{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T00:28:55Z","timestamp":1785803335212,"version":"3.56.0"},"reference-count":94,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Brain, Behavior, &amp; Immunity - Health"],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1016\/j.bbih.2021.100387","type":"journal-article","created":{"date-parts":[[2021,11,3]],"date-time":"2021-11-03T02:40:27Z","timestamp":1635907227000},"page":"100387","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":104,"special_numbering":"C","title":["Brain correlates of depression, post-traumatic distress, and inflammatory biomarkers in COVID-19 survivors: A multimodal magnetic resonance imaging study"],"prefix":"10.1016","volume":"18","author":[{"given":"Francesco","family":"Benedetti","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4616-4185","authenticated-orcid":false,"given":"Mariagrazia","family":"Palladini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marco","family":"Paolini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elisa","family":"Melloni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benedetta","family":"Vai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1281-7996","authenticated-orcid":false,"given":"Rebecca","family":"De Lorenzo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roberto","family":"Furlan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patrizia","family":"Rovere-Querini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1461-8755","authenticated-orcid":false,"given":"Andrea","family":"Falini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6613-2477","authenticated-orcid":false,"given":"Mario Gennaro","family":"Mazza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.bbih.2021.100387_bib1","series-title":"An Introduction to Categorical Data Analysis","author":"Agresti","year":"1996"},{"issue":"6","key":"10.1016\/j.bbih.2021.100387_bib2","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1109\/TAC.1974.1100705","article-title":"A\u00a0new look at the statistical model identification","volume":"19","author":"Akaike","year":"1974","journal-title":"IEEE Trans. Automat. Control"},{"issue":"1","key":"10.1016\/j.bbih.2021.100387_bib3","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/S0006-3495(94)80775-1","article-title":"MR diffusion tensor spectroscopy and imaging","volume":"66","author":"Basser","year":"1994","journal-title":"Biophys. J."},{"issue":"6","key":"10.1016\/j.bbih.2021.100387_bib4","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1097\/HRP.0000000000000007","article-title":"Recent findings on the role of white matter pathology in bipolar disorder","volume":"22","author":"Benedetti","year":"2014","journal-title":"Harv. Rev. Psychiatr."},{"issue":"2","key":"10.1016\/j.bbih.2021.100387_bib5","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1001\/archpsyc.64.2.179","article-title":"Neural and genetic correlates of antidepressant response to sleep deprivation - a functional magnetic resonance imaging study of moral valence decision, in bipolar depression","volume":"64","author":"Benedetti","year":"2007","journal-title":"Arch. Gen. Psychiatr."},{"issue":"3","key":"10.1016\/j.bbih.2021.100387_bib6","first-page":"83","article-title":"Changes in medial prefrontal cortex neural responses parallel successful antidepressant combination of venlafaxine and light therapy","volume":"147","author":"Benedetti","year":"2009","journal-title":"Arch. Ital. Biol."},{"key":"10.1016\/j.bbih.2021.100387_bib7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jad.2016.05.047","article-title":"Inflammatory cytokines influence measures of white matter integrity in Bipolar Disorder","volume":"202","author":"Benedetti","year":"2016","journal-title":"J.\u00a0Affect. Disord."},{"key":"10.1016\/j.bbih.2021.100387_bib8","doi-asserted-by":"crossref","first-page":"71","DOI":"10.3389\/fpsyt.2020.00071","article-title":"Neuroinflammation in bipolar depression","volume":"11","author":"Benedetti","year":"2020","journal-title":"Front. Psychiatr."