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Betzel R, Puxeddu MG, Seguin C, Bazinet V, Luppi A, Podschun A, Singleton SP, Faskowitz J, Parakkattu V, Misic B, Markett S, Kuceyeski A, Parkes L. Controlling the human connectome with spatially diffuse input signals. bioRxiv 2024:2024.02.27.581006. [PMID: 38463980 PMCID: PMC10925126 DOI: 10.1101/2024.02.27.581006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
The human brain is never at "rest"; its activity is constantly fluctuating over time, transitioning from one brain state-a whole-brain pattern of activity-to another. Network control theory offers a framework for understanding the effort - energy - associated with these transitions. One branch of control theory that is especially useful in this context is "optimal control", in which input signals are used to selectively drive the brain into a target state. Typically, these inputs are introduced independently to the nodes of the network (each input signal is associated with exactly one node). Though convenient, this input strategy ignores the continuity of cerebral cortex - geometrically, each region is connected to its spatial neighbors, allowing control signals, both exogenous and endogenous, to spread from their foci to nearby regions. Additionally, the spatial specificity of brain stimulation techniques is limited, such that the effects of a perturbation are measurable in tissue surrounding the stimulation site. Here, we adapt the network control model so that input signals have a spatial extent that decays exponentially from the input site. We show that this more realistic strategy takes advantage of spatial dependencies in structural connectivity and activity to reduce the energy (effort) associated with brain state transitions. We further leverage these dependencies to explore near-optimal control strategies such that, on a per-transition basis, the number of input signals required for a given control task is reduced, in some cases by two orders of magnitude. This approximation yields network-wide maps of input site density, which we compare to an existing database of functional, metabolic, genetic, and neurochemical maps, finding a close correspondence. Ultimately, not only do we propose a more efficient framework that is also more adherent to well-established brain organizational principles, but we also posit neurobiologically grounded bases for optimal control.
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Affiliation(s)
- Richard Betzel
- Department of Psychological and Brain Sciences, Indiana University, Bloomington IN 47401
- Cognitive Science Program, Indiana University, Bloomington IN 47401
- Program in Neuroscience, Indiana University, Bloomington IN 47401
| | - Maria Grazia Puxeddu
- Department of Psychological and Brain Sciences, Indiana University, Bloomington IN 47401
| | - Caio Seguin
- Department of Psychological and Brain Sciences, Indiana University, Bloomington IN 47401
| | - Vincent Bazinet
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Andrea Luppi
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
| | | | | | - Joshua Faskowitz
- Department of Psychological and Brain Sciences, Indiana University, Bloomington IN 47401
| | - Vibin Parakkattu
- Department of Psychological and Brain Sciences, Indiana University, Bloomington IN 47401
- Cognitive Science Program, Indiana University, Bloomington IN 47401
| | - Bratislav Misic
- Montréal Neurological Institute, McGill University, Montréal, QC, Canada
| | | | - Amy Kuceyeski
- Department of Radiology, Weill Cornell Medicine, New York, NY
- Department of Computational Biology, Cornell University, Ithaca, NY
| | - Linden Parkes
- Department of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ, USA
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Montag C, Markett S. Depressive inclinations mediate the association between personality (neuroticism/conscientiousness) and TikTok Use Disorder tendencies. BMC Psychol 2024; 12:81. [PMID: 38368362 PMCID: PMC10873925 DOI: 10.1186/s40359-024-01541-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 01/15/2024] [Indexed: 02/19/2024] Open
Abstract
BACKGROUND We introduce a novel measure for assessing TikTok overuse, called the TikTok Use Disorder-Questionnaire (TTUD-Q). As part of ongoing investigations into the suitability of the World Health Organization's (WHO) framework for diagnosing Gaming Disorder in the context of social media overuse, we developed this questionnaire by adapting the WHO framework, replacing the term "gaming" with "TikTok use". METHODS In order to address this question, we investigated the psychometric properties of the newly designed TTUD-Q and assessed its associations with the BFI-10 (assessing the Big Five of Personality) and the PHQ-8 (assessing depressive tendencies). RESULTS In this study, involving a final sample of 378 participants, we observed that higher levels of neuroticism were linked to greater tendencies toward TikTok Use Disorder (TTUD). Furthermore, we identified that this association was mediated by depressive tendencies. Similar trends emerged when investigating the relationship between lower levels of conscientiousness and higher TTUD tendencies, with depressive tendencies once again serving as a mediator. DISCUSSION Our research sets the foundation for future studies that should delve deeper into examining individual differences in TTUD using the WHO framework originally designed for Gaming Disorder.
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Affiliation(s)
- Christian Montag
- Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Helmholtzstr. 8/1, Ulm, 89081, Germany.
| | - Sebastian Markett
- Molecular Psychology, Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
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Schindler H, Jawinski P, Arnatkevičiūtė A, Markett S. Molecular signatures of attention networks. Hum Brain Mapp 2024; 45:e26588. [PMID: 38401136 PMCID: PMC10893969 DOI: 10.1002/hbm.26588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 11/10/2023] [Accepted: 12/22/2023] [Indexed: 02/26/2024] Open
Abstract
Attention network theory proposes three distinct types of attention-alerting, orienting, and control-that are supported by separate brain networks and modulated by different neurotransmitters, that is, norepinephrine, acetylcholine, and dopamine. Here, we explore the extent of cortical, genetic, and molecular dissociation of these three attention systems using multimodal neuroimaging. We evaluated the spatial overlap between fMRI activation maps from the attention network test (ANT) and cortex-wide gene expression data from the Allen Human Brain Atlas. The goal was to identify genes associated with each of the attention networks in order to determine whether specific groups of genes were co-expressed with the corresponding attention networks. Furthermore, we analyzed publicly available PET-maps of neurotransmitter receptors and transporters to investigate their spatial overlap with the attention networks. Our analyses revealed a substantial number of genes (3871 for alerting, 6905 for orienting, 2556 for control) whose cortex-wide expression co-varied with the activation maps, prioritizing several molecular functions such as the regulation of protein biosynthesis, phosphorylation, and receptor binding. Contrary to the hypothesized associations, the ANT activation maps neither aligned with the distribution of norepinephrine, acetylcholine, and dopamine receptor and transporter molecules, nor with transcriptomic profiles that would suggest clearly separable networks. Independence of the attention networks appeared additionally constrained by a high level of spatial dependency between the network maps. Future work may need to reconceptualize the attention networks in terms of their segregation and reevaluate the presumed independence at the neural and neurochemical level.
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Affiliation(s)
| | | | - Aurina Arnatkevičiūtė
- Turner Institute for Brain and Mental Health, School of Psychological SciencesMonash UniversityMelbourneAustralia
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Nothdurfter D, Jawinski P, Markett S. White Matter Tract Integrity Is Reduced in Depression and in Individuals With Genetic Liability to Depression. Biol Psychiatry 2023:S0006-3223(23)01763-8. [PMID: 38103877 DOI: 10.1016/j.biopsych.2023.11.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 11/06/2023] [Accepted: 11/26/2023] [Indexed: 12/19/2023]
Abstract
BACKGROUND While major depression has been linked to changes in white matter architecture, it remains unclear whether risk factors for depression are directly associated with these alterations. We reexamined white matter fiber tracts in individuals with depressive symptoms and investigated the connection between genetic and environmental risk for depression and structural changes in the brain. METHODS We included 19,183 participants from the UK Biobank imaging cohort, with depression status and adverse life experience based on questionnaire data and genetic liability for depression quantified by polygenic scores. The integrity of 27 white matter tracts was assessed using mean fractional anisotropy derived from diffusion magnetic resonance imaging. RESULTS White matter integrity was reduced, particularly in thalamic and intracortical fiber tracts, in individuals with depressive symptoms, independent of current symptom status. In a group of healthy individuals without depression, increasing genetic risk and increasing environmental risk were associated with reduced integrity in relevant fiber tracts, particularly in thalamic radiations. This association was stronger than expected based on statistical dependencies between samples, as confirmed by subsequent in silico simulations and permutation tests. CONCLUSIONS White matter alterations in thalamic and association tracts are associated with depressive symptoms and genetic risk for depression in unaffected individuals, suggesting an intermediate phenotype at the brain level.
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Affiliation(s)
- David Nothdurfter
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Philippe Jawinski
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Sebastian Markett
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.
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Montag C, Markett S. Social media use and everyday cognitive failure: investigating the fear of missing out and social networks use disorder relationship. BMC Psychiatry 2023; 23:872. [PMID: 38001436 PMCID: PMC10668512 DOI: 10.1186/s12888-023-05371-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/10/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND Nearly five billion individuals worldwide are using social media platforms. While the benefits of using social media, such as fostering social connections, are clear, ongoing discussions are focused on whether excessive use of these platforms might have adverse effects on cognitive functioning. Excessive social media use shares similarities with addictive behaviors and is believed to result from a complex interplay of individual characteristics, emotions, thoughts, and actions. Among these contributing factors, one of particular interest is the Fear of Missing Out (FoMO), a state where an individual apprehends that others are experiencing rewarding moments in their absence (but see more information on the FoMO trait/state debate in this article). METHODS In this study, we aimed to explore the intricate relationships between FoMO, tendencies towards Social Networks Use Disorder (SNUD), and everyday cognitive failures. To achieve this, we gathered a large sample of N = 5314 participants and administered a comprehensive set of questionnaires. These included a Fear of Missing Out (FoMO) scale, which assessed both trait and state aspects of FoMO, the Social Networking Sites-Addiction Test (SNS-AT), designed to gauge tendencies towards SNUD, and the Cognitive Failure Questionnaire (CFQ), which measured everyday cognitive lapses. RESULTS Our findings revealed that among non-users of social media, both FoMO and everyday cognitive failures were at their lowest levels. Further, in the group of social media users, we observed a significant relationship between FoMO and cognitive failures, which was mediated by SNUD tendencies. This mediation was particularly pronounced for the state component of FoMO, which encompasses maladaptive thoughts related to online behavior. CONCLUSIONS While our study is cross-sectional and thus cannot establish causality, one plausible interpretation of our findings is that higher FoMO tendencies may trigger excessive social media use, which in turn could lead to cognitive failures, possibly due to distraction and reduced attention to everyday tasks.
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Affiliation(s)
- Christian Montag
- Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Helmholtzstr. 8/1, 89081, Ulm, Germany.
| | - Sebastian Markett
- Molecular Psychology, Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
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Boeken OJ, Cieslik EC, Langner R, Markett S. Characterizing functional modules in the human thalamus: coactivation-based parcellation and systems-level functional decoding. Brain Struct Funct 2023; 228:1811-1834. [PMID: 36547707 PMCID: PMC10516793 DOI: 10.1007/s00429-022-02603-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 12/08/2022] [Indexed: 12/24/2022]
Abstract
The human thalamus relays sensory signals to the cortex and facilitates brain-wide communication. The thalamus is also more directly involved in sensorimotor and various cognitive functions but a full characterization of its functional repertoire, particularly in regard to its internal anatomical structure, is still outstanding. As a putative hub in the human connectome, the thalamus might reveal its functional profile only in conjunction with interconnected brain areas. We therefore developed a novel systems-level Bayesian reverse inference decoding that complements the traditional neuroinformatics approach towards a network account of thalamic function. The systems-level decoding considers the functional repertoire (i.e., the terms associated with a brain region) of all regions showing co-activations with a predefined seed region in a brain-wide fashion. Here, we used task-constrained meta-analytic connectivity-based parcellation (MACM-CBP) to identify thalamic subregions as seed regions and applied the systems-level decoding to these subregions in conjunction with functionally connected cortical regions. Our results confirm thalamic structure-function relationships known from animal and clinical studies and revealed further associations with language, memory, and locomotion that have not been detailed in the cognitive neuroscience literature before. The systems-level decoding further uncovered large systems engaged in autobiographical memory and nociception. We propose this novel decoding approach as a useful tool to detect previously unknown structure-function relationships at the brain network level, and to build viable starting points for future studies.
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Affiliation(s)
- Ole J Boeken
- Faculty of Life Sciences, Department of Molecular Psychology, Humboldt-Universität Zu Berlin, Rudower Chaussee 18, 12489, Berlin, Germany.
| | - Edna C Cieslik
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany
| | - Robert Langner
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany
| | - Sebastian Markett
- Faculty of Life Sciences, Department of Molecular Psychology, Humboldt-Universität Zu Berlin, Rudower Chaussee 18, 12489, Berlin, Germany
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Nebe S, Reutter M, Baker DH, Bölte J, Domes G, Gamer M, Gärtner A, Gießing C, Gurr C, Hilger K, Jawinski P, Kulke L, Lischke A, Markett S, Meier M, Merz CJ, Popov T, Puhlmann LMC, Quintana DS, Schäfer T, Schubert AL, Sperl MFJ, Vehlen A, Lonsdorf TB, Feld GB. Enhancing precision in human neuroscience. eLife 2023; 12:e85980. [PMID: 37555830 PMCID: PMC10411974 DOI: 10.7554/elife.85980] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 07/23/2023] [Indexed: 08/10/2023] Open
Abstract
Human neuroscience has always been pushing the boundary of what is measurable. During the last decade, concerns about statistical power and replicability - in science in general, but also specifically in human neuroscience - have fueled an extensive debate. One important insight from this discourse is the need for larger samples, which naturally increases statistical power. An alternative is to increase the precision of measurements, which is the focus of this review. This option is often overlooked, even though statistical power benefits from increasing precision as much as from increasing sample size. Nonetheless, precision has always been at the heart of good scientific practice in human neuroscience, with researchers relying on lab traditions or rules of thumb to ensure sufficient precision for their studies. In this review, we encourage a more systematic approach to precision. We start by introducing measurement precision and its importance for well-powered studies in human neuroscience. Then, determinants for precision in a range of neuroscientific methods (MRI, M/EEG, EDA, Eye-Tracking, and Endocrinology) are elaborated. We end by discussing how a more systematic evaluation of precision and the application of respective insights can lead to an increase in reproducibility in human neuroscience.
