1
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Ironside M, Duda JM, Moser AD, Holsen LM, Zuo CS, Du F, Perlo S, Richards CE, Chen X, Nickerson LD, Null KE, Esfand SM, Alexander MM, Crowley DJ, Lauze M, Misra M, Goldstein JM, Pizzagalli DA. Association of Lower Rostral Anterior Cingulate GABA+ and Dysregulated Cortisol Stress Response With Altered Functional Connectivity in Young Adults With Lifetime Depression: A Multimodal Imaging Investigation of Trait and State Effects. Am J Psychiatry 2024; 181:639-650. [PMID: 38685857 PMCID: PMC11216878 DOI: 10.1176/appi.ajp.20230382] [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] [Indexed: 05/02/2024]
Abstract
OBJECTIVE Preclinical work suggests that excess glucocorticoids and reduced cortical γ-aminobutyric acid (GABA) may affect sex-dependent differences in brain regions implicated in stress regulation and depressive phenotypes. The authors sought to address a critical gap in knowledge, namely, how stress circuitry is functionally affected by glucocorticoids and GABA in current or remitted major depressive disorder (MDD). METHODS Multimodal imaging data were collected from 130 young adults (ages 18-25), of whom 44 had current MDD, 42 had remitted MDD, and 44 were healthy comparison subjects. GABA+ (γ-aminobutyric acid and macromolecules) was assessed using magnetic resonance spectroscopy, and task-related functional MRI data were collected under acute stress and analyzed using data-driven network modeling. RESULTS Across modalities, trait-related abnormalities emerged. Relative to healthy comparison subjects, both clinical groups were characterized by lower rostral anterior cingulate cortex (rACC) GABA+ and frontoparietal network amplitude but higher amplitude in salience and stress-related networks. For the remitted MDD group, differences from the healthy comparison group emerged in the context of elevated cortisol levels, whereas the MDD group had lower cortisol levels than the healthy comparison group. In the comparison group, frontoparietal and stress-related network connectivity was positively associated with cortisol level (highlighting putative top-down regulation of stress), but the opposite relationship emerged in the MDD and remitted MDD groups. Finally, rACC GABA+ was associated with stress-induced changes in connectivity between overlapping default mode and salience networks. CONCLUSIONS Lifetime MDD was characterized by reduced rACC GABA+ as well as dysregulated cortisol-related interactions between top-down control (frontoparietal) and threat (task-related) networks. These findings warrant further investigation of the role of GABA in the vulnerability to and treatment of MDD.
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Affiliation(s)
- Maria Ironside
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts, USA
- Laureate Institute for Brain Research, Tulsa, Oklahoma, USA
| | - Jessica M. Duda
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts, USA
| | - Amelia D. Moser
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts, USA
| | - Laura M. Holsen
- Harvard Medical School, Boston, Massachusetts, USA
- Divison of Women’s Health, Department of Medicine, Brigham & Women’s Hospital, Boston, Massachusetts, USA
- Department of Psychiatry, Brigham & Women’s Hospital, Boston, Massachusetts, USA
- Innovation Center on Sex Differences in Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Chun S. Zuo
- Harvard Medical School, Boston, Massachusetts, USA
- McLean Imaging Center, McLean Hospital, Belmont, Massachusetts, USA
| | - Fei Du
- Harvard Medical School, Boston, Massachusetts, USA
- McLean Imaging Center, McLean Hospital, Belmont, Massachusetts, USA
| | - Sarah Perlo
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts, USA
| | - Christine E. Richards
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts, USA
| | - Xi Chen
- Harvard Medical School, Boston, Massachusetts, USA
- McLean Imaging Center, McLean Hospital, Belmont, Massachusetts, USA
| | - Lisa D. Nickerson
- Harvard Medical School, Boston, Massachusetts, USA
- McLean Imaging Center, McLean Hospital, Belmont, Massachusetts, USA
| | - Kaylee E. Null
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts, USA
| | - Shiba M. Esfand
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts, USA
| | - Madeline M. Alexander
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts, USA
| | - David J. Crowley
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts, USA
| | - Meghan Lauze
- Division of Pediatric Endocrinology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Madhusmita Misra
- Harvard Medical School, Boston, Massachusetts, USA
- Division of Pediatric Endocrinology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Innovation Center on Sex Differences in Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jill M. Goldstein
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA
- Innovation Center on Sex Differences in Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Diego A. Pizzagalli
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- McLean Imaging Center, McLean Hospital, Belmont, Massachusetts, USA
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2
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Lyu C, Lyu X, Gong Q, Gao B, Wang Y. Neural activation signatures in individuals with subclinical depression: A task-fMRI meta-analysis. J Affect Disord 2024; 362:104-113. [PMID: 38909758 DOI: 10.1016/j.jad.2024.06.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 04/30/2024] [Accepted: 06/14/2024] [Indexed: 06/25/2024]
Abstract
BACKGROUND Previous task-related functional magnetic resonance imaging (task-fMRI) investigations have documented abnormal brain activation associated with subclinical depression (SD), defined as a clinically relevant level of depressive symptoms that does not meet the diagnostic criteria for major depressive disorder. However, these task-fMRI studies have not reported consistent conclusions. Performing a voxel-based meta-analysis of task-fMRI studies may yield reliable findings. METHODS We extracted the peak coordinates and t values of included studies and analyzed brain activation between individuals with SD and healthy controls (HCs) using anisotropic effect-size signed differential mapping (AES-SDM). RESULTS A systematic literature search identified eight studies, including 266 individuals with SD and 281 HCs (aged 14 to 25). The meta-analysis showed that individuals with SD exhibited significantly greater activation in the right lenticular nucleus and putamen according to task-fMRI. The meta-regression analysis revealed a negative correlation between the proportion of females in a group and activation in the right striatum. LIMITATIONS The recruitment criteria for individuals with SD, type of tasks and MRI acquisition parameters of included studies were heterogeneous. The results should be interpreted cautiously due to insufficient included studies. CONCLUSION Our findings suggest that individuals with SD exhibit increased activation in the right lenticular nucleus, putamen and striatum, which may indicate a compensatory increase in response to an impairment of insular and striatal function caused by depression. These results provide valuable insights into the potential pathophysiology of brain dysfunction in SD.
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Affiliation(s)
- Cui Lyu
- Department of Psychiatry, Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Xinyue Lyu
- Department of Radiology, Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Qiyong Gong
- Department of Radiology, Affiliated Hospital of Guizhou Medical University, Guiyang, 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, China
| | - Bo Gao
- Department of Radiology, Affiliated Hospital of Guizhou Medical University, Guiyang, China; Key Laboratory of Brain Imaging, Guizhou Medical University, Guiyang, China.
| | - Yiming Wang
- Department of Psychiatry, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
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3
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Hendry E, McCallister B, Elman DJ, Freeman R, Borsook D, Elman I. Validity of mental and physical stress models. Neurosci Biobehav Rev 2024; 158:105566. [PMID: 38307304 PMCID: PMC11082879 DOI: 10.1016/j.neubiorev.2024.105566] [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: 11/06/2023] [Revised: 01/13/2024] [Accepted: 01/27/2024] [Indexed: 02/04/2024]
Abstract
Different stress models are employed to enhance our understanding of the underlying mechanisms and explore potential interventions. However, the utility of these models remains a critical concern, as their validities may be limited by the complexity of stress processes. Literature review revealed that both mental and physical stress models possess reasonable construct and criterion validities, respectively reflected in psychometrically assessed stress ratings and in activation of the sympathoadrenal system and the hypothalamic-pituitary-adrenal axis. The findings are less robust, though, in the pharmacological perturbations' domain, including such agents as adenosine or dobutamine. Likewise, stress models' convergent- and discriminant validity vary depending on the stressors' nature. Stress models share similarities, but also have important differences regarding their validities. Specific traits defined by the nature of the stressor stimulus should be taken into consideration when selecting stress models. Doing so can personalize prevention and treatment of stress-related antecedents, its acute processing, and chronic sequelae. Further work is warranted to refine stress models' validity and customize them so they commensurate diverse populations and circumstances.
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Affiliation(s)
- Erin Hendry
- Center for Autonomic and Peripheral Nerve Disorders, Harvard Medical School, Boston, MA, USA; Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Brady McCallister
- Center for Autonomic and Peripheral Nerve Disorders, Harvard Medical School, Boston, MA, USA
| | - Dan J Elman
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Roy Freeman
- Center for Autonomic and Peripheral Nerve Disorders, Harvard Medical School, Boston, MA, USA; Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - David Borsook
- Departments of Psychiatry and Radiology, Massachusetts General Hospital, Harvard Medical School, Department of Anesthesiology, Harvard Medical School, Boston, MA, USA.
| | - Igor Elman
- Department of Psychiatry, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA
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4
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Taylor WD, Ajilore O, Karim HT, Butters MA, Krafty R, Boyd BD, Banihashemi L, Szymkowicz SM, Ryan C, Hassenstab J, Landman BA, Andreescu C. Assessing depression recurrence, cognitive burden, and neurobiological homeostasis in late life: Design and rationale of the REMBRANDT Study. JOURNAL OF MOOD AND ANXIETY DISORDERS 2024; 5:100038. [PMID: 38523701 PMCID: PMC10959248 DOI: 10.1016/j.xjmad.2023.100038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/26/2024]
Abstract
Background Late-life depression is characterized by disability, cognitive impairment and decline, and a high risk of recurrence following remission. Aside from past psychiatric history, prognostic neurobiological and clinical factors influencing recurrence risk are unclear. Moreover, it is unclear if cognitive impairment predisposes to recurrence, or whether recurrent episodes may accelerate brain aging and cognitive decline. The purpose of the REMBRANDT study (Recurrence markers, cognitive burden, and neurobiological homeostasis in late-life depression) is to better elucidate these relationships and identify phenotypic, cognitive, environmental, and neurobiological factors contributing to and predictive of depression recurrence. Methods Across three sites, REMBRANDT will enroll 300 depressed elders who will receive antidepressant treatment. The goal is to enroll 210 remitted depressed participants and 75 participants with no mental health history into a two-year longitudinal phase focusing on depression recurrence. Participants are evaluated every 2 months with deeper assessments occurring every 8 months, including structural and functional neuroimaging, environmental stress assessments, deep symptom phenotyping, and two weeks of 'burst' ecological momentary assessments to elucidate variability in symptoms and cognitive performance. A broad neuropsychological test battery is completed at the beginning and end of the longitudinal study. Significance REMBRANDT will improve our understanding of how alterations in neural circuits and cognition that persist during remission contribute to depression recurrence vulnerability. It will also elucidate how these processes may contribute to cognitive impairment and decline. This project will obtain deep phenotypic data that will help identify vulnerability and resilience factors that can help stratify individual clinical risk.
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Affiliation(s)
- Warren D. Taylor
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Science, Vanderbilt University Medical Center, Nashville, TN
- Geriatric Research, Education, and Clinical Center, Veterans Affairs Tennessee Valley Health System, Nashville, TN
| | - Olusola Ajilore
- Department of Psychiatry, University of Illinois-Chicago, Chicago, IL
| | - Helmet T. Karim
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Meryl A. Butters
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Robert Krafty
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA
| | - Brian D. Boyd
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Science, Vanderbilt University Medical Center, Nashville, TN
| | - Layla Banihashemi
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Sarah M. Szymkowicz
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Science, Vanderbilt University Medical Center, Nashville, TN
| | - Claire Ryan
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Science, Vanderbilt University Medical Center, Nashville, TN
| | - Jason Hassenstab
- Departments of Neurology and Psychiatry, Washington University in St. Louis, St. Louis, MO
| | - Bennett A. Landman
- Departments of Computer Science, Electrical Engineering, and Biomedical Engineering, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center
| | - Carmen Andreescu
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA
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5
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Zhukovsky P, Ironside M, Duda JM, Moser AD, Null KE, Dhaynaut M, Normandin M, Guehl NJ, El Fakhri G, Alexander M, Holsen LM, Misra M, Narendran R, Hoye JM, Morris ED, Esfand SM, Goldstein JM, Pizzagalli DA. Acute Stress Increases Striatal Connectivity With Cortical Regions Enriched for μ and κ Opioid Receptors. Biol Psychiatry 2024:S0006-3223(24)00106-9. [PMID: 38395372 DOI: 10.1016/j.biopsych.2024.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 01/22/2024] [Accepted: 02/10/2024] [Indexed: 02/25/2024]
Abstract
BACKGROUND Understanding the neurobiological effects of stress is critical for addressing the etiology of major depressive disorder (MDD). Using a dimensional approach involving individuals with differing degree of MDD risk, we investigated 1) the effects of acute stress on cortico-cortical and subcortical-cortical functional connectivity (FC) and 2) how such effects are related to gene expression and receptor maps. METHODS Across 115 participants (37 control, 39 remitted MDD, 39 current MDD), we evaluated the effects of stress on FC during the Montreal Imaging Stress Task. Using partial least squares regression, we investigated genes whose expression in the Allen Human Brain Atlas was associated with anatomical patterns of stress-related FC change. Finally, we correlated stress-related FC change maps with opioid and GABAA (gamma-aminobutyric acid A) receptor distribution maps derived from positron emission tomography. RESULTS Results revealed robust effects of stress on global cortical connectivity, with increased global FC in frontoparietal and attentional networks and decreased global FC in the medial default mode network. Moreover, robust increases emerged in FC of the caudate, putamen, and amygdala with regions from the ventral attention/salience network, frontoparietal network, and motor networks. Such regions showed preferential expression of genes involved in cell-to-cell signaling (OPRM1, OPRK1, SST, GABRA3, GABRA5), similar to previous genetic MDD studies. CONCLUSIONS Acute stress altered global cortical connectivity and increased striatal connectivity with cortical regions that express genes that have previously been associated with imaging abnormalities in MDD and are rich in μ and κ opioid receptors. These findings point to overlapping circuitry underlying stress response, reward, and MDD.
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Affiliation(s)
- Peter Zhukovsky
- Center for Depression, Anxiety and Stress Research, Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, Massachusetts
| | - Maria Ironside
- Center for Depression, Anxiety and Stress Research, Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, Massachusetts; Laureate Institute for Brain Research, The University of Tulsa, Tulsa, Oklahoma
| | - Jessica M Duda
- Center for Depression, Anxiety and Stress Research, Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, Massachusetts
| | - Amelia D Moser
- Center for Depression, Anxiety and Stress Research, Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, Massachusetts; Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado
| | - Kaylee E Null
- Center for Depression, Anxiety and Stress Research, Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, Massachusetts; Department of Psychology, University of California, Los Angeles, Los Angeles, California
| | - Maeva Dhaynaut
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Marc Normandin
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Nicolas J Guehl
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Georges El Fakhri
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Madeline Alexander
- Center for Depression, Anxiety and Stress Research, Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, Massachusetts
| | - Laura M Holsen
- Division of Women's Health, Brigham and Women's Hospital, Boston, Massachusetts; Innovation Center on Sex Differences in Medicine, Massachusetts General Hospital, Massachusetts General Hospital Research Institute, Harvard Medical School, Boston, Massachusetts; Clinical Neuroscience Laboratory of Sex Differences in the Brain, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Madhusmita Misra
- Division of Pediatric Endocrinology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Rajesh Narendran
- Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jocelyn M Hoye
- Yale Positron Emission Tomography Center, Yale School of Medicine, New Haven, Connecticut; Department of Radiology and Biomedical Imaging, Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Evan D Morris
- Yale Positron Emission Tomography Center, Yale School of Medicine, New Haven, Connecticut; Department of Radiology and Biomedical Imaging, Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Shiba M Esfand
- Center for Depression, Anxiety and Stress Research, Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jill M Goldstein
- Department of Psychology, Yale University, New Haven, Connecticut; Division of Women's Health, Brigham and Women's Hospital, Boston, Massachusetts; Innovation Center on Sex Differences in Medicine, Massachusetts General Hospital, Massachusetts General Hospital Research Institute, Harvard Medical School, Boston, Massachusetts; Clinical Neuroscience Laboratory of Sex Differences in the Brain, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Departments of Psychiatry and Medicine, Harvard Medical School, Boston, Massachusetts
| | - Diego A Pizzagalli
- Center for Depression, Anxiety and Stress Research, Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, Massachusetts.