},{"issue":"1","key":"10.1016\/j.bbih.2021.100387_bib9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11481-020-09966-z","article-title":"Can cytokine blocking prevent depression in COVID-19 survivors?","volume":"16","author":"Benedetti","year":"2021","journal-title":"J.\u00a0Neuroimmune Pharmacol."},{"issue":"1\u20132","key":"10.1016\/j.bbih.2021.100387_bib10","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.jad.2011.03.049","article-title":"Gray matter abnormalities in major depressive disorder: a meta-analysis of voxel based morphometry studies","volume":"138","author":"Bora","year":"2012","journal-title":"J.\u00a0Affect. Disord."},{"issue":"3","key":"10.1016\/j.bbih.2021.100387_bib11","doi-asserted-by":"crossref","first-page":"2678","DOI":"10.1016\/j.neuroimage.2011.08.051","article-title":"Assessment of lesion pathology in a new animal model of MS by multiparametric MRI and DTI","volume":"59","author":"Boretius","year":"2012","journal-title":"Neuroimage"},{"key":"10.1016\/j.bbih.2021.100387_bib12","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.euroneuro.2020.11.016","article-title":"Brain-immune crosstalk in the treatment of major depressive disorder","volume":"45","author":"Branchi","year":"2021","journal-title":"Eur. Neuropsychopharmacol"},{"issue":"10","key":"10.1016\/j.bbih.2021.100387_bib13","doi-asserted-by":"crossref","first-page":"989","DOI":"10.1176\/appi.ajp.2018.17111199","article-title":"Meta-analysis of 89 structural MRI studies in posttraumatic stress disorder and comparison with major depressive disorder","volume":"175","author":"Bromis","year":"2018","journal-title":"Am. J. Psychiatr."},{"issue":"2","key":"10.1016\/j.bbih.2021.100387_bib14","doi-asserted-by":"crossref","first-page":"e1031","DOI":"10.1038\/tp.2016.288","article-title":"Military deployment correlates with smaller prefrontal gray matter volume and psychological symptoms in a subclinical population","volume":"7","author":"Butler","year":"2017","journal-title":"Transl. Psychiatry"},{"issue":"6","key":"10.1016\/j.bbih.2021.100387_bib15","doi-asserted-by":"crossref","first-page":"458","DOI":"10.1007\/s11920-006-0051-x","article-title":"The neuropsychology of mood disorders","volume":"8","author":"Chamberlain","year":"2006","journal-title":"Curr. Psychiatr. Rep."},{"key":"10.1016\/j.bbih.2021.100387_bib16","doi-asserted-by":"crossref","first-page":"2151","DOI":"10.3389\/fpsyg.2017.02151","article-title":"Preliminary evidence for the impact of combat experiences on gray matter volume of the posterior insula","volume":"8","author":"Clausen","year":"2017","journal-title":"Front. Psychol."},{"issue":"12","key":"10.1016\/j.bbih.2021.100387_bib17","doi-asserted-by":"crossref","first-page":"1489","DOI":"10.1016\/j.brat.2003.07.010","article-title":"Psychometric properties of the impact of event scale - revised","volume":"41","author":"Creamer","year":"2003","journal-title":"Behav. Res. Ther."},{"key":"10.1016\/j.bbih.2021.100387_bib18","doi-asserted-by":"crossref","first-page":"545","DOI":"10.1146\/annurev.psych.53.100901.135148","article-title":"Depression: perspectives from affective neuroscience","volume":"53","author":"Davidson","year":"2002","journal-title":"Annu. Rev. Psychol."},{"issue":"1","key":"10.1016\/j.bbih.2021.100387_bib19","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1176\/appi.ajp.160.1.64","article-title":"The neural substrates of affective processing in depressed patients treated with venlafaxine","volume":"160","author":"Davidson","year":"2003","journal-title":"Am. J. Psychiatr."},{"issue":"10","key":"10.1016\/j.bbih.2021.100387_bib20","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0239570","article-title":"Residual clinical damage after COVID-19: a retrospective and prospective observational cohort study","volume":"15","author":"De Lorenzo","year":"2020","journal-title":"PLoS One"},{"key":"10.1016\/j.bbih.2021.100387_bib21","first-page":"1","article-title":"Blood neurofilament light chain and total tau levels at admission predict death in COVID-19 patients","author":"De Lorenzo","year":"2021","journal-title":"J.