Repository logo
 
Publication

Assessment reliability and treatment of depression

datacite.subject.fosCiências Médicas::Outras Ciências Médicaspt_PT
dc.contributor.advisorPrata, Diana
dc.contributor.advisorAverbeck, Bruno
dc.contributor.authorZelenina, Maria
dc.date.accessioned2025-07-01T13:40:59Z
dc.date.embargo2027-06
dc.date.issued2025-05-16
dc.date.submitted2025-01-02
dc.description.abstractDepression is a global problem, which causes significant distress, heavy economic burden, and is potentially lethal. The amount of research articles that try to understand causes of depression and investigate potential cures, have been growing over the last few decades. To ensure the validity of depression research, it is important to use valid measurements of depression. In this work, we examine two measures of depression - the Child Behavior Checklist (CBCL) and a depression-related subset of scales of the Hierarchical Taxonomy of Psychopathology (HiTOP). We find both scales to be valid in their corresponding samples. Finally, we look into oxytocin, a neuropeptide that has shown potential as a treatment of depression in combination with antidepressants and/or cognitive behavior therapy. We look at the longevity of the effect of oxytocin on human brain, as measured by electroencephalography (EEG), and the nature of this effect. Our findings can inform the design of future experiments that use oxytocin in human research.pt_PT
dc.description.sponsorshipNIH Pre-doctoral Intramural Research Training Award 6930pt_PT
dc.identifier.tid101708530pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/101942
dc.language.isoengpt_PT
dc.subjectDepressionpt_PT
dc.subjectHiTOPpt_PT
dc.subjectCBCLpt_PT
dc.subjectOxytocinpt_PT
dc.subjectEEGpt_PT
dc.subjectDepressãopt_PT
dc.subjectOcitocinapt_PT
dc.titleAssessment reliability and treatment of depressionpt_PT
dc.typedoctoral thesis
dspace.entity.typePublication
person.familyNameZelenina
person.givenNameMaria
person.identifier.ciencia-idE41E-5C6D-ACC6
person.identifier.orcid0000-0002-7403-5383
rcaap.rightsembargoedAccesspt_PT
rcaap.typedoctoralThesispt_PT
relation.isAuthorOfPublication9a808a75-5584-48db-b17d-07f5a0046ca0
relation.isAuthorOfPublication.latestForDiscovery9a808a75-5584-48db-b17d-07f5a0046ca0
thesis.degree.nameTese de doutoramento, Engenharia Biomédica e Biofísica, Universidade de Lisboa, Faculdade de Ciências, 2025pt_PT

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
scnd990026354742734_td_Maria_Zelenina.pdf
Size:
9.03 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.2 KB
Format:
Item-specific license agreed upon to submission
Description: