1
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Somerville Y, Abend R. The Organization of Anxiety Symptoms Along the Threat Imminence Continuum. Curr Top Behav Neurosci 2024. [PMID: 39579323 DOI: 10.1007/7854_2024_548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2024]
Abstract
Pathological anxiety is highly prevalent, impairing, and often chronic. Yet, despite considerable research, mechanistic understanding of anxiety and its translation to clinical practice remain limited. Here, we first highlight two foundational complications that contribute to this gap: a reliance on a phenomenology-driven definition of pathological anxiety in neurobiological mechanistic research, and a limited understanding of the chronicity of anxiety symptom expression. We then posit that anxiety symptoms may reflect aberrant expression of otherwise normative defensive responses. Accordingly, we propose that threat imminence, an organizing dimension for normative defensive responses observed across species, may be applied to organize and understand anxiety symptoms along a temporal dimension of expression. Empirical evidence linking distinct anxiety symptoms and the aberrant expression of imminence-dependent defensive responses is reviewed, alongside the neural mechanisms which may underpin these cognitive, physiological, and behavioral responses. Drawing from extensive translational and clinical research, we suggest that understanding anxiety symptoms through this neurobiologically-informed framework may begin to overcome the conceptual complications hindering advancement in mechanistic research and clinical interventions for pathological anxiety.
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Affiliation(s)
- Ya'ira Somerville
- Baruch Ivcher School of Psychology, Reichman University, Herzliya, Israel
| | - Rany Abend
- Baruch Ivcher School of Psychology, Reichman University, Herzliya, Israel.
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2
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Bas-Hoogendam JM. Genetic Vulnerability to Social Anxiety Disorder. Curr Top Behav Neurosci 2024. [PMID: 39543021 DOI: 10.1007/7854_2024_544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2024]
Abstract
Most anxiety disorders 'run within families': people suffering from an anxiety disorder often have family members who are highly anxious as well. In this chapter, we explore recent work devoted to unraveling the complex interplay between genes and environment in the development of anxiety. We review studies focusing on the genetic vulnerability to develop social anxiety disorder (SAD), as SAD is one of the most prevalent anxiety disorders, with an early onset, a chronic course, and associated with significant life-long impairments. More insight into the development of SAD is thus of uttermost importance.First, we will discuss family studies, twin studies, and large-sized population-based registry studies and explain what these studies can reveal about the genetic vulnerability to develop anxiety. Next, we describe the endophenotype approach; in this context, we will summarize results from the Leiden Family Lab study on Social Anxiety Disorder. Subsequently, we review the relationship between the heritable trait 'behavioral inhibition' and the development of SAD, and highlight the relevance of this work for the development and improvement of preventative and therapeutic interventions for socially anxious youth.
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Affiliation(s)
- Janna Marie Bas-Hoogendam
- Leiden University, Leiden, The Netherlands.
- Leiden University Medical Center, Leiden, The Netherlands.
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands.
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3
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Schwartz PJ. Freud's 1926 conjecture is confirmed: evidence from the dorsal periaqueductal gray in mice that human psychological defense against internal instinctual threat evolved from animal motor defense against external predatory threat. Front Psychol 2024; 15:1427816. [PMID: 39380762 PMCID: PMC11458385 DOI: 10.3389/fpsyg.2024.1427816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Accepted: 09/05/2024] [Indexed: 10/10/2024] Open
Abstract
In 1926, Freud famously conjectured that the human ego defense of repression against an internal instinctual threat evolved from the animal motor defense of flight from an external predatory threat. Studies over the past 50 years mainly in rodents have investigated the neurobiology of the fight-or-flight reflex to external threats, which activates the emergency alarm system in the dorsal periaqueductal gray (dPAG), the malfunction of which appears likely in panic and post-traumatic stress disorders, but perhaps also in some "non-emergent" conditions like social anxiety and "hysterical" conversion disorder. Computational neuroscience studies in mice by Reis and colleagues have revealed unprecedented insights into the dPAG-related neural mechanisms underlying these evolutionarily honed emergency vertebrate defensive functions (e.g., explore, risk assessment, escape, freeze). A psychoanalytic interpretation of the Reis studies demonstrates that Freud's 1926 conjecture is confirmed, and that internal instinctual threats alone can also set off the dPAG emergency alarm system, which is regulated by 5-HT1A and CRF-1 receptors. Consistent with current psychoanalytic and neurobiologic theories of panic, several other of the primitive components of the dPAG alarm system may also have relevance for understanding of the unconscious determinants of impaired object relationships (e.g., avoidance distance). These dPAG findings reveal (1) a process of "evolution in situ," whereby a more sophisticated dPAG ego defense is seen evolving out of a more primitive dPAG motor defense, (2) a dPAG location for the phylogenetically ancient kernel of Freud's Ego and Id, and (3) a Conscious Id theory that has been conclusively invalidated.
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Affiliation(s)
- Paul J. Schwartz
- Section on Ego Mechanics, Cincinnati Psychoanalytic Institute, Cincinnati, OH, United States
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4
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Roberts AC, Mulvihill KG. Multiple faces of anxiety: a frontal lobe perspective. Trends Neurosci 2024; 47:708-721. [PMID: 39127569 DOI: 10.1016/j.tins.2024.07.001] [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: 03/27/2024] [Revised: 06/20/2024] [Accepted: 07/11/2024] [Indexed: 08/12/2024]
Abstract
Marked dysregulation of the human prefrontal cortex (PFC) and anterior cingulate cortex (ACC) characterises a variety of anxiety disorders, and its amelioration is a key feature of treatment success. Overall treatment response, however, is highly variable, and about a third of patients are resistant to treatment. In this review we hypothesise that a major contributor to this variation in treatment response are the multiple faces of anxiety induced by distinct forms of frontal cortex dysregulation. Comparison of findings from humans and non-human primates reveals marked similarity in the functional organisation of threat regulation across the frontal lobes. This organisation is discussed in relation to the 'predatory imminence continuum' model of threat and the differential engagement of executive functions at the core of both emotion generation and regulation strategies.
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Affiliation(s)
- Angela C Roberts
- Department of Physiology, Development, and Neuroscience, University of Cambridge, Cambridge, UK.
| | - Kevin G Mulvihill
- Department of Physiology, Development, and Neuroscience, University of Cambridge, Cambridge, UK.
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5
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Nusslock R, Alloy LB, Brody GH, Miller GE. Annual Research Review: Neuroimmune network model of depression: a developmental perspective. J Child Psychol Psychiatry 2024; 65:538-567. [PMID: 38426610 PMCID: PMC11090270 DOI: 10.1111/jcpp.13961] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/18/2024] [Indexed: 03/02/2024]
Abstract
Depression is a serious public health problem, and adolescence is an 'age of risk' for the onset of Major Depressive Disorder. Recently, we and others have proposed neuroimmune network models that highlight bidirectional communication between the brain and the immune system in both mental and physical health, including depression. These models draw on research indicating that the cellular actors (particularly monocytes) and signaling molecules (particularly cytokines) that orchestrate inflammation in the periphery can directly modulate the structure and function of the brain. In the brain, inflammatory activity heightens sensitivity to threats in the cortico-amygdala circuit, lowers sensitivity to rewards in the cortico-striatal circuit, and alters executive control and emotion regulation in the prefrontal cortex. When dysregulated, and particularly under conditions of chronic stress, inflammation can generate feelings of dysphoria, distress, and anhedonia. This is proposed to initiate unhealthy, self-medicating behaviors (e.g. substance use, poor diet) to manage the dysphoria, which further heighten inflammation. Over time, dysregulation in these brain circuits and the inflammatory response may compound each other to form a positive feedback loop, whereby dysregulation in one organ system exacerbates the other. We and others suggest that this neuroimmune dysregulation is a dynamic joint vulnerability for depression, particularly during adolescence. We have three goals for the present paper. First, we extend neuroimmune network models of mental and physical health to generate a developmental framework of risk for the onset of depression during adolescence. Second, we examine how a neuroimmune network perspective can help explain the high rates of comorbidity between depression and other psychiatric disorders across development, and multimorbidity between depression and stress-related medical illnesses. Finally, we consider how identifying neuroimmune pathways to depression can facilitate a 'next generation' of behavioral and biological interventions that target neuroimmune signaling to treat, and ideally prevent, depression in youth and adolescents.
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Affiliation(s)
- Robin Nusslock
- Department of Psychology, Northwestern University, Evanston IL, USA
- Institute for Policy Research, Northwestern University, Evanston IL, USA
| | - Lauren B. Alloy
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA. USA
| | - Gene H. Brody
- Center for Family Research, University of Georgia, Athens GA, USA
| | - Gregory E. Miller
- Department of Psychology, Northwestern University, Evanston IL, USA
- Institute for Policy Research, Northwestern University, Evanston IL, USA
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6
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Burrows CA, Lasch C, Gross J, Girault JB, Rutsohn J, Wolff JJ, Swanson MR, Lee CM, Dager SR, Cornea E, Stephens R, Styner M, John TS, Pandey J, Deva M, Botteron KN, Estes AM, Hazlett HC, Pruett JR, Schultz RT, Zwaigenbaum L, Gilmore JH, Shen MD, Piven J, Elison JT. Associations between early trajectories of amygdala development and later school-age anxiety in two longitudinal samples. Dev Cogn Neurosci 2024; 65:101333. [PMID: 38154378 PMCID: PMC10792190 DOI: 10.1016/j.dcn.2023.101333] [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: 06/13/2023] [Revised: 12/18/2023] [Accepted: 12/19/2023] [Indexed: 12/30/2023] Open
Abstract
Amygdala function is implicated in the pathogenesis of autism spectrum disorder (ASD) and anxiety. We investigated associations between early trajectories of amygdala growth and anxiety and ASD outcomes at school age in two longitudinal studies: high- and low-familial likelihood for ASD, Infant Brain Imaging Study (IBIS, n = 257) and typically developing (TD) community sample, Early Brain Development Study (EBDS, n = 158). Infants underwent MRI scanning at up to 3 timepoints from neonate to 24 months. Anxiety was assessed at 6-12 years. Linear multilevel modeling tested whether amygdala volume growth was associated with anxiety symptoms at school age. In the IBIS sample, children with higher anxiety showed accelerated amygdala growth from 6 to 24 months. ASD diagnosis and ASD familial likelihood were not significant predictors. In the EBDS sample, amygdala growth from birth to 24 months was associated with anxiety. More anxious children had smaller amygdala volume and slower rates of amygdala growth. We explore reasons for the contrasting results between high-familial likelihood for ASD and TD samples, grounding results in the broader literature of variable associations between early amygdala volume and later anxiety. Results have the potential to identify mechanisms linking early amygdala growth to later anxiety in certain groups.
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Affiliation(s)
| | - Carolyn Lasch
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - Julia Gross
- Carolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Jessica B Girault
- Carolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Joshua Rutsohn
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jason J Wolff
- Department of Educational Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Meghan R Swanson
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA
| | - Chimei M Lee
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Stephen R Dager
- Deptartment of Radiology, University of Washington Medical Center, Seattle, WA, USA
| | - Emil Cornea
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Rebecca Stephens
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Martin Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Tanya St John
- University of Washington Autism Center, University of Washington, Seattle, WA, USA
| | - Juhi Pandey
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Meera Deva
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Kelly N Botteron
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Annette M Estes
- University of Washington Autism Center, University of Washington, Seattle, WA, USA; Deptartment of Speech and Hearing Science, University of Washington, Seattle, WA, USA
| | - Heather C Hazlett
- Carolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - John R Pruett
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Robert T Schultz
- Center for Autism Research, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - John H Gilmore
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Mark D Shen
- Carolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA; Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities and Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Jed T Elison
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA; Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
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7
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Amaral DG, Andrews DS, Nordahl CW. Structural Brain Imaging Biomarkers of Autism Spectrum Disorder. ADVANCES IN NEUROBIOLOGY 2024; 40:491-509. [PMID: 39562455 DOI: 10.1007/978-3-031-69491-2_17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2024]
Abstract
Since the early 1990s, there have literally been thousands of reports related to magnetic resonance imaging of the autistic brain. The goals of these studies have ranged from identifying the earliest biological predictors of an autistic diagnosis to determining brain systems most altered in autistic individuals. Some of the later works attempt to use distinct patterns of brain alterations to help define more homogenous subtypes of autism. Far less work has been done to identify brain changes that are associated with therapeutic interventions. In this chapter, we will touch on all of these efforts as they relate to the general topic of the usefulness of brain imaging as a biomarker of autism.
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Affiliation(s)
- David G Amaral
- The Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and the Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California Davis, Sacramento, CA, USA.
| | - Derek Sayre Andrews
- The Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and the Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California Davis, Sacramento, CA, USA
| | - Christine Wu Nordahl
- The Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and the Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California Davis, Sacramento, CA, USA
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8
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Abend R. Understanding anxiety symptoms as aberrant defensive responding along the threat imminence continuum. Neurosci Biobehav Rev 2023; 152:105305. [PMID: 37414377 PMCID: PMC10528507 DOI: 10.1016/j.neubiorev.2023.105305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 06/22/2023] [Accepted: 07/03/2023] [Indexed: 07/08/2023]
Abstract
Threat-anticipatory defensive responses have evolved to promote survival in a dynamic world. While inherently adaptive, aberrant expression of defensive responses to potential threat could manifest as pathological anxiety, which is prevalent, impairing, and associated with adverse outcomes. Extensive translational neuroscience research indicates that normative defensive responses are organized by threat imminence, such that distinct response patterns are observed in each phase of threat encounter and orchestrated by partially conserved neural circuitry. Anxiety symptoms, such as excessive and pervasive worry, physiological arousal, and avoidance behavior, may reflect aberrant expression of otherwise normative defensive responses, and therefore follow the same imminence-based organization. Here, empirical evidence linking aberrant expression of specific, imminence-dependent defensive responding to distinct anxiety symptoms is reviewed, and plausible contributing neural circuitry is highlighted. Drawing from translational and clinical research, the proposed framework informs our understanding of pathological anxiety by grounding anxiety symptoms in conserved psychobiological mechanisms. Potential implications for research and treatment are discussed.
