, and arousal/regulatory systems, as well as within hierarchical models of psychopathology. Conceptualizing SCT within both categorical and dimensional models of psychopathology will help to better understand the causes, developmental pathways, and clinical implications of SCT, both as a construct in its own right and also in relation to other psychopathologies.
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Affiliation(s)
- Stephen P Becker
- Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children's Hospital Medical Center, Cincinnati, USA.
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, USA.
- Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue MLC 10006, Cincinnati, OH, 45229, USA.
| | - Erik G Willcutt
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, USA
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Liu CH, Zhang GZ, Li B, Li M, Woelfer M, Walter M, Wang L. Role of inflammation in depression relapse. J Neuroinflammation 2019; 16:90. [PMID: 30995920 PMCID: PMC6472093 DOI: 10.1186/s12974-019-1475-7] [Citation(s) in RCA: 86] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Accepted: 04/01/2019] [Indexed: 12/13/2022] Open
Abstract
Major depressive disorder (MDD) is a leading cause of disability worldwide. After the first episode, patients with remitted MDD have a 60% chance of experiencing a second episode. Consideration of therapy continuation should be viewed in terms of the balance between the adverse effects of medication and the need to prevent a possible relapse. Relapse during the early stages of MDD could be prevented more efficiently by conducting individual risk assessments and providing justification for continuing therapy. Our previous work established the neuroimaging markers of relapse by comparing patients with recurrent major depressive disorder (rMDD) in depressive and remitted states. However, it is not known which of these markers are trait markers that present before initial relapse and, consequently, predict disease course. Here, we first describe how inflammation can be translated to subtype-specific clinical features and suggest how this could be used to facilitate clinical diagnosis and treatment. Next, we address the central and peripheral functional state of the immune system in patients with MDD. In addition, we emphasize the important link between the number of depressive episodes and rMDD and use neuroimaging to propose a model for the latter. Last, we address how inflammation can affect brain circuits, providing a possible mechanism for rMDD. Our review suggests a link between inflammatory processes and brain region/circuits in rMDD.
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Affiliation(s)
- Chun-Hong Liu
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese Medicine, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing, 100010, China
| | - Guang-Zhong Zhang
- Dermatological Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Bin Li
- Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Meng Li
- Clinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, 39120, Germany
| | - Marie Woelfer
- Clinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, 39120, Germany.,Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, 07102, USA
| | - Martin Walter
- Clinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, 39120, Germany.,Department of Psychiatry and Psychotherapy, University of Tuebingen, Tubeingen, 72074, Germany.,Leibniz Institute for Neurobiology, Magdeburg, 39118, Germany
| | - Lihong Wang
- Department of Psychiatry, University of Connecticut Health Center, Farmington, CT, 06030, USA.
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69
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Figueroa CA, Cabral J, Mocking RJT, Rapuano KM, van Hartevelt TJ, Deco G, Expert P, Schene AH, Kringelbach ML, Ruhé HG. Altered ability to access a clinically relevant control network in patients remitted from major depressive disorder. Hum Brain Mapp 2019; 40:2771-2786. [PMID: 30864248 PMCID: PMC6865599 DOI: 10.1002/hbm.24559] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2018] [Revised: 01/30/2019] [Accepted: 02/21/2019] [Indexed: 01/01/2023] Open
Abstract
Neurobiological models to explain vulnerability of major depressive disorder (MDD) are scarce and previous functional magnetic resonance imaging studies mostly examined “static” functional connectivity (FC). Knowing that FC constantly evolves over time, it becomes important to assess how FC dynamically differs in remitted‐MDD patients vulnerable for new depressive episodes. Using a recently developed method to examine dynamic FC, we characterized re‐emerging FC states during rest in 51 antidepressant‐free MDD patients at high risk of recurrence (≥2 previous episodes), and 35 healthy controls. We examined differences in occurrence, duration, and switching profiles of FC states after neutral and sad mood induction. Remitted MDD patients showed a decreased probability of an FC state (p < 0.005) consisting of an extensive network connecting frontal areas—important for cognitive control—with default mode network, striatum, and salience areas, involved in emotional and self‐referential processing. Even when this FC state was observed in patients, it lasted shorter (p < 0.005) and was less likely to switch to a smaller prefrontal–striatum network (p < 0.005). Differences between patients and controls decreased after sad mood induction. Further, the duration of this FC state increased in remitted patients after sad mood induction but not in controls (p < 0.05). Our findings suggest reduced ability of remitted‐MDD patients, in neutral mood, to access a clinically relevant control network involved in the interplay between externally and internally oriented attention. When recovering from sad mood, remitted recurrent MDD appears to employ a compensatory mechanism to access this FC state. This study provides a novel neurobiological profile of MDD vulnerability.
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Affiliation(s)
- Caroline A Figueroa
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Brain Imaging Center, Academic Medical Center, Amsterdam, The Netherlands.,School of Social Welfare, University of California Berkeley, Berkeley, California
| | - Joana Cabral
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom.,Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.,Center for Music in the Brain, Aarhus University, Aarhus, Denmark
| | - Roel J T Mocking
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Brain Imaging Center, Academic Medical Center, Amsterdam, The Netherlands
| | - Kristina M Rapuano
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire
| | | | - Gustavo Deco
- Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.,Institució Catalana de la Recerca i Estudis Avançats (ICREA), Barcelona, Spain.,Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Paul Expert
- Centre for Mathematics of Precision Healthcare, Imperial College London, London, United Kingdom.,Department of Mathematics, Imperial College London, London, United Kingdom
| | - Aart H Schene
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Morten L Kringelbach
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom.,Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.,Center for Music in the Brain, Aarhus University, Aarhus, Denmark
| | - Henricus G Ruhé
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.,Department of Psychiatry, University of Oxford, Oxford, United Kingdom.,Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
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70
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Kertz SJ, Petersen DR, Stevens KT. Cognitive and attentional vulnerability to depression in youth: A review. Clin Psychol Rev 2019; 71:63-77. [PMID: 30732975 DOI: 10.1016/j.cpr.2019.01.004] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2017] [Revised: 01/08/2019] [Accepted: 01/22/2019] [Indexed: 12/14/2022]
Abstract
Although depressive disorders are among the most common disorders in youth, highly efficacious treatments for childhood affective disorders are lacking. There is significant need to better understand the factors that contribute to the development and maintenance of depression in youth so that treatments can be targeted at optimal mechanisms. The aim of the current paper was to synthesize research on cognitive and neurobiological factors associated with youth depression, guided by De Raedt and Koster's model (2010) for vulnerability to depression in adults. Consistent with model predictions, there is evidence that attentional impairments are greatest in the context of negative information, relative to positive or neutral information, and some evidence that attentional deficits are associated with rumination in depressed youth. However, we found little evidence for the model's assumption that attentional bias is an etiological and maintenance factor for depression. There are several other model predictions that require additional study as current data are lacking. Overall, De Raedt and Koster's (2010) integrative cognitive and biological framework has tremendous potential to move the field forward in understanding the development of depression in youth. Additional longitudinal studies incorporating measures across biological and cognitive levels of analysis are needed.
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Affiliation(s)
- Sarah J Kertz
- Southern Illinois University, Carbondale, United States.
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71
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Victoria LW, Alexopoulos GS, Ilieva I, Stein AT, Hoptman MJ, Chowdhury N, Respino M, Morimoto SS, Kanellopoulos D, Avari JN, Gunning FM. White matter abnormalities predict residual negative self-referential thinking following treatment of late-life depression with escitalopram: A preliminary study. J Affect Disord 2019; 243:62-69. [PMID: 30236759 PMCID: PMC6186199 DOI: 10.1016/j.jad.2018.09.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Revised: 08/03/2018] [Accepted: 09/09/2018] [Indexed: 12/31/2022]
Abstract
BACKGROUND Negative self-referential thinking is a common symptom of depression associated with poor treatment response. In late-life depression, white matter abnormalities may contribute to negative self-referential thoughts following antidepressant treatment. We investigated the association of fractional anisotropy (FA) in select regions of the negative valence system (NVS) with residual negative self-referential thoughts following treatment with escitalopram for late-life depression. METHODS The participants were older adults with major depression and psychiatrically normal controls. Depressed participants received 12 weeks of treatment with escitalopram. To assess self-referential thinking, participants completed a Trait Adjective Task at baseline and at week 12. Baseline MRI scans included a diffusion imaging sequence for FA analyses. RESULTS Participants with late-life depression differed from controls on all performance measures of the Trait Adjective Task at baseline and at 12 weeks. Depressed participants endorsed fewer negative personality traits and more positive personality traits at week 12 compared to baseline. Lower FA in the dorsal anterior cingulate and in the uncinate fasciculus in depressed participants was correlated with residual negative self-referential thinking (e.g., more endorsed negative adjectives, fewer rejected negative adjectives) at treatment end. LIMITATIONS The sample size is modest so the findings are preliminary. FA analyses were restricted to predetermined regions. CONCLUSIONS Negative self-referential thinking improved in depressed older adults following 12 weeks of treatment with escitalopram. Baseline FA in select white matter regions of the NVS was associated with residual negative self-referential thinking. These findings may help identify treatment targets for residual negative self-referential thoughts.