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Affiliation(s)
- Stephan Nebe
- Zurich Center for Neuroeconomics, Department of Economics, University of ZurichZurichSwitzerland
| | - Mario Reutter
- Department of Psychology, Julius-Maximilians-UniversityWürzburgGermany
| | - Daniel H Baker
- Department of Psychology and York Biomedical Research Institute, University of YorkYorkUnited Kingdom
| | - Jens Bölte
- Institute for Psychology, University of Münster, Otto-Creuzfeldt Center for Cognitive and Behavioral NeuroscienceMünsterGermany
| | - Gregor Domes
- Department of Biological and Clinical Psychology, University of TrierTrierGermany
- Institute for Cognitive and Affective NeuroscienceTrierGermany
| | - Matthias Gamer
- Department of Psychology, Julius-Maximilians-UniversityWürzburgGermany
| | - Anne Gärtner
- Faculty of Psychology, Technische Universität DresdenDresdenGermany
| | - Carsten Gießing
- Biological Psychology, Department of Psychology, School of Medicine and Health Sciences, Carl von Ossietzky University of OldenburgOldenburgGermany
| | - Caroline Gurr
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe UniversityFrankfurtGermany
- Brain Imaging Center, Goethe UniversityFrankfurtGermany
| | - Kirsten Hilger
- Department of Psychology, Julius-Maximilians-UniversityWürzburgGermany
- Department of Psychology, Psychological Diagnostics and Intervention, Catholic University of Eichstätt-IngolstadtEichstättGermany
| | - Philippe Jawinski
- Department of Psychology, Humboldt-Universität zu BerlinBerlinGermany
| | - Louisa Kulke
- Department of Developmental with Educational Psychology, University of BremenBremenGermany
| | - Alexander Lischke
- Department of Psychology, Medical School HamburgHamburgGermany
- Institute of Clinical Psychology and Psychotherapy, Medical School HamburgHamburgGermany
| | - Sebastian Markett
- Department of Psychology, Humboldt-Universität zu BerlinBerlinGermany
| | - Maria Meier
- Department of Psychology, University of KonstanzKonstanzGermany
- University Psychiatric Hospitals, Child and Adolescent Psychiatric Research Department (UPKKJ), University of BaselBaselSwitzerland
| | - Christian J Merz
- Department of Cognitive Psychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University BochumBochumGermany
| | - Tzvetan Popov
- Department of Psychology, Methods of Plasticity Research, University of ZurichZurichSwitzerland
| | - Lara MC Puhlmann
- Leibniz Institute for Resilience ResearchMainzGermany
- Max Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
| | - Daniel S Quintana
- Max Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
- NevSom, Department of Rare Disorders & Disabilities, Oslo University HospitalOsloNorway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of OsloOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), University of OsloOsloNorway
| | - Tim Schäfer
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe UniversityFrankfurtGermany
- Brain Imaging Center, Goethe UniversityFrankfurtGermany
| | | | - Matthias FJ Sperl
- Department of Clinical Psychology and Psychotherapy, University of GiessenGiessenGermany
- Center for Mind, Brain and Behavior, Universities of Marburg and GiessenGiessenGermany
| | - Antonia Vehlen
- Department of Biological and Clinical Psychology, University of TrierTrierGermany
| | - Tina B Lonsdorf
- Department of Systems Neuroscience, University Medical Center Hamburg-EppendorfHamburgGermany
- Department of Psychology, Biological Psychology and Cognitive Neuroscience, University of BielefeldBielefeldGermany
| | - Gordon B Feld
- Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg UniversityMannheimGermany
- Department of Psychology, Heidelberg UniversityHeidelbergGermany
- Department of Addiction Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg UniversityMannheimGermany
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg UniversityMannheimGermany
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Fromm SP, Wieland L, Klettke A, Nassar MR, Katthagen T, Markett S, Heinz A, Schlagenhauf F. Computational mechanisms of belief updating in relation to psychotic-like experiences. Front Psychiatry 2023; 14:1170168. [PMID: 37215663 PMCID: PMC10196365 DOI: 10.3389/fpsyt.2023.1170168] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 04/07/2023] [Indexed: 05/24/2023] Open
Abstract
Introduction Psychotic-like experiences (PLEs) may occur due to changes in weighting prior beliefs and new evidence in the belief updating process. It is still unclear whether the acquisition or integration of stable beliefs is altered, and whether such alteration depends on the level of environmental and belief precision, which reflects the associated uncertainty. This motivated us to investigate uncertainty-related dynamics of belief updating in relation to PLEs using an online study design. Methods We selected a sample (n = 300) of participants who performed a belief updating task with sudden change points and provided self-report questionnaires for PLEs. The task required participants to observe bags dropping from a hidden helicopter, infer its position, and dynamically update their belief about the helicopter's position. Participants could optimize performance by adjusting learning rates according to inferred belief uncertainty (inverse prior precision) and the probability of environmental change points. We used a normative learning model to examine the relationship between adherence to specific model parameters and PLEs. Results PLEs were linked to lower accuracy in tracking the outcome (helicopter location) (β = 0.26 ± 0.11, p = 0.018) and to a smaller increase of belief precision across observations after a change point (β = -0.003 ± 0.0007, p < 0.001). PLEs were related to slower belief updating when participants encountered large prediction errors (β = -0.03 ± 0.009, p = 0.001). Computational modeling suggested that PLEs were associated with reduced overall belief updating in response to prediction errors (βPE = -1.00 ± 0.45, p = 0.028) and reduced modulation of updating at inferred environmental change points (βCPP = -0.84 ± 0.38, p = 0.023). Discussion We conclude that PLEs are associated with altered dynamics of belief updating. These findings support the idea that the process of balancing prior belief and new evidence, as a function of environmental uncertainty, is altered in PLEs, which may contribute to the development of delusions. Specifically, slower learning after large prediction errors in people with high PLEs may result in rigid beliefs. Disregarding environmental change points may limit the flexibility to establish new beliefs in the face of contradictory evidence. The present study fosters a deeper understanding of inferential belief updating mechanisms underlying PLEs.
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Affiliation(s)
- Sophie Pauline Fromm
- Department of Psychiatry and Neuroscience | CCM, NeuroCure Clinical Research Center, Berlin Institute of Health CCM, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Charité – Universitätsmedizin Berlin, Einstein Center for Neurosciences Berlin, Berlin, Germany
- Bernstein Center for Computational Neuroscience, Berlin, Germany
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Lara Wieland
- Department of Psychiatry and Neuroscience | CCM, NeuroCure Clinical Research Center, Berlin Institute of Health CCM, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Charité – Universitätsmedizin Berlin, Einstein Center for Neurosciences Berlin, Berlin, Germany
- Bernstein Center for Computational Neuroscience, Berlin, Germany
| | - Arne Klettke
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Matthew R. Nassar
- Carney Institute for Brain Science, Brown University, Providence, RI, United States
- Department of Neuroscience, Brown University, Providence, RI, United States
| | - Teresa Katthagen
- Department of Psychiatry and Neuroscience | CCM, NeuroCure Clinical Research Center, Berlin Institute of Health CCM, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Sebastian Markett
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Andreas Heinz
- Department of Psychiatry and Neuroscience | CCM, NeuroCure Clinical Research Center, Berlin Institute of Health CCM, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Florian Schlagenhauf
- Department of Psychiatry and Neuroscience | CCM, NeuroCure Clinical Research Center, Berlin Institute of Health CCM, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Charité – Universitätsmedizin Berlin, Einstein Center for Neurosciences Berlin, Berlin, Germany
- Bernstein Center for Computational Neuroscience, Berlin, Germany
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Boeken OJ, Markett S. Systems-level decoding reveals the cognitive and behavioral profile of the human intraparietal sulcus. Front Neuroimaging 2023; 1:1074674. [PMID: 37555176 PMCID: PMC10406318 DOI: 10.3389/fnimg.2022.1074674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 12/19/2022] [Indexed: 08/10/2023]
Abstract
INTRODUCTION The human intraparietal sulcus (IPS) covers large portions of the posterior cortical surface and has been implicated in a variety of cognitive functions. It is, however, unclear how cognitive functions dissociate between the IPS's heterogeneous subdivisions, particularly in perspective to their connectivity profile. METHODS We applied a neuroinformatics driven system-level decoding on three cytoarchitectural distinct subdivisions (hIP1, hIP2, hIP3) per hemisphere, with the aim to disentangle the cognitive profile of the IPS in conjunction with functionally connected cortical regions. RESULTS The system-level decoding revealed nine functional systems based on meta-analytical associations of IPS subdivisions and their cortical coactivations: Two systems-working memory and numeric cognition-which are centered on all IPS subdivisions, and seven systems-attention, language, grasping, recognition memory, rotation, detection of motions/shapes and navigation-with varying degrees of dissociation across subdivisions and hemispheres. By probing the spatial overlap between systems-level co-activations of the IPS and seven canonical intrinsic resting state networks, we observed a trend toward more co-activation between hIP1 and the front parietal network, between hIP2 and hIP3 and the dorsal attention network, and between hIP3 and the visual and somatomotor network. DISCUSSION Our results confirm previous findings on the IPS's role in cognition but also point to previously unknown differentiation along the IPS, which present viable starting points for future work. We also present the systems-level decoding as promising approach toward functional decoding of the human connectome.
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Affiliation(s)
- Ole Jonas Boeken
- Department of Molecular Psychology, Institute for Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
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10
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Riedel L, van den Heuvel MP, Markett S. Trajectory of rich club properties in structural brain networks. Hum Brain Mapp 2022; 43:4239-4253. [PMID: 35620874 PMCID: PMC9435005 DOI: 10.1002/hbm.25950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 05/04/2022] [Accepted: 05/05/2022] [Indexed: 11/06/2022] Open
Abstract
Many organizational principles of structural brain networks are established before birth and undergo considerable developmental changes afterwards. These include the topologically central hub regions and a densely connected rich club. While several studies have mapped developmental trajectories of brain connectivity and brain network organization across childhood and adolescence, comparatively little is known about subsequent development over the course of the lifespan. Here, we present a cross-sectional analysis of structural brain network development in N = 8066 participants aged 5-80 years. Across all brain regions, structural connectivity strength followed an "inverted-U"-shaped trajectory with vertex in the early 30s. Connectivity strength of hub regions showed a similar trajectory and the identity of hub regions remained stable across all age groups. While connectivity strength declined with advancing age, the organization of hub regions into a rich club did not only remain intact but became more pronounced, presumingly through a selected sparing of relevant connections from age-related connectivity loss. The stability of rich club organization in the face of overall age-related decline is consistent with a "first come, last served" model of neurodevelopment, where the first principles to develop are the last to decline with age. Rich club organization has been shown to be highly beneficial for communicability and higher cognition. A resilient rich club might thus be protective of a functional loss in late adulthood and represent a neural reserve to sustain cognitive functioning in the aging brain.
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Affiliation(s)
- Levin Riedel
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin School of Mind and Brain, Berlin, Germany
| | - Martijn P van den Heuvel
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Sebastian Markett
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
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11
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Jawinski P, Markett S, Drewelies J, Düzel S, Demuth I, Steinhagen-Thiessen E, Wagner GG, Gerstorf D, Lindenberger U, Gaser C, Kühn S. Linking Brain Age Gap to Mental and Physical Health in the Berlin Aging Study II. Front Aging Neurosci 2022; 14:791222. [PMID: 35936763 PMCID: PMC9355695 DOI: 10.3389/fnagi.2022.791222] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 06/17/2022] [Indexed: 11/13/2022] Open
Abstract
From a biological perspective, humans differ in the speed they age, and this may manifest in both mental and physical health disparities. The discrepancy between an individual's biological and chronological age of the brain ("brain age gap") can be assessed by applying machine learning techniques to Magnetic Resonance Imaging (MRI) data. Here, we examined the links between brain age gap and a broad range of cognitive, affective, socioeconomic, lifestyle, and physical health variables in up to 335 adults of the Berlin Aging Study II. Brain age gap was assessed using a validated prediction model that we previously trained on MRI scans of 32,634 UK Biobank individuals. Our statistical analyses revealed overall stronger evidence for a link between higher brain age gap and less favorable health characteristics than expected under the null hypothesis of no effect, with 80% of the tested associations showing hypothesis-consistent effect directions and 23% reaching nominal significance. The most compelling support was observed for a cluster covering both cognitive performance variables (episodic memory, working memory, fluid intelligence, digit symbol substitution test) and socioeconomic variables (years of education and household income). Furthermore, we observed higher brain age gap to be associated with heavy episodic drinking, higher blood pressure, and higher blood glucose. In sum, our results point toward multifaceted links between brain age gap and human health. Understanding differences in biological brain aging may therefore have broad implications for future informed interventions to preserve mental and physical health in old age.
