{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,9]],"date-time":"2026-11-09T19:37:17Z","timestamp":1794253037986,"version":"4.9.0"},"reference-count":75,"publisher":"Elsevier BV","issue":"4","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T00:00:00Z","timestamp":1778544000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82171508"],"award-info":[{"award-number":["82171508"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01MH137501"],"award-info":[{"award-number":["R01MH137501"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01MH138682"],"award-info":[{"award-number":["R01MH138682"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","neurotherapeuticsjournal.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurotherapeutics"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.neurot.2026.e00932","type":"journal-article","created":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T03:34:52Z","timestamp":1779334492000},"page":"e00932","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"title":["Heterogeneous brain alterations in treatment-resistant depression converge on common control networks"],"prefix":"10.1016","volume":"23","author":[{"given":"Yiding","family":"Han","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haohao","family":"Yan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenbin","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hengyi","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.neurot.2026.e00932_bib1","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1002\/wps.21120","article-title":"Treatment-resistant depression: definition, prevalence, detection, management, and investigational interventions","volume":"22","author":"McIntyre","year":"2023","journal-title":"World Psychiatry"},{"issue":"9","key":"10.1016\/j.neurot.2026.e00932_bib2","doi-asserted-by":"crossref","first-page":"7","DOI":"10.3928\/02793695-20210816-01","article-title":"Treatment-resistant depression: approaches to treatment","volume":"59","author":"Kverno","year":"2021","journal-title":"J Psychosoc Nurs Ment Health Serv"},{"key":"10.1016\/j.neurot.2026.e00932_bib3","doi-asserted-by":"crossref","first-page":"578","DOI":"10.1016\/j.jad.2021.08.036","article-title":"Economic impact of treatment-resistant depression: a retrospective observational study","volume":"295","author":"P\u00e9rez-Sola","year":"2021","journal-title":"J Affect Disord"},{"issue":"2","key":"10.1016\/j.neurot.2026.e00932_bib4","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1176\/appi.focus.23021004","article-title":"Improving suicide prevention through evidence-based strategies: a systematic review","volume":"21","author":"Mann","year":"2023","journal-title":"Focus"},{"key":"10.1016\/j.neurot.2026.e00932_bib5","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1016\/j.neubiorev.2021.12.008","article-title":"The neurobiology of treatment-resistant depression: a systematic review of neuroimaging studies","volume":"132","author":"Runia","year":"2022","journal-title":"Neurosci Biobehav Rev"},{"issue":"4","key":"10.1016\/j.neurot.2026.e00932_bib6","doi-asserted-by":"crossref","first-page":"134","DOI":"10.3390\/psychiatryint6040134","article-title":"Exploring biological risk factors in treatment-resistant depression","volume":"6","author":"Lievanos-Ruiz","year":"2025","journal-title":"Psychiatry Int"},{"issue":"5","key":"10.1016\/j.neurot.2026.e00932_bib7","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1111\/pcn.13530","article-title":"Structural and functional features of treatment-resistant depression: a systematic review and exploratory coordinate-based meta-analysis of neuroimaging studies","volume":"77","author":"Miola","year":"2023","journal-title":"Psychiatr Clin Neurosci"},{"issue":"5","key":"10.1016\/j.neurot.2026.e00932_bib8","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1001\/jamapsychiatry.2018.0123","article-title":"Association of brain cortical changes with relapse in patients with major depressive disorder","volume":"75","author":"Zaremba","year":"2018","journal-title":"JAMA Psychiatry"},{"key":"10.1016\/j.neurot.2026.e00932_bib9","article-title":"Hippocampal and amygdalar volume changes in major depressive disorder: a targeted review and focus on stress","volume":"4","author":"Nolan","year":"2020","journal-title":"Chron Stress"},{"issue":"13","key":"10.1016\/j.neurot.2026.e00932_bib10","doi-asserted-by":"crossref","first-page":"5963","DOI":"10.1017\/S0033291722002628","article-title":"Modulation of resting-state functional connectivity in default mode network is associated with the long-term treatment outcome in major depressive disorder","volume":"53","author":"Ju","year":"2023","journal-title":"Psychol Med"},{"issue":"1","key":"10.1016\/j.neurot.2026.e00932_bib11","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.biopsych.2012.11.007","article-title":"A treatment-resistant default mode subnetwork in major depression","volume":"74","author":"Li","year":"2013","journal-title":"Biol Psychiatry"},{"issue":"9","key":"10.1016\/j.neurot.2026.e00932_bib12","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1007\/s11920-019-1072-6","article-title":"Intrinsic brain network biomarkers of antidepressant response: a review","volume":"21","author":"Dunlop","year":"2019","journal-title":"Curr Psychiatry Rep"},{"issue":"5","key":"10.1016\/j.neurot.2026.e00932_bib13","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1001\/jamapsychiatry.2025.0013","article-title":"Accelerated theta-burst stimulation for treatment-resistant depression: a randomized clinical trial","volume":"82","author":"Ramos","year":"2025","journal-title":"JAMA Psychiatry"},{"issue":"2","key":"10.1016\/j.neurot.2026.e00932_bib14","doi-asserted-by":"crossref","first-page":"315","DOI":"10.3171\/2011.10.JNS102122","article-title":"A multicenter pilot study of subcallosal cingulate area deep brain stimulation for treatment-resistant depression","volume":"116","author":"Lozano","year":"2012","journal-title":"J Neurosurg"},{"issue":"10131","key":"10.1016\/j.neurot.2026.e00932_bib15","doi-asserted-by":"crossref","first-page":"1683","DOI":"10.1016\/S0140-6736(18)30295-2","article-title":"Effectiveness of theta burst versus high-frequency repetitive transcranial magnetic stimulation in patients with depression (THREE-D): a randomised non-inferiority trial","volume":"391","author":"Blumberger","year":"2018","journal-title":"Lancet"},{"issue":"5","key":"10.1016\/j.neurot.2026.e00932_bib16","doi-asserted-by":"crossref","first-page":"1226","DOI":"10.1016\/j.brs.2021.08.010","article-title":"A connectomic analysis of deep brain stimulation for treatment-resistant depression","volume":"14","author":"Zhu","year":"2021","journal-title":"Brain Stimul"},{"issue":"5","key":"10.1016\/j.neurot.2026.e00932_bib17","doi-asserted-by":"crossref","DOI":"10.1192\/bjo.2019.58","article-title":"Structural brain characteristics in treatment-resistant depression: review of magnetic resonance imaging studies","volume":"5","author":"Klok","year":"2019","journal-title":"BJPsych Open"},{"issue":"23","key":"10.1016\/j.neurot.2026.e00932_bib18","doi-asserted-by":"crossref","first-page":"2237","DOI":"10.1056\/NEJMra1706158","article-title":"Mapping symptoms to brain networks with the human connectome","volume":"379","author":"Fox","year":"2018","journal-title":"N Engl J Med"},{"issue":"1","key":"10.1016\/j.neurot.2026.e00932_bib19","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1093\/brain\/awy292","article-title":"Network localization of heterogeneous neuroimaging findings","volume":"142","author":"Darby","year":"2019","journal-title":"Brain"},{"issue":"12","key":"10.1016\/j.neurot.2026.e00932_bib20","doi-asserted-by":"crossref","first-page":"1119","DOI":"10.1176\/appi.ajp.2021.21010088","article-title":"Coordinate-based network mapping of brain structure in major depressive disorder in younger and older adults: a systematic review and meta-analysis","volume":"178","author":"Zhukovsky","year":"2021","journal-title":"Am J Psychiatry"},{"key":"10.1016\/j.neurot.2026.e00932_bib21","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.jad.2017.10.049","article-title":"Neuroimaging biomarkers as predictors of treatment outcome in major depressive disorder","volume":"233","author":"Fonseka","year":"2018","journal-title":"J Affect Disord"},{"key":"10.1016\/j.neurot.2026.e00932_bib22","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.neuroimage.2018.10.006","article-title":"Mapping the human brain's cortical-subcortical functional network organization","volume":"185","author":"Ji","year":"2019","journal-title":"Neuroimage"},{"key":"10.1016\/j.neurot.2026.e00932_bib23","doi-asserted-by":"crossref","DOI":"10.1038\/sdata.2015.31","article-title":"Brain genomics superstruct project initial data release with structural, functional, and behavioral measures","volume":"2","author":"Holmes","year":"2015","journal-title":"Sci Data"},{"issue":"3","key":"10.1016\/j.neurot.2026.e00932_bib24","doi-asserted-by":"crossref","first-page":"1125","DOI":"10.1152\/jn.00338.2011","article-title":"The