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Affiliation(s)
- Lindsay W Victoria
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, 21 Bloomingdale Road, White Plains, NY, United States.
| | - George S Alexopoulos
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, 21 Bloomingdale Road, White Plains, NY, United States
| | - Irena Ilieva
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, 21 Bloomingdale Road, White Plains, NY, United States
| | - Aliza T Stein
- Department of Psychology, University of Texas at Austin, Austin, TX, United States
| | - Matthew J Hoptman
- Schizophrenia Research Division, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States; Department of Psychiatry, New York University School of Medicine, New York, NY, United States
| | - Naib Chowdhury
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, 21 Bloomingdale Road, White Plains, NY, United States
| | - Matteo Respino
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, 21 Bloomingdale Road, White Plains, NY, United States
| | - Sarah Shizuko Morimoto
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, United States
| | - Dora Kanellopoulos
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, 21 Bloomingdale Road, White Plains, NY, United States
| | - Jimmy N Avari
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, 21 Bloomingdale Road, White Plains, NY, United States
| | - Faith M Gunning
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, 21 Bloomingdale Road, White Plains, NY, United States
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72
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Apazoglou K, Küng AL, Cordera P, Aubry JM, Dayer A, Vuilleumier P, Piguet C. Rumination related activity in brain networks mediating attentional switching in euthymic bipolar patients. Int J Bipolar Disord 2019; 7:3. [PMID: 30637531 PMCID: PMC6330377 DOI: 10.1186/s40345-018-0137-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2018] [Accepted: 10/22/2018] [Indexed: 12/13/2022] Open
Abstract
Introduction Mood disorder patients have a tendency to be more internally oriented, with difficulties in switching attentional focus, which might result in the generation of negative thoughts, such as rumination. The present study explored self-referential neural activity correlating with rumination tendency and attentional switching capacity in bipolar disorder. Methods Twenty euthymic bipolar patients and twenty matched healthy controls underwent a novel introspection task of switching between internally and externally focused attention during a word processing task, while their brain activity was assessed using functional MRI. Results During internal focus, higher activity in self-related regions (mPFC, PCC) was found in euthymic bipolar patients as compared to controls, verifying the hypothesis of exaggerated recruitment of self-referential processes in bipolar subjects. Switching from internal to external focus revealed higher parahippocampal activity in patients as compared to controls, additionally more pronounced when switching away from negative as compared to positive self-referential information. Furthermore, rumination traits correlated with activity in PCC, subgenual and pregenual ACC, and bilateral anterior insula during repetition of internal focus, specifically when evaluating negative words. Finally, we used ACC subregions that correlated with tendency to ruminate as seeds for a whole brain connectivity analysis. Patients showed stronger connectivity between sgACC (seed), pgACC, dPFC, and anterior insula during internal focus, whereas pgACC (seed) was more strongly connected to parahippocampal gyrus when switching from internal to external focus. Conclusions These findings reveal an overactive rumination-related network whose activity is enhanced by negative information in euthymic bipolar patients, which could possibly contribute to impaired switching of thoughts away from internal attention. Electronic supplementary material The online version of this article (10.1186/s40345-018-0137-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Kallia Apazoglou
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
| | - Anne-Lise Küng
- Department of Mental Health and Psychiatry, University Hospital of Geneva, Geneva, Switzerland
| | - Paolo Cordera
- Department of Mental Health and Psychiatry, University Hospital of Geneva, Geneva, Switzerland
| | - Jean-Michel Aubry
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Department of Mental Health and Psychiatry, University Hospital of Geneva, Geneva, Switzerland
| | - Alexandre Dayer
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Department of Mental Health and Psychiatry, University Hospital of Geneva, Geneva, Switzerland.,Department of Neuroscience, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Patrik Vuilleumier
- Department of Neuroscience, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Camille Piguet
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Department of Mental Health and Psychiatry, University Hospital of Geneva, Geneva, Switzerland
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73
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Temperamental factors in remitted depression: The role of effortful control and attentional mechanisms. J Affect Disord 2018; 235:499-505. [PMID: 29684864 DOI: 10.1016/j.jad.2018.04.064] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Revised: 03/15/2018] [Accepted: 04/07/2018] [Indexed: 12/27/2022]
Abstract
BACKGROUND Temperamental effortful control and attentional networks are increasingly viewed as important underlying processes in depression and anxiety. However, it is still unknown whether these factors facilitate depressive and anxiety symptoms in the general population and, more specifically, in remitted depressed individuals. METHODS We investigated to what extent effortful control and attentional networks (i.e., Attention Network Task) explain concurrent depressive and anxious symptoms in healthy individuals (n = 270) and remitted depressed individuals (n = 90). Both samples were highly representative of the US population. RESULTS Increased effortful control predicted a substantial decrease in symptoms of both depression and anxiety in the whole sample, whereas decreased efficiency of executive attention predicted a modest increase in depressive symptoms. Remitted depressed individuals did not show less effortful control nor less efficient attentional networks than healthy individuals. Moreover, clinical status did not moderate the relationship between temperamental factors and either depressive or anxiety symptoms. LIMITATIONS Limitations include the cross-sectional nature of the study. CONCLUSIONS Our study shows that temperamental effortful control represents an important transdiagnostic process for depressive and anxiety symptoms in adults.
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74
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Knyazev GG, Savostyanov AN, Bocharov AV, Brak IV, Osipov EA, Filimonova EA, Saprigyn AE, Aftanas LI. Task-positive and task-negative networks in major depressive disorder: A combined fMRI and EEG study. J Affect Disord 2018; 235:211-219. [PMID: 29656269 DOI: 10.1016/j.jad.2018.04.003] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2017] [Revised: 02/23/2018] [Accepted: 04/02/2018] [Indexed: 10/17/2022]
Abstract
BACKGROUND The study of intrinsic connectivity networks, i.e., sets of brain regions that show a high degree of interconnectedness even in the absence of a task, showed that major depressive disorder (MDD) patients demonstrate an increased connectivity within the default mode network (DMN), which is active in a resting state and is implicated in self-referential processing, and a decreased connectivity in task-positive networks (TPNs), which increase their activity in attention tasks. Cortical localization of this 'dominance' of the DMN over the TPN in MDD patients is not fully understood. Besides, this effect has been investigated using fMRI and its electrophysiological underpinning is not known. METHOD In this study, we tested the dominance hypothesis using seed-based connectivity analysis of resting-state fMRI and EEG data obtained in 41 MDD patients and 23 controls. RESULTS In MDD patients, as compared to controls, insula, pallidum/putamen, amygdala, and left dorso- and ventrolateral prefrontal cortex are more strongly connected with DMN than with TPN seeds. In EEG, all significant effects were obtained in the delta frequency band. LIMITATIONS fMRI and EEG data were not obtained simultaneously during the same session. CONCLUSIONS In MDD patients, major emotion and attention regulation circuits are more strongly connected with DMN than with TPN implying they are more prepared to respond to internally generated self-related thoughts than to environmental challenges.
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Affiliation(s)
- Gennady G Knyazev
- Laboratory of Psychophysiology of Individual Differences, Institute of Physiology and Basic Medicine, Novosibirsk, Russia.