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6
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Dai P, Zhou Y, Shi Y, Lu D, Chen Z, Zou B, Liu K, Liao S. Classification of MDD using a Transformer classifier with large-scale multisite resting-state fMRI data. Hum Brain Mapp 2024; 45:e26542. [PMID: 38088473 PMCID: PMC10789197 DOI: 10.1002/hbm.26542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 10/27/2023] [Accepted: 11/09/2023] [Indexed: 01/16/2024] Open
Abstract
Major depressive disorder (MDD) is one of the most common psychiatric disorders worldwide with high recurrence rate. Identifying MDD patients, particularly those with recurrent episodes with resting-state fMRI, may reveal the relationship between MDD and brain function. We proposed a Transformer-Encoder model, which utilized functional connectivity extracted from large-scale multisite rs-fMRI datasets to classify MDD and HC. The model discarded the Transformer's Decoder part, reducing the model's complexity and decreasing the number of parameters to adapt to the limited sample size and it does not require a complex feature selection process and achieves end-to-end classification. Additionally, our model is suitable for classifying data combined from multiple brain atlases and has an optional unsupervised pre-training module to acquire optimal initial parameters and speed up the training process. The model's performance was tested on a large-scale multisite dataset and identified brain regions affected by MDD using the Grad-CAM method. After conducting five-fold cross-validation, our model achieved an average classification accuracy of 68.61% on a dataset consisting of 1611 samples. For the selected recurrent MDD dataset, the model reached an average classification accuracy of 78.11%. Abnormalities were detected in the frontal gyri and cerebral cortex of MDD patients in both datasets. Furthermore, the identified brain regions in the recurrent MDD dataset generally exhibited a higher contribution to the model's performance.
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Affiliation(s)
- Peishan Dai
- School of Computer Science and EngineeringCentral South UniversityChangshaChina
| | - Ying Zhou
- School of Computer Science and EngineeringCentral South UniversityChangshaChina
| | - Yun Shi
- School of Computer Science and EngineeringCentral South UniversityChangshaChina
| | - Da Lu
- School of Computer Science and EngineeringCentral South UniversityChangshaChina
| | - Zailiang Chen
- School of Computer Science and EngineeringCentral South UniversityChangshaChina
| | - Beiji Zou
- School of Computer Science and EngineeringCentral South UniversityChangshaChina
| | - Kun Liu
- Brain Hospital of Hunan Province (The Second People's Hospital of Hunan Province)ChangshaChina
| | - Shenghui Liao
- School of Computer Science and EngineeringCentral South UniversityChangshaChina
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7
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Yang Z, Wen J, Erus G, Govindarajan ST, Melhem R, Mamourian E, Cui Y, Srinivasan D, Abdulkadir A, Parmpi P, Wittfeld K, Grabe HJ, Bülow R, Frenzel S, Tosun D, Bilgel M, An Y, Yi D, Marcus DS, LaMontagne P, Benzinger TL, Heckbert SR, Austin TR, Waldstein SR, Evans MK, Zonderman AB, Launer LJ, Sotiras A, Espeland MA, Masters CL, Maruff P, Fripp J, Toga A, O’Bryant S, Chakravarty MM, Villeneuve S, Johnson SC, Morris JC, Albert MS, Yaffe K, Völzke H, Ferrucci L, Bryan NR, Shinohara RT, Fan Y, Habes M, Lalousis PA, Koutsouleris N, Wolk DA, Resnick SM, Shou H, Nasrallah IM, Davatzikos C. Five dominant dimensions of brain aging are identified via deep learning: associations with clinical, lifestyle, and genetic measures. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.29.23300642. [PMID: 38234857 PMCID: PMC10793523 DOI: 10.1101/2023.12.29.23300642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Brain aging is a complex process influenced by various lifestyle, environmental, and genetic factors, as well as by age-related and often co-existing pathologies. MRI and, more recently, AI methods have been instrumental in understanding the neuroanatomical changes that occur during aging in large and diverse populations. However, the multiplicity and mutual overlap of both pathologic processes and affected brain regions make it difficult to precisely characterize the underlying neurodegenerative profile of an individual from an MRI scan. Herein, we leverage a state-of-the art deep representation learning method, Surreal-GAN, and present both methodological advances and extensive experimental results that allow us to elucidate the heterogeneity of brain aging in a large and diverse cohort of 49,482 individuals from 11 studies. Five dominant patterns of neurodegeneration were identified and quantified for each individual by their respective (herein referred to as) R-indices. Significant associations between R-indices and distinct biomedical, lifestyle, and genetic factors provide insights into the etiology of observed variances. Furthermore, baseline R-indices showed predictive value for disease progression and mortality. These five R-indices contribute to MRI-based precision diagnostics, prognostication, and may inform stratification into clinical trials.
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Affiliation(s)
- Zhijian Yang
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Graduate Group in Applied Mathematics and Computational Science, University of Pennsylvania, Philadelphia, PA, USA
| | - Junhao Wen
- Laboratory of AI and Biomedical Science (LABS), Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, USA
| | - Guray Erus
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sindhuja T. Govindarajan
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Randa Melhem
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elizabeth Mamourian
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yuhan Cui
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Dhivya Srinivasan
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ahmed Abdulkadir
- Laboratory for Research in Neuroimaging, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Paraskevi Parmpi
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Germany
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Germany
| | - Robin Bülow
- Institute of Diagnostic Radiology and Neuroradiology, University of Greifswald, Germany
| | - Stefan Frenzel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Germany
| | - Duygu Tosun
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Murat Bilgel
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Dahyun Yi
- Institute of Human Behavioral Medicine, Medical Research Center Seoul National University, Seoul, Republic of Korea
| | - Daniel S. Marcus
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Pamela LaMontagne
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Tammie L.S. Benzinger
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Susan R. Heckbert
- Cardiovascular Health Research Unit and Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Thomas R. Austin
- Cardiovascular Health Research Unit and Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Shari R. Waldstein
- Department of Psychology, University of Maryland, Baltimore County, Catonsville, MD, USA
| | - Michele K. Evans
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA
| | - Alan B. Zonderman
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, NIA/NIH/IRP, Baltimore, MD, USA
| | - Lenore J. Launer
- Neuroepidemiology Section, Intramural Research Program, National Institute on Aging, Bethesda, Maryland, USA
| | - Aristeidis Sotiras
- Department of Radiology and Institute of Informatics, Washington University in St. Luis, St. Luis, MO63110, USA
| | - Mark A. Espeland
- Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Colin L. Masters
- Florey Institute, The University of Melbourne, Parkville, VIC, 3052, Australia
| | - Paul Maruff
- Florey Institute, The University of Melbourne, Parkville, VIC, 3052, Australia
| | - Jurgen Fripp
- CSIRO Health and Biosecurity, Australian e-Health Research Centre CSIRO, Brisbane, Queensland, Australia
| | - Arthur Toga
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, USA
| | - Sid O’Bryant
- Institute for Translational Research University of North Texas Health Science Center Fort Worth Texas USA
| | - Mallar M. Chakravarty
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, McGill University, Verdun, Quebec, Canada
| | - Sylvia Villeneuve
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - John C. Morris
- Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA
| | - Marilyn S. Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kristine Yaffe
- Departments of Neurology, Psychiatry and Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Luigi Ferrucci
- Translational Gerontology Branch, Longitudinal Studies Section, National Institute on Aging, National Institutes of Health, MedStar Harbor Hospital, 3001 S. Hanover Street, Baltimore, MD, USA
| | - Nick R. Bryan
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Russell T. Shinohara
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, & Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Yong Fan
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mohamad Habes
- Biggs Alzheimer’s Institute, University of Texas San Antonio Health Science Center, USA
| | - Paris Alexandros Lalousis
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Nikolaos Koutsouleris
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- Section for Precision Psychiatry, Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
| | - David A. Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Susan M. Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Haochang Shou
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, & Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ilya M. Nasrallah
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Christos Davatzikos
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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8
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Whiston A, Igou ER, Fortune DG, Semkovska M. Longitudinal interactions between residual symptoms and physiological stress in the remitted symptom network structure of depression. Acta Psychol (Amst) 2023; 241:104078. [PMID: 37944268 DOI: 10.1016/j.actpsy.2023.104078] [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: 03/28/2023] [Revised: 10/16/2023] [Accepted: 11/04/2023] [Indexed: 11/12/2023] Open
Abstract
Residual symptoms and stress are amongst the most reliable predictors of relapse in remitted depression. Standard methodologies often preclude continuous stress sampling or the evaluation of complex symptom interactions. This limits knowledge acquisition relative to the day-to-day interactions between residual symptoms and stress. The study aims to explore the interactions between physiological stress and residual symptoms network structure in remitted depression. Twenty-two individuals remitted from depression completed baseline, daily diary (DD), and post-DD assessments. Self-reported stress and residual symptoms were measured at baseline and post-DD. Daily diaries required participants to use a wearable electrodermal activity (EDA) device during waking hours and complete residual symptom measures twice daily for 3-weeks. Two-step multilevel vector auto-regression models were used to estimate contemporaneous and dynamic networks. Depressed mood and concentration problems were central across networks. Skin conductance responses (SCRs), suicide, appetite, and sleep problems were central in the temporal and energy loss in the contemporaneous network. Increased SCRs predicted decreased energy loss. Residual symptoms and stress showed bi-directional interactions. Overall, depressed mood and concentration problems were consistently central, thus potentially important intervention targets. Non-obtrusive bio-signal measures should be used to provide the clinical evidence-base for modelling the interactions between depressive residual symptoms and stress. Practical implications are discussed throughout related to focusing on symptom-specific interactions in clinical practice, simultaneously reducing residual symptom and stress occurrences, EDA as pioneering signal for stress detection, and the central role of specific residual symptoms in remitted depression.
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Affiliation(s)
- Aoife Whiston
- Department of Psychology, University of Limerick, Co., Limerick, Ireland.
| | - Eric R Igou
- Department of Psychology, University of Limerick, Co., Limerick, Ireland
| | - Dònal G Fortune
- Department of Psychology, University of Limerick, Co., Limerick, Ireland
| | - Maria Semkovska
- DeFREE Research Unit, Department of Psychology, University of Southern Denmark, Denmark
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9
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Wu J, Song J, He Y, Li Z, Deng H, Huang Z, Xie X, Wong NML, Tao J, Lee TMC, Chan CCH. Effect of Tai Chi on Young Adults with Subthreshold Depression via a Stress-Reward Complex: A Randomized Controlled Trial. SPORTS MEDICINE - OPEN 2023; 9:90. [PMID: 37768381 PMCID: PMC10539242 DOI: 10.1186/s40798-023-00637-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 09/17/2023] [Indexed: 09/29/2023]
Abstract
BACKGROUND Subthreshold depression is a highly prevalent mood disorder in young adults. Mind-body exercises, such as Tai Chi, have been adopted as interventions for clinical depressive symptoms. However, the possible effect and underlying mechanism of Tai Chi on subthreshold depression of young individuals remain unclear. This randomized controlled study aimed to evaluate the effects of Tai Chi training and tested the combined stress and reward circuitry model for subthreshold depression. RESULTS A total of 103 participants completed this trial, with 49 in the 12-week 24-style Tai Chi group and 54 participants in control group. Our results showed significantly lower scores on depressive symptoms (P = 0.002) and anxiety symptoms (P = 0.009) and higher scores on quality of life (P = 0.002) after Tai Chi training. There were significant reductions in salivary cortisol levels (P = 0.007) and putamen gray matter volume (P < 0.001) in the Tai Chi group. The changes in cortisol levels and putamen gray matter volume had direct (bootstrapping confidence interval [- 0.91, - 0.11]) and indirect effects (bootstrapping confidence interval [- 0.65, - 0.19]) on the changes induced by Tai Chi training on depressive symptoms, respectively. CONCLUSION The stress-reward complex results indicated an interaction between lowering stress levels and increasing reward circuitry activity associated with the alleviation of depressive symptoms among participants. The 12-week Tai Chi training was effective in improving the symptoms and quality of life of young adults with subthreshold depression. Trial Registration Chinese Registry of Clinical Trials (Registration Number: ChiCTR1900028289, Registered December 12, 2019).
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Affiliation(s)
- Jingsong Wu
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
- The Academy of Rehabilitation Industry, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Jian Song
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
- The Academy of Rehabilitation Industry, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Youze He
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
- The Academy of Rehabilitation Industry, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Zhaoying Li
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Haiyin Deng
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Zhenming Huang
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Xiaoting Xie
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Nichol M L Wong
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Rm 656, The Jockey Club Tower, Pokfulam Road, Pokfulam, Hong Kong, People's Republic of China
- Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Pokfulam, Hong Kong, People's Republic of China
| | - Jing Tao
- National-Local Joint Engineering Research Center of Rehabilitation Medicine Technology, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China.
- Fujian Key Laboratory of Rehabilitation Technology, Fujian University of Traditional Chinese Medicine, 1 Huatuo Road, Minhou Shangjie, Fuzhou, 350122, Fujian, People's Republic of China.
| | - Tatia M C Lee
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Rm 656, The Jockey Club Tower, Pokfulam Road, Pokfulam, Hong Kong, People's Republic of China.
- Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Pokfulam, Hong Kong, People's Republic of China.
| | - Chetwyn C H Chan
- Department of Psychology, The Education University of Hong Kong, Tai Po, Hong Kong, People's Republic of China.
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10
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Burrows M, Kotoula V, Dipasquale O, Stringaris A, Mehta MA. Ketamine-induced changes in resting state connectivity, 2 h after the drug administration in patients with remitted depression. J Psychopharmacol 2023; 37:784-794. [PMID: 37491833 DOI: 10.1177/02698811231189432] [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] [Indexed: 07/27/2023]
Abstract
BACKGROUND Resting state connectivity studies link ketamine's antidepressant effects with normalisation of the brain connectivity changes that are observed in depression. These changes, however, usually co-occur with improvement in depressive symptoms, making it difficult to attribute these changes to ketamine's effects per se. AIMS Our aim is to examine the effects of ketamine in brain connectivity, 2 h after its administration in a cohort of volunteers with remitted depression. Any significant changes observed in this study could provide insight of ketamine's antidepressant mechanism as they are not accompanied by symptom changes. METHODS In total, 35 participants with remitted depression (21 females, mean age = 28.5 years) participated in a double-blind, placebo-controlled study of ketamine (0.5 mg/kg) or saline. Resting state scans were acquired approximately 2 h after the ketamine infusion. Brain connectivity was examined using a seed-based approach (ventral striatum, amygdala, hippocampus, posterior cingulate cortex and subgenual anterior cingulate cortex (sgACC)) and a brain network analysis (independent component analysis). RESULTS Decreased connectivity between the sgACC and the amygdala was observed approximately 2 h after the ketamine infusion, compared to placebo (pFWE < 0.05). The executive network presented with altered connectivity with different cortical and subcortical regions. Within the network, the left hippocampus and right amygdala had decreased connectivity (pFWE < 0.05). CONCLUSIONS Our findings support a model whereby ketamine would change the connectivity of brain areas and networks that are important for cognitive processing and emotional regulation. These changes could also be an indirect indicator of the plasticity changes induced by the drug.
