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van der Wijk G, Zamyadi M, Bray S, Hassel S, Arnott SR, Frey BN, Kennedy SH, Davis AD, Hall GB, Lam RW, Milev R, Müller DJ, Parikh S, Soares C, Macqueen GM, Strother SC, Protzner AB. Large Individual Differences in Functional Connectivity in the Context of Major Depression and Antidepressant Pharmacotherapy. eNeuro 2024; 11:ENEURO.0286-23.2024. [PMID: 38830756 PMCID: PMC11163402 DOI: 10.1523/eneuro.0286-23.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 04/25/2024] [Accepted: 04/29/2024] [Indexed: 06/05/2024] Open
Abstract
Clinical studies of major depression (MD) generally focus on group effects, yet interindividual differences in brain function are increasingly recognized as important and may even impact effect sizes related to group effects. Here, we examine the magnitude of individual differences in relation to group differences that are commonly investigated (e.g., related to MD diagnosis and treatment response). Functional MRI data from 107 participants (63 female, 44 male) were collected at baseline, 2, and 8 weeks during which patients received pharmacotherapy (escitalopram, N = 68) and controls (N = 39) received no intervention. The unique contributions of different sources of variation were examined by calculating how much variance in functional connectivity was shared across all participants and sessions, within/across groups (patients vs controls, responders vs nonresponders, female vs male participants), recording sessions, and individuals. Individual differences and common connectivity across groups, sessions, and participants contributed most to the explained variance (>95% across analyses). Group differences related to MD diagnosis, treatment response, and biological sex made significant but small contributions (0.3-1.2%). High individual variation was present in cognitive control and attention areas, while low individual variation characterized primary sensorimotor regions. Group differences were much smaller than individual differences in the context of MD and its treatment. These results could be linked to the variable findings and difficulty translating research on MD to clinical practice. Future research should examine brain features with low and high individual variation in relation to psychiatric symptoms and treatment trajectories to explore the clinical relevance of the individual differences identified here.
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Affiliation(s)
- Gwen van der Wijk
- Department of Psychology, University of Calgary, Calgary, Alberta T2N 1N4, Canada
| | - Mojdeh Zamyadi
- Baycrest Health Sciences, Rotman Research Institute, Toronto, Ontario M6A 2E1, Canada
| | - Signe Bray
- Child and Adolescent Imaging Research Program, University of Calgary, Calgary, Alberta T2N 1N4, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta T2N 1N4, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta T2N 1N4, Canada
- Department of Radiology, University of Calgary, Calgary, Alberta T2N 1N4, Canada
| | - Stefanie Hassel
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 1N4, Canada
- Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, Alberta T2N 14, Canada
| | - Stephen R Arnott
- Baycrest Health Sciences, Rotman Research Institute, Toronto, Ontario M6A 2E1, Canada
| | - Benicio N Frey
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario L8S 4L8, Canada
- Mood Disorders Program and Women's Health Concerns Clinic, St. Joseph's Healthcare, Hamilton, Ontario L8N 4A6, Canada
| | - Sidney H Kennedy
- Department of Psychiatry, University of Toronto, Toronto, Ontario M5S 1A1, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario M5S 1A1, Canada
- Centre for Mental Health, University Health Network, Toronto, Ontario M5G 2C4, Canada
- Centre for Depression and Suicide Studies, Unity Health Toronto, Toronto, Ontario M5B 1W8, Canada
- Krembil Research Institute, Toronto Western Hospital, Toronto, Ontario M5T 2S8, Canada
| | - Andrew D Davis
- Baycrest Health Sciences, Rotman Research Institute, Toronto, Ontario M6A 2E1, Canada
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario L8S 4L8, Canada
| | - Geoffrey B Hall
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario L8S 4L8, Canada
- Imaging Research Centre, St. Joseph's Healthcare Hamilton, Hamilton, Ontario L8N 4A6, Canada
| | - Raymond W Lam
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia V6T 2A1, Canada
| | - Roumen Milev
- Department of Psychiatry and Psychology, and Providence Care Hospital, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - Daniel J Müller
- Department of Psychiatry, University of Toronto, Toronto, Ontario M5S 1A1, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario M5S 1A1, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario M5T 1R8, Canada
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario M5S 1A1, Canada
| | - Sagar Parikh
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan 48109
| | - Claudio Soares
- Department of Psychiatry, Queen's University, Providence Care, Kingston, Ontario K7L 3N6, Canada
| | - Glenda M Macqueen
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 1N4, Canada
- Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, Alberta T2N 14, Canada
| | - Stephen C Strother
- Baycrest Health Sciences, Rotman Research Institute, Toronto, Ontario M6A 2E1, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario M5S 1A1, Canada
| | - Andrea B Protzner
- Department of Psychology, University of Calgary, Calgary, Alberta T2N 1N4, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta T2N 1N4, Canada
- Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, Alberta T2N 14, Canada
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Schantell M, Taylor BK, Mansouri A, Arif Y, Coutant AT, Rice DL, Wang YP, Calhoun VD, Stephen JM, Wilson TW. Theta oscillatory dynamics serving cognitive control index psychosocial distress in youth. Neurobiol Stress 2024; 29:100599. [PMID: 38213830 PMCID: PMC10776433 DOI: 10.1016/j.ynstr.2023.100599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 11/09/2023] [Accepted: 12/10/2023] [Indexed: 01/13/2024] Open
Abstract
Background Psychosocial distress among youth is a major public health issue characterized by disruptions in cognitive control processing. Using the National Institute of Mental Health's Research Domain Criteria (RDoC) framework, we quantified multidimensional neural oscillatory markers of psychosocial distress serving cognitive control in youth. Methods The sample consisted of 39 peri-adolescent participants who completed the NIH Toolbox Emotion Battery (NIHTB-EB) and the Eriksen flanker task during magnetoencephalography (MEG). A psychosocial distress index was computed with exploratory factor analysis using assessments from the NIHTB-EB. MEG data were analyzed in the time-frequency domain and peak voxels from oscillatory maps depicting the neural cognitive interference effect were extracted for voxel time series analyses to identify spontaneous and oscillatory aberrations in dynamics serving cognitive control as a function of psychosocial distress. Further, we quantified the relationship between psychosocial distress and dynamic functional connectivity between regions supporting cognitive control. Results The continuous psychosocial distress index was strongly associated with validated measures of pediatric psychopathology. Theta-band neural cognitive interference was identified in the left dorsolateral prefrontal cortex (dlPFC) and middle cingulate cortex (MCC). Time series analyses of these regions indicated that greater psychosocial distress was associated with elevated spontaneous activity in both the dlPFC and MCC and blunted theta oscillations in the MCC. Finally, we found that stronger phase coherence between the dlPFC and MCC was associated with greater psychosocial distress. Conclusions Greater psychosocial distress was marked by alterations in spontaneous and oscillatory theta activity serving cognitive control, along with hyperconnectivity between the dlPFC and MCC.
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Affiliation(s)
- Mikki Schantell
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
- College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA
- Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Brittany K. Taylor
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
- Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA
- Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA
| | - Amirsalar Mansouri
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Yasra Arif
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
- Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Anna T. Coutant
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
- Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Danielle L. Rice
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
- Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Yu-Ping Wang
- Department of Biomedical Engineering, Tulane University, New Orleans, LA, USA
| | - Vince D. Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging & Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | | | - Tony W. Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA
- College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA
- Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA
- Department of Pharmacology & Neuroscience, Creighton University, Omaha, NE, USA
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Schumacher A, Campisi SC, Khalfan AF, Merriman K, Williams TS, Korczak DJ. Cognitive functioning in children and adolescents with depression: A systematic review and meta-analysis. Eur Neuropsychopharmacol 2024; 79:49-58. [PMID: 38128461 DOI: 10.1016/j.euroneuro.2023.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 11/24/2023] [Accepted: 11/26/2023] [Indexed: 12/23/2023]
Abstract
Although cognitive dysfunction is associated with depression in adults, the link in children and adolescents is unclear. This systematic review and meta-analysis quantifies the association between depression and cognitive function in children and adolescents. Systematic searches were conducted in six databases: Child Development and Adolescent Studies, Ovid MEDLINE, Ovid Embase, Ovid APA PsycINFO, EBSCO CINAHL Plus, Scopus (last search: April 2023). Studies including measures of cognitive outcomes (memory, attention, executive function, processing speed, language) among children (≤18 years) with depression were included. The Joanna Briggs Institute Critical Appraisal Tools were used to determine study risk of bias. Random-effects meta-analyses of study outcomes were performed. Seventeen studies were included (15 were cross-sectional, 1 prospective, 1 randomized control trial). Participants (N = 13,567) were 10 to 17 years old (mean 13.8 ± 2.2 years; 60 % female). Compared with healthy controls, depressed participants had lower performance on tests of working memory (g = -0.40; 95 % CI: -0.67, -0.13), long-term memory (g = -0.48; 95 % CI: -0.72, -0.25), attention (g = -0.15; 95 % CI: -0.26, -0.04), executive function (g = -0.16; 95 % CI: -0.24, -0.08), and language (g = -0.23; 95 % CI: -0.36, -0.09). No performance differences were observed on tests of short-term memory or processing speed. Children and adolescents with depression demonstrated lower performance on tests of working and long-term memory, attention, executive function and language. These findings emphasize the importance of considering cognitive functioning among children with depression, and greater understanding of the effect of treatment on these outcomes. PROSPERO (CRD42022332064).
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Affiliation(s)
- Anett Schumacher
- Neurosciences and Mental Health, Department of Psychiatry, The Hospital for Sick Children, Toronto, Canada
| | - Susan C Campisi
- Neurosciences and Mental Health, Department of Psychiatry, The Hospital for Sick Children, Toronto, Canada; Nutrition and Dietetics Program, Clinical Public Health Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Anisa F Khalfan
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Canada
| | - Kaitlyn Merriman
- Gerstein Science Information Centre, University of Toronto, Toronto, Canada
| | - Tricia S Williams
- Neurosciences and Mental Health, Department of Psychiatry, The Hospital for Sick Children, Toronto, Canada; Division of Neurology, The Hospital for Sick Children, Toronto, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Daphne J Korczak
- Neurosciences and Mental Health, Department of Psychiatry, The Hospital for Sick Children, Toronto, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
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Guo T, Wang X, Wu J, Schwieter WJ, Liu H. Effects of contextualized emotional conflict control on domain-general conflict control: fMRI evidence of neural network reconfiguration. Soc Cogn Affect Neurosci 2024; 19:nsae001. [PMID: 38174430 PMCID: PMC10868129 DOI: 10.1093/scan/nsae001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 10/24/2023] [Accepted: 01/03/2024] [Indexed: 01/05/2024] Open
Abstract
Domain-general conflict control refers to the cognitive process in which individuals suppress task-irrelevant information and extract task-relevant information. It supports both effective implementation of cognitive conflict control and emotional conflict control. The present study employed functional magnetic resonance imaging and adopted an emotional valence conflict task and the arrow version of the flanker task to induce contextualized emotional conflicts and cognitive conflicts, respectively. The results from the conjunction analysis showed that the multitasking-related activity in the pre-supplementary motor area, bilateral dorsal premotor cortices, the left posterior intraparietal sulcus (IPS), the left anterior IPS and the right inferior occipital gyrus represents common subprocesses for emotional and cognitive conflict control, either in parallel or in close succession. These brain regions were used as nodes in the domain-general conflict control network. The results from the analyses on the brain network connectivity patterns revealed that emotional conflict control reconfigures the domain-general conflict control network in a connective way as evidenced by different communication and stronger connectivity among the domain-general conflict control network. Together, these findings offer the first empirical-based elaboration on the brain network underpinning emotional conflict control and how it reconfigures the domain-general conflict control network in interactive ways.
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Affiliation(s)
- Tingting Guo
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian 116029, China
- Key Laboratory of Brain and Cognitive Neuroscience, Dalian, Liaoning Province 116029, China
| | - Xiyuan Wang
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian 116029, China
- Key Laboratory of Brain and Cognitive Neuroscience, Dalian, Liaoning Province 116029, China
| | - Junjie Wu
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Tianjin Normal University, Tianjin 300382, China
| | - W. John Schwieter
- Language Acquisition, Multilingualism, and Cognition Laboratory/Bilingualism Matters, Wilfrid Laurier University, Waterloo N2L3C5, Canada
- Department of Linguistics and Languages, McMaster University, Hamilton L8S4L8, Canada
| | - Huanhuan Liu
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian 116029, China
- Key Laboratory of Brain and Cognitive Neuroscience, Dalian, Liaoning Province 116029, China
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5
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Smith PJ, Whitson HE, Merwin RM, O’Hayer CV, Strauman TJ. Engineering Virtuous health habits using Emotion and Neurocognition: Flexibility for Lifestyle Optimization and Weight management (EVEN FLOW). Front Aging Neurosci 2023; 15:1256430. [PMID: 38076541 PMCID: PMC10702760 DOI: 10.3389/fnagi.2023.1256430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 10/20/2023] [Indexed: 02/12/2024] Open
Abstract
Interventions to preserve functional independence in older adults are critically needed to optimize 'successful aging' among the large and increasing population of older adults in the United States. For most aging adults, the management of chronic diseases is the most common and impactful risk factor for loss of functional independence. Chronic disease management inherently involves the learning and adaptation of new behaviors, such as adopting or modifying physical activity habits and managing weight. Despite the importance of chronic disease management in older adults, vanishingly few individuals optimally manage their health behavior in the service of chronic disease stabilization to preserve functional independence. Contemporary conceptual models of chronic disease management and health habit theory suggest that this lack of optimal management may result from an underappreciated distinction within the health behavior literature: the behavioral domains critical for initiation of new behaviors (Initiation Phase) are largely distinct from those that facilitate their maintenance (Maintenance Phase). Psychological factors, particularly experiential acceptance and trait levels of openness are critical to engagement with new health behaviors, willingness to make difficult lifestyle changes, and the ability to tolerate aversive affective responses in the process. Cognitive factors, particularly executive function, are critical to learning new skills, using them effectively across different areas of life and contextual demands, and updating of skills to facilitate behavioral maintenance. Emerging data therefore suggests that individuals with greater executive function are better able to sustain behavior changes, which in turn protects against cognitive decline. In addition, social and structural supports of behavior change serve a critical buffering role across phases of behavior change. The present review attempts to address these gaps by proposing a novel biobehavioral intervention framework that incorporates both individual-level and social support system-level variables for the purpose of treatment tailoring. Our intervention framework triangulates on the central importance of self-regulatory functioning, proposing that both cognitive and psychological mechanisms ultimately influence an individuals' ability to engage in different aspects of self-management (individual level) in the service of maintaining independence. Importantly, the proposed linkages of cognitive and affective functioning align with emerging individual difference frameworks, suggesting that lower levels of cognitive and/or psychological flexibility represent an intermediate phenotype of risk. Individuals exhibiting self-regulatory lapses either due to the inability to regulate their emotional responses or due to the presence of executive functioning impairments are therefore the most likely to require assistance to preserve functional independence. In addition, these vulnerabilities will be more easily observable for individuals requiring greater complexity of self-management behavioral demands (e.g. complexity of medication regimen) and/or with lesser social support. Our proposed framework also intuits several distinct intervention pathways based on the profile of self-regulatory behaviors: we propose that individuals with intact affect regulation and impaired executive function will preferentially respond to 'top-down' training approaches (e.g., strategy and process work). Individuals with intact executive function and impaired affect regulation will respond to 'bottom-up' approaches (e.g., graded exposure). And individuals with impairments in both may require treatments targeting caregiving or structural supports, particularly in the context of elevated behavioral demands.
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Affiliation(s)
- Patrick J. Smith
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Heather E. Whitson
- Department of Medicine, Duke University Medical Center, Durham, NC, United States
- Department of Medicine, Durham Veterans Affairs Medical Center, Durham, NC, United States
| | - Rhonda M. Merwin
- Department of Psychiatry, Duke University Medical Center, Durham, NC, United States
| | - C. Virginia O’Hayer
- Department of Psychiatry and Human Behavior, Thomas Jefferson University, Philadelphia, PA, United States
| | - Timothy J. Strauman
- Department of Psychiatry, Duke University Medical Center, Durham, NC, United States
- Department of Psychology and Neuroscience, Duke University, Durham, NC, United States
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Guo T, Schwieter JW, Liu H. fMRI reveals overlapping and non-overlapping neural bases of domain-general and emotional conflict control. Psychophysiology 2023; 60:e14355. [PMID: 37254582 DOI: 10.1111/psyp.14355] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 04/05/2023] [Accepted: 05/17/2023] [Indexed: 06/01/2023]
Abstract
The present study uses functional magnetic resonance image (fMRI) to examine the overlapping and specific neural correlates of contextualized emotional conflict control and domain-general conflict control. During a performance on emotional and domain-general conflict tasks, conjunction analyses showed that neural areas distributed in the frontoparietal network were engaged in both processes, supporting the notion that similar neural mechanisms are implemented in these two types of control. Importantly, disjunction analyses revealed a broader neural recruitment of emotional conflict control compared to domain-general conflict control as shown by the possible lateralization of the lateral prefrontal cortex (lPFC), such that emotional conflict control significantly involved the left lPFC while domain-general conflict control seemly involved the right lPFC. Results of generalized psychophysiological interaction (gPPI) analyses further demonstrated that emotional conflict control, compared to domain-general conflict control, elicited broader synergistic activities in individuals' brain networks. Together, these findings offer novel and compelling neural evidence that furthers our understanding of the complex relationship between domain-general and emotional conflict control.
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Affiliation(s)
- Tingting Guo
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China
- Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, China
| | - John W Schwieter
- Language Acquisition, Cognition, and Multilingualism Laboratory, Bilingualism Matters @ Wilfrid Laurier University, Waterloo, Ontario, Canada
- Department of Linguistics and Languages, McMaster University, Hamilton, Ontario, Canada
| | - Huanhuan Liu
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China
- Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, China
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Wang K, Hu Y, Yan C, Li M, Wu Y, Qiu J, Zhu X. Brain structural abnormalities in adult major depressive disorder revealed by voxel- and source-based morphometry: evidence from the REST-meta-MDD Consortium. Psychol Med 2023; 53:3672-3682. [PMID: 35166200 DOI: 10.1017/s0033291722000320] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Neuroimaging studies on major depressive disorder (MDD) have identified an extensive range of brain structural abnormalities, but the exact neural mechanisms associated with MDD remain elusive. Most previous studies were performed with voxel- or surface-based morphometry which were univariate methods without considering spatial information across voxels/vertices. METHODS Brain morphology was investigated using voxel-based morphometry (VBM) and source-based morphometry (SBM) in 1082 MDD patients and 990 healthy controls (HCs) from the REST-meta-MDD Consortium. We first examined group differences in regional grey matter (GM) volumes and structural covariance networks between patients and HCs. We then compared first-episode, drug-naïve (FEDN) patients, and recurrent patients. Additionally, we assessed the effects of symptom severity and illness duration on brain alterations. RESULTS VBM showed decreased GM volume in various regions in MDD patients including the superior temporal cortex, anterior and middle cingulate cortex, inferior frontal cortex, and precuneus. SBM returned differences only in the prefrontal network. Comparisons between FEDN and recurrent MDD patients showed no significant differences by VBM, but SBM showed greater decreases in prefrontal, basal ganglia, visual, and cerebellar networks in the recurrent group. Moreover, depression severity was associated with volumes in the inferior frontal gyrus and precuneus, as well as the prefrontal network. CONCLUSIONS Simultaneous application of VBM and SBM methods revealed brain alterations in MDD patients and specified differences between recurrent and FEDN patients, which tentatively provide an effective multivariate method to identify potential neurobiological markers for depression.
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Affiliation(s)
- KangCheng Wang
- School of Psychology, Shandong Normal University, Jinan, Shandong, China
| | - YuFei Hu
- School of Psychology, Shandong Normal University, Jinan, Shandong, China
| | - ChaoGan Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- International Big-Data Center for Depression Research, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - MeiLing Li
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
| | - YanJing Wu
- Faculty of Foreign Languages, Ningbo University, Ningbo, Zhejiang, China
| | - Jiang Qiu
- Faculty of Psychology, Southwest University, Chongqing 400716, China
| | - XingXing Zhu
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
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Zhang K, Li P, Zhao Y, Griffiths MD, Wang J, Zhang MX. Effect of Social Media Addiction on Executive Functioning Among Young Adults: The Mediating Roles of Emotional Disturbance and Sleep Quality. Psychol Res Behav Manag 2023; 16:1911-1920. [PMID: 37255996 PMCID: PMC10226546 DOI: 10.2147/prbm.s414625] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 05/17/2023] [Indexed: 06/01/2023] Open
Abstract
Introduction The increased research examining social media addiction with its negative consequences has raised concerns over the past decade. However, little research has investigated the association between social media addiction and executive functioning as well as the mechanisms underlying this relationship. Methods Using a survey, the present study examined the association between social media addiction and executive functioning via emotional disturbance and sleep quality among 1051 Chinese young adults, aged 18 to 27 years old (M=21.02 years [SD=1.89]; 34.41% male). Results The results showed that social media addiction had a significant negative association with executive functioning but positive associations with emotional disturbance and poor sleep quality. Structural equation modeling suggested that there was a significant direct effect between social media addiction and executive functioning. Indirect effects via two paths (ie, emotional disturbance alone, and both emotional disturbance and sleep quality) were also statistically significant. Discussion The findings indicate that both emotional disturbance and poor sleep quality are risk-enhancing mediators in the relationship between social media addiction and executive functioning. Intervention programs (eg, emotional regulation strategies) should be considered to reduce the adverse effects of social media addiction on cognitive impairment among young adults.
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Affiliation(s)
- Kuo Zhang
- Department of Social Psychology, Zhou Enlai School of Government, Nankai University, Tianjin, 300350, People’s Republic of China
| | - Peiyu Li
- Department of Social Psychology, Zhou Enlai School of Government, Nankai University, Tianjin, 300350, People’s Republic of China
| | - Ying Zhao
- Mental Health Education Center, Yangzhou University, Yangzhou, Jiangsu, 225009, People’s Republic of China
| | - Mark D Griffiths
- International Gaming Research Unit, Psychology Department, Nottingham Trent University, Nottingham, NG1 4FQ, UK
| | - Jingxin Wang
- Academy of Psychology and Behavior, Faculty of Psychology, Tianjin Normal University, Tianjin, People’s Republic of China
| | - Meng Xuan Zhang
- Department of Medical Humanities, School of Humanities, Southeast University, Nanjing, Jiangsu, 211189, People’s Republic of China
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Chen Y, Yu R, DeSouza JFX, Shen Y, Zhang H, Zhu C, Huang P, Wang C. Differential responses from the left postcentral gyrus, right middle frontal gyrus, and precuneus to meal ingestion in patients with functional dyspepsia. Front Psychiatry 2023; 14:1184797. [PMID: 37275967 PMCID: PMC10235475 DOI: 10.3389/fpsyt.2023.1184797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Accepted: 04/21/2023] [Indexed: 06/07/2023] Open
Abstract
Background Functional dyspepsia (FD) is most often a meal-induced syndrome. Studies using resting-state functional magnetic resonance imaging (rs-fMRI) reported abnormal connectivity in areas related to pain processing in FD. However, only a few studies have attempted to determine how meal ingestion affects the brain's working patterns. Through rs-fMRI, this study observed how meal ingestion affected brain regions related to visceral hypersensitivity and emotional response networks in FD patients. Methods A total of 30 FD patients and 32 healthy controls (HC) were enrolled and underwent clinical investigations. Rs-fMRI was performed twice after a 4-h fast and 50 min after a meal. The mean functional connectivity strength (FCS) values were extracted from brain regions with significant differences to show the trend of changes related to meal ingestion after FCS analyses. Results Depression, anxiety, sleep disturbances, and weight loss were more common in FD patients (P ≤ 0.001). Compared with HCs (corrected cluster P-value < 0.05), FD patients had significantly higher FCS in the right middle frontal gyrus before meals and higher meal-induced FCS in the left postcentral gyrus. HCs had greater meal-induced activation in the right precuneus and anterior cingulate cortex. FD patients had a decreasing trend in the right inferior frontal gyrus compared to the increasing trend in HCs. We only found anxiety to be negatively correlated with FCS in the right inferior frontal gyrus in FD (r = -0.459, p = 0.048, uncorrected). Conclusions In this study, we discovered that FD patients have different perceptual and emotional responses to food intake in defined brain areas, providing promising impetus for understanding pathogenic brain mechanisms in FD.
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Affiliation(s)
- Yiping Chen
- Department of Psychiatry, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang, China
| | - Risheng Yu
- Department of Radiology, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang, China
| | - Joseph F. X. DeSouza
- Department of Psychology and Biology, Neuroscience Graduate Diploma Program and Graduate Program in Interdisciplinary Studies, Multisensory Neuroscience Laboratory, Centre for Vision Research, York University, Toronto, ON, Canada
- VISTA and Canadian Action and Perception Network (CAPnet), Toronto, ON, Canada
| | - Yuze Shen
- Department of Psychiatry, First People's Hospital, Hangzhou, China
| | - Hanyun Zhang
- Department of Gastroenterology, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, China
| | - Chunpeng Zhu
- Department of Gastroenterology, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, Zhejiang, China
| | - Caihua Wang
- Department of Gastroenterology, Zhejiang University School of Medicine Second Affiliated Hospital, Hangzhou, China
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10
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Long X, Li L, Wang X, Cao Y, Wu B, Roberts N, Gong Q, Kemp GJ, Jia Z. Gray matter alterations in adolescent major depressive disorder and adolescent bipolar disorder. J Affect Disord 2023; 325:550-563. [PMID: 36669567 DOI: 10.1016/j.jad.2023.01.049] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 12/24/2022] [Accepted: 01/11/2023] [Indexed: 01/19/2023]
Abstract
BACKGROUND Gray matter volume (GMV) alterations in several emotion-related brain areas are implicated in mood disorders, but findings have been inconsistent in adolescents with major depressive disorder (MDD) or bipolar disorder (BD). METHODS We conducted a comprehensive meta-analysis of 35 region-of-interest (ROI) and 18 whole-brain voxel-based morphometry (VBM) MRI studies in adolescent MDD and adolescent BD, and indirectly compared the results in the two groups. The effects of age, sex, and other demographic and clinical scale scores were explored using meta-regression analysis. RESULTS In the ROI meta-analysis, right putamen volume was decreased in adolescents with MDD, while bilateral amygdala volume was decreased in adolescents with BD compared to healthy controls (HC). In the whole-brain VBM meta-analysis, GMV was increased in right middle frontal gyrus and decreased in left caudate in adolescents with MDD compared to HC, while in adolescents with BD, GMV was increased in left superior frontal gyrus and decreased in limbic regions compared with HC. MDD vs BD comparison revealed volume alteration in the prefrontal-limbic system. LIMITATION Different clinical features limit the comparability of the samples, and small sample size and insufficient clinical details precluded subgroup analysis or meta-regression analyses of these variables. CONCLUSIONS Distinct patterns of GMV alterations in adolescent MDD and adolescent BD could help to differentiate these two populations and provide potential diagnostic biomarkers.
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Affiliation(s)
- Xipeng Long
- Department of Nuclear Medicine, West China Hospital of Sichuan University, No. 37 GuoXue Xiang, Chengdu 610041, Sichuan, PR China; Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China
| | - Lei Li
- Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China; Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China
| | - Xiuli Wang
- Department of Clinical Psychiatry, the Fourth People's Hospital of Chengdu, Chengdu 610041, Sichuan, PR China
| | - Yuan Cao
- Department of Nuclear Medicine, West China Hospital of Sichuan University, No. 37 GuoXue Xiang, Chengdu 610041, Sichuan, PR China
| | - Baolin Wu
- Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China; Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China
| | - Neil Roberts
- The Queens Medical Research Institute (QMRI), School of Clinical Sciences, University of Edinburgh, Edinburgh, UK
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China; Department of Radiology, West China Xiamen Hospital of Sichuan University, 699Jinyuan Xi Road, Jimei District, 361021 Xiamen, Fujian, PR China
| | - Graham J Kemp
- Liverpool Magnetic Resonance Imaging Center (LiMRIC) and Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - Zhiyun Jia
- Department of Nuclear Medicine, West China Hospital of Sichuan University, No. 37 GuoXue Xiang, Chengdu 610041, Sichuan, PR China; Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China.
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11
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Schweizer S, Auer T, Hitchcock C, Lee-Carbon L, Rodrigues E, Dalgleish T. Affective Control Training (AffeCT) reduces negative affect in depressed individuals. J Affect Disord 2022; 313:167-176. [PMID: 35792299 DOI: 10.1016/j.jad.2022.06.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 06/09/2022] [Accepted: 06/16/2022] [Indexed: 11/18/2022]
Abstract
Depression is the leading cause of disability worldwide, with prevalence rates rising. Despite the scale of the problem, available pharmacological and psychological interventions only have limited efficacy. The National Institute of Health's Science of Behaviour Change framework proposes to address this issue by capitalising on insights from basic science to identify mechanisms that can be targeted by novel interventions. The current study evaluated the potential of a computerized programme aimed at improving affective control, a mechanistic target involved in both risk and maintenance of depression. In a first phase the cognitive profiles of 48 depressed individuals (mean age: 39 years, 75 % female) were compared to cognitive functioning in 16 never-depressed individuals (mean age: 31 years, 56 % female). The sole index of functioning that differed between diagnostic groups was reaction time across negative and positively valanced trials on an affective Stroop task (d = 0.58). This index was then used to evaluate an affective control training (AffeCT) against a placebo training. Results showed no significant changes on tasks that showed no differences with never-depressed individuals in Phase I. However, compared to placebo training, AffeCT led to significantly greater improvement in the target index, affective Stroop performance (d = 1.17). Importantly, AffeCT led to greater reductions in negative affect as measured by the Positive Affect and Negative Affect Schedule compared to the placebo training (d = 0.98). This proof-of-concept study shows promising benefits of AffeCT on depressed individuals' affect, but not depressive symptoms. It further supports the utility of the Science of Behaviour Change framework, highlighting the need for determining meaningful assays of target mechanisms when evaluating novel interventions.
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Affiliation(s)
- Susanne Schweizer
- University of Cambridge, Department of Psychology, Cambridge, UK; University of New South Wales, School of Psychology, Sydney, Australia.
| | - Tibor Auer
- University of Surrey, School of Psychology, Guildford, UK
| | - Caitlin Hitchcock
- University of Cambridge, Medical Research Council Cognition and Brain Sciences Unit, Cambridge, UK; University of Melbourne, Melbourne School of Psychological Sciences, Melbourne, Australia
| | - Leonie Lee-Carbon
- University of Cambridge, Medical Research Council Cognition and Brain Sciences Unit, Cambridge, UK
| | - Evangeline Rodrigues
- University of Cambridge, Medical Research Council Cognition and Brain Sciences Unit, Cambridge, UK
| | - Tim Dalgleish
- University of Cambridge, Medical Research Council Cognition and Brain Sciences Unit, Cambridge, UK; Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
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12
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Crum J, Ronca F, Herbert G, Funk S, Carmona E, Hakim U, Jones I, Hamer M, Hirsch J, Hamilton A, Tachtsidis I, Burgess PW. Decreased Exercise-Induced Changes in Prefrontal Cortex Hemodynamics Are Associated With Depressive Symptoms. FRONTIERS IN NEUROERGONOMICS 2022; 3:806485. [PMID: 38235451 PMCID: PMC10790946 DOI: 10.3389/fnrgo.2022.806485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 04/27/2022] [Indexed: 01/19/2024]
Abstract
People with a depressed mood tend to perform poorly on executive function tasks, which require much of the prefrontal cortex (PFC), an area of the brain which has also been shown to be hypo-active in this population. Recent research has suggested that these aspects of cognition might be improved through physical activity and cognitive training. However, whether the acute effects of exercise on PFC activation during executive function tasks vary with depressive symptoms remains unclear. To investigate these effects, 106 participants were given a cardiopulmonary exercise test (CPET) and were administered a set of executive function tests directly before and after the CPET assessment. The composite effects of exercise on the PFC (all experimental blocks) showed bilateral activation changes in dorsolateral (BA46/9) and ventrolateral (BA44/45) PFC, with the greatest changes occurring in rostral PFC (BA10). The effects observed in right ventrolateral PFC varied depending on level of depressive symptoms (13% variance explained); the changes in activation were less for higher levels. There was also a positive relationship between CPET scores (VO2peak) and right rostral PFC, in that greater activation changes in right BA10 were predictive of higher levels of aerobic fitness (9% variance explained). Since acute exercise ipsilaterally affected this PFC subregion and the inferior frontal gyrus during executive function tasks, this suggests physical activity might benefit the executive functions these subregions support. And because physical fitness and depressive symptoms explained some degree of cerebral upregulation to these subregions, physical activity might more specifically facilitate the engagement of executive functions that are typically associated with hypoactivation in depressed populations. Future research might investigate this possibility in clinical populations, particularly the neural effects of physical activity used in combination with mental health interventions.
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Affiliation(s)
- James Crum
- Institute of Cognitive Neuroscience, Faculty of Brain Sciences, University College London, London, United Kingdom
| | - Flaminia Ronca
- Institute of Sport Exercise and Health, Faculty of Medical Sciences, University College London, London, United Kingdom
| | - George Herbert
- Institute of Cognitive Neuroscience, Faculty of Brain Sciences, University College London, London, United Kingdom
| | - Sabina Funk
- Institute of Cognitive Neuroscience, Faculty of Brain Sciences, University College London, London, United Kingdom
| | - Estela Carmona
- Institute of Sport Exercise and Health, Faculty of Medical Sciences, University College London, London, United Kingdom
| | - Uzair Hakim
- Department of Medical Physics and Biomedical Engineering, Faculty of Engineering Sciences, University College London, London, United Kingdom
| | - Isla Jones
- Institute of Cognitive Neuroscience, Faculty of Brain Sciences, University College London, London, United Kingdom
| | - Mark Hamer
- Institute of Sport Exercise and Health, Faculty of Medical Sciences, University College London, London, United Kingdom
| | - Joy Hirsch
- Department of Medical Physics and Biomedical Engineering, Faculty of Engineering Sciences, University College London, London, United Kingdom
- Department of Comparative Medicine, School of Medicine, Yale University, New Haven, CT, United States
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT, United States
- Department of Neuroscience, School of Medicine, Yale University, New Haven, CT, United States
| | - Antonia Hamilton
- Institute of Cognitive Neuroscience, Faculty of Brain Sciences, University College London, London, United Kingdom
| | - Ilias Tachtsidis
- Department of Medical Physics and Biomedical Engineering, Faculty of Engineering Sciences, University College London, London, United Kingdom
| | - Paul W. Burgess
- Institute of Cognitive Neuroscience, Faculty of Brain Sciences, University College London, London, United Kingdom
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13
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Dimick MK, Kennedy KG, Mitchell RHB, Sinyor M, MacIntosh BJ, Goldstein BI. Neurostructural differences associated with self-harm in youth bipolar disorder. Bipolar Disord 2022; 24:275-285. [PMID: 34596314 DOI: 10.1111/bdi.13137] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 08/19/2021] [Accepted: 09/25/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Youth with bipolar disorder (BD) are at greatly elevated risk for suicide. Self-harm, encompassing all self-injurious behaviors regardless of suicidal intent, is among one of the greatest risk factors for death by suicide. This study aims to extend the sparse literature regarding the neurostructural correlates of self-harm in youth with BD. METHODS Participants included 156 youth (17.14 ± 1.61 years): 38 BD with lifetime history of self-harm (BDSH+ ), 43 BD without history of self-harm (BDSH- ), and 75 healthy controls (HC). Measures of cortical thickness, surface area (SA), and volume were obtained using 3 T magnetic resonance imaging. Orbitofrontal and ventrolateral prefrontal cortices were examined in region-of-interest (ROI) analyses, complemented by exploratory vertex-wise analyses using a general linear model controlling for age, sex, and intracranial volume. RESULTS In ROI analyses, there were no between-group differences after correction for multiple comparisons. Vertex-wise analysis revealed three significant clusters in precentral gyrus SA, inferior temporal gyrus SA, and caudal middle frontal gyrus volume. Post-hoc vertex-wise analyses showed BDSH+ had lower cortical SA and volume compared with both BDSH- and HC for all clusters. CONCLUSIONS Significant vertex-wise findings were observed in frontotemporal regions relevant to BD and self-harm, with smaller neurostructural measures among BDSH+ compared with both BDSH- and HC. Future studies are needed to evaluate the temporal nature of the relationship of these neurostructural differences (i.e., potential risk indicators) to self-harm and to identify mechanisms underlying these findings.
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Affiliation(s)
- Mikaela K Dimick
- Centre for Youth Bipolar Disorder, Child and Youth Psychiatry Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Pharmacology and Toxicology, University of Toronto Faculty of Medicine, Toronto, Ontario, Canada
| | - Kody G Kennedy
- Centre for Youth Bipolar Disorder, Child and Youth Psychiatry Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Pharmacology and Toxicology, University of Toronto Faculty of Medicine, Toronto, Ontario, Canada
| | - Rachel H B Mitchell
- Department of Psychiatry, University of Toronto Faculty of Medicine, Toronto, Ontario, Canada.,Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Mark Sinyor
- Department of Psychiatry, University of Toronto Faculty of Medicine, Toronto, Ontario, Canada.,Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Bradley J MacIntosh
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Hurvitz Brain Sciences, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Child and Youth Psychiatry Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Pharmacology and Toxicology, University of Toronto Faculty of Medicine, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto Faculty of Medicine, Toronto, Ontario, Canada.,Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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14
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Mechanisms of Repetitive Transcranial Magnetic Stimulation on Post-stroke Depression: A Resting-State Functional Magnetic Resonance Imaging Study. Brain Topogr 2022; 35:363-374. [PMID: 35286526 DOI: 10.1007/s10548-022-00894-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 02/21/2022] [Indexed: 12/25/2022]
Abstract
We aimed to identify neural mechanisms underlying clinical response to repetitive transcranial magnetic stimulation (rTMS) in post-stroke depression (PSD) by the Resting-state functional magnetic resonance imaging (rs-fMRI). Thirty-two depressed patients after ischemic stroke were randomized in a 1:1 ratio to receive 20 min of 5 Hz rTMS or sham over left dorsolateral prefrontal cortex (DLPFC) in addition to routine supportive treatments. The clinical outcome was measured by the 17-item Hamilton Depression Rating Scale (HDRS-17), while the imaging results were acquired from rs-fMRI, including regional homogeneity (ReHo), fractional amplitude of low-frequency fluctuation (fALFF) and seed-based dynamic functional connection (dFC). HRSD-17 scores were improved in the two groups after treatment (P < 0.01), while greater mood improvement was observed in the rTMS group (P < 0.05). Compared with the sham group, the rTMS group demonstrated regions with higher ReHo and fALFF values locating mainly in the left hemisphere and highly consistent with the default mode network (DMN) (p < 0.05). Using the medial prefrontal cortex (mPFC) and posterior cingulate cortex (PCC) as seeds, significant difference between the two groups in dFC within the DMN was found after treatment, including 10 connections with increased connectivity strength and 2 connections with reduced connectivity strength. The ReHo, fALFF and dFC values within DMN in the rTMS group were negatively correlated with the HDRS scores after treatment (P < 0.05). Our results indicated reductions in depressive symptoms following rTMS in PSD are associated with functional alterations of different depression-related areas within the DMN.
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15
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Zhang S, Zhang Y, Ma W, Qi Z, Wang Y, Tao Q. Neural Correlates of Negative Emotion Processing in Subthreshold Depression. Soc Cogn Affect Neurosci 2022; 17:655-661. [PMID: 35156124 PMCID: PMC9250298 DOI: 10.1093/scan/nsac003] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 10/30/2021] [Accepted: 02/11/2022] [Indexed: 11/12/2022] Open
Abstract
Abstract
Subthreshold depression (SD) is regarded as a major risk factor for major depression. However, little is known about the neural mechanism of negative emotion processing in SD. The study aimed to examine the differentiate neural correlates for negative emotion processing in SD and health controls (HC) and to investigate changes in functional connectivity in SD compared with HC. BOLD responses of SD and HC were captured while performing a passive viewing task, which comprised a negative condition and a masked condition. A total of 42 SD and 32 HC adolescents participated the study. Between-group comparisons revealed significant reduced activations in the superior frontal gyrus (SFG), middle frontal gyrus (MFG), and middle cingulate gyrus. Region of interest (ROI) analyses did not find correlations between contrast values of the ROIs and depressive symptoms. In addition, we found significant increased functional connectivity between the SFG and caudate, pallidum, and insula, which were significantly correlated with depressive symptoms in the SD group (P < 0.05). Altered functional connectivity between the SFG and caudate, pallidum, and insula may underlie the pathology of SD. This is the first study to investigate neural mechanisms of negative emotion processing in SD using task-based fMRI.
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Affiliation(s)
- Shu Zhang
- Department of Public Health and Preventive Medicine, School of Basic Medicine and Public Health, Jinan University, Guangzhou 510632, China
- Division of Medical Psychology and Behavior Science, School of Basic Medicine and Public Health, Jinan University, Guangzhou 510632, China
| | - Yuan Zhang
- Department of Public Health and Preventive Medicine, School of Basic Medicine and Public Health, Jinan University, Guangzhou 510632, China
- Division of Medical Psychology and Behavior Science, School of Basic Medicine and Public Health, Jinan University, Guangzhou 510632, China
| | - Wenhao Ma
- Department of Public Health and Preventive Medicine, School of Basic Medicine and Public Health, Jinan University, Guangzhou 510632, China
- Division of Medical Psychology and Behavior Science, School of Basic Medicine and Public Health, Jinan University, Guangzhou 510632, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510632, China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510632, China
| | - Qian Tao
- Department of Public Health and Preventive Medicine, School of Basic Medicine and Public Health, Jinan University, Guangzhou 510632, China
- Division of Medical Psychology and Behavior Science, School of Basic Medicine and Public Health, Jinan University, Guangzhou 510632, China
- Center for Brain Science and Brain-Inspired Intelligence, Guangdong-Hong Kong-Macao Greater Bay Area, Guangzhou 510515, China
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16
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Pizzagalli DA, Roberts AC. Prefrontal cortex and depression. Neuropsychopharmacology 2022; 47:225-246. [PMID: 34341498 PMCID: PMC8617037 DOI: 10.1038/s41386-021-01101-7] [Citation(s) in RCA: 169] [Impact Index Per Article: 84.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 06/26/2021] [Accepted: 06/28/2021] [Indexed: 01/03/2023]
Abstract
The prefrontal cortex (PFC) has emerged as one of the regions most consistently impaired in major depressive disorder (MDD). Although functional and structural PFC abnormalities have been reported in both individuals with current MDD as well as those at increased vulnerability to MDD, this information has not translated into better treatment and prevention strategies. Here, we argue that dissecting depressive phenotypes into biologically more tractable dimensions - negative processing biases, anhedonia, despair-like behavior (learned helplessness) - affords unique opportunities for integrating clinical findings with mechanistic evidence emerging from preclinical models relevant to depression, and thereby promises to improve our understanding of MDD. To this end, we review and integrate clinical and preclinical literature pertinent to these core phenotypes, while emphasizing a systems-level approach, treatment effects, and whether specific PFC abnormalities are causes or consequences of MDD. In addition, we discuss several key issues linked to cross-species translation, including functional brain homology across species, the importance of dissecting neural pathways underlying specific functional domains that can be fruitfully probed across species, and the experimental approaches that best ensure translatability. Future directions and clinical implications of this burgeoning literature are discussed.
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Affiliation(s)
- Diego A Pizzagalli
- Department of Psychiatry, Harvard Medical School & McLean Hospital, Belmont, MA, USA.
| | - Angela C Roberts
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK.
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17
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Clarke PJF, Todd J. Lessons unlearned: A conceptual review and meta-analysis of the relationship between the Attention Control Scale and Objective Attention Control. Cogn Emot 2021; 35:1447-1459. [PMID: 34672869 DOI: 10.1080/02699931.2021.1987861] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Attention control is central to many models of emotion. Among the most common measures of attention, control is the Attention Control Scale (ACS), which has exerted considerable influence in terms of the volume and breadth of research findings, with its use in cognitive-experimental research continuing to increase in recent years. However, there are growing concerns about whether the ACS genuinely indexes attention control. The present paper considers the context and development of the ACS, reviews and meta-analyses the available evidence regarding its association with objective measures of attention control. Meta-analytic results from nine studies (total n = 1274) indicated that the full-scale ACS was not significantly associated with behavioural measures of attentional control (r = .067, p = .093, N = 1274, 95% CI: -.011, .145). Findings indicated likely missing studies with lower correlations suggesting the true association may be smaller. Limited evidence of shared variance between subjective and objective measures of attention control contrasts with considerable evidence that the scale is closely correlated with dispositional traits (e.g. anxiety, agreeableness) that could plausibly influence responding. Thus, on the balance of current findings, we conclude that there is little compelling evidence that responding on the ACS reflects genuine attention control abilities.
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Affiliation(s)
- Patrick J F Clarke
- Affective, Behavioural, and Cognitive Neuroscience Group, Curtin University, Bentley, WA, Australia
| | - Jemma Todd
- Clinical Psychology Unit, School of Psychology, University of Sydney, Camperdown, NSW, Australia
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18
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Moore M, Maclin EL, Iordan AD, Katsumi Y, Larsen RJ, Bagshaw AP, Mayhew S, Shafer AT, Sutton BP, Fabiani M, Gratton G, Dolcos F. Proof-of-concept evidence for trimodal simultaneous investigation of human brain function. Hum Brain Mapp 2021; 42:4102-4121. [PMID: 34160860 PMCID: PMC8357002 DOI: 10.1002/hbm.25541] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 04/04/2021] [Accepted: 05/13/2021] [Indexed: 12/03/2022] Open
Abstract
The link between spatial (where) and temporal (when) aspects of the neural correlates of most psychological phenomena is not clear. Elucidation of this relation, which is crucial to fully understand human brain function, requires integration across multiple brain imaging modalities and cognitive tasks that reliably modulate the engagement of the brain systems of interest. By overcoming the methodological challenges posed by simultaneous recordings, the present report provides proof‐of‐concept evidence for a novel approach using three complementary imaging modalities: functional magnetic resonance imaging (fMRI), event‐related potentials (ERPs), and event‐related optical signals (EROS). Using the emotional oddball task, a paradigm that taps into both cognitive and affective aspects of processing, we show the feasibility of capturing converging and complementary measures of brain function that are not currently attainable using traditional unimodal or other multimodal approaches. This opens up unprecedented possibilities to clarify spatiotemporal integration of brain function.
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Affiliation(s)
- Matthew Moore
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Edward L Maclin
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Alexandru D Iordan
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Psychology, University of Michigan, Ann Arbor, Michigan, USA
| | - Yuta Katsumi
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Psychology, Northeastern University, Boston, Massachusetts, USA
| | - Ryan J Larsen
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Andrew P Bagshaw
- Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, UK
| | - Stephen Mayhew
- Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, UK
| | - Andrea T Shafer
- Centre for Neuroscience, University of Alberta, Alta., Canada; now at Laboratory of Behavioral Neuroscience, Brain Imaging and Behavior Section, National Institute on Aging, Baltimore, Maryland, USA
| | - Bradley P Sutton
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Monica Fabiani
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA
| | - Gabriele Gratton
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA
| | - Florin Dolcos
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA
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19
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Altered spontaneous neural activity in the precuneus, middle and superior frontal gyri, and hippocampus in college students with subclinical depression. BMC Psychiatry 2021; 21:280. [PMID: 34074266 PMCID: PMC8167968 DOI: 10.1186/s12888-021-03292-1] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 05/10/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Subclinical depression (ScD) is a prevalent condition associated with relatively mild depressive states, and it poses a high risk of developing into major depressive disorder (MDD). However, the neural pathology of ScD is still largely unknown. Identifying the spontaneous neural activity involved in ScD may help clarify risk factors for MDD and explore treatment strategies for mild stages of depression. METHODS A total of 34 ScD subjects and 40 age-, sex-, and education-matched healthy controls were screened from 1105 college students. The amplitude of low-frequency fluctuation (ALFF) and regional homogeneity (ReHo) of resting-state fMRI were calculated to reveal neural activity. Strict statistical strategies, including Gaussian random field (GRF), false discovery rate (FDR), and permutation test (PT) with threshold-free cluster enhancement (TFCE), were conducted. Based on the altered ALFF and ReHo, resting-state functional connectivity (RSFC) was further analyzed using a seed-based approach. RESULTS The right precuneus and left middle frontal gyrus (MFG) both showed significantly increased ALFF and ReHo in ScD subjects. Moreover, the left hippocampus and superior frontal gyrus (SFG) showed decreased ALFF and increased ReHo, respectively. In addition, ScD subjects showed increased RSFC between MFG and hippocampus compared to healthy controls, and significant positive correlation was found between the Beck Depression Inventory-II (BDI-II) score and RSFC from MFG to hippocampus in ScD group. CONCLUSION Spontaneous neural activities in the right precuneus, left MFG, SFG, and hippocampus were altered in ScD subjects. Functional alterations in these dorsolateral prefrontal cortex and default mode network regions are largely related to abnormal emotional processing in ScD, and indicate strong associations with brain impairments in MDD, which provide insight into potential pathophysiology mechanisms of subclinical depression.
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20
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Li X, Wang J. Abnormal neural activities in adults and youths with major depressive disorder during emotional processing: a meta-analysis. Brain Imaging Behav 2021; 15:1134-1154. [PMID: 32710330 DOI: 10.1007/s11682-020-00299-2] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Abnormal neural activities during emotional processing have been found in both adults and youths with major depressive disorder. However, findings were inconsistent in each group and cannot be compared to each other. METHODS We first identified neuroimaging experiments that revealed abnormal neural activities during emotional processing in patients with major depressive disorder published from January 1997 to January 2019. Then we conducted voxel-wise meta-analyses on adult and youth patients separately and compared the two age groups using direct meta-comparison. RESULTS Fifty-four studies comprising 1141 patients and 1242 healthy controls were identified. Both adult and youth patients showed abnormal neural activities in anterior cingulate cortex, insula, superior and middle temporal gyrus, and occipital cortex compared to healthy controls. However, hyperactivities in the superior and middle frontal gyrus, amygdala, and hippocampus were only observed in adult patients, while hyperactivity in the striatum was only found in youth patients compared to controls. In addition, compared with youths, adult patients exhibited significantly greater abnormal activities in insula, middle frontal gyrus, and hippocampus, and significantly lower abnormal activities in middle temporal gyrus, middle occipital gyrus, lingual gyrus, and striatum. CONCLUSIONS The common alterations confirmed the negative processing bias in major depressive disorder. Both adult and youth patients were suggested to have disturbed emotional perception, appraisal, and reactivity. However, adult patients might be more subject to the impaired appraisal and reactivity processes, while youth patients were more subject to the impaired perception process. These findings help us understand the progressive pathophysiology of major depressive disorder.
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Affiliation(s)
- Xuqian Li
- Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, 510006, China.,School of Psychology, The University of Queensland, Brisbane, 4067, Australia
| | - Junjing Wang
- Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, 510006, China.
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21
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Barraclough M, McKie S, Parker B, Elliott R, Bruce IN. The effects of disease activity on neuronal and behavioural cognitive processes in systemic lupus erythematosus. Rheumatology (Oxford) 2021; 61:195-204. [PMID: 33760068 DOI: 10.1093/rheumatology/keab256] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES Factors common across many chronic diseases, such as fatigue and depression affect cognitive dysfunction (CD) but the effect of systemic lupus erythematosus (SLE) disease activity on CD remains unclear. We aimed to explore the effects of disease activity in SLE on cognitive function whilst taking into consideration other potential mediators. METHODS Two groups of SLE patients were recruited; stable/low disease activity (SLE-S, n = 36) and active disease (SLE-F, n = 26). The SLE-F group were studied during a flare; with a second visit when disease activity had reduced. In addition to demographic, clinical and psychiatric data, CD was measured using a computerised battery of tests (CANTAB®). fMRI was used to examine neuronal responses to working memory and emotional processing tasks. RESULTS No differences between the groups/visits were found using the CANTAB® battery. The fMRI results showed that the SLE-F group had a less attenuated response in the medial prefrontal cortex (a default mode network-DMN region) compared with the SLE-S group during the working memory task (p = 0.012). Exploratory correlations within the SLE-F group showed associations between neuronal responses and depression, cognitive fatigue, disease activity measures and IL-6. CONCLUSION Functional brain processes but not cognitive behavioural measures were affected by disease activity. Flaring SLE patients were less able to suppress DMN regions during a working memory task. This could reflect emotional interference during cognitive tasks and may cause cognitive fatigue. A number of factors are associated with brain function in flaring patients, which has potential implications for holistic treatments.
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Affiliation(s)
- Michelle Barraclough
- Centre for Epidemiology Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK and NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Shane McKie
- FBMH Platform Sciences, Enabling Technologies & Infrastructure, FBMH Research & Innovation, The University of Manchester & Manchester Academic Health Science Centre, Manchester, UK
| | - Ben Parker
- Centre for Epidemiology Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK and NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Rebecca Elliott
- Neuroscience and Psychiatry Unit, Division of Neuroscience and Experimental Psychology, The University of Manchester, Manchester, UK
| | - Ian N Bruce
- Centre for Epidemiology Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK and NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
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22
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Shafer AT, Benoit JR, Brown MRG, Greenshaw AJ, Van Vliet KJ, Vohra S, Dolcos F, Singhal A. Differences in attentional control and white matter microstructure in adolescents with attentional, affective, and behavioral disorders. Brain Imaging Behav 2021; 14:599-614. [PMID: 31838614 DOI: 10.1007/s11682-019-00211-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Adolescence is a critical time of physiological, cognitive, and social development. It is also a time of increased risk-taking and vulnerability for psychopathology. White matter (WM) changes during adolescence have been better elucidated in the last decade, but how WM is impacted by psychopathology during this time remains unclear. Here, we examined the link between WM microstructure and psychopathology during adolescence. Twenty youth diagnosed with affective, attentional, and behavioral disorders (clinical sample), and 20 age-matched controls were recruited to examine group differences in WM microstructure, attentional control, and the link between them. The main results showed that clinical sample had relatively lower attentional control and fractional anisotropy (FA) in WM throughout the brain: two association tracts were identified, and many differences were found in areas rich in callosal and projection fibers. Moreover, increased FA was positively associated with attention performance in the clinical sample in structures supporting ventral WM pathways, whereas a similar link was identified in controls in dorsal WM association fibers. Overall, these results support a model of general impairment in WM microstructure combined with reliance on altered, perhaps less efficient, pathways for attentional control in youth with affective, attentional, and behavioral disorders.
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Affiliation(s)
- Andrea T Shafer
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA.
| | - James R Benoit
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | - Matthew R G Brown
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | - Andy J Greenshaw
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada.,Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
| | - K Jessica Van Vliet
- Department of Educational Psychology, University of Alberta, Edmonton, AB, Canada
| | - Sunita Vohra
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada.,Departments of Pediatrics and Medicine, University of Alberta, Edmonton, AB, Canada
| | - Florin Dolcos
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada.,Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada.,Psychology Department and Neuroscience Program, University of Illinois, Urbana-Champaign, IL, USA.,Beckman Institute for Advanced Science & Technology, University of Illinois, Urbana-Champaign, IL, USA
| | - Anthony Singhal
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada. .,Department of Psychology, University of Alberta, Edmonton, AB, Canada.
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Fournier JC, Roberts NJ, Ford KL. Personality and psychopathology: In defense of a practical path toward integrating psychometric and biological approaches to advance a comprehensive model. J Pers 2020; 90:61-74. [PMID: 33135156 DOI: 10.1111/jopy.12605] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 10/27/2020] [Indexed: 12/14/2022]
Abstract
Personality and psychopathology each reflect patterns of internal experience and outward behavior that differ between people and affect functioning. Drawing strict distinctions between the two concepts is not only difficult, but it may prove unnecessary for advancing an integrated model of psychological experiences associated with mental illness. We argue that developing such a model will be critical for improving treatment outcomes, and we discuss a practical path forward. Proponents of psychometric approaches to developing models of psychological experience focus on observable phenotypes and utilize statistical methods to describe patterns of covariation among a broad range of symptoms and dispositions. Advocates of biologically based approaches emphasize neuroscientific tools for identifying abnormalities in brain function that give rise to an individual's experience. There is substantial evidence that measures of personality and measures of symptoms capture nonoverlapping, clinically important information for understanding how and for whom treatments for mental illness work. In this article, we highlight the importance of combining psychometric and neurobiological approaches in order to understand which features of an individual those measures reflect, which aspects of neurobiology generate and maintain those features, how they relate to each other, and critically, how best to alter them to reduce distress and dysfunction.
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Affiliation(s)
- Jay C Fournier
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Nicole J Roberts
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Katy Lauren Ford
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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24
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Stewart JL, White EJ, Kuplicki R, Akeman E, Paulus MP, Aupperle RL, Khalsa SS, Savitz JB, Victor TA, Paulus MP, Aupperle RL. Women with Major Depressive Disorder, Irrespective of Comorbid Anxiety Disorders, Show Blunted Bilateral Frontal Responses during Win and Loss Anticipation. J Affect Disord 2020; 273:157-166. [PMID: 32421596 PMCID: PMC7306441 DOI: 10.1016/j.jad.2020.04.064] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 02/25/2020] [Accepted: 04/27/2020] [Indexed: 01/19/2023]
Abstract
BACKGROUND Electroencephalography (EEG) studies suggest that major depressive disorder (MDD) is associated with lower left than right frontal brain activity (asymmetry), a pattern appearing stronger in women than men, and when elicited during emotionally-relevant paradigms versus an uncontrolled resting state. However, it is unclear whether this asymmetry pattern generalizes to the common presentation of MDD with co-occurring anxiety. Moreover, asymmetry may differ for anxiety subtypes, wherein anxious apprehension (AnxApp: worry characteristic of generalized anxiety disorder) appears left-lateralized, but anxious arousal (AnxAro: panic characteristic of social anxiety, posttraumatic stress, and panic disorders) may be right-lateralized. METHODS This analysis attempted to replicate frontal EEG asymmetry patterns using functional magnetic resonance imaging (fMRI). Participants completed clinical interviews and a monetary incentive delay (MID) task during fMRI recording. We compared five groups of right-handed women from the Tulsa 1000 study, MDD (n=40), MDD-AnxApp (n=26), MDD-AnxAro (n=34), MDD-Both (with AnxApp and AnxAro; n=26), and healthy controls (CTL; n=24), as a function of MID anticipation condition (no win/loss, win, loss) and hemisphere on frontal blood oxygen-level-dependent (BOLD) signal. RESULTS CTL exhibited higher bilateral superior, middle, and inferior middle frontal gyrus BOLD signal than the four MDD groups for high arousal (win and loss) conditions. However, frontal attenuations were unrelated to current depression/anxiety symptoms, suggestive of a trait as opposed to a state marker. LIMITATIONS This was a cross-sectional analysis restricted to women. CONCLUSIONS Reduced prefrontal cortex recruitment during processing of both positively and negatively valenced stimuli is consistent with the emotion context insensitivity theory of MDD.
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Affiliation(s)
- Jennifer L. Stewart
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, USA,Department of Community Medicine, Oxley Health Sciences, University of Tulsa, 800 South Tucker Drive, Tulsa, OK 74104, USA,Corresponding author: Jennifer L. Stewart, Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136; phone: (918) 502-5106;
| | - Evan J. White
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, USA
| | - Rayus Kuplicki
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, USA
| | - Elisabeth Akeman
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, USA
| | - T1000 Investigators
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, USA
| | - Martin P. Paulus
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, USA,Department of Community Medicine, Oxley Health Sciences, University of Tulsa, 800 South Tucker Drive, Tulsa, OK 74104, USA
| | - Robin L. Aupperle
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK 74136, USA,Department of Community Medicine, Oxley Health Sciences, University of Tulsa, 800 South Tucker Drive, Tulsa, OK 74104, USA
| | - Sahib S Khalsa
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK, 74136, USA
| | - Jonathan B Savitz
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK, 74136, USA
| | - Teresa A Victor
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK, 74136, USA
| | - Martin P Paulus
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK, 74136, USA; Department of Community Medicine, Oxley Health Sciences, University of Tulsa, 800 South Tucker Drive, Tulsa, OK, 74104, USA
| | - Robin L Aupperle
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK, 74136, USA; Department of Community Medicine, Oxley Health Sciences, University of Tulsa, 800 South Tucker Drive, Tulsa, OK, 74104, USA
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25
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Coussement C, de Vega MR, Heeren A. The Impact of Anodal tDCS on the Attentional Networks as a Function of Trait Anxiety and Depressive Symptoms: A Preregistered Double-Blind Sham-Controlled Experiment. CLINICAL NEUROPSYCHIATRY 2020; 17:225-235. [PMID: 34908998 PMCID: PMC8629077 DOI: 10.36131/cnfioritieditore20200404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE Attention is a multifaceted construct, including three distinct attentional networks: the alerting, orienting, and executive conflict networks. Recently, researchers have started to envision strategies to enhance the attentional networks, and transcranial Direct Current Stimulation (tDCS) has emerged as a promising tool to do so, especially regarding the executive conflict network. On the other hand, other research lines have suggested that anodal tDCS might yield more substantial impacts among depressive and anxious participants. METHOD In this preregistered study, we thus examined two questions. First, we wanted to replicate previous observations and tested whether anodal tDCS does improve the executive conflict network's efficiency. Second, we set out to clarify the impact of anxiety and depressive symptoms on this effect. To do so, we adopted a double-blind within-subject protocol in an unselected sample (n = 50) and delivered a single session of anodal- applied over the dorsolateral part of the left prefrontal cortex-versus sham tDCS during the completion of a task assessing the attentional networks. We assessed anxiety and depressive symptoms at baseline. RESULTS AND CONCLUSIONS Although there were no significant direct effects of tDCS on the attentional networks, we found that the higher the levels of depression and trait anxiety, the larger the executive conflict network's enhancement during tDCS. By highlighting the importance of trait anxiety and depression when considering the impact of tDCS on the attentional networks, this study fulfills a valuable niche in clinical neuroscience, wherein preclinical data provide critical clues for larger, more definitive future translational efforts.
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Affiliation(s)
- Charlotte Coussement
- Psychological Sciences Research Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium,Department of Clinical Research and Scientific Publications, Le Beau Vallon – Psychiatric Hospital, Namur, Belgium
| | | | - Alexandre Heeren
- Psychological Sciences Research Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium,Institute of Neuroscience, Université catholique de Louvain, Brussels, Belgium,Corresponding author Alexandre Heeren, Psychological Sciences Research Institute, Université catholique de Louvain, 10 Place du Cardinal Mercier, 1348 Louvain-la-Neuve, Belgium. E-mail:
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26
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Zhao J, Huang J, Zhi D, Yan W, Ma X, Yang X, Li X, Ke Q, Jiang T, Calhoun VD, Sui J. Functional network connectivity (FNC)-based generative adversarial network (GAN) and its applications in classification of mental disorders. J Neurosci Methods 2020; 341:108756. [PMID: 32380227 PMCID: PMC7367699 DOI: 10.1016/j.jneumeth.2020.108756] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 03/20/2020] [Accepted: 04/28/2020] [Indexed: 02/05/2023]
Abstract
As a popular deep learning method, generative adversarial networks (GAN) have achieved outstanding performance in multiple classifications and segmentation tasks. However, the application of GANs to fMRI data is relatively rare. In this work, we proposed a functional network connectivity (FNC) based GAN for classifying psychotic disorders from healthy controls (HCs), in which FNC matrices were calculated by correlation of time courses derived from non-artefactual fMRI independent components (ICs). The proposed GAN model consisted of one discriminator (real FNCs) and one generator (fake FNCs), each has four fully-connected layers. The generator was trained to match the discriminator in the intermediate layers while simultaneously a new objective loss was determined for the generator to improve the whole classification performance. In a case for classifying 269 major depressive disorder (MDD) patients from 286 HCs, an average accuracy of 70.1% was achieved in 10-fold cross-validation, with at least 6% higher compared to the other 6 popular classification approaches (54.5-64.2%). In another application to discriminating 558 schizophrenia patients from 542 HCs from 7 sites, the proposed GAN model achieved 80.7% accuracy in leave-one-site-out prediction, outperforming support vector machine (SVM) and deep neural net (DNN) by 3%-6%. More importantly, we are able to identify the most contributing FNC nodes and edges with the strategy of leave-one-FNC-out recursively. To the best of our knowledge, this is the first attempt to apply the GAN model on the FNC-based classification of mental disorders. Such a framework promises wide utility and great potential in neuroimaging biomarker identification.
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Affiliation(s)
- Jianlong Zhao
- Department of Automation, Harbin University of Science and Technology, Harbin, 150080, China; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Jinjie Huang
- Department of Automation, Harbin University of Science and Technology, Harbin, 150080, China.
| | - Dongmei Zhi
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100190, China
| | - Weizheng Yan
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100190, China
| | - Xiaohong Ma
- Psychiatric Laboratory and Mental Health Center, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan, 610041, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, 610041, China
| | - Xiao Yang
- Psychiatric Laboratory and Mental Health Center, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan, 610041, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, 610041, China
| | - Xianbin Li
- Beijing Key Lab of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Qing Ke
- Department of Neurology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Tianzi Jiang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100190, China; CAS Center for Excellence in Brain Science, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Vince D Calhoun
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Center, Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, 30303, USA
| | - Jing Sui
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100190, China; CAS Center for Excellence in Brain Science, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
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27
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Dissociated deficits in attentional networks in social anxiety and depression. SCIENCE CHINA. LIFE SCIENCES 2020; 63:1071-1078. [PMID: 32112270 DOI: 10.1007/s11427-019-1624-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Accepted: 01/08/2020] [Indexed: 01/19/2023]
Abstract
A critical cognitive symptom that is commonly involved in social anxiety and depression is attentional deficit. However, the functional relationship between attentional deficit and these two disorders remains poorly understood. Here, we behaviorally disentangled the three key attentional components (alerting, orienting, and executive control) using the established attentional network task (ANT) to investigate how social anxiety and depression are related to deficits in these attention components. We identified a double dissociation between the symptoms of social anxiety and depression and the attentional component deficits when processing non-emotional stimuli. While individuals vulnerable to social anxiety exhibited deficits in the orienting component, individuals vulnerable to depression were impaired in the executive control component. Our findings showed that social anxiety and depression were associated with deficits in different attentional components, which are not specific to emotional information.
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28
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Rakesh D, Allen NB, Whittle S. Balancing act: Neural correlates of affect dysregulation in youth depression and substance use - A systematic review of functional neuroimaging studies. Dev Cogn Neurosci 2020; 42:100775. [PMID: 32452461 PMCID: PMC7139159 DOI: 10.1016/j.dcn.2020.100775] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 03/03/2020] [Accepted: 03/09/2020] [Indexed: 12/22/2022] Open
Abstract
Both depression and substance use problems have their highest incidence during youth (i.e., adolescence and emerging adulthood), and are characterized by emotion regulation deficits. Influential neurodevelopmental theories suggest that alterations in the function of limbic and frontal regions render youth susceptible to these deficits. However, whether depression and substance use in youth are associated with similar alterations in emotion regulation neural circuitry is unknown. In this systematic review we synthesized the results of functional magnetic resonance imaging (fMRI) studies investigating the neural correlates of emotion regulation in youth depression and substance use. Resting-state fMRI studies focusing on limbic connectivity were also reviewed. While findings were largely inconsistent within and between studies of depression and substance use, some patterns emerged. First, youth depression appears to be associated with exaggerated amygdala activity in response to negative stimuli; second, both depression and substance use appear to be associated with lower functional connectivity between the amygdala and prefrontal cortex during rest. Findings are discussed in relation to support for existing neurodevelopmental models, and avenues for future work are suggested, including studying neurodevelopmental trajectories from a network perspective.
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Affiliation(s)
- Divyangana Rakesh
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Melbourne, Victoria, Australia
| | - Nicholas B Allen
- Department of Psychology, University of Oregon, Eugene, Oregon, USA
| | - Sarah Whittle
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Melbourne, Victoria, Australia; Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria, Australia.
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29
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Hubbard NA, Siless V, Frosch IR, Goncalves M, Lo N, Wang J, Bauer CCC, Conroy K, Cosby E, Hay A, Jones R, Pinaire M, Vaz De Souza F, Vergara G, Ghosh S, Henin A, Hirshfeld-Becker DR, Hofmann SG, Rosso IM, Auerbach RP, Pizzagalli DA, Yendiki A, Gabrieli JDE, Whitfield-Gabrieli S. Brain function and clinical characterization in the Boston adolescent neuroimaging of depression and anxiety study. Neuroimage Clin 2020; 27:102240. [PMID: 32361633 PMCID: PMC7199015 DOI: 10.1016/j.nicl.2020.102240] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 03/09/2020] [Accepted: 03/10/2020] [Indexed: 12/28/2022]
Abstract
We present a Human Connectome Project study tailored toward adolescent anxiety and depression. This study is one of the first studies of the Connectomes Related to Human Diseases initiative and is collecting structural, functional, and diffusion-weighted brain imaging data from up to 225 adolescents (ages 14-17 years), 150 of whom are expected to have a current diagnosis of an anxiety and/or depressive disorder. Comprehensive clinical and neuropsychological evaluations and longitudinal clinical data are also being collected. This article provides an overview of task functional magnetic resonance imaging (fMRI) protocols and preliminary findings (N = 140), as well as clinical and neuropsychological characterization of adolescents. Data collection is ongoing for an additional 85 adolescents, most of whom are expected to have a diagnosis of an anxiety and/or depressive disorder. Data from the first 140 adolescents are projected for public release through the National Institutes of Health Data Archive (NDA) with the timing of this manuscript. All other data will be made publicly-available through the NDA at regularly scheduled intervals. This article is intended to serve as an introduction to this project as well as a reference for those seeking to clinical, neurocognitive, and task fMRI data from this public resource.