| | - Alexander N Savostyanov
- Laboratory of Psychophysiology of Individual Differences, Institute of Physiology and Basic Medicine, Novosibirsk, Russia; Humanitarian Institute, Novosibirsk State University, Novosibirsk, Russia
| | - Andrey V Bocharov
- Laboratory of Psychophysiology of Individual Differences, Institute of Physiology and Basic Medicine, Novosibirsk, Russia; Humanitarian Institute, Novosibirsk State University, Novosibirsk, Russia
| | - Ivan V Brak
- Laboratory of Affective and Cognitive Neuroscience, Institute of Physiology and Basic Medicine, Novosibirsk, Russia
| | - Evgeny A Osipov
- Laboratory of Affective and Cognitive Neuroscience, Institute of Physiology and Basic Medicine, Novosibirsk, Russia
| | - Elena A Filimonova
- Laboratory of Affective and Cognitive Neuroscience, Institute of Physiology and Basic Medicine, Novosibirsk, Russia
| | - Alexander E Saprigyn
- Laboratory of Psychophysiology of Individual Differences, Institute of Physiology and Basic Medicine, Novosibirsk, Russia
| | - Lyubomir I Aftanas
- Laboratory of Affective and Cognitive Neuroscience, Institute of Physiology and Basic Medicine, Novosibirsk, Russia; Department of Neuroscience, Novosibirsk State University, Novosibirsk, Russia
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75
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Resting-state connectivity and spontaneous activity of ventromedial prefrontal cortex predict depressive symptomology and peripheral inflammation in HIV. J Neurovirol 2018; 24:616-628. [PMID: 30022427 DOI: 10.1007/s13365-018-0658-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Revised: 05/16/2018] [Accepted: 06/11/2018] [Indexed: 02/05/2023]
Abstract
Depression and chronic inflammation are common in persons infected with the human immunodeficiency virus (HIV+). Although depression and response to inflammatory challenge are shown to reflect activity in common neural networks, little is known regarding sub-clinical presentation in persons chronically infected with HIV. The relationship of resting-state functional connectivity (rsFC) between the subgenual anterior cingulate cortex (sgACC) and bilateral amygdala to Beck Depression Inventory-1 (BDI) scores were compared within a group of 23 HIV+ and 23 HIV-negative comparison adults. An interaction was found wherein lower rsFC between the sgACC and both right and left amygdala was associated with higher BDI scores in HIV+ individuals. Total BDI scores and plasma levels of IL-6, IL-8, TNF-α, and IL-10 made available from 10 of the HIV+ patients were regressed upon an index of spontaneous whole-brain activity at rest; i.e., the amplitude of low-frequency fluctuations (ALFFs). Elevated levels of depression and IL-6 were associated with increased ALFF in a cluster of voxels on the medial portion of the ventral surface of the frontal lobe (Brodmann Area 11). Within this sample of HIV+ individuals lower rsFC of the sgACC with subcortical limbic regions predicts greater burden of depressive symptomology whereas elevated activity in the adjacent BA 11 may reflect sickness, indexed by elevated IL-6, and associated depressive behaviors.
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76
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van der Meer D, Hartman CA, Pruim RHR, Mennes M, Heslenfeld D, Oosterlaan J, Faraone SV, Franke B, Buitelaar JK, Hoekstra PJ. The interaction between 5-HTTLPR and stress exposure influences connectivity of the executive control and default mode brain networks. Brain Imaging Behav 2018; 11:1486-1496. [PMID: 27738993 PMCID: PMC5653701 DOI: 10.1007/s11682-016-9633-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
We recently reported that the serotonin transporter polymorphism 5-HTTLPR moderates the relation between stress exposure and attention-deficit/hyperactivity disorder (ADHD) severity. This gene-environment interaction (GxE) has been previously tied to the processing of emotional stimuli, which is increasingly recognized to be a key factor in ADHD-related impairment. The executive control and default mode brain networks play an important role in the regulation of emotion processing, and altered connectivity of these networks has also been associated with ADHD. We therefore investigated whether resting-state connectivity of either of these networks mediates the relation of 5-HTTLPR and stress exposure with ADHD severity. Resting-state functional magnetic resonance imaging, genetic, and stress exposure questionnaire data was available for 425 adolescents and young adults (average age 17.2 years). We found that 5-HTTLPR S-allele carriers showed a more negative relation between stress exposure and connectivity of the executive control network than L-allele homozygotes, specifically in the pre/postcentral gyrus, striatum, and frontal pole. In the default mode network, we found a positive association between the GxE and supramarginal gyrus connectivity. Connectivity of either network did not significantly mediate the effect of this GxE on ADHD. Opposite effects of stress exposure on connectivity in the executive and default mode networks may contribute to findings that stress exposure is associated with lowered cognitive control and heightened levels of rumination and worrying, for S-allele carriers but not L-allele homozygotes. When combined, these effects on connectivity of both networks may relate to the emotional problems seen in individuals with ADHD.
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Affiliation(s)
- Dennis van der Meer
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, P.O. Box 30001, 9700 RB, Groningen, The Netherlands.
| | - Catharina A Hartman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, P.O. Box 30001, 9700 RB, Groningen, The Netherlands
| | - Raimon H R Pruim
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, The Netherlands.,Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, The Netherlands
| | - Maarten Mennes
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, The Netherlands.,Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, The Netherlands
| | - Dirk Heslenfeld
- Department of Clinical Neuropsychology, VU University Amsterdam, Amsterdam, the Netherlands
| | - Jaap Oosterlaan
- Department of Clinical Neuropsychology, VU University Amsterdam, Amsterdam, the Netherlands
| | - Stephen V Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, USA.,K.G. Jebsen Centre for Psychiatric Disorders, Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Barbara Franke
- Departments of Human Genetics and Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, The Netherlands
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, The Netherlands.,Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, The Netherlands.,Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands
| | - Pieter J Hoekstra
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, P.O. Box 30001, 9700 RB, Groningen, The Netherlands
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77
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Geng H, Wang Y, Gu R, Luo YJ, Xu P, Huang Y, Li X. Altered brain activation and connectivity during anticipation of uncertain threat in trait anxiety. Hum Brain Mapp 2018; 39:3898-3914. [PMID: 29882617 DOI: 10.1002/hbm.24219] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Revised: 04/29/2018] [Accepted: 05/08/2018] [Indexed: 01/23/2023] Open
Abstract
In the research field of anxiety, previous studies generally focus on emotional responses following threat. A recent model of anxiety proposes that altered anticipation prior to uncertain threat is related with the development of anxiety. Behavioral findings have built the relationship between anxiety and distinct anticipatory processes including attention, estimation of threat, and emotional responses. However, few studies have characterized the brain organization underlying anticipation of uncertain threat and its role in anxiety. In the present study, we used an emotional anticipation paradigm with functional magnetic resonance imaging (fMRI) to examine the aforementioned topics by employing brain activation and general psychophysiological interactions (gPPI) analysis. In the activation analysis, we found that high trait anxious individuals showed significantly increased activation in the thalamus, middle temporal gyrus (MTG), and dorsomedial prefrontal cortex (dmPFC), as well as decreased activation in the precuneus, during anticipation of uncertain threat compared to the certain condition. In the gPPI analysis, the key regions including the amygdala, dmPFC, and precuneus showed altered connections with distributed brain areas including the ventromedial prefrontal cortex (vmPFC), dorsolateral prefrontal cortex (dlPFC), inferior parietal sulcus (IPS), insula, para-hippocampus gyrus (PHA), thalamus, and MTG involved in anticipation of uncertain threat in anxious individuals. Taken together, our findings indicate that during the anticipation of uncertain threat, anxious individuals showed altered activations and functional connectivity in widely distributed brain areas, which may be critical for abnormal perception, estimation, and emotion reactions during the anticipation of uncertain threat.
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Affiliation(s)
- Haiyang Geng
- Key laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, 10049, China.,Shenzhen Key Laboratory of Affective and Social Cognitive Science, Shenzhen University, Shenzhen, 518060, China.,Center for Emotion and Brain, Shenzhen Institute of Neuroscience, Shenzhen, 518057, China.,BCN Neuroimaging Center, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Yi Wang
- Key laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, 10049, China
| | - Ruolei Gu
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 10049, China.,Key laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100875, China
| | - Yue-Jia Luo
- Shenzhen Key Laboratory of Affective and Social Cognitive Science, Shenzhen University, Shenzhen, 518060, China.,Center for Emotion and Brain, Shenzhen Institute of Neuroscience, Shenzhen, 518057, China
| | - Pengfei Xu
- Shenzhen Key Laboratory of Affective and Social Cognitive Science, Shenzhen University, Shenzhen, 518060, China
| | - Yuxia Huang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Xuebing Li
- Key laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, 10049, China
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78
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Data-Driven Clustering Reveals a Link Between Symptoms and Functional Brain Connectivity in Depression. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2018; 4:16-26. [PMID: 29980494 DOI: 10.1016/j.bpsc.2018.05.005] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Revised: 05/10/2018] [Accepted: 05/21/2018] [Indexed: 01/01/2023]
Abstract
BACKGROUND Depression is a complex disorder with large interindividual variability in symptom profiles that often occur alongside symptoms of other psychiatric domains, such as anxiety. A dimensional and symptom-based approach may help refine the characterization of depressive and anxiety disorders and thus aid in establishing robust biomarkers. We use resting-state functional magnetic resonance imaging to assess the brain functional connectivity correlates of a symptom-based clustering of individuals. METHODS We assessed symptoms using the Beck Depression and Beck Anxiety Inventories in individuals with or without a history of depression (N = 1084) and high-dimensional data clustering to form subgroups based on symptom profiles. We compared dynamic and static functional connectivity between subgroups in a subset of the total sample (n = 252). RESULTS We identified five subgroups with distinct symptom profiles, which cut across diagnostic boundaries with different total severity, symptom patterns, and centrality. For instance, inability to relax, fear of the worst, and feelings of guilt were among the most severe symptoms in subgroups 1, 2, and 3, respectively. The distribution of individuals was 32%, 25%, 22%, 10%, and 11% in subgroups 1 to 5, respectively. These subgroups showed evidence of differential static brain-connectivity patterns, in particular comprising a frontotemporal network. In contrast, we found no significant associations with clinical sum scores, dynamic functional connectivity, or global connectivity. CONCLUSIONS Adding to the pursuit of individual-based treatment, subtyping based on a dimensional conceptualization and unique constellations of anxiety and depression symptoms is supported by distinct patterns of static functional connectivity in the brain.