\u00a0Neurol."},{"key":"10.1016\/j.bbih.2021.100387_bib22","series-title":"An Introduction to Generalized Linear Models","author":"Dobson","year":"1990"},{"key":"10.1016\/j.bbih.2021.100387_bib23","series-title":"Brain Abnormalities in COVID-19 Acute\/subacute Phase: a Rapid Systematic Review","author":"Egbert","year":"2020"},{"issue":"8","key":"10.1016\/j.bbih.2021.100387_bib24","doi-asserted-by":"crossref","first-page":"1739","DOI":"10.1097\/00001756-200006050-00028","article-title":"Selective attention to emotional stimuli in a verbal go\/no-go task: an fMRI study","volume":"11","author":"Elliott","year":"2000","journal-title":"Neuroreport"},{"issue":"7","key":"10.1016\/j.bbih.2021.100387_bib25","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1001\/archpsyc.59.7.597","article-title":"The neural basis of mood-congruent processing biases in depression","volume":"59","author":"Elliott","year":"2002","journal-title":"Arch. Gen. Psychiatr."},{"issue":"13","key":"10.1016\/j.bbih.2021.100387_bib26","doi-asserted-by":"crossref","first-page":"2285","DOI":"10.1038\/s41386-019-0485-6","article-title":"Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega-and meta-analyses across 3033 individuals","volume":"44","author":"Favre","year":"2019","journal-title":"Neuropsychopharmacology"},{"issue":"11","key":"10.1016\/j.bbih.2021.100387_bib27","doi-asserted-by":"crossref","first-page":"2179","DOI":"10.1038\/npp.2013.115","article-title":"Chronic interferon-\u03b1 decreases dopamine 2 receptor binding and striatal dopamine release in association with anhedonia-like behavior in nonhuman primates","volume":"38","author":"Felger","year":"2013","journal-title":"Neuropsychopharmacology"},{"issue":"10","key":"10.1016\/j.bbih.2021.100387_bib28","doi-asserted-by":"crossref","first-page":"1358","DOI":"10.1038\/mp.2015.168","article-title":"Inflammation is associated with decreased functional connectivity within corticostriatal reward circuitry in depression","volume":"21","author":"Felger","year":"2016","journal-title":"Mol. Psychiatr."},{"key":"10.1016\/j.bbih.2021.100387_bib29","doi-asserted-by":"crossref","first-page":"410","DOI":"10.1016\/j.bbi.2019.06.037","article-title":"Natural killer cells protect white matter integrity in bipolar disorder","volume":"81","author":"Furlan","year":"2019","journal-title":"Brain Behav. Immun."},{"key":"10.1016\/j.bbih.2021.100387_bib30","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1016\/j.nicl.2014.03.002","article-title":"Depressive symptoms and neuroanatomical structures in community-dwelling women: a combined voxel-based morphometry and diffusion tensor imaging study with tract-based spatial statistics","volume":"4","author":"Hayakawa","year":"2014","journal-title":"Neuroimage: Clinica"},{"key":"10.1016\/j.bbih.2021.100387_bib31","doi-asserted-by":"crossref","first-page":"117177","DOI":"10.1016\/j.neuroimage.2020.117177","article-title":"Salience network functional connectivity is spatially heterogeneous across sensorimotor cortex in healthy humans","volume":"221","author":"Hegarty","year":"2020","journal-title":"Neuroimage"},{"key":"10.1016\/j.bbih.2021.100387_bib32","doi-asserted-by":"crossref","first-page":"655","DOI":"10.1016\/j.jad.2020.01.047","article-title":"White matter microstructural alterations in posttraumatic stress disorder: an ROI and whole-brain based meta-analysis","volume":"266","author":"Ju","year":"2020","journal-title":"J.\u00a0Affect. Disord."},{"key":"10.1016\/j.bbih.2021.100387_bib33","series-title":"Comprehensive Textbook of Psychiatry","author":"Kaplan","year":"2009"},{"issue":"4","key":"10.1016\/j.bbih.2021.100387_bib34","doi-asserted-by":"crossref","first-page":"348","DOI":"10.1006\/enrs.1998.3935","article-title":"Apparent diffusion coefficient on rat brain and nerves intoxicated with methylmercury","volume":"80","author":"Kinoshita","year":"1999","journal-title":"Environ. Res."