000146951 001__ 146951
000146951 005__ 20241129141115.0
000146951 0247_ $$2doi$$a10.1111/psyp.14729
000146951 0248_ $$2sideral$$a140641
000146951 037__ $$aART-2024-140641
000146951 041__ $$aeng
000146951 100__ $$aPagès, Esther García
000146951 245__ $$aContribution of physiological dynamics in predicting major depressive disorder severity
000146951 260__ $$c2024
000146951 5060_ $$aAccess copy available to the general public$$fUnrestricted
000146951 5203_ $$aThis study aimed to explore the physiological dynamics of cognitive stress in patients with Major Depressive Disorder (MDD) and design a multiparametric model for objectively measuring severity of depression. Physiological signal recordings from 40 MDD patients and 40 healthy controls were collected in a baseline stage, in a stress‐inducing stage using two cognitive tests, and in the recovery period. Several features were extracted from electrocardiography, photoplethysmography, electrodermal activity, respiration, and temperature. Differences between values of these features under different conditions were used as indexes of autonomic reactivity and recovery. Finally, a linear model was designed to assess MDD severity, using the Beck Depression Inventory scores as the outcome variable. The performance of this model was assessed using the MDD condition as the response variable. General physiological hyporeactivity and poor recovery from stress predict depression severity across all physiological signals except for respiration. The model to predict depression severity included gender, body mass index, cognitive scores, and mean heart rate recovery, and achieved an accuracy of 78%, a sensitivity of 97% and a specificity of 59%. There is an observed correlation between the behavior of the autonomic nervous system, assessed through physiological signals analysis, and depression severity. Our findings demonstrated that decreased autonomic reactivity and recovery are linked with an increased level of depression. Quantifying the stress response together with a cognitive evaluation and personalization variables may facilitate a more precise diagnosis and monitoring of depression, enabling the tailoring of therapeutic interventions to individual patient needs.
000146951 536__ $$9info:eu-repo/grantAgreement/ES/AEI/RTI2018-096072-B-I00$$9info:eu-repo/grantAgreement/ES/DGA/T39-23R$$9info:eu-repo/grantAgreement/EC/H2020/115902/EU/Remote Assessment of Disease and Relapse in Central Nervous System Disorders/RADAR-CNS$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 115902-RADAR-CNS$$9info:eu-repo/grantAgreement/ES/ISCIII/CB06-01-0049$$9info:eu-repo/grantAgreement/EUR/MICINN/TED2021-131106B-I00
000146951 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttp://creativecommons.org/licenses/by-nc/3.0/es/
000146951 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000146951 700__ $$0(orcid)0000-0002-1297-0691$$aKontaxis, Spyridon
000146951 700__ $$aSiddi, Sara
000146951 700__ $$aPosadas de Miguel, Mar
000146951 700__ $$0(orcid)0000-0003-2284-7862$$aCámara, Concepción de la$$uUniversidad de Zaragoza
000146951 700__ $$0(orcid)0000-0002-8222-1418$$aBernal, Maria Luisa$$uUniversidad de Zaragoza
000146951 700__ $$aRibeiro, Thais Castro
000146951 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna, Pablo$$uUniversidad de Zaragoza
000146951 700__ $$aBadiella, Llorenç
000146951 700__ $$0(orcid)0000-0003-1272-0550$$aBailón, Raquel$$uUniversidad de Zaragoza
000146951 700__ $$aHaro, Josep Maria
000146951 700__ $$aAguiló, Jordi
000146951 7102_ $$11012$$2315$$aUniversidad de Zaragoza$$bDpto. Farmac.Fisiol.y Med.L.F.$$cÁrea Farmacología
000146951 7102_ $$11007$$2745$$aUniversidad de Zaragoza$$bDpto. Medicina, Psiqu. y Derm.$$cArea Psiquiatría
000146951 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000146951 773__ $$g(2024), e14729 [22 pp.]$$pPsychophysiology$$tPSYCHOPHYSIOLOGY$$x0048-5772
000146951 8564_ $$s1058228$$uhttps://zaguan.unizar.es/record/146951/files/texto_completo.pdf$$yVersión publicada
000146951 8564_ $$s2365192$$uhttps://zaguan.unizar.es/record/146951/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000146951 909CO $$ooai:zaguan.unizar.es:146951$$particulos$$pdriver
000146951 951__ $$a2024-11-29-13:24:54
000146951 980__ $$aARTICLE