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79
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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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80
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Killgore WDS, Smith R, Olson EA, Weber M, Rauch SL, Nickerson LD. Emotional intelligence is associated with connectivity within and between resting state networks. Soc Cogn Affect Neurosci 2018; 12:1624-1636. [PMID: 28981827 PMCID: PMC5737574 DOI: 10.1093/scan/nsx088] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Accepted: 06/30/2017] [Indexed: 01/06/2023] Open
Abstract
Emotional intelligence (EI) is defined as an individual’s capacity to accurately perceive, understand, reason about, and regulate emotions, and to apply that information to facilitate thought and achieve goals. Although EI plays an important role in mental health and success in academic, professional and social realms, the neurocircuitry underlying this capacity remains poorly characterized, and no study to date has yet examined the relationship between EI and intrinsic neural network function. Here, in a sample of 54 healthy individuals (28 women, 26 men), we apply independent components analysis (ICA) with dual regression to functional magnetic resonance imaging (fMRI) data acquired while subjects were resting in the scanner to investigate brain circuits (intrinsic resting state networks) whose activity is associated with greater self-reported (i.e. Trait) and objectively measured (i.e. Ability) EI. We show that higher Ability EI, but not Trait EI, is associated with stronger negatively correlated spontaneous fMRI signals between the basal ganglia/limbic network (BGN) and posterior default mode network (DMN), and regions involved in emotional processing and regulation. Importantly, these findings suggest that the functional connectivity within and between intrinsic networks associated with mentation, affective regulation, emotion processing, and reward are strongly related to ability EI.
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Affiliation(s)
- William D S Killgore
- Social, Cognitive, and Affective Neuroscience Lab, McLean Hospital, Department of Psychiatry, Harvard Medical School, Belmont, MA, USA.,Department of Psychiatry, University of Arizona, Tucson, AZ, USA
| | - Ryan Smith
- Department of Psychiatry, University of Arizona, Tucson, AZ, USA
| | - Elizabeth A Olson
- Social, Cognitive, and Affective Neuroscience Lab, McLean Hospital, Department of Psychiatry, Harvard Medical School, Belmont, MA, USA
| | - Mareen Weber
- Social, Cognitive, and Affective Neuroscience Lab, McLean Hospital, Department of Psychiatry, Harvard Medical School, Belmont, MA, USA
| | - Scott L Rauch
- Social, Cognitive, and Affective Neuroscience Lab, McLean Hospital, Department of Psychiatry, Harvard Medical School, Belmont, MA, USA
| | - Lisa D Nickerson
- Social, Cognitive, and Affective Neuroscience Lab, McLean Hospital, Department of Psychiatry, Harvard Medical School, Belmont, MA, USA
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81
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Shrimpton D, McGann D, Riby LM. Daydream Believer: Rumination, Self-Reflection and the Temporal Focus of Mind Wandering Content. EUROPES JOURNAL OF PSYCHOLOGY 2018; 13:794-809. [PMID: 29358989 PMCID: PMC5763464 DOI: 10.5964/ejop.v13i4.1425] [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: 03/28/2017] [Accepted: 05/18/2017] [Indexed: 11/20/2022]
Abstract
Current research into mind-wandering is beginning to acknowledge that this process is one of heterogeneity. Following on from previous findings highlighting the role of self-focus during mind wandering, the present study aimed to examine individual differences in rumination and self-reflection and the impact such styles of self-focus may have on mind-wandering experiences. Thirty-three participants were required to complete the Sustained Attention Response Task (SART), aimed at inducing mind-wandering episodes, whilst also probing the content of thought in terms of temporal focus. Self-report questionnaires were also administered after the SART to measure dispositional differences in style and beliefs regarding mind-wandering and assessments of individual differences in rumination and self-reflection. Those individuals with reflective self-focus showed a strong positive association with positive and constructive thoughts. Critically, ruminative self-focus was positively associated with a tendency for the mind to wander towards anguished fantasies, failures and aggression, but it was also positively associated with positive and constructive thoughts. Furthermore, while dispositional differences in self-focus showed no relationship with the temporal perspective of thoughts when probed during a cognitive task, performance on the task itself was related to whether participants were thinking about the past, present or future during that activity. Such findings are discussed in line with previous research, and provide a further step towards accounting for the heterogeneous nature of mind-wandering.
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Affiliation(s)
- Daisy Shrimpton
- Department of Psychology, Northumbria University, Newcastle upon Tyne, United Kingdom
| | - Deborah McGann
- Department of Psychology, Northumbria University, Newcastle upon Tyne, United Kingdom
| | - Leigh M Riby
- Department of Psychology, Northumbria University, Newcastle upon Tyne, United Kingdom
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82
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Gao Y, Wang M, Yu R, Li Y, Yang Y, Cui X, Zheng J. Abnormal Default Mode Network Homogeneity in Treatment-Naive Patients With First-Episode Depression. Front Psychiatry 2018; 9:697. [PMID: 30618871 PMCID: PMC6305293 DOI: 10.3389/fpsyt.2018.00697] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Accepted: 11/30/2018] [Indexed: 11/13/2022] Open
Abstract
Background and Objective: The default mode network (DMN) may be an important component involved in the broad-scale cognitive problems seen in patients with first-episode treatment-naive depression. Nevertheless, information is scarce regarding the changes in network homogeneity (NH) found in the DMN of these patients. Therefore, in this study, we explored the NH of the DMN in patients with first-episode treatment-naive depression. Methods: The study included 66 patients and 74 control participants matched by age, gender, educational level and health status who underwent resting-state functional magnetic resonance imaging (rs-fMRI) and the attentional network test (ANT). To assess data, the study utilizes NH and independent component analysis (ICA). Additionally, Spearman's rank correlation analysis is performed among significantly abnormal NH in depression patients and clinical measurements and executive control reaction time (ECRT). Results: In comparison with the control group, patients with first-episode treatment-naive depression showed lower NH in the bilateral angular gyrus (AG), as well as increased NH in the bilateral precuneus (PCu) and posterior cingulate cortex (PCC). Likewise, patients with first-episode treatment-naive depression had longer ECRT. No significant relation was found between abnormal NH values and the measured clinical variables. Conclusions: Our results suggest patients with first-episode treatment-naive depression have abnormal NH values in the DMN. This highlights the significance of DMN in the pathophysiology of cognitive problems in depression. Our study also found alterations in executive functions in patients with first-episode treatment-naive depression.
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Affiliation(s)
- Yujun Gao
- Department of Neurology, The First Affiliated Hospital, Guangxi Medical University, Nanning, China
| | - Menglin Wang
- Department of Otorhinolaryngology and Head and Neck Surgery, The First Affiliated Hospital, Guangxi Medical University, Nanning, China
| | - RenQiang Yu
- Department of Radiology, The First Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Yaping Li
- Department of Neurology, The First Affiliated Hospital, Guangxi Medical University, Nanning, China
| | - Ying Yang
- The First Affiliated Hospital, Guangxi Medical University, Nanning, China
| | - Xiangxiang Cui
- Department of Neurology, The First Affiliated Hospital, Guangxi Medical University, Nanning, China
| | - Jinou Zheng
- Department of Neurology, The First Affiliated Hospital, Guangxi Medical University, Nanning, China
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83
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Karpinski RI, Kinase Kolb AM, Tetreault NA, Borowski TB. High intelligence: A risk factor for psychological and physiological overexcitabilities. INTELLIGENCE 2018. [DOI: 10.1016/j.intell.2017.09.001] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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84
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Bessette KL, Jenkins LM, Skerrett KA, Gowins JR, DelDonno SR, Zubieta JK, McInnis MG, Jacobs RH, Ajilore O, Langenecker SA. Reliability, Convergent Validity and Time Invariance of Default Mode Network Deviations in Early Adult Major Depressive Disorder. Front Psychiatry 2018; 9:244. [PMID: 29937738 PMCID: PMC6002968 DOI: 10.3389/fpsyt.2018.00244] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Accepted: 05/18/2018] [Indexed: 12/17/2022] Open
Abstract
There is substantial variability across studies of default mode network (DMN) connectivity in major depressive disorder, and reliability and time-invariance are not reported. This study evaluates whether DMN dysconnectivity in remitted depression (rMDD) is reliable over time and symptom-independent, and explores convergent relationships with cognitive features of depression. A longitudinal study was conducted with 82 young adults free of psychotropic medications (47 rMDD, 35 healthy controls) who completed clinical structured interviews, neuropsychological assessments, and 2 resting-state fMRI scans across 2 study sites. Functional connectivity analyses from bilateral posterior cingulate and anterior hippocampal formation seeds in DMN were conducted at both time points within a repeated-measures analysis of variance to compare groups and evaluate reliability of group-level connectivity findings. Eleven hyper- (from posterior cingulate) and 6 hypo- (from hippocampal formation) connectivity clusters in rMDD were obtained with moderate to adequate reliability in all but one cluster (ICC's range = 0.50 to 0.76 for 16 of 17). The significant clusters were reduced with a principle component analysis (5 components obtained) to explore these connectivity components, and were then correlated with cognitive features (rumination, cognitive control, learning and memory, and explicit emotion identification). At the exploratory level, for convergent validity, components consisting of posterior cingulate with cognitive control network hyperconnectivity in rMDD were related to cognitive control (inverse) and rumination (positive). Components consisting of anterior hippocampal formation with social emotional network and DMN hypoconnectivity were related to memory (inverse) and happy emotion identification (positive). Thus, time-invariant DMN connectivity differences exist early in the lifespan course of depression and are reliable. The nuanced results suggest a ventral within-network hypoconnectivity associated with poor memory and a dorsal cross-network hyperconnectivity linked to poorer cognitive control and elevated rumination. Study of early course remitted depression with attention to reliability and symptom independence could lead to more readily translatable clinical assessment tools for biomarkers.