organization of the human cerebral cortex estimated by intrinsic functional connectivity","volume":"106","author":"Yeo","year":"2011","journal-title":"J Neurophysiol"},{"issue":"4","key":"10.1016\/j.neurot.2026.e00932_bib25","doi-asserted-by":"crossref","first-page":"1408","DOI":"10.1016\/j.neuroimage.2009.05.005","article-title":"Correlations and anticorrelations in resting-state functional connectivity MRI: a quantitative comparison of preprocessing strategies","volume":"47","author":"Weissenbacher","year":"2009","journal-title":"Neuroimage"},{"issue":"3","key":"10.1016\/j.neurot.2026.e00932_bib26","doi-asserted-by":"crossref","first-page":"893","DOI":"10.1016\/j.neuroimage.2008.09.036","article-title":"The impact of global signal regression on resting state correlations: are anti-correlated networks introduced?","volume":"44","author":"Murphy","year":"2009","journal-title":"Neuroimage"},{"issue":"2","key":"10.1016\/j.neurot.2026.e00932_bib27","doi-asserted-by":"crossref","first-page":"1420","DOI":"10.1016\/j.neuroimage.2011.08.048","article-title":"Anticorrelations in resting state networks without global signal regression","volume":"59","author":"Chai","year":"2012","journal-title":"Neuroimage"},{"issue":"1","key":"10.1016\/j.neurot.2026.e00932_bib28","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1006\/nimg.2001.0978","article-title":"Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain","volume":"15","author":"Tzourio-Mazoyer","year":"2002","journal-title":"Neuroimage"},{"key":"10.1016\/j.neurot.2026.e00932_bib29","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2020.117038","article-title":"Generative modeling of brain maps with spatial autocorrelation","volume":"220","author":"Burt","year":"2020","journal-title":"Neuroimage"},{"issue":"44","key":"10.1016\/j.neurot.2026.e00932_bib30","doi-asserted-by":"crossref","first-page":"12574","DOI":"10.1073\/pnas.1608282113","article-title":"Situating the default-mode network along a principal gradient of macroscale cortical organization","volume":"113","author":"Margulies","year":"2016","journal-title":"Proc Natl Acad Sci U S A"},{"key":"10.1016\/j.neurot.2026.e00932_bib31","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.neubiorev.2017.11.012","article-title":"Ten simple rules for neuroimaging meta-analysis","volume":"84","author":"M\u00fcller","year":"2018","journal-title":"Neurosci Biobehav Rev"},{"key":"10.1016\/j.neurot.2026.e00932_bib32","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.neuroimage.2016.04.072","article-title":"Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation","volume":"137","author":"Eickhoff","year":"2016","journal-title":"Neuroimage"},{"key":"10.1016\/j.neurot.2026.e00932_bib33","article-title":"Altered brain function in treatment-resistant and non-treatment-resistant depression patients: a resting-state functional magnetic resonance imaging study","volume":"13","author":"Sun","year":"2022","journal-title":"Front Psychiatr"},{"issue":"2","key":"10.1016\/j.neurot.2026.e00932_bib34","doi-asserted-by":"crossref","first-page":"529","DOI":"10.3233\/JAD-170855","article-title":"Deficits in regional cerebral blood flow on brain SPECT predict treatment resistant depression","volume":"63","author":"Amen","year":"2018","journal-title":"J Alzheimers Dis"},{"issue":"11","key":"10.1016\/j.neurot.2026.e00932_bib35","doi-asserted-by":"crossref","first-page":"1065","DOI":"10.1002\/da.22675","article-title":"Amygdala and regional volumes in treatment-resistant versus nontreatment-resistant depression patients","volume":"34","author":"Sandu","year":"2017","journal-title":"Depress Anxiety"},{"issue":"9","key":"10.1016\/j.neurot.2026.e00932_bib36","doi-asserted-by":"crossref","first-page":"698","DOI":"10.1111\/eip.13509","article-title":"The potential predictors for treatment-resistance depression after selective serotonin reuptake inhibitors therapy in han Chinese: a resting-state functional magnetic resonance imaging study","volume":"18","author":"Li","year":"2024","journal-title":"Early Interv Psychiatry"},{"issue":"7","key":"10.1016\/j.neurot.2026.e00932_bib37","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0132958","article-title":"Structural MRI-based predictions in patients with treatment-refractory depression (TRD)","volume":"10","author":"Johnston","year":"2015","journal-title":"PLoS One"},{"issue":"26","key":"10.1016\/j.neurot.2026.e00932_bib38","doi-asserted-by":"crossref","first-page":"11073","DOI":"10.1073\/pnas.0704320104","article-title":"Distinct