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Affiliation(s)
- Rany Abend
- School of Psychology, Reichman University, P.O. Box 167, Herzliya 4610101, Israel; Section on Development and Affective Neuroscience, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
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9
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Chavanne AV, Paillère Martinot ML, Penttilä J, Grimmer Y, Conrod P, Stringaris A, van Noort B, Isensee C, Becker A, Banaschewski T, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Brühl R, Nees F, Papadopoulos Orfanos D, Paus T, Poustka L, Hohmann S, Millenet S, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Martinot JL, Artiges E. Anxiety onset in adolescents: a machine-learning prediction. Mol Psychiatry 2023; 28:639-646. [PMID: 36481929 PMCID: PMC9908534 DOI: 10.1038/s41380-022-01840-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 09/09/2022] [Accepted: 10/10/2022] [Indexed: 12/13/2022]
Abstract
Recent longitudinal studies in youth have reported MRI correlates of prospective anxiety symptoms during adolescence, a vulnerable period for the onset of anxiety disorders. However, their predictive value has not been established. Individual prediction through machine-learning algorithms might help bridge the gap to clinical relevance. A voting classifier with Random Forest, Support Vector Machine and Logistic Regression algorithms was used to evaluate the predictive pertinence of gray matter volumes of interest and psychometric scores in the detection of prospective clinical anxiety. Participants with clinical anxiety at age 18-23 (N = 156) were investigated at age 14 along with healthy controls (N = 424). Shapley values were extracted for in-depth interpretation of feature importance. Prospective prediction of pooled anxiety disorders relied mostly on psychometric features and achieved moderate performance (area under the receiver operating curve = 0.68), while generalized anxiety disorder (GAD) prediction achieved similar performance. MRI regional volumes did not improve the prediction performance of prospective pooled anxiety disorders with respect to psychometric features alone, but they improved the prediction performance of GAD, with the caudate and pallidum volumes being among the most contributing features. To conclude, in non-anxious 14 year old adolescents, future clinical anxiety onset 4-8 years later could be individually predicted. Psychometric features such as neuroticism, hopelessness and emotional symptoms were the main contributors to pooled anxiety disorders prediction. Neuroanatomical data, such as caudate and pallidum volume, proved valuable for GAD and should be included in prospective clinical anxiety prediction in adolescents.
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Grants
- MRF_MRF-058-0004-RG-DESRI MRF
- MR/R00465X/1 Medical Research Council
- R01 MH085772 NIMH NIH HHS
- U54 EB020403 NIBIB NIH HHS
- R56 AG058854 NIA NIH HHS
- MR/W002418/1 Medical Research Council
- MR/S020306/1 Medical Research Council
- MRF_MRF-058-0009-RG-DESR-C0759 MRF
- MR/N000390/1 Medical Research Council
- R01 DA049238 NIDA NIH HHS
- This work received support from the following sources: the European Union-funded FP6 Integrated Project IMAGEN (Reinforcement-related behaviour in normal brain function and psychopathology) (LSHM-CT- 2007-037286), the Horizon 2020 funded ERC Advanced Grant ‘STRATIFY’ (Brain network based stratification of reinforcement-related disorders) (695313), Human Brain Project (HBP SGA 2, 785907, and HBP SGA 3, 945539), the Medical Research Council Grant 'c-VEDA’ (Consortium on Vulnerability to Externalizing Disorders and Addictions) (MR/N000390/1), the National Institute of Health (NIH) (R01DA049238, A decentralized macro and micro gene-by-environment interaction analysis of substance use behavior and its brain biomarkers), the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London, the Bundesministerium für Bildung und Forschung (BMBF grants 01GS08152; 01EV0711; Forschungsnetz AERIAL 01EE1406A, 01EE1406B; Forschungsnetz IMAC- Mind 01GL1745B), the Deutsche Forschungsgemeinschaft (DFG grants SM 80/7-2, SFB 940, TRR 265, NE 1383/14-1), the Medical Research Foundation and Medical Research Council (grants MR/R00465X/1 and MR/S020306/1), the National Institutes of Health (NIH) funded ENIGMA (grants 5U54EB020403-05 and 1R56AG058854-01). Further support was provided by grants from: - the ANR (ANR-12-SAMA-0004, AAPG2019 - GeBra), the Eranet Neuron (AF12-NEUR0008-01 - WM2NA; and ANR-18-NEUR00002-01 - ADORe), the Fondation de France (00081242), the Fondation pour la Recherche Médicale (DPA20140629802), the Mission Interministérielle de Lutte-contre-les-Drogues-et-les-Conduites-Addictives (MILDECA), the Assistance-Publique-Hôpitaux-de-Paris and INSERM (interface grant), Paris Sud University IDEX 2012, the Fondation de l’Avenir (grant AP-RM-17-013), the Fédération pour la Recherche sur le Cerveau; the National Institutes of Health, Science Foundation Ireland (16/ERCD/3797), U.S.A. (Axon, Testosterone and Mental Health during Adolescence; RO1 MH085772-01A1), and by NIH Consortium grant U54 EB020403, supported by a cross-NIH alliance that funds Big Data to Knowledge Centres of Excellence. The INSERM, and the Strasbourg University and SATT CONECTUS, provided sponsorship (PI: Jean-Luc Martinot).
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Affiliation(s)
- Alice V Chavanne
- Université Paris-Saclay, Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires développementales Psychiatrie", Ecole Normale Supérieure Paris-Saclay, CNRS UMR 9010, Centre Borelli, Gif-sur-Yvette, France
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Marie Laure Paillère Martinot
- Université Paris-Saclay, Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires développementales Psychiatrie", Ecole Normale Supérieure Paris-Saclay, CNRS UMR 9010, Centre Borelli, Gif-sur-Yvette, France
- Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, AP-HP, Sorbonne Université, Paris, France
| | - Jani Penttilä
- Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic Kauppakatu 14, Lahti, Finland
| | - Yvonne Grimmer
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Patricia Conrod
- Department of Psychiatry, CHU Sainte-Justine Hospital, University of Montréal, Montreal, QC, Canada
| | | | - Betteke van Noort
- Department of Child and Adolescent Psychiatry Psychosomatics and Psychotherapy, Campus CharitéMitte, Charité-Universitätsmedizin Berlin, Charitéplatz 1, Berlin, Germany
| | - Corinna Isensee
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Andreas Becker
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131, Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, F-91191, Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, 05405, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | | | - Tomáš Paus
- Department of Psychiatry and Neuroscience, Faculty of Medicine, CHU Sainte-Justine Research Center, Population Neuroscience Laboratory, University of Montreal, Montreal, QC, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center, von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Juliane H Fröhner
- Section of Systems Neuroscience, Medical Faculty, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Section of Systems Neuroscience, Medical Faculty, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai and Department of Psychiatry and Neuroscience, Charité University Medicine, Berlin, Germany
| | - Jean-Luc Martinot
- Université Paris-Saclay, Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires développementales Psychiatrie", Ecole Normale Supérieure Paris-Saclay, CNRS UMR 9010, Centre Borelli, Gif-sur-Yvette, France.
| | - Eric Artiges
- Université Paris-Saclay, Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires développementales Psychiatrie", Ecole Normale Supérieure Paris-Saclay, CNRS UMR 9010, Centre Borelli, Gif-sur-Yvette, France
- Department of Psychiatry, EPS Barthélémy Durand, Etampes, France
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10
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Morais-Silva G, Campbell RR, Nam H, Basu M, Pagliusi M, Fox ME, Chan CS, Iñiguez SD, Ament S, Cramer N, Marin MT, Lobo MK. Molecular, Circuit, and Stress Response Characterization of Ventral Pallidum Npas1-Neurons. J Neurosci 2023; 43:405-418. [PMID: 36443000 PMCID: PMC9864552 DOI: 10.1523/jneurosci.0971-22.2022] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 10/31/2022] [Accepted: 11/12/2022] [Indexed: 11/30/2022] Open
Abstract
Altered activity of the ventral pallidum (VP) underlies disrupted motivation in stress and drug exposure. The VP is a very heterogeneous structure composed of many neuron types with distinct physiological properties and projections. Neuronal PAS 1-positive (Npas1+) VP neurons are thought to send projections to brain regions critical for motivational behavior. While Npas1+ neurons have been characterized in the globus pallidus external, there is limited information on these neurons in the VP. To address this limitation, we evaluated the projection targets of the VP Npas1+ neurons and performed RNA-sequencing on ribosome-associated mRNA from VP Npas1+ neurons to determine their molecular identity. Finally, we used a chemogenetic approach to manipulate VP Npas1+ neurons during social defeat stress (SDS) and behavioral tasks related to anxiety and motivation in Npas1-Cre mice. We used a similar approach in females using the chronic witness defeat stress (CWDS). We identified VP Npas1+ projections to the nucleus accumbens, ventral tegmental area, medial and lateral habenula, lateral hypothalamus, thalamus, medial and lateral septum, and periaqueductal gray area. VP Npas1+ neurons displayed distinct translatome representing distinct biological processes. Chemogenetic activation of hM3D(Gq) receptors in VP Npas1+ neurons increased susceptibility to a subthreshold SDS and anxiety-like behavior in the elevated plus maze and open field while the activation of hM4D(Gi) receptors in VP Npas1+ neurons enhanced resilience to chronic SDS and CWDS. Thus, the activity of VP Npas1+ neurons modulates susceptibility to social stressors and anxiety-like behavior. Our studies provide new information on VP Npas1+ neuron circuitry, molecular identity, and their role in stress response.SIGNIFICANCE STATEMENT The ventral pallidum (VP) is a structure connected to both reward-related and aversive brain centers. It is a key brain area that signals the hedonic value of natural rewards. Disruption in the VP underlies altered motivation in stress and substance use disorder. However, VP is a very heterogeneous area with multiple neuron subtypes. This study characterized the projection pattern and molecular signatures of VP Neuronal PAS 1-positive (Npas1+) neurons. We further used tools to alter receptor signaling in VP Npas1+ neurons in stress to demonstrate a role for these neurons in stress behavioral outcomes. Our studies have implications for understanding brain cell type identities and their role in brain disorders, such as depression, a serious disorder that is precipitated by stressful events.
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Affiliation(s)
- Gessynger Morais-Silva
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, Maryland 21201
- Sao Paulo State University (UNESP), School of Pharmaceutical Sciences, Laboratory of Pharmacology, Araraquara, Sao Paulo 14800903, Brazil
- Joint Graduate Program in Physiological Sciences, Federal University of São Carlos/Sao Paulo State University, CEP 13565-905, São Carlos/Araraquara, Brazil
| | - Rianne R Campbell
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, Maryland 21201
| | - Hyungwoo Nam
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, Maryland 21201
| | - Mahashweta Basu
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland 21201
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland 21201
| | - Marco Pagliusi
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, Maryland 21201
- Department of Structural and Functional Biology, State University of Campinas, SP-13083-872, Campinas, Brazil
| | - Megan E Fox
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, Maryland 21201
| | - C Savio Chan
- Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611
| | - Sergio D Iñiguez
- Department of Psychology, University of Texas at El Paso, El Paso, Texas 79902
| | - Seth Ament
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland 21201
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland 21201
| | - Nathan Cramer
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, Maryland 21201
| | - Marcelo Tadeu Marin
- Sao Paulo State University (UNESP), School of Pharmaceutical Sciences, Laboratory of Pharmacology, Araraquara, Sao Paulo 14800903, Brazil
- Joint Graduate Program in Physiological Sciences, Federal University of São Carlos/Sao Paulo State University, CEP 13565-905, São Carlos/Araraquara, Brazil
| | - Mary Kay Lobo
- Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, Maryland 21201
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11
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Minocycline Ameliorates Chronic Unpredictable Mild Stress-Induced Neuroinflammation and Abnormal mPFC-HIPP Oscillations in Mice. Mol Neurobiol 2022; 59:6874-6895. [PMID: 36048340 DOI: 10.1007/s12035-022-03018-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 08/24/2022] [Indexed: 10/14/2022]
Abstract
Stress-induced neuroinflammation is a hallmark of modern society and has been linked to various emotional disorders, including anxiety. However, how microglia-associated neuroinflammation under chronic unpredictable mild stress (CUMS) alters mitochondrial function and subsequent medial prefrontal cortex-hippocampus (mPFC-HIPP) connectivity remains obscure. We speculated that CUMS might induce neuroinflammation, which involves altered mitochondrial protein levels, blockade of neuroinflammation by a microglial modulator, minocycline, protects against CUMS-induced alterations. Mice were exposed to CUMS for 3 weeks and received minocycline (50 mg/kg) intraperitoneally for 7 consecutive days during the 3rd week of CUMS. Novelty-suppressed feeding test and contextual anxiety test assessed anxiety-like behavior. Western blotting and immunofluorescent staining were employed to evaluate levels of proteins involved in neuroinflammation and mitochondrial function. In vivo dual-site extracellular recordings of local field potential (LFP) were conducted to evaluate the oscillatory activity and brain connectivity in mPFC-HIPP circuitry. We show that CUMS results in excessive microglial activation accompanied by aberrant levels of mitochondrial proteins, such as ATP-5A and the fission protein, Drp-1, increased oxidative stress indicated by elevated levels of nitrotyrosine, and decreased Nrf-2 levels. Furthermore, CUMS causes downregulation of α1 subunit of GABAAR, vesicular GABA transporter (Vgat), and glutamine synthetase (GS), leading to impaired LFP and connectivity of the mPFC-HIPP circuitry. Strikingly, blockage of microglial activation by minocycline ameliorates CUMS-induced aberrant levels of mitochondrial and GABAergic signaling proteins and prevents CUMS-induced anxiety-like behavior in mice. To the end, the study revealed that microglia is critically involved in stress-induced neuroinflammation, which may underlie the molecular mechanism of CUMS-induced anxiety behavior.
