Is it importance to take co-occurrence of obesity and cigarette smoking into account in brain imaging studies in major depressive disorder?

How to cite this article: Delibas DH, Kurtgoz Zorlu P, Pasa Baskin E, Bora E, Adibelli ZH, Zorlu N. Is it important to take the co-occurrence of obesity and cigarette smoking into account in brain imaging studies in major depressive disorder? Dusunen Adam The Journal of Psychiatry and Neurological Sciences 2019;32:121-8. Is it important to take the co-occurrence of obesity and cigarette smoking into account in brain imaging studies in major depressive disorder?

[1]  Pienie Zwitserlood,et al.  Association of Brain Cortical Changes With Relapse in Patients With Major Depressive Disorder , 2018, JAMA psychiatry.

[2]  R. Ho,et al.  Exploring the association between childhood and adolescent obesity and depression: a meta‐analysis , 2017, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[3]  Rui Yan,et al.  Altered patterns of association between cortical thickness and subcortical volume in patients with first episode major depressive disorder: A structural MRI study , 2017, Psychiatry Research: Neuroimaging.

[4]  Fang Pan,et al.  The Effects of High-fat-diet Combined with Chronic Unpredictable Mild Stress on Depression-like Behavior and Leptin/LepRb in Male Rats , 2016, Scientific Reports.

[5]  Yuqi Cheng,et al.  The volumetric and shape changes of the putamen and thalamus in first episode, untreated major depressive disorder , 2016, NeuroImage: Clinical.

[6]  Lachlan T. Strike,et al.  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 , 2016, Molecular Psychiatry.

[7]  Osamu Abe,et al.  Computational meta‐analysis of statistical parametric maps in major depression , 2016, Human brain mapping.

[8]  E. Bullmore,et al.  Increased body mass index is associated with specific regional alterations in brain structure , 2016, International Journal of Obesity.

[9]  K. Brady,et al.  Lower subcortical gray matter volume in both younger smokers and established smokers relative to non‐smokers , 2016, Addiction biology.

[10]  Brian D. Boyd,et al.  Widespread white matter but focal gray matter alterations in depressed individuals with thoughts of death , 2015, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[11]  O. Abe,et al.  RELATIONSHIP BETWEEN THE CORTICAL THICKNESS AND SERUM CORTISOL LEVELS IN DRUG‐NAÏVE, FIRST‐EPISODE PATIENTS WITH MAJOR DEPRESSIVE DISORDER: A SURFACE‐BASED MORPHOMETRIC STUDY , 2015, Depression and anxiety.

[12]  A. Larbi,et al.  Obesity, asthma prevalence and IL‐4: Roles of inflammatory cytokines, adiponectin and neuropeptide Y , 2015, Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology.

[13]  S. Lawrie,et al.  Cortical Thickness in Individuals at High Familial Risk of Mood Disorders as They Develop Major Depressive Disorder , 2015, Biological Psychiatry.

[14]  Lachlan T. Strike,et al.  Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group , 2015, Molecular Psychiatry.

[15]  Chenwang Jin,et al.  Reduced frontal cortical thickness and increased caudate volume within fronto-striatal circuits in young adult smokers. , 2015, Drug and alcohol dependence.

[16]  Daniel Yam Thiam Goh,et al.  Neuropeptide Y may mediate psychological stress and enhance TH2 inflammatory response in asthma. , 2015, The Journal of allergy and clinical immunology.

[17]  Dinggang Shen,et al.  Surface Vulnerability of Cerebral Cortex to Major Depressive Disorder , 2015, PloS one.

[18]  I. Deary,et al.  Cigarette smoking and thinning of the brain's cortex , 2015, Molecular Psychiatry.

[19]  Walter Heindel,et al.  Obesity and major depression: Body-mass index (BMI) is associated with a severe course of disease and specific neurostructural alterations , 2015, Psychoneuroendocrinology.

[20]  Hubert Preissl,et al.  Reduced cortical thickness associated with visceral fat and BMI , 2014, NeuroImage: Clinical.

[21]  Joel M. Mumma,et al.  The Effects of Chronic Cigarette Smoking on Gray Matter Volume: Influence of Sex , 2014, PloS one.

[22]  J. Mann,et al.  Cortical thickness differences between bipolar depression and major depressive disorder , 2014, Bipolar disorders.

[23]  S. Lui,et al.  Regional increases of cortical thickness in untreated, first-episode major depressive disorder , 2014, Translational Psychiatry.

[24]  N. Jaworska,et al.  Cortical thickness in youth with major depressive disorder , 2014, BMC Psychiatry.

[25]  B. Ham,et al.  Cortical thickness, cortical and subcortical volume, and white matter integrity in patients with their first episode of major depression. , 2014, Journal of affective disorders.

