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Holt-Gosselin B, Keding TJ, Rodrigues K, Rueter A, Hendrickson TJ, Perrone A, Byington N, Houghton A, Miranda-Dominguez O, Feczko E, Fair DA, Joormann J, Gee DG. Familial risk for depression moderates neural circuitry in healthy preadolescents to predict adolescent depression symptoms in the Adolescent Brain Cognitive Development (ABCD) Study. Dev Cogn Neurosci 2024; 68:101400. [PMID: 38870601 PMCID: PMC11225685 DOI: 10.1016/j.dcn.2024.101400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 05/09/2024] [Accepted: 05/31/2024] [Indexed: 06/15/2024] Open
Abstract
BACKGROUND There is an imminent need to identify neural markers during preadolescence that are linked to developing depression during adolescence, especially among youth at elevated familial risk. However, longitudinal studies remain scarce and exhibit mixed findings. Here we aimed to elucidate functional connectivity (FC) patterns among preadolescents that interact with familial depression risk to predict depression two years later. METHODS 9-10 year-olds in the Adolescent Brain Cognitive Development (ABCD) Study were classified as healthy (i.e., no lifetime psychiatric diagnoses) at high familial risk for depression (HR; n=559) or at low familial risk for psychopathology (LR; n=1203). Whole-brain seed-to-voxel resting-state FC patterns with the amygdala, putamen, nucleus accumbens, and caudate were calculated. Multi-level, mixed-effects regression analyses were conducted to test whether FC at ages 9-10 interacted with familial risk to predict depression symptoms at ages 11-12. RESULTS HR youth demonstrated stronger associations between preadolescent FC and adolescent depression symptoms (ps<0.001) as compared to LR youth (ps>0.001), primarily among amygdala/striatal FC with visual and sensory/somatomotor networks. CONCLUSIONS Preadolescent amygdala and striatal FC may be useful biomarkers of adolescent-onset depression, particularly for youth with family histories of depression. This research may point to neurobiologically-informed approaches to prevention and intervention for depression in adolescents.
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Affiliation(s)
- Bailey Holt-Gosselin
- Department of Psychology, Yale University, 100 College Street, New Haven, CT 06510, United States; Interdepartmental Neuroscience Graduate Program, Yale University School of Medicine, New Haven, CT 06520, United States
| | - Taylor J Keding
- Department of Psychology, Yale University, 100 College Street, New Haven, CT 06510, United States; Child Study Center, Yale School of Medicine, New Haven, CT 06511, United States
| | - Kathryn Rodrigues
- Department of Psychology, Yale University, 100 College Street, New Haven, CT 06510, United States
| | - Amanda Rueter
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States
| | - Timothy J Hendrickson
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States
| | - Anders Perrone
- Masonic Institute for the Developing Brain, Minneapolis, MN 55414, United States
| | - Nora Byington
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States
| | - Audrey Houghton
- Masonic Institute for the Developing Brain, Minneapolis, MN 55414, United States
| | - Oscar Miranda-Dominguez
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States; Masonic Institute for the Developing Brain, Minneapolis, MN 55414, United States
| | - Eric Feczko
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States; Masonic Institute for the Developing Brain, Minneapolis, MN 55414, United States
| | - Damien A Fair
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455, United States; Masonic Institute for the Developing Brain, Minneapolis, MN 55414, United States
| | - Jutta Joormann
- Department of Psychology, Yale University, 100 College Street, New Haven, CT 06510, United States
| | - Dylan G Gee
- Department of Psychology, Yale University, 100 College Street, New Haven, CT 06510, United States.
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Holt-Gosselin B, Keding TJ, Poulin R, Brieant A, Rueter A, Hendrickson TJ, Perrone A, Byington N, Houghton A, Miranda-Dominguez O, Feczko E, Fair DA, Joormann J, Gee DG. Neural Circuit Markers of Familial Risk for Depression Among Healthy Youths in the Adolescent Brain Cognitive Development Study. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:185-195. [PMID: 37182734 PMCID: PMC10640659 DOI: 10.1016/j.bpsc.2023.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 05/01/2023] [Accepted: 05/02/2023] [Indexed: 05/16/2023]
Abstract
BACKGROUND Family history of depression is a robust predictor of early-onset depression, which may confer risk through alterations in neural circuits that have been implicated in reward and emotional processing. These alterations may be evident in youths who are at familial risk for depression but who do not currently have depression. However, the identification of robust and replicable findings has been hindered by few studies and small sample sizes. In the current study, we sought to identify functional connectivity (FC) patterns associated with familial risk for depression. METHODS Participants included healthy (i.e., no lifetime psychiatric diagnoses) youths at high familial risk for depression (HR) (n = 754; at least one parent with a history of depression) and healthy youths at low familial risk for psychiatric problems (LR) (n = 1745; no parental history of psychopathology) who were 9 to 10 years of age and from the Adolescent Brain Cognitive Development (ABCD) Study sample. We conducted whole-brain seed-to-voxel analyses to examine group differences in resting-state FC with the amygdala, caudate, nucleus accumbens, and putamen. We hypothesized that HR youths would exhibit global amygdala hyperconnectivity and striatal hypoconnectivity patterns primarily driven by maternal risk. RESULTS HR youths exhibited weaker caudate-angular gyrus FC than LR youths (α = 0.04, Cohen's d = 0.17). HR youths with a history of maternal depression specifically exhibited weaker caudate-angular gyrus FC (α = 0.03, Cohen's d = 0.19) as well as weaker caudate-dorsolateral prefrontal cortex FC (α = 0.04, Cohen's d = 0.21) than LR youths. CONCLUSIONS Weaker striatal connectivity may be related to heightened familial risk for depression, primarily driven by maternal history. Identifying brain-based markers of depression risk in youths can inform approaches to improving early detection, diagnosis, and treatment.
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Affiliation(s)
- Bailey Holt-Gosselin
- Department of Psychology, Yale University, New Haven, Connecticut; Interdepartmental Neuroscience Graduate Program, Yale University School of Medicine, New Haven, Connecticut
| | - Taylor J Keding
- Department of Psychology, Yale University, New Haven, Connecticut; Child Study Center, Yale School of Medicine, New Haven, Connecticut
| | - Rhayna Poulin
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Alexis Brieant
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Amanda Rueter
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Timothy J Hendrickson
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Anders Perrone
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Nora Byington
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Audrey Houghton
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | | | - Eric Feczko
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Damien A Fair
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Jutta Joormann
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Dylan G Gee
- Department of Psychology, Yale University, New Haven, Connecticut.
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Wunram HL, Kasparbauer AM, Oberste M, Bender S. [Movement as a Neuromodulator: How Physical Activity Influences the Physiology of Adolescent Depression]. ZEITSCHRIFT FUR KINDER- UND JUGENDPSYCHIATRIE UND PSYCHOTHERAPIE 2023; 52:77-93. [PMID: 37851436 DOI: 10.1024/1422-4917/a000954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2023]
Abstract
Movement as a Neuromodulator: How Physical Activity Influences the Physiology of Adolescent Depression Abstract: In the context of adolescent depression, physical activity is becoming increasingly recognized for its positive effects on neuropathology. Current scientific findings indicate that physical training affects the biological effects of depression during adolescence. Yet the pathophysiology of adolescent depression is not yet fully understood. Besides psychosocial and genetic influences, various neurobiological factors are being discussed. One explanation model describes a dysfunction of the hypothalamus-pituitary-adrenal axis (HPA axis) with a sustained elevation in cortisol concentration. Recent studies highlight neuroimmunological processes and a reduced concentration of growth factors as causative factors. These changes appear to lead to a dysregulation of the excitation and inhibition balance of the cerebral cortex as well as to cerebral morphological alterations. Regular physical training can potentially counteract the dysregulation of the HPA axis and normalize cortisol levels. The release of proinflammatory cytokines is inhibited, and the expression of growth factors involved in adult neurogenesis is stimulated. One should ensure the synergistic interaction of biological and psychosocial factors when designing the exercise schedule (endurance or strength training, group or individual sports, frequency, duration, and intensity). Addressing these open questions is essential when integrating physical activity into the guidelines for treating depressive disorders in children and adolescents.
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Affiliation(s)
- Heidrun Lioba Wunram
- Klinik und Poliklinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, Uniklinik Köln, Medizinische Fakultät der Universität zu Köln, Deutschland
- Kinderklinik Uniklinik Köln, Medizinische Fakultät der Universität zu Köln, Deutschland
- Geteilte Erstautorenschaft
| | - Anna-Maria Kasparbauer
- Klinik und Poliklinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, Uniklinik Köln, Medizinische Fakultät der Universität zu Köln, Deutschland
- Geteilte Erstautorenschaft
| | - Max Oberste
- Institut für Medizinische Statistik und Bioinformatik, Universität zu Köln, Deutschland
| | - Stephan Bender
- Klinik und Poliklinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, Uniklinik Köln, Medizinische Fakultät der Universität zu Köln, Deutschland
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Tai APL, Leung MK, Geng X, Lau WKW. Conceptualizing psychological resilience through resting-state functional MRI in a mentally healthy population: a systematic review. Front Behav Neurosci 2023; 17:1175064. [PMID: 37538200 PMCID: PMC10394620 DOI: 10.3389/fnbeh.2023.1175064] [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: 02/27/2023] [Accepted: 07/03/2023] [Indexed: 08/05/2023] Open
Abstract
Conceptualizations and operational definitions of psychological resilience vary across resilience neuroimaging studies. Data on the neural features of resilience among healthy individuals has been scarce. Furthermore, findings from resting-state functional magnetic resonance imaging (fMRI) studies were inconsistent across studies. This systematic review summarized resting-state fMRI findings in different modalities from various operationally defined resilience in a mentally healthy population. The PubMed and MEDLINE databases were searched. Articles that focused on resting-state fMRI in relation to resilience, and published before 2022, were targeted. Orbitofrontal cortex, anterior cingulate cortex, insula and amygdala, were reported the most from the 19 included studies. Regions in emotional network was reported the most from the included studies. The involvement of regions like amygdala and orbitofrontal cortex indicated the relationships between emotional processing and resilience. No common brain regions or neural pathways were identified across studies. The emotional network appears to be studied the most in association with resilience. Matching fMRI modalities and operational definitions of resilience across studies are essential for meta-analysis.
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Affiliation(s)
- Alan P. L. Tai
- Department of Special Education and Counselling, The Education University of Hong Kong, Hong Kong, Hong Kong SAR, China
- Integrated Centre for Wellbeing, The Education University of Hong Kong, Hong Kong, Hong Kong SAR, China
- Bioanalytical Laboratory for Educational Sciences, The Education University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Mei-Kei Leung
- Department of Counselling and Psychology, Hong Kong Shue Yan University, Hong Kong, Hong Kong SAR, China
| | - Xiujuan Geng
- Brain and Mind Institute, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Way K. W. Lau
- Department of Health Sciences, The Hong Kong Metropolitan University, Hong Kong, Hong Kong SAR, China
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Athreya AP, Vande Voort JL, Shekunov J, Rackley SJ, Leffler JM, McKean AJ, Romanowicz M, Kennard BD, Emslie GJ, Mayes T, Trivedi M, Wang L, Weinshilboum RM, Bobo WV, Croarkin PE. Evidence for machine learning guided early prediction of acute outcomes in the treatment of depressed children and adolescents with antidepressants. J Child Psychol Psychiatry 2022; 63:1347-1358. [PMID: 35288932 PMCID: PMC9475486 DOI: 10.1111/jcpp.13580] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/17/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND The treatment of depression in children and adolescents is a substantial public health challenge. This study examined artificial intelligence tools for the prediction of early outcomes in depressed children and adolescents treated with fluoxetine, duloxetine, or placebo. METHODS The study samples included training datasets (N = 271) from patients with major depressive disorder (MDD) treated with fluoxetine and testing datasets from patients with MDD treated with duloxetine (N = 255) or placebo (N = 265). Treatment trajectories were generated using probabilistic graphical models (PGMs). Unsupervised machine learning identified specific depressive symptom profiles and related thresholds of improvement during acute treatment. RESULTS Variation in six depressive symptoms (difficulty having fun, social withdrawal, excessive fatigue, irritability, low self-esteem, and depressed feelings) assessed with the Children's Depression Rating Scale-Revised at 4-6 weeks predicted treatment outcomes with fluoxetine at 10-12 weeks with an average accuracy of 73% in the training dataset. The same six symptoms predicted 10-12 week outcomes at 4-6 weeks in (a) duloxetine testing datasets with an average accuracy of 76% and (b) placebo-treated patients with accuracies of 67%. In placebo-treated patients, the accuracies of predicting response and remission were similar to antidepressants. Accuracies for predicting nonresponse to placebo treatment were significantly lower than antidepressants. CONCLUSIONS PGMs provided clinically meaningful predictions in samples of depressed children and adolescents treated with fluoxetine or duloxetine. Future work should augment PGMs with biological data for refined predictions to guide the selection of pharmacological and psychotherapeutic treatment in children and adolescents with depression.
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Affiliation(s)
- Arjun P. Athreya
- Department of Molecular Pharmacology and Experimental TherapeuticsMayo ClinicRochesterMNUSA
| | | | - Julia Shekunov
- Department of Psychiatry and PsychologyMayo ClinicRochesterMNUSA
| | | | | | | | | | - Betsy D. Kennard
- Peter O’Donnell Jr. Brain Institute and the Department of PsychiatryUniversity of Texas Southwestern Medical CenterDallasTXUSA
| | - Graham J. Emslie
- Peter O’Donnell Jr. Brain Institute and the Department of PsychiatryUniversity of Texas Southwestern Medical CenterDallasTXUSA,Children’s HealthChildren’s Medical CenterDallasTXUSA
| | - Taryn Mayes
- Peter O’Donnell Jr. Brain Institute and the Department of PsychiatryUniversity of Texas Southwestern Medical CenterDallasTXUSA
| | - Madhukar Trivedi
- Peter O’Donnell Jr. Brain Institute and the Department of PsychiatryUniversity of Texas Southwestern Medical CenterDallasTXUSA
| | - Liewei Wang
- Department of Molecular Pharmacology and Experimental TherapeuticsMayo ClinicRochesterMNUSA
| | | | - William V. Bobo
- Department of Psychiatry and PsychologyMayo ClinicJacksonvilleFLUSA
| | - Paul E. Croarkin
- Department of Psychiatry and PsychologyMayo ClinicRochesterMNUSA
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6
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Structural and Functional Brain Alterations in Populations with Familial Risk for Depression: A Narrative Review. Harv Rev Psychiatry 2022; 30:327-349. [PMID: 36534836 DOI: 10.1097/hrp.0000000000000350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
LEARNING OBJECTIVES After completing this activity, practitioners will be better able to:• Discuss the association between brain alterations and vulnerability or resilience to MDD in people with familial risk• Define how structural and functional brain alterations associated with vulnerability or resilience could lead to a better understanding of the pathophysiology of MDD. AIM Familial history is associated with an increased risk for major depressive disorder (MDD). Despite the increased risk, some members of the familial high-risk population remain healthy, that is, resilient. Defining the structural and functional brain alterations associated with vulnerability or resilience could lead to a better understanding of the pathophysiology of MDD. This study aimed to review the current literature and discuss the association between brain alterations and vulnerability or resilience to MDD in people with familial risk. METHODS A literature search on MRI studies investigating structural and functional alterations in populations at familial risk for MDD was performed using the PubMed and SCOPUS databases. The search was conducted through June 13, 2022. RESULTS We reviewed and summarized the data of 72 articles (25 structural MRI, 35 functional MRI, 10 resting-state fMRI, one structural/functional MRI combined, and one structural/functional/resting-state fMRI combined). These findings suggested that resilience in high-risk individuals is related to the amygdala structure, frontal lobe activity, and functional connectivity between the amygdala and multiple frontal regions. CONCLUSION Resilient and vulnerable individuals exhibit structural and functional differences in multiple frontal and limbic regions. However, further systematic longitudinal research incorporating environmental factors is required to validate the current findings.
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Nazarova A, Schmidt M, Cookey J, Uher R. Neural markers of familial risk for depression - A systematic review. Dev Cogn Neurosci 2022; 58:101161. [PMID: 36242901 PMCID: PMC9557819 DOI: 10.1016/j.dcn.2022.101161] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 10/07/2022] [Accepted: 10/09/2022] [Indexed: 01/13/2023] Open
Abstract
Structural and functional brain alterations are found in adults with depression. It is not known whether these changes are a result of illness or exist prior to disorder onset. Asymptomatic offspring of parents with depression offer a unique opportunity to research neural markers of familial risk to depression and clarify the temporal sequence between brain changes and disorder onset. We conducted a systematic review to investigate whether asymptomatic offspring at high familial risk have structural and functional brain changes like those reported in adults with depression. Our literature search resulted in 44 studies on 18,645 offspring ranging from 4 weeks to 25 years old. Reduced cortical thickness and white matter integrity, and altered striatal reward processing were the most consistent findings in high-risk offspring across ages. These alterations are also present in adults with depression, suggesting the existence of neural markers of familial risk for depression. Additional studies reproducing current results, streamlining fMRI data analyses, and investigating underexplored topics (i.e intracortical myelin, gyrification, subcortical shape) may be among the next steps required to improve our understanding of neural markers indexing the vulnerability to depression.
