Effective connectivity model differences of emotion regulation in major depressive disorder: dynamic causal modeling analysis

Download

mustafa_ozaydin_tez.pdf

Date

2021-9

Author

Özaydın, Mustafa

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

393
views

274
downloads

Major Depressive Disorder (MDD) is a mental disorder and one of the most critical and prevalent disorders in the world. Unlike other diseases, the diagnosis of mental disorders does not easily conform to objective tests. Medical experts consider several indicators to be able to distinguish a depressed person from a normal individual, and finding robust markers to aid diagnosis is still an active area of research. The recent proliferation of neuroimaging methods has brought up new opportunities in that regard. This study aims to contribute to these efforts by investigating the utility of Dynamic Causal Modeling (DCM) based effective connectivity measures for distinguishing MDD patients and healthy controls based on their responses to emotional stimuli. The analysis was conducted over an open fMRI dataset, including the brain responses of MDD patients and healthy controls to an emotional musical stimuli task. The results of the DCM effective connectivity model reveal an increasing sgACC to Amygdala connectivity and reduced dlPFC to Amygdala connectivity in the healthy controls compared to MDD patients. Thus, the findings of this study suggest that such differences in effective connectivity patterns in response to emotional stimuli can be useful in distinguishing MDD cases from healthy subjects.

Subject Keywords

Major depressive disorder, Effective connectivity, fMRI, Dynamic causal modeling

URI

https://hdl.handle.net/11511/93174

Collections

Graduate School of Informatics, Thesis

Suggestions

OpenMETU
Core

Impaired bottom-up effective connectivity between amygdala and subgenual anterior cingulate cortex in unmedicated adolescents with major depression: results from a dynamic causal modeling analysis Musgrove, Donald R.; Eberly, Lynn E.; Klimes-Dougan, Bonnie; Basgoze, Zeynep; Thomas, Kathleen M.; Mueller, Bryon A.; Houri, Alaa; Lim, Kelvin O.; Cullen, Kathryn R. (Mary Ann Liebert Inc, 2015-12) Major depressive disorder (MDD) is a significant contributor to lifetime disability and frequently emerges in adolescence, yet little is known about the neural mechanisms of MDD in adolescents. Dynamic causal modeling (DCM) analysis is an innovative tool that can shed light on neural network abnormalities. A DCM analysis was conducted to test several frontolimbic effective connectivity models in 27 adolescents with MDD and 21 healthy adolescents. The best neural model for each person was identified using Ba...
What is related to the well-being of the siblings of patients with schizophrenia: An evaluation within the Lazarus and Folkman's Transactional Stress and Coping Model Avcioglu, Muazzez Merve; Karancı, Ayşe Nuray; Soygur, Haldun (2019-05-01) Background: Schizophrenia is a chronic mental illness that strongly affects not only the patients with schizophrenia, but also their families and close relatives. So far, family research on patients with schizophrenia has mainly focused on parents, but has neglected siblings. Aim: This study aims to evaluate the well-being of 103 siblings of patients with schizophrenia within the Lazarus and Folkman's Transactional Coping and Stress Model. Materials: A Sociodemographic Information Form, Subjective Well-bein...
Living with schizophrenia: Perspectives of Turkish people with schizophrenia from two Patient Associations on how the illness affects their lives Karancı, Ayşe Nuray; Kumpasoğlu, Güler Beril; Can, Demet; Cakir, Ekin; Karaaslan, Cemrenur; Semerci, Mine; Tuzun, Duygu (2019-03-01) Background: Schizophrenia is a chronic mental illness affecting the social and occupational lives of the sufferers and posing a considerable burden on the patients and their families. Furthermore, negative societal reactions and the internalization of these attitudes exacerbate the difficulties encountered. This study examines the perspectives of Turkish people with schizophrenia on how they view the impact of the illness on their lives, the societal reactions and attitudes to schizophrenia and whether they...
Psychometric Properties of the Turkish Version of the Screening Instrument for Borderline Personality Disorder Ünsal, Cansu; Alma Uzuntuna, Leyla; Gündoğmuş, İbrahim; Par, Asuhan; Yalim, Esra; Öksüz, Esra (2022-09-01) Patients with borderline personality disorder are a population for whom mental health professionals have difficulty in both diagnosing and providing treatment services. This study aimed to investigate the psychometric properties of the Screening Instrument for Borderline Personality Disorder (SI-Bord) in a Turkish sample. Participants were invited to study via online methods between August 2020 and October 2020. Data were collected from 661 participants ranging between the ages of 18 and 67 (Mean = 35.99). ...
Unique Contributions of Metacognition and Cognition to Depressive Symptoms YILMAZ, ADVİYE ESİN; Gençöz, Tülin; Wells, Adrian (2015-01-01) This study attempts to examine the unique contributions of cognitions or metacognitions to depressive symptoms while controlling for their intercorrelations and comorbid anxiety. Two-hundred-and-fifty-one university students participated in the study. Two complementary hierarchical multiple regression analyses were performed, in which symptoms of depression were regressed on the dysfunctional attitudes (DAS-24 subscales) and metacognition scales (Negative Beliefs about Rumination Scale [NBRS] and Positive B...

Citation Formats

M. Özaydın, “Effective connectivity model differences of emotion regulation in major depressive disorder: dynamic causal modeling analysis,” M.S. - Master of Science, Middle East Technical University, 2021.