{"id":"W2159580216","doi":"10.1016/j.neuroimage.2004.07.020","title":"Partial least squares analysis of neuroimaging data: applications and advances","year":2004,"lang":"en","type":"article","venue":"NeuroImage","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":1191,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Baycrest Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; James S. McDonnell Foundation","keywords":"Resampling; Neuroimaging; Computer science; Functional magnetic resonance imaging; Magnetoencephalography; Permutation (music); Partial least squares regression; Artificial intelligence; Positron emission tomography; Machine learning; Pattern recognition (psychology); Data mining; Psychology; Electroencephalography; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05770519256464518,"score_gpt":0.317848290448442,"score_spread":0.2601430978837968,"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."}}