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Affiliation(s)
- Anna Nazarova
- Department of Psychiatry, Dalhousie University, 5909 Veterans’ Memorial Lane, Abbie J. Lane Memorial Building QEII Health Sciences Centre, B3H 2E2 Halifax, NS, Canada,Nova Scotia Health Authority, 5909 Veterans’ Memorial Lane, B3H 2E2 Halifax, NS, Canada
| | - Matthias Schmidt
- Nova Scotia Health Authority, 5909 Veterans’ Memorial Lane, B3H 2E2 Halifax, NS, Canada,Department of Diagnostic Radiology, Dalhousie University, Victoria Building, Office of the Department Head, Room 307, 1276 South Park Street PO BOX 9000, B3H 2Y9 Halifax NS, Canada
| | - Jacob Cookey
- Department of Psychiatry, Dalhousie University, 5909 Veterans’ Memorial Lane, Abbie J. Lane Memorial Building QEII Health Sciences Centre, B3H 2E2 Halifax, NS, Canada,Nova Scotia Health Authority, 5909 Veterans’ Memorial Lane, B3H 2E2 Halifax, NS, Canada
| | - Rudolf Uher
- Department of Psychiatry, Dalhousie University, 5909 Veterans’ Memorial Lane, Abbie J. Lane Memorial Building QEII Health Sciences Centre, B3H 2E2 Halifax, NS, Canada,Nova Scotia Health Authority, 5909 Veterans’ Memorial Lane, B3H 2E2 Halifax, NS, Canada,Corresponding author at: Department of Psychiatry, Dalhousie University, 5909 Veterans’ Memorial Lane, Abbie J. Lane Memorial Building QEII Health Sciences Centre, B3H 2E2 Halifax, NS, Canada.
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8
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Afzali MH, Dagher A, Bourque J, Spinney S, Conrod P. Cross-lagged Relationships Between Depressive Symptoms and Altered Default Mode Network Connectivity Over the Course of Adolescence. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:774-781. [PMID: 34929346 DOI: 10.1016/j.bpsc.2021.10.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 10/05/2021] [Accepted: 10/28/2021] [Indexed: 06/14/2023]
Abstract
BACKGROUND Although the peak onset of depressive symptoms occurs during adolescence, very few studies have directly examined depression-related changes in resting-state (RS) default mode network activity during adolescence, controlling for potential neural markers of risk. METHODS This study used data from a longitudinal adolescent cohort to investigate age-specific, persistent (i.e., lagged), and dynamic associations between RS functional connectivity within the default mode network and depressive symptoms during adolescence using a random intercept cross-lagged panel framework. The Neuroventure sample consisted of 151 adolescents ages 12-14 at study entry without any neurological illness who were assessed three times during a 5-year follow-up with 97% follow-up across the three assessments. Depressive symptoms were measured using the depression subscale of the Brief Symptoms Inventory. RS functional magnetic resonance imaging data were collected using a 3T Siemens Magnetom Trio scanner in a single 6-minute sequence. RESULTS After controlling for relationships between random intercepts, future depression risk was predicted by RS couplings in the perigenual anterior cingulate cortex and anterior dorsomedial prefrontal cortex (β = -0.69, p = .014) and in the left inferior parietal lobule and anterior superior frontal gyrus (β = -0.43, p = .035). Increases in depressive symptoms at previous time points significantly predicted changes in functional connectivity between the posterior cingulate cortex and the precuneus and posterior middle temporal gyrus (β = 0.37, p = .039) and between the dorsal precuneus and posterior middle temporal gyrus (β = 0.47, p = .036). CONCLUSIONS This study was able to disassociate the RS brain markers of depression from those that appear to follow early-onset depression.
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Affiliation(s)
- Mohammad H Afzali
- Department of Psychiatry, University of Montréal, Montreal, Québec, Canada
| | - Alain Dagher
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Josiane Bourque
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sean Spinney
- Department of Psychiatry, University of Montréal, Montreal, Québec, Canada; Department of Computer Science and Operations Research, University of Montréal, Montreal, Québec, Canada; Mila - Quebec AI Institute, Montreal, Québec, Canada
| | - Patricia Conrod
- Department of Psychiatry, University of Montréal, Montreal, Québec, Canada; Centre Hospitalier Universitaire Sainte-Justine, Research Centre, Montreal, Québec, Canada.
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Zhou B, Chen Y, Zheng R, Jiang Y, Li S, Wei Y, Zhang M, Gao X, Wen B, Han S, Cheng J. Alterations of Static and Dynamic Functional Connectivity of the Nucleus Accumbens in Patients With Major Depressive Disorder. Front Psychiatry 2022; 13:877417. [PMID: 35615457 PMCID: PMC9124865 DOI: 10.3389/fpsyt.2022.877417] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 03/30/2022] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is associated with dysfunction of the reward system. As an important node in the reward system, the resting-state functional connectivity of the nucleus accumbens (NAc) is related to the etiology of MDD. However, an increasing number of recent studies propose that brain activity is dynamic over time, no study to date has examined whether the NAc dynamic functional connectivity (DFC) is changed in patients with MDD. Moreover, few studies have examined the impact of the clinical characteristics of patients with MDD. METHODS A total of 220 MDD patients and 159 healthy controls (HCs), group-matched for age, sex, and education level, underwent resting-state functional magnetic resonance imagining (rs-fMRI) scans. Seed-based resting-state functional connectivity (RSFC) and DFC of the NAc were conducted. Two sample t-tests were performed to alter RSFC/DFC of NAc. In addition, we examined the association between altered RSFC/DFC and depressive severity using Pearson correlation. Finally, we divided patients with MDD into different subgroups according to clinical characteristics and tested whether there were differences between the subgroups. RESULTS Compared with the HCs, MDD patients show reduced the NAc-based RSFC with the dorsolateral prefrontal cortex (DLPFC), hippocampus, middle temporal gyrus (MTG), inferior temporal gyrus (ITG), precuneus, and insula, and patients with MDD show reduced the NAc-based DFC with the DLPFC, ventromedial prefrontal cortex (VMPFC), ventrolateral prefrontal cortex (VLPFC), MTG, ITG, and insula. MDD severity was associated with RSFC between the NAc and precentral gyrus (r = 0.288, p = 0.002, uncorrected) and insula (r = 0.272, p = 0.003, uncorrected). CONCLUSION This study demonstrates abnormal RSFC and DFC between the NAc and distributed cerebral regions in MDD patients, characterized by decreased RSFC and DFC of the NAc connecting with the reward, executive, default-mode, and salience network. Our results expand previous descriptions of the NAc RSFC abnormalities in MDD, and the altered RSFC/DFC may reflect the disrupted function of the NAc.
