{"id":"W2062657302","doi":"10.1016/j.neuroscience.2012.09.039","title":"Glutamate modulates resting state activity in the perigenual anterior cingulate cortex – A combined fMRI–MRS study","year":2012,"lang":"en","type":"article","venue":"Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Deutsche Forschungsgemeinschaft; Hope for Depression Research Foundation","keywords":"Resting state fMRI; Neuroscience; Anterior cingulate cortex; Glutamatergic; Glutamate receptor; Brain activity and meditation; Anticipation (artificial intelligence); Default mode network; Premovement neuronal activity; Psychology; Stimulus (psychology); Functional magnetic resonance imaging; Electroencephalography; Cognition; Medicine; Internal medicine; Cognitive psychology","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001545083,0.0003002902,0.0003012017,0.0001847635,0.0009140169,0.000223518,0.0007697483,0.00003235878,0.000006783495],"category_scores_gemma":[0.008890739,0.0002248021,0.00006726412,0.001374109,0.000489592,0.001027045,0.0004246805,0.0004225774,0.00002927808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007418887,"about_ca_system_score_gemma":0.00005422605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000133847,"about_ca_topic_score_gemma":0.00007947615,"domain_scores_codex":[0.9961292,0.0008439458,0.000319833,0.0008896812,0.0008980393,0.0009193687],"domain_scores_gemma":[0.9963073,0.002767424,0.0001973813,0.0005733068,0.00004091074,0.0001137245],"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":[0.0001310772,0.0008900221,0.2063821,0.00001228935,0.000001560738,0.00009039072,0.005698082,0.0003981624,0.785042,0.00007138444,0.00006025043,0.001222733],"study_design_scores_gemma":[0.0005368423,0.000519333,0.9747384,0.0000174529,0.000006720486,0.00006749249,0.0004413013,0.005157107,0.01792052,0.0001048149,0.0002361027,0.0002538905],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958938,0.00001857621,0.00005583744,0.00130851,0.00139723,0.0008612899,0.00001375805,0.0001399987,0.000310984],"genre_scores_gemma":[0.9966066,0.00001098739,0.00001524428,0.003040205,0.00006653723,0.00008163323,1.147058e-7,0.00002484445,0.0001537655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7683564,"threshold_uncertainty_score":0.9994578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05112440985974012,"score_gpt":0.3016671161850651,"score_spread":0.2505427063253249,"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."}}