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Affiliation(s)
- Philippe Jawinski
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Sebastian Markett
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Johanna Drewelies
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.,Lise Meitner Group for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Ilja Demuth
- Division of Lipid Metabolism, Department of Endocrinology and Metabolic Diseases, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT-Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Elisabeth Steinhagen-Thiessen
- Division of Lipid Metabolism, Department of Endocrinology and Metabolic Diseases, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Gert G Wagner
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.,German Socio-Economic Panel Study (SOEP), Berlin, Germany.,Federal Institute for Population Research (BiB), Berlin, Germany
| | - Denis Gerstorf
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.,German Socio-Economic Panel Study (SOEP), Berlin, Germany
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Christian Gaser
- Structural Brain Mapping Group, Department of Psychiatry and Neurology, Jena University Hospital, Jena, Germany
| | - Simone Kühn
- Lise Meitner Group for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany.,Department of Psychiatry and Psychotherapy, University Clinic Hamburg Eppendorf, Hamburg, Germany
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12
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Markett S, Nothdurfter D, Focsa A, Reuter M, Jawinski P. Attention networks and the intrinsic network structure of the human brain. Hum Brain Mapp 2021; 43:1431-1448. [PMID: 34882908 PMCID: PMC8837576 DOI: 10.1002/hbm.25734] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 11/15/2021] [Accepted: 11/24/2021] [Indexed: 11/09/2022] Open
Abstract
Attention network theory distinguishes three independent systems, each supported by its own distributed network: an alerting network to deploy attentional resources in anticipation, an orienting network to direct attention to a cued location, and a control network to select relevant information at the expense of concurrently available information. Ample behavioral and neuroimaging evidence supports the dissociation of the three attention domains. The strong assumption that each attentional system is realized through a separable network, however, raises the question how these networks relate to the intrinsic network structure of the brain. Our understanding of brain networks has advanced majorly in the past years due to the increasing focus on brain connectivity. The brain is intrinsically organized into several large‐scale networks whose modular structure persists across task states. Existing proposals on how the presumed attention networks relate to intrinsic networks rely mostly on anecdotal and partly contradictory arguments. We addressed this issue by mapping different attention networks at the level of cifti‐grayordinates. Resulting group maps were compared to the group‐level topology of 23 intrinsic networks, which we reconstructed from the same participants' resting state fMRI data. We found that all attention domains recruited multiple and partly overlapping intrinsic networks and converged in the dorsal fronto‐parietal and midcingulo‐insular network. While we observed a preference of each attentional domain for its own set of intrinsic networks, implicated networks did not match well to those proposed in the literature. Our results indicate a necessary refinement of the attention network theory.
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13
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Hilger K, Markett S. Personality network neuroscience: Promises and challenges on the way toward a unifying framework of individual variability. Netw Neurosci 2021; 5:631-645. [PMID: 34746620 PMCID: PMC8567832 DOI: 10.1162/netn_a_00198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 04/22/2021] [Indexed: 11/21/2022] Open
Abstract
We propose that the application of network theory to established psychological personality conceptions has great potential to advance a biologically plausible model of human personality. Stable behavioral tendencies are conceived as personality “traits.” Such traits demonstrate considerable variability between individuals, and extreme expressions represent risk factors for psychological disorders. Although the psychometric assessment of personality has more than hundred years tradition, it is not yet clear whether traits indeed represent “biophysical entities” with specific and dissociable neural substrates. For instance, it is an open question whether there exists a correspondence between the multilayer structure of psychometrically derived personality factors and the organizational properties of traitlike brain systems. After a short introduction into fundamental personality conceptions, this article will point out how network neuroscience can enhance our understanding about human personality. We will examine the importance of intrinsic (task-independent) brain connectivity networks and show means to link brain features to stable behavioral tendencies. Questions and challenges arising from each discipline itself and their combination are discussed and potential solutions are developed. We close by outlining future trends and by discussing how further developments of network neuroscience can be applied to personality research.
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Affiliation(s)
- Kirsten Hilger
- Department of Psychology I, Julius-Maximilians University Würzburg, Würzburg, Germany
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14
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Jawinski P, Markett S, Sander C, Huang J, Ulke C, Hegerl U, Hensch T. The Big Five Personality Traits and Brain Arousal in the Resting State. Brain Sci 2021; 11:brainsci11101272. [PMID: 34679337 DOI: 10.3390/brainsci11101272/s1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 09/22/2021] [Accepted: 09/23/2021] [Indexed: 05/25/2023] Open
Abstract
Based on Eysenck's biopsychological trait theory, brain arousal has long been considered to explain individual differences in human personality. Yet, results from empirical studies remained inconclusive. However, most published results have been derived from small samples and, despite inherent limitations, EEG alpha power has usually served as an exclusive indicator for brain arousal. To overcome these problems, we here selected N = 468 individuals of the LIFE-Adult cohort and investigated the associations between the Big Five personality traits and brain arousal by using the validated EEG- and EOG-based analysis tool VIGALL. Our analyses revealed that participants who reported higher levels of extraversion and openness to experience, respectively, exhibited lower levels of brain arousal in the resting state. Bayesian and frequentist analysis results were especially convincing for openness to experience. Among the lower-order personality traits, we obtained the strongest evidence for neuroticism facet 'impulsivity' and reduced brain arousal. In line with this, both impulsivity and openness have previously been conceptualized as aspects of extraversion. We regard our findings as well in line with the postulations of Eysenck and consistent with the recently proposed 'arousal regulation model'. Our results also agree with meta-analytically derived effect sizes in the field of individual differences research, highlighting the need for large (collaborative) studies.
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Affiliation(s)
- Philippe Jawinski
- Department of Psychology, Humboldt-Universität zu Berlin, 10099 Berlin, Germany
- LIFE-Leipzig Research Center for Civilization Diseases, University of Leipzig, 04103 Leipzig, Germany
- Depression Research Centre, German Depression Foundation, 04109 Leipzig, Germany
| | - Sebastian Markett
- Department of Psychology, Humboldt-Universität zu Berlin, 10099 Berlin, Germany
| | - Christian Sander
- LIFE-Leipzig Research Center for Civilization Diseases, University of Leipzig, 04103 Leipzig, Germany
- Depression Research Centre, German Depression Foundation, 04109 Leipzig, Germany
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, 04103 Leipzig, Germany
| | - Jue Huang
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, 04103 Leipzig, Germany
| | - Christine Ulke
- LIFE-Leipzig Research Center for Civilization Diseases, University of Leipzig, 04103 Leipzig, Germany
- Depression Research Centre, German Depression Foundation, 04109 Leipzig, Germany
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, 04103 Leipzig, Germany
| | - Ulrich Hegerl
- LIFE-Leipzig Research Center for Civilization Diseases, University of Leipzig, 04103 Leipzig, Germany
- Depression Research Centre, German Depression Foundation, 04109 Leipzig, Germany
- Department of Psychiatry and Psychotherapy, University Hospital Frankfurt, 60323 Frankfurt, Germany
| | - Tilman Hensch
- LIFE-Leipzig Research Center for Civilization Diseases, University of Leipzig, 04103 Leipzig, Germany
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, 04103 Leipzig, Germany
- Department of Psychology, IU International University of Applied Science, 99084 Erfurt, Germany
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15
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Jawinski P, Markett S, Sander C, Huang J, Ulke C, Hegerl U, Hensch T. The Big Five Personality Traits and Brain Arousal in the Resting State. Brain Sci 2021; 11:brainsci11101272. [PMID: 34679337 PMCID: PMC8533901 DOI: 10.3390/brainsci11101272] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 09/22/2021] [Accepted: 09/23/2021] [Indexed: 12/14/2022] Open
Abstract
Based on Eysenck's biopsychological trait theory, brain arousal has long been considered to explain individual differences in human personality. Yet, results from empirical studies remained inconclusive. However, most published results have been derived from small samples and, despite inherent limitations, EEG alpha power has usually served as an exclusive indicator for brain arousal. To overcome these problems, we here selected N = 468 individuals of the LIFE-Adult cohort and investigated the associations between the Big Five personality traits and brain arousal by using the validated EEG- and EOG-based analysis tool VIGALL. Our analyses revealed that participants who reported higher levels of extraversion and openness to experience, respectively, exhibited lower levels of brain arousal in the resting state. Bayesian and frequentist analysis results were especially convincing for openness to experience. Among the lower-order personality traits, we obtained the strongest evidence for neuroticism facet 'impulsivity' and reduced brain arousal. In line with this, both impulsivity and openness have previously been conceptualized as aspects of extraversion. We regard our findings as well in line with the postulations of Eysenck and consistent with the recently proposed 'arousal regulation model'. Our results also agree with meta-analytically derived effect sizes in the field of individual differences research, highlighting the need for large (collaborative) studies.
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Affiliation(s)
- Philippe Jawinski
- Department of Psychology, Humboldt-Universität zu Berlin, 10099 Berlin, Germany;
- LIFE—Leipzig Research Center for Civilization Diseases, University of Leipzig, 04103 Leipzig, Germany; (C.S.); (C.U.); (U.H.); (T.H.)
- Depression Research Centre, German Depression Foundation, 04109 Leipzig, Germany
- Correspondence: ; Tel.: +49-30-2093-9391
| | - Sebastian Markett
- Department of Psychology, Humboldt-Universität zu Berlin, 10099 Berlin, Germany;
| | - Christian Sander
- LIFE—Leipzig Research Center for Civilization Diseases, University of Leipzig, 04103 Leipzig, Germany; (C.S.); (C.U.); (U.H.); (T.H.)
- Depression Research Centre, German Depression Foundation, 04109 Leipzig, Germany
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, 04103 Leipzig, Germany;
| | - Jue Huang
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, 04103 Leipzig, Germany;
| | - Christine Ulke
- LIFE—Leipzig Research Center for Civilization Diseases, University of Leipzig, 04103 Leipzig, Germany; (C.S.); (C.U.); (U.H.); (T.H.)
- Depression Research Centre, German Depression Foundation, 04109 Leipzig, Germany
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, 04103 Leipzig, Germany;
| | - Ulrich Hegerl
- LIFE—Leipzig Research Center for Civilization Diseases, University of Leipzig, 04103 Leipzig, Germany; (C.S.); (C.U.); (U.H.); (T.H.)
- Depression Research Centre, German Depression Foundation, 04109 Leipzig, Germany
- Department of Psychiatry and Psychotherapy, University Hospital Frankfurt, 60323 Frankfurt, Germany
| | - Tilman Hensch
- LIFE—Leipzig Research Center for Civilization Diseases, University of Leipzig, 04103 Leipzig, Germany; (C.S.); (C.U.); (U.H.); (T.H.)
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, 04103 Leipzig, Germany;
- Department of Psychology, IU International University of Applied Science, 99084 Erfurt, Germany
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16
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Spiegelberg N, Breuer S, Nielsen J, Saliger J, Montag C, Karbe H, Markett S. Cognitive Fatigue Predicts Cognitive Failure in Multiple Sclerosis Patients and Healthy Controls: A Case-Control Study. Arch Clin Neuropsychol 2021; 36:908-917. [PMID: 33316071 DOI: 10.1093/arclin/acaa118] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 03/02/2020] [Accepted: 11/02/2020] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVE Fatigue and cognitive deficits are frequent symptoms of multiple sclerosis (MS). However, the exact nature of their co-occurrence is not fully understood. We sought to determine the impact of cognitive and physical fatigue on subjective cognitive deficits in MS patients and healthy controls. METHODS Self-reports of fatigue (FSMC), depression (CES-D), cognitive deficits (CFQ), and personality traits (NEO-FFI, ANPS) among 30 MS inpatients and 30 healthy controls were analyzed using hierarchical regression models. The frequency of cognitive mistakes was used as the dependent variable and the extent of cognitive and physical fatigue as the independent variable. RESULTS Cognitive fatigue was the only unique and significant predictor of cognitive mistakes in both groups, explaining 13.3% of additional variance in the MS group after correcting for age, mood, and physical fatigue. Physical fatigue had no significant impact on cognitive mistakes. While age had an impact on cognitive mistakes and depression in healthy controls, this association was not significant in MS patients. Depression was significantly correlated with cognitive mistakes and cognitive fatigue in MS patients. CONCLUSIONS The interplay of cognitive fatigue and subjective cognitive impairment can be generalized, with the exception of the variables of age and depression, which were shown to have differing impacts on cognitive mistakes in MS patients and healthy controls, respectively. Cognitive fatigue was linked to cognitive mistakes even after correcting for overlapping items in MS patients only. Future research should further investigate the link between cognitive fatigue and attention lapses in daily life by using various objective assessments.
