{"id":"W2121817756","doi":"10.1002/hbm.22941","title":"Negative childhood experiences alter a prefrontal‐insular‐motor cortical network in healthy adults: A preliminary multimodal rsfMRI‐fMRI‐MRS‐dMRI study","year":2015,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Toronto; Royal Ottawa Mental Health Centre; University of Ottawa","funders":"National Center for Research Resources; National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research","keywords":"Psychology; Prefrontal cortex; Resting state fMRI; Functional magnetic resonance imaging; Neuroscience; Fractional anisotropy; Insula; Supplementary motor area; Brain activity and meditation; Amygdala; Brain mapping; White matter; Audiology; Magnetic resonance imaging; Cognition; Medicine; Electroencephalography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000191968,0.0004803178,0.0002718636,0.0004045216,0.0005747084,0.0003856661,0.0001392835,0.0004276887,0.001640784],"category_scores_gemma":[0.0005205498,0.0002469273,0.000171639,0.0002414284,0.0003959726,0.0002592264,0.0003175103,0.000326185,0.0002552309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002341282,"about_ca_system_score_gemma":0.0001571534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004681756,"about_ca_topic_score_gemma":0.00678936,"domain_scores_codex":[0.9999251,0.0000104031,0.000005802128,0.0000290216,0.000009944827,0.00001966211],"domain_scores_gemma":[0.9998424,0.00001756485,0.00005027633,0.00001375285,0.00002093049,0.0000549666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003537515,0.001431801,0.9390281,0.0001205922,0.0001844395,0.006449501,0.003075572,0.0003182465,0.03174821,0.0001486832,0.0005335719,0.01342371],"study_design_scores_gemma":[0.00001804412,0.0005166911,0.9975425,0.000003145587,0.00002072711,0.001050853,0.0003453233,0.00006301497,0.0002820399,0.00002909263,0.0001237131,0.00000491401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995139,0.00007218711,0.00005206955,0.00002040125,0.000002358647,0.00001299328,0.00008211996,0.000002039957,0.0002419484],"genre_scores_gemma":[0.9994794,0.00007066898,0.00007533256,0.00002604881,0.000005964427,0.00001268576,0.0001007684,0.0000012131,0.0002280411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004681756,"threshold_uncertainty_score":0.009309053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05188102518132714,"score_gpt":0.2977731189775611,"score_spread":0.2458920937962339,"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."}}