{"id":"W4399067391","doi":"10.1016/j.jns.2024.123065","title":"Structural network topology associated with naming improvements following intensive aphasia therapy in post-stroke aphasia","year":2024,"lang":"en","type":"article","venue":"Journal of the Neurological Sciences","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"Canadian Institutes of Health Research; Cumming School of Medicine, University of Calgary","keywords":"Aphasia; Connectomics; Connectome; Stroke (engine); Modularity (biology); Psychology; Neurology; Medicine; Diffusion MRI; Boston Naming Test; Neuroscience; Physical medicine and rehabilitation; Audiology; Neuropsychology; Magnetic resonance imaging; Functional connectivity; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002958369,0.0001373412,0.0001406691,0.0007880488,0.0001226649,0.0002971171,0.0001388004,0.0002030359,0.001111851],"category_scores_gemma":[0.002617514,0.00008873366,0.0001520369,0.0004420373,0.0002221406,0.0003487399,0.0002162329,0.0001913715,0.0000841344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002825804,"about_ca_system_score_gemma":0.0001520931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00345142,"about_ca_topic_score_gemma":0.005562746,"domain_scores_codex":[0.999908,0.00002497994,0.000008705782,0.00002580061,0.00001495583,0.00001766813],"domain_scores_gemma":[0.9990262,0.0003029388,0.0004321441,0.00005987331,0.00009689117,0.00008185569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002116866,0.0002473622,0.8331644,0.0001369695,0.0004964932,0.001016727,0.001951732,0.008034741,0.08259106,0.0006809852,0.0007921316,0.06877055],"study_design_scores_gemma":[0.000005441836,0.0001277786,0.993611,0.000005001955,0.00004087894,0.000304167,0.000126531,0.004016702,0.001220527,0.0004038214,0.0001310867,0.000007043885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991442,0.00004378132,0.0004811405,0.00002213148,0.000001124082,0.00000569386,0.0001016404,0.0000130821,0.0001872848],"genre_scores_gemma":[0.9992936,0.00003358199,0.0003488252,0.000004602728,0.000001485615,0.00000914205,0.0001630405,0.000002867728,0.0001429242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00345142,"threshold_uncertainty_score":0.00686264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03772816639456374,"score_gpt":0.288635346954079,"score_spread":0.2509071805595153,"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."}}