Neuroanatomical basis of harm avoidance personality traits in major depressive disorder

Almeida, 2009, Abnormal amygdala-prefrontal effective connectivity to happy faces differentiates bipolar from major depression, Biol. Psychiatry, 66, 451, 10.1016/j.biopsych.2009.03.024 2013 Bartra, 2013, The valuation system: a coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value, Neuroimage, 76, 412, 10.1016/j.neuroimage.2013.02.063 Bora, 2012, Gray matter abnormalities in Major Depressive Disorder: a meta-analysis of voxel based morphometry studies, J. Affect. Disord., 138, 9, 10.1016/j.jad.2011.03.049 Botvinick, 2015, Motivation and cognitive control: from behavior to neural mechanism, Annu. Rev. Psychol., 66, 83, 10.1146/annurev-psych-010814-015044 Cloninger, 1993, A psychobiological model of temperament and character, Arch. Gen. Psychiatry, 50, 975, 10.1001/archpsyc.1993.01820240059008 Cloninger, 2006, Can personality assessment predict future depression? A twelve-month follow-up of 631 subjects, J. Affect. Disord., 92, 35, 10.1016/j.jad.2005.12.034 Diekhof, 2012, The role of the human ventral striatum and the medial orbitofrontal cortex in the representation of reward magnitude - an activation likelihood estimation meta-analysis of neuroimaging studies of passive reward expectancy and outcome processing, Neuropsychologia, 50, 1252, 10.1016/j.neuropsychologia.2012.02.007 Dolcos, 2016, Optimism and the brain: trait optimism mediates the protective role of the orbitofrontal cortex gray matter volume against anxiety, Soc. Cogn. Affect. Neurosci., 11, 263, 10.1093/scan/nsv106 Drevets, 2008, Brain structural and functional abnormalities in mood disorders: implications for neurocircuitry models of depression, Brain Struct. Funct., 213, 93, 10.1007/s00429-008-0189-x Elovainio, 2004, Temperament and depressive symptoms: a population-based longitudinal study on Cloninger’s psychobiological temperament model, J. Affect. Disord., 83, 227, 10.1016/j.jad.2004.06.005 Farmer, 2009, Temperament and character predictors of depressed mood over a 4-year interval, Depress. Anxiety, 26, 371, 10.1002/da.20459 Felger, 2016, Inflammation is associated with decreased functional connectivity within corticostriatal reward circuitry in depression, Mol. Psychiatry, 21, 1358, 10.1038/mp.2015.168 Fonseka, 2016, Cortical thickness and emotion processing in young adults with mild to moderate depression: a preliminary study, BMC Psychiatry, 16, 38, 10.1186/s12888-016-0750-8 Fox, 2018, International collaborative study to assess cardiovascular risk and evaluate long-term health in cats with preclinical hypertrophic cardiomyopathy and apparently healthy cats: the REVEAL Study, J. Vet. Intern. Med., 32, 930, 10.1111/jvim.15122 Frank, 1991, Conceptualization and rationale for consensus definitions of terms in major depressive disorder. Remission, recovery, relapse, and recurrence, Arch. Gen. Psychiatry, 48, 851, 10.1001/archpsyc.1991.01810330075011 Gardini, 2009, Individual differences in personality traits reflect structural variance in specific brain regions, Brain Res. Bull., 79, 265, 10.1016/j.brainresbull.2009.03.005 Hamilton, 1960, A rating scale for depression, J. Neurol. Neurosurg. Psychiatr., 23, 56, 10.1136/jnnp.23.1.56 Hellewell, 2019, Profound and reproducible patterns of reduced regional gray matter characterize major depressive disorder, Transl. Psychiatry, 9, 176, 10.1038/s41398-019-0512-8 Holmes, 2012, Individual differences in amygdala-medial prefrontal anatomy link negative affect, impaired social functioning, and polygenic depression risk, J. Neurosci., 32, 18087, 10.1523/JNEUROSCI.2531-12.2012 Iidaka, 2006, Volume of left amygdala subregion predicted temperamental trait of harm avoidance in female young subjects. A voxel-based morphometry study, Brain Res., 1125, 85, 10.1016/j.brainres.2006.09.015 Inada, 2015, Psychotropic dose equivalence in Japan, Psychiatry Clin. Neurosci., 69, 440, 10.1111/pcn.12275 Kampman, 2011, Can onset and recovery in depression be predicted by temperament? A systematic review and meta-analysis, J. Affect. Disord., 135, 20, 10.1016/j.jad.2010.12.021 Keedwell, 2005, The neural correlates of anhedonia in major depressive disorder, Biol. Psychiatry, 58, 843, 10.1016/j.biopsych.2005.05.019 Kijima, 1996, Cloninger’s seven-factor model of temperament and character and Japanese version of Temperament and