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Affiliation(s)
- Bingqian Zhou
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yuan Chen
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ruiping Zheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yu Jiang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shuying Li
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - MengZhe Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - XinYu Gao
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Baohong Wen
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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10
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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: 188] [Impact Index Per Article: 94.0] [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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Langenecker SA, Westlund Schreiner M, Thomas LR, Bessette KL, DelDonno SR, Jenkins LM, Easter RE, Stange JP, Pocius SL, Dillahunt A, Love TM, Phan KL, Koppelmans V, Paulus M, Lindquist MA, Caffo B, Mickey BJ, Welsh RC. Using Network Parcels and Resting-State Networks to Estimate Correlates of Mood Disorder and Related Research Domain Criteria Constructs of Reward Responsiveness and Inhibitory Control. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:76-84. [PMID: 34271215 PMCID: PMC8748287 DOI: 10.1016/j.bpsc.2021.06.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 05/14/2021] [Accepted: 06/13/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND Resting-state graph-based network edges can be powerful tools for identification of mood disorders. We address whether these edges can be integrated with Research Domain Criteria (RDoC) constructs for accurate identification of mood disorder-related markers, while minimizing active symptoms of disease. METHODS We compared 132 individuals with currently remitted or euthymic mood disorder with 65 healthy comparison participants, ages 18-30 years. Subsets of smaller brain parcels, combined into three prominent networks and one network of parcels overlapping across these networks, were used to compare edge differences between groups. Consistent with the RDoC framework, we evaluated individual differences with performance measure regressors of inhibitory control and reward responsivity. Within an omnibus regression model, we predicted edges related to diagnostic group membership, performance within both RDoC domains, and relevant interactions. RESULTS There were several edges of mood disorder group, predominantly of greater connectivity across networks, different than those related to individual differences in inhibitory control and reward responsivity. Edges related to diagnosis and inhibitory control did not align well with prior literature, whereas edges in relation to reward responsivity constructs showed greater alignment with prior literature. Those edges in interaction between RDoC constructs and diagnosis showed a divergence for inhibitory control (negative interactions in default mode) relative to reward (positive interactions with salience and emotion network). CONCLUSIONS In conclusion, there is evidence that prior simple network models of mood disorders are currently of insufficient biological or diagnostic clarity or that parcel-based edges may be insufficiently sensitive for these purposes.
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Affiliation(s)
| | | | - Leah R Thomas
- Department of Psychiatry, University of Utah, Salt Lake City, Utah; Department of Psychology, University of Utah, Salt Lake City, Utah
| | - Katie L Bessette
- Department of Psychiatry, University of Utah, Salt Lake City, Utah; Department of Psychiatry & Psychology, University of Illinois at Chicago, Chicago, Illinois
| | - Sophia R DelDonno
- Department of Psychiatry & Psychology, University of Illinois at Chicago, Chicago, Illinois
| | - Lisanne M Jenkins
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Evanston, Illinois
| | - Rebecca E Easter
- Department of Psychiatry & Psychology, University of Illinois at Chicago, Chicago, Illinois
| | - Jonathan P Stange
- Department of Psychiatry & Psychology, University of Illinois at Chicago, Chicago, Illinois; Department of Psychology, University of Southern California, Los Angeles, California
| | | | - Alina Dillahunt
- Department of Psychiatry, University of Utah, Salt Lake City, Utah
| | - Tiffany M Love
- Department of Psychiatry, University of Utah, Salt Lake City, Utah
| | - K Luan Phan
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, Ohio
| | | | - Martin Paulus
- Laureate Institute for Brain Research, Tulsa, Oklahoma
| | | | - Brian Caffo
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Brian J Mickey
- Department of Psychiatry, University of Utah, Salt Lake City, Utah
| | - Robert C Welsh
- Department of Psychiatry, University of Utah, Salt Lake City, Utah
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12
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Uchida M, Hung Y, Green A, Kelberman C, Capella J, Gaillard SL, Gabrieli JDE, Biederman J. Association between frontal cortico-limbic white-matter microstructure and risk for pediatric depression. Psychiatry Res Neuroimaging 2021; 318:111396. [PMID: 34695702 PMCID: PMC9073702 DOI: 10.1016/j.pscychresns.2021.111396] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 10/13/2021] [Accepted: 10/14/2021] [Indexed: 10/20/2022]
Abstract
This study aimed to identify white-matter microstructural characteristics associated with risk for pediatric major depressive disorder (MDD) measured by the Child Behavior Checklist (CBCL) Anxiety/Depression scores. Children (N = 32) of both sexes, aged 6-12, underwent T1-weighted whole-head anatomical and diffusion-weighted imaging. Each participant's mean diffusion measure image was generated and thinned to create an alignment-invariant tract representation. Voxel-wise analysis on the resulting map was carried out in Track Based Spatial Statistics (TBSS) using general linear models by regressing the CBCL-Anxiety/Depression score against measures of diffusion tensor imaging (DTI). We also compared these results with prior DTI findings from the same children associated with CBCL-Emotion Dysregulation profile, an indicator for bipolar disorder. TBSS voxel-wise analysis showed a significant negative correlation between fractional anisotropy (FA) and CBCL-Anxiety/Depression scores localized in the right anterior cingulum and connected corpus callosal region. The negative FA correlations in these regions were greater in CBCL-Anxiety/ Depression scores compared to CBCL-Emotional Dysregulation scores. Reduced white-matter connectivity in the anterior cingulum and connected corpus callosal region may represent a biomarker of risk for pediatric MDD. These results may help identify brain differences associated with the development of MDD, and assist with earlier clinical identification of pediatric MDD.