brain networks for adaptive and stable task control in humans","volume":"104","author":"Dosenbach","year":"2007","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"10","key":"10.1016\/j.neurot.2026.e00932_bib39","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1016\/j.tics.2013.08.006","article-title":"Dynamic cooperation and competition between brain systems during cognitive control","volume":"17","author":"Cocchi","year":"2013","journal-title":"Trends Cognit Sci"},{"issue":"2","key":"10.1016\/j.neurot.2026.e00932_bib40","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1007\/s11682-018-0011-1","article-title":"Opposite subgenual cingulate cortical functional connectivity and metabolic activity patterns in refractory melancholic major depression","volume":"14","author":"Wu","year":"2020","journal-title":"Brain Imaging Behav"},{"issue":"7","key":"10.1016\/j.neurot.2026.e00932_bib41","doi-asserted-by":"crossref","first-page":"3490","DOI":"10.1093\/cercor\/bhac286","article-title":"Lateralized subgenual ACC metabolic connectivity patterns in refractory melancholic depression: does it matter?","volume":"33","author":"Wu","year":"2023","journal-title":"Cerebr Cortex"},{"issue":"1","key":"10.1016\/j.neurot.2026.e00932_bib42","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.brs.2021.12.003","volume":"15","author":"Wu","year":"2022","journal-title":"Brain Stimul"},{"issue":"5","key":"10.1016\/j.neurot.2026.e00932_bib43","doi-asserted-by":"crossref","first-page":"919","DOI":"10.1016\/j.brs.2017.07.002","article-title":"Functional connectivity of the left DLPFC to striatum predicts treatment response of depression to TMS","volume":"10","author":"Avissar","year":"2017","journal-title":"Brain Stimul"},{"issue":"16","key":"10.1016\/j.neurot.2026.e00932_bib44","doi-asserted-by":"crossref","first-page":"5217","DOI":"10.1002\/hbm.25611","article-title":"Increased functional interaction within frontoparietal network during working memory task in major depressive disorder","volume":"42","author":"Cao","year":"2021","journal-title":"Hum Brain Mapp"},{"key":"10.1016\/j.neurot.2026.e00932_bib45","doi-asserted-by":"crossref","DOI":"10.3389\/fpsyt.2022.929812","article-title":"Decreased modular segregation of the frontal-parietal network in major depressive disorder","volume":"13","author":"Lan","year":"2022","journal-title":"Front Psychiatr"},{"issue":"8030","key":"10.1016\/j.neurot.2026.e00932_bib46","doi-asserted-by":"crossref","first-page":"624","DOI":"10.1038\/s41586-024-07805-2","article-title":"Frontostriatal salience network expansion in individuals in depression","volume":"633","author":"Lynch","year":"2024","journal-title":"Nature"},{"key":"10.1016\/j.neurot.2026.e00932_bib47","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1016\/j.jad.2016.04.046","article-title":"Dysfunction of the cingulo-opercular network in first-episode medication-naive patients with major depressive disorder","volume":"200","author":"Wu","year":"2016","journal-title":"J Affect Disord"},{"issue":"1","key":"10.1016\/j.neurot.2026.e00932_bib48","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1162\/netn_a_00056","article-title":"Global connectivity of the fronto-parietal cognitive control network is related to depression symptoms in the general population","volume":"3","author":"Schultz","year":"2019","journal-title":"Network Neurosci"},{"issue":"6","key":"10.1016\/j.neurot.2026.e00932_bib49","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1001\/jamapsychiatry.2015.0071","article-title":"Large-scale network dysfunction in major depressive disorder: a meta-analysis of resting-state functional connectivity","volume":"72","author":"Kaiser","year":"2015","journal-title":"JAMA Psychiatry"},{"issue":"7","key":"10.1016\/j.neurot.2026.e00932_bib50","doi-asserted-by":"crossref","DOI":"10.1002\/hbm.26702","article-title":"Structural and functional brain alterations in subthreshold depression: a multimodal coordinate-based meta-analysis","volume":"45","author":"Li","year":"2024","journal-title":"Hum Brain Mapp"},{"issue":"6","key":"10.1016\/j.neurot.2026.e00932_bib51","doi-asserted-by":"crossref","first-page":"2624","DOI":"10.1093\/cercor\/bhy130","article-title":"Functional fractionation of the cingulo-opercular network: alerting insula and updating cingulate","volume":"29","author":"Han","year":"2019","journal-title":"Cerebr