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Affiliation(s)
- Nora Spiegelberg
- Department of Cognitive Rehabilitation, Neurological Rehabilitation Centre Godeshöhe, Bonn, Germany.,Department of Psychology, Humboldt University, Berlin, Germany
| | - Svenja Breuer
- Department of Cognitive Rehabilitation, Neurological Rehabilitation Centre Godeshöhe, Bonn, Germany
| | - Jörn Nielsen
- Department of Cognitive Rehabilitation, Neurological Rehabilitation Centre Godeshöhe, Bonn, Germany
| | - Jochen Saliger
- Department of Cognitive Rehabilitation, Neurological Rehabilitation Centre Godeshöhe, Bonn, Germany
| | - Christian Montag
- Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany.,neuSCAN Laboratory, The Clinical Hospital of the Chengdu Brain Science Institute and Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Hans Karbe
- Department of Cognitive Rehabilitation, Neurological Rehabilitation Centre Godeshöhe, Bonn, Germany
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17
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Zink N, Lenartowicz A, Markett S. A new era for executive function research: On the transition from centralized to distributed executive functioning. Neurosci Biobehav Rev 2021; 124:235-244. [PMID: 33582233 DOI: 10.1016/j.neubiorev.2021.02.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 02/04/2021] [Indexed: 02/07/2023]
Abstract
"Executive functions" (EFs) is an umbrella term for higher cognitive control functions such as working memory, inhibition, and cognitive flexibility. One of the most challenging problems in this field of research has been to explain how the wide range of cognitive processes subsumed as EFs are controlled without an all-powerful but ill-defined central executive in the brain. Efforts to localize control mechanisms in circumscribed brain regions have not led to a breakthrough in understanding how the brain controls and regulates itself. We propose to re-conceptualize EFs as emergent consequences of highly distributed brain processes that communicate with a pool of highly connected hub regions, thus precluding the need for a central executive. We further discuss how graph-theory driven analysis of brain networks offers a unique lens on this problem by providing a reference frame to study brain connectivity in EFs in a holistic way and helps to refine our understanding of the mechanisms underlying EFs by providing new, testable hypotheses and resolves empirical and theoretical inconsistencies in the EF literature.
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Affiliation(s)
- Nicolas Zink
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, United States.
| | - Agatha Lenartowicz
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, United States
| | - Sebastian Markett
- Department of Psychology, Humboldt University Berlin, Berlin, Germany
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18
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Montag C, Ebstein RP, Jawinski P, Markett S. Molecular genetics in psychology and personality neuroscience: On candidate genes, genome wide scans, and new research strategies. Neurosci Biobehav Rev 2020; 118:163-174. [DOI: 10.1016/j.neubiorev.2020.06.020] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 06/11/2020] [Accepted: 06/11/2020] [Indexed: 12/16/2022]
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19
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Markett S, Reuter M, Sindermann C, Montag C. Cognitive failure susceptibility and personality: Self-directedness predicts everyday cognitive failure. Personality and Individual Differences 2020. [DOI: 10.1016/j.paid.2020.109916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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20
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Markett S, Jawinski P, Kirsch P, Gerchen MF. Specific and segregated changes to the functional connectome evoked by the processing of emotional faces: A task-based connectome study. Sci Rep 2020; 10:4822. [PMID: 32179856 PMCID: PMC7076018 DOI: 10.1038/s41598-020-61522-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Accepted: 02/28/2020] [Indexed: 12/20/2022] Open
Abstract
The functional connectome is organized into several separable intrinsic connectivity networks (ICNs) that are thought to be the building blocks of the mind. However, it is currently not well understood how these networks are engaged by emotionally salient information, and how such engagement fits into emotion theories. The current study assessed how ICNs respond during the processing of angry and fearful faces in a large sample (N = 843) and examined how connectivity changes relate to the ICNs. All ICNs were modulated by emotional faces and showed functional interactions, a finding which is in line with the "theory of constructed emotions" that assumes that basic emotion do not arise from separable ICNs but from their interplay. We further identified a set of brain regions whose connectivity changes during the tasks suggest a special role as "affective hubs" in the brain. While hubs were located in all ICNs, we observed high selectivity for the amygdala within the subcortical network, a finding which also fits into "primary emotion" theory. The topology of hubs corresponded closely to a set of brain regions that has been implicated in anxiety disorders, pointing towards a clinical relevance of the present findings. The present data are the most comprehensive mapping of connectome-wide changes in functionally connectivity evoked by an affective processing task thus far and support two competing views on how emotions are represented in the brain, suggesting that the connectome paradigm might help with unifying the two ideas.
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Affiliation(s)
| | | | - Peter Kirsch
- Central Institute of Mental Health, University of Heidelberg/Medical Faculty Mannheim, Mannheim, Germany
- Bernstein Center for Computational Neuroscience Heidelberg/Mannheim, Mannheim, Germany
| | - Martin F Gerchen
- Central Institute of Mental Health, University of Heidelberg/Medical Faculty Mannheim, Mannheim, Germany
- Bernstein Center for Computational Neuroscience Heidelberg/Mannheim, Mannheim, Germany
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21
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Nielsen J, Schnell R, Markett S, Saliger J, Arling V, Karbe H. Welche Bedeutung haben „nicht-sichtbare MS-Symptome“ (Fatigue, kognitive Dysfunktion, Depression) für die berufliche Leistungsbeurteilung von Multiple-Sklerose-Erkrankten 2 Jahre nach der stationären Primärevaluation? Zeitschrift für Neuropsychologie 2020. [DOI: 10.1024/1016-264x/a000280] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Zusammenfassung. Multiple Sklerose (MS) kann bereits in der mittleren Lebensphase (36 bis 55 Jahre) die berufliche Teilhabe entscheidend beeinflussen. Diese Studie untersuchte, inwieweit sich 86 MS-Erkrankte mit unterschiedlicher beruflicher Leistungseinstufung bezüglich ausgewählter Studienvariablen zum Zeitpunkt der Fragebogenerhebung (T1) und der stationären Entlassung (T0) unterschieden. Die Gesamtstichprobe zeigte leichtgradige kognitive Dysfunktionen und ausgeprägte Fatiguewerte. Mittels logistischer Regressionsanalysen prädizierten die Variablen Tonische Alertness (TAP), Motorische Fatigue (FSMC), Expanded Disability Status Scale (EDSS) und Cognitive Reserve Index questionnaire (CRIq; CRI-Arbeit) die Leistungsbeurteilung bei T0 zu 71 %. Den Variablen Krankheitsdauer, Motorische Fatigue, Selbstwirksamkeit (FERUS) und Neuropsychologischer Störungsindex gelang dies zu 67 % bei T1. Die Studienergebnisse zeigen, dass motorische Fatigue und (spezifische und globale) neuropsychologische Marker ein relevantes Erklärungspotenzial hinsichtlich der Erwerbseinstufung von MS-Erkrankten besitzen. Zudem scheint die Selbstwirksamkeit die Erwerbsfähigkeit positiv zu beeinflussen.
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Affiliation(s)
- Jörn Nielsen
- Abteilung für Kognitive Rehabilitation, Neurologisches Rehabilitationszentrum Godeshöhe e. V., Bonn
| | - Ruth Schnell
- Abteilung für Kognitive Rehabilitation, Neurologisches Rehabilitationszentrum Godeshöhe e. V., Bonn
- Institut für Psychologie, Lehr- und Forschungsgebiet Gesundheitspsychologie, RWTH Aachen
| | | | - Jochen Saliger
- Abteilung für Kognitive Rehabilitation, Neurologisches Rehabilitationszentrum Godeshöhe e. V., Bonn
| | - Viktoria Arling
- Institut für Psychologie, Lehr- und Forschungsgebiet Gesundheitspsychologie, RWTH Aachen
| | - Hans Karbe
- Abteilung für Kognitive Rehabilitation, Neurologisches Rehabilitationszentrum Godeshöhe e. V., Bonn
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22
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Sariyska R, Markett S, Lachmann B, Montag C. What Does Our Personality Say About Our Dietary Choices? Insights on the Associations Between Dietary Habits, Primary Emotional Systems and the Dark Triad of Personality. Front Psychol 2019; 10:2591. [PMID: 31824377 PMCID: PMC6883900 DOI: 10.3389/fpsyg.2019.02591] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 10/31/2019] [Indexed: 11/13/2022] Open
Abstract
The awareness of the consequences of consuming animal products for the environment and one's own health has been growing in recent years. The aim of the present research project was to examine the relationship between individual differences in biologically rooted primary emotional systems arising from phylogenetically old brain areas and dietary habits including being a vegan/vegetarian or omnivore (Study 1). Additionally, the link between the Dark Triad personality traits and dietary habits was investigated (also Study 1). In Study 2 it was aimed to replicate the associations between the Dark Triad traits and dietary habits in a new sample. In total 1140 (Study 1) and 444 (Study 2) participants took part in the research project. The Affective Neuroscience Personality Scales (ANPS) were applied to assess individual differences in six primary emotional systems. The Short Dark Triad Scale (SD3) was administered to assess individual differences in Machiavellianism, psychopathy and narcissism. The eating style of participants was measured with the Eating Behavior Questionnaire (EBQ). Results of Study 1 demonstrated higher CARE, SADNESS and spirituality scores, and lower PLAY scores in vegans/vegetarians than in omnivores. However, after the sex of the participants was included in the model, the effect on CARE got weaker. Additionally, omnivores scored higher on Machiavellianism, however, this association disappeared when sex was added to the model. In Study 2, higher scores in Machiavellianism, narcissism and psychopathy were reported for the group of omnivores compared to vegans/vegetarians, however, those effects got weaker or disappeared after the sex of participants was added to the model. The present research project adds to the literature by investigating the ANPS model and the Dark Triad of personality in the context of eating style for the first time. The findings of these two studies might help to better understand how people following different types of diet, might differ in their personalities.
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Affiliation(s)
- Rayna Sariyska
- Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
| | - Sebastian Markett
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Bernd Lachmann
- Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
| | - Christian Montag
- Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
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23
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Zimmermann J, Deris N, Montag C, Reuter M, Felten A, Becker B, Weber B, Markett S. Corrigendum to “A common polymorphism on the oxytocin receptor gene (rs2268498) and resting-state functional connectivity of amygdala subregions - A genetic imaging study” [NeuroImage 179 (2018) 1–10]. Neuroimage 2019; 194:303-304. [DOI: 10.1016/j.neuroimage.2019.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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Montag C, Bleek B, Reuter M, Müller T, Weber B, Faber J, Markett S. Ventral striatum and stuttering: Robust evidence from a case-control study applying DARTEL. Neuroimage Clin 2019; 23:101890. [PMID: 31255948 PMCID: PMC6606830 DOI: 10.1016/j.nicl.2019.101890] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 05/30/2019] [Accepted: 06/04/2019] [Indexed: 10/26/2022]
Abstract
A prominent theory of developmental stuttering highlights (dys-)function of the basal ganglia (and in particular the ventral striatum) as a main neural mechanism behind this speech disorder. Although the theory is intriguing, studies on gray matter volume differences in the basal ganglia between people who stutter and control persons have reported heterogeneous findings, either showing more or less gray matter volume of the aforementioned brain structure across the brain's hemispheres. Moreover, some studies did not observe any differences at all. From today's perspective several of the earlier studies are rather underpowered and also used less powerful statistical approaches to investigate differences in brain structure between people who stutter and controls. Therefore, the present study contrasted a comparably larger sample of n = 36 people who stutter with n = 34 control persons and applied the state of the art DARTEL algorithm (Diffeomorphic Anatomical Registration Through Exponentiated Lie algebra) to analyze the available brain data. In the present data set stuttering was associated with higher gray matter volume of the right caudate and putamen region of the basal ganglia in patients. Our observation strongly supports a recent finding reporting a larger nucleus accumbens in the right hemisphere in people who stutter when compared to control persons. The present findings are discussed in the context of both compensatory effects of the brain and putative therapeutic effects due to treatment of stuttering.
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Affiliation(s)
- Christian Montag
- Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Germany.
| | - Benjamin Bleek
- Department of Psychology, University of Bonn, Bonn, Germany
| | - Martin Reuter
- Department of Psychology, University of Bonn, Bonn, Germany; Center for Economics and Neuroscience (CENs), University of Bonn, Bonn, Germany
| | - Thilo Müller
- Department for the Treatment of Stuttering, LVR Clinic Bonn, Bonn, Germany
| | - Bernd Weber
- Center for Economics and Neuroscience (CENs), University of Bonn, Bonn, Germany; Department for NeuroCognition, Life & Brain Center, Germany; Institute of Experimental Epileptology and Cognition Research, University Hospital of Bonn, Germany
| | - Jennifer Faber
- Department of Neurology, University Hospital Bonn, Bonn, Germany; German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Sebastian Markett
- Department of Psychology, Humboldt Universität zu Berlin, Berlin, Germany.