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Affiliation(s)
- Mai Uchida
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, MA, United States of America; Department of Psychiatry, Harvard Medical School, Boston, MA, United States of America.
| | - Yuwen Hung
- MIT Integrated Learning Initiative, Department of Brain and Cognitive Sciences, and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States of America
| | - Allison Green
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, MA, United States of America
| | - Caroline Kelberman
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, MA, United States of America
| | - James Capella
- MIT Integrated Learning Initiative, Department of Brain and Cognitive Sciences, and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States of America
| | - Schuylar L Gaillard
- MIT Integrated Learning Initiative, Department of Brain and Cognitive Sciences, and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States of America
| | - John D E Gabrieli
- MIT Integrated Learning Initiative, Department of Brain and Cognitive Sciences, and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States of America
| | - Joseph Biederman
- Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Massachusetts General Hospital, Boston, MA, United States of America; Department of Psychiatry, Harvard Medical School, Boston, MA, United States of America
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13
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Blank TS, Meyer BM, Rabl U, Schögl P, Wieser M, Pezawas L. Neurobiological predictors for clinical trajectories in fully remitted depressed patients. Depress Anxiety 2021; 38:447-455. [PMID: 33131185 PMCID: PMC8048641 DOI: 10.1002/da.23108] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 08/31/2020] [Accepted: 10/02/2020] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Serious long term health and economic detriment accompany residual depressive symptoms even in fully remitted depressed patients (rMDD). Neurobiological predictors for rMDD patients' illness trajectory are absent. METHODS rMDD patients (n = 39, female = 26) underwent magnetic resonance imaging. Baseline analyses of brain structure via voxel-based morphometry and brain function via functional connectivity (FC) at rest were correlated with changes in the Hamilton Depression Rating Scale between baseline and follow-up, and incidence of a recurrent major depressive episode (MDE) within a 2-year period. RESULTS Gray matter increases in default mode (DN) regions in the posterior cingulate cortex (PCC) and increased resting-state FC within the DN both predicted change of depressive symptoms. Patients with recurrent MDE had larger bilateral nucleus accumbens and left insula volumes. Post hoc exploratory analysis of nucleus accumbens and insula conceptualized as part of the brain's reward circuit demonstrated reduced connectivity in patients with recurrent MDE. CONCLUSIONS Higher DN connectivity and PCC volume coinciding with a more favorable course of symptoms suggest neural mechanisms of self-recovery beyond the phase of active medical treatment. Alterations in the brain's reward circuit might be a starting point for designing maintenance treatments that prevent recurrent MDEs in rMDD patients.
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Affiliation(s)
- Thomas S. Blank
- Department of Psychiatry and PsychotherapyMedical University of ViennaAustria
| | - Bernhard M. Meyer
- Department of Psychiatry and PsychotherapyMedical University of ViennaAustria
| | - Ulrich Rabl
- Department of Psychiatry and PsychotherapyMedical University of ViennaAustria
| | - Paul Schögl
- Department of Psychiatry and PsychotherapyMedical University of ViennaAustria
| | | | - Lukas Pezawas
- Department of Psychiatry and PsychotherapyMedical University of ViennaAustria
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14
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Wackerhagen C, Veer IM, Erk S, Mohnke S, Lett TA, Wüstenberg T, Romanczuk-Seiferth NY, Schwarz K, Schweiger JI, Tost H, Meyer-Lindenberg A, Heinz A, Walter H. Amygdala functional connectivity in major depression - disentangling markers of pathology, risk and resilience. Psychol Med 2020; 50:2740-2750. [PMID: 31637983 DOI: 10.1017/s0033291719002885] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
BACKGROUND Limbic-cortical imbalance is an established model for the neurobiology of major depressive disorder (MDD), but imaging genetics studies have been contradicting regarding potential risk and resilience mechanisms. Here, we re-assessed previously reported limbic-cortical alterations between MDD relatives and controls in combination with a newly acquired sample of MDD patients and controls, to disentangle pathology, risk, and resilience. METHODS We analyzed functional magnetic resonance imaging data and negative affectivity (NA) of MDD patients (n = 48), unaffected first-degree relatives of MDD patients (n = 49) and controls (n = 109) who performed a faces matching task. Brain response and task-dependent amygdala functional connectivity (FC) were compared between groups and assessed for associations with NA. RESULTS Groups did not differ in task-related brain activation but activation in the superior frontal gyrus (SFG) was inversely correlated with NA in patients and controls. Pathology was associated with task-independent decreases of amygdala FC with regions of the default mode network (DMN) and decreased amygdala FC with the medial frontal gyrus during faces matching, potentially reflecting a task-independent DMN predominance and a limbic-cortical disintegration during faces processing in MDD. Risk was associated with task-independent decreases of amygdala-FC with fronto-parietal regions and reduced faces-associated amygdala-fusiform gyrus FC. Resilience corresponded to task-independent increases in amygdala FC with the perigenual anterior cingulate cortex (pgACC) and increased FC between amygdala, pgACC, and SFG during faces matching. CONCLUSION Our results encourage a refinement of the limbic-cortical imbalance model of depression. The validity of proposed risk and resilience markers needs to be tested in prospective studies. Further limitations are discussed.
