1
|
Castellini G, Merola GP, Baccaredda Boy O, Pecoraro V, Bozza B, Cassioli E, Rossi E, Bessi V, Sorbi S, Nacmias B, Ricca V. Emotional dysregulation, alexithymia and neuroticism: a systematic review on the genetic basis of a subset of psychological traits. Psychiatr Genet 2023; 33:79-101. [PMID: 36729042 PMCID: PMC10158611 DOI: 10.1097/ypg.0000000000000335] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 11/24/2022] [Indexed: 02/03/2023]
Abstract
Neuroticism, alexithymia and emotion dysregulation are key traits and known risk factors for several psychiatric conditions. In this systematic review, the aim is to evaluate the genetic contribution to these psychological phenotypes. A systematic review of articles found in PubMed was conducted. Search terms included 'genetic', 'GWAS', 'neuroticism', 'alexithymia' and 'emotion dysregulation'. Risk of bias was assessed utilizing the STREGA checklist. Two hundred two papers were selected from existing literature based on the inclusion and exclusion criteria. Among these, 27 were genome-wide studies and 175 were genetic association studies. Single gene association studies focused on selected groups of genes, mostly involved in neurotransmission, with conflicting results. GWAS studies on neuroticism, on the other hand, found several relevant and replicated intergenic and intronic loci affecting the expression and regulation of crucial and well-known genes (such as DRD2 and CRHR1). Mutations in genes coding for trascriptional factors were also found to be associated with neuroticism (DCC, XKR6, TCF4, RBFOX1), as well as a noncoding regulatory RNA (LINC00461). On the other hand, little GWAS data are available on alexythima and emotional dysregulation.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | - Valentina Bessi
- Neurology Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | - Sandro Sorbi
- Neurology Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | - Benedetta Nacmias
- Neurology Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | | |
Collapse
|
2
|
Li Y, Cai H, Li X, Qian Y, Zhang C, Zhu J, Yu Y. Functional connectivity of the central autonomic and default mode networks represent neural correlates and predictors of individual personality. J Neurosci Res 2022; 100:2187-2200. [PMID: 36069656 DOI: 10.1002/jnr.25121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 08/24/2022] [Indexed: 01/07/2023]
Abstract
There is solid evidence for the prominent involvement of the central autonomic and default mode systems in shaping personality. However, whether functional connectivity of these systems can represent neural correlates and predictors of individual variation in personality traits is largely unknown. Resting-state functional magnetic resonance imaging data of 215 healthy young adults were used to construct the sympathetic (SN), parasympathetic (PN), and default mode (DMN) networks, with intra- and internetwork functional connectivity measured. Personality factors were assessed using the five-factor model. We examined the associations between personality factors and functional network connectivity, followed by performance of personality prediction based on functional connectivity using connectome-based predictive modeling (CPM), a recently developed machine learning approach. All personality factors (neuroticism, extraversion, conscientiousness, and agreeableness) other than openness were significantly correlated with intra- and internetwork functional connectivity of the SN, PN, and DMN. Moreover, the CPM models successfully predicted conscientiousness and agreeableness at the individual level using functional network connectivity. Our findings may expand existing knowledge regarding the neural substrates underlying personality.
Collapse
Affiliation(s)
- Yating Li
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Research Center of Clinical Medical Imaging, Anhui Province, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China
| | - Huanhuan Cai
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Research Center of Clinical Medical Imaging, Anhui Province, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China
| | - Xueying Li
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Research Center of Clinical Medical Imaging, Anhui Province, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China
| | - Yinfeng Qian
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Research Center of Clinical Medical Imaging, Anhui Province, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China
| | - Cun Zhang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Research Center of Clinical Medical Imaging, Anhui Province, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China
| | - Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Research Center of Clinical Medical Imaging, Anhui Province, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Research Center of Clinical Medical Imaging, Anhui Province, Hefei, China.,Anhui Provincial Institute of Translational Medicine, Hefei, China
| |
Collapse
|
3
|
Parent JH, Ciampa CJ, Harrison TM, Adams JN, Zhuang K, Betts MJ, Maass A, Winer JR, Jagust WJ, Berry AS. Locus coeruleus catecholamines link neuroticism and vulnerability to tau pathology in aging. Neuroimage 2022; 263:119658. [PMID: 36191755 PMCID: PMC10060440 DOI: 10.1016/j.neuroimage.2022.119658] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 09/19/2022] [Accepted: 09/29/2022] [Indexed: 11/19/2022] Open
Abstract
Higher neuroticism is a risk factor for Alzheimer's disease (AD), and is implicated in disordered stress responses. The locus coeruleus (LC)-catecholamine system is activated during perceived threat and is a centerpiece of developing models of the pathophysiology of AD, as it is the first brain region to develop abnormal tau. We examined relationships among the "Big 5" personality traits, LC catecholamine synthesis capacity measured with [18F]Fluoro-m-tyrosine PET, and tau burden measured with [18F]Flortaucipir PET in cognitively normal older adults (n = 47). β-amyloid (Aβ) status was determined using [11C]Pittsburgh compound B PET (n = 14 Aβ positive). Lower LC catecholamine synthesis capacity was associated with higher neuroticism, more depressive symptoms as measured by the Geriatric Depression Scale, and higher amygdala tau-PET binding. Exploratory analyses with other personality traits revealed that low trait conscientiousness was also related to both lower LC catecholamine synthesis capacity, and more depressive symptoms. A significant indirect path linked both high neuroticism and low conscientiousness to greater amygdala tau burden via their mutual association with low LC catecholamine synthesis capacity. Together, these findings reveal LC catecholamine synthesis capacity to be a promising marker of affective health and pathology burden in aging, and identifies candidate neurobiological mechanisms for the effect of personality on increased vulnerability to dementia.