Cortex"},{"issue":"5","key":"10.1016\/j.neurot.2026.e00932_bib52","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1016\/j.euroneuro.2019.02.012","article-title":"Baseline effective connectivity predicts response to repetitive transcranial magnetic stimulation in patients with treatment-resistant depression","volume":"29","author":"Iwabuchi","year":"2019","journal-title":"Eur Neuropsychopharmacol"},{"issue":"21","key":"10.1016\/j.neurot.2026.e00932_bib53","doi-asserted-by":"crossref","DOI":"10.1073\/pnas.2218958120","article-title":"Targeted neurostimulation reverses a spatiotemporal biomarker of treatment-resistant depression","volume":"120","author":"Mitra","year":"2023","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"3","key":"10.1016\/j.neurot.2026.e00932_bib54","doi-asserted-by":"crossref","first-page":"2349","DOI":"10.1016\/j.neuroimage.2011.09.017","article-title":"Activation likelihood estimation meta-analysis revisited","volume":"59","author":"Eickhoff","year":"2012","journal-title":"Neuroimage"},{"issue":"Pt 10","key":"10.1016\/j.neurot.2026.e00932_bib55","doi-asserted-by":"crossref","first-page":"3061","DOI":"10.1093\/brain\/awv228","article-title":"Network localization of neurological symptoms from focal brain lesions","volume":"138","author":"Boes","year":"2015","journal-title":"Brain"},{"issue":"3","key":"10.1016\/j.neurot.2026.e00932_bib56","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1038\/nrn3901","article-title":"The connectomics of brain disorders","volume":"16","author":"Fornito","year":"2015","journal-title":"Nat Rev Neurosci"},{"issue":"3","key":"10.1016\/j.neurot.2026.e00932_bib57","doi-asserted-by":"crossref","first-page":"1019","DOI":"10.1152\/physrev.00006.2019","article-title":"Brain lateralization: a comparative perspective","volume":"100","author":"G\u00fcnt\u00fcrk\u00fcn","year":"2020","journal-title":"Physiol Rev"},{"issue":"1","key":"10.1016\/j.neurot.2026.e00932_bib58","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1038\/s41398-025-03715-7","article-title":"Dynamic changes in hemispheric lateralization in major depressive disorder correlate with neurotransmitter and genetic profiles: a DIRECT consortium study","volume":"15","author":"Ping","year":"2025","journal-title":"Transl Psychiatry"},{"key":"10.1016\/j.neurot.2026.e00932_bib59","doi-asserted-by":"crossref","DOI":"10.1038\/srep20170","article-title":"Visualising inter-subject variability in fMRI using threshold-weighted overlap maps","volume":"6","author":"Seghier","year":"2016","journal-title":"Sci Rep"},{"issue":"5","key":"10.1016\/j.neurot.2026.e00932_bib60","doi-asserted-by":"crossref","DOI":"10.1093\/braincomms\/fcad256","article-title":"Effective connectivity between deep brain stimulation targets in individuals with treatment-resistant depression","volume":"5","author":"Amiri","year":"2023","journal-title":"Brain Commun"},{"issue":"1","key":"10.1016\/j.neurot.2026.e00932_bib61","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.biopsych.2017.10.028","article-title":"Prospective validation that subgenual connectivity predicts antidepressant efficacy of transcranial magnetic stimulation sites","volume":"84","author":"Weigand","year":"2018","journal-title":"Biol Psychiatry"},{"key":"10.1016\/j.neurot.2026.e00932_bib62","doi-asserted-by":"crossref","first-page":"538","DOI":"10.1016\/j.jad.2024.11.043","article-title":"Role of the insula in rTMS response for depression","volume":"370","author":"Wu","year":"2025","journal-title":"J Affect Disord"},{"issue":"12","key":"10.1016\/j.neurot.2026.e00932_bib63","doi-asserted-by":"crossref","first-page":"1707","DOI":"10.1038\/s41562-021-01161-1","article-title":"Brain stimulation and brain lesions converge on common causal circuits in neuropsychiatric disease","volume":"5","author":"Siddiqi","year":"2021","journal-title":"Nat Hum Behav"},{"issue":"6","key":"10.1016\/j.neurot.2026.e00932_bib64","doi-asserted-by":"crossref","DOI":"10.1038\/tp.2016.104","article-title":"A mega-analysis of fixed-dose trials reveals dose-dependency and a rapid onset of action for the antidepressant effect of three selective serotonin reuptake inhibitors","volume":"6","author":"Hieronymus","year":"2016","journal-title":"Transl Psychiatry"},{"issue":"2","key":"10.1016\/j.neurot.2026.e00932_bib65","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1159\/000520554","article-title":"Dose-response relationship in selective serotonin and norepinephrine reuptake inhibitors in the treatment of major depressive disorder: a meta-analysis and network meta-analysis of randomized