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Affiliation(s)
- N A Hubbard
- Massachusetts Institute of Technology, Cambridge, MA, United States; University of Nebraska-Lincoln, Lincoln, NE, United States
| | - V Siless
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - I R Frosch
- Massachusetts Institute of Technology, Cambridge, MA, United States
| | - M Goncalves
- Massachusetts Institute of Technology, Cambridge, MA, United States
| | - N Lo
- Massachusetts Institute of Technology, Cambridge, MA, United States
| | - J Wang
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - C C C Bauer
- Massachusetts Institute of Technology, Cambridge, MA, United States
| | - K Conroy
- Boston University, Boston, MA, United States
| | - E Cosby
- Harvard Medical School, Boston, MA, United States; McLean Hospital, Belmont, MA, United States
| | - A Hay
- Boston University, Boston, MA, United States
| | - R Jones
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - M Pinaire
- Boston University, Boston, MA, United States
| | - F Vaz De Souza
- Harvard Medical School, Boston, MA, United States; Massachusetts General Hospital, Boston, MA, United States
| | - G Vergara
- Harvard Medical School, Boston, MA, United States; McLean Hospital, Belmont, MA, United States
| | - S Ghosh
- Massachusetts Institute of Technology, Cambridge, MA, United States; Harvard Medical School, Boston, MA, United States
| | - A Henin
- Harvard Medical School, Boston, MA, United States; Massachusetts General Hospital, Boston, MA, United States
| | - D R Hirshfeld-Becker
- Harvard Medical School, Boston, MA, United States; Massachusetts General Hospital, Boston, MA, United States
| | - S G Hofmann
- Boston University, Boston, MA, United States
| | - I M Rosso
- Harvard Medical School, Boston, MA, United States; McLean Hospital, Belmont, MA, United States
| | - R P Auerbach
- Columbia University, New York, NY, United States
| | - D A Pizzagalli
- Harvard Medical School, Boston, MA, United States; McLean Hospital, Belmont, MA, United States
| | - A Yendiki
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - J D E Gabrieli
- Massachusetts Institute of Technology, Cambridge, MA, United States
| | - S Whitfield-Gabrieli
- Massachusetts Institute of Technology, Cambridge, MA, United States; Northeastern University, Boston, MA, United States.
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30
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Cui L, Wang F, Yin Z, Chang M, Song Y, Wei Y, Lv J, Zhang Y, Tang Y, Gong X, Xu K. Effects of the LHPP gene polymorphism on the functional and structural changes of gray matter in major depressive disorder. Quant Imaging Med Surg 2020; 10:257-268. [PMID: 31956547 DOI: 10.21037/qims.2019.12.01] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background A single-nucleotide polymorphism (SNP) of the LHPP gene (rs35936514) has been reported to be associated with major depressive disorder (MDD) in genome-wide association studies. However, the systems-level neural effects of rs35936514 that mediate the association are unknown. We hypothesized that variations in rs35936514 would be associated with structural and functional changes in gray matter (GM) at rest in MDD patients. Methods A total of 50 MDD patients and 113 healthy controls (HCs) were studied. Functional connectivity (FC) was analyzed by defining the bilateral hippocampus as the seed region. Voxel-based morphometry (VBM) was performed to assess the patterns of GM volume. The subjects were further divided into two groups: a CC homozygous group (CC; 24 MDD and 56 HC) and a risk T-allele carrier group (CT/TT genotypes; 26 MDD and 57 HC). A 2×2 analysis of variance (ANOVA: diagnosis × genotype) was used to determine the interaction effects and main effect (P<0.05). Results Significant diagnosis × genotype interaction effects on brain morphology and FC were noted. Compared to other subgroups, the MDD patients with the T allele showed an increased hippocampal FC in the bilateral calcarine cortex and cuneus and a decreased hippocampal FC in the right dorsolateral prefrontal cortex (DLPFC), bilateral anterior cingulate cortex (ACC), and medial prefrontal cortex (MPFC), in addition to reduced GM volume in the right DLPFC, bilateral temporal cortex, and posterior cingulate cortex (PCC). Conclusions LHPP gene polymorphisms may affect functional and structural changes in the GM at rest and may play an important role in the pathophysiological mechanisms of MDD.
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Affiliation(s)
- Lingling Cui
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang 110001, China.,State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Fei Wang
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang 110001, China.,Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang 110001, China.,Brain Function Research Sections, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - Zhiyang Yin
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang 110001, China.,Brain Function Research Sections, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - Miao Chang
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang 110001, China.,Brain Function Research Sections, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - Yanzhuo Song
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang 110001, China.,Brain Function Research Sections, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - Yange Wei
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang 110001, China.,Brain Function Research Sections, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - Jing Lv
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang 110001, China.,Brain Function Research Sections, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - Yifan Zhang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang 110001, China.,Brain Function Research Sections, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang 110001, China.,Brain Function Research Sections, The First Affiliated Hospital of China Medical University, Shenyang 110001, China.,Department of Geriatrics, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - Xiaohong Gong
- State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Ke Xu
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
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31
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Lopez KC, Kandala S, Marek S, Barch DM. Development of Network Topology and Functional Connectivity of the Prefrontal Cortex. Cereb Cortex 2019; 30:2489-2505. [DOI: 10.1093/cercor/bhz255] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 09/17/2019] [Indexed: 01/08/2023] Open
Abstract
Abstract
The prefrontal cortex (PFC) comprises distinct regions and networks that vary in their trajectories across development. Further understanding these diverging trajectories may elucidate the neural mechanisms by which distinct PFC regions contribute to cognitive maturity. In particular, it remains unclear whether PFC regions of distinct network affiliations differ in topology and their relationship to cognition. We examined 615 individuals (8–21 years) to characterize age-related effects in participation coefficient of 28 PFC regions of distinct networks, evaluating connectivity profiles of each region to understand patterns influencing topological maturity. Findings revealed that PFC regions of attention, frontoparietal, and default mode networks (DMN) displayed varying rates of decline in participation coefficient with age, characterized by stronger connectivity with each PFC’s respective network; suggesting that PFC regions largely aid network segregation. Conversely, PFC regions of the cinguloopercular/salience network increased in participation coefficient with age, marked by stronger between-network connections, suggesting that some PFC regions feature a distinctive ability to facilitate network integration. PFC topology of the DMN, in particular, predicted improvements in global cognition, including motor speed and higher order abilities. Together, these findings elucidate systematic differences in topology across PFC regions of different network affiliation, representing important neural signatures of typical brain development.
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Affiliation(s)
- Katherine C Lopez
- Department of Psychological & Brain Sciences, Washington University, St Louis, 63130 MO, USA
| | - Sridhar Kandala
- Department of Psychiatry, Washington University, St Louis, 63110 MO, USA
| | - Scott Marek
- Department of Psychiatry, Washington University, St Louis, 63110 MO, USA
| | - Deanna M Barch
- Department of Psychological & Brain Sciences, Washington University, St Louis, 63130 MO, USA
- Department of Psychiatry, Washington University, St Louis, 63110 MO, USA
- Department of Radiology, Washington University, St Louis, 63110 MO, USA
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32
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Integration of spatio-temporal dynamics in emotion-cognition interactions: A simultaneous fMRI-ERP investigation using the emotional oddball task. Neuroimage 2019; 202:116078. [PMID: 31400532 DOI: 10.1016/j.neuroimage.2019.116078] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Revised: 07/09/2019] [Accepted: 08/06/2019] [Indexed: 12/27/2022] Open
Abstract
Although a large corpus of evidence has identified brain regions and networks involved in emotion-cognition interactions, it remains unclear how spatial and temporal dynamics of the mechanisms by which emotion interfaces with cognition are integrated. Capitalizing on multi-modal brain imaging approaches, we used simultaneous functional magnetic resonance imaging (fMRI) and event-related potential (ERP) recordings, to investigate the link between spatial and temporal aspects of processing in an emotional oddball task, and in relation to personality measures reflecting basic affective responses and emotion control. First, fMRI captured expected dorso-ventral dissociations, with greater response to targets in regions of dorsal brain networks (e.g., dorsolateral prefrontal cortex) and to emotional distracters in regions of ventral networks (e.g., ventrolateral prefrontal cortex, vlPFC). Also, ERP responses to targets were associated with a prominent P300, and responses to distracters with the late positive potential (LPP). Second, providing evidence for spatio-temporal integration of brain signals, ERP-informed fMRI analyses showed a link between LPP amplitude at parietal electrodes and the fMRI signal in the vlPFC, to emotional distraction. Third, regarding the link to personality measures, increased emotional arousability and attentional impulsiveness was associated with greater LPP differences between negative distracters and targets and enhanced response to negative distracters in the amygdala, respectively. Furthermore, we identified opposing relations between responses to emotional distraction and individual scores for cognitive reappraisal and self-control impulsiveness in posterior vlPFC. This suggests a greater engagement of this region in participants with reduced tendencies to employ reappraisal as a coping strategy and those with reduced ability to control impulsive responses during emotional distraction. Together, supporting the feasibility of integrating multi-dimensional approaches to clarify neural mechanisms of emotion-cognition interactions, these results point to convergence and complementarity between measures that differentially capture spatio-temporal dynamics of brain activity, and their associations with measures of individual differences in affective responses and control.
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33
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Rothenberg DO, Zhang L. Mechanisms Underlying the Anti-Depressive Effects of Regular Tea Consumption. Nutrients 2019; 11:nu11061361. [PMID: 31212946 PMCID: PMC6627400 DOI: 10.3390/nu11061361] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 06/03/2019] [Accepted: 06/11/2019] [Indexed: 12/19/2022] Open
Abstract
This article is a comprehensive review of the literature pertaining to the antidepressant effects and mechanisms of regular tea consumption. Meta-data supplemented with recent observational studies were first analyzed to assess the association between tea consumption and depression risk. The literature reported risk ratios (RR) were 0.69 with 95% confidence intervals of 0.62–0.77. Next, we thoroughly reviewed human trials, mouse models, and in vitro experiments to determine the predominant mechanisms underlying the observed linear relationship between tea consumption and reduced risk of depression. Current theories on the neurobiology of depression were utilized to map tea-mediated mechanisms of antidepressant activity onto an integrated framework of depression pathology. The major nodes within the network framework of depression included hypothalamic-pituitary-adrenal (HPA) axis hyperactivity, inflammation, weakened monoaminergic systems, reduced neurogenesis/neuroplasticity, and poor microbiome diversity affecting the gut–brain axis. We detailed how each node has subsystems within them, including signaling pathways, specific target proteins, or transporters that interface with compounds in tea, mediating their antidepressant effects. A major pathway was found to be the ERK/CREB/BDNF signaling pathway, up-regulated by a number of compounds in tea including teasaponin, L-theanine, EGCG and combinations of tea catechins and their metabolites. Black tea theaflavins and EGCG are potent anti-inflammatory agents via down-regulation of NF-κB signaling. Multiple compounds in tea are effective modulators of dopaminergic activity and the gut–brain axis. Taken together, our findings show that constituents found in all major tea types, predominantly L-theanine, polyphenols and polyphenol metabolites, are capable of functioning through multiple pathways simultaneously to collectively reduce the risk of depression.
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Affiliation(s)
- Dylan O'Neill Rothenberg
- Department of Tea Science, College of Horticulture Science, South China Agricultural University, Guangzhou 510640, China.
| | - Lingyun Zhang
- Department of Tea Science, College of Horticulture Science, South China Agricultural University, Guangzhou 510640, China.
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34
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Watters AJ, Carpenter JS, Harris AWF, Korgaonkar MS, Williams LM. Characterizing neurocognitive markers of familial risk for depression using multi-modal imaging, behavioral and self-report measures. J Affect Disord 2019; 253:336-342. [PMID: 31078833 DOI: 10.1016/j.jad.2019.04.078] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Revised: 04/09/2019] [Accepted: 04/17/2019] [Indexed: 10/27/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) is associated with poorer behavioral performance in domains of working memory and associated cognitive systems for cognitive control and attention. Functional neuroimaging studies show altered functioning in MDD in frontal executive control circuits implicated in these cognitive processes. It is not yet known whether poor cognitive performance involving these circuits is part of the familial risk for MDD, and we addressed this issue using a multi-modal imaging, behavioral and self-report approach in unaffected first-degree relatives of parent probands with MDD. METHODS 72 unaffected adult first-degree relatives of probands with MDD (mean age 30.5 ± 13.4 years) with and 66 case-wise matched non-relative controls underwent functional magnetic resonance imaging during performance of 'n-back' working memory task, a Go/No-go task assessing cognitive control and an Auditory Oddball test of selective attention. Groups were compared on imaging data analyzed voxel wise with a focus on dorsolateral prefrontal cortex, anterior cingulate cortex and insula regions of interest, and on corresponding behavioral accuracy and reaction time data. Symptoms were assessed using self-report scales. RESULTS Relatives were distinguished by comparatively decreased activation in the left dorsolateral prefrontal cortex (DLPFC) during updating of working memory. Behaviorally, relatives also showed more errors of omission during working memory updating. DLPFC hypo-activation was associated with greater depressive symptom severity. CONCLUSIONS Deficits in cognitive processing may be part of the profile of familial risk for depression, preceding illness onset, specifically in the domain of working memory.
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Affiliation(s)
- Anna J Watters
- Psychiatry, Sydney Medical School at Westmead Hospital, Sydney, Australia; Brain Dynamics Centre, The Westmead Institute for Medical Research and Sydney Medical School, University of Sydney, Westmead, Sydney, Australia
| | - Joanne S Carpenter
- Psychiatry, Sydney Medical School at Westmead Hospital, Sydney, Australia; Brain and Mind Centre, University of Sydney, Australia
| | - Anthony W F Harris
- Psychiatry, Sydney Medical School at Westmead Hospital, Sydney, Australia; Brain Dynamics Centre, The Westmead Institute for Medical Research and Sydney Medical School, University of Sydney, Westmead, Sydney, Australia
| | - Mayuresh S Korgaonkar
- Psychiatry, Sydney Medical School at Westmead Hospital, Sydney, Australia; Brain Dynamics Centre, The Westmead Institute for Medical Research and Sydney Medical School, University of Sydney, Westmead, Sydney, Australia
| | - Leanne M Williams
- Brain Dynamics Centre, The Westmead Institute for Medical Research and Sydney Medical School, University of Sydney, Westmead, Sydney, Australia; Psychiatry and Behavioural Science, Stanford University, CA, USA; VA Palo Alto (Sierra-Pacific MIRECC), CA, USA.