Collapse
Affiliation(s)
- Jourdan H. Parent
- Department of Psychology, Brandeis University, Waltham, MA, 02453, USA
| | - Claire J. Ciampa
- Department of Psychology, Brandeis University, Waltham, MA, 02453, USA
| | - Theresa M. Harrison
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, 94720, USA
| | - Jenna N. Adams
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, 94720, USA
| | - Kailin Zhuang
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, 94720, USA
| | - Matthew J. Betts
- Institute of Cognitive Neurology and Dementia Research, Otto von Guericke University, Magdeburg, 39106, Germany
- Deutsches Zentrum für Neurodegenerative Erkrankungen, Magdeburg 39120, Germany
- Center for Behavioral Brain Sciences, University of Magdeburg, Magdeburg, Germany
| | - Anne Maass
- Deutsches Zentrum für Neurodegenerative Erkrankungen, Magdeburg 39120, Germany
| | - Joseph R. Winer
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, 94720, USA
| | - William J. Jagust
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, 94720, USA
- Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Anne S. Berry
- Department of Psychology, Brandeis University, Waltham, MA, 02453, USA
- Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| |
Collapse
|
4
|
Hollerbach P, Olderbak S, Wilhelm O, Montag C, Jung S, Neumann CS, Habermeyer E, Mokros A. Associations of the MAOA uVNTR genotype and 5-HTTLPR/rs25531 haplotype with psychopathic traits. Psychoneuroendocrinology 2021; 131:105275. [PMID: 34102427 DOI: 10.1016/j.psyneuen.2021.105275] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 04/30/2021] [Accepted: 05/13/2021] [Indexed: 12/26/2022]
Abstract
Previous studies have linked polymorphisms of the monoamine oxidase A (MAOA uVNTR) and serotonin transporter gene (5-HTTLPR) to individual differences in the expression of psychopathic traits, but findings remain inconsistent. One possible reason is that these studies have treated psychopathy as a unitary construct when there is accumulating evidence that there are variants or subtypes. We used a variable-centered and a person-centered approach by (a) examining putative genetic correlates of psychopathy across individuals and (b) comparing the frequencies of the MAOA uVNTR genotype and 5-HTTLPR/rs25531 haplotype between empirically derived subtypes of psychopathy, respectively. Notably, we included the often neglected rs25531 polymorphism, which is closely connected to the 5-HTTLPR. Based on data from male offenders and community volunteers, structural equation modeling indicated that the 5-HTTLPR/rs25531 haplotype was specifically associated with interpersonal deficits beyond the overarching psychopathy construct. Latent profile analysis revealed four clusters that were labeled non-psychopaths, sociopaths, callous-conning, and psychopaths. The low-activity variant of the 5-HTTLPR/rs25531 haplotype was significantly more frequent in the callous-conning compared to the non-psychopathic subtype. There were no effects for the MAOA uVNTR. The results illustrate that psychopathy should not be treated as a unitary construct but that there are variants with specific profiles of psychopathic traits, and that the 5-HTTLPR/rs25531 haplotype plays a role in the manifestation of interpersonal deficits from a variable-centered as well as from a person-centered view.
Collapse
Affiliation(s)
- Pia Hollerbach
- Institute for Sex Research, Sexual Medicine & Forensic Psychiatry, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Forensic Psychiatry, University Hospital of Psychiatry Zurich, Zurich, Switzerland.
| | - Sally Olderbak
- Ulm University, Institute of Psychology and Education, Ulm, Germany.
| | - Oliver Wilhelm
- Ulm University, Institute of Psychology and Education, Ulm, Germany.
| | - Christian Montag
- Ulm University, Institute of Psychology and Education, Ulm, Germany; The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, School of Life Science and Technology, Chengdu, China.
| | - Sonja Jung
- Ulm University, Institute of Psychology and Education, Ulm, Germany.
| | - Craig S Neumann
- Department of Psychology, University of North Texas, Denton, TX, USA.
| | - Elmar Habermeyer
- Department of Forensic Psychiatry, University Hospital of Psychiatry Zurich, Zurich, Switzerland.
| | - Andreas Mokros
- Department of Psychology, FernUniversität in Hagen (University of Hagen), Hagen, Germany.
| |
Collapse
|
5
|
Kibitov AO, Mazo GE. [Anhedonia in depression: neurobiological and genetic aspects]. Zh Nevrol Psikhiatr Im S S Korsakova 2021; 121:146-154. [PMID: 33834733 DOI: 10.17116/jnevro2021121031146] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Anhedonia is indeed a pathogenetically important clinical phenotype and a promising endophenotype for depressive symptoms with a very high contribution of biological and genetic factors. Neurobiological mechanisms of anhedonia are impaired functioning of the reward system of the brain, which is confirmed by many neuroimaging, genetic and experimental studies. Anhedonia has a trans-diagnoctic character and should be understood as a complex phenomenon, and it is important to correctly evaluate it within the framework of a particular research paradigm. It seems optimal to form several complementary research strategies that evaluate the most important «facets» of anhedonia, regardless of the nosological form of the disease, within the framework of one study using various methods to search for adequate biomarkers of anhedonia severity (genetic, neuroimaging, biochemical). Given the high-quality organization of such comprehensive studies based on the correct methodology of evidence-based medicine, it is likely that significant biomarker systems will be available in the near future, which, if replicated in independent samples, can be used to personalize the diagnosis and treatment of depression.
Collapse
Affiliation(s)
- A O Kibitov
- Bekhterev National Medical Research Center for Psychiatry and Neurology, St. Petersburg, Russia.,Serbsky National Medical Research Center on Psychiatry and Addictions, Moscow, Russia
| | - G E Mazo
- Bekhterev National Medical Research Center for Psychiatry and Neurology, St. Petersburg, Russia
| |
Collapse
|
6
|
The manifestation of individual differences in sensitivity to punishment during resting state is modulated by eye state. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2021; 21:144-155. [PMID: 33432544 DOI: 10.3758/s13415-020-00856-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/21/2020] [Indexed: 11/08/2022]
Abstract
Structural and functional neuroimaging studies have shown that brain areas associated with fear and anxiety (defensive system areas) are modulated by individual differences in sensitivity to punishment (SP). However, little is known about how SP is related to brain functional connectivity and the factors that modulate this relationship. In this study, we investigated whether a simple methodological manipulation, such as performing a resting state with eyes open or eyes closed, can modulate the manifestation of individual differences in SP. To this end, we performed an exploratory fMRI resting state study in which a group of participants (n = 88) performed a resting state with eyes closed and another group (n = 56) performed a resting state with eyes open. All participants completed the Sensitivity to Punishment and Sensitivity to Reward Questionnaire. Seed-based functional connectivity analyses were performed in the amygdala, hippocampus, and periaqueductal gray (PAG). Our results showed that the relationship between SP and left amygdala-precuneus and left hippocampus-precuneus functional connectivity was modulated by eye state. Moreover, in the eyes open group, SP was negatively related to the functional connectivity between the PAG and amygdala and between the PAG and left hippocampus, and it was positively related to the functional connectivity between the amygdala and hippocampus. Together, our results may suggest underlying differences in the connectivity between anxiety-related areas based on eye state, which in turn would affect the manifestation of individual differences in SP.