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25
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van den Heuvel MP, Scholtens LH, van der Burgh HK, Agosta F, Alloza C, Arango C, Auyeung B, Baron-Cohen S, Basaia S, Benders MJNL, Beyer F, Booij L, Braun KPJ, Filho GB, Cahn W, Cannon DM, Chaim-Avancini TM, Chan SSM, Chen EYH, Crespo-Facorro B, Crone EA, Dannlowski U, de Zwarte SMC, Dietsche B, Donohoe G, Plessis SD, Durston S, Díaz-Caneja CM, Díaz-Zuluaga AM, Emsley R, Filippi M, Frodl T, Gorges M, Graff B, Grotegerd D, Gąsecki D, Hall JM, Holleran L, Holt R, Hopman HJ, Jansen A, Janssen J, Jodzio K, Jäncke L, Kaleda VG, Kassubek J, Masouleh SK, Kircher T, Koevoets MGJC, Kostic VS, Krug A, Lawrie SM, Lebedeva IS, Lee EHM, Lett TA, Lewis SJG, Liem F, Lombardo MV, Lopez-Jaramillo C, Margulies DS, Markett S, Marques P, Martínez-Zalacaín I, McDonald C, McIntosh AM, McPhilemy G, Meinert SL, Menchón JM, Montag C, Moreira PS, Morgado P, Mothersill DO, Mérillat S, Müller HP, Nabulsi L, Najt P, Narkiewicz K, Naumczyk P, Oranje B, Ortiz-Garcia de la Foz V, Peper JS, Pineda JA, Rasser PE, Redlich R, Repple J, Reuter M, Rosa PGP, Ruigrok ANV, Sabisz A, Schall U, Seedat S, Serpa MH, Skouras S, Soriano-Mas C, Sousa N, Szurowska E, Tomyshev AS, Tordesillas-Gutierrez D, Valk SL, van den Berg LH, van Erp TGM, van Haren NEM, van Leeuwen JMC, Villringer A, Vinkers CH, Vollmar C, Waller L, Walter H, Whalley HC, Witkowska M, Witte AV, Zanetti MV, Zhang R, de Lange SC. 10Kin1day: A Bottom-Up Neuroimaging Initiative. Front Neurol 2019; 10:425. [PMID: 31133958 PMCID: PMC6524614 DOI: 10.3389/fneur.2019.00425] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 04/08/2019] [Indexed: 01/11/2023] Open
Abstract
We organized 10Kin1day, a pop-up scientific event with the goal to bring together neuroimaging groups from around the world to jointly analyze 10,000+ existing MRI connectivity datasets during a 3-day workshop. In this report, we describe the motivation and principles of 10Kin1day, together with a public release of 8,000+ MRI connectome maps of the human brain.
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Affiliation(s)
- Martijn P. van den Heuvel
- Connectome Lab, CTG, CNCR, VU Amsterdam, Amsterdam, Netherlands
- UMC Utrecht Brain Center, Department of Psychiatry, University Medical Center Utrecht, Utrecht, Netherlands
| | - Lianne H. Scholtens
- Connectome Lab, CTG, CNCR, VU Amsterdam, Amsterdam, Netherlands
- UMC Utrecht Brain Center, Department of Psychiatry, University Medical Center Utrecht, Utrecht, Netherlands
| | - Hannelore K. van der Burgh
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
| | - Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Clara Alloza
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
- Department of Child and Adolescent Psychiatry, IiSGM, CIBERSAM, School of Medicine, Hospital General Universitario Gregorio Marañón, Universidad Complutense, Madrid, Spain
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, IiSGM, CIBERSAM, School of Medicine, Hospital General Universitario Gregorio Marañón, Universidad Complutense, Madrid, Spain
| | - Bonnie Auyeung
- Department of Psychiatry, Autism Research Centre, University of Cambridge, Cambridge, United Kingdom
| | - Simon Baron-Cohen
- Department of Psychiatry, Autism Research Centre, University of Cambridge, Cambridge, United Kingdom
| | - Silvia Basaia
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Manon J. N. L. Benders
- Department of Neonatology, UMC Utrecht Brain Center, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, Netherlands
| | - Frauke Beyer
- Department of Neurology, CRC “Obesity Mechanisms”, Subproject A1, Max Planck Institute for Human Cognitive and Brain Sciences, University of Leipzig, Leipzig, Germany
| | - Linda Booij
- Department of Psychology, Concordia University, Montreal, QC, Canada
| | - Kees P. J. Braun
- Department of Child Neurology, UMC Utrecht Brain Center, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, Netherlands
| | - Geraldo Busatto Filho
- Laboratory of Psychiatric Neuroimaging (LIM21), Faculdade de Medicina, Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - Wiepke Cahn
- UMC Utrecht Brain Center, Department of Psychiatry, University Medical Center Utrecht, Utrecht, Netherlands
| | - Dara M. Cannon
- Clinical Neuroimaging Laboratory, Centre for Neuroimaging and Cognitive Genomics (NICOG), NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Tiffany M. Chaim-Avancini
- Laboratory of Psychiatric Neuroimaging (LIM21), Faculdade de Medicina, Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - Sandra S. M. Chan
- Department of Psychiatry, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, China
| | - Eric Y. H. Chen
- Department of Psychiatry, University of Hong Kong, Hong Kong, China
| | - Benedicto Crespo-Facorro
- Psychiatry Unit, Department of Medicine and Psychiatry, Hospital Universitario Marques de Valdecilla, IDIVAL, CIBERSAM, Hosptial Universitario Virgen del Rocío, Universidad de Seville, Seville, Spain
| | - Eveline A. Crone
- Brain and Development Research Center, Leiden University, Leiden, Netherlands
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Sonja M. C. de Zwarte
- UMC Utrecht Brain Center, Department of Psychiatry, University Medical Center Utrecht, Utrecht, Netherlands
| | - Bruno Dietsche
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Gary Donohoe
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging and Cognitive Genomics Centre and NCBES Galway Neuroscience Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland, Galway, Ireland
| | - Stefan Du Plessis
- Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | - Sarah Durston
- UMC Utrecht Brain Center, Department of Psychiatry, University Medical Center Utrecht, Utrecht, Netherlands
| | - Covadonga M. Díaz-Caneja
- Department of Child and Adolescent Psychiatry, IiSGM, CIBERSAM, School of Medicine, Hospital General Universitario Gregorio Marañón, Universidad Complutense, Madrid, Spain
| | - Ana M. Díaz-Zuluaga
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Robin Emsley
- Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Thomas Frodl
- Department of Psychiatry and Psychotherapy, University Hospital, Otto von Guericke University, Magdeburg, Germany
| | - Martin Gorges
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Beata Graff
- Department of Hypertension and Diabetology, Medical University of Gdańsk, Gdańsk, Poland
| | | | - Dariusz Gąsecki
- Department of Neurology of Adults, Medical University of Gdańsk, Gdańsk, Poland
| | - Julie M. Hall
- Parkinson's Disease Research Clinic, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Laurena Holleran
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging and Cognitive Genomics Centre and NCBES Galway Neuroscience Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland, Galway, Ireland
| | - Rosemary Holt
- Department of Psychiatry, Autism Research Centre, University of Cambridge, Cambridge, United Kingdom
| | - Helene J. Hopman
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong, China
| | - Andreas Jansen
- Department of Psychiatry and Center for Mind, Brain and Behaviour, University of Marburg, Marburg, Germany
| | - Joost Janssen
- Department of Child and Adolescent Psychiatry, IiSGM, CIBERSAM, School of Medicine, Hospital General Universitario Gregorio Marañón, Universidad Complutense, Madrid, Spain
| | | | - Lutz Jäncke
- Division of Neuropsychology, University of Zurich, Zurich, Switzerland
| | - Vasiliy G. Kaleda
- Department of Endogenous Mental Disorders, Mental Health Research Center, Moscow, Russia
| | - Jan Kassubek
- Department of Neurology, University of Ulm, Ulm, Germany
| | | | - Tilo Kircher
- Department of Psychiatry and Center for Mind, Brain and Behaviour, University of Marburg, Marburg, Germany
| | - Martijn G. J. C. Koevoets
- UMC Utrecht Brain Center, Department of Psychiatry, University Medical Center Utrecht, Utrecht, Netherlands
| | - Vladimir S. Kostic
- Clinic of Neurology, School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Axel Krug
- Department of Psychiatry and Center for Mind, Brain and Behaviour, University of Marburg, Marburg, Germany
| | - Stephen M. Lawrie
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Irina S. Lebedeva
- Laboratory of Neuroimaging and Multimodal Analysis, Mental Health Research Center, Moscow, Russia
| | - Edwin H. M. Lee
- Department of Psychiatry, University of Hong Kong, Hong Kong, China
| | - Tristram A. Lett
- Department of Psychiatry and Psychotherapy, Division of Mind and Brain Research, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Simon J. G. Lewis
- Parkinson's Disease Research Clinic, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Franziskus Liem
- University Research Priority Program “Dynamics of Healthy Aging”, University of Zurich, Zurich, Switzerland
| | - Michael V. Lombardo
- Department of Psychiatry, Autism Research Centre, University of Cambridge, Cambridge, United Kingdom
| | - Carlos Lopez-Jaramillo
- Mood Disorders Program, Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Hospital Universitario San Vicente Fundación, Universidad de Antioquia, Medellín, Colombia
| | - Daniel S. Margulies
- Frontlab, Centre National de la Recherche Scientifique, Institut du Cerveau et de la Moelle Épinière, UMR 7225, Paris, France
| | - Sebastian Markett
- Department of Psychology, Humboldt Universität zu Berlin, Berlin, Germany
| | - Paulo Marques
- School of Medicine, Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal
| | - Ignacio Martínez-Zalacaín
- Department of Psychiatry, Bellvitge Biomedical Research Institute-IDIBELL and CIBERSAM, Barcelona, Spain
| | - Colm McDonald
- Clinical Neuroimaging Laboratory, Centre for Neuroimaging and Cognitive Genomics (NICOG), NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Andrew M. McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Genevieve McPhilemy
- Clinical Neuroimaging Laboratory, Centre for Neuroimaging and Cognitive Genomics (NICOG), NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | | | - José M. Menchón
- Department of Psychiatry, Bellvitge Biomedical Research Institute-IDIBELL and CIBERSAM, Barcelona, Spain
| | - Christian Montag
- Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
| | - Pedro S. Moreira
- School of Medicine, Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal
| | - Pedro Morgado
- School of Medicine, Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal
| | - David O. Mothersill
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging and Cognitive Genomics Centre and NCBES Galway Neuroscience Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland, Galway, Ireland
| | - Susan Mérillat
- University Research Priority Program “Dynamics of Healthy Aging”, University of Zurich, Zurich, Switzerland
| | | | - Leila Nabulsi
- Clinical Neuroimaging Laboratory, Centre for Neuroimaging and Cognitive Genomics (NICOG), NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Pablo Najt
- Clinical Neuroimaging Laboratory, Centre for Neuroimaging and Cognitive Genomics (NICOG), NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Krzysztof Narkiewicz
- Department of Hypertension and Diabetology, Medical University of Gdańsk, Gdańsk, Poland
| | | | - Bob Oranje
- UMC Utrecht Brain Center, Department of Psychiatry, University Medical Center Utrecht, Utrecht, Netherlands
| | - Victor Ortiz-Garcia de la Foz
- Psychiatry Unit, Department of Medicine and Psychiatry, IDIVAL, CIBERSAM, Hospital Universitario Marques de Valdecilla, Santander, Spain
| | - Jiska S. Peper
- Brain and Development Research Center, Leiden University, Leiden, Netherlands
| | - Julian A. Pineda
- Research Group, Instituto de Alta Tecnología Médica, Universidad de Antioquia, Medellín, Colombia
| | - Paul E. Rasser
- Priority Centre for Brain and Mental Health Research, The University of Newcastle, Newcastle, NSW, Australia
| | - Ronny Redlich
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Jonathan Repple
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Martin Reuter
- Department of Psychology, Humboldt Universität zu Berlin, Berlin, Germany
| | - Pedro G. P. Rosa
- Laboratory of Psychiatric Neuroimaging (LIM21), Faculdade de Medicina, Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - Amber N. V. Ruigrok
- Department of Psychiatry, Autism Research Centre, University of Cambridge, Cambridge, United Kingdom
| | - Agnieszka Sabisz
- 2nd Department of Radiology, Medical University of Gdańsk, Gdańsk, Poland
| | - Ulrich Schall
- Priority Centre for Brain and Mental Health Research, The University of Newcastle, Newcastle, NSW, Australia
| | - Soraya Seedat
- Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | - Mauricio H. Serpa
- Laboratory of Psychiatric Neuroimaging (LIM21), Departamento de Psiquiatria, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Stavros Skouras
- BarcelonaBeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - Carles Soriano-Mas
- Department of Psychiatry (IDIBELL and CIBERSAM) and Department of Psychobiology and Methodology in Health Sciences (UAB), Bellvitge Biomedical Research Institute-IDIBELL, CIBERSAM and Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Nuno Sousa
- School of Medicine, Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal
| | - Edyta Szurowska
- 2nd Department of Radiology, Medical University of Gdańsk, Gdańsk, Poland
| | - Alexander S. Tomyshev
- Laboratory of Neuroimaging and Multimodal Analysis, Mental Health Research Center, Moscow, Russia
| | - Diana Tordesillas-Gutierrez
- Neuroimaging Unit, Technological Facilities, Valdecilla Biomedical Research Institute IDIVAL, CIBERSAM, Santander, Spain
| | - Sofie L. Valk
- Institute for Neuroscience and Medicine 7/Institute of Systems Neuroscience, Forschungszentrum Jülich - Heinrich Heine Universitaet Duesseldorf, Jülich, Germany
| | - Leonard H. van den Berg
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
| | - Theo G. M. van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, United States
| | - Neeltje E. M. van Haren
- UMC Utrecht Brain Center, Department of Psychiatry, University Medical Center Utrecht, Utrecht, Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Judith M. C. van Leeuwen
- Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
| | - Arno Villringer
- Departments of Neurology, Cognitive Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, University of Leipzig, Leipzig, Germany
| | - Christiaan H. Vinkers
- Departments of Psychiatry, Anatomy and Neurosciences, Amsterdam UMC, Amsterdam, Netherlands
| | - Christian Vollmar
- Department of Neurology, Epilepsy Centre, University of Munich Hospital, Munich, Germany
| | - Lea Waller
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy CCM, Charité Universitätsmedizin Berlin, Corporate Member of Berlin Institute of Health, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Henrik Walter