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Affiliation(s)
- Matthew Burrows
- Centre for Neuroimaging Sciences, IoPPN, King's College London, London, UK
| | - Vasileia Kotoula
- Experimental Therapeutics and Pathophysiology Branch, NIMH, Bethesda, MA, USA
| | - Ottavia Dipasquale
- Centre for Neuroimaging Sciences, IoPPN, King's College London, London, UK
| | - Argyris Stringaris
- Division of Psychiatry and Department of Clinical, Educational & Health Psychology, UCL, London, UK
- First Department of Psychiatry, National and Kapodistrian University of Athens, Athens, Greece
| | - Mitul A Mehta
- Centre for Neuroimaging Sciences, IoPPN, King's College London, London, UK
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11
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Hanuka S, Olson EA, Admon R, Webb CA, Killgore WDS, Rauch SL, Rosso IM, Pizzagalli DA. Reduced anhedonia following internet-based cognitive-behavioral therapy for depression is mediated by enhanced reward circuit activation. Psychol Med 2023; 53:4345-4354. [PMID: 35713110 DOI: 10.1017/s0033291722001106] [Citation(s) in RCA: 2] [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] [Indexed: 11/06/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) is a highly prevalent psychiatric condition, yet many patients do not receive adequate treatment. Novel and highly scalable interventions such as internet-based cognitive-behavioral-therapy (iCBT) may help to address this treatment gap. Anhedonia, a hallmark symptom of MDD that refers to diminished interest and ability to experience pleasure, has been associated with reduced reactivity in a neural reward circuit that includes medial prefrontal and striatal brain regions. Whether iCBT can reduce anhedonia severity in MDD patients, and whether these therapeutic effects are accompanied by enhanced reward circuit reactivity has yet to be examined. METHODS Fifty-two MDD patients were randomly assigned to either 10-week iCBT (n = 26) or monitored attention control (MAC, n = 26) programs. All patients completed pre- and post-treatment assessments of anhedonia (Snaith-Hamilton Pleasure Scale; SHAPS) and reward circuit reactivity [monetary incentive delay (MID) task during functional magnetic resonance imaging (fMRI)]. Healthy control participants (n = 42) also underwent two fMRI scans while completing the MID task 10 weeks apart. RESULTS Both iCBT and MAC groups exhibited a reduction in anhedonia severity post-treatment. Nevertheless, only the iCBT group exhibited enhanced nucleus accumbens (Nacc) and subgenual anterior cingulate cortex (sgACC) activation and functional connectivity from pre- to post-treatment in response to reward feedback. Enhanced Nacc and sgACC activations were associated with reduced anhedonia severity following iCBT treatment, with enhanced Nacc activation also mediating the reduction in anhedonia severity post-treatment. CONCLUSIONS These findings suggest that increased reward circuit reactivity may contribute to a reduction in anhedonia severity following iCBT treatment for depression.
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Affiliation(s)
- Shir Hanuka
- School of Psychological Sciences, University of Haifa, Haifa, Israel
| | - Elizabeth A Olson
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Roee Admon
- School of Psychological Sciences, University of Haifa, Haifa, Israel
- The Integrated Brain and Behavior Research Center (IBBRC), University of Haifa, Haifa, Israel
| | - Christian A Webb
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | | | - Scott L Rauch
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Isabelle M Rosso
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Diego A Pizzagalli
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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12
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Szymkowicz SM, Gerlach AR, Homiack D, Taylor WD. Biological factors influencing depression in later life: role of aging processes and treatment implications. Transl Psychiatry 2023; 13:160. [PMID: 37160884 PMCID: PMC10169845 DOI: 10.1038/s41398-023-02464-9] [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: 11/24/2022] [Revised: 04/23/2023] [Accepted: 04/27/2023] [Indexed: 05/11/2023] Open
Abstract
Late-life depression occurring in older adults is common, recurrent, and malignant. It is characterized by affective symptoms, but also cognitive decline, medical comorbidity, and physical disability. This behavioral and cognitive presentation results from altered function of discrete functional brain networks and circuits. A wide range of factors across the lifespan contributes to fragility and vulnerability of those networks to dysfunction. In many cases, these factors occur earlier in life and contribute to adolescent or earlier adulthood depressive episodes, where the onset was related to adverse childhood events, maladaptive personality traits, reproductive events, or other factors. Other individuals exhibit a later-life onset characterized by medical comorbidity, pro-inflammatory processes, cerebrovascular disease, or developing neurodegenerative processes. These later-life processes may not only lead to vulnerability to the affective symptoms, but also contribute to the comorbid cognitive and physical symptoms. Importantly, repeated depressive episodes themselves may accelerate the aging process by shifting allostatic processes to dysfunctional states and increasing allostatic load through the hypothalamic-pituitary-adrenal axis and inflammatory processes. Over time, this may accelerate the path of biological aging, leading to greater brain atrophy, cognitive decline, and the development of physical decline and frailty. It is unclear whether successful treatment of depression and avoidance of recurrent episodes would shift biological aging processes back towards a more normative trajectory. However, current antidepressant treatments exhibit good efficacy for older adults, including pharmacotherapy, neuromodulation, and psychotherapy, with recent work in these areas providing new guidance on optimal treatment approaches. Moreover, there is a host of nonpharmacological treatment approaches being examined that take advantage of resiliency factors and decrease vulnerability to depression. Thus, while late-life depression is a recurrent yet highly heterogeneous disorder, better phenotypic characterization provides opportunities to better utilize a range of nonspecific and targeted interventions that can promote recovery, resilience, and maintenance of remission.
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Affiliation(s)
- Sarah M Szymkowicz
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Andrew R Gerlach
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Damek Homiack
- Department of Psychiatry, University of Illinois-Chicago, Chicago, IL, USA
| | - Warren D Taylor
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Science, Vanderbilt University Medical Center, Nashville, TN, USA.
- Geriatric Research, Education, and Clinical Center, Veterans Affairs Tennessee Valley Health System, Nashville, TN, USA.
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13
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Wang Z, Zou Z, Xiao J, Wang P, Luo Y, Min W, He Y, Yuan C, Su Y, Yang C, Chang F, Zhu H. Task-related neural activation abnormalities in patients with remitted major depressive disorder: A coordinate-based meta-analysis. Neurosci Biobehav Rev 2022; 143:104929. [DOI: 10.1016/j.neubiorev.2022.104929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 10/14/2022] [Accepted: 10/25/2022] [Indexed: 11/06/2022]
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14
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Sun J, Du Z, Ma Y, Guo C, Gao S, Luo Y, Chen Q, Hong Y, Xiao X, Yu X, Fang J. Characterization of Resting-State Striatal Differences in First-Episode Depression and Recurrent Depression. Brain Sci 2022; 12:brainsci12121603. [PMID: 36552063 PMCID: PMC9776048 DOI: 10.3390/brainsci12121603] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 11/19/2022] [Accepted: 11/19/2022] [Indexed: 11/24/2022] Open
Abstract
The presence of reward deficits in major depressive disorder is associated with abnormal striatal function. However, differences in striatal whole-brain functional between recurrent depressive episode (RDE) and first-episode depression (FDE) have not been elucidated. Thirty-three patients with RDE, 27 with FDE, and 35 healthy controls (HCs) were recruited for this study. A seed-based functional connectivity (FC) method was used to analyze abnormalities in six predefined striatal subregion circuits among the three groups of subjects and to further explore the correlation between abnormal FC and clinical symptoms. The results revealed that compared with the FDE group, the RDE group showed higher FC of the striatal subregion with the left middle occipital gyrus, left orbital area of the middle frontal gyrus, and bilateral posterior cerebellar gyrus, while showing lower FC of the striatal subregion with the right thalamus, left inferior parietal lobule, left middle cingulate gyrus, right angular gyrus, right cerebellum anterior lobe, and right caudate nucleus. In the RDE group, the HAMD-17 scores were positively correlated with the FC between the left dorsal rostral putamen and the left cerebellum posterior lobe. This study provides new insights into understanding the specificity of striatal circuits in the RDE group.
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Affiliation(s)
- Jifei Sun
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Zhongming Du
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China
| | - Yue Ma
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Chunlei Guo
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Shanshan Gao
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Yi Luo
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Qingyan Chen
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Yang Hong
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Xue Xiao
- Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing 100026, China
| | - Xue Yu
- Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing 100026, China
| | - Jiliang Fang
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
- Correspondence: ; Tel.: +86-010-88001493
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15
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Decreased reward circuit connectivity during reward anticipation in major depression. Neuroimage Clin 2022; 36:103226. [PMID: 36257119 PMCID: PMC9668633 DOI: 10.1016/j.nicl.2022.103226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 09/21/2022] [Accepted: 10/08/2022] [Indexed: 11/11/2022]
Abstract
An important symptom of major depressive disorder (MDD) is the inability to experience pleasure, possibly due to a dysfunction of the reward system. Despite promising insights regarding impaired reward-related processing in MDD, circuit-level abnormalities remain largely unexplored. Furthermore, whereas studies contrasting experimental conditions from incentive tasks have revealed important information about reward processing, temporal difference modeling of reward-related prediction error (PE) signals might give a more accurate representation of the reward system. We used a monetary incentive delay task during functional MRI scanning to explore PE-related striatal and ventral tegmental area (VTA) activation in response to anticipation and delivery of monetary rewards in 24 individuals with MDD versus 24 healthy controls (HCs). Furthermore, we investigated group differences in temporal difference related connectivity with a generalized psychophysiological interaction (gPPI) analysis with the VTA, ventral striatum (VS) and dorsal striatum (DS) as seeds during reward versus neutral, both in anticipation and delivery. Relative to HCs, MDD patients displayed a trend-level (p = 0.052) decrease in temporal difference-related activation in the VS during reward anticipation and delivery combined. Moreover, gPPI analyses revealed that during reward anticipation, MDD patients exhibited decreased functional connectivity between the VS and anterior cingulate cortex / medial prefrontal cortex, anterior cingulate gyrus, angular/middle orbital gyrus, left insula, superior/middle frontal gyrus (SFG/MFG) and precuneus/superior occipital gyrus/cerebellum compared to HC. Moreover, MDD patients showed decreased functional connectivity between the VTA and left insula compared to HC during reward anticipation. Exploratory analysis separating medication free patients from patients using antidepressant revealed that these decreased functional connectivity patterns were mainly apparent in the MDD group that used antidepressants. These results suggest that MDD is characterized by alterations in reward circuit connectivity rather than isolated activation impairments. These findings represent an important extension of the existing literature since improved understanding of neural pathways underlying depression-related reward dysfunctions, may help currently unmet diagnostic and therapeutic efforts.
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16
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Troshev D, Bannikova A, Blokhin V, Kolacheva A, Pronina T, Ugrumov M. Striatal Neurons Partially Expressing a Dopaminergic Phenotype: Functional Significance and Regulation. Int J Mol Sci 2022; 23:ijms231911054. [PMID: 36232359 PMCID: PMC9570204 DOI: 10.3390/ijms231911054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/16/2022] [Accepted: 09/19/2022] [Indexed: 11/30/2022] Open
Abstract
Since the discovery of striatal neurons expressing dopamine-synthesizing enzymes, researchers have attempted to identify their phenotype and functional significance. In this study, it was shown that in transgenic mice expressing green fluorescent protein (GFP) under the tyrosine hydroxylase (TH) gene promoter, (i) there are striatal neurons expressing only TH, only aromatic L-amino acid decarboxylase (AADC), or both enzymes of dopamine synthesis; (ii) striatal neurons expressing dopamine-synthesizing enzymes are not dopaminergic since they lack a dopamine transporter; (iii) monoenzymatic neurons expressing individual complementary dopamine-synthesizing enzymes produce this neurotransmitter in cooperation; (iv) striatal nerve fibers containing only TH, only AADC, or both enzymes project into the lateral ventricles, providing delivery pathways for L-3,4-dihydroxyphenylalanine and dopamine to the cerebrospinal fluid; and (v) striatal GFP neurons express receptor genes for various signaling molecules, i.e., classical neurotransmitters, neuropeptides, and steroids, indicating fine regulation of these neurons. Based on our data, it is assumed that the synthesis of dopamine by striatal neurons is a compensatory response to the death of nigral dopaminergic neurons in Parkinson’s disease, which opens broad prospects for the development of a fundamentally novel antiparkinsonian therapy.
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17
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Daood M, Peled-Avron L, Ben-Hayun R, Nevat M, Aharon-Peretz J, Tomer R, Admon R. Fronto-striatal connectivity patterns account for the impact of methylphenidate on choice impulsivity among healthy adults. Neuropharmacology 2022; 216:109190. [PMID: 35835210 DOI: 10.1016/j.neuropharm.2022.109190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 06/06/2022] [Accepted: 07/07/2022] [Indexed: 10/17/2022]
Abstract
Choice impulsivity depicts a preference towards smaller-sooner rewards over larger-delayed rewards, and is often assessed using a delay discounting (DD) task. Previous research uncovered the prominent role of dopaminergic signaling within fronto-striatal circuits in mediating choice impulsivity. Administration of methylphenidate (MPH), an indirect dopaminergic agonist, was shown to reduce choice impulsivity in animals and pathological populations, although significant inter-individual variability in these effects was reported. Whether MPH impacts choice impulsivity among healthy individuals, and whether variability in the impact of MPH is related to fronto-striatal activation and connectivity patterns, has yet to be assessed. Here, fifty-seven healthy young adults completed the DD task twice during fMRI scans, after acute administration of either MPH (20 mg) or placebo, in a randomized double-blind placebo-controlled design. Acute MPH administration was found to reduce choice impulsivity at the group level, yet substantial variability in this behavioral response was observed. MPH was also found to increase activation in the bilateral putamen and the right caudate, and to enhance functional connectivity between the left putamen and medial prefrontal cortex (mPFC), particularly during non-impulsive choices. Notably, the more putamen-mPFC functional connectivity increased during non-impulsive choices following MPH administration, the less an individual was likely to make impulsive choices. These findings reveal, for the first time in healthy adults, that acute MPH administration is associated with reduced choice impulsivity and increased striatal activation and fronto-striatal connectivity; and furthermore, that the magnitude of MPH-induced change in fronto-striatal connectivity may account for individual differences in the impact of MPH on impulsive behavior.
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Affiliation(s)
- Maryana Daood
- School of Psychological Sciences, University of Haifa, Haifa, Israel
| | - Leehe Peled-Avron
- School of Psychological Sciences, University of Haifa, Haifa, Israel
| | - Rachel Ben-Hayun
- The Cognitive Neurology Institute, Rambam Health Care Campus, Haifa, Israel
| | - Michael Nevat
- School of Psychological Sciences, University of Haifa, Haifa, Israel
| | | | - Rachel Tomer
- School of Psychological Sciences, University of Haifa, Haifa, Israel; The Integrated Brain and Behavior Research Center (IBBRC), University of Haifa, Haifa, Israel
| | - Roee Admon
- School of Psychological Sciences, University of Haifa, Haifa, Israel; The Integrated Brain and Behavior Research Center (IBBRC), University of Haifa, Haifa, Israel.