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12
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Lebois LAM, Harnett NG, van Rooij SJH, Ely TD, Jovanovic T, Bruce SE, House SL, Ravichandran C, Dumornay NM, Finegold KE, Hill SB, Merker JB, Phillips KA, Beaudoin FL, An X, Neylan TC, Clifford GD, Linnstaedt SD, Germine LT, Rauch SL, Haran JP, Storrow AB, Lewandowski C, Musey PI, Hendry PL, Sheikh S, Jones CW, Punches BE, Swor RA, McGrath ME, Hudak LA, Pascual JL, Seamon MJ, Datner EM, Chang AM, Pearson C, Domeier RM, Rathlev NK, O’Neil BJ, Sergot P, Sanchez LD, Miller MW, Pietrzak RH, Joormann J, Barch DM, Pizzagalli DA, Sheridan JF, Smoller JW, Luna B, Harte SE, Elliott JM, Kessler RC, Koenen KC, McLean SA, Stevens JS, Ressler KJ. Persistent Dissociation and Its Neural Correlates in Predicting Outcomes After Trauma Exposure. Am J Psychiatry 2022; 179:661-672. [PMID: 35730162 PMCID: PMC9444876 DOI: 10.1176/appi.ajp.21090911] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
OBJECTIVE Dissociation, a disruption or discontinuity in psychological functioning, is often linked with worse psychiatric symptoms; however, the prognostic value of dissociation after trauma is inconsistent. Determining whether trauma-related dissociation is uniquely predictive of later outcomes would enable early identification of at-risk trauma populations. The authors conducted the largest prospective longitudinal biomarker study of persistent dissociation to date to determine its predictive capacity for adverse psychiatric outcomes following acute trauma. METHODS All data were part of the Freeze 2 data release from the Advancing Understanding of Recovery After Trauma (AURORA) study. Study participants provided self-report data about persistent derealization (N=1,464), a severe type of dissociation, and completed a functional MRI emotion reactivity task and resting-state scan 2 weeks posttrauma (N=145). Three-month follow-up reports were collected of posttraumatic stress, depression, pain, anxiety symptoms, and functional impairment. RESULTS Derealization was associated with increased ventromedial prefrontal cortex (vmPFC) activation in the emotion reactivity task and decreased resting-state vmPFC connectivity with the cerebellum and orbitofrontal cortex. In separate analyses, brain-based and self-report measures of persistent derealization at 2 weeks predicted worse 3-month posttraumatic stress symptoms, distinct from the effects of childhood maltreatment history and current posttraumatic stress symptoms. CONCLUSIONS The findings suggest that persistent derealization is both an early psychological and biological marker of worse later psychiatric outcomes. The neural correlates of trauma-related dissociation may serve as potential targets for treatment engagement to prevent posttraumatic stress disorder. These results underscore dissociation assessment as crucial following trauma exposure to identify at-risk individuals, and they highlight an unmet clinical need for tailored early interventions.
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Affiliation(s)
- Lauren A M Lebois
- Division of Depression and Anxiety, McLean Hospital, Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
| | - Nathaniel G Harnett
- Division of Depression and Anxiety, McLean Hospital, Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
| | - Sanne J H van Rooij
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, 30329, USA
| | - Timothy D Ely
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, 30329, USA
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MA, 48202, USA
| | - Steven E Bruce
- Department of Psychological Sciences, University of Missouri - St. Louis, St. Louis, MO, 63121, USA
| | - Stacey L House
- Department of Emergency Medicine, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Caitlin Ravichandran
- Division of Depression and Anxiety, McLean Hospital, Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
- Lurie Center for Autism, 1 Maguire Road, Lexington, MA, 02421, USA
| | - Nathalie M Dumornay
- Division of Depression and Anxiety, McLean Hospital, Belmont, MA, 02478, USA
| | | | - Sarah B Hill
- Department of Psychology, Northern Illinois University, DeKalb, IL, 60115, USA
| | - Julia B Merker
- Division of Depression and Anxiety, McLean Hospital, Belmont, MA, 02478, USA
| | - Karlye A Phillips
- McLean Hospital, Belmont, MA, 02478, USA
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - Francesca L Beaudoin
- Department of Emergency Medicine & Department of Health Services, Policy, and Practice, The Alpert Medical School of Brown University, Rhode Island Hospital and The Miriam Hospital, Providence, RI, 02930, USA
| | - Xinming An
- Institute for Trauma Recovery, Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27559, USA
| | - Thomas C Neylan
- Departments of Psychiatry and Neurology, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Gari D Clifford
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, 30332, USA
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, 30332, USA
| | - Sarah D Linnstaedt
- Institute for Trauma Recovery, Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27559, USA
| | - Laura T Germine
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, 02478, USA
- The Many Brains Project, Belmont, MA, 02478, USA
| | - Scott L Rauch
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, 02478, USA
- Department of Psychiatry, McLean Hospital, Belmont, MA, 02478, USA
| | - John P Haran
- Department of Emergency Medicine, University of Massachusetts Medical School, Worcester, MA, 01655, USA
| | - Alan B Storrow
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | | | - Paul I Musey
- Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Phyllis L Hendry
- Department of Emergency Medicine, University of Florida College of Medicine -Jacksonville, Jacksonville, FL, 32209, USA
| | - Sophia Sheikh
- Department of Emergency Medicine, University of Florida College of Medicine -Jacksonville, Jacksonville, FL, 32209, USA
| | - Christopher W Jones
- Department of Emergency Medicine, Cooper Medical School of Rowan University, Camden, NJ, 08103, USA
| | - Brittany E Punches
- Department of Emergency Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA
- College of Nursing, University of Cincinnati, Cincinnati, OH, 45221, USA
| | - Robert A Swor
- Department of Emergency Medicine, Oakland University William Beaumont School of Medicine, Rochester, MI, 48309, USA
| | - Meghan E McGrath
- Department of Emergency Medicine, Boston Medical Center, Boston, MA, 02118, USA
| | - Lauren A Hudak
- Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA, 30329, USA
| | - Jose L Pascual
- Department of Surgery, Department of Neurosurgery, University of Pennsylvania, Pennsylvania, PA, 19104, USA
- Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
| | - Mark J Seamon
- Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
- Department of Surgery, Division of Traumatology, Surgical Critical Care and Emergency Surgery, University of Pennsylvania, Pennsylvania, PA, 19104, USA
| | - Elizabeth M Datner
- Department of Emergency Medicine, Einstein Healthcare Network, Pennsylvania, PA, 19141, USA
- Department of Emergency Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Pennsylvania, PA, 19107, USA
| | - Anna M Chang
- Department of Emergency Medicine, Jefferson University Hospitals, Pennsylvania, PA, 19107, USA
| | - Claire Pearson
- Department of Emergency Medicine, Wayne State University, Detroit, MA, 48202, USA
| | - Robert M Domeier
- Department of Emergency Medicine, Saint Joseph Mercy Hospital, Ypsilanti, MI, 48197, USA
| | - Niels K Rathlev
- Department of Emergency Medicine, University of Massachusetts Medical School-Baystate, Springfield, MA, 01107, USA
| | - Brian J O’Neil
- Department of Emergency Medicine, Wayne State University, Detroit, MA, 48202, USA
| | - Paulina Sergot
- Department of Emergency Medicine, McGovern Medical School, University of Texas Health, Houston, TX, 77030, USA
| | - Leon D Sanchez
- Department of Emergency Medicine, Brigham and Women’s Hospital, Boston, MA, 02115, USA
- Department of Emergency Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Mark W Miller
- National Center for PTSD, Behavioral Science Division, VA Boston Healthcare System, Boston, MA, 02130, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Robert H Pietrzak
- National Center for PTSD, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, CT, 06516, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Jutta Joormann
- Department of Psychology, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Deanna M Barch
- Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Diego A Pizzagalli
- Division of Depression and Anxiety, McLean Hospital, Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
| | - John F Sheridan
- Department of Biosciences, OSU Wexner Medical Center, Columbus, OH, 43210, USA
- Institute for Behavioral Medicine Research, OSU Wexner Medical Center, Columbus, OH, 43211, USA
| | - Jordan W Smoller
- Department of Psychiatry, Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, 02114, USA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, 02142, USA
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Steven E Harte
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
- Department of Internal Medicine-Rheumatology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - James M Elliott
- Kolling Institute of Medical Research, University of Sydney, St Leonards, New South Wales, 2065, Australia
- Faculty of Medicine and Health, University of Sydney, Northern Sydney Local Health District, New South Wales, 2006, Australia
- Physical Therapy & Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60208, USA
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA, 02115, USA
| | - Karestan C Koenen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, 02115, USA
| | - Samuel A McLean
- Institute for Trauma Recovery, Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27559, USA
- Department of Emergency Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27559, USA
| | - Jennifer S Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, 30329, USA
| | - Kerry J Ressler
- Division of Depression and Anxiety, McLean Hospital, Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
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13
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Andrews DS, Aksman L, Kerns CM, Lee JK, Winder-Patel BM, Harvey DJ, Waizbard-Bartov E, Heath B, Solomon M, Rogers SJ, Altmann A, Nordahl CW, Amaral DG. Association of Amygdala Development With Different Forms of Anxiety in Autism Spectrum Disorder. Biol Psychiatry 2022; 91:977-987. [PMID: 35341582 PMCID: PMC9116934 DOI: 10.1016/j.biopsych.2022.01.016] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 01/18/2022] [Accepted: 01/22/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND The amygdala is widely implicated in both anxiety and autism spectrum disorder. However, no studies have investigated the relationship between co-occurring anxiety and longitudinal amygdala development in autism. Here, the authors characterize amygdala development across childhood in autistic children with and without traditional DSM forms of anxiety and anxieties distinctly related to autism. METHODS Longitudinal magnetic resonance imaging scans were acquired at up to four time points for 71 autistic and 55 typically developing (TD) children (∼2.5-12 years, 411 time points). Traditional DSM anxiety and anxieties distinctly related to autism were assessed at study time 4 (∼8-12 years) using a diagnostic interview tailored to autism: the Anxiety Disorders Interview Schedule-IV with the Autism Spectrum Addendum. Mixed-effects models were used to test group differences at study time 1 (3.18 years) and time 4 (11.36 years) and developmental differences (age-by-group interactions) in right and left amygdala volume between autistic children with and without DSM or autism-distinct anxieties and TD children. RESULTS Autistic children with DSM anxiety had significantly larger right amygdala volumes than TD children at both study time 1 (5.10% increase) and time 4 (6.11% increase). Autistic children with autism-distinct anxieties had significantly slower right amygdala growth than TD, autism-no anxiety, and autism-DSM anxiety groups and smaller right amygdala volumes at time 4 than the autism-no anxiety (-8.13% decrease) and autism-DSM anxiety (-12.05% decrease) groups. CONCLUSIONS Disparate amygdala volumes and developmental trajectories between DSM and autism-distinct forms of anxiety suggest different biological underpinnings for these common, co-occurring conditions in autism.
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Affiliation(s)
- Derek Sayre Andrews
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis, Davis, California.
| | - Leon Aksman
- Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Los Angeles, California,Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Connor M. Kerns
- Department of Psychology, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Joshua K. Lee
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis, Davis, California
| | - Breanna M. Winder-Patel
- MIND Institute and Department of Pediatrics, University of California Davis, Davis, California
| | - Danielle Jenine Harvey
- Division of Biostatistics, Department of Public Health Sciences, University of California Davis, Davis, California
| | - Einat Waizbard-Bartov
- MIND Institute and Department of Psychology, University of California Davis, Davis, California
| | - Brianna Heath
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis, Davis, California
| | - Marjorie Solomon
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis, Davis, California
| | - Sally J. Rogers
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis, Davis, California
| | - Andre Altmann
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Christine Wu Nordahl
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis, Davis, California
| | - David G. Amaral
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis, Davis, California
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14
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Pang Y, Zhao S, Li Z, Li N, Yu J, Zhang R, Lu F, Chen H, Wu F, Zheng W, Gao J, Yang Y, Wu H, Wang J. Enduring effect of abuse: Childhood maltreatment links to altered theory of mind network among adults. Hum Brain Mapp 2022; 43:2276-2288. [PMID: 35089635 PMCID: PMC8996351 DOI: 10.1002/hbm.25787] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 12/07/2021] [Accepted: 12/20/2021] [Indexed: 11/09/2022] Open
Abstract
Childhood maltreatment (CM) confers a great risk of maladaptive development outcomes later in life, however, the neurobiological mechanism underlying this vulnerability is still unclear. The present study aimed to investigate the long-term consequences of CM on neural connectivity while controlling for psychiatric conditions, medication, and, substance abuse. A sample including adults with (n = 40) and without CM (n = 50) completed Childhood Trauma Questionnaire (CTQ), personality questionnaires, and resting-state functional magnetic resonance imaging scan were recruited for the current study. The whole-brain functional connectivity (FC) was evaluated using an unbiased, data-driven, multivariate pattern analysis method. Relative to controls, adults with CM suffered a higher level of temperament and impulsivity and showed decreased FC between the insula and superior temporal gyrus (STG) and between inferior parietal lobule (IPL) and middle frontal gyrus, STG, and dorsal anterior cingulate cortex (dACC), while increased FC between IPL and cuneus and superior frontal gyrus (SFG) regions. The FCs of IPL with dACC and SFG were correlated with the anxious and cyclothymic temperament and attentional impulsivity. Moreover, these FCs partially mediated the relationship between CM and attentional impulsivity. Our results suggest that CM has a significant effect on the modulation of FC within theory of mind (ToM) network even decades later in adulthood, and inform a new framework to account for how CM results in the development of impulsivity. The novel findings reveal the neurobiological consequences of CM and provide new clues to the prevention and intervention strategy to reduce the risk of the development of psychopathology.
