{"id":"W3126146049","doi":"10.1016/j.bandc.2020.105659","title":"Increased links between language and motor areas: A proof-of-concept study on resting-state functional connectivity following Personalized Observation, Execution and Mental imagery therapy in chronic aphasia","year":2021,"lang":"en","type":"article","venue":"Brain and Cognition","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; Université de Montréal","funders":"Heart and Stroke Foundation of Canada","keywords":"Psychology; Aphasia; Precentral gyrus; Neuroscience; Middle temporal gyrus; Resting state fMRI; Motor imagery; Functional magnetic resonance imaging; Motor cortex; Supplementary motor area; Inferior parietal lobule; Superior parietal lobule; Cognitive psychology; Cognition; Premotor cortex; Mental image; Inferior frontal gyrus; Medicine; Electroencephalography; Magnetic resonance imaging; Brain–computer interface","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":[0.0003765471,0.0001340415,0.0001975775,0.0001145715,0.000139646,0.00004216619,0.00001964308,0.0001076442,0.0001026943],"category_scores_gemma":[0.0002099674,0.0001404,0.00003315356,0.0002314281,0.00006747061,0.0002150911,0.00001577238,0.0001681948,9.87086e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006773929,"about_ca_system_score_gemma":0.00006905104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000112326,"about_ca_topic_score_gemma":0.00007322853,"domain_scores_codex":[0.998689,0.0004106573,0.0002610598,0.0003470151,0.0001695593,0.0001226949],"domain_scores_gemma":[0.9992988,0.0003346981,0.0001342553,0.00008697699,0.0000949519,0.00005035501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001191872,0.001394479,0.7268076,0.00008635449,0.0003722571,0.0000870398,0.0314852,0.000008016029,0.03862983,0.0003048669,0.0003480567,0.1992844],"study_design_scores_gemma":[0.006607106,0.0005544809,0.9822724,0.00008764089,0.00002698382,0.00001461165,0.00777397,0.0005022175,0.00162957,0.000293713,0.00008117696,0.0001560553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961003,0.0005019313,0.00193576,0.0004728694,0.00009782139,0.0006571911,0.00004525928,0.00003601761,0.000152842],"genre_scores_gemma":[0.9987124,0.00001442447,0.00004691247,0.0003431338,0.00008931338,0.00008821659,0.0004813482,0.00001423557,0.0002099762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2554649,"threshold_uncertainty_score":0.5725347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0475262897913518,"score_gpt":0.3159256156980844,"score_spread":0.2683993259067326,"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."}}