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Berlin Institute of Health, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Heather C. Whalley
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Marta Witkowska
- Institute of Psychology, University of Gdańsk, Gdańsk, Poland
| | - A. Veronica Witte
- Department of Neurology, CRC “Obesity Mechanisms”, Subproject A1, Max Planck Institute for Human Cognitive and Brain Sciences, University of Leipzig, Leipzig, Germany
| | - Marcus V. Zanetti
- Laboratory of Psychiatric Neuroimaging (LIM21), Faculdade de Medicina, Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, São Paulo, Brazil
- Instituto de Ensino e Pesquisa, Hospital Sírio-Libanês, Universidade de São Paulo, São Paulo, Brazil
| | - Rui Zhang
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Siemon C. de Lange
- Connectome Lab, CTG, CNCR, VU Amsterdam, Amsterdam, Netherlands
- UMC Utrecht Brain Center, Department of Psychiatry, University Medical Center Utrecht, Utrecht, Netherlands
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Zhou F, Montag C, Sariyska R, Lachmann B, Reuter M, Weber B, Trautner P, Kendrick KM, Markett S, Becker B. Orbitofrontal gray matter deficits as marker of Internet gaming disorder: converging evidence from a cross-sectional and prospective longitudinal design. Addict Biol 2019; 24:100-109. [PMID: 29057579 DOI: 10.1111/adb.12570] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 07/28/2017] [Accepted: 09/11/2017] [Indexed: 01/16/2023]
Abstract
Internet gaming disorder represents a growing health issue. Core symptoms include unsuccessful attempts to control the addictive patterns of behavior and continued use despite negative consequences indicating a loss of regulatory control. Previous studies revealed brain structural deficits in prefrontal regions subserving regulatory control in individuals with excessive Internet use. However, because of the cross-sectional nature of these studies, it remains unknown whether the observed brain structural deficits preceded the onset of excessive Internet use. Against this background, the present study combined a cross-sectional and longitudinal design to determine the consequences of excessive online video gaming. Forty-one subjects with a history of excessive Internet gaming and 78 gaming-naive subjects were enrolled in the present study. To determine effects of Internet gaming on brain structure, gaming-naive subjects were randomly assigned to 6 weeks of daily Internet gaming (training group) or a non-gaming condition (training control group). At study inclusion, excessive Internet gamers demonstrated lower right orbitofrontal gray matter volume compared with Internet gaming-naive subjects. Within the Internet gamers, a lower gray matter volume in this region was associated with higher online video gaming addiction severity. Longitudinal analysis revealed initial evidence that left orbitofrontal gray matter volume decreased during the training period in the training group as well as in the group of excessive gamers. Together, the present findings suggest an important role of the orbitofrontal cortex in the development of Internet addiction with a direct association between excessive engagement in online gaming and structural deficits in this brain region.
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Affiliation(s)
- Feng Zhou
- Key Laboratory for NeuroInformation, Center for Information in Medicine, School of Life Science and Technology; University of Electronic Science and Technology of China; China
| | - Christian Montag
- Key Laboratory for NeuroInformation, Center for Information in Medicine, School of Life Science and Technology; University of Electronic Science and Technology of China; China
- Institute of Psychology and Education; Ulm University; Germany
| | - Rayna Sariyska
- Institute of Psychology and Education; Ulm University; Germany
| | - Bernd Lachmann
- Institute of Psychology and Education; Ulm University; Germany
| | - Martin Reuter
- Department of Psychology; University of Bonn; Germany
- Center for Economics and Neuroscience; University of Bonn; Germany
| | - Bernd Weber
- Center for Economics and Neuroscience; University of Bonn; Germany
- Department for NeuroCognition; Life & Brain Center; Germany
- Department of Epileptology; University Hospital of Bonn; Germany
| | - Peter Trautner
- Department for NeuroCognition; Life & Brain Center; Germany
| | - Keith M. Kendrick
- Key Laboratory for NeuroInformation, Center for Information in Medicine, School of Life Science and Technology; University of Electronic Science and Technology of China; China
| | - Sebastian Markett
- Department of Psychology; University of Bonn; Germany
- Center for Economics and Neuroscience; University of Bonn; Germany
| | - Benjamin Becker
- Key Laboratory for NeuroInformation, Center for Information in Medicine, School of Life Science and Technology; University of Electronic Science and Technology of China; China
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27
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Affiliation(s)
- Sebastian Markett
- Department of Psychology, Humboldt University Berlin, Berlin, Germany
| | - Olga A. Wudarczyk
- Department of Psychiatry & Psychotherapy, RWTH Aachen, Aachen, Germany
| | - Bharat B. Biswal
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, United States
- MOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - Philippe Jawinski
- Department of Psychology, Humboldt University Berlin, Berlin, Germany
| | - Christian Montag
- MOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
- Department of Molecular Psychology, Insitute of Psychology and Education, Ulm University, Ulm, Germany
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28
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Bewernick BH, Kilian HM, Schmidt K, Reinfeldt RE, Kayser S, Coenen VA, Markett S, Schlaepfer TE. Deep brain stimulation of the supero-lateral branch of the medial forebrain bundle does not lead to changes in personality in patients suffering from severe depression. Psychol Med 2018; 48:2684-2692. [PMID: 29493478 DOI: 10.1017/s0033291718000296] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND Reports of changes in patients' social behavior during deep brain stimulation (DBS) raised the question whether DBS induces changes in personality. This study explored if (1) DBS is associated with changes in personality in patients suffering from treatment-resistant depression (TRD), (2) how personality dimensions and depression are associated, and (3) if TRD patients' self-ratings of personality are valid. METHODS TRD patients were assessed before DBS (n = 30), 6 months (t2, n = 21), 2 (t3, n = 17) and 5 years (t4, n = 11) after the initiation of DBS of the supero-lateral branch of the medial forebrain bundle (slMFB-DBS). Personality was measured with the NEO-Five-Factor Inventory (NEO-FFI), depression severity with Hamilton (HDRS), and Montgomery-Åsberg Depression Rating Scale (MADRS). RESULTS Personality dimensions did not change with slMFB-DBS compared with baseline. Extraversion was negatively correlated with HDRS28 (r = -0.48, p < 0.05) and MADRS (r = -0.45, p < 0.05) at t2. Inter-rater reliability was high for the NEO-FFI at baseline (Cronbach's α = 0.74) and at t4 (α = 0.65). Extraversion [t(29) = -5.20; p < 0.001] and openness to experience [t(29) = -6.96; p < 0.001] differed statistically significant from the normative sample, and did not predict the antidepressant response. CONCLUSIONS slMFB-DBS was not associated with a change in personality. The severity of depression was associated with extraversion. Personality of TRD patients differed from the healthy population and did not change with response, indicating a possible scar effect. Self-ratings of personality seem valid to assess personality during TRD.
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Affiliation(s)
| | - Hannah M Kilian
- Division of Interventional Biological Psychiatry,University Hospital Freiburg,Germany
| | - Klaudius Schmidt
- Department of General Psychology I,University of Cologne,Germany
| | - Ruth E Reinfeldt
- Department of Neurodegenerative Diseases and Geronto Psychiatry,University Hospital Bonn,Germany
| | - Sarah Kayser
- Department of Psychiatry and Psychotherapy,University Hospital Mainz,Germany
| | - Volker A Coenen
- Department of Stereotactic and Functional Neurosurgery,University Hospital Freiburg,Germany
| | | | - Thomas E Schlaepfer
- Division of Interventional Biological Psychiatry,University Hospital Freiburg,Germany
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29
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Rudorf S, Baumgartner T, Markett S, Schmelz K, Wiest R, Fischbacher U, Knoch D. Intrinsic connectivity networks underlying individual differences in control-averse behavior. Hum Brain Mapp 2018; 39:4857-4869. [PMID: 30156744 PMCID: PMC6866545 DOI: 10.1002/hbm.24328] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Revised: 06/21/2018] [Accepted: 07/12/2018] [Indexed: 11/10/2022] Open
Abstract
When people sense that another person tries to control their decisions, some people will act against the control, whereas others will not. This individual tendency to control-averse behavior can have far-reaching consequences, such as engagement in illegal activities or noncompliance with medical treatments. Although individual differences in control-averse behavior have been well documented in behavioral studies, their neurological basis is less well understood. Here, we use a neural trait approach to examine whether individual differences in control-averse behavior might be linked to stable brain-based characteristics. To do so, we analyze the association between intrinsic connectivity networks as measured by resting state functional magnetic resonance imaging and control-averse behavior in an economic exchange game. In this game, subjects make choices that are either free or controlled by another person, with real consequences to both interaction partners. We find that the individual level of control-averse behavior can be positively predicted by intrinsic connectivity within the salience network, but not the central executive network or the default mode network. Specifically, subjects with a more prominent connectivity hub in the dorsal anterior cingulate cortex show greater levels of control-averse behavior. This finding provides the first evidence that the heterogeneity in control-averse behavior might originate in systematic differences of the stable functional brain organization.
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Affiliation(s)
- Sarah Rudorf
- Department of Social Psychology and Social NeuroscienceInstitute of Psychology, University of BernBernSwitzerland
- Center for Cognition, Learning and MemoryUniversity of BernBernSwitzerland
| | - Thomas Baumgartner
- Department of Social Psychology and Social NeuroscienceInstitute of Psychology, University of BernBernSwitzerland
- Center for Cognition, Learning and MemoryUniversity of BernBernSwitzerland
| | - Sebastian Markett
- Molecular Psychology, Department of PsychologyHumboldt University BerlinBerlinGermany
| | - Katrin Schmelz
- Department of EconomicsUniversity of KonstanzKonstanzGermany
- Thurgau Institute of EconomicsKreuzlingenSwitzerland
| | - Roland Wiest
- Department of NeuroradiologyInselspitalBernSwitzerland
| | - Urs Fischbacher
- Department of EconomicsUniversity of KonstanzKonstanzGermany
- Thurgau Institute of EconomicsKreuzlingenSwitzerland
| | - Daria Knoch
- Department of Social Psychology and Social NeuroscienceInstitute of Psychology, University of BernBernSwitzerland
- Center for Cognition, Learning and MemoryUniversity of BernBernSwitzerland
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30
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Nielsen J, Saliger J, Montag C, Markett S, Nöhring C, Karbe H. Facing the Unknown: Fear of Progression Could Be a Relevant Psychological Risk Factor for Depressive Mood States among Patients with Multiple Sclerosis. Psychother Psychosom 2018. [PMID: 29533948 DOI: 10.1159/000487329] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- Jörn Nielsen
- Department of Cognitive Rehabilitation, Neurological Rehabilitation Centre Godeshöhe, Bonn, Germany
| | - Jochen Saliger
- Department of Cognitive Rehabilitation, Neurological Rehabilitation Centre Godeshöhe, Bonn, Germany
| | - Christian Montag
- Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany.,Key Laboratory for Neuroinformation/Centre for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | | | | | - Hans Karbe
- Department of Cognitive Rehabilitation, Neurological Rehabilitation Centre Godeshöhe, Bonn, Germany
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31
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Zimmermann J, Deris N, Montag C, Reuter M, Felten A, Becker B, Weber B, Markett S. A common polymorphism on the oxytocin receptor gene (rs2268498) and resting-state functional connectivity of amygdala subregions - A genetic imaging study. Neuroimage 2018; 179:1-10. [DOI: 10.1016/j.neuroimage.2018.06.014] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 05/22/2018] [Accepted: 06/05/2018] [Indexed: 01/09/2023] Open
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32
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Zhao Z, Ma X, Geng Y, Zhao W, Zhou F, Wang J, Markett S, Biswal BB, Ma Y, Kendrick KM, Becker B. Oxytocin differentially modulates specific dorsal and ventral striatal functional connections with frontal and cerebellar regions. Neuroimage 2018; 184:781-789. [PMID: 30266264 DOI: 10.1016/j.neuroimage.2018.09.067] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2017] [Revised: 07/30/2018] [Accepted: 09/24/2018] [Indexed: 12/21/2022] Open
Abstract
Interactions between oxytocin and the basal ganglia are central in current overarching conceptualizations of its broad modulatory effects on behavior. Whereas evidence from animal models emphasizes the critical role of the ventral striatum in the behavioral effects of oxytocin, region-specific contributions of the basal ganglia have not been systematically explored in humans. The present study combined the randomized placebo-controlled administration of oxytocin versus placebo in healthy men (n = 144) with fMRI-based resting-state functional connectivity to determine the modulatory role of oxytocin on the major basal ganglia pathways. Oxytocin specifically increased connectivity between ventral striatal and pallidal nodes with upstream frontal regions, whereas it decreased the strengths of downstream pathways between the dorsal striatum and posterior cerebellum. These pathways have previously been implicated in salience, reward and behavioral flexibility, thus shaping goal-directed behavior. Given the importance of aberrant striatal intrinsic organization in autism, addiction and schizophrenia the present findings may suggest new mechanistic perspectives for the therapeutic potential of oxytocin in these disorders.