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Affiliation(s)
- Yajing Pang
- School of Electrical Engineering, Zhengzhou University, Zhengzhou, China
| | - Shanshan Zhao
- School of Electrical Engineering, Zhengzhou University, Zhengzhou, China
| | - Zhihui Li
- School of Electrical Engineering, Zhengzhou University, Zhengzhou, China
| | - Nan Li
- School of Electrical Engineering, Zhengzhou University, Zhengzhou, China
| | - Jiarui Yu
- School of Electrical Engineering, Zhengzhou University, Zhengzhou, China
| | - Rui Zhang
- School of Electrical Engineering, Zhengzhou University, Zhengzhou, China
| | - Fengmei Lu
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Heng Chen
- School of medicine, Guizhou University, Guiyang, China
| | - Fengchun Wu
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Wei Zheng
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Jingjing Gao
- School of Information and Communication Engineer, University of Electronic Science and Technology of China, Chengdu, China
| | - Yongfeng Yang
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.,Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China.,International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang, China
| | - Huawang Wu
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Jiaojian Wang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China
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15
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Kenwood MM, Kalin NH, Barbas H. The prefrontal cortex, pathological anxiety, and anxiety disorders. Neuropsychopharmacology 2022; 47:260-275. [PMID: 34400783 PMCID: PMC8617307 DOI: 10.1038/s41386-021-01109-z] [Citation(s) in RCA: 139] [Impact Index Per Article: 46.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 07/06/2021] [Accepted: 07/08/2021] [Indexed: 02/07/2023]
Abstract
Anxiety is experienced in response to threats that are distal or uncertain, involving changes in one's subjective state, autonomic responses, and behavior. Defensive and physiologic responses to threats that involve the amygdala and brainstem are conserved across species. While anxiety responses typically serve an adaptive purpose, when excessive, unregulated, and generalized, they can become maladaptive, leading to distress and avoidance of potentially threatening situations. In primates, anxiety can be regulated by the prefrontal cortex (PFC), which has expanded in evolution. This prefrontal expansion is thought to underlie primates' increased capacity to engage high-level regulatory strategies aimed at coping with and modifying the experience of anxiety. The specialized primate lateral, medial, and orbital PFC sectors are connected with association and limbic cortices, the latter of which are connected with the amygdala and brainstem autonomic structures that underlie emotional and physiological arousal. PFC pathways that interface with distinct inhibitory systems within the cortex, the amygdala, or the thalamus can regulate responses by modulating neuronal output. Within the PFC, pathways connecting cortical regions are poised to reduce noise and enhance signals for cognitive operations that regulate anxiety processing and autonomic drive. Specialized PFC pathways to the inhibitory thalamic reticular nucleus suggest a mechanism to allow passage of relevant signals from thalamus to cortex, and in the amygdala to modulate the output to autonomic structures. Disruption of specific nodes within the PFC that interface with inhibitory systems can affect the negative bias, failure to regulate autonomic arousal, and avoidance that characterize anxiety disorders.
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Affiliation(s)
- Margaux M Kenwood
- Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Neuroscience Training Program at University of Wisconsin-Madison, Madison, USA
| | - Ned H Kalin
- Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Neuroscience Training Program at University of Wisconsin-Madison, Madison, USA
- Wisconsin National Primate Center, Madison, WI, USA
| | - Helen Barbas
- Neural Systems Laboratory, Department of Health Sciences, Boston University, Boston, MA, USA.
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA.
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16
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Cross-species anxiety tests in psychiatry: pitfalls and promises. Mol Psychiatry 2022; 27:154-163. [PMID: 34561614 PMCID: PMC8960405 DOI: 10.1038/s41380-021-01299-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 08/16/2021] [Accepted: 09/08/2021] [Indexed: 11/08/2022]
Abstract
Behavioural anxiety tests in non-human animals are used for anxiolytic drug discovery, and to investigate the neurobiology of threat avoidance. Over the past decade, several of them were translated to humans with three clinically relevant goals: to assess potential efficacy of candidate treatments in healthy humans; to develop diagnostic tests or biomarkers; and to elucidate the pathophysiology of anxiety disorders. In this review, we scrutinise these promises and compare seven anxiety tests that are validated across species: five approach-avoidance conflict tests, unpredictable shock anticipation, and the social intrusion test in children. Regarding the first goal, three tests appear suitable for anxiolytic drug screening in humans. However, they have not become part of the drug development pipeline and achieving this may require independent confirmation of predictive validity and cost-effectiveness. Secondly, two tests have shown potential to measure clinically relevant individual differences, but their psychometric properties, predictive value, and clinical applicability need to be clarified. Finally, cross-species research has not yet revealed new evidence that the physiology of healthy human behaviour in anxiety tests relates to the physiology of anxiety symptoms in patients. To summarise, cross-species anxiety tests could be rendered useful for drug screening and for development of diagnostic instruments. Using these tests for aetiology research in healthy humans or animals needs to be queried and may turn out to be unrealistic.
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17
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Bas‐Hoogendam JM, Groenewold NA, Aghajani M, Freitag GF, Harrewijn A, Hilbert K, Jahanshad N, Thomopoulos SI, Thompson PM, Veltman DJ, Winkler AM, Lueken U, Pine DS, Wee NJA, Stein DJ, Agosta F, Åhs F, An I, Alberton BAV, Andreescu C, Asami T, Assaf M, Avery SN, Nicholas L, Balderston, Barber JP, Battaglia M, Bayram A, Beesdo‐Baum K, Benedetti F, Berta R, Björkstrand J, Blackford JU, Blair JR, Karina S, Blair, Boehme S, Brambilla P, Burkhouse K, Cano M, Canu E, Cardinale EM, Cardoner N, Clauss JA, Cividini C, Critchley HD, Udo, Dannlowski, Deckert J, Demiralp T, Diefenbach GJ, Domschke K, Doruyter A, Dresler T, Erhardt A, Fallgatter AJ, Fañanás L, Brandee, Feola, Filippi CA, Filippi M, Fonzo GA, Forbes EE, Fox NA, Fredrikson M, Furmark T, Ge T, Gerber AJ, Gosnell SN, Grabe HJ, Grotegerd D, Gur RE, Gur RC, Harmer CJ, Harper J, Heeren A, Hettema J, Hofmann D, Hofmann SG, Jackowski AP, Andreas, Jansen, Kaczkurkin AN, Kingsley E, Kircher T, Kosti c M, Kreifelts B, Krug A, Larsen B, Lee S, Leehr EJ, Leibenluft E, Lochner C, Maggioni E, Makovac E, Mancini M, Manfro GG, Månsson KNT, Meeten F, Michałowski J, et alBas‐Hoogendam JM, Groenewold NA, Aghajani M, Freitag GF, Harrewijn A, Hilbert K, Jahanshad N, Thomopoulos SI, Thompson PM, Veltman DJ, Winkler AM, Lueken U, Pine DS, Wee NJA, Stein DJ, Agosta F, Åhs F, An I, Alberton BAV, Andreescu C, Asami T, Assaf M, Avery SN, Nicholas L, Balderston, Barber JP, Battaglia M, Bayram A, Beesdo‐Baum K, Benedetti F, Berta R, Björkstrand J, Blackford JU, Blair JR, Karina S, Blair, Boehme S, Brambilla P, Burkhouse K, Cano M, Canu E, Cardinale EM, Cardoner N, Clauss JA, Cividini C, Critchley HD, Udo, Dannlowski, Deckert J, Demiralp T, Diefenbach GJ, Domschke K, Doruyter A, Dresler T, Erhardt A, Fallgatter AJ, Fañanás L, Brandee, Feola, Filippi CA, Filippi M, Fonzo GA, Forbes EE, Fox NA, Fredrikson M, Furmark T, Ge T, Gerber AJ, Gosnell SN, Grabe HJ, Grotegerd D, Gur RE, Gur RC, Harmer CJ, Harper J, Heeren A, Hettema J, Hofmann D, Hofmann SG, Jackowski AP, Andreas, Jansen, Kaczkurkin AN, Kingsley E, Kircher T, Kosti c M, Kreifelts B, Krug A, Larsen B, Lee S, Leehr EJ, Leibenluft E, Lochner C, Maggioni E, Makovac E, Mancini M, Manfro GG, Månsson KNT, Meeten F, Michałowski J, Milrod BL, Mühlberger A, Lilianne R, Mujica‐Parodi, Munjiza A, Mwangi B, Myers M, Igor Nenadi C, Neufang S, Nielsen JA, Oh H, Ottaviani C, Pan PM, Pantazatos SP, Martin P, Paulus, Perez‐Edgar K, Peñate W, Perino MT, Peterburs J, Pfleiderer B, Phan KL, Poletti S, Porta‐Casteràs D, Price RB, Pujol J, Andrea, Reinecke, Rivero F, Roelofs K, Rosso I, Saemann P, Salas R, Salum GA, Satterthwaite TD, Schneier F, Schruers KRJ, Schulz SM, Schwarzmeier H, Seeger FR, Smoller JW, Soares JC, Stark R, Stein MB, Straube B, Straube T, Strawn JR, Suarez‐Jimenez B, Boris, Suchan, Sylvester CM, Talati A, Tamburo E, Tükel R, Heuvel OA, Van der Auwera S, Nieuwenhuizen H, Tol M, van Velzen LS, Bort CV, Vermeiren RRJM, Visser RM, Volman I, Wannemüller A, Wendt J, Werwath KE, Westenberg PM, Wiemer J, Katharina, Wittfeld, Wu M, Yang Y, Zilverstand A, Zugman A, Zwiebel HL. ENIGMA-anxiety working group: Rationale for and organization of large-scale neuroimaging studies of anxiety disorders. Hum Brain Mapp 2022; 43:83-112. [PMID: 32618421 PMCID: PMC8805695 DOI: 10.1002/hbm.25100] [Show More Authors] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 05/09/2020] [Accepted: 06/08/2020] [Indexed: 12/11/2022] Open
Abstract
Anxiety disorders are highly prevalent and disabling but seem particularly tractable to investigation with translational neuroscience methodologies. Neuroimaging has informed our understanding of the neurobiology of anxiety disorders, but research has been limited by small sample sizes and low statistical power, as well as heterogenous imaging methodology. The ENIGMA-Anxiety Working Group has brought together researchers from around the world, in a harmonized and coordinated effort to address these challenges and generate more robust and reproducible findings. This paper elaborates on the concepts and methods informing the work of the working group to date, and describes the initial approach of the four subgroups studying generalized anxiety disorder, panic disorder, social anxiety disorder, and specific phobia. At present, the ENIGMA-Anxiety database contains information about more than 100 unique samples, from 16 countries and 59 institutes. Future directions include examining additional imaging modalities, integrating imaging and genetic data, and collaborating with other ENIGMA working groups. The ENIGMA consortium creates synergy at the intersection of global mental health and clinical neuroscience, and the ENIGMA-Anxiety Working Group extends the promise of this approach to neuroimaging research on anxiety disorders.