Collapse
|
7
|
Todeva-Radneva A, Paunova R, Kandilarova S, St Stoyanov D. The Value of Neuroimaging Techniques in the Translation and Transdiagnostic Validation of Psychiatric Diagnoses - Selective Review. Curr Top Med Chem 2021; 20:540-553. [PMID: 32003690 DOI: 10.2174/1568026620666200131095328] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 12/09/2019] [Accepted: 12/12/2019] [Indexed: 01/05/2023]
Abstract
Psychiatric diagnosis has long been perceived as more of an art than a science since its foundations lie within the observation, and the self-report of the patients themselves and objective diagnostic biomarkers are lacking. Furthermore, the diagnostic tools in use not only stray away from the conventional medical framework but also remain invalidated with evidence-based concepts. However, neuroscience, as a source of valid objective knowledge has initiated the process of a paradigm shift underlined by the main concept of psychiatric disorders being "brain disorders". It is also a bridge closing the explanatory gap among the different fields of medicine via the translation of the knowledge within a multidisciplinary framework. The contemporary neuroimaging methods, such as fMRI provide researchers with an entirely new set of tools to reform the current status quo by creating an opportunity to define and validate objective biomarkers that can be translated into clinical practice. Combining multiple neuroimaging techniques with the knowledge of the role of genetic factors, neurochemical imbalance and neuroinflammatory processes in the etiopathophysiology of psychiatric disorders is a step towards a comprehensive biological explanation of psychiatric disorders and a final differentiation of psychiatry as a well-founded medical science. In addition, the neuroscientific knowledge gained thus far suggests a necessity for directional change to exploring multidisciplinary concepts, such as multiple causality and dimensionality of psychiatric symptoms and disorders. A concomitant viewpoint transition of the notion of validity in psychiatry with a focus on an integrative validatory approach may facilitate the building of a collaborative bridge above the wall existing between the scientific fields analyzing the mind and those studying the brain.
Collapse
Affiliation(s)
- Anna Todeva-Radneva
- Department of Psychiatry and Medical Psychology and Scientific Research Institute, The Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Rositsa Paunova
- Department of Psychiatry and Medical Psychology and Scientific Research Institute, The Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Sevdalina Kandilarova
- Department of Psychiatry and Medical Psychology and Scientific Research Institute, The Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Drozdstoy St Stoyanov
- Department of Psychiatry and Medical Psychology and Scientific Research Institute, The Medical University of Plovdiv, Plovdiv, Bulgaria
| |
Collapse
|
8
|
Cai H, Zhu J, Yu Y. Robust prediction of individual personality from brain functional connectome. Soc Cogn Affect Neurosci 2020; 15:359-369. [PMID: 32248238 PMCID: PMC7235956 DOI: 10.1093/scan/nsaa044] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 03/19/2020] [Accepted: 03/24/2020] [Indexed: 01/14/2023] Open
Abstract
Neuroimaging studies have linked inter-individual variability in the brain to individualized personality traits. However, only one or several aspects of personality have been effectively predicted based on brain imaging features. The objective of this study was to construct a reliable prediction model of personality in a large sample by using connectome-based predictive modeling (CPM), a recently developed machine learning approach. High-quality resting-state functional magnetic resonance imaging data of 810 healthy young participants from the Human Connectome Project dataset were used to construct large-scale brain networks. Personality traits of the five-factor model (FFM) were assessed by the NEO Five Factor Inventory. We found that CPM successfully and reliably predicted all the FFM personality factors (agreeableness, openness, conscientiousness and neuroticism) other than extraversion in novel individuals. At the neural level, we found that the personality-associated functional networks mainly included brain regions within default mode, frontoparietal executive control, visual and cerebellar systems. Although different feature selection thresholds and parcellation strategies did not significantly influence the prediction results, some findings lost significance after controlling for confounds including age, gender, intelligence and head motion. Our finding of robust personality prediction from an individual's unique functional connectome may help advance the translation of 'brain connectivity fingerprinting' into real-world personality psychological settings.
Collapse
Affiliation(s)
- Huanhuan Cai
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| |
Collapse
|
9
|
Deng Y, Li S, Zhou R, Walter M. Neuroticism Modulates the Functional Connectivity From Amygdala to Frontal Networks in Females When Avoiding Emotional Negative Pictures. Front Behav Neurosci 2019; 13:102. [PMID: 31143106 PMCID: PMC6520632 DOI: 10.3389/fnbeh.2019.00102] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 04/25/2019] [Indexed: 12/04/2022] Open
Abstract
Amygdala activity was previously found to correlate with neuroticism as an effect of valence, but so far few studies have focused on motivational context. The network subserving altered amygdala activity has not yet been investigated although some studies showed strong effective connections with prefrontal cortex (PFC). The goal of this study was to test the modulatory role of neuroticism on the functional connectivity (FC) between amygdala and other brain regions, especially PFC, during emotion processing from motivational direction. We applied an emotional picture viewing paradigm with different motivational directions (approaching and avoiding) in a large participant sample. The results showed that neuroticism predicted the amount of amygdala FC to dorsomedial PFC (dmPFC) and middle cingulate cortex (MCC). Increased FC during negative vs. positive pictures was found primarily in low neuroticism subjects, especially during the avoid condition. This valence and motivation dependent connectivity increase were disrupted for high neurotic participants. No effect of neuroticism was found for the approach condition. We showed that neuroticism, especially in the context of passive affect regulation, may have impaired connectivity between amygdala and putative regulatory cortical networks.