},{"issue":"7","key":"10.1016\/j.bbih.2021.100387_bib35","doi-asserted-by":"crossref","first-page":"592","DOI":"10.1002\/da.22478","article-title":"Aberrant resting-state brain activity in posttraumatic stress disorder: a meta-analysis and systematic review","volume":"33","author":"Koch","year":"2016","journal-title":"Depress. Anxiety"},{"key":"10.1016\/j.bbih.2021.100387_bib36","series-title":"Encyclopedia of Quality of Life and Well-Being Research","first-page":"3102","article-title":"Impact of event scale","author":"Kolokotroni","year":"2014"},{"issue":"10","key":"10.1016\/j.bbih.2021.100387_bib37","doi-asserted-by":"crossref","first-page":"1979","DOI":"10.1097\/j.pain.0000000000001001","article-title":"Brain signature and functional impact of centralized pain: a multidisciplinary approach to the study of chronic pelvic pain (MAPP) network study","volume":"158","author":"Kutch","year":"2017","journal-title":"Pain"},{"issue":"1","key":"10.1016\/j.bbih.2021.100387_bib38","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1111\/j.1600-0447.2009.01391.x","article-title":"Default mode network connectivity as a predictor of post-traumatic stress disorder symptom severity in acutely traumatized subjects","volume":"121","author":"Lanius","year":"2010","journal-title":"Acta Psychiatr. Scand."},{"issue":"6","key":"10.1016\/j.bbih.2021.100387_bib39","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1038\/nrn1119","article-title":"Looking into the functional architecture of the brain with diffusion MRI","volume":"4","author":"Le Bihan","year":"2003","journal-title":"Nat. Rev. Neurosci."},{"issue":"1","key":"10.1016\/j.bbih.2021.100387_bib40","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1097\/01.yco.0000191500.46411.00","article-title":"Emotional information processing in mood disorders: a review of behavioral and neuroimaging findings","volume":"19","author":"Lepp\u00e4nen","year":"2006","journal-title":"Curr. Opin. Psychiatr."},{"key":"10.1016\/j.bbih.2021.100387_bib41","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.neubiorev.2014.04.003","article-title":"Grey matter reduction associated with posttraumatic stress disorder and traumatic stress","volume":"43","author":"Li","year":"2014","journal-title":"Neurosci. Biobehav. Rev."},{"issue":"1","key":"10.1016\/j.bbih.2021.100387_bib42","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1093\/cercor\/bhx319","article-title":"Distinctive neuroanatomical substrates for depression in bipolar disorder versus major depressive disorder","volume":"29","author":"Matsuo","year":"2019","journal-title":"Cerebr. Cortex"},{"issue":"2","key":"10.1016\/j.bbih.2021.100387_bib43","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/0272-7358(92)90116-P","article-title":"Mood-congruent recall of affectively toned stimuli: a meta-analytic review","volume":"12","author":"Matt","year":"1992","journal-title":"Clin. Psychol. Rev."},{"key":"10.1016\/j.bbih.2021.100387_bib44","doi-asserted-by":"crossref","first-page":"594","DOI":"10.1016\/j.bbi.2020.07.037","article-title":"Anxiety and depression in COVID-19 survivors: role of inflammatory and clinical predictors","volume":"89","author":"Mazza","year":"2020","journal-title":"Brain Behav. Immun."},{"key":"10.1016\/j.bbih.2021.100387_bib45","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1016\/j.bbi.2021.02.021","article-title":"Persistent psychopathology and neurocognitive impairment in COVID-19 survivors: effect of inflammatory biomarkers at three-month follow-up","volume":"94","author":"Mazza","year":"2021","journal-title":"Brain Behav. Immun."},{"key":"10.1016\/j.bbih.2021.100387_bib46","series-title":"Generalized Linear Models","author":"McCullagh","year":"1989"},{"key":"10.1016\/j.bbih.2021.100387_bib47","doi-asserted-by":"crossref","first-page":"1049","DOI":"10.1016\/j.jad.2020.05.146","article-title":"Changes of white matter microstructure after successful treatment of bipolar depression","volume":"274","author":"Melloni","year":"2020","journal-title":"J.\u00a0Affect. Disord."},{"issue":"1","key":"10.1016\/j.bbih.2021.100387_bib48","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/srep33748","article-title":"Trauma-specific grey matter alterations in PTSD","volume":"6","author":"Meng","year":"2016","journal-title":"Sci. Rep."