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Affiliation(s)
- Janna Marie Bas‐Hoogendam
- Department of Developmental and Educational PsychologyLeiden University, Institute of Psychology Leiden The Netherlands
- Department of PsychiatryLeiden University Medical Center Leiden The Netherlands
- Leiden Institute for Brain and Cognition Leiden The Netherlands
| | - Nynke A. Groenewold
- Department of Psychiatry & Mental HealthUniversity of Cape Town Cape Town South Africa
| | - Moji Aghajani
- Department of PsychiatryAmsterdam UMC / VUMC Amsterdam The Netherlands
- Department of Research & InnovationGGZ inGeest Amsterdam The Netherlands
| | - Gabrielle F. Freitag
- National Institute of Mental Health, Emotion and Development Branch Bethesda Maryland USA
| | - Anita Harrewijn
- National Institute of Mental Health, Emotion and Development Branch Bethesda Maryland USA
| | - Kevin Hilbert
- Department of PsychologyHumboldt‐Universität zu Berlin Berlin Germany
| | - Neda Jahanshad
- University of Southern California Keck School of MedicineImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute Los Angeles California USA
| | - Sophia I. Thomopoulos
- University of Southern California Keck School of MedicineImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute Los Angeles California USA
| | - Paul M. Thompson
- University of Southern California Keck School of MedicineImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute Los Angeles California USA
| | - Dick J. Veltman
- Department of PsychiatryAmsterdam UMC / VUMC Amsterdam The Netherlands
| | - Anderson M. Winkler
- National Institute of Mental Health, Emotion and Development Branch Bethesda Maryland USA
| | - Ulrike Lueken
- Department of PsychologyHumboldt‐Universität zu Berlin Berlin Germany
| | - Daniel S. Pine
- National Institute of Mental Health, Emotion and Development Branch Bethesda Maryland USA
| | - Nic J. A. Wee
- Department of PsychiatryLeiden University Medical Center Leiden The Netherlands
- Leiden Institute for Brain and Cognition Leiden The Netherlands
| | - Dan J. Stein
- Department of Psychiatry & Mental HealthUniversity of Cape Town Cape Town South Africa
- University of Cape TownSouth African MRC Unit on Risk & Resilience in Mental Disorders Cape Town South Africa
- University of Cape TownNeuroscience Institute Cape Town South Africa
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18
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Wang Q, Wang C, Deng Q, Zhan L, Tang Y, Li H, Antwi CO, Xiang A, Lv Y, Jia X, Ren J. Alterations of regional spontaneous brain activities in anxiety disorders: A meta-analysis. J Affect Disord 2022; 296:233-240. [PMID: 34619449 DOI: 10.1016/j.jad.2021.09.062] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 09/03/2021] [Accepted: 09/21/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Recent resting-state functional magnetic resonance imaging studies have provided strong evidence of abnormal regional spontaneous brain activities among anxiety-disordered patients. However, the evidence has been divergent and inconclusive. Therefore, it is necessary to perform a meta-analysis identifying a common pattern of altered regional spontaneous brain activity for anxiety disorders. METHOD Corresponding research of anxiety disorders, namely, whole-brain rs-fMRI studies that measured differences in regional homogeneity, amplitude of low-frequency fluctuations, or fractional amplitude of low-frequency fluctuations, were analyzed in this study. Overall, seven studies with 235 anxiety-disordered patients and 241 healthy controls were ultimately included in the meta-analysis. The meta-analysis was processed by seed-based d mapping. RESULTS Compared with healthy controls, patients with anxiety disorders showed significantly decreased regional spontaneous brain activities in the right putamen, the right orbital inferior frontal gyrus, and the right temporal pole. No increases in regional spontaneous brain activities were detected in patients relative to the controls. LIMITATION Limited number of available studies, only Asian samples, and insufficient information of sample characteristics. CONCLUSION The present study suggests that anxiety disorders are associated with aberrant regional brain activity in areas connected with emotion processing, which extends our understanding of anxiety disorders' pathophysiology.
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Affiliation(s)
- Qianqian Wang
- School of Teacher Education, Zhejiang Normal University, Jinhua, China; Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China
| | - Chunjie Wang
- Institute of Brain Science and Department of Psychology, School of Education, Hangzhou Normal University, Hangzhou, China
| | - Qiuyue Deng
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Linlin Zhan
- School of Western Language, Heilongjiang University, Heilongjiang, China
| | - Yingying Tang
- School of Teacher Education, Zhejiang Normal University, Jinhua, China
| | - Huayun Li
- School of Teacher Education, Zhejiang Normal University, Jinhua, China; Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China
| | - Collins Opoku Antwi
- School of Teacher Education, Zhejiang Normal University, Jinhua, China; Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China
| | - Anfeng Xiang
- The First Rehabilitation Hospital of Shanghai, Tongji University School of Medicine, Shanghai, China
| | - Yating Lv
- Institute of Brain Science and Department of Psychology, School of Education, Hangzhou Normal University, Hangzhou, China; Center for Cognition and Brain Disorders, the Affiliated Hospital, Hangzhou Normal University, Hangzhou, China
| | - Xize Jia
- School of Teacher Education, Zhejiang Normal University, Jinhua, China; Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China.
| | - Jun Ren
- School of Teacher Education, Zhejiang Normal University, Jinhua, China; Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China.
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19
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Chen C, Xiao X, Belkacem AN, Lu L, Wang X, Yi W, Li P, Wang C, Sha S, Zhao X, Ming D. Efficacy Evaluation of Neurofeedback-Based Anxiety Relief. Front Neurosci 2021; 15:758068. [PMID: 34776855 PMCID: PMC8581142 DOI: 10.3389/fnins.2021.758068] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 09/22/2021] [Indexed: 01/02/2023] Open
Abstract
Anxiety disorder is a mental illness that involves extreme fear or worry, which can alter the balance of chemicals in the brain. This change and evaluation of anxiety state are accompanied by a comprehensive treatment procedure. It is well-known that the treatment of anxiety is chiefly based on psychotherapy and drug therapy, and there is no objective standard evaluation. In this paper, the proposed method focuses on examining neural changes to explore the effect of mindfulness regulation in accordance with neurofeedback in patients with anxiety. We designed a closed neurofeedback experiment that includes three stages to adjust the psychological state of the subjects. A total of 34 subjects, 17 with anxiety disorder and 17 healthy, participated in this experiment. Through the three stages of the experiment, electroencephalography (EEG) resting state signal and mindfulness-based EEG signal were recorded. Power spectral density was selected as the evaluation index through the regulation of neurofeedback mindfulness, and repeated analysis of variance (ANOVA) method was used for statistical analysis. The findings of this study reveal that the proposed method has a positive effect on both types of subjects. After mindfulness adjustment, the power map exhibited an upward trend. The increase in the average power of gamma wave indicates the relief of anxiety. The enhancement of the wave power represents an improvement in the subjects’ mindfulness ability. At the same time, the results of ANOVA showed that P < 0.05, i.e., the difference was significant. From the aspect of neurophysiological signals, we objectively evaluated the ability of our experiment to relieve anxiety. The neurofeedback mindfulness regulation can effect on the brain activity pattern of anxiety disorder patients.
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Affiliation(s)
- Chao Chen
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.,Key Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin, China
| | - Xiaolin Xiao
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Abdelkader Nasreddine Belkacem
- Department of Computer and Network Engineering, College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Lin Lu
- Zhonghuan Information College, Tianjin University of Technology, Tianjin, China
| | - Xin Wang
- Key Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin, China
| | - Weibo Yi
- Beijing Machine and Equipment Institute, Beijing, China
| | - Penghai Li
- Key Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin, China
| | - Changming Wang
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.,Brain-Inspired Intelligence and Clinical Translational Research Center, Xuanwu Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Sha Sha
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Xixi Zhao
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Dong Ming
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
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20
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Kenwood MM, Kalin NH. Nonhuman Primate Models to Explore Mechanisms Underlying Early-Life Temperamental Anxiety. Biol Psychiatry 2021; 89:659-671. [PMID: 33229035 PMCID: PMC7952470 DOI: 10.1016/j.biopsych.2020.08.028] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 07/31/2020] [Accepted: 08/20/2020] [Indexed: 01/03/2023]
Abstract
Anxiety disorders are among the most prevalent psychiatric disorders, causing significant suffering and disability. Behavioral inhibition is a temperament that is linked to an increased risk for the later development of anxiety disorders and other stress-related psychopathology, and understanding the neural systems underlying this dispositional risk could provide insight into novel treatment targets for anxiety disorders. Nonhuman primates (NHPs) have anxiety-related temperaments that are similar to those of humans with behavioral inhibition, facilitating the design of translational models related to human psychopathology. Characterization of our NHP model of behavioral inhibition, which we term anxious temperament (AT), reveals that it is trait-like. Exploration of the neural substrates of AT in NHPs has revealed a distributed neural circuit that is linked to individual differences in AT, which includes the dorsal amygdala. AT-related metabolism in the dorsal amygdala, including the central nucleus, is stable across time and can be detected even in safe contexts, suggesting that AT has trait-like neural signatures within the brain. The use of lesioning and novel chemogenetic methods allows for mechanistic perturbation of the amygdala to determine its causal contribution to AT. Studies characterizing the molecular bases for individual differences in AT in the dorsal amygdala, which take advantage of novel methods for probing cellular and molecular systems, suggest involvement of neurotrophic systems, which point to the importance of neuroplasticity in AT. These novel methods, when used in combination with translational NHP models such as AT, promise to provide insights into the brain systems underlying the early risk for anxiety disorder development.
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21
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Brenner RG, Smyser CD, Lean RE, Kenley JK, Smyser TA, Cyr PEP, Shimony JS, Barch DM, Rogers CE. Microstructure of the Dorsal Anterior Cingulum Bundle in Very Preterm Neonates Predicts the Preterm Behavioral Phenotype at 5 Years of Age. Biol Psychiatry 2021; 89:433-442. [PMID: 32828528 PMCID: PMC8064762 DOI: 10.1016/j.biopsych.2020.06.015] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 06/15/2020] [Accepted: 06/16/2020] [Indexed: 01/10/2023]
Abstract
BACKGROUND The cingulum bundle (CB), specifically the dorsal anterior portion of the CB, plays an important role in psychiatric illnesses; however, its role during early development is unclear. This study investigated whether neonatal white matter microstructure in the CB and its subregions is associated with subsequent preterm behavioral phenotype symptoms (internalizing, inattention, and social deficits) in very preterm (VPT) children. METHODS Diffusion magnetic resonance imaging data were obtained on a 3T scanner in 138 sleeping nonsedated neonates: 55 full-term neonates (gestational age ≥ 36 weeks) and 83 VPT neonates (gestational age < 30 weeks). The CB was tracked using probabilistic tractography and split into anterior and posterior portions. When children were 5 years of age, parents (n = 80) and teachers (n = 63) of VPT children completed questionnaires of preterm behavioral phenotype symptoms. Linear regression models were used to relate measures of neonatal CB microstructure and childhood preterm behavioral phenotype symptoms (n = 56 parent report, n = 45 teacher report). RESULTS Mean diffusivity in the anterior and posterior CB was increased in VPT neonates compared with full-term neonates. Increased fractional anisotropy and decreased mean diffusivity in the right anterior CB, but not in the posterior CB, were related to increased preterm behavioral phenotype symptoms in VPT children as reported by parents and teachers. CONCLUSIONS Aberrations in the anterior portion of the right CB may underlie the early development of the preterm behavioral phenotype. This finding provides the foundation for future mechanistic and therapeutic investigations into the role of the anterior cingulum in the development of psychopathology in VPT infants.
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Affiliation(s)
- Rebecca G Brenner
- Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, Missouri; Department of Neurology, Washington University School of Medicine, St. Louis, Missouri.
| | - Christopher D Smyser
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri; Mallinckrot Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri; Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri
| | - Rachel E Lean
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Jeanette K Kenley
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri
| | - Tara A Smyser
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Peppar E P Cyr
- Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, Missouri; Department of Neurology, Washington University School of Medicine, St. Louis, Missouri
| | - Joshua S Shimony
- Mallinckrot Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Deanna M Barch
- Mallinckrot Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri; Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri; Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri
| | - Cynthia E Rogers
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri; Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
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22
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Henneghan AM, Van Dyk K, Kaufmann T, Harrison R, Gibbons C, Heijnen C, Kesler SR. Measuring Self-Reported Cancer-Related Cognitive Impairment: Recommendations From the Cancer Neuroscience Initiative Working Group. J Natl Cancer Inst 2021; 113:1625-1633. [PMID: 33638633 PMCID: PMC8849125 DOI: 10.1093/jnci/djab027] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 01/07/2021] [Accepted: 02/22/2021] [Indexed: 12/15/2022] Open
Abstract
Cancer and its treatments are associated with increased risk for cancer-related cognitive impairment (CRCI). Methods and measures used to study and assess self-reported CRCI (sr-CRCI), however, remain diverse, resulting in heterogeneity across studies. The Patient-Reported Outcomes Working Group has been formed to promote homogeneity in the methods used to study sr-CRCI. In this report, using a psychometric taxonomy, we inventory and appraise instruments used in research to measure sr-CRCI, and we consider advances in patient-reported outcome methodology. Given its psychometric properties, we recommend the Patient-Reported Outcome Measurement Information System Cognitive Function Short Form 8a for measurement of sr-CRCI in cancer patients and survivors, at a minimum, to increase scientific rigor and progress in addressing CRCI.
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Affiliation(s)
- Ashley M Henneghan
- School of Nursing, University of Texas at Austin, Austin, TX, USA,Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX, USA,Correspondence to: Ashley M. Henneghan, PhD, RN, FAAN, School of Nursing, University of Texas at Austin, 1710 Red River St, Austin TX, 78712, USA (e-mail: )
| | - Kathleen Van Dyk
- Semel Institute, Department of Psychiatry and Biobehavioral Sciences David Geffen School of Medicine, Jonsson Comprehensive Cancer Center, UCLA, Los Angeles, CA, USA
| | - Tara Kaufmann
- Department of Oncology , Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Rebecca Harrison
- Department of Neuro Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Christopher Gibbons
- Department of Symptom Research, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Cobi Heijnen
- Department of Symptom Research, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shelli R Kesler
- School of Nursing, Department of Diagnostic Medicine, Dell Medical School, University of Texas at Austin, Austin, TX, USA
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23
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Zhan Y, Wei J, Liang J, Xu X, He R, Robbins TW, Wang Z. Diagnostic Classification for Human Autism and Obsessive-Compulsive Disorder Based on Machine Learning From a Primate Genetic Model. Am J Psychiatry 2021; 178:65-76. [PMID: 32539526 DOI: 10.1176/appi.ajp.2020.19101091] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Psychiatric disorders commonly comprise comorbid symptoms, such as autism spectrum disorder (ASD), obsessive-compulsive disorder (OCD), and attention deficit hyperactivity disorder (ADHD), raising controversies over accurate diagnosis and overlap of their neural underpinnings. The authors used noninvasive neuroimaging in humans and nonhuman primates to identify neural markers associated with DSM-5 diagnoses and quantitative measures of symptom severity. METHODS Resting-state functional connectivity data obtained from both wild-type and methyl-CpG binding protein 2 (MECP2) transgenic monkeys were used to construct monkey-derived classifiers for diagnostic classification in four human data sets (ASD: Autism Brain Imaging Data Exchange [ABIDE-I], N=1,112; ABIDE-II, N=1,114; ADHD-200 sample: N=776; OCD local institutional database: N=186). Stepwise linear regression models were applied to examine associations between functional connections of monkey-derived classifiers and dimensional symptom severity of psychiatric disorders. RESULTS Nine core regions prominently distributed in frontal and temporal cortices were identified in monkeys and used as seeds to construct the monkey-derived classifier that informed diagnostic classification in human autism. This same set of core regions was useful for diagnostic classification in the OCD cohort but not the ADHD cohort. Models based on functional connections of the right ventrolateral prefrontal cortex with the left thalamus and right prefrontal polar cortex predicted communication scores of ASD patients and compulsivity scores of OCD patients, respectively. CONCLUSIONS The identified core regions may serve as a basis for building markers for ASD and OCD diagnoses, as well as measures of symptom severity. These findings may inform future development of machine-learning models for psychiatric disorders and may improve the accuracy and speed of clinical assessments.
