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Kashdan TB, DeWall CN, Pond RS, Silvia PJ, Lambert NM, Fincham FD, Savostyanova AA, Keller PS. Curiosity protects against interpersonal aggression: cross-sectional, daily process, and behavioral evidence. J Pers 2013; 81:87-102. [PMID: 22329537 DOI: 10.1111/j.1467-6494.2012.00783.x] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Curiosity is the propensity to recognize and seek out new information and experience, including an intrinsic interest in learning and developing one's knowledge. With few exceptions, researchers have often ignored the social consequences of being curious. METHOD In four studies using cross-sectional (N = 64), daily diary (Ns = 150 and 110, respectively), and behavioral experimental (N= 132) designs, we tested the hypothesis that individual differences in curiosity are linked to less aggression, even when people are provoked. RESULTS We showed that both trait and daily curiosity were linked to less aggressive responses toward romantic relationship partners and people who caused psychological hurt. In time-lagged analyses, daily curiosity predicted less aggression from one day to the next, with no evidence for the reverse direction. Studies 3 and 4 showed that the inverse association between curiosity and aggression was strongest in close relationships and in fledgling (as opposed to long-lasting) romantic relationships. That is, highly curious people showed evidence of greater context sensitivity. Intensity of hurt feelings and other personality and relationship variables failed to account for these effects. CONCLUSIONS Curiosity is a neglected mechanism of resilience in understanding aggression.
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Marenco S, Stein JL, Savostyanova AA, Sambataro F, Tan HY, Goldman AL, Verchinski BA, Barnett AS, Dickinson D, Apud JA, Callicott JH, Meyer-Lindenberg A, Weinberger DR. Investigation of anatomical thalamo-cortical connectivity and FMRI activation in schizophrenia. Neuropsychopharmacology 2012; 37:499-507. [PMID: 21956440 PMCID: PMC3242311 DOI: 10.1038/npp.2011.215] [Citation(s) in RCA: 118] [Impact Index Per Article: 9.8] [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] [Indexed: 01/31/2023]
Abstract
The purpose of this study was to examine measures of anatomical connectivity between the thalamus and lateral prefrontal cortex (LPFC) in schizophrenia and to assess their functional implications. We measured thalamocortical connectivity with diffusion tensor imaging (DTI) and probabilistic tractography in 15 patients with schizophrenia and 22 age- and sex-matched controls. The relationship between thalamocortical connectivity and prefrontal cortical blood-oxygenation-level-dependent (BOLD) functional activity as well as behavioral performance during working memory was examined in a subsample of 9 patients and 18 controls. Compared with controls, schizophrenia patients showed reduced total connectivity of the thalamus to only one of six cortical regions, the LPFC. The size of the thalamic region with at least 25% of model fibers reaching the LPFC was also reduced in patients compared with controls. The total thalamocortical connectivity to the LPFC predicted working memory task performance and also correlated with LPFC BOLD activation. Notably, the correlation with BOLD activation was accentuated in patients as compared with controls in the ventral LPFC. These results suggest that thalamocortical connectivity to the LPFC is altered in schizophrenia with functional consequences on working memory processing in LPFC.
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Affiliation(s)
- Stefano Marenco
- Clinical Brain Disorders Branch, Genes, Cognition, and Psychosis Program, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA.
| | - Jason L Stein
- Clinical Brain Disorders Branch, Genes, Cognition, and Psychosis Program, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Antonina A Savostyanova
- Clinical Brain Disorders Branch, Genes, Cognition, and Psychosis Program, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Fabio Sambataro
- Brain Center for Motor and Social Cognition, Italian Institute of Technology, Parma, Italy
| | - Hao-Yang Tan
- Clinical Brain Disorders Branch, Genes, Cognition, and Psychosis Program, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Aaron L Goldman
- Clinical Brain Disorders Branch, Genes, Cognition, and Psychosis Program, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Beth A Verchinski
- Clinical Brain Disorders Branch, Genes, Cognition, and Psychosis Program, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Alan S Barnett
- Clinical Brain Disorders Branch, Genes, Cognition, and Psychosis Program, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Dwight Dickinson
- Clinical Brain Disorders Branch, Genes, Cognition, and Psychosis Program, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - José A Apud
- Clinical Brain Disorders Branch, Genes, Cognition, and Psychosis Program, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Joseph H Callicott
- Clinical Brain Disorders Branch, Genes, Cognition, and Psychosis Program, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Germany
| | - Daniel R Weinberger
- Clinical Brain Disorders Branch, Genes, Cognition, and Psychosis Program, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
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Geramita M, van der Veen JW, Barnett AS, Savostyanova AA, Shen J, Weinberger DR, Marenco S. Reproducibility of prefrontal γ-aminobutyric acid measurements with J-edited spectroscopy. NMR Biomed 2011; 24:1089-98. [PMID: 21290458 DOI: 10.1002/nbm.1662] [Citation(s) in RCA: 63] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2010] [Revised: 11/26/2010] [Accepted: 12/03/2010] [Indexed: 05/13/2023]
Abstract
γ-Aminobutyric acid (GABA) is the chief inhibitory neurotransmitter of the human brain, and GABA-ergic dysfunction has been implicated in a variety of neuropsychiatric disorders. Recent MRS techniques have allowed the quantification of GABA concentrations in vivo, and could therefore provide biologically relevant information. Few reports have formally characterized the reproducibility of these techniques, and differences in field strength, acquisition and processing parameters may result in large differences in measured GABA values. Here, we used a J-edited, single-voxel spectroscopy method of measurement of GABA + macromolecules (GABA + ) in the anterior cingulate cortex (ACC) and right frontal white matter (rFWM) at 3 T. We measured the coefficient of variation within subjects (CVw) and intra-class correlation coefficients on two repeated scans obtained from 10 healthy volunteers with processing procedures developed in-house for the quantification of GABA + and other major metabolites. In addition, by segmenting the spectroscopic voxel into cerebrospinal fluid, gray matter and white matter, and employing a linear regression technique to extrapolate metabolite values to pure gray and white matter, we determined metabolite differences between gray and white matter in ACC and rFWM. CVw values for GABA + /creatine, GABA + /H(2) O, GABA + , creatine, partially co-edited glutamate + glutamine (Glx)/creatine, partially co-edited Glx and N-acetylaspartic acid (NAA)/creatine were all below 12% in both ACC and rFWM. After extrapolation to pure gray and pure white matter, CVw values for all metabolites were below 16%. We found metabolite ratios between gray and white matter for GABA + /creatine, GABA + , creatine, partially co-edited Glx and NAA/creatine to be 0.88 ± 0.21 (standard deviation), 1.52 ± 0.32, 1.77 ± 0.4, 2.69 ± 0.74 and 0.70 ± 0.05, respectively. This study validates a reproducible method for the quantification of brain metabolites, and provides information on gray/white matter differences that may be important in the interpretation of results in clinical populations.
