{"id":"W2912702435","doi":"10.1016/j.neuroimage.2019.01.080","title":"The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint","year":2019,"lang":"en","type":"article","venue":"NeuroImage","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Western University; Sunnybrook Health Science Centre; Toronto Western Hospital; Université Laval","funders":"National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Institute of Mental Health; Medical Research Council; National Institute for Health and Care Research; National Institute of Biomedical Imaging and Bioengineering; Wellcome Trust; National Institutes of Health; National Science Foundation","keywords":"Frontotemporal dementia; Neuroimaging; Dementia; Neuroscience; Psychology; Functional magnetic resonance imaging; Biomarker; Medicine; Internal medicine; Biology; Genetics; Disease","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002354732,0.0002806181,0.0001527248,0.001105707,0.0003518573,0.0005407032,0.0001812632,0.0002554444,0.001498879],"category_scores_gemma":[0.0009071006,0.0001435357,0.00009913013,0.000555911,0.0004880574,0.0005856418,0.0002753783,0.0003242383,0.0001374492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002138629,"about_ca_system_score_gemma":0.0001369242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001730684,"about_ca_topic_score_gemma":0.00319486,"domain_scores_codex":[0.9999561,0.000008421,0.000003911836,0.000009523351,0.000009803611,0.00001222048],"domain_scores_gemma":[0.9998534,0.00004685306,0.00005000956,0.00001249605,0.00001489526,0.00002226633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005665941,0.0002894515,0.5228498,0.0004994987,0.0003853471,0.02646991,0.003201064,0.001591133,0.1926649,0.004902146,0.003669272,0.2378116],"study_design_scores_gemma":[0.00001772062,0.000233219,0.9822563,0.00002110967,0.0000565372,0.009331592,0.0005911156,0.0008616287,0.003627846,0.001691754,0.001296322,0.00001499167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927497,0.001538694,0.0007921334,0.0001415664,0.00001763035,0.00001610493,0.0001723726,0.00002036482,0.004551393],"genre_scores_gemma":[0.998745,0.0004317603,0.000271624,0.00003025987,0.00003421533,0.00000515149,0.00006601828,0.000008331001,0.0004076421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001730684,"threshold_uncertainty_score":0.005014241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821512718137796,"score_gpt":0.2487078960964415,"score_spread":0.2304927689150635,"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."}}