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Affiliation(s)
- Yafeng Zhan
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai (Zhan, Wang); University of Chinese Academy of Sciences, Beijing (Zhan, Wang); School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing (Wei); Institute of Automation, Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing (Wei, Liang, He); Department of Child Health Care, Children's Hospital of Fudan University, Shanghai (Xu); Department of Psychology, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, U.K. (Robbins); Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai (Robbins); Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai (Wang); and Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China (Wang)
| | - Jianze Wei
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai (Zhan, Wang); University of Chinese Academy of Sciences, Beijing (Zhan, Wang); School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing (Wei); Institute of Automation, Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing (Wei, Liang, He); Department of Child Health Care, Children's Hospital of Fudan University, Shanghai (Xu); Department of Psychology, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, U.K. (Robbins); Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai (Robbins); Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai (Wang); and Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China (Wang)
| | - Jian Liang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai (Zhan, Wang); University of Chinese Academy of Sciences, Beijing (Zhan, Wang); School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing (Wei); Institute of Automation, Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing (Wei, Liang, He); Department of Child Health Care, Children's Hospital of Fudan University, Shanghai (Xu); Department of Psychology, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, U.K. (Robbins); Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai (Robbins); Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai (Wang); and Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China (Wang)
| | - Xiu Xu
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai (Zhan, Wang); University of Chinese Academy of Sciences, Beijing (Zhan, Wang); School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing (Wei); Institute of Automation, Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing (Wei, Liang, He); Department of Child Health Care, Children's Hospital of Fudan University, Shanghai (Xu); Department of Psychology, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, U.K. (Robbins); Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai (Robbins); Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai (Wang); and Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China (Wang)
| | - Ran He
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai (Zhan, Wang); University of Chinese Academy of Sciences, Beijing (Zhan, Wang); School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing (Wei); Institute of Automation, Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing (Wei, Liang, He); Department of Child Health Care, Children's Hospital of Fudan University, Shanghai (Xu); Department of Psychology, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, U.K. (Robbins); Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai (Robbins); Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai (Wang); and Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China (Wang)
| | - Trevor W Robbins
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai (Zhan, Wang); University of Chinese Academy of Sciences, Beijing (Zhan, Wang); School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing (Wei); Institute of Automation, Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing (Wei, Liang, He); Department of Child Health Care, Children's Hospital of Fudan University, Shanghai (Xu); Department of Psychology, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, U.K. (Robbins); Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai (Robbins); Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai (Wang); and Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China (Wang)
| | - Zheng Wang
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, Chinese Academy of Sciences, Shanghai (Zhan, Wang); University of Chinese Academy of Sciences, Beijing (Zhan, Wang); School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing (Wei); Institute of Automation, Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing (Wei, Liang, He); Department of Child Health Care, Children's Hospital of Fudan University, Shanghai (Xu); Department of Psychology, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, U.K. (Robbins); Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai (Robbins); Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology, Shanghai (Wang); and Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China (Wang)
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24
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Bliss-Moreau E, Rudebeck PH. Animal models of human mood. Neurosci Biobehav Rev 2021; 120:574-582. [PMID: 33007355 PMCID: PMC10474843 DOI: 10.1016/j.neubiorev.2020.06.024] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 06/16/2020] [Accepted: 06/17/2020] [Indexed: 11/28/2022]
Abstract
Humans' everyday experience of the world is influenced by our moods. Moods are consciously accessible affective states that extend over time that are characterized by their valence and arousal. They also likely have a long evolutionary heritage and serve as an important adaptive affective mechanism. When they become maladaptive or overly biased, pathological affective states such as depression can emerge. Despite the importance of moods for human experience, little is known about their causal neurobiological mechanisms. In humans, limitations related to methods and interpretations of the data prevent causal investigations into the origins of mood, highlighting the importance of animal models. Nonhuman primates that share key neuroanatomical, affective, and social features with humans will be essential to uncovering their foundation. Identifying and validating mood-like states in animals is, however, challenging not least because mood is a human construct requiring verbal communication. Here we outline a theoretical framework for animal models of human mood, drawing upon established psychological literature where it exists before reviewing the extant studies of non-human primate models of mood-like states.
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Affiliation(s)
- Eliza Bliss-Moreau
- Department of Psychology, California National Primate Research Center, University of California, Davis, CA, 95616, USA.
| | - Peter H Rudebeck
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
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25
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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: 42] [Impact Index Per Article: 8.4] [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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26
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Rooney S, Sah A, Unger MS, Kharitonova M, Sartori SB, Schwarzer C, Aigner L, Kettenmann H, Wolf SA, Singewald N. Neuroinflammatory alterations in trait anxiety: modulatory effects of minocycline. Transl Psychiatry 2020; 10:256. [PMID: 32732969 PMCID: PMC7393101 DOI: 10.1038/s41398-020-00942-y] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 07/07/2020] [Accepted: 07/15/2020] [Indexed: 02/04/2023] Open
Abstract
High trait anxiety is a substantial risk factor for developing anxiety disorders and depression. While neuroinflammation has been identified to contribute to stress-induced anxiety, little is known about potential dysregulation in the neuroinflammatory system of genetically determined pathological anxiety or high trait anxiety individuals. We report microglial alterations in various brain regions in a mouse model of high trait anxiety (HAB). In particular, the dentate gyrus (DG) of the hippocampus of HABs exhibited enhanced density and average cell area of Iba1+, and density of phagocytic (CD68+/Iba1+) microglia compared to normal anxiety (NAB) controls. Minocycline was used to assess the capacity of a putative microglia 'inhibitor' in modulating hyperanxiety behavior of HABs. Chronic oral minocycline indeed reduced HAB hyperanxiety, which was associated with significant decreases in Iba1+ and CD68+Iba1+ cell densities in the DG. Addressing causality, it was demonstrated that longer (10 days), but not shorter (5 days), periods of minocycline microinfusions locally into the DG of HAB reduced Iba-1+ cell density and attenuated hyperanxiety-related behavior, indicating that neuroinflammation in the DG is at least partially involved in the maintenance of pathological anxiety. The present data reveal evidence of disturbances in the microglial system of individuals with high trait anxiety. Minocycline attenuated HAB hyperanxiety, likely by modulation of microglial activity within the DG. Thus, the present data suggest that drugs with microglia-targeted anti-inflammatory properties could be promising as novel alternative or complimentary anxiolytic therapeutic approaches in specific subgroups of individuals genetically predisposed to hyperanxiety.
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Affiliation(s)
- Sinead Rooney
- Department of Pharmacology and Toxicology, Institute of Pharmacy and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innsbruck, Austria
| | - Anupam Sah
- Department of Pharmacology and Toxicology, Institute of Pharmacy and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innsbruck, Austria
| | - Michael S Unger
- Institute of Molecular Regenerative Medicine, Paracelsus Medical University, Salzburg, Austria
- Spinal Cord Injury and Tissue Regeneration Center Salzburg (SCI-TReCS), Paracelsus Medical University, Salzburg, Austria
| | - Maria Kharitonova
- Department of Pharmacology and Toxicology, Institute of Pharmacy and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innsbruck, Austria
| | - Simone B Sartori
- Department of Pharmacology and Toxicology, Institute of Pharmacy and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innsbruck, Austria
| | - Christoph Schwarzer
- Department of Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Ludwig Aigner
- Institute of Molecular Regenerative Medicine, Paracelsus Medical University, Salzburg, Austria
- Spinal Cord Injury and Tissue Regeneration Center Salzburg (SCI-TReCS), Paracelsus Medical University, Salzburg, Austria
| | - Helmut Kettenmann
- Department of Cellular Neurosciences, Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Susanne A Wolf
- Department of Cellular Neurosciences, Max Delbrück Center for Molecular Medicine, Berlin, Germany
- Department of Ophthalmology, Charité Universitätsmedizin, Berlin, Germany
| | - Nicolas Singewald
- Department of Pharmacology and Toxicology, Institute of Pharmacy and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innsbruck, Austria.
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27
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Affiliation(s)
- Ned H Kalin
- Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison
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28
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Why we need nonhuman primates to study the role of ventromedial prefrontal cortex in the regulation of threat- and reward-elicited responses. Proc Natl Acad Sci U S A 2019; 116:26297-26304. [PMID: 31871181 DOI: 10.1073/pnas.1902288116] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
The ventromedial prefrontal cortex (vmPFC) is consistently implicated in the cognitive and emotional symptoms of many psychiatric disorders, but the causal mechanisms of its involvement remain unknown. In part, this is because of the poor characterization of the disorders and their symptoms, and the focus of experimental studies in animals on subcortical (rather than cortical) dysregulation. Moreover, even in those experimental studies that have focused on the vmPFC, the preferred animal model for such research has been the rodent, in which there are marked differences in the organization of this region to that seen in humans, and thus the extent of functional homology is unclear. There is also a paucity of well-defined behavioral paradigms suitable for translating disorder-relevant findings across species. With these considerations in mind, we discuss the value of nonhuman primates (NHPs) in bridging the translational gap between human and rodent studies. We focus on recent investigations into the involvement in reward and threat processing of 2 major regions of the vmPFC, areas 25 and 32 in NHPs and their anatomical homologs, the infralimbic and prelimbic cortex, in rodents. We highlight potential similarities, but also differences between species, and consider them in light of the extent to which anatomical homology reflects functional homology, the expansion of the PFC in human and NHPs, and most importantly how they can guide future studies to improve the translatability of findings from preclinical animal studies into the clinic.
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29
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Kovner R, Oler JA, Kalin NH. Cortico-Limbic Interactions Mediate Adaptive and Maladaptive Responses Relevant to Psychopathology. Am J Psychiatry 2019; 176:987-999. [PMID: 31787014 PMCID: PMC7014786 DOI: 10.1176/appi.ajp.2019.19101064] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Cortico-limbic circuits provide a substrate for adaptive behavioral and emotional responses. However, dysfunction of these circuits can result in maladaptive responses that are associated with psychopathology. The prefrontal-limbic pathways are of particular interest because they facilitate interactions among emotion, cognition, and decision-making functions, all of which are affected in psychiatric disorders. Regulatory aspects of the prefrontal cortex (PFC) are especially relevant to human psychopathology, as the PFC, in addition to its functions, is more recent from an evolutionary perspective and is considerably more complex in human and nonhuman primates compared with other species. This review provides a neuroanatomical and functional perspective of selected regions of the limbic system, the medial temporal lobe structures-the hippocampus and amygdala as well as regions of the PFC. Beyond the specific brain regions, emphasis is placed on the structure and function of critical PFC-limbic circuits, linking alterations in the processing of information across these pathways to the pathophysiology and psychopathology of various psychiatric illnesses.
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Affiliation(s)
- Rothem Kovner
- Department of Neuroscience and Kavli Institute of Neuroscience,
Yale School of Medicine, New Haven, Conn
| | - Jonathan A. Oler
- Department of Psychiatry and HealthEmotions Research Institute,
University of Wisconsin, Madison
| | - Ned H. Kalin
- Department of Psychiatry and HealthEmotions Research Institute,
University of Wisconsin, Madison
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30
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Abstract
Regions of the prefrontal and cingulate cortices play important roles in the regulation of behaviors elicited by threat. Dissecting out their differential involvement will greatly increase our understanding of the varied etiology of symptoms of anxiety. I review evidence for altered activity within the major divisions of the prefrontal cortex, including orbitofrontal, ventrolateral, dorsolateral, and ventromedial sectors, along with the anterior cingulate cortex in patients with clinical anxiety. This review is integrated with a discussion of current knowledge about the causal role of these different prefrontal and cingulate regions in threat-elicited behaviors from experimental studies in rodents and monkeys. I highlight commonalities and inconsistencies between species and discuss the current state of our translational success in relating findings across species. Finally, I identify key issues that, if addressed, may improve that success in the future.
