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Authordc.contributor.authorThakkar, Ishani
Authordc.contributor.authorMassardo Vega, Lucia Teresa del Pilar
Authordc.contributor.authorPereira, Jaime
Authordc.contributor.authorQuintana, Juan Carlos
Authordc.contributor.authorRisco Neira, Luis Eduardo
Authordc.contributor.authorSáez, Claudia G
Authordc.contributor.authorCorral, Sebastián
Authordc.contributor.authorVilla, Carolina
Authordc.contributor.authorSpuler Villarroel, Jane Grace
Authordc.contributor.authorOlivares, Nixa
Authordc.contributor.authorValenzuela, Guillermo
Authordc.contributor.authorCastro, Gabriel
Authordc.contributor.authorRiedel de Juan, Byron Esteban
Authordc.contributor.authorVicentini, Daniel
Authordc.contributor.authorMuñoz, Diego
Authordc.contributor.authorLastra, Raúl
Authordc.contributor.authorRodríguez Fernández, María
Cita de ítemdc.identifier.citationAppl. Sci. 2021, 11, 2827es_ES
Abstractdc.description.abstractStatins are widely used as an effective therapy for ischemic vascular disorders and employed for primary and secondary prevention in cardiac and cerebrovascular diseases. Their hemostatic mechanism has also been shown to induce changes in cerebral blood flow that may result in neurocognitive improvement in subjects with Major Depressive Disorder. Behavioral data, various blood tests, and resting-state brain perfusion data were obtained at the start of this study and three months post-therapy from a small cohort of participants diagnosed with Major Depressive Disorder. Subjects received either rosuvastatin (10 mg) or placebo with their standard selective serotonin reuptake inhibitors therapy. At the end of the study, patients using rosuvastatin reported more positive mood changes than placebo users. However, standard statistical tests revealed no significant differences in any non-behavioral variables before and after the study. In contrast, feature selection techniques allowed identifying a small set of variables that may be affected by statin use and contribute to mood improvement. Classification models built to assess the distinguishability between the two groups showed an accuracy higher than 85% using only five selected features: two peripheral platelet activation markers, perfusion abnormality in the left inferior temporal gyrus, Attention Switching Task Reaction latency, and serum phosphorus levels. Thus, using machine learning tools, we could identify factors that may be causing self-reported mood improvement in patients due to statin use, possibly suggesting a regulatory role of statins in the pathogenesis of clinical depression.es_ES
Patrocinadordc.description.sponsorshipComision Nacional de Investigacion Cientifica y Tecnologica (CONICYT) CONICYT FONDECYT 1160885 1181094 2020 ANID doctoral scholarship 21201983 Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT) PIA ACT 172121es_ES
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
Link to Licensedc.rights.uri*
Sourcedc.sourceApplied Sciences-Baseles_ES
Keywordsdc.subjectFeature selectiones_ES
Keywordsdc.subjectMachine learninges_ES
Títulodc.titleIdentification of statin’s action in a small cohort of patients with major depressiones_ES
Document typedc.typeArtículo de revistaes_ES
dc.description.versiondc.description.versionVersión publicada - versión final del editores_ES
dcterms.accessRightsdcterms.accessRightsAcceso abiertoes_ES
Indexationuchile.indexArtículo de publícación WoSes_ES
Indexationuchile.indexArtículo de publicación SCOPUSes_ES

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Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States