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Affiliation(s)
- Zhiying Zhao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaole Ma
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Yayuan Geng
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Weihua Zhao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Feng Zhou
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Jiaojian Wang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Sebastian Markett
- Department of Psychology, Humboldt University Berlin, Berlin, Germany
| | - Bharat B Biswal
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China; Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA
| | - Yina Ma
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute of Brain Research, Beijing Normal University, Beijing, China
| | - Keith M Kendrick
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Benjamin Becker
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
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33
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Prillwitz CC, Rüber T, Reuter M, Montag C, Weber B, Elger CE, Markett S. The salience network and human personality: Integrity of white matter tracts within anterior and posterior salience network relates to the self-directedness character trait. Brain Res 2018; 1692:66-73. [DOI: 10.1016/j.brainres.2018.04.035] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 04/25/2018] [Accepted: 04/27/2018] [Indexed: 01/26/2023]
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34
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Plieger T, Felten A, Melchers M, Markett S, Montag C, Reuter M. Association between a functional polymorphism on the dopamine-β-hydroxylase gene and reward dependence in two independent samples. Personality and Individual Differences 2018. [DOI: 10.1016/j.paid.2017.05.050] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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35
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Duke É, Schnuerch R, Heeren G, Reuter M, Montag C, Markett S. Cortical alpha asymmetry at central and posterior – but not anterior – sites is associated with individual differences in behavioural loss aversion. Personality and Individual Differences 2018. [DOI: 10.1016/j.paid.2017.04.056] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
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36
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Sindermann C, Saliger J, Nielsen J, Karbe H, Markett S, Stavrou M, Montag C. Personality and Primary Emotional Traits: Disentangling Multiple Sclerosis Related Fatigue and Depression. Arch Clin Neuropsychol 2017; 33:552-561. [DOI: 10.1093/arclin/acx104] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Accepted: 10/10/2017] [Indexed: 11/13/2022] Open
Affiliation(s)
- Cornelia Sindermann
- Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
| | - Jochen Saliger
- Neurological Rehabilitation Centre Godeshöhe, Bonn, Germany
| | - Jörn Nielsen
- Neurological Rehabilitation Centre Godeshöhe, Bonn, Germany
| | - Hans Karbe
- Neurological Rehabilitation Centre Godeshöhe, Bonn, Germany
| | - Sebastian Markett
- Department of Psychology, Humboldt University Berlin, Berlin, Germany
| | - Maria Stavrou
- Department of Psychology, Goldsmiths, University of London, London, UK
| | - Christian Montag
- Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
- Key Laboratory for NeuroInformation/Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
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37
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Montag C, Markowetz A, Blaszkiewicz K, Andone I, Lachmann B, Sariyska R, Trendafilov B, Eibes M, Kolb J, Reuter M, Weber B, Markett S. Facebook usage on smartphones and gray matter volume of the nucleus accumbens. Behav Brain Res 2017; 329:221-228. [DOI: 10.1016/j.bbr.2017.04.035] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2017] [Revised: 04/11/2017] [Accepted: 04/17/2017] [Indexed: 02/03/2023]
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38
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Markett S, de Reus MA, Reuter M, Montag C, Weber B, Schoene-Bake JC, van den Heuvel MP. Serotonin and the Brain's Rich Club-Association Between Molecular Genetic Variation on the TPH2 Gene and the Structural Connectome. Cereb Cortex 2017; 27:2166-2174. [PMID: 26975194 DOI: 10.1093/cercor/bhw059] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The rich club comprises a densely mutually connected set of hub regions in the brain, thought to serve as a processing and integration core. We assessed the impact of normal variation of the tryptophane hydroxylase 2 gene's promotor region (TPH2 rs4570625) on structural connectivity of the rich club pathways by means of a candidate gene association design. Tryptophane hydroxylase 2 (TPH2) is a rate-limiting enzyme in the biosynthesis of serotonin and is known to inhibit, in addition to its role as a trans-synaptic messenger, axonal and dendritic growth. The TPH2 T-variant has been associated with reduced mRNA expression and reduced serotonin levels, which may particularly influence the development of macroscale anatomical connectivity. Here, we show larger mean connectivity in the rich club in carriers of the T-variant, suggesting potential effects of upregulation of neural connectivity growth in this central core system. In addition, by edge-removal statistics, we show that the TPH2-associated higher levels of rich club connectivity are of importance for the functioning of the total structural network. The observed association is speculated to result from an effect of serotonin levels on brain development, potentially leading to stronger structural connectivity in heavily interconnected hubs.
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Affiliation(s)
| | - Marcel A de Reus
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, The Netherlands
| | - Martin Reuter
- Department of Psychology.,Center for Economics and Neuroscience
| | | | - Bernd Weber
- Center for Economics and Neuroscience.,Department of Epileptology, University of Bonn, Germany.,Neuroimaging Section, Life and Brain Center, Bonn, Germany
| | - Jan-Christoph Schoene-Bake
- Department of Epileptology, University of Bonn, Germany.,Neuroimaging Section, Life and Brain Center, Bonn, Germany
| | - Martijn P van den Heuvel
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, The Netherlands
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39
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Melchers M, Montag C, Markett S, Niazy N, Groß-Bölting J, Zimmermann J, Reuter M. The OXTR gene, implicit learning and social processing: Does empathy evolve from perceptual skills for details? Behav Brain Res 2017; 329:35-40. [PMID: 28442360 DOI: 10.1016/j.bbr.2017.04.036] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Revised: 04/10/2017] [Accepted: 04/17/2017] [Indexed: 11/25/2022]
Abstract
Oxytocin is an important messenger in the brain that has been linked to a variety of social functions in pharmacological studies. Besides, functional genetic variations on the oxytocin receptor gene have been repeatedly associated with social processing and functioning. Despite this knowledge, there are very few studies investigating the mechanisms that may explain the link between oxytocin and social functions. In the endeavor to fill this gap in the literature, the current study searches for associations between the prominent rs2268498 polymorphism on the oxytocin receptor gene and participants' ability to perceive and store implicit social information, which is a fundamental function in social information processing. N=121 healthy participants were experimentally tested with an implicit learning paradigm, answered questionnaires assessing empathy and autistic traits, and were genotyped for the rs2268498 polymorphism. T-allele carriers (TT and TC genotypes) exhibited significantly better implicit learning performance than carriers of the CC-genotype, and learning performance was positively associated with self-reported empathy and negatively with self-reported autistic traits. Results indicate that differences in implicit perception and storing of environmental details while watching social interactions could be an important mechanism to explain the association between differences in endogenous oxytocin activity and social functioning.
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Affiliation(s)
- Martin Melchers
- Department of Psychology, University of Bonn, Kaiser-Karl-Ring 9, 53111 Bonn, Germany; Laboratory of Neurogenetics, University of Bonn, Kaiser-Karl-Ring 9, 53111 Bonn, Germany.
| | - Christian Montag
- Department of Psychology, University of Ulm, Helmholtzstr. 8/1, Ulm, Germany; Key Laboratory for NeuroInformation/Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Sebastian Markett
- Department of Psychology, University of Bonn, Kaiser-Karl-Ring 9, 53111 Bonn, Germany; Laboratory of Neurogenetics, University of Bonn, Kaiser-Karl-Ring 9, 53111 Bonn, Germany; Center for Economics and Neuroscience (CENs), University of Bonn, Nachtigallenweg 86, 53127 Bonn, Germany
| | - Nawael Niazy
- Department of Psychology, University of Bonn, Kaiser-Karl-Ring 9, 53111 Bonn, Germany
| | - Johanna Groß-Bölting
- Department of Psychology, University of Bonn, Kaiser-Karl-Ring 9, 53111 Bonn, Germany
| | - Jelena Zimmermann
- Department of Psychology, University of Bonn, Kaiser-Karl-Ring 9, 53111 Bonn, Germany
| | - Martin Reuter
- Department of Psychology, University of Bonn, Kaiser-Karl-Ring 9, 53111 Bonn, Germany; Laboratory of Neurogenetics, University of Bonn, Kaiser-Karl-Ring 9, 53111 Bonn, Germany; Center for Economics and Neuroscience (CENs), University of Bonn, Nachtigallenweg 86, 53127 Bonn, Germany
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40
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Eckstein M, Markett S, Kendrick KM, Ditzen B, Liu F, Hurlemann R, Becker B. Oxytocin differentially alters resting state functional connectivity between amygdala subregions and emotional control networks: Inverse correlation with depressive traits. Neuroimage 2017; 149:458-467. [PMID: 28161309 DOI: 10.1016/j.neuroimage.2017.01.078] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Revised: 01/03/2017] [Accepted: 01/31/2017] [Indexed: 02/01/2023] Open
Abstract
The hypothalamic neuropeptide oxytocin (OT) has received increasing attention for its role in modulating social-emotional processes across species. Previous studies on using intranasal-OT in humans point to a crucial engagement of the amygdala in the observed neuromodulatory effects of OT under task and rest conditions. However, the amygdala is not a single homogenous structure, but rather a set of structurally and functionally heterogeneous nuclei that show distinct patterns of connectivity with limbic and frontal emotion-processing regions. To determine potential differential effects of OT on functional connectivity of the amygdala subregions, 79 male participants underwent resting-state fMRI following randomized intranasal-OT or placebo administration. In line with previous studies OT increased the connectivity of the total amygdala with dorso-medial prefrontal regions engaged in emotion regulation. In addition, OT enhanced coupling of the total amygdala with cerebellar regions. Importantly, OT differentially altered the connectivity of amygdala subregions with distinct up-stream cortical nodes, particularly prefrontal/parietal, and cerebellar down-stream regions. OT-induced increased connectivity with cerebellar regions were largely driven by effects on the centromedial and basolateral subregions, whereas increased connectivity with prefrontal regions were largely mediated by right superficial and basolateral subregions. OT decreased connectivity of the centromedial subregions with core hubs of the emotional face processing network in temporal, occipital and parietal regions. Preliminary findings suggest that effects on the superficial amygdala-prefrontal pathway were inversely associated with levels of subclinical depression, possibly indicating that OT modulation may be blunted in the context of increased pathological load. Together, the present findings suggest a subregional-specific modulatory role of OT on amygdala-centered emotion processing networks in humans.
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Affiliation(s)
- Monika Eckstein
- Institute of Medical Psychology, Center for Psychosocial Medicine, University Hospital Heidelberg, D-69115 Heidelberg, Germany
| | - Sebastian Markett
- Department of Psychology, University of Bonn, D-53127 Bonn, Germany; Center for Economics and Neuroscience, University of Bonn, D-53127 Bonn, Germany
| | - Keith M Kendrick
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China
| | - Beate Ditzen
- Institute of Medical Psychology, Center for Psychosocial Medicine, University Hospital Heidelberg, D-69115 Heidelberg, Germany
| | - Fang Liu
- Department of Radiology, University of Wisconsin-Madison, Madison, WI 53705-2275, USA
| | - Rene Hurlemann
- Department of Psychiatry and Division of Medical Psychology, University of Bonn, D-53127 Bonn, Germany
| | - Benjamin Becker
- Key Laboratory for NeuroInformation of Ministry of Education, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China.