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Affiliation(s)
- Angela C. Roberts
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge CB2 3DY, United Kingdom;
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31
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Sartori SB, Singewald N. Novel pharmacological targets in drug development for the treatment of anxiety and anxiety-related disorders. Pharmacol Ther 2019; 204:107402. [PMID: 31470029 DOI: 10.1016/j.pharmthera.2019.107402] [Citation(s) in RCA: 121] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 08/19/2019] [Indexed: 12/24/2022]
Abstract
Current medication for anxiety disorders is suboptimal in terms of efficiency and tolerability, highlighting the need for improved drug treatments. In this review an overview of drugs being studied in different phases of clinical trials for their potential in the treatment of fear-, anxiety- and trauma-related disorders is presented. One strategy followed in drug development is refining and improving compounds interacting with existing anxiolytic drug targets, such as serotonergic and prototypical GABAergic benzodiazepines. A more innovative approach involves the search for compounds with novel mechanisms of anxiolytic action using the growing knowledge base concerning the relevant neurocircuitries and neurobiological mechanisms underlying pathological fear and anxiety. The target systems evaluated in clinical trials include glutamate, endocannabinoid and neuropeptide systems, as well as ion channels and targets derived from phytochemicals. Examples of promising novel candidates currently in clinical development for generalised anxiety disorder, social anxiety disorder, panic disorder, obsessive compulsive disorder or post-traumatic stress disorder include ketamine, riluzole, xenon with one common pharmacological action of modulation of glutamatergic neurotransmission, as well as the neurosteroid aloradine. Finally, compounds such as D-cycloserine, MDMA, L-DOPA and cannabinoids have shown efficacy in enhancing fear-extinction learning in humans. They are thus investigated in clinical trials as an augmentative strategy for speeding up and enhancing the long-term effectiveness of exposure-based psychotherapy, which could render chronic anxiolytic drug treatment dispensable for many patients. These efforts are indicative of a rekindled interest and renewed optimism in the anxiety drug discovery field, after decades of relative stagnation.
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Affiliation(s)
- Simone B Sartori
- Institute of Pharmacy, Department of Pharmacology and Toxicology, Center for Molecular Biosciences Innsbruck (CMBI), Leopold Franzens University Innsbruck, Innsbruck, Austria
| | - Nicolas Singewald
- Institute of Pharmacy, Department of Pharmacology and Toxicology, Center for Molecular Biosciences Innsbruck (CMBI), Leopold Franzens University Innsbruck, Innsbruck, Austria.
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32
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Fish AM, Nadig A, Seidlitz J, Reardon PK, Mankiw C, McDermott CL, Blumenthal JD, Clasen LS, Lalonde F, Lerch JP, Chakravarty MM, Shinohara RT, Raznahan A. Sex-biased trajectories of amygdalo-hippocampal morphology change over human development. Neuroimage 2019; 204:116122. [PMID: 31470127 PMCID: PMC7485527 DOI: 10.1016/j.neuroimage.2019.116122] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Revised: 08/08/2019] [Accepted: 08/23/2019] [Indexed: 11/25/2022] Open
Abstract
The amygdala and hippocampus are two adjacent allocortical structures implicated in sex-biased and developmentally-emergent psychopathology. However, the spatiotemporal dynamics of amygdalo-hippocampal development remain poorly understood in healthy humans. The current study defined trajectories of volume and shape change for the amygdala and hippocampus by applying a multi-atlas segmentation pipeline (MAGeT-Brain) and semi-parametric mixed-effects spline modeling to 1,529 longitudinally-acquired structural MRI brain scans from a large, single-center cohort of 792 youth (403 males, 389 females) between the ages of 5 and 25 years old. We found that amygdala and hippocampus volumes both follow curvilinear and sexually dimorphic growth trajectories. These sex-biases were particularly striking in the amygdala: males showed a significantly later and slower adolescent deceleration in volume expansion (at age 20 years) than females (age 13 years). Shape analysis localized significant hot-spots of sex-biased anatomical development in sub-regional territories overlying rostral and caudal extremes of the CA1/2 in the hippocampus, and the centromedial nuclear group of the amygdala. In both sexes, principal components analysis revealed close integration of amygdala and hippocampus shape change along two main topographically-organized axes – low vs. high areal expansion, and early vs. late growth deceleration. These results (i) bring greater resolution to our spatiotemporal understanding of amygdalo-hippocampal development in healthy males and females, and (ii) uncover focal sex-differences in the structural maturation of the brain components that may contribute to differences in behavior and psychopathology that emerge during adolescence.
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Affiliation(s)
- Ari M Fish
- Developmental Neurogenomics Unit, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, 20892, USA
| | - Ajay Nadig
- Developmental Neurogenomics Unit, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, 20892, USA
| | - Jakob Seidlitz
- Developmental Neurogenomics Unit, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, 20892, USA
| | - Paul K Reardon
- Developmental Neurogenomics Unit, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, 20892, USA
| | - Catherine Mankiw
- Developmental Neurogenomics Unit, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, 20892, USA
| | - Cassidy L McDermott
- Developmental Neurogenomics Unit, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, 20892, USA
| | - Jonathan D Blumenthal
- Developmental Neurogenomics Unit, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, 20892, USA
| | - Liv S Clasen
- Developmental Neurogenomics Unit, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, 20892, USA
| | - Francois Lalonde
- Developmental Neurogenomics Unit, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, 20892, USA
| | - Jason P Lerch
- Department of Medical Biophysics, University of Toronto, Toronto, ON, M5T 1R8, Canada; Neurosciences and Mental Health, the Hospital for Sick Children, Toronto, ON, M5T 3H7, Canada
| | - M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada, H3A OG4; Departments of Psychiatry and Biological and Biomedical Engineering, McGill University, Montreal, QC, H3A OG4, Canada
| | - Russell T Shinohara
- Department of Biostatistics, Epidemiology, and Informatics, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Armin Raznahan
- Developmental Neurogenomics Unit, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, 20892, USA.
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33
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Yue T, Li Q, Wang R, Liu Z, Guo M, Bai F, Zhang Z, Wang W, Cheng Y, Wang H. Comparison of Hospital Anxiety and Depression Scale (HADS) and Zung Self-Rating Anxiety/Depression Scale (SAS/SDS) in Evaluating Anxiety and Depression in Patients with Psoriatic Arthritis. Dermatology 2019; 236:170-178. [PMID: 31434087 DOI: 10.1159/000498848] [Citation(s) in RCA: 93] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 02/07/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND This study aimed to compare the Hospital Anxiety and Depression Scale (HADS) and the Zung Self-Rating Anxiety/Depression Scale (SAS/SDS) in evaluating anxiety and depression in psoriatic arthritis (PsA) patients. METHODS A total of 70 PsA patients were enrolled. Demographic and clinical characteristics were collected after enrollment. HADS-A and SAS were used to evaluate the anxiety of PsA patients, while HADS-D and SDS were used to evaluate the depression of PsA patients. RESULTS Similar results were observed in detecting the rate of anxiety by HADS-A and SAS (27.1 vs. 21.4%, p = 0.424), and there was no difference in classifying the severity of anxiety by HADS-A and SAS (p = 0.347). The Spearman test also disclosed that HADS-A score was positively associated with SAS score (p <0.001). The rates of depression were similar by HADS-D and SDS (27.1 vs. 40.0%; p = 0.108). However, different results were observed in grading the severity of anxiety by HADS-D and SDS (p = 0.009), and no correlation was observed between HADS-D and SDS scores (p = 0.138). The consumption of time for HADS assessment was shorter than that for SAS/SDS assessment (p < 0.001). In addition, a positive correlation of HADS-A score with patients' global assessment (PGA) (p = 0.022) and fatigue scores (p = 0.028) was discovered, and HADS-D score was positively associated with PGA score (p = 0.019). SAS or SDS score presented less correlation with clinical features of PsA patients, which illuminated that only SAS score was positively associated with duration of psoriasis (p = 0.030). CONCLUSION HADS seems to be a better option for anxiety and depression assessment than SAS/SDS in PsA patients.
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Affiliation(s)
- Tao Yue
- Department of Rheumatology, Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China,
| | - Qiting Li
- Department of Rheumatology, Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China
| | - Rongsheng Wang
- Department of Rheumatology, Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China
| | - Zhaoyi Liu
- Department of Rheumatology, Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China
| | - Mengru Guo
- Department of Rheumatology, Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China
| | - Fengmin Bai
- Department of Rheumatology, Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China
| | - Zhanming Zhang
- Department of Rheumatology, Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China
| | - Weifeng Wang
- Department of Rheumatology, Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China
| | - Yahui Cheng
- Department of Rheumatology, Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China
| | - Haijun Wang
- Department of Rheumatology, Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China
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Schumann CM, Scott JA, Lee A, Bauman MD, Amaral DG. Amygdala growth from youth to adulthood in the macaque monkey. J Comp Neurol 2019; 527:3034-3045. [PMID: 31173365 DOI: 10.1002/cne.24728] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 05/09/2019] [Accepted: 05/10/2019] [Indexed: 11/11/2022]
Abstract
Emerging evidence suggests that the human amygdala undergoes extensive growth through adolescence, coinciding with the acquisition of complex socioemotional learning. Our objective was to longitudinally map volumetric growth of the nonhuman primate amygdala in a controlled, naturalistic social environment from birth to adulthood. Magnetic resonance images were collected at five time-points in 24 male and female rhesus macaques from 6 months to adulthood at 5 years. We then compared amygdala growth to other brain regions, including newly collected isocortical gray and white matter volumes, and previously published data on the same cohort. We found that amygdala volume increases by nearly 50% from age 6 months to 5 years. This dramatic growth is in contrast to overall brain and hippocampal volume, which peak near 3 years, white matter, which slows from 3 to 5 years, and isocortical gray, which has a net decrease. Similar to isocortical gray and hippocampal volumes, amygdala volume is ~8% larger in males than females. Rate of growth does not differ by sex. Although the underlying neurobiological substrate for protracted amygdala growth into adulthood is unclear, we propose it may be due in part to the unique cellular development of immature neurons in paralaminar nucleus that mature in size and connectivity with age. Prolonged amygdala maturation raises the possibility that environmental and genetic perturbations that disrupt this trajectory may contribute to the emergence of psychiatric disorders, such as anxiety, depression, schizophrenia, and autism; all in which the amygdala is strongly implicated.
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Affiliation(s)
- Cynthia M Schumann
- Department of Psychiatry and Behavioral Sciences; and the MIND Institute, University of California, Davis School of Medicine, Sacramento, California
| | - Julia A Scott
- Department of Bioengineering, Santa Clara University, Santa Clara, California
| | - Aaron Lee
- Center for Virtual Care, University of California, Davis School of Medicine, Sacramento, California
| | - Melissa D Bauman
- Department of Psychiatry and Behavioral Sciences; and the MIND Institute, University of California, Davis School of Medicine, Sacramento, California.,California National Primate Research Center, University of California, Davis, California
| | - David G Amaral
- Department of Psychiatry and Behavioral Sciences; and the MIND Institute, University of California, Davis School of Medicine, Sacramento, California.,California National Primate Research Center, University of California, Davis, California
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35
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Hur J, Stockbridge MD, Fox AS, Shackman AJ. Dispositional negativity, cognition, and anxiety disorders: An integrative translational neuroscience framework. PROGRESS IN BRAIN RESEARCH 2019; 247:375-436. [PMID: 31196442 PMCID: PMC6578598 DOI: 10.1016/bs.pbr.2019.03.012] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
When extreme, anxiety can become debilitating. Anxiety disorders, which often first emerge early in development, are common and challenging to treat, yet the underlying mechanisms have only recently begun to come into focus. Here, we review new insights into the nature and biological bases of dispositional negativity, a fundamental dimension of childhood temperament and adult personality and a prominent risk factor for the development of pediatric and adult anxiety disorders. Converging lines of epidemiological, neurobiological, and mechanistic evidence suggest that dispositional negativity increases the likelihood of psychopathology via specific neurocognitive mechanisms, including attentional biases to threat and deficits in executive control. Collectively, these observations provide an integrative translational framework for understanding the development and maintenance of anxiety disorders in adults and youth and set the stage for developing improved intervention strategies.
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Affiliation(s)
- Juyoen Hur
- Department of Psychology, University of Maryland, College Park, MD, United States.
| | | | - Andrew S Fox
- Department of Psychology, University of California, Davis, CA, United States; California National Primate Research Center, University of California, Davis, CA, United States
| | - Alexander J Shackman
- Department of Psychology, University of Maryland, College Park, MD, United States; Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD, United States; Maryland Neuroimaging Center, University of Maryland, College Park, MD, United States.
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Fox AS, Shackman AJ. The central extended amygdala in fear and anxiety: Closing the gap between mechanistic and neuroimaging research. Neurosci Lett 2019; 693:58-67. [PMID: 29195911 PMCID: PMC5976525 DOI: 10.1016/j.neulet.2017.11.056] [Citation(s) in RCA: 141] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Revised: 09/30/2017] [Accepted: 11/26/2017] [Indexed: 12/19/2022]
Abstract
Anxiety disorders impose a staggering burden on public health, underscoring the need to develop a deeper understanding of the distributed neural circuits underlying extreme fear and anxiety. Recent work highlights the importance of the central extended amygdala, including the central nucleus of the amygdala (Ce) and neighboring bed nucleus of the stria terminalis (BST). Anatomical data indicate that the Ce and BST form a tightly interconnected unit, where different kinds of threat-relevant information can be integrated to assemble states of fear and anxiety. Neuroimaging studies show that the Ce and BST are engaged by a broad spectrum of potentially threat-relevant cues. Mechanistic work demonstrates that the Ce and BST are critically involved in organizing defensive responses to a wide range of threats. Studies in rodents have begun to reveal the specific molecules, cells, and microcircuits within the central extended amygdala that underlie signs of fear and anxiety, but the relevance of these tantalizing discoveries to human experience and disease remains unclear. Using a combination of focal perturbations and whole-brain imaging, a new generation of nonhuman primate studies is beginning to close this gap. This work opens the door to discovering the mechanisms underlying neuroimaging measures linked to pathological fear and anxiety, to understanding how the Ce and BST interact with one another and with distal brain regions to govern defensive responses to threat, and to developing improved intervention strategies.