Collapse
Affiliation(s)
- Yaling Deng
- Neuroscience and Intelligent Media Institute, Communication University of China, Beijing, China
| | - Shijia Li
- Key Laboratory of Brain Functional Genomics (MOE&STCSM), Shanghai Changning-ECNU Mental Health Center, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.,Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China
| | - Renlai Zhou
- Department of Psychology, School of Social and Behavior Sciences, Nanjing University, Nanjing, China
| | - Martin Walter
- Department of Psychiatry and Psychotherapy, Eberhard Karls University, Tübingen, Germany.,Max Planck Institute for Biological Cybernetics, Tübingen, Germany.,Department for Behavioral Neurology, Leibniz Institute for Neurobiology, Magdeburg, Germany.,Clinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke University, Magdeburg, Germany
| |
Collapse
|
10
|
Liu CH, Zhang GZ, Li B, Li M, Woelfer M, Walter M, Wang L. Role of inflammation in depression relapse. J Neuroinflammation 2019; 16:90. [PMID: 30995920 PMCID: PMC6472093 DOI: 10.1186/s12974-019-1475-7] [Citation(s) in RCA: 86] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Accepted: 04/01/2019] [Indexed: 12/13/2022] Open
Abstract
Major depressive disorder (MDD) is a leading cause of disability worldwide. After the first episode, patients with remitted MDD have a 60% chance of experiencing a second episode. Consideration of therapy continuation should be viewed in terms of the balance between the adverse effects of medication and the need to prevent a possible relapse. Relapse during the early stages of MDD could be prevented more efficiently by conducting individual risk assessments and providing justification for continuing therapy. Our previous work established the neuroimaging markers of relapse by comparing patients with recurrent major depressive disorder (rMDD) in depressive and remitted states. However, it is not known which of these markers are trait markers that present before initial relapse and, consequently, predict disease course. Here, we first describe how inflammation can be translated to subtype-specific clinical features and suggest how this could be used to facilitate clinical diagnosis and treatment. Next, we address the central and peripheral functional state of the immune system in patients with MDD. In addition, we emphasize the important link between the number of depressive episodes and rMDD and use neuroimaging to propose a model for the latter. Last, we address how inflammation can affect brain circuits, providing a possible mechanism for rMDD. Our review suggests a link between inflammatory processes and brain region/circuits in rMDD.
Collapse
Affiliation(s)
- Chun-Hong Liu
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese Medicine, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing, 100010, China
| | - Guang-Zhong Zhang
- Dermatological Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Bin Li
- Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Meng Li
- Clinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, 39120, Germany
| | - Marie Woelfer
- Clinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, 39120, Germany.,Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, 07102, USA
| | - Martin Walter
- Clinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, 39120, Germany.,Department of Psychiatry and Psychotherapy, University of Tuebingen, Tubeingen, 72074, Germany.,Leibniz Institute for Neurobiology, Magdeburg, 39118, Germany
| | - Lihong Wang
- Department of Psychiatry, University of Connecticut Health Center, Farmington, CT, 06030, USA.
| |
Collapse
|
11
|
Weger M, Sandi C. High anxiety trait: A vulnerable phenotype for stress-induced depression. Neurosci Biobehav Rev 2018; 87:27-37. [DOI: 10.1016/j.neubiorev.2018.01.012] [Citation(s) in RCA: 119] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Revised: 01/14/2018] [Accepted: 01/21/2018] [Indexed: 11/25/2022]
|
12
|
Gottschalk MG, Domschke K. Genetics of generalized anxiety disorder and related traits. DIALOGUES IN CLINICAL NEUROSCIENCE 2018. [PMID: 28867940 PMCID: PMC5573560 DOI: 10.31887/dcns.2017.19.2/kdomschke] [Citation(s) in RCA: 87] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
This review serves as a systematic guide to the genetics of generalized anxiety disorder (GAD) and further focuses on anxiety-relevant endophenotypes, such as pathological worry fear of uncertainty, and neuroticism. We inspect clinical genetic evidence for the familialityl heritability of GAD and cross-disorder phenotypes based on family and twin studies. Recent advances of linkage studies, genome-wide association studies, and candidate gene studies (eg, 5-HTT, 5-HT1A, MAOA, BDNF) are outlined. Functional and structural neuroimaging and neurophysiological readouts relating to peripheral stress markers and psychophysiology are further integrated, building a multilevel disease framework. We explore etiologic factors in gene-environment interaction approaches investigating childhood trauma, environmental adversity, and stressful life events in relation to selected candidate genes (5-HTT, NPSR1, COMT, MAOA, CRHR1, RGS2), Additionally, the pharmacogenetics of selective serotonin reuptake inhibitor/serotonin-norepinephrine reuptake inhibitor treatment are summarized (5-HTT, 5-HT2A, COMT, CRHR1). Finally, GAD and trait anxiety research challenges and perspectives in the field of genetics, including epigenetics, are discussed.
Collapse
Affiliation(s)
- Michael G Gottschalk
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany
| | - Katharina Domschke
- Department of Psychiatry and Psychotherapy, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| |
Collapse
|
13
|
Cao H, Harneit A, Walter H, Erk S, Braun U, Moessnang C, Geiger LS, Zang Z, Mohnke S, Heinz A, Romanczuk-Seiferth N, Mühleisen T, Mattheisen M, Witt SH, Cichon S, Nöthen MM, Rietschel M, Meyer-Lindenberg A, Tost H. The 5-HTTLPR Polymorphism Affects Network-Based Functional Connectivity in the Visual-Limbic System in Healthy Adults. Neuropsychopharmacology 2018; 43:406-414. [PMID: 28589968 PMCID: PMC5729553 DOI: 10.1038/npp.2017.121] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2017] [Revised: 04/29/2017] [Accepted: 05/16/2017] [Indexed: 01/15/2023]
Abstract
The serotonin transporter-linked polymorphic region 5-HTTLPR is a key genetic regulator of 5-HTT expression in the human brain where the short allele S has been implicated in emotion dysregulation. However, the neural mechanism underlying the association between this variant and emotion processing is still unclear. Earlier studies suggested an effect of 5-HTTLPR on amygdala activation during emotional face processing. However, this association has been questioned in recent studies employing larger sample sizes and meta-analyses. Here, we examined a sample of 223 healthy subjects with a well-established fMRI emotional face processing task to (1) re-evaluate the association between 5-HTTLPR and amygdala activation, (2) explore potential network-based functional connectivity phenotypes for associations with 5-HTTLPR, and (3) probe the reliability, behavioral significance and potential structural confounds of the identified network phenotype. Our results revealed no significant effect of 5-HTTLPR on amygdala activation (P>0.79). However, the number of S alleles was significantly correlated with functional connectivity of a visual-limbic subnetwork (PFWE=0.03). The subnetwork cluster included brain regions that are pivotal to emotion regulation such as the hippocampus, orbitofrontal cortex, anterior cingulate gyrus, fusiform gyrus, and subcortex. Notably, individuals with lower subnetwork connectivity had significantly higher emotion suppression scores (P=0.01). Further, the connectivity metrics were test-retest reliable and independent from subnetwork gray matter volume and white matter anisotropy. Our data provide evidence for a functional network-based phenotype linking genetic variation in 5-HTTLPR to emotion regulation, and suggest that further critical evaluations of the association between 5-HTTLPR and amygdala activation are warranted.
Collapse
Affiliation(s)
- Hengyi Cao
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Anais Harneit
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Universitätsmedizin Charité, Berlin, Germany
| | - Susanne Erk
- Department of Psychiatry and Psychotherapy, Universitätsmedizin Charité, Berlin, Germany
| | - Urs Braun
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Carolin Moessnang
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Lena S Geiger
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Zhenxiang Zang
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Sebastian Mohnke
- Department of Psychiatry and Psychotherapy, Universitätsmedizin Charité, Berlin, Germany
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Universitätsmedizin Charité, Berlin, Germany
| | | | - Thomas Mühleisen
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany,Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Manuel Mattheisen
- Department of Genomic Mathematics, University of Bonn, Bonn, Germany,Department of Biomedicine, University of Aarhus, Aarhus, Denmark
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Sven Cichon
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany,Department of Biomedicine, University of Basel, Basel, Switzerland,Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany,Division of Medical Genetics, University of Basel, Basel, Switzerland
| | - Markus M Nöthen
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany,Institute of Human Genetics, University of Bonn School of Medicine & University Hospital of Bonn, Bonn, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Heike Tost
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany,Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Square J5, Mannheim 68159, Germany, Tel: +49 621 1703 6510, E-mail:
| |
Collapse
|
14
|
Rahikainen AL, Majaharju S, Haukka J, Palo JU, Sajantila A. Serotonergic 5HTTLPR/rs25531 s-allele homozygosity associates with violent suicides in male citalopram users. Am J Med Genet B Neuropsychiatr Genet 2017; 174:691-700. [PMID: 28608626 DOI: 10.1002/ajmg.b.32553] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2016] [Revised: 04/13/2017] [Accepted: 05/05/2017] [Indexed: 12/27/2022]
Abstract
Depressive disorders are involved as a background factor in over 50% of suicide cases. The most widely used antidepressants today are serotonin selective reuptake inhibitors (SSRIs). However, not all users benefit from SSRI medication. Although the overall number of suicides in Finland have decreased notably during the last decade, the annual rate is still relatively high, particularly in male population. In this study, we tested the hypothesis that the genetic variants associated with decreased citalopram efficiency, 5HTTLPR/rs25531, and increased impulsive behavior, MAOA-uVNTR and HTR2B Q20*, are more frequent among citalopram users committing suicide than among the citalopram users in general. Also the effect of alcohol was evaluated. The study population comprised 349 suicide victims (184 males and 165 females). Based on the suicide method used, cases were divided into two groups; violent (88 males and 49 females) and non-violent (96 males and 116 females). The control group (284; 159 males and 125 females) consisted of citalopram users who died of causes other than suicide. We found that male citalopram users with low functioning s/s genotype of 5HTTLPR/rs25531 were in increased risk to commit violent suicide (OR 2.50, 95%CI 1.15-5.42, p = 0.020). Surprisingly, high blood alcohol concentration was observed to be a risk factor only in non-violent suicides (both males and females), but not in violent ones. No association between suicides and MAOA-uVNTR and HTR2B Q20*, which have been previously connected to violent and impulsive behavior, was detected.
Collapse
Affiliation(s)
| | - Salla Majaharju
- Metropolia University of Applied Sciences, Metropolia, Helsinki, Finland
| | - Jari Haukka
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Jukka U Palo
- Department of Forensic Medicine, University of Helsinki, Helsinki, Finland.,Forensic Genetics Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Antti Sajantila
- Department of Forensic Medicine, University of Helsinki, Helsinki, Finland
| |
Collapse
|
15
|
High levels of neuroticism are associated with decreased cortical folding of the dorsolateral prefrontal cortex. Eur Arch Psychiatry Clin Neurosci 2017; 267:579-584. [PMID: 28386766 DOI: 10.1007/s00406-017-0795-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2016] [Accepted: 03/31/2017] [Indexed: 10/19/2022]
Abstract
The personality trait neuroticism has been identified as a vulnerability factor for common psychiatric diseases and defining potential neuroanatomical markers for early recognition and prevention strategies is mandatory. Because both personality traits and cortical folding patterns are early imprinted and timely stable there is reason to hypothesize an association between neuroticism and cortical folding. Thus, to identify a putative linkage, we tested whether the degree of neuroticism is associated with local cortical folding in a sample of 109 healthy individuals using a surface-based MRI approach. Based on previous findings we additionally tested for a potential association with cortical thickness. We found a highly significant negative correlation between the degree of neuroticism and local cortical folding of the left dorsolateral prefrontal cortex (DLPFC), i.e., high levels of neuroticism were associated with low cortical folding of the left DLPFC. No association was found with cortical thickness. The present study is the first to describe a linkage between the extent of local cortical folding and the individual degree of neuroticism in healthy subjects. Because neuroticism is a vulnerability factor for common psychiatric diseases such as depression our finding indicates that alterations of DLPFC might constitute a neurobiological marker elevating risk for psychiatric burden.
Collapse
|
16
|
Gentili C, Cristea IA, Ricciardi E, Vanello N, Popita C, David D, Pietrini P. Not in one metric: Neuroticism modulates different resting state metrics within distinctive brain regions. Behav Brain Res 2017; 327:34-43. [PMID: 28342970 DOI: 10.1016/j.bbr.2017.03.031] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Revised: 01/23/2017] [Accepted: 03/21/2017] [Indexed: 12/31/2022]
Abstract
INTRODUCTION Neuroticism is a complex personality trait encompassing diverse aspects. Notably, high levels of neuroticism are related to the onset of psychiatric conditions, including anxiety and mood disorders. Personality traits are stable individual features; therefore, they can be expected to be associated with stable neurobiological features, including the Brain Resting State (RS) activity as measured by fMRI. Several metrics have been used to describe RS properties, yielding rather inconsistent results. This inconsistency could be due to the fact that different metrics portray different RS signal properties and that these properties may be differently affected by neuroticism. To explore the distinct effects of neuroticism, we assessed several distinct metrics portraying different RS properties within the same population. METHOD Neuroticism was measured in 31 healthy subjects using the Zuckerman-Kuhlman Personality Questionnaire; RS was acquired by high-resolution fMRI. Using linear regression, we examined the modulatory effects of neuroticism on RS activity, as quantified by the Amplitude of low frequency fluctuations (ALFF, fALFF), regional homogeneity (REHO), Hurst Exponent (H), global connectivity (GC) and amygdalae functional connectivity. RESULTS Neuroticism modulated the different metrics across a wide network of brain regions, including emotional regulatory, default mode and visual networks. Except for some similarities in key brain regions for emotional expression and regulation, neuroticism affected different metrics in different ways. DISCUSSION Metrics more related to the measurement of regional intrinsic brain activity (fALFF, ALFF and REHO), or that provide a parsimonious index of integrated and segregated brain activity (HE), were more broadly modulated in regions related to emotions and their regulation. Metrics related to connectivity were modulated across a wider network of areas. Overall, these results show that neuroticism affects distinct aspects of brain resting state activity. More in general, these findings indicate that a multiparametric approach may be required to obtain a more detailed characterization of the neural underpinnings of a given psychological trait.
Collapse
Affiliation(s)
- Claudio Gentili
- Department of General Psychology, University of Padua, Padua, Italy.
| | - Ioana Alina Cristea
- Department of General Psychology, University of Padua, Padua, Italy; Department of Clinical Psychology and Psychotherapy and International Institute for Advanced Studies of Psychotherapy and Applied Mental Health, University Babes-Bolyai, Cluj-Napoca, Romania
| | | | - Nicola Vanello
- Dipartimento di Ingegneria dell'Informazione, University of Pisa, Italy
| | - Cristian Popita
- Department of Radiology, The Oncology Institute "Prof. Dr. Ion Chiricuta" (IOCN), Cluj-Napoca, Romania
| | - Daniel David
- Department of Clinical Psychology and Psychotherapy and International Institute for Advanced Studies of Psychotherapy and Applied Mental Health, University Babes-Bolyai, Cluj-Napoca, Romania
| | | |
Collapse
|
17
|
Extraversion and neuroticism related to the resting-state effective connectivity of amygdala. Sci Rep 2016; 6:35484. [PMID: 27765947 PMCID: PMC5073227 DOI: 10.1038/srep35484] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Accepted: 09/30/2016] [Indexed: 12/14/2022] Open
Abstract
The amygdala plays a key role in emotion processing. Its functional connectivity with other brain regions has been extensively demonstrated to be associated with extraversion and neuroticism. However, how the amygdala affects other regions and is affected by others within these connectivity patterns associated with extraversion and neuroticism remains unclear. To address this issue, we investigated the effective connectivity of the amygdala using Granger causality analysis on the resting-state functional magnetic resonance imaging data of 70 participants. Results showed that extraversion was positively correlated with the influence from the right inferior occipital gyrus (IOG) to the left amygdala, and from the bilateral IOG to the right amygdala; such result may represent the neural correlates of social interactions in extraverts. Conversely, neuroticism was associated with an increased influence from right amygdala to right middle frontal gyrus and a decreased influence from right precuneus to right amygdala. This influence might affect the modulations of cognitive regulation function and self-referential processes in neurotic individuals. These findings highlight the importance of the causal influences of amygdala in explaining the individual differences in extraversion and neuroticism, and offer further insights into the specific neural networks underlying personality.
Collapse
|
18
|
Subgenual Cingulate-Amygdala Functional Disconnection and Vulnerability to Melancholic Depression. Neuropsychopharmacology 2016; 41:2082-90. [PMID: 26781519 PMCID: PMC4820084 DOI: 10.1038/npp.2016.8] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2015] [Revised: 01/06/2016] [Accepted: 01/12/2016] [Indexed: 11/08/2022]
Abstract
The syndromic heterogeneity of major depressive disorder (MDD) hinders understanding of the etiology of predisposing vulnerability traits and underscores the importance of identifying neurobiologically valid phenotypes. Distinctive fMRI biomarkers of vulnerability to MDD subtypes are currently lacking. This study investigated whether remitted melancholic MDD patients, who are at an elevated lifetime risk for depressive episodes, demonstrate distinctive patterns of resting-state connectivity with the subgenual cingulate cortex (SCC), known to be of core pathophysiological importance for severe and familial forms of MDD. We hypothesized that patterns of disrupted SCC connectivity would be a distinguishing feature of melancholia. A total of 63 medication-free remitted MDD (rMDD) patients (33 melancholic and 30 nonmelancholic) and 39 never-depressed healthy controls (HC) underwent resting-state fMRI scanning. SCC connectivity was investigated with closely connected bilateral a priori regions of interest (ROIs) relevant to MDD (anterior temporal, ventromedial prefrontal, dorsomedial prefrontal cortices, amygdala, hippocampus, septal region, and hypothalamus). Decreased (less positive) SCC connectivity with the right parahippocampal gyrus and left amygdala distinguished melancholic rMDD patients from the nonmelancholic rMDD and HC groups (cluster-based familywise error-corrected p⩽0.007 over individual a priori ROIs corresponding to approximate Bonferroni-corrected p⩽0.05 across all seven a priori ROIs). No areas demonstrating increased (more positive) connectivity were observed. Abnormally decreased connectivity of the SCC with the amygdala and parahippocampal gyrus distinguished melancholic from nonmelancholic rMDD. These results provide the first resting-state neural signature distinctive of melancholic rMDD and may reflect a subtype-specific primary vulnerability factor given a lack of association with the number of previous episodes.
