{"id":"W4315490931","doi":"10.3389/fnagi.2022.1037347","title":"Increased functional connectivity patterns in mild Alzheimer’s disease: A rsfMRI study","year":2023,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Ministerio de Ciencia e Innovación; Northern California Institute for Research and Education; Pfizer; Novartis Pharmaceuticals Corporation; University of Southern California; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association","keywords":"Functional connectivity; Neuroscience; Disease; Alzheimer's disease; Environmental enrichment; Psychology; Medicine; Internal medicine","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":[0.0005728913,0.0004900794,0.0003082505,0.001236336,0.0003615597,0.0003718176,0.0004005897,0.0004498297,0.001112179],"category_scores_gemma":[0.001783534,0.000159931,0.0003225656,0.0005977181,0.0003343105,0.0003691662,0.0003345598,0.0003391349,0.0002204092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000221054,"about_ca_system_score_gemma":0.0001789435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002975132,"about_ca_topic_score_gemma":0.005150832,"domain_scores_codex":[0.9998075,0.0000393611,0.00001651997,0.00008097798,0.00002957308,0.00002606965],"domain_scores_gemma":[0.9995217,0.00008567578,0.0001632677,0.00005483491,0.00006784561,0.0001067771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001287714,0.0005301727,0.947624,0.0002954004,0.0009426133,0.002488425,0.001286159,0.0004630327,0.01587151,0.000364762,0.001046894,0.02779943],"study_design_scores_gemma":[0.00001693336,0.0001515272,0.9970673,0.000008669855,0.0001123914,0.00129199,0.0001183085,0.0004178215,0.000278181,0.0002027082,0.0003254481,0.000008921109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982057,0.0007198662,0.0003370438,0.00005459521,0.000008444214,0.00002940254,0.0002295545,0.000006446321,0.0004088963],"genre_scores_gemma":[0.9987607,0.0002190195,0.0004834421,0.00002576808,0.00004463688,0.00002304805,0.0003053865,0.000002854675,0.0001351074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002975132,"threshold_uncertainty_score":0.005915642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07218512501935576,"score_gpt":0.2934669723885944,"score_spread":0.2212818473692387,"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."}}