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Deris N, Montag C, Reuter M, Weber B, Markett S. Functional connectivity in the resting brain as biological correlate of the Affective Neuroscience Personality Scales. Neuroimage 2017; 147:423-431. [DOI: 10.1016/j.neuroimage.2016.11.063] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Revised: 11/09/2016] [Accepted: 11/26/2016] [Indexed: 11/24/2022] Open
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42
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Markett S, Bleek B, Reuter M, Prüss H, Richardt K, Müller T, Yaruss JS, Montag C. Impaired motor inhibition in adults who stutter – evidence from speech-free stop-signal reaction time tasks. Neuropsychologia 2016; 91:444-450. [PMID: 27619005 DOI: 10.1016/j.neuropsychologia.2016.09.008] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2015] [Revised: 09/08/2016] [Accepted: 09/09/2016] [Indexed: 02/02/2023]
Affiliation(s)
- Sebastian Markett
- Department of Psychology, University of Bonn, Germany; Center for Economics and Neuroscience, University of Bonn, Germany
| | | | - Martin Reuter
- Department of Psychology, University of Bonn, Germany; Center for Economics and Neuroscience, University of Bonn, Germany
| | - Holger Prüss
- Neurology (Stuttering Therapy), LVR Clinics Bonn, Germany
| | | | - Thilo Müller
- Neurology (Stuttering Therapy), LVR Clinics Bonn, Germany
| | - J Scott Yaruss
- Department of Communication Science & Disorders, University of Pittsburgh, PA, USA
| | - Christian Montag
- Department of Psychology, University of Ulm, Germany; Key Laboratory for Neuroinformation/Center for Information in Medicine, University of Electronic Science and Technology, Chengdu, China
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Montag C, Hall J, Plieger T, Felten A, Markett S, Melchers M, Reuter M. The DRD3 Ser9Gly polymorphism, Machiavellianism and its link to schizotypal personality. Personality and Individual Differences 2016. [DOI: 10.1016/j.paid.2016.05.231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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44
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Waskow S, Markett S, Montag C, Weber B, Trautner P, Kramarz V, Reuter M. Pay What You Want! A Pilot Study on Neural Correlates of Voluntary Payments for Music. Front Psychol 2016; 7:1023. [PMID: 27458416 PMCID: PMC4933710 DOI: 10.3389/fpsyg.2016.01023] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2016] [Accepted: 06/21/2016] [Indexed: 12/31/2022] Open
Abstract
Pay-what-you-want (PWYW) is an alternative pricing mechanism for consumer goods. It describes an exchange situation in which the price for a given good is not set by the seller but freely chosen by the buyer. In recent years, many enterprises have made use of PWYW auctions. The somewhat contra-intuitive success of PWYW has sparked a great deal of behavioral work on economical decision making in PWYW contexts in the past. Empirical studies on the neural basis of PWYW decisions, however, are scarce. In the present paper, we present an experimental protocol to study PWYW decision making while simultaneously acquiring functional magnetic resonance imaging data. Participants have the possibility to buy music either under a traditional “fixed-price” (FP) condition or in a condition that allows them to freely decide on the price. The behavioral data from our experiment replicate previous results on the general feasibility of the PWYW mechanism. On the neural level, we observe distinct differences between the two conditions: In the FP-condition, neural activity in frontal areas during decision-making correlates positively with the participants’ willingness to pay. No such relationship was observed under PWYW conditions in any neural structure. Directly comparing neural activity during PWYW and the FP-condition we observed stronger activity of the lingual gyrus during PWYW decisions. Results demonstrate the usability of our experimental paradigm for future investigations into PWYW decision-making and provides first insights into neural mechanisms during self-determined pricing decisions.
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Affiliation(s)
- Simon Waskow
- Department of Psychology, University of BonnBonn, Germany; Department of Philosophy, University of BonnBonn, Germany
| | - Sebastian Markett
- Department of Psychology, University of BonnBonn, Germany; Center for Economics and Neuroscience, University of BonnBonn, Germany
| | - Christian Montag
- Institute of Psychology and Education, Ulm UniversityUlm, Germany; Key Laboratory for NeuroInformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of ChinaChengdu, China
| | - Bernd Weber
- Center for Economics and Neuroscience, University of BonnBonn, Germany; Department of Epileptology, University Hospital BonnBonn, Germany; Department of NeuroCognition, Life and Brain Center BonnBonn, Germany
| | - Peter Trautner
- Center for Economics and Neuroscience, University of BonnBonn, Germany; Department of NeuroCognition, Life and Brain Center BonnBonn, Germany
| | - Volkmar Kramarz
- Department of Sound Studies, University of Bonn Bonn, Germany
| | - Martin Reuter
- Department of Psychology, University of BonnBonn, Germany; Center for Economics and Neuroscience, University of BonnBonn, Germany
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45
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Markett S, Heeren G, Montag C, Weber B, Reuter M. Loss aversion is associated with bilateral insula volume. A voxel based morphometry study. Neurosci Lett 2016; 619:172-6. [PMID: 27012426 DOI: 10.1016/j.neulet.2016.03.029] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2015] [Revised: 03/18/2016] [Accepted: 03/19/2016] [Indexed: 10/22/2022]
Abstract
Loss aversion is a decision bias, reflecting a greater sensitivity to losses than to gains in a decision situation. Recent neuroscientific research has shown that mesocorticolimbic structures like ventromedial prefrontal cortex and the ventral striatum constitute a bidirectional neural system that processes gains and losses and exhibits a neural basis of loss aversion. On a functional and structural level, the amygdala and insula also seem to play an important role in the processing of loss averse behavior. By applying voxel-based morphometry to structural brain images in N=41 healthy participants, the current study provides further evidence for the relationship of brain structure and loss aversion. The results show a negative correlation of gray matter volume in bilateral posterior insula as well as left medial frontal gyrus with individual loss aversion. Hence, higher loss aversion is associated with lower gray matter volume in these brain areas. Both structures have been discussed to play important roles in the brain's salience network, where the posterior insula is involved in interoception and the detection of salience. The medial frontal gyrus might impact decision making through its dense connections with the anterior cingulate cortex. A possible explanation for the present finding is that structural differences in these regions alter the processing of losses and salience, possibly biasing decision making towards avoidance of negative outcomes.
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Affiliation(s)
- S Markett
- Department of Psychology, University of Bonn, Germany; Center for Economics and Neuroscience, University of Bonn, Germany.
| | - G Heeren
- Department of Psychology, University of Bonn, Germany
| | - C Montag
- Institute for Psychology and Education, Ulm University, Germany
| | - B Weber
- Center for Economics and Neuroscience, University of Bonn, Germany; Department of Epileptology, University of Bonn, Germany; Life and Brain Center, Department of NeuroCognition, Bonn, Germany
| | - M Reuter
- Department of Psychology, University of Bonn, Germany; Center for Economics and Neuroscience, University of Bonn, Germany
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46
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Voigt G, Montag C, Markett S, Reuter M. On the genetics of loss aversion: An interaction effect of BDNF Val66Met and DRD2/ANKK1 Taq1a. Behav Neurosci 2015; 129:801-11. [PMID: 26501178 DOI: 10.1037/bne0000102] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Loss aversion is the tendency to overweight losses compared with gains in decision situations. Several studies have investigated the neurobiological background of this phenomenon and it was found that activation in the mesolimbic-mesocortical dopamine system during a gambling decision correlates with loss aversion. In a behavioral experiment with N = 143 subjects, the present study investigates the influence of 2 functional single-nucleotide polymorphisms on the BDNF gene (BDNF Val66Met polymorphism) and ANKK1 gene (DRD2 Taq1a/ANKK1 polymorphism), that are known to affect the dopamine system, on loss aversion. Additionally, associations of alexithymia, a personality construct describing the disability to consciously experience emotions in the self, with loss aversion and with the mentioned polymorphisms were assessed using the TAS-20 questionnaire, to replicate associations that have been reported before. Results revealed a significant interaction effect of the 2 polymorphisms on loss aversion. Carriers of the genetic constellation 66Met+/A1+ had the lowest loss aversion scores, compared with all other allelic groups. According to the literature this allelic configuration is characterized by a relatively low D2/3 receptor binding in the striatum and an impaired activity-dependent secretion of BDNF. This is the first study showing that loss aversion is related to naturally occurring differences in dopamine function.
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Bey K, Montag C, Reuter M, Weber B, Markett S. Susceptibility to everyday cognitive failure is reflected in functional network interactions in the resting brain. Neuroimage 2015. [PMID: 26210814 DOI: 10.1016/j.neuroimage.2015.07.041] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
Abstract
The proneness to minor errors and slips in everyday life as assessed by the Cognitive Failures Questionnaire (CFQ) constitutes a trait characteristic and is reflected in stable features of brain structure and function. It is unclear, however, how dynamic interactions of large-scale brain networks contribute to this disposition. To address this question, we performed a high model order independent component analysis (ICA) with subsequent dual regression on resting-state fMRI data from 71 subjects to extract temporal time courses describing the dynamics of 17 resting-state networks (RSN). Dynamic network interactions between all 17 RSN were assessed by linear correlations between networks' time courses. On this basis, we investigated the relationship between subject-level RSN interactions and the susceptibility to everyday cognitive failure. We found that CFQ scores were significantly correlated with the interplay of the cingulo-opercular network (CON) and a posterior parietal network which unifies clusters in the posterior cingulate, precuneus, intraparietal lobules and middle temporal regions. Specifically, a higher positive functional connectivity between these two RSN was indicative of higher proneness to cognitive failure. Both the CON and posterior parietal network are implicated in cognitive functions, such as tonic alertness and executive control. Results indicate that proper checks and balances between the two networks are needed to protect against cognitive failure. Furthermore, we demonstrate that the study of temporal network dynamics in the resting state is a feasible tool to investigate individual differences in cognitive ability and performance.
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Affiliation(s)
- Katharina Bey
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany.
| | | | - Martin Reuter
- Department of Psychology, University of Bonn, Bonn, Germany; Center for Economics and Neuroscience, University of Bonn, Bonn, Germany
| | - Bernd Weber
- Center for Economics and Neuroscience, University of Bonn, Bonn, Germany; Department of Epileptology, University of Bonn, Bonn, Germany; Life & Brain Center, Bonn, Germany
| | - Sebastian Markett
- Department of Psychology, University of Bonn, Bonn, Germany; Center for Economics and Neuroscience, University of Bonn, Bonn, Germany.
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Abstract
INTRODUCTION Research on empathy has a long tradition in clinical research, as deficits in empathy have been found in many mental disorders. Over decades, a large amount of measures for empathy have been developed, but in many cases these have not been analysed with respect to validity. Therefore, this paper aims to relate various assessment methods for empathy, schizotypy and autistic traits to gain knowledge on their convergent and discriminant validity. METHODS A total of N = 108 participants were tested with two of the most widespread empathy questionnaires (Interpersonal Reactivity Index, Empathy Quotient), two behavioural paradigms (Reading the Mind in the Eyes Test, Cambridge Face-Voice Battery) and a rotation task. Furthermore, questionnaires assessing schizotypal and autistic traits were administered. RESULTS Results indicate convergent validity of the applied empathy self-report measures, although their association with measures of schizotypal and autistic traits is inconsistent. However, results of the behavioural testing barely correlate either with the self-report measures or among each other. CONCLUSIONS The questionnaire measures of empathy seem valid and exchangeable, and therefore suitable for capturing self-reported empathy in clinical research. The behavioural paradigms cover distinct endophenotypes of empathy and should only be used for very specific research questions.
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Affiliation(s)
- Martin Melchers
- a Department of Psychology , University of Bonn , Kaiser-Karl-Ring 9, Bonn , Germany
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Markett S, Montag C, Heeren B, Saryiska R, Lachmann B, Weber B, Reuter M. Voxelwise eigenvector centrality mapping of the human functional connectome reveals an influence of the catechol-O-methyltransferase val158met polymorphism on the default mode and somatomotor network. Brain Struct Funct 2015; 221:2755-65. [PMID: 26025199 DOI: 10.1007/s00429-015-1069-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2014] [Accepted: 05/21/2015] [Indexed: 12/29/2022]
Affiliation(s)
- Sebastian Markett
- Department of Psychology, University of Bonn, Kaiser-Karl-Ring 9, 53111, Bonn, Germany.
- Center for Economics and Neuroscience, University of Bonn, Bonn, Germany.
| | | | - Behrend Heeren
- Institute for Numerical Simulation, University of Bonn, Bonn, Germany
| | - Rayna Saryiska
- Department of Psychology, University of Ulm, Ulm, Germany
| | - Bernd Lachmann
- Department of Psychology, University of Ulm, Ulm, Germany
| | - Bernd Weber
- Center for Economics and Neuroscience, University of Bonn, Bonn, Germany
- Life and Brain Center Bonn, Bonn, Germany
- Department of Epileptology, University Clinics Bonn, Bonn, Germany
| | - Martin Reuter
- Department of Psychology, University of Bonn, Kaiser-Karl-Ring 9, 53111, Bonn, Germany
- Center for Economics and Neuroscience, University of Bonn, Bonn, Germany
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