},{"issue":"1","key":"10.1016\/j.bbih.2021.100387_bib49","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1038\/nri.2015.5","article-title":"The role of inflammation in depression: from evolutionary imperative to modern treatment target","volume":"16","author":"Miller","year":"2016","journal-title":"Nat. Rev. Immunol."},{"key":"10.1016\/j.bbih.2021.100387_bib50","series-title":"Brain, Behavior, & Immunity-Health","first-page":"100290","article-title":"Brain imaging in patients with COVID-19: a systematic review","author":"Najt","year":"2021"},{"issue":"4","key":"10.1016\/j.bbih.2021.100387_bib51","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1038\/s41591-021-01283-z","article-title":"Post-acute COVID-19 syndrome","volume":"27","author":"Nalbandian","year":"2021","journal-title":"Nat. Med."},{"key":"10.1016\/j.bbih.2021.100387_bib52","first-page":"1","article-title":"Anxiety and depression and its correlates in patients with coronavirus disease 2019 in Wuhan","author":"Nie","year":"2020","journal-title":"Int. J. Psychiatr. Clin. Pract."},{"issue":"1","key":"10.1016\/j.bbih.2021.100387_bib53","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.pscychresns.2015.01.002","article-title":"A\u00a0systematic review and meta-analysis of magnetic resonance imaging measurement of structural volumes in posttraumatic stress disorder","volume":"232","author":"O'Doherty","year":"2015","journal-title":"Psychiatr. Res. Neuroimaging"},{"issue":"1\u20132","key":"10.1016\/j.bbih.2021.100387_bib54","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1016\/j.jad.2010.09.029","article-title":"Association of seropositivity for influenza and coronaviruses with history of mood disorders and suicide attempts","volume":"130","author":"Okusaga","year":"2011","journal-title":"J.\u00a0Affect. Disord."},{"issue":"11","key":"10.1016\/j.bbih.2021.100387_bib55","doi-asserted-by":"crossref","first-page":"636","DOI":"10.1038\/s41582-020-0398-3","article-title":"Lifting the mask on neurological manifestations of COVID-19","volume":"16","author":"Pezzini","year":"2020","journal-title":"Nat. Rev. Neurol."},{"issue":"5","key":"10.1016\/j.bbih.2021.100387_bib56","doi-asserted-by":"crossref","first-page":"1268","DOI":"10.1002\/hbm.25291","article-title":"Along-tract statistics of neurite orientation dispersion and density imaging diffusion metrics to enhance MR tractography quantitative analysis in healthy controls and in patients with brain tumors","volume":"42","author":"Pieri","year":"2021","journal-title":"Hum. Brain Mapp."},{"issue":"5695","key":"10.1016\/j.bbih.2021.100387_bib57","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1126\/science.1100301","article-title":"The role of the medial frontal cortex in cognitive control","volume":"306","author":"Ridderinkhof","year":"2004","journal-title":"Science"},{"issue":"12","key":"10.1016\/j.bbih.2021.100387_bib58","doi-asserted-by":"crossref","first-page":"2058","DOI":"10.1038\/s41386-020-0785-x","article-title":"All roads lead to the default-mode network\u2014global source of DMN abnormalities in major depressive disorder","volume":"45","author":"Scalabrini","year":"2020","journal-title":"Neuropsychopharmacology"},{"issue":"4","key":"10.1016\/j.bbih.2021.100387_bib59","doi-asserted-by":"crossref","first-page":"3774","DOI":"10.1016\/j.neuroimage.2011.11.032","article-title":"An automated tool for detection of FLAIR-hyperintense white-matter lesions in multiple sclerosis","volume":"59","author":"Schmidt","year":"2012","journal-title":"Neuroimage"},{"issue":"1","key":"10.1016\/j.bbih.2021.100387_bib60","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41467-018-04648-0","article-title":"A\u00a0multi-modal MRI study of the central response to inflammation in rheumatoid arthritis","volume":"9","author":"Schrepf","year":"2018","journal-title":"Nat. Commun."