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Affiliation(s)
- Katie L Bessette
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States
| | - Lisanne M Jenkins
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States.,Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, United States
| | - Kristy A Skerrett
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, United States
| | - Jennifer R Gowins
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, United States
| | - Sophie R DelDonno
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States
| | - Jon-Kar Zubieta
- Department of Psychiatry, University of Utah, Salt Lake City, UT, United States
| | - Melvin G McInnis
- Department of Psychiatry, University of Michigan Medical Center, Ann Arbor, MI, United States
| | - Rachel H Jacobs
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States.,Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, United States
| | - Olusola Ajilore
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States
| | - Scott A Langenecker
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States
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85
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Servaas MN, Riese H, Renken RJ, Wichers M, Bastiaansen JA, Figueroa CA, Geugies H, Mocking RJT, Geerligs L, Marsman JBC, Aleman A, Schene AH, Schoevers RA, Ruhé HG. Associations Between Daily Affective Instability and Connectomics in Functional Subnetworks in Remitted Patients with Recurrent Major Depressive Disorder. Neuropsychopharmacology 2017; 42:2583-2592. [PMID: 28361870 PMCID: PMC5686496 DOI: 10.1038/npp.2017.65] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Revised: 03/22/2017] [Accepted: 03/24/2017] [Indexed: 12/12/2022]
Abstract
Remitted patients with major depressive disorder (rMDD) often report more fluctuations in mood as residual symptomatology. It is unclear how this affective instability is associated with information processing related to the default mode (DMS), salience/reward (SRS), and frontoparietal (FPS) subnetworks in rMDD patients at high risk of recurrence (rrMDD). Sixty-two unipolar, drug-free rrMDD patients (⩾2 MDD episodes) and 41 healthy controls (HCs) were recruited. We used experience sampling methodology to monitor mood/cognitions (10 times a day for 6 days) and calculated affective instability using the mean adjusted absolute successive difference. Subsequently, we collected resting-state functional magnetic resonance imaging data and performed graph theory to obtain network metrics of integration within (local efficiency) the DMS, SRS, and FPS, and between (participation coefficient) these subnetworks and others. In rrMDD patients compared with HCs, we found that affective instability was increased in most negative mood/cognition variables and that the DMS had less connections with other subnetworks. Furthermore, we found that rrMDD patients, who showed more instability in feeling down and irritated, had less connections between the SRS and other subnetworks and higher local efficiency coefficients in the FPS, respectively. In conclusion, rrMDD patients, compared with HCs, are less stable in their negative mood and these dynamics are related to differences in information processing within- and between-specific functional subnetworks. These results are a first step to gain a better understanding of how mood fluctuations in real life are represented in the brain and provide insights into the vulnerability profile of MDD.
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Affiliation(s)
- Michelle N Servaas
- Department of Psychiatry, Mood and Anxiety Disorders, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Psychiatry, University Medical Center Groningen, Interdisciplinary Center for Psychopathology and Emotion Regulation, University of Groningen, Groningen, The Netherlands
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, Neuroimaging Center, Groningen, The Netherlands
| | - Harriëtte Riese
- Department of Psychiatry, University Medical Center Groningen, Interdisciplinary Center for Psychopathology and Emotion Regulation, University of Groningen, Groningen, The Netherlands
| | - Remco J Renken
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, Neuroimaging Center, Groningen, The Netherlands
| | - Marieke Wichers
- Department of Psychiatry, University Medical Center Groningen, Interdisciplinary Center for Psychopathology and Emotion Regulation, University of Groningen, Groningen, The Netherlands
| | - Jojanneke A Bastiaansen
- Department of Psychiatry, University Medical Center Groningen, Interdisciplinary Center for Psychopathology and Emotion Regulation, University of Groningen, Groningen, The Netherlands
- Department of Education and Research, Friesland Mental Health Care Services, Leeuwarden, The Netherlands
| | - Caroline A Figueroa
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Hanneke Geugies
- Department of Psychiatry, Mood and Anxiety Disorders, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, Neuroimaging Center, Groningen, The Netherlands
| | - Roel JT Mocking
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Linda Geerligs
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Jan-Bernard C Marsman
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, Neuroimaging Center, Groningen, The Netherlands
| | - André Aleman
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, Neuroimaging Center, Groningen, The Netherlands
- Department of Psychology, University of Groningen, The Netherlands
| | - Aart H Schene
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Robert A Schoevers
- Department of Psychiatry, Mood and Anxiety Disorders, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Psychiatry, University Medical Center Groningen, Interdisciplinary Center for Psychopathology and Emotion Regulation, University of Groningen, Groningen, The Netherlands
| | - Henricus G Ruhé
- Department of Psychiatry, Mood and Anxiety Disorders, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Psychiatry, University Medical Center Groningen, Interdisciplinary Center for Psychopathology and Emotion Regulation, University of Groningen, Groningen, The Netherlands
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
- Department of Psychiatry, University of Oxford, Warnford Hospital, Oxford, UK
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86
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Resting State Networks Mediate the Effect of Genotype by Environment Interaction on Mental Health. Neuroscience 2017; 369:139-151. [PMID: 29129791 DOI: 10.1016/j.neuroscience.2017.11.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2017] [Revised: 08/21/2017] [Accepted: 11/04/2017] [Indexed: 12/12/2022]
Abstract
A number of studies have shown that the presence of short (S) allele of the serotonin transporter-linked polymorphic region (5-HTTLPR) is associated with a higher risk for depression following exposure to stressful life events. These findings are in line with neuroimaging studies showing that 5-HTTLPR polymorphism has an effect on the connectivity among key areas involved in emotion regulation. Here using mediated moderation analysis, we show that electrophysiological manifestations of resting state networks in the alpha frequency band mediate the effect of 5-HTTLPR by stress interaction on depression/anxiety symptoms in a nonclinical sample. Specifically, at the brain level, both L-allele homozygotes and S-allele carriers are similarly responsive to stress exposure. However, these brain responses seem to act as triggers of psychopathological symptoms in S-allele carriers, but as suppressors in L-allele homozygotes. This finding implies that the interpretation of the effect of gene by environment interaction on psychopathology seems more complicated than behavioral results alone would imply. It is not just differential sensitivity to stress, but rather different ways of coping with stress, which distinguish S-allele carriers and L-allele homozygotes.
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87
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Caparelli EC, Ross TJ, Gu H, Liang X, Stein EA, Yang Y. Graph theory reveals amygdala modules consistent with its anatomical subdivisions. Sci Rep 2017; 7:14392. [PMID: 29089582 PMCID: PMC5663902 DOI: 10.1038/s41598-017-14613-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Accepted: 09/04/2017] [Indexed: 11/25/2022] Open
Abstract
Similarities on the cellular and neurochemical composition of the amygdaloid subnuclei suggests their clustering into subunits that exhibit unique functional organization. The topological principle of community structure has been used to identify functional subnetworks in neuroimaging data that reflect the brain effective organization. Here we used modularity to investigate the organization of the amygdala using resting state functional magnetic resonance imaging (rsfMRI) data. Our goal was to determine whether such topological organization would reliably reflect the known neurobiology of individual amygdaloid nuclei, allowing for human imaging studies to accurately reflect the underlying neurobiology. Modularity analysis identified amygdaloid elements consistent with the main anatomical subdivisions of the amygdala that embody distinct functional and structural properties. Additionally, functional connectivity pathways of these subunits and their correlation with task-induced amygdala activation revealed distinct functional profiles consistent with the neurobiology of the amygdala nuclei. These modularity findings corroborate the structure–function relationship between amygdala anatomical substructures, supporting the use of network analysis techniques to generate biologically meaningful partitions of brain structures.