[26]  Indira Tendolkar,et al.  Paralimbic cortical thickness in first-episode depression: evidence for trait-related differences in mood regulation. , 2013, The American journal of psychiatry.

[27]  David F Abbott,et al.  Sample size estimates for well‐powered cross‐sectional cortical thickness studies , 2013, Human brain mapping.

[28]  B. Bogerts,et al.  Local cortical thinning links to resting-state disconnectivity in major depressive disorder , 2013, Psychological Medicine.

[29]  K. Coburn,et al.  The relationship between the anterior corpus callosum size and prefrontal cortex volume in drug-free depressed patients. , 2013, Journal of affective disorders.

[30]  B. Baune,et al.  Neuroplastic changes in depression: A role for the immune system , 2012, Psychoneuroendocrinology.

[31]  K. Mak,et al.  The Associations of Asthma Symptoms With Active and Passive Smoking in Hong Kong Adolescents , 2012, Respiratory Care.

[32]  Philip S. Insel,et al.  Patterns of reduced cortical thickness in late-life depression and relationship to psychotherapeutic response. , 2012, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[33]  E. Bora,et al.  Gray matter abnormalities in Major Depressive Disorder: a meta-analysis of voxel based morphometry studies. , 2012, Journal of affective disorders.

[34]  K. Ahn,et al.  Regional Cortical Thickness and Subcortical Volume Changes Are Associated with Cognitive Impairments in the Drug-Naive Patients with Late-Onset Depression , 2012, Neuropsychopharmacology.

[35]  Andrea Mechelli,et al.  Voxelwise meta-analysis of gray matter reduction in major depressive disorder , 2012, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[36]  Peter McGuffin,et al.  Hippocampal atrophy in first episode depression: a meta-analysis of magnetic resonance imaging studies. , 2011, Journal of affective disorders.

[37]  Jim van Os,et al.  Reduced Cortical Thickness as an Outcome of Differential Sensitivity to Environmental Risks in Schizophrenia , 2011, Biological Psychiatry.

[38]  Simone Kühn,et al.  Reduced Thickness of Medial Orbitofrontal Cortex in Smokers , 2010, Biological Psychiatry.

[39]  P. Cuijpers,et al.  Depression and obesity: A meta-analysis of community-based studies , 2010, Psychiatry Research.

[40]  L. Pratt,et al.  Depression and smoking in the U.S. household population aged 20 and over, 2005-2008. , 2010, NCHS data brief.

[41]  Gerty J. L. M. Lensvelt-Mulders,et al.  Brain volume abnormalities in major depressive disorder: A meta‐analysis of magnetic resonance imaging studies , 2009, Human brain mapping.

[42]  P. V. Eijndhoven,et al.  Amygdala Volume Marks the Acute State in the Early Course of Depression , 2009, Biological Psychiatry.

[43]  Norito Kawakami,et al.  Lifetime prevalence and age-of-onset distributions of mental disorders in the World Health Organization's World Mental Health Survey Initiative. , 2007, World psychiatry : official journal of the World Psychiatric Association.

[44]  B. Ravnkilde,et al.  Hippocampal volume and depression: a meta-analysis of MRI studies. , 2004, The American journal of psychiatry.

[45]  Eva Meisenzahl,et al.  Enlargement of the amygdala in patients with a first episode of major depression , 2002, Biological Psychiatry.

[46]  M. Türkçapar,et al.  Reliability and validity of the Turkish version of the Hamilton Depression Rating Scale. , 2001, Comprehensive psychiatry.

[47]  A M Dale,et al.  Measuring the thickness of the human cerebral cortex from magnetic resonance images. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[48]  A. Dale,et al.  Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System , 1999, NeuroImage.

[49]  Anders M. Dale,et al.  Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.

[50]  M. Hamilton.  A RATING SCALE FOR DEPRESSION , 1960, Journal of neurology, neurosurgery, and psychiatry.

[51]  K. Coburn,et al.  Hippocampal shape alterations in healthy young women with familial risk for unipolar depression. , 2018, Comprehensive psychiatry.

[52]  E. Bora,et al.  Effects of cigarette smoking on cortical thickness in major depressive disorder. , 2017, Journal of psychiatric research.

[53]  O. Uysal,et al.  Fagerstrom test for nicotine dependence: reliability in a Turkish sample and factor analysis. , 2004, Tuberkuloz ve toraks.

[54]  M. First,et al.  Structured clinical interview for DSM-IV axis I disorders : SCID-I : clinical version : scoresheet , 1997 .

[55]  K. Fagerström,et al.  Measuring degree of physical dependence to tobacco smoking with reference to individualization of treatment. , 1978, Addictive behaviors.