{"id":"W4391536528","doi":"10.3389/fnimg.2024.1341732","title":"Contrasting MEG effects of anodal and cathodal high-definition TDCS on sensorimotor activity during voluntary finger movements","year":2024,"lang":"en","type":"article","venue":"Frontiers in Neuroimaging","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Baycrest Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Transcranial direct-current stimulation; Magnetoencephalography; Neuroscience; Motor cortex; Excitatory postsynaptic potential; Stimulation; Psychology; Inhibitory postsynaptic potential; Proprioception; Sensory system; Transcranial magnetic stimulation; Sensorimotor cortex; Primary motor cortex; Brain stimulation; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001029325,0.0002026101,0.0002793201,0.0003097603,0.0001253516,0.00005919196,0.00008460749,0.00003673735,0.000003245125],"category_scores_gemma":[0.0004500141,0.0002153054,0.0000458074,0.0003091474,0.0001363398,0.000245345,0.00005957411,0.0002758012,0.00000202918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006064438,"about_ca_system_score_gemma":0.00001588457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006189753,"about_ca_topic_score_gemma":0.000001200242,"domain_scores_codex":[0.9984396,0.0001684019,0.0002400263,0.000557047,0.000293825,0.0003011126],"domain_scores_gemma":[0.999011,0.0007213134,0.00006371775,0.0001405681,0.00001587116,0.00004748811],"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":[0.0001689115,0.00007418133,0.03096224,0.0005079752,0.00001057784,0.0002764505,0.0007093947,0.0002063031,0.96061,0.00009448617,0.00005917404,0.006320264],"study_design_scores_gemma":[0.001709995,0.0001726841,0.8119746,0.0004733682,0.00003790824,0.00001603697,0.00004154697,0.01913956,0.165526,0.0006036083,0.00003840483,0.0002662814],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942046,0.0002320207,0.002366054,0.0002359733,0.002195999,0.0003584956,0.00002288196,0.0001240386,0.0002599731],"genre_scores_gemma":[0.9982259,0.00006273605,0.001360273,0.0001857758,0.00008165292,0.00001721625,6.901164e-7,0.00003335248,0.00003238145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7950841,"threshold_uncertainty_score":0.8779898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579990192675179,"score_gpt":0.2407952364595475,"score_spread":0.2249953345327957,"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."}}