{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T21:58:09Z","timestamp":1793138289287,"version":"4.5.0"},"reference-count":63,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2020,7,22]],"date-time":"2020-07-22T00:00:00Z","timestamp":1595376000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2020,7,22]],"date-time":"2020-07-22T00:00:00Z","timestamp":1595376000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81725005"],"award-info":[{"award-number":["81725005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Transl Psychiatry"],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Dimensional psychopathology and its neurobiological underpinnings could provide important insights into major psychiatric disorders, including major depressive disorder, bipolar disorder and schizophrenia. In a dimensional transdiagnostic approach, we examined depressive symptoms and their relationships with regional homogeneity and leptin across major psychiatric disorders. A total of 728 participants (including 403 patients with major psychiatric disorders and 325 age\u2013gender-matched healthy controls) underwent resting-state functional magnetic resonance imaging at a single site. We obtained plasma leptin levels and depressive symptom measures (Hamilton Depression Rating Scale (HAMD)) within 24\u2009h of scanning and compared the regional homogeneity (ReHo), plasma leptin levels and HAMD total score and factor scores between patients and healthy controls. To reveal the potential relationships, we performed correlational and mediational analyses. Patients with major psychiatric disorders had significant lower ReHo in primary sensory and visual association cortices and higher ReHo in the frontal cortex and angular gyrus; plasma leptin levels were also elevated. Furthermore, ReHo alterations, leptin and HAMD factor scores had significant correlations. We also found that leptin mediated the transdiagnostic relationships among ReHo alterations in primary somatosensory and visual association cortices, core depressive symptoms and body mass index. The transdiagnostic associations we demonstrated support the common neuroanatomical substrates and neurobiological mechanisms. Moreover, leptin could be an important association among ReHo, core depressive symptoms and body mass index, suggesting a potential therapeutic target for dimensional depressive symptoms across major psychiatric disorders.<\/jats:p>","DOI":"10.1038\/s41398-020-00932-0","type":"journal-article","created":{"date-parts":[[2020,7,22]],"date-time":"2020-07-22T19:03:38Z","timestamp":1595444618000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Applying dimensional psychopathology: transdiagnostic associations among regional homogeneity, leptin and depressive symptoms"],"prefix":"10.1038","volume":"10","author":[{"given":"Yan-ge","family":"Wei","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia","family":"Duan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fay Y.","family":"Womer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiyang","family":"Yin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lingling","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhuang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shengnan","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaowei","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanbo","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xizhe","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1331-4936","authenticated-orcid":false,"given":"Yanqing","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0232-8697","authenticated-orcid":false,"given":"Fei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,7,22]]},"reference":[{"key":"932_CR1","doi-asserted-by":"publisher","first-page":"145","DOI":"10.3371\/CSRP.6.3.6","volume":"6","author":"C Rosen","year":"2012","unstructured":"Rosen, C. et al. Phenomenology of first-episode psychosis in schizophrenia, bipolar