{"id":"W4289667392","doi":"10.1101/2022.08.02.22278343","title":"Functional Correlates of Cognitive Performance and Working Memory in Temporal Lobe Epilepsy: Insights from Task-based and Resting-state fMRI","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Consejo Nacional de Ciencia y Tecnología","keywords":"Cognition; Temporal lobe; Default mode network; Functional magnetic resonance imaging; Working memory; Resting state fMRI; Neuroscience; Psychology; Epilepsy; Effects of sleep deprivation on cognitive performance; Audiology; Brain activity and meditation; Elementary cognitive task; Cognitive psychology; Medicine; Electroencephalography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002511638,0.0002197157,0.0001260706,0.0005140932,0.0001128845,0.0002387251,0.0001500781,0.0002550823,0.0005664838],"category_scores_gemma":[0.0008379279,0.00007825918,0.0001647689,0.0002407324,0.0002365534,0.0002258455,0.0001737546,0.0001419933,0.00005224081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001001398,"about_ca_system_score_gemma":0.00007163018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001140749,"about_ca_topic_score_gemma":0.002474948,"domain_scores_codex":[0.9999421,0.00001756445,0.000006666625,0.00001415101,0.000009954637,0.000009552506],"domain_scores_gemma":[0.9997391,0.00008840571,0.00009454214,0.00002466216,0.0000236104,0.00002968629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0021203,0.000432062,0.7408974,0.000152571,0.0004751293,0.001332374,0.0009696041,0.001447672,0.2228289,0.0002530874,0.0002060387,0.02888476],"study_design_scores_gemma":[0.00001030944,0.0001446609,0.9955445,0.000003039233,0.00003094494,0.0006020517,0.0001075863,0.0009649345,0.002419278,0.0001126037,0.00005481991,0.000005250251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994208,0.00005974304,0.0002590728,0.000008313066,6.199007e-7,0.000003179361,0.00006589288,0.000003124617,0.0001792595],"genre_scores_gemma":[0.9996443,0.00002909255,0.0001821188,0.000005284749,0.000002082589,0.000004961254,0.00008915574,0.000001167471,0.00004189195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001140749,"threshold_uncertainty_score":0.002268255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04574924416809095,"score_gpt":0.2486397610100587,"score_spread":0.2028905168419677,"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."}}