Collapse
|
19
|
Hildebrandt A, Kiy A, Reuter M, Sommer W, Wilhelm O. Face and emotion expression processing and the serotonin transporter polymorphism 5-HTTLPR/rs22531. GENES BRAIN AND BEHAVIOR 2016; 15:453-64. [PMID: 27079569 DOI: 10.1111/gbb.12295] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2015] [Revised: 03/19/2016] [Accepted: 04/08/2016] [Indexed: 12/13/2022]
Abstract
Face cognition, including face identity and facial expression processing, is a crucial component of socio-emotional abilities, characterizing humans as highest developed social beings. However, for these trait domains molecular genetic studies investigating gene-behavior associations based on well-founded phenotype definitions are still rare. We examined the relationship between 5-HTTLPR/rs25531 polymorphisms - related to serotonin-reuptake - and the ability to perceive and recognize faces and emotional expressions in human faces. For this aim we conducted structural equation modeling on data from 230 young adults, obtained by using a comprehensive, multivariate task battery with maximal effort tasks. By additionally modeling fluid intelligence and immediate and delayed memory factors, we aimed to address the discriminant relationships of the 5-HTTLPR/rs25531 polymorphisms with socio-emotional abilities. We found a robust association between the 5-HTTLPR/rs25531 polymorphism and facial emotion perception. Carriers of two long (L) alleles outperformed carriers of one or two S alleles. Weaker associations were present for face identity perception and memory for emotional facial expressions. There was no association between the 5-HTTLPR/rs25531 polymorphism and non-social abilities, demonstrating discriminant validity of the relationships. We discuss the implications and possible neural mechanisms underlying these novel findings.
Collapse
Affiliation(s)
- A Hildebrandt
- Department of Psychology, Ernst-Moritz-Arndt-Universität Greifswald
| | - A Kiy
- Department of Psychology, Ernst-Moritz-Arndt-Universität Greifswald
| | - M Reuter
- Department of Psychology, Rheinische Friedrich-Wilhelms-Universität Bonn.,Center for Economics & Neuroscience (CENs), Laboratory of Neurogenetics, University of Bonn
| | - W Sommer
- Department of Psychology, Humboldt-Universität zu Berlin
| | - O Wilhelm
- Institute of Psychology and Education, Ulm University, Germany
| |
Collapse
|
20
|
Wang J, Qin W, Liu F, Liu B, Zhou Y, Jiang T, Yu C. Sex-specific mediation effect of the right fusiform face area volume on the association between variants in repeat length of AVPR1A RS3 and altruistic behavior in healthy adults. Hum Brain Mapp 2016; 37:2700-9. [PMID: 27027249 DOI: 10.1002/hbm.23203] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2015] [Revised: 01/26/2016] [Accepted: 03/21/2016] [Indexed: 01/03/2023] Open
Abstract
Microsatellite variants in the arginine vasopressin receptor 1A gene (AVPR1A) RS3 have been associated with normal social behaviors variation and autism spectrum disorders (ASDs) in a sex-specific manner. However, neural mechanisms underlying these associations remain largely unknown. We hypothesized that AVPR1A RS3 variants affect altruistic behavior by modulating the gray matter volume (GMV) of specific brain regions in a sex-specific manner. We investigated 278 young healthy adults using the Dictator Game to assess altruistic behavior. All subjects were genotyped and main effect of AVPR1A RS3 repeat polymorphisms and interaction of genotype-by-sex on the GMV were assessed in a voxel-wise manner. We observed that male subjects with relatively short repeats allocated less money to others and exhibited a significantly smaller GMV in the right fusiform face area (FFA) compared with male long homozygotes. In male subjects, the GMV of the right FFA exhibited a significant positive correlation with altruistic behavior. A mixed mediation and moderation analysis further revealed both a significant mediation effect of the GMV of the right FFA on the association between AVPR1A RS3 repeat polymorphisms and allocation sums and a significant moderation effect of sex (only in males) on the mediation effect. Post hoc analysis showed that the GMV of the right FFA was significantly smaller in male subjects carrying allele 426 than in non-426 carriers. These results suggest that the GMV of the right FFA may be a potential mediator whereby the genetic variants in AVPR1A RS3 affect altruistic behavior in healthy male subjects. Hum Brain Mapp 37:2700-2709, 2016. © 2016 Wiley Periodicals, Inc.
Collapse
Affiliation(s)
- Junping Wang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Wen Qin
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Feng Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Bing Liu
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Yuan Zhou
- Center for Social and Economic Behavior, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Tianzi Jiang
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Chunshui Yu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| |
Collapse
|
21
|
Dima D, Friston KJ, Stephan KE, Frangou S. Neuroticism and conscientiousness respectively constrain and facilitate short-term plasticity within the working memory neural network. Hum Brain Mapp 2015; 36:4158-63. [PMID: 26189566 PMCID: PMC4863074 DOI: 10.1002/hbm.22906] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2015] [Revised: 06/30/2015] [Accepted: 07/06/2015] [Indexed: 11/24/2022] Open
Abstract
Individual differences in cognitive efficiency, particularly in relation to working memory (WM), have been associated both with personality dimensions that reflect enduring regularities in brain configuration, and with short‐term neural plasticity, that reflects task‐related changes in brain connectivity. To elucidate the relationship of these two divergent mechanisms, we tested the hypothesis that personality dimensions, which reflect enduring aspects of brain configuration, inform about the neurobiological framework within which short‐term, task‐related plasticity, as measured by effective connectivity, can be facilitated or constrained. As WM consistently engages the dorsolateral prefrontal (DLPFC), parietal (PAR), and anterior cingulate cortex (ACC), we specified a WM network model with bidirectional, ipsilateral, and contralateral connections between these regions from a functional magnetic resonance imaging dataset obtained from 40 healthy adults while performing the 3‐back WM task. Task‐related effective connectivity changes within this network were estimated using Dynamic Causal Modelling. Personality was evaluated along the major dimensions of Neuroticism, Extraversion, Openness to Experience, Agreeableness, and Conscientiousness. Only two dimensions were relevant to task‐dependent effective connectivity. Neuroticism and Conscientiousness respectively constrained and facilitated neuroplastic responses within the WM network. These results suggest individual differences in cognitive efficiency arise from the interplay between enduring and short‐term plasticity in brain configuration. Hum Brain Mapp 36:4158–4163, 2015. © 2015 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.