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Affiliation(s)
- Carolin Wackerhagen
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - Ilya M Veer
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - Susanne Erk
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - Sebastian Mohnke
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - Tristram A Lett
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
- Department of Neurology with Experimental Neurology, Charité - Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - Torsten Wüstenberg
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - Nina Y Romanczuk-Seiferth
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - Kristina Schwarz
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Germany
| | - Janina I Schweiger
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Germany
| | - Heike Tost
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Germany
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Germany
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
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15
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Chiarella J, Schumann L, Pomares FB, Frodl T, Tozzi L, Nemoda Z, Yu P, Szyf M, Khalid-Khan S, Booij L. DNA methylation differences in stress-related genes, functional connectivity and gray matter volume in depressed and healthy adolescents. J Affect Disord 2020; 271:160-168. [PMID: 32479312 DOI: 10.1016/j.jad.2020.03.062] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 01/09/2020] [Accepted: 03/22/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND Studies in adult depressed patients have indicated that altered DNA methylation patterns at genes related to serotonin and HPA axis functioning (e.g., SLC6A4, FKBP5) are associated with changes in frontolimbic functional connectivity and structure. Here, we examined whether these associations can be generalized to adolescents. METHODS 25 adolescents with depression (Mean age = 15.72 ± 0.94 SD; 20 girls) and 20 healthy controls (Mean age = 16.05 ± 1.5 SD; 16 girls) underwent a functional and structural magnetic resonance imaging protocol, which included a resting-state assessment and measures of brain morphometry. DNA was obtained from saliva. Levels of SLC6A4 and FKBP5 methylation were determined using pyrosequencing. RESULTS SLC6A4 methylation was linked to amygdala-frontal operculum resting-state functional connectivity (rs-FC), regardless of diagnosis, and was differentially associated with inferior orbitofrontal gyrus (IFOG) gray matter (GM) volume in adolescents with depression and controls. Replicating and extending previous findings in adults, FKBP5 methylation was associated with IFOG GM volume in depressed and healthy adolescents, as well as orbitofrontal cortex (OFC)-rostral prefrontal cortex (RPFC) connectivity in healthy adolescents only. LIMITATIONS Effects of medication use or genotype cannot be ruled out. Further, the relatively small sample size and predominately female sample may limit generalizability. CONCLUSIONS These findings suggest that previously observed associations between SLC6A4 and FKBP5 methylation and frontolimbic processes in adult depressed patients can be in part generalized to adolescent patients. Further, findings suggest that measuring peripheral methylation at these genes deserves further attention as potential markers of typical and atypical development.
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Affiliation(s)
- Julian Chiarella
- Department of Psychology, Concordia University, Montreal, Canada; CHU Sainte-Justine Hospital Research Centre, University of Montreal, Montreal, Canada; Department of Psychology, Queen's University, Kingston, Canada
| | | | | | - Thomas Frodl
- Department of Psychiatry and Psychotherapy, Otto von Guericke University, Magdeburg, Germany
| | - Leonardo Tozzi
- Department of Psychiatry, Trinity College School of Medicine and Trinity College Institute of Neuroscience, Dublin, Ireland
| | - Zsofia Nemoda
- Department of Psychology, Concordia University, Montreal, Canada; Department of Pharmacology and Therapeutics, McGill University, Montreal, Canada; Department of Medical Chemistry, Molecular Biology and Pathobiochemistry, Semmelweis University, Budapest, Hungary
| | - Patricia Yu
- Department of Pharmacology and Therapeutics, McGill University, Montreal, Canada
| | - Moshe Szyf
- Department of Pharmacology and Therapeutics, McGill University, Montreal, Canada
| | - Sarosh Khalid-Khan
- Department of Psychiatry, Division of Child Psychiatry, Hotel Dieu Hospital, Queen's University, Kingston, Canada
| | - Linda Booij
- Department of Psychology, Concordia University, Montreal, Canada; CHU Sainte-Justine Hospital Research Centre, University of Montreal, Montreal, Canada; Department of Psychology, Queen's University, Kingston, Canada.
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16
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Han S, Cui Q, Wang X, Chen Y, Li D, Li L, Guo X, Fan YS, Guo J, Sheng W, Lu F, He Z, Chen H. The anhedonia is differently modulated by structural covariance network of NAc in bipolar disorder and major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry 2020; 99:109865. [PMID: 31962188 DOI: 10.1016/j.pnpbp.2020.109865] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 01/11/2020] [Accepted: 01/15/2020] [Indexed: 12/23/2022]
Abstract
During depressive episode, bipolar disorder (BD) patients share indistinguishable depression symptoms with major depressive disorder (MDD).However, whether neural correlates underlying the anhedonia, a core feature of depression, is different between BD and MDD remains unknown. To explore neural correlates underlying the anhedonia in BD and MDD, structural T1-weighted images from 36 depressed BD patients, 40 depressed MDD patients matched for depression severity and 34 health controls (HCs) were scanned. Considering the vital role of nucleus accumbens (NAc) in the anhedonia, we constructed the structural covariance network of NAc for each subject. Then, we explored altered structural covariance network of NAc and its interaction with the anhedonia severity in BD and MDD patients. As a result, BD and MDD patients shared decreased structural covariance of NAc connected to prefrontal gyrus, bilateral striatum extending to bilateral anterior insula. Apart from these regions, BD patients presented specifically increased structural covariance of NAc connected to left hippocampus extending to thalamus. The interaction between structural covariance network of NAc and the anhedonia severity in MDD was mainly associated anterior insula (AIC), amygdala, anterior cingulate cortex (ACC)and caudate while that in BD was mainly located in striatum and prefrontal cortex. Our results found that BD and MDD patients presented commonly and distinctly altered structural covariance network of NAc. What is more, the neural correlates underlying the anhedonia in BD and MDD might be different.
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Affiliation(s)
- Shaoqiang Han
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Qian Cui
- MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu 610054, PR China; School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, PR China.
| | - Xiao Wang
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Yuyan Chen
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Di Li
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Liang Li
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Xiaonan Guo
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Yun-Shuang Fan
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Jing Guo
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Wei Sheng
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Fengmei Lu
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Zongling He
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China.
| | - Huafu Chen
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China; MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu 610054, PR China.
