{"id":"W4386580829","doi":"10.1101/2023.09.08.556829","title":"Assessing cortical excitability with electroencephalography: a pilot study with EEG-iTBS","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Western University","funders":"Schulich School of Medicine and Dentistry; Schulich School of Medicine and Dentistry, Western University","keywords":"Transcranial magnetic stimulation; Neuroscience; Electroencephalography; Excitatory postsynaptic potential; Motor cortex; Inhibitory postsynaptic potential; Psychology; Transcranial alternating current stimulation; Primary motor cortex; Stimulation","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":[0.001667016,0.001570192,0.001314422,0.000430851,0.0006822691,0.0004016141,0.0005362692,0.0008301839,0.001562226],"category_scores_gemma":[0.001900434,0.0002413863,0.0007705116,0.0003840156,0.001014343,0.0006340581,0.0007060146,0.001036874,0.0005960074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002370218,"about_ca_system_score_gemma":0.0004824966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001512163,"about_ca_topic_score_gemma":0.001679897,"domain_scores_codex":[0.9990735,0.0004681837,0.0000530096,0.0001777433,0.0000958739,0.0001316364],"domain_scores_gemma":[0.9989153,0.0002997041,0.00006640377,0.0001708842,0.0001951054,0.0003526508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0495369,0.2256614,0.1487684,0.001708938,0.001580852,0.01707716,0.009919798,0.001778981,0.408975,0.00033896,0.001946046,0.1327076],"study_design_scores_gemma":[0.005301699,0.6842127,0.2824748,0.00005801877,0.0006627642,0.004615076,0.002561016,0.002113784,0.01430286,0.0002594716,0.003346556,0.00009134234],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968684,0.0002663309,0.001421223,0.0001003335,0.00005102413,0.0006992565,0.0001372849,0.00002584517,0.0004303585],"genre_scores_gemma":[0.9948896,0.0005265319,0.002046444,0.0002271362,0.0001142977,0.0010311,0.0003857997,0.00001855446,0.0007604827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001667016,"threshold_uncertainty_score":0.008816183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05549181218258046,"score_gpt":0.2710801681244934,"score_spread":0.215588355941913,"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."}}