Collapse
Affiliation(s)
- Danai Dima
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.,Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Karl J Friston
- Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom
| | - Klaas E Stephan
- Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom.,Translational Neuromodeling Unit, Institute of Biomedical Engineering, University of Zurich ETH, Zurich, Switzerland.,Laboratory for Social and Neural Systems Research, University of Zurich, Zurich, Switzerland
| | - Sophia Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| |
Collapse
|
22
|
Kruschwitz JD, Meyer-Lindenberg A, Veer IM, Wackerhagen C, Erk S, Mohnke S, Pöhland L, Haddad L, Grimm O, Tost H, Romanczuk-Seiferth N, Heinz A, Walter M, Walter H. Segregation of face sensitive areas within the fusiform gyrus using global signal regression? A study on amygdala resting-state functional connectivity. Hum Brain Mapp 2015; 36:4089-103. [PMID: 26178527 DOI: 10.1002/hbm.22900] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2015] [Revised: 06/11/2015] [Accepted: 07/02/2015] [Indexed: 11/06/2022] Open
Abstract
The application of global signal regression (GSR) to resting-state functional magnetic resonance imaging data and its usefulness is a widely discussed topic. In this article, we report an observation of segregated distribution of amygdala resting-state functional connectivity (rs-FC) within the fusiform gyrus (FFG) as an effect of GSR in a multi-center-sample of 276 healthy subjects. Specifically, we observed that amygdala rs-FC was distributed within the FFG as distinct anterior versus posterior clusters delineated by positive versus negative rs-FC polarity when GSR was performed. To characterize this effect in more detail, post hoc analyses revealed the following: first, direct overlays of task-functional magnetic resonance imaging derived face sensitive areas and clusters of positive versus negative amygdala rs-FC showed that the positive amygdala rs-FC cluster corresponded best with the fusiform face area, whereas the occipital face area corresponded to the negative amygdala rs-FC cluster. Second, as expected from a hierarchical face perception model, these amygdala rs-FC defined clusters showed differential rs-FC with other regions of the visual stream. Third, dynamic connectivity analyses revealed that these amygdala rs-FC defined clusters also differed in their rs-FC variance across time to the amygdala. Furthermore, subsample analyses of three independent research sites confirmed reliability of the effect of GSR, as revealed by similar patterns of distinct amygdala rs-FC polarity within the FFG. In this article, we discuss the potential of GSR to segregate face sensitive areas within the FFG and furthermore discuss how our results may relate to the functional organization of the face-perception circuit.
Collapse
Affiliation(s)
- Johann D Kruschwitz
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Department of Psychology, Technische Universität Dresden, Dresden, Germany
| | | | - Ilya M Veer
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Carolin Wackerhagen
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Susanne Erk
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Sebastian Mohnke
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Lydia Pöhland
- Division of Neuroimaging Research, Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Leila Haddad
- Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Oliver Grimm
- Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Heike Tost
- Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Nina Romanczuk-Seiferth
- Division of Neuroimaging Research, Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Andreas Heinz
- Division of Neuroimaging Research, Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Martin Walter
- Clinical Affective Neuroimaging Laboratory, Otto Von Guericke University Magdeburg, Magdeburg, Germany.,Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Henrik Walter
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| |
Collapse
|
23
|
Fisher PM, Grady CL, Madsen MK, Strother SC, Knudsen GM. 5-HTTLPR differentially predicts brain network responses to emotional faces. Hum Brain Mapp 2015; 36:2842-51. [PMID: 25929825 DOI: 10.1002/hbm.22811] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2015] [Revised: 03/16/2015] [Accepted: 04/04/2015] [Indexed: 01/17/2023] Open
Abstract
The effects of the 5-HTTLPR polymorphism on neural responses to emotionally salient faces have been studied extensively, focusing on amygdala reactivity and amygdala-prefrontal interactions. Despite compelling evidence that emotional face paradigms engage a distributed network of brain regions involved in emotion, cognitive and visual processing, less is known about 5-HTTLPR effects on broader network responses. To address this, we evaluated 5-HTTLPR differences in the whole-brain response to an emotional faces paradigm including neutral, angry and fearful faces using functional magnetic resonance imaging in 76 healthy adults. We observed robust increased response to emotional faces in the amygdala, hippocampus, caudate, fusiform gyrus, superior temporal sulcus and lateral prefrontal and occipito-parietal cortices. We observed dissociation between 5-HTTLPR groups such that LA LA individuals had increased response to only angry faces, relative to neutral ones, but S' carriers had increased activity for both angry and fearful faces relative to neutral. Additionally, the response to angry faces was significantly greater in LA LA individuals compared to S' carriers and the response to fearful faces was significantly greater in S' carriers compared to LA LA individuals. These findings provide novel evidence for emotion-specific 5-HTTLPR effects on the response of a distributed set of brain regions including areas responsive to emotionally salient stimuli and critical components of the face-processing network. These findings provide additional insight into neurobiological mechanisms through which 5-HTTLPR genotype may affect personality and related risk for neuropsychiatric illness.
Collapse
Affiliation(s)
- Patrick M Fisher
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital Rigshospitalet, Copenhagen O, Denmark.,Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen O, Denmark
| | - Cheryl L Grady
- Rotman Research Institute at Baycrest, University of Toronto, Toronto, Canada.,Department of Psychology and Psychiatry, University of Toronto, Toronto, Canada
| | - Martin K Madsen
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital Rigshospitalet, Copenhagen O, Denmark.,Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen O, Denmark
| | - Stephen C Strother
- Rotman Research Institute at Baycrest, University of Toronto, Toronto, Canada.,Department of Medical Physics, University of Toronto, Toronto, Canada
| | - Gitte M Knudsen
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital Rigshospitalet, Copenhagen O, Denmark.,Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen O, Denmark
| |
Collapse
|