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1.
J Affect Disord ; 351: 184-193, 2024 Apr 15.
Article in English | MEDLINE | ID: mdl-38286231

ABSTRACT

BACKGROUND: Existing research indicates that individuals with Major Depressive Disorder (MDD) exhibit a bias toward salient negative stimuli. However, the impact of such biased stimuli on concurrent cognitive and affective processes in individuals with depression remains inadequately understood. This study aimed to investigate the effects of salient environmental stimuli, specifically emotional faces, on reward-associated processes in MDD. METHODS: Thirty-three patients with recurrent MDD and thirty-two healthy controls (HC) matched for age, sex, and education were included in the study. We used a reward-related associative learning (RRAL) task primed with emotional (happy, sad, neutral) faces to investigate the effect of salient stimuli on reward-related learning and decision-making in functional magnetic resonance imaging (fMRI). Participants were instructed to ignore emotional faces during the task. The fMRI data were analyzed using a full-factorial general linear model (GLM) in Statistical Parametric Mapping (SPM12). RESULTS: In depressed patients, cues primed with sad faces were associated with reduced amygdala activation. However, both HC and MDD group exhibited reduced ventral striatal activity while learning reward-related cues and receiving rewards. LIMITATIONS: The patients'medication usage was not standardized. CONCLUSIONS: This study underscores the functional alteration of the amygdala in response to cognitive tasks presented with negative emotionally salient stimuli in the environment of MDD patients. The observed alterations in amygdala activity suggest potential interconnected effects with other regions of the prefrontal cortex. Understanding the intricate neural connections and their disruptions in depression is crucial for unraveling the complex pathophysiology of the disorder.


Subject(s)
Depressive Disorder, Major , Humans , Depressive Disorder, Major/drug therapy , Probability Learning , Facial Expression , Emotions/physiology , Happiness , Magnetic Resonance Imaging , Brain Mapping
2.
Psychol Med ; 49(8): 1346-1356, 2019 06.
Article in English | MEDLINE | ID: mdl-30101737

ABSTRACT

BACKGROUND: Psychotic experiences (PEs) may predict a range of common, non-psychotic disorders as well as psychotic disorders. In this representative, general population-based cohort study, both psychotic and non-psychotic disorder outcomes of PE were analysed, as were potential moderators. METHODS: Addresses were contacted in a multistage clustered probability sampling frame covering 11 districts and 302 neighbourhoods at baseline (n = 4011). Participants were interviewed with the Composite International Diagnostic Interview (CIDI) both at baseline and at 6-year follow-up. Participants with PE at baseline were clinically re-interviewed with the SCID-I at follow-up. The role of socio-demographics, characteristics of PE, co-occurrence of mood disorders and family history of mental disorders were tested in the association between baseline PE and follow-up diagnosis. RESULTS: In the participants with baseline PE, the psychotic disorder diagnosis rate at follow up was 7.0% - much lower than the rates of DSM-IV mood disorders without psychotic features (42.8%) and other non-psychotic disorders (24.1%). Within the group with baseline PE, female sex, lower socio-economic status, co-occurrence of mood disorders, family history of a mental disorder and persistence of PE predicted any follow-up DSM diagnosis. Furthermore, onset of psychotic v. non-psychotic disorder was predicted by younger age (15-30 years), co-presence of delusional and hallucinatory PE and family history of severe mental illness. CONCLUSION: The outcome of PE appears to be a consequence of baseline severity of multidimensional psychopathology and familial risk. It may be useful to consider PE as a risk indicator that has trans-diagnostic value.


Subject(s)
Mood Disorders/epidemiology , Psychotic Disorders/epidemiology , Adolescent , Adult , Diagnostic and Statistical Manual of Mental Disorders , Female , Follow-Up Studies , Humans , Logistic Models , Male , Middle Aged , Psychopathology , Residence Characteristics , Risk Factors , Turkey/epidemiology , Young Adult
3.
Asian J Psychiatr ; 30: 196-199, 2017 Dec.
Article in English | MEDLINE | ID: mdl-29121560

ABSTRACT

INTRODUCTION: Advanced age is one of the risk factors for attempting suicide. Suicide attempts are one of the reasons for elderly patients to admit emergency services. The aim of this study was to investigate the relationship between suicidal behavior and sociodemographic factors and concurrent somatic diseases. METHODS: The medical records of patients aged 60 years and over who presented to the emergency department of our university hospital for attempted suicide between the dates of January 1, 2007 and December 31, 2015 were screened retrospectively. Individuals recorded as cases of suicide on the forensic case report form were identified, the data recorded at our hospital were obtained, and telephone interviews were conducted to acquire any missing data. RESULTS: A total of 63 patients with a mean age of 65.88 years were included in the study. A large proportion of the suicide attempts occurred in the years 2014 and 2015. Overall, 23.8% of the patients had a previous history of suicide attempt. Overdose was the method in 74.6% of the suicide attempts, and 70.2% were impulsive; 63.5% of the patients had a history of psychiatric disease. The most common psychopathology was major depressive disorder. CONCLUSION: We found that suicide attempts were more common among older adults with a history of depression, that approximately one in four had previously attempted suicide, and that the majority of individuals attempting suicide chose to use their own medication.


Subject(s)
Aging , Alcoholism/epidemiology , Depressive Disorder, Major/epidemiology , Drug Overdose/epidemiology , Suicide, Attempted/statistics & numerical data , Aged , Aged, 80 and over , Bipolar Disorder/epidemiology , Dementia/epidemiology , Emergency Service, Hospital/statistics & numerical data , Female , Hospitals, University/statistics & numerical data , Humans , Male , Middle Aged , Psychotic Disorders/epidemiology , Retrospective Studies , Risk Factors , Turkey/epidemiology
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