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17
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Dhami P, Knyahnytska Y, Atluri S, Lee J, Courtney DB, Croarkin PE, Blumberger DM, Daskalakis ZJ, Farzan F. Feasibility and clinical effects of theta burst stimulation in youth with major depressive disorders: An open-label trial. J Affect Disord 2019; 258:66-73. [PMID: 31398593 DOI: 10.1016/j.jad.2019.07.084] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 07/25/2019] [Accepted: 07/29/2019] [Indexed: 12/28/2022]
Abstract
BACKGROUND Conventional treatments for youth depression, such as antidepressants, have modest efficacy, side effects, and ongoing controversies regarding safety. Repetitive transcranial magnetic stimulation (rTMS), specifically theta burst stimulation (TBS), applied to the dorsolateral prefrontal cortex (DLPFC) has demonstrated efficacy for the treatment of depression in adults. However, the feasibility and clinical response to TBS for youth depression has yet to be explored. METHODS Twenty participants between the ages of 16 to 24 years old with MDD were recruited. The intervention consisted of 10 treatment sessions over the course of two weeks, in which participants received intermittent TBS and continuous TBS stimulation to the left and right DLPFC, respectively. Change in the Hamilton Rating Scale for Depression (HRSD-17) score was the primary outcome. Clinical assessments occurred at baseline, after the fifth treatment session, and within a week after treatment completion. RESULTS Of the twenty participants, eighteen received all TBS sessions, and seventeen completed all clinical assessments. There was a significant reduction in depressive symptoms following treatment completion (p < 0.001). Four of the twenty patients had more than 50% reduction in their depressive symptoms, two of whom achieved remission. All participants received and tolerated at least six daily TBS treatments with no major adverse events. LIMITATIONS Study was an uncontrolled, open-label design. CONCLUSION Ten sessions of TBS was feasible, well tolerated, and appeared to have clinical effects for the treatment of depressed youth. Future sham-controlled randomized trials are warranted to validate these findings in a larger cohort of youth depression.
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Affiliation(s)
- Prabhjot Dhami
- Centre for Addiction and Mental Health, 1001 Queen St. W, Toronto, Ontario, M6J 1A8, Canada; Institute of Medical Science, Faculty of Medicine, University of Toronto, Medical Sciences Building, 1 King's College Circle, Toronto, Ontario, M5S 1A8, Canada
| | - Yuliya Knyahnytska
- Centre for Addiction and Mental Health, 1001 Queen St. W, Toronto, Ontario, M6J 1A8, Canada; Department of Psychiatry, University of Toronto, 250 College Street, 8th floor, Toronto, Ontario, M5T 1R8, Canada
| | - Sravya Atluri
- Centre for Addiction and Mental Health, 1001 Queen St. W, Toronto, Ontario, M6J 1A8, Canada; Institute of Biomaterial and Biomedical Engineering, Rosebrugh Building, Room 407, 164 College St, Toronto, Ontario, M5S 3G9, Canada
| | - Jonathan Lee
- Centre for Addiction and Mental Health, 1001 Queen St. W, Toronto, Ontario, M6J 1A8, Canada; Department of Psychiatry, University of Toronto, 250 College Street, 8th floor, Toronto, Ontario, M5T 1R8, Canada; Institute of Medical Science, Faculty of Medicine, University of Toronto, Medical Sciences Building, 1 King's College Circle, Toronto, Ontario, M5S 1A8, Canada
| | - Darren B Courtney
- Centre for Addiction and Mental Health, 1001 Queen St. W, Toronto, Ontario, M6J 1A8, Canada; Department of Psychiatry, University of Toronto, 250 College Street, 8th floor, Toronto, Ontario, M5T 1R8, Canada
| | | | - Daniel M Blumberger
- Centre for Addiction and Mental Health, 1001 Queen St. W, Toronto, Ontario, M6J 1A8, Canada; Department of Psychiatry, University of Toronto, 250 College Street, 8th floor, Toronto, Ontario, M5T 1R8, Canada; Institute of Medical Science, Faculty of Medicine, University of Toronto, Medical Sciences Building, 1 King's College Circle, Toronto, Ontario, M5S 1A8, Canada
| | - Zafiris J Daskalakis
- Centre for Addiction and Mental Health, 1001 Queen St. W, Toronto, Ontario, M6J 1A8, Canada; Department of Psychiatry, University of Toronto, 250 College Street, 8th floor, Toronto, Ontario, M5T 1R8, Canada; Institute of Medical Science, Faculty of Medicine, University of Toronto, Medical Sciences Building, 1 King's College Circle, Toronto, Ontario, M5S 1A8, Canada
| | - Faranak Farzan
- Centre for Addiction and Mental Health, 1001 Queen St. W, Toronto, Ontario, M6J 1A8, Canada; Department of Psychiatry, University of Toronto, 250 College Street, 8th floor, Toronto, Ontario, M5T 1R8, Canada; Institute of Medical Science, Faculty of Medicine, University of Toronto, Medical Sciences Building, 1 King's College Circle, Toronto, Ontario, M5S 1A8, Canada; School of Mechatronic Systems Engineering, Simon Fraser University, 250-13450 102 Avenue, Surrey, British Columbia, V3T 0A3, Canada.
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18
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Hafeman DM. Brain Markers of Familial Risk for Depression: Steps Toward Clinical Relevance? J Am Acad Child Adolesc Psychiatry 2018; 57:728-729. [PMID: 30274646 DOI: 10.1016/j.jaac.2018.06.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Accepted: 07/16/2018] [Indexed: 10/28/2022]
Abstract
An important goal in the field of psychiatry is to identify individuals at risk for major psychopathology, prior to actual onset of disorder. Discovery of risk markers that predict onset of disorder, if they are sensitive and specific, could help in the process of early diagnosis, and ultimately lead to improved early intervention and prevention. This is especially a key aspiration for disorders that take a tremendous toll on health and functioning in both adolescence and adulthood, including depression, bipolar disorder, and schizophrenia.
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