},{"issue":"2","key":"10.1016\/j.bbih.2021.100387_bib61","doi-asserted-by":"crossref","first-page":"759","DOI":"10.1016\/j.neuroimage.2007.12.016","article-title":"Investigation into the neural correlates of emotional augmentation of clinical pain","volume":"40","author":"Schweinhardt","year":"2008","journal-title":"Neuroimage"},{"issue":"9","key":"10.1016\/j.bbih.2021.100387_bib62","doi-asserted-by":"crossref","first-page":"2349","DOI":"10.1523\/JNEUROSCI.5587-06.2007","article-title":"Dissociable intrinsic connectivity networks for salience processing and executive control","volume":"27","author":"Seeley","year":"2007","journal-title":"J.\u00a0Neurosci."},{"key":"10.1016\/j.bbih.2021.100387_bib63","series-title":"Encyclopedia of Quality of Life and Well-Being Research","first-page":"5790","article-title":"Self-rating depression scale (SDS)","author":"Sepehry","year":"2014"},{"key":"10.1016\/j.bbih.2021.100387_bib64","doi-asserted-by":"crossref","first-page":"118242","DOI":"10.1016\/j.neuroimage.2021.118242","article-title":"Deep learning model of fMRI connectivity predicts PTSD symptom trajectories in recent trauma survivors","author":"Sheynin","year":"2021","journal-title":"Neuroimage"},{"key":"10.1016\/j.bbih.2021.100387_bib65","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1016\/j.nicl.2018.05.013","article-title":"Structural white matter changes in adults and children with posttraumatic stress disorder: a systematic review and meta-analysis","volume":"19","author":"Siehl","year":"2018","journal-title":"Neuroimage: Clinica"},{"issue":"1","key":"10.1016\/j.bbih.2021.100387_bib66","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.neuroimage.2008.03.061","article-title":"Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference","volume":"44","author":"Smith","year":"2009","journal-title":"Neuroimage"},{"issue":"1","key":"10.1016\/j.bbih.2021.100387_bib67","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1006\/nimg.2002.1040","article-title":"Accurate, robust, and automated longitudinal and cross-sectional brain change analysis","volume":"17","author":"Smith","year":"2002","journal-title":"Neuroimage"},{"issue":"Suppl. 1","key":"10.1016\/j.bbih.2021.100387_bib68","doi-asserted-by":"crossref","first-page":"S208","DOI":"10.1016\/j.neuroimage.2004.07.051","article-title":"Advances in functional and structural MR image analysis and implementation as FSL","volume":"23","author":"Smith","year":"2004","journal-title":"Neuroimage"},{"issue":"3","key":"10.1016\/j.bbih.2021.100387_bib69","doi-asserted-by":"crossref","first-page":"1714","DOI":"10.1016\/j.neuroimage.2003.07.005","article-title":"Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia","volume":"20","author":"Song","year":"2003","journal-title":"Neuroimage"},{"issue":"5","key":"10.1016\/j.bbih.2021.100387_bib70","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1176\/appi.ajp.2020.20030280","article-title":"Toward circuit mechanisms of pathophysiology in depression","volume":"177","author":"Spellman","year":"2020","journal-title":"Am. J. Psychiatr."},{"issue":"1","key":"10.1016\/j.bbih.2021.100387_bib71","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/j.neuroimage.2010.06.016","article-title":"Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition","volume":"53","author":"Spreng","year":"2010","journal-title":"Neuroimage"},{"issue":"3","key":"10.1016\/j.bbih.2021.100387_bib72","first-page":"352","article-title":"Smaller regional brain volumes predict posttraumatic stress disorder at 3 months after mild traumatic brain injury","volume":"6","author":"Stein","year":"2021","journal-title":"Biol. Psychiatr.: cognitive neuroscience and neuroimaging"},{"issue":"2","key":"10.1016\/j.bbih.2021.100387_bib73","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1002\/mrm.20774","article-title":"Noninvasive detection of cuprizone induced axonal damage and demyelination in the mouse corpus callosum","volume":"55","author":"Sun","year":"2006","journal-title":"Magn. Reson. Med."