{"id":"W4411022811","doi":"10.1016/j.scib.2025.05.042","title":"Subgenual anterior cingulate cortex functional connectivity abnormalities in depression: insights from brain imaging big data and precision-guided personalized intervention via transcranial magnetic stimulation","year":2025,"lang":"en","type":"article","venue":"Science Bulletin","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"Key Research and Development Program of Sichuan Province; National Key Research and Development Program of China; National Postdoctoral Program for Innovative Talents; China Postdoctoral Science Foundation; Beijing Nova Program; Natural Science Foundation of Beijing Municipality; Canadian Institutes of Health Research; Centre for Addiction and Mental Health; China Scholarship Council; Chinese Academy of Sciences; National Institutes of Health; National Natural Science Foundation of China; Fondation Brain Canada","keywords":"Transcranial magnetic stimulation; Major depressive disorder; Anterior cingulate cortex; Neuroscience; Dorsolateral prefrontal cortex; Psychology; Neuroimaging; Functional magnetic resonance imaging; Prefrontal cortex; Medicine; Stimulation; Cognition","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001269249,0.0002548034,0.0003120352,0.0005264573,0.0007352786,0.0002570132,0.0005386182,0.00006077823,0.0002630866],"category_scores_gemma":[0.00776371,0.0002438784,0.00006364958,0.0008825136,0.001176935,0.0006257879,0.0006357392,0.0002390539,0.00001851748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001406165,"about_ca_system_score_gemma":0.0001628249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007527392,"about_ca_topic_score_gemma":0.0004104048,"domain_scores_codex":[0.9965241,0.0004143204,0.0004947704,0.001466259,0.0007343644,0.0003661967],"domain_scores_gemma":[0.9950043,0.00412985,0.0001431707,0.0005049703,0.0001322075,0.00008550166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001307426,0.0003603696,0.06354749,0.00007357407,0.00001494725,0.00005738561,0.002262382,0.0002848442,0.8186083,0.0006114157,0.002799525,0.1100724],"study_design_scores_gemma":[0.00390385,0.0001096555,0.9115179,0.0004442481,0.00003083937,0.00004736051,0.0005571775,0.06111832,0.01120573,0.005439632,0.00520252,0.0004227456],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772914,0.0008644223,0.01534495,0.003882925,0.001580693,0.0004625267,0.0000856884,0.00008563105,0.0004017656],"genre_scores_gemma":[0.9977253,0.00002416582,0.0002271125,0.001467483,0.0001270238,0.00003210221,0.00001712814,0.0000122302,0.0003674327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8479704,"threshold_uncertainty_score":0.9945073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03561056238035635,"score_gpt":0.2878015290367727,"score_spread":0.2521909666564163,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}