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Affiliation(s)
- Andrew S Fox
- Department of Psychology and University of California, Davis, CA 95616, United States; California National Primate Research Center, University of California, Davis, CA 95616, United States.
| | - Alexander J Shackman
- Department of Psychology, University of Maryland, College Park, MD 20742, United States; Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD 20742, United States; Maryland Neuroimaging Center, University of Maryland,College Park, MD 20742, United States.
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Barrett LF, Satpute AB. Historical pitfalls and new directions in the neuroscience of emotion. Neurosci Lett 2019; 693:9-18. [PMID: 28756189 PMCID: PMC5785564 DOI: 10.1016/j.neulet.2017.07.045] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2017] [Revised: 07/25/2017] [Accepted: 07/25/2017] [Indexed: 12/20/2022]
Abstract
In this article, we offer a brief history summarizing the last century of neuroscientific study of emotion, highlighting dominant themes that run through various schools of thought. We then summarize the current state of the field, followed by six key points for scientific progress that are inspired by a multi-level constructivist theory of emotion.
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Affiliation(s)
- Lisa Feldman Barrett
- Department of Psychology, Northeastern University, Boston, MA, United States; Athinoula A. Martinos Center for Biomedical Imaging and Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States.
| | - Ajay B Satpute
- Departments of Psychology and Neuroscience, Pomona College, Claremont, CA, United States
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Functional Connectivity within the Primate Extended Amygdala Is Heritable and Associated with Early-Life Anxious Temperament. J Neurosci 2018; 38:7611-7621. [PMID: 30061190 DOI: 10.1523/jneurosci.0102-18.2018] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Revised: 05/23/2018] [Accepted: 07/07/2018] [Indexed: 02/08/2023] Open
Abstract
Children with an extremely inhibited, anxious temperament (AT) are at increased risk for anxiety disorders and depression. Using a rhesus monkey model of early-life AT, we previously demonstrated that metabolism in the central extended amygdala (EAc), including the central nucleus of the amygdala (Ce) and bed nucleus of the stria terminalis (BST), is associated with trait-like variation in AT. Here, we use fMRI to examine relationships between Ce-BST functional connectivity and AT in a large multigenerational family pedigree of rhesus monkeys (n = 170 females and 208 males). Results demonstrate that Ce-BST functional connectivity is heritable, accounts for a significant but modest portion of the variance in AT, and is coheritable with AT. Interestingly, Ce-BST functional connectivity and AT-related BST metabolism were not correlated and accounted for non-overlapping variance in AT. Exploratory analyses suggest that Ce-BST functional connectivity is associated with metabolism in the hypothalamus and periaqueductal gray. Together, these results suggest the importance of coordinated function within the EAc for determining individual differences in AT and metabolism in brain regions associated with its behavioral and neuroendocrine components.SIGNIFICANCE STATEMENT Anxiety disorders directly impact the lives of nearly one in five people, accounting for substantial worldwide suffering and disability. Here, we use a nonhuman primate model of anxious temperament (AT) to understand the neurobiology underlying the early-life risk to develop anxiety disorders. Leveraging the same kinds of neuroimaging measures routinely used in human studies, we demonstrate that coordinated activation between the central nucleus of the amygdala and the bed nucleus of the stria terminalis is correlated with, and coinherited with, early-life AT. Understanding how these central extended amygdala regions work together to produce extreme anxiety provides a neural target for early-life interventions with the promise of preventing lifelong disability in at-risk children.
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Walss-Bass C, Suchting R, Olvera RL, Williamson DE. Inflammatory markers as predictors of depression and anxiety in adolescents: Statistical model building with component-wise gradient boosting. J Affect Disord 2018; 234:276-281. [PMID: 29554616 PMCID: PMC5895481 DOI: 10.1016/j.jad.2018.03.006] [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: 11/01/2017] [Revised: 02/20/2018] [Accepted: 03/10/2018] [Indexed: 01/09/2023]
Abstract
BACKGROUND Immune system abnormalities have been repeatedly observed in several psychiatric disorders, including severe depression and anxiety. However, whether specific immune mediators play an early role in the etiopathogenesis of these disorders remains unknown. METHODS In a longitudinal design, component-wise gradient boosting was used to build models of depression, assessed by the Mood-Feelings Questionnaire-Child (MFQC), and anxiety, assessed by the Screen for Child Anxiety Related Emotional Disorders (SCARED) in 254 adolescents from a large set of candidate predictors, including sex, race, 39 inflammatory proteins, and the interactions between those proteins and time. Each model was reduced via backward elimination to maximize parsimony and generalizability. RESULTS Component-wise gradient boosting and model reduction found that female sex, growth- regulated oncogene (GRO), and transforming growth factor alpha (TGF-alpha) predicted depression, while female sex predicted anxiety. LIMITATIONS Differential onset of puberty as well as a lack of control for menstrual cycle may also have been responsible for differences between males and females in the present study. In addition, investigation of all possible nonlinear relationships between the predictors and the outcomes was beyond the computational capacity and scope of the present research. CONCLUSIONS This study highlights the need for novel statistical modeling to identify reliable biological predictors of aberrant psychological behavior.
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Affiliation(s)
- Consuelo Walss-Bass
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, TX USA
| | - Robert Suchting
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, TX, USA.
| | - Rene L. Olvera
- Division of Child, Adolescent and Adult Psychiatry, University of Texas Health Science Center at San Antonio, TX USA
| | - Douglas E. Williamson
- Division of Translational Neuroscience, Department of Psychiatry and Behavioral Sciences, Duke University and the Durham VA Medical Center Durham, NC USA
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Tillman RM, Stockbridge MD, Nacewicz BM, Torrisi S, Fox AS, Smith JF, Shackman AJ. Intrinsic functional connectivity of the central extended amygdala. Hum Brain Mapp 2018; 39:1291-1312. [PMID: 29235190 PMCID: PMC5807241 DOI: 10.1002/hbm.23917] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Revised: 12/03/2017] [Accepted: 12/04/2017] [Indexed: 12/16/2022] Open
Abstract
The central extended amygdala (EAc)-including the bed nucleus of the stria terminalis (BST) and central nucleus of the amygdala (Ce)-plays a critical role in triggering fear and anxiety and is implicated in the development of a range of debilitating neuropsychiatric disorders. Although it is widely believed that these disorders reflect the coordinated activity of distributed neural circuits, the functional architecture of the EAc network and the degree to which the BST and the Ce show distinct patterns of functional connectivity is unclear. Here, we used a novel combination of imaging approaches to trace the connectivity of the BST and the Ce in 130 healthy, racially diverse, community-dwelling adults. Multiband imaging, high-precision registration techniques, and spatially unsmoothed data maximized anatomical specificity. Using newly developed seed regions, whole-brain regression analyses revealed robust functional connectivity between the BST and Ce via the sublenticular extended amygdala, the ribbon of subcortical gray matter encompassing the ventral amygdalofugal pathway. Both regions displayed coupling with the ventromedial prefrontal cortex (vmPFC), midcingulate cortex (MCC), insula, and anterior hippocampus. The BST showed stronger connectivity with the thalamus, striatum, periaqueductal gray, and several prefrontal territories. The only regions showing stronger functional connectivity with the Ce were neighboring regions of the dorsal amygdala, amygdalohippocampal area, and anterior hippocampus. These observations provide a baseline against which to compare a range of special populations, inform our understanding of the role of the EAc in normal and pathological fear and anxiety, and showcase image registration techniques that are likely to be useful for researchers working with "deidentified" neuroimaging data.
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Affiliation(s)
| | - Melissa D. Stockbridge
- Department of Hearing and Speech SciencesUniversity of MarylandCollege ParkMaryland20742
| | - Brendon M. Nacewicz
- Department of PsychiatryUniversity of Wisconsin—Madison, 6001 Research Park BoulevardMadisonWisconsin53719
| | - Salvatore Torrisi
- Section on the Neurobiology of Fear and AnxietyNational Institute of Mental HealthBethesdaMaryland20892
| | - Andrew S. Fox
- Department of PsychologyUniversity of CaliforniaDavisCalifornia95616
- California National Primate Research CenterUniversity of CaliforniaDavisCalifornia95616
| | - Jason F. Smith
- Department of PsychologyUniversity of MarylandCollege ParkMaryland20742
| | - Alexander J. Shackman
- Department of PsychologyUniversity of MarylandCollege ParkMaryland20742
- Neuroscience and Cognitive Science ProgramUniversity of MarylandCollege ParkMaryland20742
- Maryland Neuroimaging CenterUniversity of MarylandCollege ParkMaryland20742
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Desmidt T, Andersson F, Brizard B, Cottier JP, Patat F, Gissot V, Belzung C, El-Hage W, Camus V. Cerebral blood flow velocity positively correlates with brain volumes in long-term remitted depression. Prog Neuropsychopharmacol Biol Psychiatry 2018; 81:243-249. [PMID: 28939189 DOI: 10.1016/j.pnpbp.2017.09.018] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Revised: 09/10/2017] [Accepted: 09/18/2017] [Indexed: 02/03/2023]
Abstract
BACKGROUND Mechanisms involved in brain changes observed in major depression have been poorly investigated in clinical populations. Changes in cerebral blood flow (CBF) have been found in depressed patients and constitute a potential mechanism by which brain volume varies in depression. We have tested the association of cerebral blood flow velocity (CBFV) as assessed with Transcranial Doppler (TCD) and cerebral blood flow (CBF) as assessed with Arterial Spin Labeling Magnetic Resonance Imaging (ASL-MRI) with Total Brain Volume (TBV) and the volume of seven subcortical regions, in currently depressed and long-term remitted patients. In addition, we have evaluated other potential confounders for the association depression/brain volume, including dimensional symptoms of depression, cardiovascular risk factors (CVRF) and antidepressants. METHODS Seventy-five individuals were recruited, divided in 3 equal groups (currently depressed, remitted individuals and healthy controls) and were submitted to clinical assessment, MRI and Transcranial Doppler. RESULTS CBFV was positively correlated with TBV, Hippocampus and Thalamus volume, but only in remitted patients, who tend to have larger brains compared to both currently depressed and controls. CVRF were negatively associated with brain volumes in the 3 groups and antidepressant use was associated with larger Thalamus. We found no association between brain volumes and CBF as assessed with ASL-MRI, anhedonia, anxiety or psychomotor retardation. DISCUSSION Greater CBFV may be a physiological mechanism by which brain is enlarged in remitted patients. Future studies should consider CBFV, CVRF and antidepressants as possible confounders for the association depression/brain volumes, especially in remitted patients.
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Affiliation(s)
- Thomas Desmidt
- CHRU de Tours, Tours, France; INSERM U930 Imagerie et Cerveau, Université François-Rabelais de Tours, Tours, France.
| | - Frédéric Andersson
- INSERM U930 Imagerie et Cerveau, Université François-Rabelais de Tours, Tours, France
| | - Bruno Brizard
- INSERM U930 Imagerie et Cerveau, Université François-Rabelais de Tours, Tours, France
| | - Jean-Philippe Cottier
- CHRU de Tours, Tours, France; INSERM U930 Imagerie et Cerveau, Université François-Rabelais de Tours, Tours, France
| | - Frédéric Patat
- INSERM U930 Imagerie et Cerveau, Université François-Rabelais de Tours, Tours, France; INSERM CIC 1415, Université François-Rabelais de Tours, Tours, France
| | - Valérie Gissot
- INSERM CIC 1415, Université François-Rabelais de Tours, Tours, France
| | - Catherine Belzung
- INSERM U930 Imagerie et Cerveau, Université François-Rabelais de Tours, Tours, France
| | - Wissam El-Hage
- CHRU de Tours, Tours, France; INSERM U930 Imagerie et Cerveau, Université François-Rabelais de Tours, Tours, France; INSERM CIC 1415, Université François-Rabelais de Tours, Tours, France
| | - Vincent Camus
- CHRU de Tours, Tours, France; INSERM U930 Imagerie et Cerveau, Université François-Rabelais de Tours, Tours, France
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Carlisi CO, Robinson OJ. The role of prefrontal-subcortical circuitry in negative bias in anxiety: Translational, developmental and treatment perspectives. Brain Neurosci Adv 2018; 2:2398212818774223. [PMID: 30167466 PMCID: PMC6097108 DOI: 10.1177/2398212818774223] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Accepted: 04/09/2018] [Indexed: 12/22/2022] Open
Abstract
Anxiety disorders are the most common cause of mental ill health in the developed world, but our understanding of symptoms and treatments is not presently grounded in knowledge of the underlying neurobiological mechanisms. In this review, we discuss accumulating work that points to a role for prefrontal-subcortical brain circuitry in driving a core psychological symptom of anxiety disorders - negative affective bias. Specifically, we point to converging work across humans and animal models, suggesting a reciprocal relationship between dorsal and ventral prefrontal-amygdala circuits in promoting and inhibiting negative bias, respectively. We discuss how the developmental trajectory of these circuits may lead to the onset of anxiety during adolescence and, moreover, how effective pharmacological and psychological treatments may serve to shift the balance of activity within this circuitry to ameliorate negative bias symptoms. Together, these findings may bring us closer to a mechanistic, neurobiological understanding of anxiety disorders and their treatment.
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Affiliation(s)
- Christina O. Carlisi
- Division of Psychology and Language Sciences, University College London, London, UK
| | - Oliver J. Robinson
- Institute of Cognitive Neuroscience, University College London, London, UK
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