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18
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Kühnel A, Czisch M, Sämann PG, Binder EB, Kroemer NB. Spatiotemporal Dynamics of Stress-Induced Network Reconfigurations Reflect Negative Affectivity. Biol Psychiatry 2022; 92:158-169. [PMID: 35260225 DOI: 10.1016/j.biopsych.2022.01.008] [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: 07/30/2021] [Revised: 01/09/2022] [Accepted: 01/13/2022] [Indexed: 02/08/2023]
Abstract
BACKGROUND Maladaptive stress responses are important risk factors in the etiology of mood and anxiety disorders, but exact pathomechanisms remain to be understood. Mapping individual differences of acute stress-induced neurophysiological changes, especially on the level of neural activation and functional connectivity (FC), could provide important insights in how variation in the individual stress response is linked to disease risk. METHODS Using an established psychosocial stress task flanked by two resting states, we measured subjective, physiological, and brain responses to acute stress and recovery in 217 participants with and without mood and anxiety disorders. To estimate blockwise changes in stress-induced activation and FC, we used hierarchical mixed-effects models based on denoised time series within predefined stress-related regions. We predicted inter- and intraindividual differences in stress phases (anticipation vs. stress vs. recovery) and transdiagnostic dimensions of stress reactivity using elastic net and support vector machines. RESULTS We identified four subnetworks showing distinct changes in FC over time. FC but not activation trajectories predicted the stress phase (accuracy = 70%, pperm < .001) and increases in heart rate (R2 = 0.075, pperm < .001). Critically, individual spatiotemporal trajectories of changes across networks also predicted negative affectivity (ΔR2 = 0.075, pperm = .030) but not the presence or absence of a mood and anxiety disorder. CONCLUSIONS Spatiotemporal dynamics of brain network reconfiguration induced by stress reflect individual differences in the psychopathology dimension of negative affectivity. These results support the idea that vulnerability for mood and anxiety disorders can be conceptualized best at the level of network dynamics, which may pave the way for improved prediction of individual risk.
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Affiliation(s)
- Anne Kühnel
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany; International Max Planck Research School for Translational Psychiatry, Munich, Germany.
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- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Elisabeth B Binder
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.
| | - Nils B Kroemer
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany
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19
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Xu H, Zhang M, Wang Y. Shape deformations of the basal ganglia in patients with classical trigeminal neuralgia: a cross-sectional evaluation. Neurol Sci 2022; 43:5007-5015. [PMID: 35471744 DOI: 10.1007/s10072-022-06091-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 04/19/2022] [Indexed: 01/11/2023]
Abstract
INTRODUCTION Despite the involvement of subcortical brain structures in the pathogenesis of classic trigeminal neuralgia (CTN), the details of morphological abnormalities of basal ganglia to this disorder are still unknown. This study aimed to investigate potential changes in terms of volume and shape of subcortical regions in patients with CTN. METHODS Forty-eight patients with CTN and 46 matched healthy subjects were recruited in the study. The whole-brain T1 anatomical data was acquired at a 3.0 Tesla scanner using a fast spoiled gradient recalled sequence (FSPGR). Vertex-wise analysis was applied to detect the alterations of volume and shape in each subcortical region in the patients with CTN compared to healthy controls. The relationships of morphological abnormalities in subcortical structures to the severity of orofacial pain and the affective disturbance in the patient group were examined using the multiple linear regression model. RESULTS No group difference was found about volumetric measurement in any of the subcortical regions. Vertex-wise analysis revealed areas of significant shape atrophy in bilateral putamen and bilateral pallidum in the patients with CTN compared to healthy controls. Besides, the patient group exhibited shape expansion in the head of the right caudate nucleus compared to healthy subjects. In addition, shape deformation in the head of the right caudate nucleus was positively associated with VAS score in CTN. CONCLUSION The patients with CTN display shape alterations in the specific subregions of basal ganglia, which may contribute to the pathophysiology of this refractory disorder and may be useful for translational medicine.
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Affiliation(s)
- Hui Xu
- Department of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China
| | - Ming Zhang
- Department of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China
| | - Yuan Wang
- Department of Medical Imaging, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
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20
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Dong D, Belleau EL, Ironside M, Zhong X, Sun X, Xiong G, Cheng C, Li C, Wang X, Yao S, Pizzagalli DA. Distinct stress-related medial prefrontal cortex activation in women with depression with and without childhood maltreatment. Depress Anxiety 2022; 39:296-306. [PMID: 35072959 PMCID: PMC9063172 DOI: 10.1002/da.23243] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Revised: 01/04/2022] [Accepted: 01/14/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Emerging evidence has highlighted the moderating effect of childhood maltreatment (CM) in shaping neurobiological abnormalities in major depressive disorder (MDD). However, whether neural mechanisms underlying stress sensitivity in MDD are affected by the history of CM is unclear. METHODS Two hundred and thirteen medication-free female participants were recruited for a functional magnetic resonance imaging study assessing the effects of psychosocial stress on neural responses. The Montreal Imaging Stress Task was administrated to 44 female MDD patients with CM (MDD/CM), 32 female MDD patients without CM (MDD/noCM), 43 female healthy controls (HCs) with CM (HC/CM), and 94 female HCs without CM (HC/noCM). A CM (CM, noCM) × diagnosis (MDD, HC) whole-brain voxel-wise analysis was run to assess putative group differences in neural stress responses. RESULTS A significant CM × Diagnosis interaction emerged in the medial prefrontal cortex (mPFC). Bonferroni-corrected simple effects analysis clarified that (1) the MDD/CM group had less mPFC deactivation than the HC/CM group, (2) the MDD/noCM group exhibited greater mPFC deactivation than the HC/noCM group, and (3) the MDD/CM group exhibited less mPFC deactivation relative to the MDD/noCM group. In addition, the mPFC-seed psychophysiological interaction analysis revealed that individuals in the CM groups had significantly greater stress-related mPFC-left superior frontal gyrus and mPFC-right posterior cerebellum connectivity relative to the noCM groups. CONCLUSIONS Findings highlight distinct neural abnormalities in MDD depending on prior CM history, particularly potentiated stress-related mPFC recruitment among MDD individuals reporting CM. Moreover, CM history was generally associated with the disruption in functional connectivity centered on the mPFC.
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Affiliation(s)
- Daifeng Dong
- Medical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, P.R. China,China National Clinical Research Center for Mental Disorders (Xiangya), Changsha, Hunan, P.R. China,McLean Hospital, Belmont, MA, USA
| | - Emily L. Belleau
- McLean Hospital, Belmont, MA, USA,Harvard Medical School, Boston, MA, USA
| | - Maria Ironside
- McLean Hospital, Belmont, MA, USA,Harvard Medical School, Boston, MA, USA,Laureate Institute for Brain Research, Tulsa, OK, USA
| | - Xue Zhong
- Medical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, P.R. China,China National Clinical Research Center for Mental Disorders (Xiangya), Changsha, Hunan, P.R. China
| | - Xiaoqiang Sun
- Medical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, P.R. China,China National Clinical Research Center for Mental Disorders (Xiangya), Changsha, Hunan, P.R. China
| | - Ge Xiong
- Medical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, P.R. China,China National Clinical Research Center for Mental Disorders (Xiangya), Changsha, Hunan, P.R. China
| | - Chang Cheng
- Medical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, P.R. China,China National Clinical Research Center for Mental Disorders (Xiangya), Changsha, Hunan, P.R. China
| | - Chuting Li
- Medical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, P.R. China,China National Clinical Research Center for Mental Disorders (Xiangya), Changsha, Hunan, P.R. China
| | - Xiang Wang
- Medical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, P.R. China,China National Clinical Research Center for Mental Disorders (Xiangya), Changsha, Hunan, P.R. China
| | - Shuqiao Yao
- Medical Psychological Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, P.R. China,China National Clinical Research Center for Mental Disorders (Xiangya), Changsha, Hunan, P.R. China,Co-corresponding author: Diego A. Pizzagalli, Ph.D. Shuqiao Yao, M.D., Ph.D., McLean Hospital Medical Psychological Institute of Central, 115 Mill St South University, Belmont, MA 02478 139 Middle Renmin Road, Office phone: +1-617-855-4230 Changsha, Hunan 410011, Office phone: 86 731 85292126,
| | - Diego A. Pizzagalli
- McLean Hospital, Belmont, MA, USA,Harvard Medical School, Boston, MA, USA,Co-corresponding author: Diego A. Pizzagalli, Ph.D. Shuqiao Yao, M.D., Ph.D., McLean Hospital Medical Psychological Institute of Central, 115 Mill St South University, Belmont, MA 02478 139 Middle Renmin Road, Office phone: +1-617-855-4230 Changsha, Hunan 410011, Office phone: 86 731 85292126,
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21
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Sex-specific neural responses to acute psychosocial stress in depression. Transl Psychiatry 2022; 12:2. [PMID: 35013110 PMCID: PMC8748634 DOI: 10.1038/s41398-021-01768-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 11/19/2021] [Accepted: 11/30/2021] [Indexed: 11/09/2022] Open
Abstract
Major Depressive Disorder (MDD) is characterized by increased stress sensitivity. Emerging findings in healthy adults suggest that stress responses within limbic/striatal-prefrontal regions are moderated by sex and unfold over time. Thus, we hypothesized that stress response abnormalities in MDD might be affected by sex and stress exposure time. The Montreal Imaging Stress Task was administered to 124 unmedicated patients with first-episode MDD (76 females) and 243 healthy controls (HC; 137 females) during functional magnetic resonance imaging (fMRI). Based on prior studies, amygdala, hippocampus, medial orbitofrontal cortex (mOFC), nucleus accumbens (NAc) and dorsolateral prefrontal cortex (dlPFC) were selected as a priori regions of interest. In a complementary approach, we probed the effects of stress on the frontoparietal network (FPN) and a network including the amygdala, NAc and anterior cingulate cortex (ACC). Across groups, males exhibited higher dlPFC activity and right FPN amplitude than females. Relative to female HCs, the female MDD group had less deactivation in limbic/striatal regions (amygdala, NAc, hippocampus, Amygdala-NAc-ACC network). Furthermore, unlike female HCs, the female MDD group failed to show a significant increase of deactivation over stress exposure time in the amygdala, mOFC and NAc. Our findings confirm the importance of considering sex differences when investigating neural stress responses. Case-control differences in neural stress responses observed in females (but not males) provide insights into sex differences in the etiology and pathophysiology of depression. The failure to deactivate limbic/NAc regions in depressed females point to dysfunction of adaptive stress responses over stress exposure time.
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22
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Ironside M, Moser AD, Holsen LM, Zuo CS, Du F, Perlo S, Richards CE, Duda JM, Chen X, Nickerson LD, Null KE, Nascimento N, Crowley DJ, Misra M, Goldstein JM, Pizzagalli DA. Reductions in rostral anterior cingulate GABA are associated with stress circuitry in females with major depression: a multimodal imaging investigation. Neuropsychopharmacology 2021; 46:2188-2196. [PMID: 34363015 PMCID: PMC8505659 DOI: 10.1038/s41386-021-01127-x] [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: 04/07/2021] [Revised: 07/19/2021] [Accepted: 07/20/2021] [Indexed: 02/07/2023]
Abstract
The interplay between cortical and limbic regions in stress circuitry calls for a neural systems approach to investigations of acute stress responses in major depressive disorder (MDD). Advances in multimodal imaging allow inferences between regional neurotransmitter function and activation in circuits linked to MDD, which could inform treatment development. The current study investigated the role of the inhibitory neurotransmitter GABA in stress circuitry in females with current and remitted MDD. Multimodal imaging data were analyzed from 49 young female adults across three groups (current MDD, remitted MDD (rMDD), and healthy controls). GABA was assessed at baseline using magnetic resonance spectroscopy, and functional MRI data were collected before, during, and after an acute stressor and analyzed using a network modeling approach. The MDD group showed an overall lower cortisol response than the rMDD group and lower rostral anterior cingulate cortex (ACC) GABA than healthy controls. Across groups, stress decreased activation in the frontoparietal network (FPN) but increased activation in the default mode network (DMN) and a network encompassing the ventromedial prefrontal cortex-striatum-anterior cingulate cortex (vmPFC-Str-ACC). Relative to controls, the MDD and rMDD groups were characterized by decreased FPN and salience network (SN) activation overall. Rostral ACC GABA was positively associated with connectivity between an overlapping limbic network (Temporal-Insula-Amygdala) and two other circuits (FPN and DMN). Collectively, these findings indicate that reduced GABA in females with MDD was associated with connectivity differences within and across key networks implicated in depression. GABAergic treatments for MDD might alleviate stress circuitry abnormalities in females.
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Affiliation(s)
- Maria Ironside
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - Amelia D Moser
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
- University of Colorado Boulder, Boulder, CO, USA
| | - Laura M Holsen
- Harvard Medical School, Boston, MA, USA
- Divison of Women's Health, Department of Medicine, Brigham & Women's Hospital, Boston, MA, USA
- Department of Psychiatry, Brigham & Women's Hospital, Boston, MA, USA
| | - Chun S Zuo
- Harvard Medical School, Boston, MA, USA
- McLean Imaging Center, McLean Hospital, Belmont, MA, USA
| | - Fei Du
- Harvard Medical School, Boston, MA, USA
- McLean Imaging Center, McLean Hospital, Belmont, MA, USA
- Schizophrenia and Bipolar Research Program, McLean Hospital, Belmont, MA, USA
| | - Sarah Perlo
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Christine E Richards
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Jessica M Duda
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Xi Chen
- Harvard Medical School, Boston, MA, USA
- McLean Imaging Center, McLean Hospital, Belmont, MA, USA
- Schizophrenia and Bipolar Research Program, McLean Hospital, Belmont, MA, USA
| | - Lisa D Nickerson
- Harvard Medical School, Boston, MA, USA
- McLean Imaging Center, McLean Hospital, Belmont, MA, USA
| | - Kaylee E Null
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Nara Nascimento
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - David J Crowley
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Madhusmita Misra
- Harvard Medical School, Boston, MA, USA
- Division of Pediatric Endocrinology, Massachusetts General Hospital, Boston, MA, USA
| | - Jill M Goldstein
- Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA
| | - Diego A Pizzagalli
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- McLean Imaging Center, McLean Hospital, Belmont, MA, USA.