disorder, and unipolar depression: a comparative analysis. Clin. Schizophr. Relat. Psychoses 6, 145\u2013151 (2012).","journal-title":"Clin. Schizophr. Relat. Psychoses"},{"key":"932_CR2","doi-asserted-by":"publisher","first-page":"990","DOI":"10.1016\/j.neuron.2012.06.002","volume":"74","author":"JW Buckholtz","year":"2012","unstructured":"Buckholtz, J. W. & Meyer-Lindenberg, A. Psychopathology and the human connectome: toward a transdiagnostic model of risk for mental illness. Neuron 74, 990\u20131004 (2012).","journal-title":"Neuron"},{"key":"932_CR3","doi-asserted-by":"publisher","first-page":"605","DOI":"10.1001\/jamapsychiatry.2017.0669","volume":"74","author":"JM Sheffield","year":"2017","unstructured":"Sheffield, J. M. et al. Transdiagnostic associations between functional brain network integrity and cognition. JAMA Psychiatry 74, 605 (2017).","journal-title":"JAMA Psychiatry"},{"key":"932_CR4","doi-asserted-by":"publisher","first-page":"748","DOI":"10.1176\/appi.ajp.2010.09091379","volume":"167","author":"T Insel","year":"2010","unstructured":"Insel, T. et al. Research Domain Criteria (RDoC): toward a new classification framework for research on mental disorders. Am. J. Psychiatry 167, 748\u2013751 (2010).","journal-title":"Am. J. Psychiatry"},{"key":"932_CR5","doi-asserted-by":"publisher","first-page":"103","DOI":"10.3389\/fpsyg.2019.00103","volume":"10","author":"LA Harrison","year":"2019","unstructured":"Harrison, L. A., Kats, A., Williams, M. E. & Aziz-Zadeh, L. The importance of sensory processing in mental health: a proposed addition to the Research Domain Criteria (RDoC) and suggestions for RDoC 2.0. Front Psychol. 10, 103 (2019).","journal-title":"Front Psychol."},{"key":"932_CR6","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1001\/jamapsychiatry.2014.2206","volume":"72","author":"M Goodkind","year":"2015","unstructured":"Goodkind, M. et al. Identification of a common neurobiological substrate for mental illness. JAMA Psychiatry 72, 305\u2013315 (2015).","journal-title":"JAMA Psychiatry"},{"key":"932_CR7","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1176\/appi.ajp.2016.16070774","volume":"174","author":"A Sharma","year":"2017","unstructured":"Sharma, A. et al. Common dimensional reward deficits across mood and psychotic disorders: a connectome-wide association study. Am. J. Psychiatry 174, 657\u2013666 (2017).","journal-title":"Am. J. Psychiatry"},{"key":"932_CR8","doi-asserted-by":"publisher","first-page":"894","DOI":"10.1038\/mp.2015.149","volume":"21","author":"TD Satterthwaite","year":"2016","unstructured":"Satterthwaite, T. D. et al. Dimensional depression severity in women with major depression and post-traumatic stress disorder correlates with fronto-amygdalar hypoconnectivty. Mol. Psychiatry 21, 894\u2013902 (2016).","journal-title":"Mol. Psychiatry"},{"key":"932_CR9","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.schres.2005.01.004","volume":"77","author":"H Hafner","year":"2005","unstructured":"Hafner, H. et al. Schizophrenia and depression: challenging the paradigm of two separate diseases-a controlled study of schizophrenia, depression and healthy controls. Schizophr. Res. 77, 11\u201324 (2005).","journal-title":"Schizophr. Res."},{"key":"932_CR10","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1111\/acps.12686","volume":"135","author":"A Ratheesh","year":"2017","unstructured":"Ratheesh, A. et al. A systematic review and meta-analysis of prospective transition from major depression to bipolar disorder. Acta Psychiatr. Scand. 135, 273\u2013284 (2017).","journal-title":"Acta Psychiatr. Scand."},{"key":"932_CR11","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/j.neubiorev.2014.05.009","volume":"45","author":"XN Zuo","year":"2014","unstructured":"Zuo, X. N. & Xing, X. X. Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: a systems neuroscience perspective. Neurosci. Biobehav Rev. 45, 100\u2013118 (2014).","journal-title":"Neurosci. Biobehav Rev."