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No evidence for morphometric associations of the amygdala and hippocampus with the five-factor model personality traits in relatively healthy young adults

Published on Sep 20, 2018in PLOS ONE2.776
· DOI :10.1371/journal.pone.0204011
Joshua C. Gray10
Estimated H-index: 10
,
Max M. Owens9
Estimated H-index: 9
+ 1 AuthorsJoshua D. Miller56
Estimated H-index: 56
Abstract
  • References (71)
  • Citations (4)
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2018
4 Authors (Joshua C. Gray, ..., Josh Miller)
46 Citations
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References71
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#1Stuart J. Ritchie (Edin.: University of Edinburgh)H-Index: 26
#2Simon R. Cox (Edin.: University of Edinburgh)H-Index: 20
Last. Ian J. Deary (Edin.: University of Edinburgh)H-Index: 128
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Sex differences in the human brain are of interest for many reasons: for example, there are sex differences in the observed prevalence of psychiatric disorders and in some psychological traits that brain differences might help to explain. We report the largest single-sample study of structural and functional sex differences in the human brain (2750 female, 2466 male participants; mean age 61.7 years, range 44–77 years). Males had higher raw volumes, raw surface areas, and white matter fractional...
78 CitationsSource
#1Sandra Sanchez-Roige (UCSD: University of California, San Diego)H-Index: 18
#2Joshua C. Gray (USU: Uniformed Services University of the Health Sciences)H-Index: 10
Last. Abraham A. Palmer (UCSD: University of California, San Diego)H-Index: 39
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© 2017 John Wiley & Sons Ltd and International Behavioural and Neural Genetics Society Personality traits are the relatively enduring patterns of thoughts, feelings and behaviors that reflect the tendency to respond in certain ways under certain circumstances. Twin and family studies have showed that personality traits are moderately heritable, and can predict various lifetime outcomes, including psychopathology. The Research Domain Criteria characterizes psychiatric diseases as extremes of norm...
12 CitationsSource
#1Silke Klamer (University of Tübingen)H-Index: 5
#2Lena Schwarz (University of Tübingen)H-Index: 3
Last. Thomas Ethofer (University of Tübingen)H-Index: 16
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Neuroticism is one of the “Big Five” personality factors and is characterized by a tendency to experience negative affect. We aimed to investigate how neuroticism influences the neural correlates for processing of emotional facial expressions. 68 healthy participants were presented with emotional dynamic facial stimuli, i.e. happy, neutral or angry, during functional MRI. Brain activations for the contrasts emotional vs. neutral, happy vs. neutral and angry vs. neutral were correlated with indiv...
4 CitationsSource
#1Florian Kurth (Semel Institute for Neuroscience and Human Behavior)H-Index: 8
#2Nicolas Cherbuin (ANU: Australian National University)H-Index: 33
Last. Eileen Luders (Semel Institute for Neuroscience and Human Behavior)H-Index: 4
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Abstract The hippocampal complex, an anatomical composite of several subregions, is known to decrease in size with increasing age. However, studies investigating which subregions are particularly prone to age-related tissue loss revealed conflicting findings. Possible reasons for such inconsistencies may reflect differences between studies in terms of the cohorts examined or techniques applied to define and measure hippocampal subregions. In the present study, we enhanced conventional MR-based i...
8 CitationsSource
#1Nele A. J. De Witte (UGent: Ghent University)H-Index: 3
#2Sven C. Mueller (UGent: Ghent University)H-Index: 21
Anxiety and depression are associated with altered communication within global brain networks and between these networks and the amygdala. Functional connectivity studies demonstrate an effect of anxiety and depression on four critical brain networks involved in top-down attentional control (fronto-parietal network; FPN), salience detection and error monitoring (cingulo-opercular network; CON), bottom-up stimulus-driven attention (ventral attention network; VAN), and default mode (default mode n...
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#1Henk R. Cremers (UvA: University of Amsterdam)H-Index: 9
#2Tor D. Wager (CU: University of Colorado Boulder)H-Index: 72
Last. Tal Yarkoni (University of Texas at Austin)H-Index: 35
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Statistically underpowered studies can result in experimental failure even when all other experimental considerations have been addressed impeccably. In fMRI the combination of a large number of dependent variables, a relatively small number of observations (subjects), and a need to correct for multiple comparisons can decrease statistical power dramatically. This problem has been clearly addressed yet remains controversial—especially in regards to the expected effect sizes in fMRI, and especial...
60 CitationsSource
#1Chelsea E. Sleep (UGA: University of Georgia)H-Index: 7
#2Donald R. Lynam (Purdue University)H-Index: 70
Last. Joshua D. Miller (UGA: University of Georgia)H-Index: 56
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28 CitationsSource
#1Toby Wise ('KCL': King's College London)H-Index: 7
#2Joaquim Radua (KI: Karolinska Institutet)H-Index: 42
Last. Danilo Arnone ('KCL': King's College London)H-Index: 26
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Finding robust brain substrates of mood disorders is an important target for research. The degree to which major depression (MDD) and bipolar disorder (BD) are associated with common and/or distinct patterns of volumetric changes is nevertheless unclear. Furthermore, the extant literature is heterogeneous with respect to the nature of these changes. We report a meta-analysis of voxel-based morphometry (VBM) studies in MDD and BD. We identified studies published up to January 2015 that compared g...