},{"issue":"3","key":"10.1016\/j.bbih.2021.100387_bib74","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1148\/radiology.216.3.r00se41881","article-title":"Diffusional anisotropy in cranial nerves with maturation: quantitative evaluation with diffusion MR imaging in rats","volume":"216","author":"Takahashi","year":"2000","journal-title":"Radiology"},{"issue":"2","key":"10.1016\/j.bbih.2021.100387_bib75","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/S2215-0366(20)30462-4","article-title":"Bidirectional associations between COVID-19 and psychiatric disorder: retrospective cohort studies of 62 354 COVID-19 cases in the USA","volume":"8","author":"Taquet","year":"2020","journal-title":"The Lancet Psychiatry"},{"issue":"5","key":"10.1016\/j.bbih.2021.100387_bib76","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1016\/S2215-0366(21)00084-5","article-title":"6-month neurological and psychiatric outcomes in 236 379 survivors of COVID-19: a retrospective cohort study using electronic health records","volume":"8","author":"Taquet","year":"2021","journal-title":"The Lancet Psychiatry"},{"issue":"3","key":"10.1016\/j.bbih.2021.100387_bib77","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.biopsych.2003.07.001","article-title":"Diffusion tensor imaging: background, potential, and utility in psychiatric research","volume":"55","author":"Taylor","year":"2004","journal-title":"Biol. Psychiatr."},{"key":"10.1016\/j.bbih.2021.100387_bib78","doi-asserted-by":"crossref","first-page":"1004","DOI":"10.1016\/j.nicl.2016.05.005","article-title":"Functional resting-state fMRI connectivity correlates with serum levels of the S100B protein in the acute phase of traumatic brain injury","volume":"12","author":"Thompson","year":"2016","journal-title":"Neuroimage: Clinica"},{"key":"10.1016\/j.bbih.2021.100387_bib79","first-page":"1","article-title":"Post-traumatic stress symptoms in COVID-19 survivors: a self-report and brain imaging follow-up study","volume":"20","author":"Tu","year":"2021","journal-title":"Mol. Psychiatr."},{"issue":"2","key":"10.1016\/j.bbih.2021.100387_bib80","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.pscychresns.2015.07.015","article-title":"Successful antidepressant chronotherapeutics enhance fronto-limbic neural responses and connectivity in bipolar depression","volume":"233","author":"Vai","year":"2015","journal-title":"Psychiatr. Res."},{"issue":"12","key":"10.1016\/j.bbih.2021.100387_bib81","doi-asserted-by":"crossref","first-page":"2000","DOI":"10.1016\/j.euroneuro.2016.09.640","article-title":"Fronto-limbic effective connectivity as possible predictor of antidepressant response to SSRI administration","volume":"26","author":"Vai","year":"2016","journal-title":"Eur. Neuropsychopharmacol"},{"issue":"2","key":"10.1016\/j.bbih.2021.100387_bib82","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1080\/14737175.2019.1562338","article-title":"Cortico-limbic connectivity as a possible biomarker for bipolar disorder: where are we now?","volume":"19","author":"Vai","year":"2019","journal-title":"Expert Rev. Neurother."},{"key":"10.1016\/j.bbih.2021.100387_bib83","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.euroneuro.2020.03.008","article-title":"Predicting differential diagnosis between bipolar and unipolar depression with multiple kernel learning on multimodal structural neuroimaging","volume":"34","author":"Vai","year":"2020","journal-title":"Eur. Neuropsychopharmacol"},{"issue":"6","key":"10.1016\/j.bbih.2021.100387_bib84","doi-asserted-by":"crossref","first-page":"3328","DOI":"10.1152\/jn.90355.2008","article-title":"Evidence for a frontoparietal control system revealed by intrinsic functional connectivity","volume":"100","author":"Vincent","year":"2008","journal-title":"J.\u00a0Neurophysiol."},{"key":"10.1016\/j.bbih.2021.100387_bib85","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.brainres.2012.09.029","article-title":"A\u00a0preliminary study of alterations in default network connectivity in post-traumatic stress disorder patients following recent trauma","volume":"1484","author":"Wang","year":"2012","journal-title":"Brain Res."