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Affiliation(s)
- Elisabeth C Caparelli
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland, USA.
| | - Thomas J Ross
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland, USA
| | - Hong Gu
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland, USA
| | - Xia Liang
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland, USA.,Research Center of Basic Space Science, Harbin Institute of Technology, Harbin, China
| | - Elliot A Stein
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland, USA
| | - Yihong Yang
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland, USA
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88
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Neural correlates of rumination in adolescents with remitted major depressive disorder and healthy controls. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2017; 17:394-405. [PMID: 27921216 DOI: 10.3758/s13415-016-0486-4] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The aim of the present study was to use fMRI to examine the neural correlates of engaging in rumination among a sample of remitted depressed adolescents, a population at high risk for future depressive relapse. A rumination induction task was used to assess differences in the patterns of neural activation during rumination versus a distraction condition among 26 adolescents in remission from major depressive disorder (rMDD) and in 15 healthy control adolescents. Self-report depression and rumination, as well as clinician-rated depression, were also assessed among all participants. All of the participants recruited regions in the default mode network (DMN), including the posterior cingulate cortex, medial prefrontal cortex, inferior parietal lobe, and medial temporal gyrus, during rumination. Increased activation in these regions during rumination was correlated with increased self-report rumination and symptoms of depression across all participants. Adolescents with rMDD also exhibited greater activation in regions involved in visual, somatosensory, and emotion processing than did healthy peers. The present findings suggest that during ruminative thought, adolescents with rMDD are characterized by increased recruitment of regions within the DMN and in areas involved in visual, somatosensory, and emotion processing.
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89
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Stange JP, Alloy LB, Fresco DM. Inflexibility as a Vulnerability to Depression: A Systematic Qualitative Review. CLINICAL PSYCHOLOGY-SCIENCE AND PRACTICE 2017; 24:245-276. [PMID: 29038622 PMCID: PMC5640320 DOI: 10.1111/cpsp.12201] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
The study of vulnerabilities to depression typically identifies factors that are thought to be universally maladaptive or adaptive. In contrast, researchers recently have theorized that the ability to flexibly engage in different thoughts and behaviors that fit situational demands may be most indicative of psychological health. We review empirical evidence from 147 studies reporting associations between five components of flexibility (set-shifting, affective set-shifting, cardiac vagal control, explanatory flexibility, and coping flexibility) and depression and classify studies according to strength of study design. Evidence from correlational and case-controlled studies suggests cross-sectional relationships, but few prospective studies have been conducted. We discuss limitations of existing studies, identify new directions for programmatic research, and discuss implications that flexibility has for the prevention and treatment of depression.
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90
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Lois G, Gerchen MF, Kirsch P, Kanske P, Schönfelder S, Wessa M. Large-scale network functional interactions during distraction and reappraisal in remitted bipolar and unipolar patients. Bipolar Disord 2017; 19:487-495. [PMID: 28960669 DOI: 10.1111/bdi.12512] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Accepted: 05/31/2017] [Indexed: 12/13/2022]
Abstract
OBJECTIVES The human brain is organized into large-scale networks that dynamically interact with each other. Extensive evidence has shown characteristic changes in certain large-scale networks during transitions from internally directed to externally directed attention. The aim of the present study was to compare these context-dependent network interactions during emotion regulation and to examine potential alterations in remitted unipolar and bipolar disorder patients. METHODS We employed a multi-region generalized psychophysiological interactions analysis to quantify connectivity changes during distraction vs reappraisal pair-wise across 90 regions placed throughout the four networks of interest (default-mode, frontoparietal, salience, and dorsal attention networks). Using network contingency analysis and permutation testing, we estimated the likelihood that the number of significant condition-dependent connectivity changes in every pair of networks exceeds the number expected by chance. We first examined the pattern of functional connectivity in 42 healthy subjects (sample I) and then compared these connectivity patterns across healthy individuals (n=23) and remitted bipolar (n=21) and unipolar disorder patients (n=21) in an independent sample II. RESULTS In sample I, distraction compared to reappraisal was characterized by reduced connectivity within the default-mode network and between the default-mode and two cognitive control networks and increased connectivity among the cognitive control networks. In sample II, both patient groups exhibited abnormally increased default-mode intra- and inter-network connectivity during distraction compared to reappraisal. CONCLUSIONS The present study highlights the role of large-scale network interactions in emotion regulation and provides preliminary evidence of default-mode inter- and intra-network connectivity impairments in remitted bipolar and unipolar patients during emotion regulation.
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Affiliation(s)
- Giannis Lois
- Department of Clinical Psychology and Neuropsychology, Institute of Psychology, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Martin F Gerchen
- Department of Clinical Psychology, Central Institute of Mental Health, University of Heidelberg/Medical Faculty Mannheim and Bernstein Center for Computational Neuroscience Heidelberg/Mannheim, Mannheim, Germany
| | - Peter Kirsch
- Department of Clinical Psychology, Central Institute of Mental Health, University of Heidelberg/Medical Faculty Mannheim and Bernstein Center for Computational Neuroscience Heidelberg/Mannheim, Mannheim, Germany
| | - Philipp Kanske
- Department of Social Neuroscience, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Sandra Schönfelder
- Department of Clinical Psychology and Neuropsychology, Institute of Psychology, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Michèle Wessa
- Department of Clinical Psychology and Neuropsychology, Institute of Psychology, Johannes Gutenberg-University Mainz, Mainz, Germany
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91
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Rodgers S, Vandeleur CL, Strippoli MPF, Castelao E, Tesic A, Glaus J, Lasserre AM, Müller M, Rössler W, Ajdacic-Gross V, Preisig M. Low emotion-oriented coping and informal help-seeking behaviour as major predictive factors for improvement in major depression at 5-year follow-up in the adult community. Soc Psychiatry Psychiatr Epidemiol 2017; 52:1169-1182. [PMID: 28748306 DOI: 10.1007/s00127-017-1421-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2016] [Accepted: 07/14/2017] [Indexed: 12/20/2022]
Abstract
PURPOSE Given the broad range of biopsychosocial difficulties resulting from major depressive disorder (MDD), reliable evidence for predictors of improved mental health is essential, particularly from unbiased prospective community samples. Consequently, a broad spectrum of potential clinical and non-clinical predictors of improved mental health, defined as an absence of current major depressive episode (MDE) at follow-up, were examined over a 5-year period in an adult community sample. METHODS The longitudinal population-based PsyCoLaus study from the city of Lausanne, Switzerland, was used. Subjects having a lifetime MDD with a current MDE at baseline assessment were selected, resulting in a subsample of 210 subjects. Logistic regressions were applied to the data. RESULTS Coping styles were the most important predictive factors in the present study. More specifically, low emotion-oriented coping and informal help-seeking behaviour at baseline were associated with the absence of an MDD diagnosis at follow-up. Surprisingly, neither formal help-seeking behaviour, nor psychopharmacological treatment, nor childhood adversities, nor depression subtypes turned out to be relevant predictors in the current study. CONCLUSIONS The paramount role of coping styles as predictors of improvement in depression found in the present study might be a valuable target for resource-oriented therapeutic models. On the one hand, the positive impact of low emotion-oriented coping highlights the utility of clinical interventions interrupting excessive mental ruminations during MDE. On the other hand, the importance of informal social networks raises questions regarding how to enlarge the personal network of affected subjects and on how to best support informal caregivers.
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Affiliation(s)
- S Rodgers
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, PO Box 1930, 8021, Zurich, Switzerland.
- Epidemiology, Biostatistics and Prevention Institute, Swiss MS Registry, University of Zurich, Zurich, Switzerland.