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Affiliation(s)
- Matthew Geramita
- Unit for Multimodal Imaging Genetics, Clinical Brain Disorders Branch, National Institute of Mental Health, Bethesda, MD 20892, USA
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Marenco S, Savostyanova AA, van der Veen JW, Geramita M, Stern A, Barnett AS, Kolachana B, Radulescu E, Zhang F, Callicott JH, Straub RE, Shen J, Weinberger DR. Genetic modulation of GABA levels in the anterior cingulate cortex by GAD1 and COMT. Neuropsychopharmacology 2010; 35:1708-17. [PMID: 20357758 PMCID: PMC2891897 DOI: 10.1038/npp.2010.35] [Citation(s) in RCA: 61] [Impact Index Per Article: 4.4] [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] [Indexed: 12/15/2022]
Abstract
Gamma-aminobutyric acid (GABA)-ergic transmission is critical for normal cortical function and is likely abnormal in a variety of neuropsychiatric disorders. We tested the in vivo effects of variations in two genes implicated in GABA function on GABA concentrations in prefrontal cortex of living subjects: glutamic acid decarboxylase 1 (GAD1), which encodes GAD67, and catechol-o-methyltransferase (COMT), which regulates synaptic dopamine in the cortex. We studied six single nucleotide polymorphisms (SNPs) in GAD1 previously associated with risk for schizophrenia or cognitive dysfunction and the val158met polymorphism in COMT in 116 healthy volunteers using proton magnetic resonance spectroscopy. Two of the GAD1 SNPs (rs1978340 (p=0.005) and rs769390 (p=0.004)) showed effects on GABA levels as did COMT val158met (p=0.04). We then tested three SNPs in GAD1 (rs1978340, rs11542313, and rs769390) for interaction with COMT val158met based on previous clinical results. In this model, rs11542313 and COMT val158met showed significant main effects (p=0.001 and 0.003, respectively) and a trend toward a significant interaction (p=0.05). Interestingly, GAD1 risk alleles for schizophrenia were associated with higher GABA/Cre, and Val-Val homozygotes had high GABA/Cre levels when on a GAD1 risk genotype background (N=6). These results support the importance of genetic variation in GAD1 and COMT in regulating prefrontal cortical GABA function. The directionality of the effects, however, is inconsistent with earlier evidence of decreased GABA activity in schizophrenia.
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Affiliation(s)
- Stefano Marenco
- Clinical Brain Disorders Branch, GCAP, IRP, NIMH, Bethesda, MD 20892, USA.
| | - Antonina A Savostyanova
- Clinical Brain Disorders Branch, GCAP, IRP, NIMH, Bethesda, MD, USA,Unit for Multimodal Imaging Genetics, Clinical Brain Disorders Branch, GCAP, IRP, NIMH, Bethesda, MD, USA
| | | | - Matthew Geramita
- Clinical Brain Disorders Branch, GCAP, IRP, NIMH, Bethesda, MD, USA,Unit for Multimodal Imaging Genetics, Clinical Brain Disorders Branch, GCAP, IRP, NIMH, Bethesda, MD, USA
| | - Alexa Stern
- Clinical Brain Disorders Branch, GCAP, IRP, NIMH, Bethesda, MD, USA,Unit for Multimodal Imaging Genetics, Clinical Brain Disorders Branch, GCAP, IRP, NIMH, Bethesda, MD, USA
| | - Alan S Barnett
- Clinical Brain Disorders Branch, GCAP, IRP, NIMH, Bethesda, MD, USA,Unit for Multimodal Imaging Genetics, Clinical Brain Disorders Branch, GCAP, IRP, NIMH, Bethesda, MD, USA
| | | | - Eugenia Radulescu
- Clinical Brain Disorders Branch, GCAP, IRP, NIMH, Bethesda, MD, USA,Unit for Multimodal Imaging Genetics, Clinical Brain Disorders Branch, GCAP, IRP, NIMH, Bethesda, MD, USA
| | - Fengyu Zhang
- Clinical Brain Disorders Branch, GCAP, IRP, NIMH, Bethesda, MD, USA
| | | | - Richard E Straub
- Clinical Brain Disorders Branch, GCAP, IRP, NIMH, Bethesda, MD, USA
| | - Jun Shen
- Magnetic Resonance Spectroscopy Unit, MAP, IRP, NIMH, Bethesda, MD, USA
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