},{"key":"932_CR12","doi-asserted-by":"publisher","first-page":"486","DOI":"10.1177\/1073858415595004","volume":"22","author":"L Jiang","year":"2016","unstructured":"Jiang, L. & Zuo, X. N. Regional homogeneity: a multimodal, multiscale neuroimaging marker of the human connectome. Neuroscientist 22, 486\u2013505 (2016).","journal-title":"Neuroscientist"},{"key":"932_CR13","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2014.49","volume":"1","author":"XN Zuo","year":"2014","unstructured":"Zuo, X. N. et al. An open science resource for establishing reliability and reproducibility in functional connectomics. Sci. Data 1, 140049 (2014).","journal-title":"Sci. Data"},{"key":"932_CR14","doi-asserted-by":"publisher","first-page":"374","DOI":"10.1016\/j.neuroimage.2012.10.017","volume":"65","author":"XN Zuo","year":"2013","unstructured":"Zuo, X. N. et al. Toward reliable characterization of functional homogeneity in the human brain: preprocessing, scan duration, imaging resolution and computational space. Neuroimage 65, 374\u2013386 (2013).","journal-title":"Neuroimage"},{"key":"932_CR15","doi-asserted-by":"publisher","first-page":"2485","DOI":"10.1007\/s00429-014-0795-8","volume":"220","author":"L Jiang","year":"2015","unstructured":"Jiang, L. et al. Toward neurobiological characterization of functional homogeneity in the human cortex: regional variation, morphological association and functional covariance network organization. Brain Struct. Funct. 220, 2485\u20132507 (2015).","journal-title":"Brain Struct. Funct."},{"key":"932_CR16","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1016\/j.schres.2019.07.015","volume":"215","author":"L Ji","year":"2020","unstructured":"Ji, L. et al. Characterizing functional regional homogeneity (ReHo) as a B-SNIP psychosis biomarker using traditional and machine learning approaches. Schizophr. Res. 215, 430\u2013438 (2020).","journal-title":"Schizophr. Res."},{"key":"932_CR17","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1016\/j.jad.2018.04.069","volume":"236","author":"Y Wei","year":"2018","unstructured":"Wei, Y. et al. Local functional connectivity alterations in schizophrenia, bipolar disorder, and major depressive disorder. J. Affect. Disord. 236, 266\u2013273 (2018).","journal-title":"J. Affect. Disord."},{"key":"932_CR18","doi-asserted-by":"publisher","first-page":"700","DOI":"10.1016\/j.neuroimage.2019.01.074","volume":"189","author":"M Xia","year":"2019","unstructured":"Xia, M. et al. Reproducibility of functional brain alterations in major depressive disorder: evidence from a multisite resting-state functional MRI study with 1,434 individuals. Neuroimage 189, 700\u2013714 (2019).","journal-title":"Neuroimage"},{"key":"932_CR19","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.psyneuen.2015.09.026","volume":"63","author":"B Stubbs","year":"2016","unstructured":"Stubbs, B., Wang, A. K., Vancampfort, D. & Miller, B. J. Are leptin levels increased among people with schizophrenia versus controls? A systematic review and comparative meta-analysis. Psychoneuroendocrinology 63, 144\u2013154 (2016).","journal-title":"Psychoneuroendocrinology"},{"key":"932_CR20","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1159\/000366488","volume":"70","author":"HJ Lee","year":"2014","unstructured":"Lee, H. J. et al. Leptin is associated with mood status and metabolic homeostasis in patients with bipolar disorder. Neuropsychobiology 70, 203\u2013209 (2014).","journal-title":"Neuropsychobiology"},{"key":"932_CR21","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1016\/j.jad.2007.07.024","volume":"107","author":"JA Pasco","year":"2008","unstructured":"Pasco, J. A. et al. Leptin in depressed women: cross-sectional and longitudinal data from an epidemiologic study. J. Affect. Disord. 107, 221\u2013225 (2008).","journal-title":"J. Affect. Disord."