{"id":"W2896055240","doi":"10.3389/fnins.2018.00701","title":"Integrating the Local Property and Topological Structure in the Minimum Spanning Tree Brain Functional Network for Classification of Early Mild Cognitive Impairment","year":2018,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; H. Lundbeck A/S; Servier; National Institutes of Health; Natural Science Foundation of Shanxi Province; National Natural Science Foundation of China; Eisai; Genentech; IXICO; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Eli Lilly and Company; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Computer science; Parahippocampal gyrus; Minimum spanning tree; Support vector machine; Functional connectivity; Pattern recognition (psychology); Cognitive impairment; Property (philosophy); Cognition; Artificial intelligence; Neuroscience; Psychology; Algorithm; Temporal lobe","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006747041,0.0004319157,0.0004781343,0.001877814,0.0003013989,0.0004459805,0.0003474798,0.0004979809,0.0005266013],"category_scores_gemma":[0.001689618,0.000111161,0.0005262147,0.000922631,0.0002788215,0.0008555484,0.0003995756,0.0003295197,0.0001691104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003360645,"about_ca_system_score_gemma":0.0003472839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002990361,"about_ca_topic_score_gemma":0.004525101,"domain_scores_codex":[0.9997912,0.0000545796,0.00001666512,0.00006177146,0.00004314893,0.00003258109],"domain_scores_gemma":[0.9996337,0.0001356653,0.00008651948,0.00002955988,0.00008269205,0.00003186518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007921154,0.0002859186,0.1432463,0.0003948044,0.0005221562,0.0007878873,0.0003953285,0.2044245,0.04461285,0.006237664,0.005470641,0.5928297],"study_design_scores_gemma":[0.00001306309,0.0001045579,0.04752017,0.00002964452,0.0001065874,0.0004304776,0.0001053412,0.9400799,0.004455344,0.006385903,0.0007368556,0.00003204823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7021797,0.001851258,0.292493,0.0003109043,0.00005535068,0.00006995715,0.0005842505,0.0006960421,0.0017595],"genre_scores_gemma":[0.9641576,0.0003785614,0.03430127,0.00002499536,0.00003723506,0.00003776026,0.000510172,0.00002148757,0.0005308569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002990361,"threshold_uncertainty_score":0.005945921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0588503193854725,"score_gpt":0.2825122500455698,"score_spread":0.2236619306600973,"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."}}