controlled trials","volume":"91","author":"Rink","year":"2022","journal-title":"Psychother Psychosom"},{"issue":"1","key":"10.1016\/j.neurot.2026.e00932_bib66","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.neuropharm.2011.07.036","article-title":"Towards a glutamate hypothesis of depression: an emerging frontier of neuropsychopharmacology for mood disorders","volume":"62","author":"Sanacora","year":"2012","journal-title":"Neuropharmacology"},{"issue":"7","key":"10.1016\/j.neurot.2026.e00932_bib67","doi-asserted-by":"crossref","first-page":"952","DOI":"10.1038\/s41380-018-0252-9","article-title":"Glutamatergic neurometabolite levels in major depressive disorder: a systematic review and meta-analysis of proton magnetic resonance spectroscopy studies","volume":"24","author":"Moriguchi","year":"2019","journal-title":"Mol Psychiatr"},{"issue":"6","key":"10.1016\/j.neurot.2026.e00932_bib68","doi-asserted-by":"crossref","first-page":"1146","DOI":"10.1111\/bph.15753","article-title":"Novel drug developmental strategies for treatment-resistant depression","volume":"179","author":"Borb\u00e9ly","year":"2022","journal-title":"Br J Pharmacol"},{"issue":"11","key":"10.1016\/j.neurot.2026.e00932_bib69","doi-asserted-by":"crossref","first-page":"1058","DOI":"10.1177\/02698811231200881","article-title":"Dopamine in major depressive disorder: a systematic review and meta-analysis of in vivo imaging studies","volume":"37","author":"Mizuno","year":"2023","journal-title":"J Psychopharmacol"},{"issue":"12","key":"10.1016\/j.neurot.2026.e00932_bib70","doi-asserted-by":"crossref","first-page":"1151","DOI":"10.1016\/j.biopsych.2005.09.018","article-title":"The mesolimbic dopamine reward circuit in depression","volume":"59","author":"Nestler","year":"2006","journal-title":"Biol Psychiatry"},{"key":"10.1016\/j.neurot.2026.e00932_bib71","first-page":"1","article-title":"Functional and effective connectivity disruptions of the dopaminergic reward circuit in multiple sclerosis patients with depression","author":"Lombardi","year":"2026","journal-title":"J Neurol Neurosurg Psychiatry"},{"issue":"1","key":"10.1016\/j.neurot.2026.e00932_bib72","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1186\/s12888-020-02546-8","article-title":"Mental and somatic comorbidity of depression: a comprehensive cross-sectional analysis of 202 diagnosis groups using German nationwide ambulatory claims data","volume":"20","author":"Steffen","year":"2020","journal-title":"BMC Psychiatry"},{"issue":"1-3","key":"10.1016\/j.neurot.2026.e00932_bib73","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1016\/j.jad.2011.07.017","article-title":"State dependent posterior hippocampal volume increases in patients with major depressive disorder","volume":"135","author":"Schermuly","year":"2011","journal-title":"J Affect Disord"},{"issue":"13","key":"10.1016\/j.neurot.2026.e00932_bib74","doi-asserted-by":"crossref","DOI":"10.1073\/pnas.2527522123","article-title":"Correspondence of large-scale functional brain network decline across aging mice and humans","volume":"123","author":"Winter-Nelson","year":"2026","journal-title":"Proc Natl Acad Sci U S A"},{"key":"10.1016\/j.neurot.2026.e00932_bib75","first-page":"1","article-title":"Developmental changes of the white matter functional connectome","author":"Feng","year":"2026","journal-title":"Mol Psychiatr"}],"container-title":["Neurotherapeutics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1878747926001029?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1878747926001029?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T19:57:40Z","timestamp":1789243060000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1878747926001029"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":75,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2026,7]]}},"alternative-id":["S1878747926001029"],"URL":"https:\/\/doi.org\/10.1016\/j.neurot.2026.e00932","relation":{},"ISSN":["1878-7479"],"issn-type":[{"value":"1878-7479","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Heterogeneous brain alterations in treatment-resistant depression converge on common control networks","name":"articletitle","label":"Article Title"},{"value":"Neurotherapeutics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neurot.2026.e00932","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Author(s). Published by Elsevier Inc. on behalf of American Society for Experimental NeuroTherapeutics.","name":"copyright","label":"Copyright"}],"article-number":"e00932"}}