},{"key":"932_CR22","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1016\/j.jchemneu.2014.05.001","volume":"61-62","author":"JC Valleau","year":"2014","unstructured":"Valleau, J. C. & Sullivan, E. L. The impact of leptin on perinatal development and psychopathology. J. Chem. Neuroanat. 61-62, 221\u2013232 (2014).","journal-title":"J. Chem. Neuroanat."},{"key":"932_CR23","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1016\/0196-9781(96)00025-3","volume":"17","author":"WA Banks","year":"1996","unstructured":"Banks, W. A., Kastin, A. J., Huang, W., Jaspan, J. B. & Maness, L. M. Leptin enters the brain by a saturable system independent of insulin. Peptides 17, 305\u2013311 (1996).","journal-title":"Peptides"},{"key":"932_CR24","doi-asserted-by":"crossref","unstructured":"Esler, M. et al. Leptin in human plasma is derived in part from the brain, and cleared by the kidneys. Lancet 351, 879 (1998).","DOI":"10.1016\/S0140-6736(05)70289-0"},{"key":"932_CR25","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1016\/j.metabol.2014.07.004","volume":"64","author":"OM Farr","year":"2015","unstructured":"Farr, O. M., Tsoukas, M. A. & Mantzoros, C. S. Leptin and the brain: influences on brain development, cognitive functioning and psychiatric disorders. Metabolism 64, 114\u2013130 (2015).","journal-title":"Metabolism"},{"key":"932_CR26","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1016\/j.bbi.2017.01.001","volume":"61","author":"W Liu","year":"2017","unstructured":"Liu, W. et al. Leptin receptor knockout-induced depression-like behaviors and attenuated antidepressant effects of exercise are associated with STAT3\/SOCS3 signaling. Brain Behav. Immun. 61, 297\u2013305 (2017).","journal-title":"Brain Behav. Immun."},{"key":"932_CR27","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1007\/s12021-016-9299-4","volume":"14","author":"C-G Yan","year":"2016","unstructured":"Yan, C.-G., Wang, X.-D., Zuo, X.-N. & Zang, Y.-F. DPABI: data processing & analysis for (resting-state) brain imaging. Neuroinformatics 14, 339\u2013351 (2016).","journal-title":"Neuroinformatics"},{"key":"932_CR28","first-page":"13","volume":"4","author":"Y Chao-Gan","year":"2010","unstructured":"Chao-Gan, Y. & Yu-Feng, Z. DPARSF: a MATLAB toolbox for \u201cpipeline\u201d data analysis of resting-state fMRI. Front. Syst. Neurosci. 4, 13 (2010).","journal-title":"Front. Syst. Neurosci."},{"key":"932_CR29","doi-asserted-by":"publisher","first-page":"320","DOI":"10.1016\/j.neuroimage.2013.08.048","volume":"84","author":"JD Power","year":"2014","unstructured":"Power, J. D. et al. Methods to detect, characterize, and remove motion artifact in resting state fMRI. Neuroimage 84, 320\u2013341 (2014).","journal-title":"Neuroimage"},{"key":"932_CR30","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1002\/mrm.1910350312","volume":"35","author":"KJ Friston","year":"1996","unstructured":"Friston, K. J., Williams, S., Howard, R., Frackowiak, R. S. & Turner, R. Movement-related effects in fMRI time-series. Magn. Reson. Med. 35, 346\u2013355 (1996).","journal-title":"Magn. Reson. Med."},{"key":"932_CR31","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0182939","volume":"12","author":"JD Power","year":"2017","unstructured":"Power, J. D., Plitt, M., Kundu, P., Bandettini, P. A. & Martin, A. Temporal interpolation alters motion in fMRI scans: magnitudes and consequences for artifact detection. PLoS ONE 12, e0182939 (2017).","journal-title":"PLoS ONE"},{"key":"932_CR32","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/j.neuroimage.2013.03.004","volume":"76","author":"CG Yan","year":"2013","unstructured":"Yan, C. G. et al. A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics. Neuroimage 76, 183\u2013201 (2013).","journal-title":"Neuroimage"},{"key":"932_CR33","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1006\/nimg.2002.1132","volume":"17","author":"M Jenkinson","year":"2002","unstructured":"Jenkinson, M., Bannister, P., Brady, M. & Smith, S. Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 17, 825\u2013841 (2002).","journal-title":"Neuroimage"},{"key":"932_CR34","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1016\/j.neuroimage.2003.12.030","volume":"22","author":"Y Zang","year":"2004","unstructured":"Zang, Y., Jiang, T., Lu, Y., He, Y. & Tian, L. Regional homogeneity approach to fMRI data analysis. Neuroimage 22, 394\u2013400 (2004).","journal-title":"Neuroimage"},{"key":"932_CR35","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1086\/651257","volume":"37","author":"X Zhao","year":"2010","unstructured":"Zhao, X., Lynch, J. G. & Chen, Q. Reconsidering Baron and Kenny: myths and truths about mediation analysis. J. Consum. Res. 37, 197\u2013206 (2010).","journal-title":"J. Consum. Res."},{"key":"932_CR36","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1037\/1082-989X.7.4.422","volume":"7","author":"PE Shrout","year":"2002","unstructured":"Shrout, P. E. & Bolger, N. Mediation in experimental and nonexperimental studies: new procedures and recommendations. Psychol. Methods 7, 422\u2013445 (2002).","journal-title":"Psychol. Methods"},{"key":"932_CR37","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1016\/j.ebiom.2018.10.009","volume":"37","author":"N Luo","year":"2018","unstructured":"Luo, N. et al. A schizophrenia-related genetic-brain-cognition pathway revealed in a large Chinese population. EBioMedicine 37, 471\u2013482 (2018).","journal-title":"EBioMedicine"},{"key":"932_CR38","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1080\/09540260902962156","volume":"21","author":"M Wessa","year":"2009","unstructured":"Wessa, M. & Linke, J. Emotional processing in bipolar disorder: behavioural and neuroimaging findings. Int. Rev. Psychiatry 21, 357\u2013367 (2009).","journal-title":"Int. Rev. Psychiatry"},{"key":"932_CR39","doi-asserted-by":"crossref","unstructured":"Kropf, E., Syan, S. K., Minuzzi, L. & Frey, B. N. From anatomy to function: the role of the somatosensory cortex in emotional regulation. Braz. J. Psychiatry 41, 261\u2013269 (2019).","DOI":"10.1590\/1516-4446-2018-0183"},{"key":"932_CR40","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1016\/j.psychres.2016.04.028","volume":"240","author":"DJ Norton","year":"2016","unstructured":"Norton, D. J., McBain, R. K., Pizzagalli, D. A., Cronin-Golomb, A. & Chen, Y. Dysregulation of visual motion inhibition in major depression. Psychiatry Res. 240, 214\u2013221 (2016).","journal-title":"Psychiatry Res."},{"key":"932_CR41","doi-asserted-by":"publisher","first-page":"806","DOI":"10.1016\/j.biopsych.2006.08.048","volume":"61","author":"Z Bhagwagar","year":"2007","unstructured":"Bhagwagar, Z. et al. Reduction in occipital cortex gamma-aminobutyric acid concentrations in medication-free recovered unipolar depressed and bipolar subjects. Biol. Psychiatry 61, 806\u2013812 (2007).","journal-title":"Biol. Psychiatry"},{"key":"932_CR42","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/s12160-013-9479-5","volume":"46","author":"DA Chirinos","year":"2013","unstructured":"Chirinos, D. A. et al. Leptin and its association with somatic depressive symptoms in patients with the metabolic syndrome. Ann. Behav. Med. 46, 31\u201339 (2013).","journal-title":"Ann. Behav. Med."},{"key":"932_CR43","doi-asserted-by":"crossref","unstructured":"Cross-Disorder Group of the Psychiatric Genomics Consortium. Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. Lancet 381, 1371\u20131379, (2013).","DOI":"10.1016\/S0140-6736(12)62129-1"},{"key":"932_CR44","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1038\/s41398-019-0652-x","volume":"9","author":"C Pisanu","year":"2019","unstructured":"Pisanu, C. et al. Evidence that genes involved in hedgehog signaling are associated with both bipolar disorder and high BMI. Transl. Psychiatry 9, 315\u2013315 (2019).","journal-title":"Transl. Psychiatry"},{"key":"932_CR45","doi-asserted-by":"publisher","first-page":"450","DOI":"10.1093\/schbul\/sby046","volume":"45","author":"M Xia","year":"2019","unstructured":"Xia, M. et al. Shared and distinct functional architectures of brain networks across psychiatric disorders. Schizophr. Bull. 45, 450\u2013463 (2019).","journal-title":"Schizophr. Bull."