| | - C L Vandeleur
- Department of Psychiatry, Psychiatric Epidemiology and Psychopathology Research Centre, Lausanne University Hospital, Lausanne, Switzerland
| | - M-P F Strippoli
- Department of Psychiatry, Psychiatric Epidemiology and Psychopathology Research Centre, Lausanne University Hospital, Lausanne, Switzerland
| | - E Castelao
- Department of Psychiatry, Psychiatric Epidemiology and Psychopathology Research Centre, Lausanne University Hospital, Lausanne, Switzerland
| | - A Tesic
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, PO Box 1930, 8021, Zurich, Switzerland
| | - J Glaus
- Department of Psychiatry, Psychiatric Epidemiology and Psychopathology Research Centre, Lausanne University Hospital, Lausanne, Switzerland
- Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA
| | - A M Lasserre
- Department of Psychiatry, Psychiatric Epidemiology and Psychopathology Research Centre, Lausanne University Hospital, Lausanne, Switzerland
| | - M Müller
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, PO Box 1930, 8021, Zurich, Switzerland
| | - W Rössler
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, PO Box 1930, 8021, Zurich, Switzerland
- Collegium Helveticum, University of Zurich and Swiss Federal Institute of Technology, Zurich, Switzerland
- Laboratory of Neuroscience (LIM 27), Institute of Psychiatry, University of Sao Paulo, Sao Paulo, Brazil
| | - V Ajdacic-Gross
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, PO Box 1930, 8021, Zurich, Switzerland
- Epidemiology, Biostatistics and Prevention Institute, Swiss MS Registry, University of Zurich, Zurich, Switzerland
| | - M Preisig
- Department of Psychiatry, Psychiatric Epidemiology and Psychopathology Research Centre, Lausanne University Hospital, Lausanne, Switzerland
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92
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Stange JP, Hamilton JL, Fresco DM, Alloy LB. Perseverate or decenter? Differential effects of metacognition on the relationship between parasympathetic inflexibility and symptoms of depression in a multi-wave study. Behav Res Ther 2017; 97:123-133. [PMID: 28772194 DOI: 10.1016/j.brat.2017.07.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Revised: 05/26/2017] [Accepted: 07/14/2017] [Indexed: 02/08/2023]
Abstract
Depression often is characterized by inflexible autonomic and metacognitive processes that interfere with effective self-regulation. However, few studies have integrated these factors to improve the prediction of which individuals are at greatest risk for depression. Among 134 undergraduates, we evaluated whether parasympathetic inflexibility (a lack of reduction in respiratory sinus arrhythmia) in response to a sadness induction involving loss would prospectively predict symptoms of depression across four waves of follow-up over twelve weeks. Furthermore, we evaluated whether metacognitive components of perseverative cognition (PC) and decentering (identified by a principal component analysis) would moderate this relationship in opposite directions. Multilevel modeling demonstrated that the relationship between parasympathetic inflexibility and prospective symptoms of depression was exacerbated by PC, but attenuated by decentering. Furthermore, individuals with parasympathetic inflexibility, PC, and low decentering were at greatest risk for symptoms of depression across follow-up. These results support the utility of integrating autonomic and metacognitive risk factors to identify individuals at risk for depression.
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93
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Parlar M, Densmore M, Hall GB, Frewen PA, Lanius RA, McKinnon MC. Relation between patterns of intrinsic network connectivity, cognitive functioning, and symptom presentation in trauma-exposed patients with major depressive disorder. Brain Behav 2017; 7:e00664. [PMID: 28523217 PMCID: PMC5434180 DOI: 10.1002/brb3.664] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2016] [Revised: 01/21/2017] [Accepted: 01/23/2017] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVE The present study investigated resting fMRI connectivity within the default mode (DMN), salience (SN), and central executive (CEN) networks in relation to neurocognitive performance and symptom severity in trauma-exposed patients with major depressive disorder (MDD). METHOD Group independent component analysis was conducted among patients with MDD (n = 21), examining DMN, SN, and CEN connectivity in relation to neurocognitive performance and symptom severity. Activation in these networks was also compared between the patient group and healthy controls (n = 20). RESULTS Among the patient group, higher levels of performance on measures of verbal memory and executive functioning were related to increased connectivity within the DMN (i.e., inferior parietal lobe; precuneus). Greater depression severity was related to reduced connectivity between the SN and a node of the DMN (i.e., posterior cingulate cortex) and higher depersonalization symptoms were related to enhanced connectivity between the SN and a node of the DMN (i.e., middle temporal gyrus). Higher symptoms of depersonalization were also associated with reduced integration of the DMN with the medial frontal gyrus. Relative to controls, patients with MDD showed greater connectivity of the ventromedial prefrontal cortex within the DMN. CONCLUSION Intrinsic connectivity network patterns are related to cognitive performance and symptom presentation among trauma-exposed patients with MDD.
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Affiliation(s)
- Melissa Parlar
- McMaster Integrative Neuroscience Discovery and Study McMaster University Hamilton ON Canada.,Mood Disorders Program St. Joseph's Healthcare Hamilton ON Canada
| | - Maria Densmore
- Department of Psychiatry University of Western Ontario London ON Canada
| | - Geoffrey B Hall
- Department of Psychology, Neuroscience, and Behaviour McMaster University Hamilton ON Canada
| | - Paul A Frewen
- Department of Psychiatry University of Western Ontario London ON Canada
| | - Ruth A Lanius
- Department of Psychiatry University of Western Ontario London ON Canada
| | - Margaret C McKinnon
- McMaster Integrative Neuroscience Discovery and Study McMaster University Hamilton ON Canada.,Mood Disorders Program St. Joseph's Healthcare Hamilton ON Canada.,Homewood Research Institute Guelph ON Canada
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94
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Delaveau P, Arruda Sanchez T, Steffen R, Deschet K, Jabourian M, Perlbarg V, Gasparetto EL, Dubal S, Costa E Silva J, Fossati P. Default mode and task-positive networks connectivity during the N-Back task in remitted depressed patients with or without emotional residual symptoms. Hum Brain Mapp 2017; 38:3491-3501. [PMID: 28390165 DOI: 10.1002/hbm.23603] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Revised: 03/13/2017] [Accepted: 03/27/2017] [Indexed: 12/28/2022] Open
Abstract
Clinical remission of depression may be associated with emotional residual symptoms. We studied the association of emotional blunting, rumination with neural networks dynamics in remitted depressed patients and cognitive performance during an N-Back task. Twenty-six outpatients in remission of depression (Hamilton Depressive rating scale score <7) performed an N-Back task during fMRI assessment. All patients had been treated by paroxetine for a minimum of 4 months. Two subgroups of patients [Nonemotionally blunted (NEB) = 14 and emotionally blunted (EB) = 12] were determined. To identify functional network maps across participants, the Network Detection using Independent Component Analysis approach was employed. Within and between Task Positive Network (TPN) and Default Mode Network (DMN) connectivity were assessed and related to variability of performance on the N-Back task and rumination. EB and NEB patients were not different for the level of accurate responses at the N-Back. However over the entire working memory task, the negative correlation between DMN and TPN was significantly lower in the EB than NEB group and was differently related to cognitive performance and rumination. The stronger the negative correlation between DMN and TPN was, the less variable the reaction time during 3-Back task in NEB patients. Moreover the greater the negative correlation between DMN and TPN was, the lower the rumination score in EB patients. Emotional blunting may be associated with compromised monitoring of rumination and cognitive functioning in remitted depressed patients through altered cooperation between DMN and TPN. The study suggests clinical remission in depression is associated with biological heterogeneity. Hum Brain Mapp 38:3491-3501, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Pauline Delaveau
- Sorbonne Universités, UPMC Univ Paris 06, Inserm, CNRS, APHP, Institut du cerveau et de la moelle (ICM)-Hôpital Pitié Salpêtrière, Boulevard de l'hôpital, Paris, France
| | - Tiago Arruda Sanchez
- Department of Radiology, Universidade Federal do Rio de Janeiro, Medical School, Rio de Janeiro, Brazil
| | - Ricardo Steffen
- Department of Psychiatry, Clinical Research Center in Psychiatry, Hospital Santa Casa de Misericórdia do Rio de Janeiro, Brazil
| | - Karine Deschet
- Institut de Recherches Internationales Servier, Suresnes, France
| | | | - Vincent Perlbarg
- IHU-A-ICM, Bioinformatics/Biostatistics Plateform, Paris, France.,INSERM U1146, CNRS UMR7371, laboratoire d'imagerie biomédicale, Sorbonne université, UPMC université, Paris 60 UMCR2, Hôpital de la Pitié-Salpêtrière, Paris, France
| | | | - Stéphanie Dubal
- Sorbonne Universités, UPMC Univ Paris 06, Inserm, CNRS, APHP, Institut du cerveau et de la moelle (ICM)-Hôpital Pitié Salpêtrière, Boulevard de l'hôpital, Paris, France
| | - Jorge Costa E Silva
- Institut Brésilien du Cerveau, INBRACER, RJ, Brazil, Université Catholique de Rio de Janeiro, Brazil
| | - Philippe Fossati
- Sorbonne Universités, UPMC Univ Paris 06, Inserm, CNRS, APHP, Institut du cerveau et de la moelle (ICM)-Hôpital Pitié Salpêtrière, Boulevard de l'hôpital, Paris, France
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95
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A closer look at the relationship between the default network, mind wandering, negative mood, and depression. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2017; 17:697-711. [DOI: 10.3758/s13415-017-0506-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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96
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Zhou M, Hu X, Lu L, Zhang L, Chen L, Gong Q, Huang X. Intrinsic cerebral activity at resting state in adults with major depressive disorder: A meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry 2017; 75:157-164. [PMID: 28174129 DOI: 10.1016/j.pnpbp.2017.02.001] [Citation(s) in RCA: 65] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Revised: 12/14/2016] [Accepted: 02/03/2017] [Indexed: 02/06/2023]
Abstract
Numerous neuroimaging studies have been undertaken to detect cerebral intrinsic activity in major depressive disorder (MDD) with resting state fMRI (rs-fMRI). However, the inconsistent results have hindered our understanding of the exact neuropathology related to MDD. The current meta-analysis used state-of-the-art conjunction analysis techniques to systematically review and summarize all available neuroimaging studies using rs-fMRI with amplitude of low frequency fluctuation (ALFF) and/or fractional ALFF (fALFF) on MDD patients and further explored the effect of antidepressants on the intrinsic activity of the brain. The anisotropic effect size version of signed differential mapping (AES-SDM) was applied to investigate changes in ALFF/fALFF in depression. We performed a subgroup analysis and group comparison on medicated and drug naïve patients to detect drug effect on MDD patients and conjunction analysis to identify congruent results between the two methods. Meta-regression was used to explore the effects of demographics and clinical characteristics. Adult MDD patients showed a robust increase in intrinsic activity in the resting state in the anterior cingulate cortex (ACC) in both ALFF (P<0.001) and fALFF (P<0.01) studies. The subgroup analysis demonstrated that the increased activity in the ACC was prominent in medicated patients only and not seen in drug-naïve MDD patients, while medication-naïve patients showed a specific decreased activity in the cerebellum (P<0.01). Group comparison showed that the intrinsic ACC activity is elevated in medicated MDD patients compared with drug naïve MDD patients. Meta-regression analysis demonstrated that the increased ACC activation was positively correlated with illness duration (P<0.001). Our findings suggest that increased activity of the ACC is more likely to be associated with antidepressant treatment, while decreased intrinsic activity of the cerebellum might be a specific biomarker for current MDD.