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23
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Cai X, Yang C, Chen J, Gong W, Yi F, Liao W, Huang R, Xie L, Zhou J. Proteomic Insights Into Susceptibility and Resistance to Chronic-Stress-Induced Depression or Anxiety in the Rat Striatum. Front Mol Biosci 2021; 8:730473. [PMID: 34676246 PMCID: PMC8523913 DOI: 10.3389/fmolb.2021.730473] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 08/27/2021] [Indexed: 11/13/2022] Open
Abstract
Chronic stress is a key factor for the onset of anxiety and depression disorders. However, the stress-induced common and unique molecular basis of the two psychiatric disorders is not fully known and still needs to be explored. Previously, we employed a chronic mild stress (CMS) procedure to induce a rat model including depression-susceptible (Dep-Sus), anxiety-susceptible (Anx-Sus), and insusceptible (Insus) cohorts. In this work, we continuously analyze the striatal proteomes of the three stressed cohorts by the use of comparative proteomics and bioinformatics approaches. Through isobaric tags for relative and absolute quantitation (iTRAQ)-based analysis, 386 abnormally expressed proteins in total were identified. These deregulated proteins are involved in various biological functions and significant pathways that are potentially connected with resistance and susceptibility to CMS-caused anxious- or depressive-like behaviors and, hence, could act as suggestive protein targets. A further parallel reaction monitoring-based independent investigation shows that alterations in Pak5, Dgkg, Scn4b, Rb1cc1, and Acin1; Ggps1, Fntb, Nudt19, Ufd1, and Ndufab1; and Dnajb12, Hbb2, Ap2s1, Ip6k1, and Stk4 were specifically connected with Dep-Sus, Anx-Sus, or Insus groups, respectively, potentially indicating that identical CMS treatment results in the different changes in the striatal protein regulations. Overall, our current proteomics study of the striatum provides an important molecular foundation and comprehensive insights into common and specific deregulations correlated with pathophysiological mechanisms that underlie resistance and susceptibility to chronic stress-induced anxiety or depression.
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Affiliation(s)
- Xiao Cai
- Basic Medical College, Institute of Neuroscience, Chongqing Medical University, Chongqing, China
| | - Chen Yang
- Basic Medical College, Institute of Neuroscience, Chongqing Medical University, Chongqing, China
| | - Jin Chen
- Basic Medical College, Institute of Neuroscience, Chongqing Medical University, Chongqing, China.,Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Weibo Gong
- Basic Medical College, Institute of Neuroscience, Chongqing Medical University, Chongqing, China
| | - Faping Yi
- Basic Medical College, Institute of Neuroscience, Chongqing Medical University, Chongqing, China
| | - Wei Liao
- Basic Medical College, Institute of Neuroscience, Chongqing Medical University, Chongqing, China
| | - Rongzhong Huang
- Statistics Laboratory, ChuangXu Institute of Life Science, Chongqing, China.,Chongqing Institute of Life Science, Chongqing, China
| | - Liang Xie
- Basic Medical College, Institute of Neuroscience, Chongqing Medical University, Chongqing, China.,Department of Neurology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jian Zhou
- Basic Medical College, Institute of Neuroscience, Chongqing Medical University, Chongqing, China
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24
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Rivera-Bonet CN, Birn RM, Ladd CO, Meyerand ME, Abercrombie HC. Cortisol effects on brain functional connectivity during emotion processing in women with depression. J Affect Disord 2021; 287:247-254. [PMID: 33799044 PMCID: PMC8128282 DOI: 10.1016/j.jad.2021.03.034] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 03/10/2021] [Accepted: 03/15/2021] [Indexed: 01/30/2023]
Abstract
BACKGROUND Depression is associated with altered functional connectivity and altered cortisol sensitivity, but the effects of cortisol on functional connectivity in depression are unknown. Previous research shows that brief cortisol augmentation (CORT) has beneficial neurocognitive effects in depression. METHODS We investigated the effects of CORT (20mg oral cortisol) on functional connectivity during emotion processing in women with depression. Participants included 75 women with no depression or a depressive disorder. In a double-blind, crossover study, we used functional magnetic resonance imaging to measure effects of CORT vs. placebo on task-based functional connectivity during presentation of emotionally-laden images. We performed psychophysiological interaction (PPI) to test interactions among depression severity, cortisol administration, and task-dependent functional connectivity using the hippocampus and amygdala as seeds. RESULTS During the presentation of negative images, CORT (vs. placebo) increased functional connectivity between the hippocampus and putamen in association with depression severity. During the presentation of positive pictures CORT increased functional connectivity between the hippocampus and middle frontal gyrus as well as superior temporal gyrus in association with depression. LIMITATIONS Because cortisol was pharmacologically manipulated, results cannot be extrapolated to endogenous increases in cortisol levels. The sample did not permit investigation of differences due to race, ethnicity, or sex. Co-morbidities such as anxiety or PTSD were not accounted for. CONCLUSIONS The results suggest that CORT has normalizing effects on task-dependent functional connectivity in women with depression during emotion processing. Increasing cortisol availability or signaling may have therapeutic benefits within affective disorders.
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Affiliation(s)
| | - Rasmus M Birn
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, United States; Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, United States; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States
| | - Charlotte O Ladd
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, United States
| | - Mary E Meyerand
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, United States; Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States
| | - Heather C Abercrombie
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI, United States
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25
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Lai CH. Task MRI-Based Functional Brain Network of Major Depression. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1305:19-33. [PMID: 33834392 DOI: 10.1007/978-981-33-6044-0_2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
This chapter will focus on task magnetic resonance imaging (MRI) to understand the biological mechanisms and pathophysiology of brain in major depressive disorder (MDD), which would have minor alterations in the brain function. Therefore, the functional study, such as task MRI functional connectivity, would play a crucial role to explore the brain function in MDD. Different kinds of tasks would determine the alterations in functional connectivity in task MRI studies of MDD. The emotion-related tasks are linked with alterations in anterior cingulate cortex, insula, and default mode network. The emotional memory task is linked with amygdala-hippocampus alterations. The reward-related task would be related to the reward circuit alterations, such as fronto-straital. The cognitive-related tasks would be associated with frontal-related functional connectivity alterations, such as the dorsolateral prefrontal cortex, anterior cingulate cortex, and other frontal regions. The visuo-sensory characteristics of tasks might be associated with the parieto-occipital alterations. The frontolimbic regions might be major components of task MRI-based functional connectivity in MDD. However, different scenarios and tasks would influence the representations of results.
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Affiliation(s)
- Chien-Han Lai
- Psychiatry & Neuroscience Clinic, Taoyuan, Taiwan. .,Institute of Biophotonics, National Yang-Ming University, Taipei, Taiwan.
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26
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Li Q, Yan J, Liao J, Zhang X, Liu L, Fu X, Tan HY, Zhang D, Yan H. Distinct Effects of Social Stress on Working Memory in Obsessive-Compulsive Disorder. Neurosci Bull 2020; 37:81-93. [PMID: 33000423 PMCID: PMC7811969 DOI: 10.1007/s12264-020-00579-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Accepted: 05/13/2020] [Indexed: 10/30/2022] Open
Abstract
Stress might exaggerate the compulsion and impair the working memory of patients with obsessive-compulsive disorder (OCD). This study evaluated the effect of stress on the cognitive neural processing of working memory in OCD and its clinical significance using a "number calculation working memory" task. Thirty-eight patients and 55 gender- and education-matched healthy controls were examined. Stress impaired the performance of the manipulation task in patients. Healthy controls showed less engagement of the medial prefrontal cortex and striatum during the task under stress versus less stress, which was absent in the patients with OCD. The diagnosis × stress interaction effect was significant in the right fusiform, supplementary motor area, precentral cortex and caudate. The failure of suppression of the medial prefrontal cortex and striatum and stress-related hyperactivation in the right fusiform, supplementary motor area, precentral cortex, and caudate might be an OCD-related psychopathological and neural response to stress.
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Affiliation(s)
- Qianqian Li
- Peking University Sixth Hospital, Beijing, 100191, China.,Peking University Institute of Mental Health, National Health Commission Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China
| | - Jun Yan
- Peking University Sixth Hospital, Beijing, 100191, China.,Peking University Institute of Mental Health, National Health Commission Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China
| | - Jinmin Liao
- Peking University Sixth Hospital, Beijing, 100191, China.,Peking University Institute of Mental Health, National Health Commission Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China
| | - Xiao Zhang
- Peking University Sixth Hospital, Beijing, 100191, China.,Peking University Institute of Mental Health, National Health Commission Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China
| | - Lijun Liu
- Peking University Sixth Hospital, Beijing, 100191, China.,Peking University Institute of Mental Health, National Health Commission Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China
| | - Xiaoyu Fu
- Peking University Sixth Hospital, Beijing, 100191, China.,Peking University Institute of Mental Health, National Health Commission Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China
| | - Hao Yang Tan
- Lieber Institute for Brain Development, Baltimore, MD, 21205, USA.,Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Dai Zhang
- Peking University Sixth Hospital, Beijing, 100191, China. .,Peking University Institute of Mental Health, National Health Commission Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China. .,Tsinghua University-Peking University Joint Center for Life Sciences, Beijing, 100871, China. .,PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, 100871, China.
| | - Hao Yan
- Peking University Sixth Hospital, Beijing, 100191, China. .,Peking University Institute of Mental Health, National Health Commission Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.
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27
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Harrewijn A, Vidal-Ribas P, Clore-Gronenborn K, Jackson SM, Pisano S, Pine DS, Stringaris A. Associations between brain activity and endogenous and exogenous cortisol - A systematic review. Psychoneuroendocrinology 2020; 120:104775. [PMID: 32592873 PMCID: PMC7502528 DOI: 10.1016/j.psyneuen.2020.104775] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 06/10/2020] [Accepted: 06/11/2020] [Indexed: 12/17/2022]
Abstract
To arrive at a coherent understanding of the relation between glucocorticoids and the human brain, we systematically reviewed the literature for studies examining the associations between endogenous or exogenous cortisol and human brain function. Higher levels of endogenous cortisol during psychological stress were related to increased activity in the middle temporal gyrus and perigenual anterior cingulate cortex (ACC), decreased activity in the ventromedial prefrontal cortex, and altered function (i.e., mixed findings, increased or decreased) in the amygdala, hippocampus and inferior frontal gyrus. Moreover, endogenous cortisol response to psychological stress was related to increased activity in the inferior temporal gyrus and altered function in the amygdala during emotional tasks that followed psychological stress. Exogenous cortisol administration was related to increased activity in the postcentral gyrus, superior frontal gyrus and ACC, and altered function in the amygdala and hippocampus during conditioning, emotional and reward-processing tasks after cortisol administration. These findings were in line with those from animal studies on amygdala activity during and after stress.
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Affiliation(s)
- Anita Harrewijn
- Emotion and Development Branch, National Institute of Mental Health, 9000 Rockville Pike, Bethesda, MD, 20892, USA.
| | - Pablo Vidal-Ribas
- Social and Behavioral Sciences Branch, National Institute of Child Health and Human Development, 6710 Rockledge Drive, Bethesda, MD, 20892, USA
| | - Katharina Clore-Gronenborn
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, 9501 Euclid Ave. EC10, Cleveland, OH, 44195, USA; Genetic Epidemiology Research Branch, National Institute of Mental Health, 9000 Rockville Pike, Bethesda, MD, 20892, USA
| | - Sarah M Jackson
- Emotion and Development Branch, National Institute of Mental Health, 9000 Rockville Pike, Bethesda, MD, 20892, USA
| | - Simone Pisano
- Department of Neuroscience, AORN Santobono-Pausilipon, Via Mario Fiore 6, Naples, Italy; Department of Translational Medical Sciences, Federico II University, Via Pansini 5, Naples, Italy
| | - Daniel S Pine
- Emotion and Development Branch, National Institute of Mental Health, 9000 Rockville Pike, Bethesda, MD, 20892, USA
| | - Argyris Stringaris
- Emotion and Development Branch, National Institute of Mental Health, 9000 Rockville Pike, Bethesda, MD, 20892, USA
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Major depressive disorder and accelerated aging from a peripheral IGF-1 overexpression perspective. Med Hypotheses 2020; 138:109610. [DOI: 10.1016/j.mehy.2020.109610] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 01/24/2020] [Accepted: 01/30/2020] [Indexed: 12/14/2022]
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Altered directed functional connectivity of the right amygdala in depression: high-density EEG study. Sci Rep 2020; 10:4398. [PMID: 32157152 PMCID: PMC7064485 DOI: 10.1038/s41598-020-61264-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Accepted: 02/19/2020] [Indexed: 12/20/2022] Open
Abstract
The cortico-striatal-pallidal-thalamic and limbic circuits are suggested to play a crucial role in the pathophysiology of depression. Stimulation of deep brain targets might improve symptoms in treatment-resistant depression. However, a better understanding of connectivity properties of deep brain structures potentially implicated in deep brain stimulation (DBS) treatment is needed. Using high-density EEG, we explored the directed functional connectivity at rest in 25 healthy subjects and 26 patients with moderate to severe depression within the bipolar affective disorder, depressive episode, and recurrent depressive disorder. We computed the Partial Directed Coherence on the source EEG signals focusing on the amygdala, anterior cingulate, putamen, pallidum, caudate, and thalamus. The global efficiency for the whole brain and the local efficiency, clustering coefficient, outflow, and strength for the selected structures were calculated. In the right amygdala, all the network metrics were significantly higher (p < 0.001) in patients than in controls. The global efficiency was significantly higher (p < 0.05) in patients than in controls, showed no correlation with status of depression, but decreased with increasing medication intake (\documentclass[12pt]{minimal}
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\begin{document}$${{\bf{R}}}^{{\bf{2}}}{\boldsymbol{=}}{\bf{0.59}}\,{\bf{and}}\,{\bf{p}}{\boldsymbol{=}}{\bf{1.52}}{\bf{e}}{\boldsymbol{ \mbox{-} }}{\bf{05}}$$\end{document}R2=0.59andp=1.52e‐05). The amygdala seems to play an important role in neurobiology of depression. Practical treatment studies would be necessary to assess the amygdala as a potential future DBS target for treating depression.
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The upside of stress: a mechanism for the positive motivational role of corticotropin releasing factor. Neuropsychopharmacology 2020; 45:219-220. [PMID: 31511617 PMCID: PMC6879522 DOI: 10.1038/s41386-019-0510-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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31
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Okamoto N, Watanabe K, Ngyuyen L, Ikenouchi A, Kishi T, Iwata N, Kakeda S, Korogi Y, Yoshimura R. Association of Serum Kynurenine Levels and Neural Networks in Patients with First-Episode, Drug-Naïve Major Depression: A Source-Based Morphometry Study. Neuropsychiatr Dis Treat 2020; 16:2569-2577. [PMID: 33154644 PMCID: PMC7605945 DOI: 10.2147/ndt.s279622] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 10/13/2020] [Indexed: 12/28/2022] Open
Abstract
PURPOSE The kynurenine (KYN) pathway can directly or indirectly influence cerebral volume and neural integrity in patients with major depression (MD). The aim of the present study was to investigate neural network systems and the KYN pathway in patients with first-episode, drug-naïve MD. PATIENTS AND METHODS Twenty right-handed drug-naïve patients, with MD diagnosed using the Diagnostic and Statistical Manual for Mental Disorders, Fourth Edition, Text Revision, Research Version, were included in this study. Magnetic resonance imaging scans and scores on the Hamilton Rating Scale for Depression were assessed, and serum sampling was performed prior to the start of pharmacological treatment. Image processing and data analysis were performed according to our recently published procedure. Serum metabolomes were measured in the cation and anion modes of CE-FTMS-based metabolome analysis. RESULTS We found that serum KYN levels were positively correlated with the Z-scores of the salience network but not with those of the central executive network or default mode network. No associations were observed between serum glutamate levels and the Z-score of any of the three networks. CONCLUSION Our results indicate that serum KYN levels might affect the activity of the salience network in first-episode, drug-naïve patients with MD.