},{"key":"932_CR46","doi-asserted-by":"publisher","unstructured":"Chang, M. et al. Neurobiological commonalities and distinctions among three major psychiatric diagnostic categories: a structural MRI study. Schizophr. Bull. https:\/\/doi.org\/10.1093\/schbul\/sbx028 (2017).","DOI":"10.1093\/schbul\/sbx028"},{"key":"932_CR47","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1016\/S0006-3223(03)00171-9","volume":"54","author":"ML Phillips","year":"2003","unstructured":"Phillips, M. L., Drevets, W. C., Rauch, S. L. & Lane, R. Neurobiology of emotion perception II: implications for major psychiatric disorders. Biol. Psychiatry 54, 515\u2013528 (2003).","journal-title":"Biol. Psychiatry"},{"key":"932_CR48","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1016\/j.neuroscience.2017.02.047","volume":"349","author":"TI Orenius","year":"2017","unstructured":"Orenius, T. I. et al. The interaction of emotion and pain in the insula and secondary somatosensory cortex. Neuroscience 349, 185\u2013194 (2017).","journal-title":"Neuroscience"},{"key":"932_CR49","doi-asserted-by":"publisher","first-page":"1121","DOI":"10.1016\/j.biopsych.2003.10.006","volume":"55","author":"TA Blanpied","year":"2004","unstructured":"Blanpied, T. A. & Ehlers, M. D. Microanatomy of dendritic spines: emerging principles of synaptic pathology in psychiatric and neurological disease. Biol. Psychiatry 55, 1121\u20131127 (2004).","journal-title":"Biol. Psychiatry"},{"key":"932_CR50","doi-asserted-by":"publisher","first-page":"2223","DOI":"10.1210\/en.2011-2071","volume":"153","author":"Y Xu","year":"2012","unstructured":"Xu, Y., O\u2019Brien, W. G. 3rd, Lee, C. C., Myers, M. G. Jr. & Tong, Q. Role of GABA release from leptin receptor-expressing neurons in body weight regulation. Endocrinology 153, 2223\u20132233 (2012).","journal-title":"Endocrinology"},{"key":"932_CR51","doi-asserted-by":"publisher","first-page":"1593","DOI":"10.1073\/pnas.0508901103","volume":"103","author":"XY Lu","year":"2006","unstructured":"Lu, X. Y., Kim, C. S., Frazer, A. & Zhang, W. Leptin: a potential novel antidepressant. Proc. Natl Acad. Sci. USA 103, 1593\u20131598 (2006).","journal-title":"Proc. Natl Acad. Sci. USA"},{"key":"932_CR52","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1186\/s12888-014-0222-y","volume":"14","author":"W Gao","year":"2014","unstructured":"Gao, W. et al. Alterations of regional homogeneity in pediatric bipolar depression: a resting-state fMRI study. BMC Psychiatry 14, 222\u2013222 (2014).","journal-title":"BMC Psychiatry"},{"key":"932_CR53","doi-asserted-by":"publisher","first-page":"963","DOI":"10.1016\/j.biopsych.2018.02.006","volume":"83","author":"LH Jacobson","year":"2018","unstructured":"Jacobson, L. H., Vlachou, S., Slattery, D. A., Li, X. & Cryan, J. F. The gamma-aminobutyric acid B receptor in depression and reward. Biol. Psychiatry 83, 963\u2013976 (2018).","journal-title":"Biol. Psychiatry"},{"key":"932_CR54","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.neuron.2011.05.028","volume":"71","author":"L Vong","year":"2011","unstructured":"Vong, L. et al. Leptin action on GABAergic neurons prevents obesity and reduces inhibitory tone to POMC neurons. Neuron 71, 142\u2013154 (2011).","journal-title":"Neuron"},{"key":"932_CR55","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.jchemneu.2015.10.008","volume":"76","author":"JF Smiley","year":"2016","unstructured":"Smiley, J. F. et al. Reduced GABA neuron density in auditory cerebral cortex of subjects with major depressive disorder. J. Chem. Neuroanat. 76, 108\u2013121 (2016).","journal-title":"J. Chem. Neuroanat."