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Affiliation(s)
- Ming Zhou
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Xinyu Hu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Lu Lu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Lianqing Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Lizhou Chen
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
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97
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Admon R, Kaiser RH, Dillon DG, Beltzer M, Goer F, Olson DP, Vitaliano G, Pizzagalli DA. Dopaminergic Enhancement of Striatal Response to Reward in Major Depression. Am J Psychiatry 2017; 174:378-386. [PMID: 27771973 PMCID: PMC5378658 DOI: 10.1176/appi.ajp.2016.16010111] [Citation(s) in RCA: 83] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
OBJECTIVE Major depressive disorder is characterized by reduced reward-related striatal activation and dysfunctional reward learning, putatively reflecting decreased dopaminergic signaling. The goal of this study was to test whether a pharmacological challenge designed to facilitate dopaminergic transmission can enhance striatal responses to reward and improve reward learning in depressed individuals. METHOD In a double-blind placebo-controlled design, 46 unmedicated depressed participants and 43 healthy control participants were randomly assigned to receive either placebo or a single low dose (50 mg) of the D2/D3 receptor antagonist amisulpride, which is believed to increase dopamine signaling through presynaptic autoreceptor blockade. To investigate the effects of increased dopaminergic transmission on reward-related striatal function and behavior, a monetary incentive delay task (in conjunction with functional MRI) and a probabilistic reward learning task were administered at absorption peaks of amisulpride. RESULTS Depressed participants selected previously rewarded stimuli less frequently than did control participants, indicating reduced reward learning, but this effect was not modulated by amisulpride. Relative to depressed participants receiving placebo (and control participants receiving amisulpride), depressed participants receiving amisulpride exhibited increased striatal activation and potentiated corticostriatal functional connectivity between the nucleus accumbens and the midcingulate cortex in response to monetary rewards. Stronger corticostriatal connectivity in response to rewards predicted better reward learning among depressed individuals receiving amisulpride as well as among control participants receiving placebo. CONCLUSIONS Acute enhancement of dopaminergic transmission potentiated reward-related striatal activation and corticostriatal functional connectivity in depressed individuals but had no behavioral effects. Taken together, the results suggest that targeted pharmacological treatments may normalize neural correlates of reward processing in depression; despite such acute effects on neural function, behavioral modification may require more chronic exposure. This is consistent with previous reports that antidepressant effects of amisulpride in depression emerged after sustained administration.
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Affiliation(s)
- Roee Admon
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Roselinde H. Kaiser
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Daniel G. Dillon
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Miranda Beltzer
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Franziska Goer
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - David P. Olson
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA,McLean Imaging Center, McLean Hospital, Belmont, MA, USA
| | - Gordana Vitaliano
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA,McLean Imaging Center, McLean Hospital, Belmont, MA, USA
| | - Diego A. Pizzagalli
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA,McLean Imaging Center, McLean Hospital, Belmont, MA, USA
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98
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Stange JP, Bessette KL, Jenkins LM, Peters AT, Feldhaus C, Crane NA, Ajilore O, Jacobs RH, Watkins ER, Langenecker SA. Attenuated intrinsic connectivity within cognitive control network among individuals with remitted depression: Temporal stability and association with negative cognitive styles. Hum Brain Mapp 2017; 38:2939-2954. [PMID: 28345197 DOI: 10.1002/hbm.23564] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Revised: 02/28/2017] [Accepted: 03/01/2017] [Indexed: 02/06/2023] Open
Abstract
Many individuals with major depressive disorder (MDD) experience cognitive dysfunction including impaired cognitive control and negative cognitive styles. Functional connectivity magnetic resonance imaging studies of individuals with current MDD have documented altered resting-state connectivity within the default-mode network and across networks. However, no studies to date have evaluated the extent to which impaired connectivity within the cognitive control network (CCN) may be present in remitted MDD (rMDD), nor have studies examined the temporal stability of such attenuation over time. This represents a major gap in understanding stable, trait-like depression risk phenotypes. In this study, resting-state functional connectivity data were collected from 52 unmedicated young adults with rMDD and 47 demographically matched healthy controls, using three bilateral seeds in the CCN (dorsolateral prefrontal cortex, inferior parietal lobule, and dorsal anterior cingulate cortex). Mean connectivity within the entire CCN was attenuated among individuals with rMDD, was stable and reliable over time, and was most pronounced with the right dorsolateral prefrontal cortex and right inferior parietal lobule, results that were corroborated by supplemental independent component analysis. Attenuated connectivity in rMDD appeared to be specific to the CCN as opposed to representing attenuated within-network coherence in other networks (e.g., default-mode, salience). In addition, attenuated connectivity within the CCN mediated relationships between rMDD status and cognitive risk factors for depression, including ruminative brooding, pessimistic attributional style, and negative automatic thoughts. Given that these cognitive markers are known predictors of relapse, these results suggest that attenuated connectivity within the CCN could represent a biomarker for trait phenotypes of depression risk. Hum Brain Mapp 38:2939-2954, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
| | | | | | - Amy T Peters
- University of Illinois at Chicago, Chicago, Illinois
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99
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Knyazev GG, Savostyanov AN, Bocharov AV, Slobodskaya HR, Bairova NB, Tamozhnikov SS, Stepanova VV. Effortful control and resting state networks: A longitudinal EEG study. Neuroscience 2017; 346:365-381. [DOI: 10.1016/j.neuroscience.2017.01.031] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Revised: 01/14/2017] [Accepted: 01/17/2017] [Indexed: 10/20/2022]
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100
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Karim HT, Andreescu C, Tudorascu D, Smagula SF, Butters MA, Karp JF, Reynolds C, Aizenstein HJ. Intrinsic functional connectivity in late-life depression: trajectories over the course of pharmacotherapy in remitters and non-remitters. Mol Psychiatry 2017; 22:450-457. [PMID: 27090303 PMCID: PMC5322273 DOI: 10.1038/mp.2016.55] [Citation(s) in RCA: 64] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Revised: 02/18/2016] [Accepted: 03/02/2016] [Indexed: 01/29/2023]
Abstract
Previous studies in late-life depression (LLD) have found that patients have altered intrinsic functional connectivity in the dorsal default mode network (DMN) and executive control network (ECN). We aimed to detect connectivity differences across a treatment trial among LLD patients as a function of remission status. LLD patients (N=37) were enrolled into a 12-week trial of venlafaxine and underwent five functional magnetic resonance imaging resting state scans during treatment. Patients had no history of drug abuse, psychosis, dementia/neurodegenerative diseases or medical conditions with known effects on mood. We investigated whether there were differences in three networks: DMN, ECN and anterior salience network connectivity, as well as a whole brain centrality measure (eigenvector centrality). We found that remitters showed increases in ECN connectivity in the right precentral gyrus and decreases in DMN connectivity in the right inferior frontal gyrus and supramarginal gyrus. The ECN and DMN had regions (middle temporal gyrus and bilateral middle/inferior temporal/fusiform gyrus, respectively) that showed reversed effects (decreased ECN and increased DMN, respectively). Early changes in functional connectivity can occur after initial medication exposure. This study offers new data, indicating that functional connectivity changes differ depending on treatment response and can occur shortly after exposure to antidepressant medication.
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Affiliation(s)
- H T Karim
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - C Andreescu
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - D Tudorascu
- Department of Biostatistics, Graduate School of Public Health, Pittsburgh, PA, USA
| | - S F Smagula
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - M A Butters
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - J F Karp
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - C Reynolds
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - H J Aizenstein
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA,Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA,Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O'Hara Street, Pittsburgh, PA 15213, USA. E-mail:
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