},{"issue":"13","key":"10.1016\/j.bbih.2021.100387_bib86","doi-asserted-by":"crossref","first-page":"2833","DOI":"10.1017\/S0033291714000348","article-title":"Reduced gray matter volume in the anterior cingulate, orbitofrontal cortex and thalamus as a function of mild depressive symptoms: a voxel-based morphometric analysis","volume":"44","author":"Webb","year":"2014","journal-title":"Psychol. Med."},{"issue":"10","key":"10.1016\/j.bbih.2021.100387_bib87","doi-asserted-by":"crossref","first-page":"1455","DOI":"10.1038\/mp.2016.72","article-title":"Common and distinct patterns of grey-matter volume alteration in major depression and bipolar disorder: evidence from voxel-based meta-analysis","volume":"22","author":"Wise","year":"2017","journal-title":"Mol. Psychiatr."},{"issue":"1 Suppl. l","key":"10.1016\/j.bbih.2021.100387_bib88","doi-asserted-by":"crossref","first-page":"S173","DOI":"10.1016\/j.neuroimage.2008.10.055","article-title":"Bayesian analysis of neuroimaging data in FSL","volume":"45","author":"Woolrich","year":"2009","journal-title":"Neuroimage"},{"issue":"18","key":"10.1016\/j.bbih.2021.100387_bib89","doi-asserted-by":"crossref","first-page":"9078","DOI":"10.1073\/pnas.1900390116","article-title":"Reduced default mode network functional connectivity in patients with recurrent major depressive disorder","volume":"116","author":"Yan","year":"2019","journal-title":"Proc. Natl. Acad. Sci. Unit. States Am."},{"key":"10.1016\/j.bbih.2021.100387_bib90","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.bbi.2020.05.062","article-title":"Correlation between immune response and self-reported depression during convalescence from COVID-19","volume":"88","author":"Yuan","year":"2020","journal-title":"Brain Behav. Immun."},{"key":"10.1016\/j.bbih.2021.100387_bib91","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.jpsychires.2020.10.037","article-title":"Trauma-focused psychotherapy response in youth with posttraumatic stress disorder is associated with changes in insula volume","volume":"132","author":"Zantvoord","year":"2021","journal-title":"J.\u00a0Psychiatr. Res."},{"issue":"5","key":"10.1016\/j.bbih.2021.100387_bib92","doi-asserted-by":"crossref","first-page":"1498","DOI":"10.1093\/brain\/aws059","article-title":"Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis","volume":"135","author":"Zeng","year":"2012","journal-title":"Brain"},{"issue":"2","key":"10.1016\/j.bbih.2021.100387_bib93","doi-asserted-by":"crossref","first-page":"726","DOI":"10.1093\/cercor\/bhx307","article-title":"The hierarchical organization of the default, dorsal attention and salience networks in adolescents and young adults","volume":"28","author":"Zhou","year":"2018","journal-title":"Cerebr. Cortex"},{"issue":"1","key":"10.1016\/j.bbih.2021.100387_bib94","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1001\/archpsyc.1965.01720310065008","article-title":"A\u00a0self-rating depression scale","volume":"12","author":"Zung","year":"1965","journal-title":"Arch. Gen. Psychiatr."}],"container-title":["Brain, Behavior, &amp; Immunity - Health"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2666354621001903?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2666354621001903?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T22:30:47Z","timestamp":1762986647000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2666354621001903"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":94,"alternative-id":["S2666354621001903"],"URL":"https:\/\/doi.org\/10.1016\/j.bbih.2021.100387","relation":{},"ISSN":["2666-3546"],"issn-type":[{"value":"2666-3546","type":"print"}],"subject":[],"published":{"date-parts":[[2021,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Brain correlates of depression, post-traumatic distress, and inflammatory biomarkers in COVID-19 survivors: A multimodal magnetic resonance imaging study","name":"articletitle","label":"Article Title"},{"value":"Brain, Behavior, & Immunity - Health","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bbih.2021.100387","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"100387"}}