},{"key":"932_CR56","doi-asserted-by":"publisher","first-page":"524","DOI":"10.1016\/j.jad.2019.06.067","volume":"256","author":"N Dreim\u00fcller","year":"2019","unstructured":"Dreim\u00fcller, N. et al. Body mass index (BMI) in major depressive disorder and its effects on depressive symptomatology and antidepressant response. J. Affect. Disord. 256, 524\u2013531 (2019).","journal-title":"J. Affect. Disord."},{"key":"932_CR57","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.jad.2018.10.116","volume":"245","author":"A Abramovitch","year":"2019","unstructured":"Abramovitch, A. et al. Body mass index in obsessive-compulsive disorder. J. Affect. Disord. 245, 145\u2013151 (2019).","journal-title":"J. Affect. Disord."},{"key":"932_CR58","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1016\/j.biopsych.2006.10.001","volume":"62","author":"S Kloiber","year":"2007","unstructured":"Kloiber, S. et al. Overweight and obesity affect treatment response in major depression. Biol. Psychiatry 62, 321\u2013326 (2007).","journal-title":"Biol. Psychiatry"},{"key":"932_CR59","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/j.jad.2009.02.013","volume":"118","author":"R Uher","year":"2009","unstructured":"Uher, R. et al. Body weight as a predictor of antidepressant efficacy in the GENDEP project. J. Affect. Disord. 118, 147\u2013154 (2009).","journal-title":"J. Affect. Disord."},{"key":"932_CR60","doi-asserted-by":"publisher","first-page":"1049","DOI":"10.1542\/peds.107.5.1049","volume":"107","author":"DS Pine","year":"2001","unstructured":"Pine, D. S., Goldstein, R. B., Wolk, S. & Weissman, M. M. The association between childhood depression and adulthood body mass index. Pediatrics 107, 1049\u20131056 (2001).","journal-title":"Pediatrics"},{"key":"932_CR61","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1016\/j.psyneuen.2015.08.014","volume":"62","author":"AC Incollingo Rodriguez","year":"2015","unstructured":"Incollingo Rodriguez, A. C. et al. Hypothalamic-pituitary-adrenal axis dysregulation and cortisol activity in obesity: a systematic review. Psychoneuroendocrinology 62, 301\u2013318 (2015).","journal-title":"Psychoneuroendocrinology"},{"key":"932_CR62","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.jad.2018.02.089","volume":"234","author":"MK Jha","year":"2018","unstructured":"Jha, M. K. et al. Validating pre-treatment body mass index as moderator of antidepressant treatment outcomes: findings from CO-MED trial. J. Affect. Disord. 234, 34\u201337 (2018).","journal-title":"J. Affect. Disord."},{"key":"932_CR63","doi-asserted-by":"publisher","first-page":"2641","DOI":"10.1017\/S0033291714000142","volume":"44","author":"MC Geoffroy","year":"2014","unstructured":"Geoffroy, M. C., Li, L. & Power, C. Depressive symptoms and body mass index: co-morbidity and direction of association in a British birth cohort followed over 50 years. Psychol. Med. 44, 2641\u20132652 (2014).","journal-title":"Psychol. Med."}],"container-title":["Translational Psychiatry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41398-020-00932-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41398-020-00932-0","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41398-020-00932-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T14:20:20Z","timestamp":1670250020000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41398-020-00932-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,22]]},"references-count":63,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2020,12]]}},"alternative-id":["932"],"URL":"https:\/\/doi.org\/10.1038\/s41398-020-00932-0","relation":{},"ISSN":["2158-3188"],"issn-type":[{"value":"2158-3188","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,22]]},"assertion":[{"value":"11 November 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 July 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 July 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 July 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare that they have no conflict of interest.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"248"}}