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Affiliation(s)
- Naomichi Okamoto
- Department of Psychiatry, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Keita Watanabe
- Open Innovation Institute, Kyoto University, Kyoto, Japan
| | - LeHoa Ngyuyen
- Department of Psychiatry, University of Occupational and Environmental Health, Kitakyushu, Japan.,School of Medicine and Pharmacy, Vietnam National University, Hanoi, Vietnam
| | - Atsuko Ikenouchi
- Department of Psychiatry, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Taro Kishi
- Department of Psychiatry, Fujita Medical University, Toyoake, Japan
| | - Nakao Iwata
- Department of Psychiatry, Fujita Medical University, Toyoake, Japan
| | - Shingo Kakeda
- Department of Radiology, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan
| | - Yukunori Korogi
- Department of Radiology, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Reiji Yoshimura
- Department of Psychiatry, University of Occupational and Environmental Health, Kitakyushu, Japan
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Andreescu C, Ajilore O, Aizenstein HJ, Albert K, Butters MA, Landman BA, Karim HT, Krafty R, Taylor WD. Disruption of Neural Homeostasis as a Model of Relapse and Recurrence in Late-Life Depression. Am J Geriatr Psychiatry 2019; 27:1316-1330. [PMID: 31477459 PMCID: PMC6842700 DOI: 10.1016/j.jagp.2019.07.016] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 06/26/2019] [Accepted: 07/29/2019] [Indexed: 12/29/2022]
Abstract
The significant public health burden associated with late-life depression (LLD) is magnified by the high rates of recurrence. In this manuscript, we review what is known about recurrence risk factors, conceptualize recurrence within a model of homeostatic disequilibrium, and discuss the potential significance and challenges of new research into LLD recurrence. The proposed model is anchored in the allostatic load theory of stress. We review the allostatic response characterized by neural changes in network function and connectivity and physiologic changes in the hypothalamic-pituitary-adrenal axis, autonomic nervous system, immune system, and circadian rhythm. We discuss the role of neural networks' instability following treatment response as a source of downstream disequilibrium, triggering and/or amplifying abnormal stress response, cognitive dysfunction and behavioral changes, ultimately precipitating a full-blown recurrent episode of depression. We propose strategies to identify and capture early change points that signal recurrence risk through mobile technology to collect ecologically measured symptoms, accompanied by automated algorithms that monitor for state shifts (persistent worsening) and variance shifts (increased variability) relative to a patient's baseline. Identifying such change points in relevant sensor data could potentially provide an automated tool that could alert clinicians to at-risk individuals or relevant symptom changes even in a large practice.
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Affiliation(s)
| | | | - Howard J. Aizenstein
- Department of Psychiatry, University of Pittsburgh,Department of Bioengineering, University of Pittsburgh
| | - Kimberly Albert
- The Center for Cognitive Medicine, the Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center
| | | | - Bennett A. Landman
- Departments of Computer Science, Electrical Engineering, and Biomedical Engineering, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center
| | | | - Robert Krafty
- Department of Biostatistics, University of Pittsburgh
| | - Warren D. Taylor
- The Center for Cognitive Medicine, the Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center,Geriatric Research, Education and Clinical Center, Department of Veterans Affairs Medical Center, Tennessee Valley Healthcare System
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Liu Y, Admon R, Mellem MS, Belleau EL, Kaiser RH, Clegg R, Beltzer M, Goer F, Vitaliano G, Ahammad P, Pizzagalli DA. Machine Learning Identifies Large-Scale Reward-Related Activity Modulated by Dopaminergic Enhancement in Major Depression. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2019; 5:163-172. [PMID: 31784354 DOI: 10.1016/j.bpsc.2019.10.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 09/30/2019] [Accepted: 10/01/2019] [Indexed: 12/24/2022]
Abstract
BACKGROUND Theoretical models have emphasized systems-level abnormalities in major depressive disorder (MDD). For unbiased yet rigorous evaluations of pathophysiological mechanisms underlying MDD, it is critically important to develop data-driven approaches that harness whole-brain data to classify MDD and evaluate possible normalizing effects of targeted interventions. Here, using an experimental therapeutics approach coupled with machine learning, we investigated the effect of a pharmacological challenge aiming to enhance dopaminergic signaling on whole-brain response to reward-related stimuli in MDD. METHODS Using a double-blind, placebo-controlled design, we analyzed functional magnetic resonance imaging data from 31 unmedicated MDD participants receiving a single dose of 50 mg amisulpride (MDDAmisulpride), 26 MDD participants receiving placebo (MDDPlacebo), and 28 healthy control subjects receiving placebo (HCPlacebo) recruited through two independent studies. An importance-guided machine learning technique for model selection was used on whole-brain functional magnetic resonance imaging data probing reward anticipation and consumption to identify features linked to MDD (MDDPlacebo vs. HCPlacebo) and dopaminergic enhancement (MDDAmisulpride vs. MDDPlacebo). RESULTS Highly predictive classification models emerged that distinguished MDDPlacebo from HCPlacebo (area under the curve = 0.87) and MDDPlacebo from MDDAmisulpride (area under the curve = 0.89). Although reward-related striatal activation and connectivity were among the most predictive features, the best truncated models based on whole-brain features were significantly better relative to models trained using striatal features only. CONCLUSIONS Results indicate that in MDD, enhanced dopaminergic signaling restores abnormal activation and connectivity in a widespread network of regions. These findings provide new insights into the pathophysiology of MDD and pharmacological mechanism of antidepressants at the system level in addressing reward processing deficits among depressed individuals.
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Affiliation(s)
- Yuelu Liu
- BlackThorn Therapeutics, San Francisco, California
| | - Roee Admon
- Department of Psychology, University of Haifa, Haifa, Israel
| | | | - Emily L Belleau
- McLean Hospital, Belmont, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Roselinde H Kaiser
- Department of Psychology and Neuroscience, University of Colorado, Boulder, Colorado
| | | | | | | | - Gordana Vitaliano
- McLean Hospital, Belmont, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | | | - Diego A Pizzagalli
- McLean Hospital, Belmont, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.
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Antidepressant and Antiaging Effects of Açaí ( Euterpe oleracea Mart.) in Mice. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2019; 2019:3614960. [PMID: 31428223 PMCID: PMC6681600 DOI: 10.1155/2019/3614960] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 05/10/2019] [Accepted: 05/19/2019] [Indexed: 12/27/2022]
Abstract
Depression is a mental disorder that affects 300 million people of all ages worldwide, but fewer than half of those with the condition receive adequate treatment. In addition, the high pharmacological refractoriness (affecting 30%-50% of patients) and toxicity of some classical antidepressants support the pursuit of new therapies. People with this condition show depressed mood, loss of pleasure, high levels of oxidative stress, and accelerated biological aging (decreased telomere length and expression of the telomerase reverse transcriptase (TERT), the enzyme responsible for telomere maintenance). Because of the close relationship between depression and oxidative stress, nutraceuticals with antioxidant properties are excellent candidates for therapy. This study represents the first investigation of the possible antidepressant and antiaging effects of commercial samples of clarified açaí (Euterpe oleracea) juice (EO). This fruit is rich in antioxidants and widely consumed. In this study, mice were treated with saline or EO (10 μL/g, oral) for 4 days and then with saline or lipopolysaccharide (0.5 mg/kg, i.p.) to induce depressive-like behavior. Only four doses of EO were enough to abolish the despair-like and anhedonia behaviors and alterations observed in electromyographic measurements. The antidepression effect of EO was similar to that of imipramine and associated with antioxidant and antiaging effects (preventing lipid peroxidation and increasing TERT mRNA expression, respectively) in three major brain regions involved in depression (hippocampus, striatum, and prefrontal cortex). Additionally, EO significantly protected hippocampal cells, preventing neuronal loss associated with the depressive-like state and nitrite level increases (an indirect marker of nitric oxide production). Moreover, EO alone significantly increased TERT mRNA expression, revealing for the first time a potent antiaging action in the brain that suggests neuroprotection against long-term age-related consequences.
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35
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Alexander L, Clarke HF, Roberts AC. A Focus on the Functions of Area 25. Brain Sci 2019; 9:E129. [PMID: 31163643 PMCID: PMC6627335 DOI: 10.3390/brainsci9060129] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 05/24/2019] [Accepted: 05/29/2019] [Indexed: 12/27/2022] Open
Abstract
Subcallosal area 25 is one of the least understood regions of the anterior cingulate cortex, but activity in this area is emerging as a crucial correlate of mood and affective disorder symptomatology. The cortical and subcortical connectivity of area 25 suggests it may act as an interface between the bioregulatory and emotional states that are aberrant in disorders such as depression. However, evidence for such a role is limited because of uncertainty over the functional homologue of area 25 in rodents, which hinders cross-species translation. This emphasizes the need for causal manipulations in monkeys in which area 25, and the prefrontal and cingulate regions in which it is embedded, resemble those of humans more than rodents. In this review, we consider physiological and behavioral evidence from non-pathological and pathological studies in humans and from manipulations of area 25 in monkeys and its putative homologue, the infralimbic cortex (IL), in rodents. We highlight the similarities between area 25 function in monkeys and IL function in rodents with respect to the regulation of reward-driven responses, but also the apparent inconsistencies in the regulation of threat responses, not only between the rodent and monkey literatures, but also within the rodent literature. Overall, we provide evidence for a causal role of area 25 in both the enhanced negative affect and decreased positive affect that is characteristic of affective disorders, and the cardiovascular and endocrine perturbations that accompany these mood changes. We end with a brief consideration of how future studies should be tailored to best translate these findings into the clinic.
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Affiliation(s)
- Laith Alexander
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge CB2 3DY, UK.
- Behavioural and Clinical Neuroscience Institute, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, UK.
| | - Hannah F Clarke
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge CB2 3DY, UK.
- Behavioural and Clinical Neuroscience Institute, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, UK.
| | - Angela C Roberts
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge CB2 3DY, UK.
- Behavioural and Clinical Neuroscience Institute, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, UK.
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36
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Peters AT, Jenkins LM, Stange JP, Bessette KL, Skerrett KA, Kling LR, Welsh RC, Milad MR, Phan KL, Langenecker SA. Pre-scan cortisol is differentially associated with enhanced connectivity to the cognitive control network in young adults with a history of depression. Psychoneuroendocrinology 2019; 104:219-227. [PMID: 30889471 PMCID: PMC6488402 DOI: 10.1016/j.psyneuen.2019.03.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 01/23/2019] [Accepted: 03/11/2019] [Indexed: 01/01/2023]
Abstract
BACKGROUND We have previously demonstrated that pre-scan salivary cortisol is associated with attentuated frontal-subcortical brain activation during emotion processesing and semantic list-learning paradigms in depressed subjects. Additionally, altered functional connectivity is observed after remission of acute depression symptoms (rMDD). It is unknown whether cortisol also predicts altered functional connectivity during remission. METHODS Participants were 47 healthy controls (HC) and 73 rMDD, 18-30 years old who provided salivary cortisol samples before and after undergoing resting-state fMRI. We tested whether salivary cortisol by diagnosis interactions were associated with seed-based resting connectivity of the default mode (DMN) and salience and emotion (SN) networks using whole-brain, cluster-level corrected (p < .01) regression in SPM8. RESULTS Pre-scan cortisol predicted decreased (HC) and increased (rMDD) cross-network connectivity to the dorsal anterior cingulate, dorso-medial and lateral- prefrontal cortex, brain stem and cerebellum (all seeds) and precuneus (DMN seeds). By and large, pre/post-scan cortisol change predicted the same pattern of findings. In network analyses, cortisol predominantly predicted enhanced cross-network connectivity to cognitive control network regions in rMDD. CONCLUSIONS The association of cortisol with connections of default and salience networks to executive brain networks differs between individuals with and without a history of depression. Further investigation is needed to better understand the role of cortisol and related stress hormones as a potential primary and interactive driver of network coherence in depression.
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Affiliation(s)
- Amy T. Peters
- Massachusetts General Hospital, Department of Psychiatry
| | - Lisanne M. Jenkins
- Northwestern University Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences
| | | | - Katie L. Bessette
- University of Illinois at Chicago, Department of Psychiatry,University of Utah, Department of Psychiatry
| | | | - Leah R. Kling
- University of Illinois at Chicago, Department of Psychiatry
| | | | | | - K. Luan Phan
- University of Illinois at Chicago, Department of Psychiatry,University of Illinois-Chicago, Department of Anatomy and Cell Biology & Graduate Program in Neuroscience
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Petrican R, Grady CL. The intrinsic neural architecture of inhibitory control: The role of development and emotional experience. Neuropsychologia 2019; 127:93-105. [PMID: 30822448 DOI: 10.1016/j.neuropsychologia.2019.01.021] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Revised: 11/13/2018] [Accepted: 01/20/2019] [Indexed: 11/25/2022]
Abstract
Inhibitory control is a key determinant of goal-directed behavior. Its susceptibility to reward implies that its variations may not only reflect cognitive ability, but also sensitivity to goal-relevant information. Since cognitive ability and motivational sensitivity vary as a function of age and mood, we hypothesized that their relevance for predicting individual differences in inhibition would similarly vary. Here, we tested this prediction with respect to the brain's intrinsic functional architecture. Specifically, we reasoned that age and affective functioning would both moderate the relationship between inhibition and resting state expression of the dynamic neural organization patterns linked to engaging in cognitive effort versus those involved in manipulating motivationally salient information. First, we used task fMRI data from the Human Connectome Project (N = 359 participants) to identify the brain organization patterns unique to effortful cognitive processing versus manipulation of motivationally relevant information. We then assessed the association between inhibitory control and relative expression of these two neural patterns in an independent resting state dataset from the Nathan Kline Institute-Rockland lifespan sample (N = 247). As hypothesized, the relation between inhibition and intrinsic functional brain architecture varied as a function of age and affective functioning. Among those with superior affective functioning, better inhibitory control in adolescence and early adulthood was associated with stronger resting state expression of the brain pattern that typified processing of motivationally salient information. The opposite effect emerged beyond the age of 49. Among individuals with poorer affective functioning, a significant link between inhibition and brain architecture emerged only before the age of 28. In this group, superior inhibition was associated with stronger resting state expression of the neural pattern that typified effortful cognitive processing. Our results thus imply that motivational relevance makes a unique contribution to superior cognitive functioning during earlier life stages. However, its relevance to higher-order mentation decreases with aging and increased prevalence of mood-related problems, which raises the possibility that patterns of neurobehavioral responsiveness to motivational salience may constitute sensitive markers of successful lifespan development.
