{"id":"W4291295890","doi":"10.1101/2022.08.13.503840","title":"Low intensity repetitive transcranial magnetic stimulation modulates brain-wide functional connectivity to promote anti-correlated activity","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Parvalbumin; Neuroscience; Interneuron; Stimulation; Premovement neuronal activity; Transcranial magnetic stimulation; Striatum; Psychology; Amygdala; Functional magnetic resonance imaging; c-Fos; Brain activity and meditation; Electroencephalography; Biology; Inhibitory postsynaptic potential; Gene expression","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":[0.0000678329,0.0002359726,0.0001606978,0.0001510935,0.00006120978,0.0001256279,0.0001691996,0.000159603,0.001154613],"category_scores_gemma":[0.0001430971,0.00006776534,0.0001655749,0.00006918672,0.0001667745,0.0001390165,0.0001221252,0.000278263,0.0001057389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001647227,"about_ca_system_score_gemma":0.0001152268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002626927,"about_ca_topic_score_gemma":0.0006622978,"domain_scores_codex":[0.9999523,0.000005587757,0.000003521977,0.00001496677,0.00001112494,0.00001243648],"domain_scores_gemma":[0.9999251,0.00001043581,0.00003113073,0.000005645496,0.00001071523,0.00001690005],"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":[0.00008092841,0.00002156152,0.0002462256,0.00003937165,0.000009296419,0.00001786264,0.000006500198,0.00009836338,0.9970547,0.00003432445,0.00003071324,0.002360148],"study_design_scores_gemma":[0.0000867237,0.002248544,0.07769811,0.00003205795,0.0001165977,0.0005042671,0.00006480888,0.006478608,0.9105381,0.0004116169,0.001807082,0.00001346569],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905874,0.0007432824,0.007225091,0.00008347852,0.00002210417,0.00003145719,0.0001587105,0.0001572024,0.0009913163],"genre_scores_gemma":[0.996922,0.0003053616,0.002078403,0.00005469207,0.00001069688,0.00004044453,0.00008168103,0.00001369532,0.0004930383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001154613,"threshold_uncertainty_score":0.0038625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02313435189730684,"score_gpt":0.2338943278617274,"score_spread":0.2107599759644206,"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."}}