Character Inventory (TCI), Arch. Psychiatr. Diagn. Clin. Eval., 7, 379 Kijima, 2000, Reliability and validity of the Japanese version of the temperament and character inventory, Psychol. Rep., 86, 1050, 10.2466/pr0.2000.86.3.1050 Kragel, 2018, Generalizable representations of pain, cognitive control, and negative emotion in medial frontal cortex, Nat. Neurosci., 21, 283, 10.1038/s41593-017-0051-7 Kuzmanovic, 2016, The role of the neural reward circuitry in self-referential optimistic belief updates, Neuroimage, 133, 151, 10.1016/j.neuroimage.2016.02.014 Lawson, 2017, Disrupted habenula function in major depression, Mol. Psychiatry, 22, 202, 10.1038/mp.2016.81 Mak, 2009, Gray matter reduction associated with emotion regulation in female outpatients with major depressive disorder: a voxel-based morphometry study, Prog. Neuropsychopharmacol. Biol. Psychiatry, 33, 1184, 10.1016/j.pnpbp.2009.06.025 McCabe, 2011, Antidepressant medications reduce subcortical-cortical resting-state functional connectivity in healthy volunteers, Neuroimage, 57, 1317, 10.1016/j.neuroimage.2011.05.051 Miettunen, 2012, A meta-analysis of temperament in axis I psychiatric disorders, Compr. Psychiatry, 53, 152, 10.1016/j.comppsych.2011.03.008 Nichols, 2005, Valid conjunction inference with the minimum statistic, Neuroimage, 25, 653, 10.1016/j.neuroimage.2004.12.005 Opel, 2017, Prefrontal brain responsiveness to negative stimuli distinguishes familial risk for major depression from acute disorder, J. Psychiatry Neurosci., 42, 343, 10.1503/jpn.160198 Ota, 2017, Structural differences in hippocampal subfields among schizophrenia patients, major depressive disorder patients, and healthy subjects, Psychiatry Res., 259, 54, 10.1016/j.pscychresns.2016.11.002 Pell, 2008, Selection of the control group for VBM analysis: influence of covariates, matching and sample size, Neuroimage, 41, 1324, 10.1016/j.neuroimage.2008.02.050 Price, 2010, Neurocircuitry of mood disorders, Neuropsychopharmacology, 35, 192, 10.1038/npp.2009.104 Scheuerecker, 2010, Orbitofrontal volume reductions during emotion recognition in patients with major depression, J. Psychiatry & Neurosci., 35, 311, 10.1503/jpn.090076 Schmaal, 2017, Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group, Mol. Psychiatry, 22, 900, 10.1038/mp.2016.60 Schmaal, 2016, Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group, Mol. Psychiatry, 21, 806, 10.1038/mp.2015.69 Sharot, 2007, Neural mechanisms mediating optimism bias, Nature, 450, 102, 10.1038/nature06280 Sheehan, 1998, The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10, J. Clin. Psychiatry, 59 Smith, 2009, Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference, Neuroimage, 44, 83, 10.1016/j.neuroimage.2008.03.061 Tom, 2007, The neural basis of loss aversion in decision-making under risk, Science, 315, 515, 10.1126/science.1134239 Van Overwalle, 2009, Social cognition and the brain: a meta-analysis, Hum. Brain Mapp., 30, 829, 10.1002/hbm.20547 Van Schuerbeek, 2016, The heterogeneity in retrieved relations between the personality trait ‘harm avoidance’ and gray matter volumes due to variations in the VBM and ROI labeling processing settings, PLoS One, 11, 10.1371/journal.pone.0153865 Van Schuerbeek, 2011, Individual differences in local gray and white matter volumes reflect differences in temperament and character: a voxel-based morphometry study in healthy young females, Brain Res., 1371, 32, 10.1016/j.brainres.2010.11.073 Wagner, 2011, Individual differences in the spontaneous recruitment of brain regions supporting mental state understanding when viewing natural social scenes, Cereb. Cortex, 21, 2788, 10.1093/cercor/bhr074 Wang, 2018, The optimistic brain: trait optimism mediates the influence of resting-state brain activity and connectivity on anxiety in late adolescence, Hum. Brain Mapp., 39, 3943, 10.1002/hbm.24222 Yamasue, 2008, Gender-common and -specific neuroanatomical basis of human anxiety-related personality traits, Cereb. Cortex, 18, 46, 10.1093/cercor/bhm030 Zaninotto, 2016, A meta-analysis of temperament and character dimensions in patients with mood disorders: comparison to healthy controls and unaffected siblings, J. Affect. Disord., 194, 84, 10.1016/j.jad.2015.12.077 Zimmerman, 2013, Severity classification on the Hamilton Depression Rating Scale, J. Affect. Disord., 150, 384, 10.1016/j.jad.2013.04.028