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Affiliation(s)
- Raluca Petrican
- Rotman Research Institute, 3560 Bathurst Street, Toronto, Ontario M6A 2E1, Canada.
| | - Cheryl L Grady
- Rotman Research Institute and Departments of Psychology and Psychiatry, University of Toronto, M6A 2E1, Canada
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Chronic brain stimulation rewarding experience ameliorates depression-induced cognitive deficits and restores aberrant plasticity in the prefrontal cortex. Brain Stimul 2019; 12:752-766. [PMID: 30765272 DOI: 10.1016/j.brs.2019.01.020] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 12/12/2018] [Accepted: 01/27/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is a multifactorial disease which often coexists with cognitive deficits. Depression-induced cognitive deficits are known to be associated with aberrant reward processing, neurochemical and structural alterations. Recent studies have shown that chronic electrical stimulation of brain reward areas induces a robust antidepressant effect. However, the effects of repeated electrical self-stimulation of lateral hypothalamus - medial forebrain bundle (LH-MFB) on depression-induced cognitive deficits and associated neurochemical and structural alterations in the prefrontal cortex (PFC) are unknown. OBJECTIVES We investigated the effect of chronic rewarding self-stimulation of LH-MFB in neonatal clomipramine (CLI) model of depression. During adulthood, neonatal CLI and saline administered rats were implanted with bilateral electrodes stereotaxically in the LH-MFB and trained to receive intracranial self-stimulation (ICSS) for 14 days. The rats were tested for depressive-like behaviors, learning and memory followed by estimation of PFC volumes, levels of monoamines and its metabolites in the PFC. RESULTS We found that chronic ICSS of LH-MFB reverses CLI-induced behavioral despair and anhedonia. Interestingly, self-stimulation normalizes the impaired novel object and location recognition memory in CLI rats. The amelioration of learning impairments in CLI rats was associated with the reversal of volume loss and restoration of monoamine metabolism in the PFC. CONCLUSION We demonstrated that repeated intracranial self-stimulation of LH-MFB ameliorates CLI-induced learning deficits, reverses altered monoamine metabolism and the atrophy of PFC. Our results support the hypothesis that chronic brain stimulation rewarding experience might be evolved as a potential treatment strategy for reversal of learning deficits in depression and associated disorders.
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Neuropeptide Y and representation of salience in human nucleus accumbens. Neuropsychopharmacology 2019; 44:495-502. [PMID: 30337638 PMCID: PMC6333772 DOI: 10.1038/s41386-018-0230-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 09/19/2018] [Accepted: 09/21/2018] [Indexed: 01/30/2023]
Abstract
Neuropeptide Y (NPY) produces anxiolytic effects in rodent models, and naturally occurring low NPY expression in humans has been associated with negative emotional phenotypes. Studies in rodent models have also demonstrated that NPY elicits reward behaviors through its action in the nucleus accumbens (NAc), but the impact of NPY on the human NAc is largely unexplored. We recruited 222 healthy young adults of either sex and genetically selected 53 of these subjects at the extremes of NPY expression (Low-NPY and High-NPY) to participate in functional magnetic resonance imaging. Responses of the NAc and surrounding ventral striatum were quantified during a monetary incentive delay task in which stimuli varied by salience (high versus low) and valence (win versus loss). We found that bilateral NAc responses to high-salience versus low-salience stimuli were greater for Low-NPY subjects relative to High-NPY subjects, regardless of stimulus valence. To our knowledge, these results provide the first evidence in humans linking NPY with salience sensitivity of the NAc, raising the possibility that individual differences in NPY expression moderate the risk for disorders of mesoaccumbal function such as addictions and mood disorders. Additionally, we found that head motion was greater among High-NPY subjects, consistent with previous reports linking NPY with hyperactivity. Future studies in animal models are warranted to elucidate the neural mechanisms through which NPY influences NAc function and related behaviors.
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Hoorelbeke K, Van den Bergh N, Wichers M, Koster EHW. Between vulnerability and resilience: A network analysis of fluctuations in cognitive risk and protective factors following remission from depression. Behav Res Ther 2019; 116:1-9. [PMID: 30710666 DOI: 10.1016/j.brat.2019.01.007] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 01/15/2019] [Accepted: 01/23/2019] [Indexed: 10/27/2022]
Abstract
Research exploring how cognitive risk- and protective factors relate following remission from internalizing disorders suggests a central role for resilience. However, it remains unclear what constitutes resilience in this context. Furthermore, previous studies have typically relied on cross-sectional data which do not allow to map the temporal dynamics of such relations. Using a seven-day experience sampling period in 85 remitted depressed patients, we examined the interplay between five transdiagnostic vulnerability- and protective factors in daily life. We present a temporal, contemporaneous, and a between-subjects network, providing an in-depth analysis of how these factors relate to daily life fluctuations in residual symptomatology. Furthermore, we test the role of positive affect as a main resilience factor. Resilience uniquely predicted all other factors over time (temporal network). Higher levels of resilience were related to less momentary use of rumination, more deployment of positive appraisal, and lower occurrence of residual symptoms (contemporaneous network). Participants scoring high on resilience mostly engaged in positive appraisal (between-subjects network). Similar structures were obtained when substituting self-reported resilience by positive affect. This highlights the importance of resilience, and in particular, positive affectivity, to cope with stressors following remission. This may be fostered by facilitating the use of positive appraisal.
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Affiliation(s)
- Kristof Hoorelbeke
- Department of Experimental-Clinical and Health Psychology, Ghent University, Belgium.
| | - Nathan Van den Bergh
- Department of Experimental-Clinical and Health Psychology, Ghent University, Belgium
| | - Marieke Wichers
- University of Groningen, University Medical Center Groningen (UMCG), Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen, the Netherlands
| | - Ernst H W Koster
- Department of Experimental-Clinical and Health Psychology, Ghent University, Belgium
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41
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Li BJ, Friston K, Mody M, Wang HN, Lu HB, Hu DW. A brain network model for depression: From symptom understanding to disease intervention. CNS Neurosci Ther 2018; 24:1004-1019. [PMID: 29931740 DOI: 10.1111/cns.12998] [Citation(s) in RCA: 154] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Revised: 05/29/2018] [Accepted: 05/29/2018] [Indexed: 12/13/2022] Open
Abstract
Understanding the neural substrates of depression is crucial for diagnosis and treatment. Here, we review recent studies of functional and effective connectivity in depression, in terms of functional integration in the brain. Findings from these studies, including our own, point to the involvement of at least four networks in patients with depression. Elevated connectivity of a ventral limbic affective network appears to be associated with excessive negative mood (dysphoria) in the patients; decreased connectivity of a frontal-striatal reward network has been suggested to account for loss of interest, motivation, and pleasure (anhedonia); enhanced default mode network connectivity seems to be associated with depressive rumination; and diminished connectivity of a dorsal cognitive control network is thought to underlie cognitive deficits especially ineffective top-down control of negative thoughts and emotions in depressed patients. Moreover, the restoration of connectivity of these networks-and corresponding symptom improvement-following antidepressant treatment (including medication, psychotherapy, and brain stimulation techniques) serves as evidence for the crucial role of these networks in the pathophysiology of depression.
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Affiliation(s)
- Bao-Juan Li
- School of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi, China.,Department of Radiology, Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Karl Friston
- The Wellcome Trust Centre for Neuroimaging, University College London, London, UK
| | - Maria Mody
- Department of Radiology, Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Hua-Ning Wang
- Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - Hong-Bing Lu
- School of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - De-Wen Hu
- Department of Automatic Control, College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, China
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42
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Moran LV, Stoeckel LE, Wang K, Caine CE, Villafuerte R, Calderon V, Baker JT, Ongur D, Janes AC, Pizzagalli DA, Eden Evins A. Nicotine Increases Activation to Anticipatory Valence Cues in Anterior Insula and Striatum. Nicotine Tob Res 2018; 20:851-858. [PMID: 29059451 PMCID: PMC5991218 DOI: 10.1093/ntr/ntx217] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Accepted: 09/21/2017] [Indexed: 12/30/2022]
Abstract
Introduction Smoking is associated with significant morbidity and mortality. Understanding the neurobiology of the rewarding effects of nicotine promises to aid treatment development for nicotine dependence. Through its actions on mesolimbic dopaminergic systems, nicotine engenders enhanced responses to drug-related cues signaling rewards, a mechanism hypothesized to underlie the development and maintenance of nicotine addiction. Methods We evaluated the effects of acute nicotine on neural responses to anticipatory cues signaling (nondrug) monetary reward or loss among 11 nonsmokers who had no prior history of tobacco smoking. In a double-blind, crossover design, participants completed study procedures while wearing nicotine or placebo patches at least 1 week apart. In each drug condition, participants underwent functional magnetic resonance imaging while performing the monetary incentive delay task and performed a probabilistic monetary reward task, probing reward responsiveness as measured by response bias toward a more frequently rewarded stimulus. Results Nicotine administration was associated with enhanced activation, compared with placebo, of right fronto-anterior insular cortex and striatal regions in response to cues predicting possible rewards or losses and to dorsal anterior cingulate for rewards. Response bias toward rewarded stimuli correlated positively with insular activation to anticipatory cues. Conclusion Nicotinic enhancement of monetary reward-related brain activation in the insula and striatum in nonsmokers dissociated acute effects of nicotine from effects on reward processing due to chronic smoking. Reward responsiveness predicted a greater nicotinic effect on insular activation to salient stimuli. Implications Previous research demonstrates that nicotine enhances anticipatory responses to rewards in regions targeted by midbrain dopaminergic systems. The current study provides evidence that nicotine also enhances responses to rewards and losses in the anterior insula. A previous study found enhanced insular activation to rewards and losses in smokers and ex-smokers, a finding that could be due to nicotine sensitization or factors related to current or past smoking. Our finding of enhanced anterior insula response after acute administration of nicotine in nonsmokers provides support for nicotine-induced sensitization of insular response to rewards and losses.
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Affiliation(s)
- Lauren V Moran
- McLean Hospital, Belmont, MA
- Harvard Medical School, Boston, MA
| | - Luke E Stoeckel
- Harvard Medical School, Boston, MA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA
| | | | | | | | - Vanessa Calderon
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA
| | - Justin T Baker
- McLean Hospital, Belmont, MA
- Harvard Medical School, Boston, MA
| | - Dost Ongur
- McLean Hospital, Belmont, MA
- Harvard Medical School, Boston, MA
| | - Amy C Janes
- McLean Hospital, Belmont, MA
- Harvard Medical School, Boston, MA
| | | | - A Eden Evins
- Harvard Medical School, Boston, MA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA
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43
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Servaas MN, Riese H, Renken RJ, Wichers M, Bastiaansen JA, Figueroa CA, Geugies H, Mocking RJT, Geerligs L, Marsman JBC, Aleman A, Schene AH, Schoevers RA, Ruhé HG. Associations Between Daily Affective Instability and Connectomics in Functional Subnetworks in Remitted Patients with Recurrent Major Depressive Disorder. Neuropsychopharmacology 2017; 42:2583-2592. [PMID: 28361870 PMCID: PMC5686496 DOI: 10.1038/npp.2017.65] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Revised: 03/22/2017] [Accepted: 03/24/2017] [Indexed: 12/12/2022]
Abstract
Remitted patients with major depressive disorder (rMDD) often report more fluctuations in mood as residual symptomatology. It is unclear how this affective instability is associated with information processing related to the default mode (DMS), salience/reward (SRS), and frontoparietal (FPS) subnetworks in rMDD patients at high risk of recurrence (rrMDD). Sixty-two unipolar, drug-free rrMDD patients (⩾2 MDD episodes) and 41 healthy controls (HCs) were recruited. We used experience sampling methodology to monitor mood/cognitions (10 times a day for 6 days) and calculated affective instability using the mean adjusted absolute successive difference. Subsequently, we collected resting-state functional magnetic resonance imaging data and performed graph theory to obtain network metrics of integration within (local efficiency) the DMS, SRS, and FPS, and between (participation coefficient) these subnetworks and others. In rrMDD patients compared with HCs, we found that affective instability was increased in most negative mood/cognition variables and that the DMS had less connections with other subnetworks. Furthermore, we found that rrMDD patients, who showed more instability in feeling down and irritated, had less connections between the SRS and other subnetworks and higher local efficiency coefficients in the FPS, respectively. In conclusion, rrMDD patients, compared with HCs, are less stable in their negative mood and these dynamics are related to differences in information processing within- and between-specific functional subnetworks. These results are a first step to gain a better understanding of how mood fluctuations in real life are represented in the brain and provide insights into the vulnerability profile of MDD.
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Affiliation(s)
- Michelle N Servaas
- Department of Psychiatry, Mood and Anxiety Disorders, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Psychiatry, University Medical Center Groningen, Interdisciplinary Center for Psychopathology and Emotion Regulation, University of Groningen, Groningen, The Netherlands
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, Neuroimaging Center, Groningen, The Netherlands
| | - Harriëtte Riese
- Department of Psychiatry, University Medical Center Groningen, Interdisciplinary Center for Psychopathology and Emotion Regulation, University of Groningen, Groningen, The Netherlands
| | - Remco J Renken
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, Neuroimaging Center, Groningen, The Netherlands
| | - Marieke Wichers
- Department of Psychiatry, University Medical Center Groningen, Interdisciplinary Center for Psychopathology and Emotion Regulation, University of Groningen, Groningen, The Netherlands
| | - Jojanneke A Bastiaansen
- Department of Psychiatry, University Medical Center Groningen, Interdisciplinary Center for Psychopathology and Emotion Regulation, University of Groningen, Groningen, The Netherlands
- Department of Education and Research, Friesland Mental Health Care Services, Leeuwarden, The Netherlands
| | - Caroline A Figueroa
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Hanneke Geugies
- Department of Psychiatry, Mood and Anxiety Disorders, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, Neuroimaging Center, Groningen, The Netherlands
| | - Roel JT Mocking
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Linda Geerligs
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Jan-Bernard C Marsman
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, Neuroimaging Center, Groningen, The Netherlands
| | - André Aleman
- Department of Neuroscience, University of Groningen, University Medical Center Groningen, Neuroimaging Center, Groningen, The Netherlands
- Department of Psychology, University of Groningen, The Netherlands
| | - Aart H Schene
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Robert A Schoevers
- Department of Psychiatry, Mood and Anxiety Disorders, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Psychiatry, University Medical Center Groningen, Interdisciplinary Center for Psychopathology and Emotion Regulation, University of Groningen, Groningen, The Netherlands
| | - Henricus G Ruhé
- Department of Psychiatry, Mood and Anxiety Disorders, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Psychiatry, University Medical Center Groningen, Interdisciplinary Center for Psychopathology and Emotion Regulation, University of Groningen, Groningen, The Netherlands
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
- Department of Psychiatry, University of Oxford, Warnford Hospital, Oxford, UK
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44
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Mareckova K, Holsen L, Admon R, Whitfield-Gabrieli S, Seidman LJ, Buka SL, Klibanski A, Goldstein J. Neural - hormonal responses to negative affective stimuli: Impact of dysphoric mood and sex. J Affect Disord 2017; 222:88-97. [PMID: 28688266 PMCID: PMC5560420 DOI: 10.1016/j.jad.2017.06.050] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Revised: 06/07/2017] [Accepted: 06/22/2017] [Indexed: 01/15/2023]
Abstract
BACKGROUND Maladaptive responses to negative affective stimuli are pervasive, including clinically ill and healthy people, and men and women respond differently at neural and hormonal levels. Inspired by the Research Domain Criteria initiative, we used a transdiagnostic approach to investigate the impact of sex and dysphoric mood on neural-hormonal responses to negative affective stimuli. METHODS Participants included 99 individuals with major depressive disorder, psychosis and healthy controls. Functional magnetic resonance imaging (fMRI) was complemented with real-time acquisition of hypothalamo-pituitary-adrenal (HPA) and -gonadal (HPG) hormones. fMRI data were analyzed in SPM8 and task-related connectivity was assessed using generalized psychophysiological interaction. RESULTS Across all participants, elevated cortisol response predicted lower brain activity in orbitofrontal cortex and hypothalamus-amygdala connectivity. In those with worse dysphoric mood, elevated cortisol response predicted lower activity in hypothalamus and hippocampus. In women, elevated cortisol response was associated with lower activity in medial prefrontal cortex and low hypothalamo-hippocampal connectivity. In women with high dysphoric mood, elevated cortisol response was associated with low hypothalamo-hippocampal connectivity. There were no interactions with diagnosis or medication. LIMITATIONS There was limited power to correct for multiple comparisons across total number of ROIs and connectivity targets; cortisol responses were relatively low. CONCLUSIONS We conclude that the pathophysiology in neural-hormonal responses to negative affective stimuli is shared across healthy and clinical populations and varies as a function of sex and dysphoric mood. Our findings may contribute to the development of hormonal adjunctive therapeutics that are sex-dependent, underscoring the importance of one's sex to precision medicine.