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35
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Ye J, Cai S, Cheung WM, Tsang HWH. An East Meets West Approach to the Understanding of Emotion Dysregulation in Depression: From Perspective to Scientific Evidence. Front Psychol 2019; 10:574. [PMID: 30984060 PMCID: PMC6447656 DOI: 10.3389/fpsyg.2019.00574] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 02/28/2019] [Indexed: 02/05/2023] Open
Abstract
Depression, an emotion regulation disorder, is a prevalent mental illness in the world. Meanwhile, traditional Chinese medicine (TCM) has been increasingly regarded as a promising and effective alternative therapy approach for patients with depression. Despite many years of research on depression, the current understanding of the pathological mechanism of depression based on TCM theories is still in its infancy. Due to the lack of scientific evidence in the past, TCM is not fully recognized by researchers around the world. This review firstly summarizes the pathogenesis and etiology of depression in terms of both Eastern and Western medical systems. Secondly, it adopts an integrated Eastern and Western approach to propose some plausible neurophysiological pathways linking the liver, spleen, and heart functions explicated in TCM theory. The aim of this theoretical review is to bridge the knowledge gap between Eastern and Western medicine, which may better explain the pathology of depression.
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Affiliation(s)
- Jiajia Ye
- Department of Rehabilitation Assessment, Fujian University of Traditional Chinese Medicine Subsidiary Rehabilitation Hospital, Fuzhou, China
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
| | - Shuhe Cai
- Department of Orthopaedic Rehabilitation, Fujian University of Traditional Chinese Medicine Subsidiary Rehabilitation Hospital, Fuzhou, China
| | - Wai Ming Cheung
- Faculty of Education, The University of Hong Kong, Hong Kong, China
| | - Hector W. H. Tsang
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
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36
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Emotion dysregulation and functional connectivity in children with and without a history of major depressive disorder. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2019. [PMID: 29524099 DOI: 10.3758/s13415-018-0564-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Recent interest has emerged in understanding the neural mechanisms by which deficits in emotion regulation (ER) early in development may relate to later depression. Corticolimbic alterations reported in emotion dysregulation and depression may be one possible link. We examined the relationships between emotion dysregulation in school age, corticolimbic resting-state functional connectivity (rs-FC) in preadolescence, and depressive symptoms in adolescence. Participants were 143 children from a longitudinal preschool onset depression study who completed the Children Sadness Management Scale (CSMS; measuring ER), Child Depression Inventory (CDI-C; measuring depressive symptoms), and two resting-state MRI scans. Rs-FC between four primary regions of interest (ROIs; bilateral dorsolateral prefrontal cortex [dlPFC] and amygdala) and six target ROIs thought to contribute to ER were examined. Findings showed that ER in school age did not predict depressive symptoms in adolescence, but did predict preadolescent increases in dlPFC-insula and dlPFC-ventromedial PFC rs-FC across diagnosis, as well as increased dlPFC-dorsal anterior cingulate cortex (dACC) rs-FC in children with a history of depression. Of these profiles, only dlPFC-dACC rs-FC in preadolescence predicted depressive symptoms in adolescence. However, dlPFC-dACC connectivity did not mediate the relationship between ER in school age and depressive symptoms in adolescence. Despite the absence of a direct relationship between ER and depressive symptoms and no significant rs-FC mediation, the rs-FC profiles predicted by ER are consistent with the hypothesis that emotion dysregulation is associated with abnormalities in top-down control functions. The extent to which these relationships might confer greater risk for later depression, however, remains unclear.
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37
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Segreti AM, Chase HW, Just M, Brent D, Pan L. Cortical thickness and volume reductions in young adults with current suicidal ideation. J Affect Disord 2019; 245:126-129. [PMID: 30388554 DOI: 10.1016/j.jad.2018.10.081] [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] [Received: 03/11/2018] [Revised: 08/09/2018] [Accepted: 10/04/2018] [Indexed: 01/23/2023]
Abstract
The extent to which observed differences in emotion processing and regulation neural circuitry in young adults with current suicidal ideation are paralleled by structural differences is unknown. We measured brain cortical thickness and gray and white matter volumes in 78 young adults aged 18-35: 35 with current suicidal ideation (SI) and 43 healthy controls (HC). The SI group, compared to HC, showed reduction in cortical thickness in the bilateral precentral gyri and diminished cortical volume in the left middle frontal gyrus. These regions are implicated in executive function, stress regulation, and emotion processing. We propose that these structural differences among the SI group could be contributing to suicidal thought patterns.
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Affiliation(s)
- Anna Maria Segreti
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Henry W Chase
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Marcel Just
- Center for Cognitive Brain Imaging, Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - David Brent
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Lisa Pan
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
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38
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Gao L, Cai Y, Wang H, Wang G, Zhang Q, Yan X. Probing prefrontal cortex hemodynamic alterations during facial emotion recognition for major depression disorder through functional near-infrared spectroscopy. J Neural Eng 2019; 16:026026. [PMID: 30669122 DOI: 10.1088/1741-2552/ab0093] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE A serious issue in psychiatric practice is a lack of specific, objective biomarker to assist clinicians in establishing differential diagnosis and improving individualized treatment. Major depression disorder (MDD) is characterized by poorer ability in processing of facial emotional expressions. APPROACH Applying a portable neuroimaging system using near-infrared spectroscopy, we investigated the prefrontal cortex hemodynamic activation changes during facial emotion recognition and rest periods for 27 MDD patients compared with 24 healthy controls (HC). MAIN RESULTS The hemodynamic changes in the left prefrontal cortex for the MDD group showed significant differences in the median values and the Mayer wave power ratios of the oxygenated hemoglobin (oxy-Hb) and deoxygenated hemoglobin (deoxy-Hb) during the emotional face recognition compared with the HC subjects, indicating the abnormal oxidative metabolism and weaker local hemodynamic oscillations for the MDD. The mean cross wavelet coefficients and the average wavelet coherence coefficient between oxy-Hb and deoxy-Hb over the left prefrontal cortex, and also between the bilateral oxy-Hb in the MDD patients were significantly lower than the HC group, demonstrating abnormal locally functional connectivity over the left prefrontal cortex, and the inter-hemispheric connection between the bilateral prefrontal cortices. SIGNIFICANCE These results suggested that the hemodynamic changes over the left prefrontal cortex and between the bilateral prefrontal cortices detected by fNIRS could provide reliable predictors for the diagnosis of the depression in clinic, and also supported the rationale for use of transcranial magnetic stimulation over the left dorsolateral prefrontal cortex to restore excitability of prefrontal cortex that exhibits diminished regulation of emotion-generative systems in the MDD patients.
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Affiliation(s)
- Lin Gao
- State Key Laboratory of Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, People's Republic of China. School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, People's Republic of China
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Goodin P, Lamp G, Hughes ME, Rossell SL, Ciorciari J. Decreased Response to Positive Facial Affect in a Depressed Cohort in the Dorsal Striatum During a Working Memory Task-A Preliminary fMRI Study. Front Psychiatry 2019; 10:60. [PMID: 30890968 PMCID: PMC6411826 DOI: 10.3389/fpsyt.2019.00060] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Accepted: 01/28/2019] [Indexed: 01/07/2023] Open
Abstract
People with depression have shown alterations in processing emotional information and working memory functionality. There is some evidence that emotional content may interact with working memory update processes, however neurological correlates are current unknown. In this preliminary study we utilized a novel version of the emotional variant of the n-back working memory task in fMRI. We examined BOLD response of 14 healthy controls and 13 depressed participants in response to happy, sad, and neutral displays of facial affect. No accuracy or reaction time differences were found between the two groups. The depressed group showed significantly decreased BOLD response to happy faces compared to the control group areas of the dorsal striatum and anterior cingulate. Significant, moderate, positive associations were found between right caudate activation with anxiety score and anterior cingulate activation with depression score in those with depression. Our novel task was able to elicit group level differences in emotional processing during working memory update. These results suggest those with depression fail to differentiate between positive emotional stimuli and stimuli with no emotional content.
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Affiliation(s)
- Peter Goodin
- Centre for Mental Health, School of Health Sciences, Swinburne University, Hawthorn, VIC, Australia.,Melbourne Brain Centre @ Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Gemma Lamp
- School of Psychology and Public Health, Latrobe University, Bundoora, VIC, Australia
| | - Matthew E Hughes
- Centre for Mental Health, School of Health Sciences, Swinburne University, Hawthorn, VIC, Australia
| | - Susan L Rossell
- Centre for Mental Health, School of Health Sciences, Swinburne University, Hawthorn, VIC, Australia
| | - Joseph Ciorciari
- Centre for Mental Health, School of Health Sciences, Swinburne University, Hawthorn, VIC, Australia
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40
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Schulze L, Schulze A, Renneberg B, Schmahl C, Niedtfeld I. Neural Correlates of Affective Disturbances: A Comparative Meta-analysis of Negative Affect Processing in Borderline Personality Disorder, Major Depressive Disorder, and Posttraumatic Stress Disorder. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2018; 4:220-232. [PMID: 30581154 DOI: 10.1016/j.bpsc.2018.11.004] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 10/17/2018] [Accepted: 11/09/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND Borderline personality disorder (BPD), major depressive disorder (MDD), and posttraumatic stress disorder (PTSD) are prominent examples of mental disorders with affective disturbances. Notably, all three disorders share a generally heightened negative affect, which is presumably the result of shared neural abnormalities in affective processing. In this meta-analysis, we aimed to identify transdiagnostic and disorder-specific abnormalities during the processing of negative compared with neutral stimuli. METHODS We synthesized neuroimaging findings of affect processing in BPD, MDD, and PTSD and calculated combined coordinate- and image-based meta-analyses. The analysis comprised 70 distinct study samples with a total of 31 unthresholded statistical parametric maps. Twenty-four studies had a focus on BPD (431 individuals with BPD, 436 healthy control subjects [HCs]), 32 studies on MDD (789 individuals with current MDD, 870 HCs), and 14 studies on PTSD (247 individuals with PTSD, 245 HCs). RESULTS Findings showed limbic hyperactivations in BPD and PTSD compared with limbic activation of HCs. In contrast, patients with MDD showed blunted amygdala activation in comparison with that of HCs. Additionally, the calculation of overlapping brain abnormalities in BPD, MDD, and PTSD highlighted transdiagnostic hyperactivation of the right median cingulate gyri and hypoactivation of the right middle frontal gyrus and the right middle occipital gyrus. Finally, disorder-specific comparisons also illustrate unique abnormalities for each mental disorder. CONCLUSIONS The present results support shared and disorder-specific neural abnormalities in patients with affective disturbances.
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Affiliation(s)
- Lars Schulze
- Department of Clinical Psychology and Psychotherapy, Freie Universität Berlin, Berlin, Germany.
| | - Andreas Schulze
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim at Heidelberg University, Mannheim, Germany
| | - Babette Renneberg
- Department of Clinical Psychology and Psychotherapy, Freie Universität Berlin, Berlin, Germany
| | - Christian Schmahl
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim at Heidelberg University, Mannheim, Germany
| | - Inga Niedtfeld
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim at Heidelberg University, Mannheim, Germany
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41
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Lee TW, Xue SW. Does emotion regulation engage the same neural circuit as working memory? A meta-analytical comparison between cognitive reappraisal of negative emotion and 2-back working memory task. PLoS One 2018; 13:e0203753. [PMID: 30212509 PMCID: PMC6136767 DOI: 10.1371/journal.pone.0203753] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Accepted: 08/27/2018] [Indexed: 12/29/2022] Open
Abstract
Research into cognitive emotion regulation (ER) extends our understanding of human cognition, which is capable of processing objective information and is crucial in maintaining subjective/internal homeostasis. Among various ER strategies, the alleviation of negative emotion via reappraisal is of particular importance for adaptation and psychological well-being. Although still debated, previous neuroimaging studies tend to infer that the reappraisal ER is mediated by the capability of working memory (WM), which has not been examined empirically. This meta-analytical study of published neuroimaging literature used activation likelihood estimation (ALE) to compare the neural circuits that regulate negative emotion (reappraisal tasks; 46 studies/1254 subjects) and execute WM (2-back tasks; 50 studies/1312 subjects), with special emphasis on the prefrontal cortex (PFC). Taking the canonical WM network as a reference, ALE results revealed that the dorsal midline PFC was partly shared by both ER and WM, whereas ER-specific PFC structures were delineated in the inferior, middle, and superior frontal cortices, as well as in the posterior brain regions. The peak coordinates of ER in the middle frontal cortex were dorsal to those of WM by 15.1 mm (left) and 21.6 mm (right). The results support specialized emotion-related neural substrates in the PFC, negating the assumption that reappraisal ER and WM rely on the same neural resources. The holistic picture of "emotional brain" may need to incorporate the emotion-related PFC circuit, together with subcortical and limbic emotion centers.
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Affiliation(s)
- Tien-Wen Lee
- Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China
- Department of Psychiatry, Dajia Lee's General Hospital, Lee's Medical Corporation, Taichung, Taiwan
- * E-mail:
| | - Shao-Wei Xue
- Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China
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Chen T, Becker B, Camilleri J, Wang L, Yu S, Eickhoff SB, Feng C. A domain-general brain network underlying emotional and cognitive interference processing: evidence from coordinate-based and functional connectivity meta-analyses. Brain Struct Funct 2018; 223:3813-3840. [PMID: 30083997 DOI: 10.1007/s00429-018-1727-9] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Accepted: 07/31/2018] [Indexed: 02/05/2023]
Abstract
The inability to control or inhibit emotional distractors characterizes a range of psychiatric disorders. Despite the use of a variety of task paradigms to determine the mechanisms underlying the control of emotional interference, a precise characterization of the brain regions and networks that support emotional interference processing remains elusive. Here, we performed coordinate-based and functional connectivity meta-analyses to determine the brain networks underlying emotional interference. Paradigms addressing interference processing in the cognitive or emotional domain were included in the meta-analyses, particularly the Stroop, Flanker, and Simon tasks. Our results revealed a consistent involvement of the bilateral dorsal anterior cingulate cortex, anterior insula, left inferior frontal gyrus, and superior parietal lobule during emotional interference. Follow-up conjunction analyses identified correspondence in these regions between emotional and cognitive interference processing. Finally, the patterns of functional connectivity of these regions were examined using resting-state functional connectivity and meta-analytic connectivity modeling. These regions were strongly connected as a distributed system, primarily mapping onto fronto-parietal control, ventral attention, and dorsal attention networks. Together, the present findings indicate that a domain-general neural system is engaged across multiple types of interference processing and that regulating emotional and cognitive interference depends on interactions between large-scale distributed brain networks.
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Affiliation(s)
- Taolin Chen
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Benjamin Becker
- Clinical Hospital of the Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Julia Camilleri
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Li Wang
- Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Beijing, China
| | - Shuqi Yu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Chunliang Feng
- College of Information Science and Technology, Beijing Normal University, Beijing, China. .,State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
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Scanlon FA, Scheidell JD, Cuddeback GS, Samuelsohn D, Wohl DA, Lejuez CW, Latimer WW, Khan MR. Depression, Executive Dysfunction, and Prior Economic and Social Vulnerability Associations in Incarcerated African American Men. JOURNAL OF CORRECTIONAL HEALTH CARE 2018; 24:295-308. [PMID: 29962264 PMCID: PMC6040589 DOI: 10.1177/1078345818782440] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Low executive function (EF) and depression are each determinants of health. This study examined the synergy between deficits in EF (impaired cognitive flexibility; >75th percentile on the Wisconsin Card Sorting Test perseverative error score) and depressive symptoms (modified Centers for Epidemiologic Studies-Depression) and preincarceration well-being among incarcerated African American men ( N = 189). In adjusted analyses, having impaired EF and depression was strongly associated with pre-incarceration food insecurity (odds ratio [ OR] = 3.81, 95% confidence interval [CI] = [1.35, 10.77]), homelessness ( OR = 3.00, 95% CI [1.02, 8.80]), concern about bills ( OR = 3.76, 95% CI [1.42, 9.95]), low significant other support ( OR = 4.63, 95% CI [1.62, 13.24]), low friend support ( OR = 3.47, 95% CI [1.30, 9.26]), relationship difficulties ( OR = 2.86, 95% CI [1.05, 7.80]), and binge drinking ( OR = 3.62, 95% CI [1.22, 10.80]). Prison-based programs to treat depression and improve problem-solving may improve postrelease success.
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Affiliation(s)
- Faith A. Scanlon
- Division of Comparative Effectiveness and Decision Science,
Department of Population Health, NYU School of Medicine, 227 East 30th St,
New York, NY 10016 , (516)
361-1998
| | - Joy D. Scheidell
- Division of Comparative Effectiveness and Decision Science,
Department of Population Health, New York University School of Medicine, 227
East 30th St, New York, NY 10016
| | - Gary S. Cuddeback
- School of Social Work, University of North Carolina at Chapel Hill,
CB#3550, 325 Pittsboro Street, Chapel Hill, NC 27599
| | - Darcy Samuelsohn
- Division of Comparative Effectiveness and Decision Science,
Department of Population Health, NYU School of Medicine 227 East 30th St,
New York, NY 10016
| | - David A. Wohl
- Division of Infectious Disease, University of North Carolina at
Chapel Hill School of Medicine, CB# 7030, Bioinformatics Building,
130 Mason Farm Road, Chapel Hill, North Carolina 27599
| | - Carl W. Lejuez
- College of Liberal Arts & Sciences, University of Kansas,
Strong Hall, 1450 Jayhawk Boulevard, Lawrence, KS 66045
| | - William W. Latimer
- School of Health Sciences, Human Services, and Nursing, Lehman
College, 250 Bedford Park Blvd W, Bronx, NY 10468
| | - Maria R Khan
- Division of Comparative Effectiveness and Decision Science,
Department of Population Health, New York University School of Medicine, 227
East 30th St, New York, NY 10016
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Iordan AD, Dolcos S, Dolcos F. Brain Activity and Network Interactions in the Impact of Internal Emotional Distraction. Cereb Cortex 2018; 29:2607-2623. [DOI: 10.1093/cercor/bhy129] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Revised: 05/03/2018] [Accepted: 05/10/2018] [Indexed: 12/25/2022] Open
Affiliation(s)
- A D Iordan
- Beckman Institute for Advanced Science & Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Current affiliation: Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - S Dolcos
- Beckman Institute for Advanced Science & Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Psychology Department, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - F Dolcos
- Beckman Institute for Advanced Science & Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Psychology Department, University of Illinois Urbana-Champaign, Urbana, IL, USA
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Shared facial emotion processing functional network findings in medication-naïve major depressive disorder and healthy individuals: detection by sICA. BMC Psychiatry 2018; 18:96. [PMID: 29636031 PMCID: PMC5891939 DOI: 10.1186/s12888-018-1631-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Accepted: 02/09/2018] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND The fundamental mechanism underlying emotional processing in major depressive disorder (MDD) remains unclear. To better understand the neural correlates of emotional processing in MDD, we investigated the role of multiple functional networks (FNs) during emotional stimuli processing. METHODS Thirty-two medication-naïve subjects with MDD and 36 healthy controls (HCs) underwent an emotional faces fMRI task that included neutral, happy and fearful expressions. Spatial independent component analysis (sICA) and general linear model (GLM) were conducted to examine the main effect of task condition and group, and two-way interactions of group and task conditions. RESULTS In sICA analysis, MDD patients and HCs together showed significant differences in task-related modulations in five FNs across task conditions. One FN mainly involving the ventral medial prefrontal cortex showed lower activation during fearful relative to happy condition. Two FNs mainly involving the bilateral inferior frontal gyrus and temporal cortex, showed opposing modulation relative to the ventral medial prefrontal cortex FN, i.e., greater activation during fearful relative to happy condition. Two remaining FNs involving the fronto-parietal and occipital cortices, showed reduced activation during both fearful and happy conditions relative to the neutral condition. However, MDD and HCs did not show significant differences in expression-related modulations in any FNs in this sample. CONCLUSIONS SICA revealed differing functional activation patterns than typical GLM-based analyses. The sICA findings demonstrated unique FNs involved in processing happy and fearful facial expressions. Potential differences between MDD and HCs in expression-related FN modulation should be investigated further.
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Zhang P, Wang J, Xu Q, Song Z, Dai J, Wang J. Altered functional connectivity in post-ischemic stroke depression: A resting-state functional magnetic resonance imaging study. Eur J Radiol 2018; 100:156-165. [DOI: 10.1016/j.ejrad.2018.01.003] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2017] [Revised: 12/28/2017] [Accepted: 01/02/2018] [Indexed: 12/30/2022]
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Disrupted functional connectivity of the amygdala is associated with depressive mood in type 2 diabetes patients. J Affect Disord 2018; 228:207-215. [PMID: 29272791 DOI: 10.1016/j.jad.2017.12.012] [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: 07/20/2017] [Revised: 11/18/2017] [Accepted: 12/06/2017] [Indexed: 02/03/2023]
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) and mood disorders share pathophysiological commonalities in the central nervous system. The purpose of this study was to investigate the alterations in amygdala-based emotional processing circuits in T2DM patients with depressive mood using resting-state functional magnetic resonance imaging (rs-fMRI). METHODS T2DM patients with depressive mood (n = 25), T2DM patients without depressive mood (n = 28) and matched healthy controls (n = 25) underwent neuropsychological testing and rs-fMRI scanning. A seed-based correlation analysis was conducted to reveal the altered functional connectivity (FC) of the amygdala. The bilateral amygdala FC was compared among the three groups. Pearson correlation analyses were performed in a voxel-wise manner to investigate the relationship between amygdala FC and the clinical characteristics. RESULTS The depressed T2DM patients exhibited the worst performance on the neuropsychological tests among the three groups. Compared to the non-depressed T2DM patients, the depressed T2DM patients showed decreased amygdala FC in the cingulate cortex, inferior frontal gyrus, fusiform gyrus, and precentral gyrus. Moreover, the amygdala FC in the cingulate cortex was associated with the Self-Rating Depression Scale (SDS) score in the T2DM patients. LIMITATIONS Cross-sectional design. CONCLUSIONS The current study revealed the cognitive changes and alterations in the amygdala-cingulate functional disconnections in T2DM patients with depressive mood, which will advance the understanding of the neural mechanisms underlying depression in T2DM patients.
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Samara Z, Evers EAT, Peeters F, Uylings HBM, Rajkowska G, Ramaekers JG, Stiers P. Orbital and Medial Prefrontal Cortex Functional Connectivity of Major Depression Vulnerability and Disease. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2018; 3:348-357. [PMID: 29628067 DOI: 10.1016/j.bpsc.2018.01.004] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Revised: 01/12/2018] [Accepted: 01/16/2018] [Indexed: 01/29/2023]
Abstract
BACKGROUND Pathophysiology models of major depression (MD) center on the dysfunction of various cortical areas within the orbital and medial prefrontal cortex. While independent structural and functional abnormalities in these areas are consistent findings in MD, the complex interactions among them and the rest of the cortex remain largely unexplored. METHODS We used resting-state functional magnetic resonance imaging connectivity to systematically map alterations in the communication between orbital and medial prefrontal cortex fields and the rest of the brain in MD. Functional connectivity (FC) maps from participants with current MD (n = 35), unaffected first-degree relatives (n = 36), and healthy control subjects (n = 38) were subjected to conjunction analyses to distinguish FC markers of MD vulnerability and FC markers of MD disease. RESULTS FC abnormalities in MD vulnerability were found for dorsal medial wall regions and the anterior insula and concerned altered communication of these areas with the inferior parietal cortex and dorsal posterior cingulate, occipital areas and the brainstem. FC aberrations in current MD included the anterior insula, rostral and dorsal anterior cingulate cortex, and lateral orbitofrontal areas and concerned altered communication with the dorsal striatum, the cerebellum, the precuneus, the anterior prefrontal cortex, somatomotor cortex, dorsolateral prefrontal cortex, and visual areas in the occipital and inferior temporal lobes. CONCLUSIONS Functionally delineated parcellation maps can be used to identify putative connectivity markers in extended cortical regions such as the orbital and medial prefrontal cortex. The anterior insula and the rostral anterior cingulate cortex play a central role in the pathophysiology of MD, being consistently implicated both in the MD vulnerability and MD disease states.
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Affiliation(s)
- Zoe Samara
- Department of Neuropsychology and Psychopharmacology, Maastricht University, Maastricht, The Netherlands.
| | - Elisabeth A T Evers
- Department of Neuropsychology and Psychopharmacology, Maastricht University, Maastricht, The Netherlands
| | - Frenk Peeters
- Department of Neuropsychology and Psychopharmacology, Maastricht University, Maastricht, The Netherlands
| | - Harry B M Uylings
- Department of Anatomy and Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Grazyna Rajkowska
- Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, Mississippi
| | - Johannes G Ramaekers
- Department of Neuropsychology and Psychopharmacology, Maastricht University, Maastricht, The Netherlands
| | - Peter Stiers
- Department of Neuropsychology and Psychopharmacology, Maastricht University, Maastricht, The Netherlands
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Bezchlibnyk YB, Cheng J, Bijanki KR, Mayberg HS, Gross RE. Subgenual Cingulate Deep Brain Stimulation for Treatment-Resistant Depression. Neuromodulation 2018. [DOI: 10.1016/b978-0-12-805353-9.00091-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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50
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Zhu J, Lin X, Lin C, Zhuo C, Yu Y. Selective functional dysconnectivity of the dorsal-anterior subregion of the precuneus in drug-naive major depressive disorder. J Affect Disord 2018; 225:676-683. [PMID: 28917194 DOI: 10.1016/j.jad.2017.08.084] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2017] [Revised: 07/13/2017] [Accepted: 08/27/2017] [Indexed: 01/18/2023]
Abstract
BACKGROUND Patients with major depressive disorder (MDD) have shown altered resting-state functional connectivity (rsFC) of the precuneus; however, it is unknown whether rsFC of the precuneus subregions is differentially affected in this disorder. METHODS In this study, we aimed to clarify this issue by comparing rsFC of each precuneus subregion between patients with MDD and healthy controls. Forty-seven drug-naive patients with MDD and 47 sex-, age- and education-matched healthy controls underwent resting-state functional magnetic resonance imaging (fMRI). The precuneus was divided into PCun-1 (dorsal-central portion; medial area 7), PCun-2 (dorsal-anterior portion; medial area 5), PCun-3 (dorsal-posterior portion; dorsomedial parietooccipital sulcus) and PCun-4 (ventral portion; area 31). The rsFC of each precuneus subregion was compared between the two groups. RESULTS Compared with healthy controls, patients with MDD exhibited increased rsFC between the left PCun-2 and the right fusiform gyrus, lateral prefrontal cortex, sensorimotor cortex and supramarginal gyrus. No significant inter-group difference was observed in the rsFC of other precuneus subregions. In addition, there was no difference in gray matter volume of all the precuneus subregions between patients with MDD and healthy controls. LIMITATIONS Some of the patients had chronic MDD and relevant neuropsychological data were not collected. CONCLUSIONS These findings suggest a selective functional dysconnectivity of the precuneus subregions in drug-naive MDD, characterized by the hyperconnnectivity between the dorsal-anterior subregion and regions involved in visual, executive control, sensorimotor and bottom-up attention functions.
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Affiliation(s)
- Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xiaodong Lin
- Department of Psychiatry, Wenzhou Seventh People's Hospital, Wenzhou, China
| | - Chongguang Lin
- Department of Psychiatry, Wenzhou Seventh People's Hospital, Wenzhou, China
| | - Chuanjun Zhuo
- Department of Psychiatry, Wenzhou Seventh People's Hospital, Wenzhou, China; Department of Psychiatry, Tianjin Mental Health Center, Tianjin, China.
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
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