114 CitationsSource
#1Benoit Labonté (ISMMS: Icahn School of Medicine at Mount Sinai)H-Index: 24
#2Olivia Engmann (ISMMS: Icahn School of Medicine at Mount Sinai)H-Index: 5
Last. Eric J. Nestler (ISMMS: Icahn School of Medicine at Mount Sinai)H-Index: 157
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Brain-region-specific RNA-seq from humans with major depressive disorder reveals unique transcriptomic profiles in males and females, with little overlap.
111 CitationsSource
#1Ella Wigmore (Royal Edinburgh Hospital)H-Index: 2
#2Toni-Kim Clarke (Royal Edinburgh Hospital)H-Index: 26
Last. Andrew M. McIntosh (Edin.: University of Edinburgh)H-Index: 75
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Major depressive disorder (MDD) is a heritable and highly debilitating condition. It is commonly associated with subcortical volumetric abnormalities, the most replicated of these being reduced hippocampal volume. Using the most recent published data from Enhancing Neuroimaging Genetics through Meta-analysis (ENIGMA) consortium’s genome-wide association study of regional brain volume, we sought to test whether there is shared genetic architecture between seven subcortical brain volumes and intra...
8 CitationsSource
Cited By4
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#1Zongling He (University of Electronic Science and Technology of China)H-Index: 4
#2Fengmei Lu (University of Electronic Science and Technology of China)H-Index: 5
Last. Yue Yu (University of Electronic Science and Technology of China)H-Index: 1
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OBJECTIVE: Major depressive disorder (MDD) is a neuropsychiatric disorder associated with functional dysconnectivity in emotion regulation system. State characteristics which measure the current presence of depressive symptoms, and trait characteristics which indicate the long-term vulnerability to depression are two important features of MDD. However, the relationships between trait and state characteristics of MDD and functional connectivity (FC) within the emotion regulation system still rema...
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#1David A.A. Baranger (University of Pittsburgh)
#2Lauren R. Few (WashU: Washington University in St. Louis)H-Index: 21
Last. Ryan Bogdan (WashU: Washington University in St. Louis)H-Index: 17
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Abstract Background Borderline personality disorder (BPD) is associated with severe psychiatric presentations and has been linked to variability in brain structure. Dimensional models of borderline personality traits (BPT) have grown influential; however, associations between BPT and brain structure remain poorly understood. Methods We tested whether BPT are associated with regional cortical thickness, cortical surface area, and subcortical volumes (n=152 brain structure metrics) in the Duke Neu...
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#1Panteleimon Giannakopoulos (Geneva College)H-Index: 56
#2Cristelle Rodriguez (Geneva College)H-Index: 11
Last. François Herrmann (University of Geneva)H-Index: 77
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Abstract The relationship between personality profiles and brain integrity in old age is still matter of debate. We examined the association between Big Five factor and facet scores and MRI brain volume changes upon a 54-month follow-up in 65 elderly controls with three neurocognitive assessments (baseline, 18 and 54 months), structural brain MRI (baseline and 54 months), brain amyloid PET during follow-up, and APOE genotyping. Personality was assessed with the Neuroticism Extraversion Openness ...
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#1Courtland S. Hyatt (UGA: University of Georgia)H-Index: 7
#2Michael L. Crowe (UGA: University of Georgia)H-Index: 7
Last. Joshua D. Miller (UGA: University of Georgia)H-Index: 56
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The triarchic model of psychopathy is a recently developed model of psychopathy that identifies three primary domains: Boldness, Meanness, and Disinhibition. These traits overlap substantially with...
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#1Han Lai (Sichuan University)H-Index: 1
#2Song Wang (Sichuan University)H-Index: 8
Last. Qiyong Gong (Sichuan University)H-Index: 62
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#1Aya Kabbara (University of Rennes)H-Index: 5
#2Mahmoud Hassan (University of Rennes)H-Index: 16
Last. Arnaud WeillH-Index: 1
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Identifying the neural substrates underlying the personality traits is a topic of great interest. On the other hand, it is now established that the brain is a dynamic networked system which can be studied using functional connectivity techniques. However, much of the current understanding of personality-related differences in functional connectivity has been obtained through the stationary analysis, which do not capture the complex dynamical properties of brain networks. In this study, we aimed ...
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#1Max M. Owens (UGA: University of Georgia)H-Index: 9
#2Courtland S. Hyatt (UGA: University of Georgia)H-Index: 7
Last. Lawrence H. Sweet (UGA: University of Georgia)H-Index: 32
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