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Affiliation(s)
- K. Mareckova
- Connors Center for Women’s Health and Gender Biology, Department of Medicine, Brigham and Women’s Hospital; Department of Psychiatry, Harvard Medical School (HMS), Boston, MA, USA,CEITEC, Masaryk University, Brno, Czech Republic
| | - L. Holsen
- Connors Center for Women’s Health and Gender Biology, Department of Medicine, Brigham and Women’s Hospital; Department of Psychiatry, Harvard Medical School (HMS), Boston, MA, USA
| | - R. Admon
- McLean Hospital, Department of Psychiatry, HMS, Boston, MA USA
| | - S. Whitfield-Gabrieli
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA
| | - LJ Seidman
- Beth Israel Deaconess Medical Center, Division of Public Psychiatry, Massachusetts Mental Health Center; Department of Psychiatry, HMS, Boston, MA, USA
| | - SL Buka
- Department of Community Health, Brown University, Providence, RI, USA
| | - A. Klibanski
- Massachusetts General Hospital, Department of Medicine, Neuroendocrine Unit; HMS, Department of Medicine, Boston, MA, USA
| | - J.M. Goldstein
- Connors Center for Women’s Health and Gender Biology, Department of Medicine, Brigham and Women’s Hospital; Department of Psychiatry, Harvard Medical School (HMS), Boston, MA, USA,Departments of Psychiatry and Medicine, Harvard Medical School, Boston, MA, USA
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45
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DelDonno SR, Jenkins LM, Crane NA, Nusslock R, Ryan KA, Shankman SA, Phan KL, Langenecker SA. Affective traits and history of depression are related to ventral striatum connectivity. J Affect Disord 2017. [PMID: 28633048 PMCID: PMC5562158 DOI: 10.1016/j.jad.2017.06.014] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
INTRODUCTION Studying remitted Major Depressive Disorder (rMDD) facilitates a better understanding of neural mechanisms for risk, given that confounding effects of active symptoms are removed. Disrupted functional connectivity has been reported in multiple networks in MDD. However, no study to date of rMDD has specifically examined connectivity of the ventral striatum (VS), a region highly implicated in reward and motivation. We investigated functional connectivity of the VS in individuals with and without a history of MDD, and in relation to affective personality traits. METHODS Forty-two individuals with rMDD and 28 healthy controls across two sites completed resting-state fMRI and the Behavioral Inhibition System/Behavioral Activation System Scale. Voxel-wise, whole-brain comparisons were conducted across and between groups for four seeds: left and right inferior VS (VSi), left and right superior VS (VSs). RESULTS VSs connectivity to temporal and subcortical regions including the putamen and amygdala was positive and greater in HCs compared to rMDD individuals. Across groups, VSi connectivity was positively correlated with trait reward-responsiveness in somatomotor regions. Across groups, VSs connectivity was positively correlated with trait drive, particularly in the putamen, parahippocampal, and inferior temporal gyrus, and was negatively associated with trait behavioral inhibition in the anterior cingulate, frontal gyri, and insula. LIMITATIONS Limitations include scanning at two sites and using multiple comparisons. DISCUSSION Group connectivity differences emerged from the VSs rather than VSi. VSs showed associations with trait drive and behavioral inhibition, whereas VSi corrrelated with reward-responsiveness. Depression history and affective traits contribute meaningful and specific information about VS connectivity in understanding risk for MDD.
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Affiliation(s)
| | | | | | | | | | | | - K. Luan Phan
- Department of Psychiatry, University of Illinois at Chicago
| | - Scott A. Langenecker
- Department of Psychology, University of Illinois at Chicago,Department of Psychiatry, University of Illinois at Chicago,Corresponding author: 1601 W Taylor St., M/C 912, Chicago, IL 60612, USA. P: (312) 996-0085.
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46
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Gong L, He C, Yin Y, Wang H, Ye Q, Bai F, Yuan Y, Zhang H, Lv L, Zhang H, Zhang Z, Xie C. Mediating Role of the Reward Network in the Relationship between the Dopamine Multilocus Genetic Profile and Depression. Front Mol Neurosci 2017; 10:292. [PMID: 28959185 PMCID: PMC5603675 DOI: 10.3389/fnmol.2017.00292] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Accepted: 08/31/2017] [Indexed: 12/24/2022] Open
Abstract
Multiple genetic loci in the dopamine (DA) pathway have been associated with depression symptoms in patients with major depressive disorder (MDD). However, the neural mechanisms underlying the polygenic effects of the DA pathway on depression remain unclear. We used an imaging genetic approach to investigate the polygenic effects of the DA pathway on the reward network in MDD. Fifty-three patients and 37 cognitively normal (CN) subjects were recruited and underwent resting-state functional magnetic resonance imaging (R-fMRI) scans. Multivariate linear regression analysis was employed to measure the effects of disease and multilocus genetic profile scores (MGPS) on the reward network, which was constructed using the nucleus accumbens (NAc) functional connectivity (NAFC) network. DA-MGPS was widely associated within the NAFC network, mainly in the inferior frontal cortex, insula, hypothalamus, superior temporal gyrus, and occipital cortex. The pattern of DA-MGPS effects on the fronto-striatal pathway differed in MDD patients compared with CN subjects. More importantly, NAc-putamen connectivity mediates the association between DA MGPS and anxious depression traits in MDD patients. Our findings suggest that the DA multilocus genetic profile makes a considerable contribution to the reward network and anxious depression in MDD patients. These results expand our understanding of the pathophysiology of polygenic effects underlying brain network abnormalities in MDD.
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Affiliation(s)
- Liang Gong
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast UniversityNanjing, China
| | - Cancan He
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast UniversityNanjing, China
| | - Yingying Yin
- Department of Psychology, Affiliated ZhongDa Hospital, School of Medicine, Southeast UniversityNanjing, China
| | - Hui Wang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast UniversityNanjing, China
| | - Qing Ye
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast UniversityNanjing, China
| | - Feng Bai
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast UniversityNanjing, China.,Neuropsychaitric institute, Affiliated ZhongDa Hospital, Southeast UniversityNanjing, China
| | - Yonggui Yuan
- Department of Psychology, Affiliated ZhongDa Hospital, School of Medicine, Southeast UniversityNanjing, China.,Neuropsychaitric institute, Affiliated ZhongDa Hospital, Southeast UniversityNanjing, China
| | - Haisan Zhang
- Department of Psychiatry, Henan Mental Hospital, the Second Hospital of Xinxiang Medical UniversityXinxiang, China
| | - Luxian Lv
- Department of Psychiatry, Henan Mental Hospital, the Second Hospital of Xinxiang Medical UniversityXinxiang, China
| | - Hongxing Zhang
- Department of Psychiatry, Henan Mental Hospital, the Second Hospital of Xinxiang Medical UniversityXinxiang, China
| | - Zhijun Zhang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast UniversityNanjing, China.,Neuropsychaitric institute, Affiliated ZhongDa Hospital, Southeast UniversityNanjing, China
| | - Chunming Xie
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast UniversityNanjing, China.,Neuropsychaitric institute, Affiliated ZhongDa Hospital, Southeast UniversityNanjing, China
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47
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Zhu X, Helpman L, Papini S, Schneier F, Markowitz JC, Van Meter PE, Lindquist MA, Wager TD, Neria Y. Altered resting state functional connectivity of fear and reward circuitry in comorbid PTSD and major depression. Depress Anxiety 2017; 34:641-650. [PMID: 28030757 PMCID: PMC5667358 DOI: 10.1002/da.22594] [Citation(s) in RCA: 65] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Revised: 11/22/2016] [Accepted: 11/26/2016] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND Individuals with comorbid posttraumatic stress disorder and major depressive disorder (PTSD-MDD) often exhibit greater functional impairment and poorer treatment response than individuals with PTSD alone. Research has not determined whether PTSD-MDD is associated with different network connectivity abnormalities than PTSD alone. METHODS We used functional magnetic resonance imaging (fMRI) to measure resting state functional connectivity (rs-FC) patterns of brain regions involved in fear and reward processing in three groups: patients with PTSD-alone (n = 27), PTSD-MDD (n = 21), and trauma-exposed healthy controls (TEHCs, n = 34). Based on previous research, seeds included basolateral amygdala (BLA), centromedial amygdala (CMA), and nucleus accumbens (NAcc). RESULTS Regardless of MDD comorbidity, PTSD was associated with decreased connectivity of BLA-orbitalfrontal cortex (OFC) and CMA-thalamus pathways, key to fear processing, and fear expression, respectively. PTSD-MDD, compared to PTSD-alone and TEHC, was associated with decreased connectivity across multiple amygdala and striatal-subcortical pathways: BLA-OFC, NAcc-thalamus, and NAcc-hippocampus. Further, while both the BLA-OFC and the NAcc-thalamus pathways were correlated with MDD symptoms, PTSD symptoms correlated with the amygdala pathways (BLA-OFC; CMA-thalamus) only. CONCLUSIONS Comorbid PTSD-MDD may be associated with multifaceted functional connectivity alterations in both fear and reward systems. Clinical implications are discussed.
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Affiliation(s)
- Xi Zhu
- Department of Psychiatry, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - Liat Helpman
- Department of Psychiatry, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - Santiago Papini
- Department of Psychology and Institute for Mental Health Research, The University of Texas at Austin, Austin, TX, USA
| | - Franklin Schneier
- Department of Psychiatry, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - John C. Markowitz
- Department of Psychiatry, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | | | | | - Tor D. Wager
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Yuval Neria
- Department of Psychiatry, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
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48
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Fractional amplitude of low-frequency fluctuations is disrupted in Alzheimer’s disease with depression. Clin Neurophysiol 2017; 128:1344-1349. [DOI: 10.1016/j.clinph.2017.05.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Revised: 03/12/2017] [Accepted: 05/01/2017] [Indexed: 12/31/2022]
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49
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Admon R, Kaiser RH, Dillon DG, Beltzer M, Goer F, Olson DP, Vitaliano G, Pizzagalli DA. Dopaminergic Enhancement of Striatal Response to Reward in Major Depression. Am J Psychiatry 2017; 174:378-386. [PMID: 27771973 PMCID: PMC5378658 DOI: 10.1176/appi.ajp.2016.16010111] [Citation(s) in RCA: 83] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
OBJECTIVE Major depressive disorder is characterized by reduced reward-related striatal activation and dysfunctional reward learning, putatively reflecting decreased dopaminergic signaling. The goal of this study was to test whether a pharmacological challenge designed to facilitate dopaminergic transmission can enhance striatal responses to reward and improve reward learning in depressed individuals. METHOD In a double-blind placebo-controlled design, 46 unmedicated depressed participants and 43 healthy control participants were randomly assigned to receive either placebo or a single low dose (50 mg) of the D2/D3 receptor antagonist amisulpride, which is believed to increase dopamine signaling through presynaptic autoreceptor blockade. To investigate the effects of increased dopaminergic transmission on reward-related striatal function and behavior, a monetary incentive delay task (in conjunction with functional MRI) and a probabilistic reward learning task were administered at absorption peaks of amisulpride. RESULTS Depressed participants selected previously rewarded stimuli less frequently than did control participants, indicating reduced reward learning, but this effect was not modulated by amisulpride. Relative to depressed participants receiving placebo (and control participants receiving amisulpride), depressed participants receiving amisulpride exhibited increased striatal activation and potentiated corticostriatal functional connectivity between the nucleus accumbens and the midcingulate cortex in response to monetary rewards. Stronger corticostriatal connectivity in response to rewards predicted better reward learning among depressed individuals receiving amisulpride as well as among control participants receiving placebo. CONCLUSIONS Acute enhancement of dopaminergic transmission potentiated reward-related striatal activation and corticostriatal functional connectivity in depressed individuals but had no behavioral effects. Taken together, the results suggest that targeted pharmacological treatments may normalize neural correlates of reward processing in depression; despite such acute effects on neural function, behavioral modification may require more chronic exposure. This is consistent with previous reports that antidepressant effects of amisulpride in depression emerged after sustained administration.
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Affiliation(s)
- Roee Admon
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Roselinde H. Kaiser
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Daniel G. Dillon
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Miranda Beltzer
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Franziska Goer
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - David P. Olson
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA,McLean Imaging Center, McLean Hospital, Belmont, MA, USA
| | - Gordana Vitaliano
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA,McLean Imaging Center, McLean Hospital, Belmont, MA, USA
| | - Diego A. Pizzagalli
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA,McLean Imaging Center, McLean Hospital, Belmont, MA, USA
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50
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Bryant J, Winer ES, Salem T, Nadorff MR. Struggling toward reward: Recent experience of anhedonia interacts with motivation to predict reward pursuit in the face of a stressful manipulation. PLoS One 2017; 12:e0173439. [PMID: 28273126 PMCID: PMC5342255 DOI: 10.1371/journal.pone.0173439] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Accepted: 02/21/2017] [Indexed: 11/18/2022] Open
Abstract
Anhedonia, or the loss of interest and/or pleasure, is a core symptom of depression. Individuals experiencing anhedonia have difficulty motivating themselves to pursue rewarding stimuli, which can result in dysfunction. Action orientation is a motivational factor that might interact with anhedonia to potentially buffer against this dysfunction, as action-oriented individuals upregulate positive affect to quickly motivate themselves to complete goals in the face of stress. The Effort-Expenditure for Rewards Task (EEfRT) is a promising new method for examining differences in motivation in individuals experiencing anhedonia. In the EEfRT, participants choose either easier tasks associated with smaller monetary rewards or harder tasks associated with larger monetary rewards. We examined the relationship between action orientation and EEfRT performance following a negative mood induction in a sample with varying levels of anhedonia. There were two competing hypotheses: (1) action orientation would act as a buffer against anhedonia such that action-oriented individuals, regardless of anhedonic symptoms, would be motivated to pursue greater rewards despite stress, or (2) anhedonia would act as a debilitating factor such that individuals with elevated anhedonic symptoms, regardless of action orientation, would not pursue greater rewards. We examined these hypotheses via Generalized Estimating Equations and found an interaction between anhedonia and action orientation. At low levels of anhedonia, action orientation was associated with effort for reward, but this relationship was not present at high levels of anhedonia. Thus, at low levels of anhedonia, action orientation acted as a buffer against stress, but at high levels, anhedonia debilitated action orientation so that it was no longer a promotive factor.
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Affiliation(s)
- Jessica Bryant
- Department of Psychology, Mississippi State University, Starkville, MS, United States of America
- * E-mail:
| | - E. Samuel Winer
- Department of Psychology, Mississippi State University, Starkville, MS, United States of America
| | - Taban Salem
- Department of Psychology, Mississippi State University, Starkville, MS, United States of America
| | - Michael R. Nadorff
- Department of Psychology, Mississippi State University, Starkville, MS, United States of America
- Menninger Department of Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States of America
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