PubMed İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://acikerisim2.beykoz.edu.tr/handle/20.500.12879/5

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Case Report: Physiological and Psychological Underpinnings of Muscle Dysmorphia Using EEG, GSR, and Eye-Tracking
(Frontiers Media SA, 2025) Cinaroglu, Metin; Ulker, Selami Varol; Yilmazer, Eda; Sayar, Goekben Hizli
Background Muscle dysmorphia (MD), a subtype of Body Dysmorphic Disorder (BDD), involves an obsessive preoccupation with perceived insufficient muscularity despite an objectively muscular physique. While its psychological features are well-documented, physiological and attentional underpinnings remain underexplored.Objective This exploratory, proof-of-concept case series examines the psychological, physiological, and attentional characteristics of individuals with varying experiences of MD using a multimodal approach combining electroencephalography (EEG), galvanic skin response (GSR), and eye-tracking technologies.Methods Three male participants were purposefully selected to represent distinct clinical profiles: one with active MD and steroid use, one in sustained remission from MD, and one with no MD history. Participants completed validated psychological scales (MDDI, BIDQ, STAI, RSES) and were exposed to personalized visual stimuli (past, current, and idealized body images). A triangulated recording protocol was used to capture EEG, GSR, and eye-tracking data during stimulus exposure.Results Participants with current and past MD showed elevated beta wave activity, increased skin conductance, and attentional biases toward muscular regions, corresponding with higher self-reported distress and anxiety. In contrast, the control participant exhibited stable physiological responses and emotionally neutral reactions. Triangulated data revealed coherent patterns across subjective and physiological domains, supporting the internal validity of the findings despite the small sample.Conclusion These findings illustrate the potential of multimodal assessment in identifying candidate psychophysiological markers of MD. While not generalizable, this case-series provides a valuable framework for future hypothesis-driven research and supports the need for gender-specific diagnostic and intervention strategies in muscle dysmorphia.
Interhemispheric EEG Coherence as a Candidate Biomarker in Gambling Disorder: Evidence of Frontal Hyperconnectivity and Posterior Disconnectivity
(Frontiers Media SA, 2025) Yilmazer, Eda; Cinaroglu, Metin; Ulker, Selami Varol; Tarlaci, Sultan
Background Gambling Disorder (GD) is a behavioral addiction marked by impaired decision-making and poor impulse control. We investigated whether resting-state interhemispheric quantitative EEG (qEEG) coherence-a measure of functional connectivity between homologous cortical regions-could serve as a biomarker of GD.Methods Twenty-nine male patients with GD and 45 healthy male controls underwent resting-state qEEG recording. Coherence was computed for homologous electrode pairs across delta, theta, alpha, and beta bands. Group differences were analyzed using independent-samples t-tests; associations with disorder duration were assessed via age-controlled partial correlations.Results Consistent with our hypothesis, GD participants exhibited frontal pole hypercoherence (Fp1-Fp2) across delta, theta, and beta bands, which is likely influenced by prefrontal/orbitofrontal generators. In contrast, GD showed hypocoherence in temporal (T3-T4, T5-T6), central (C3-C4), and parietal (P3-P4) regions across these frequencies. Greater disorder duration was associated with lower beta coherence at F3-F4 and Fp1-Fp2, and higher delta coherence at O1-O2.Conclusions These findings reveal a dual pattern of interhemispheric connectivity disruption in GD-hypercoherence at frontal pole sites and hypocoherence in sensorimotor and attentional posterior networks-supporting theoretical models of addiction neurocircuitry. Resting-state qEEG coherence holds promise as a clinically relevant biomarker for GD and may inform the development of neuromodulatory interventions aimed at network rebalancing.
Psychological Correlates of Performance-Enhancing Drug Use: Emotional, Cognitive, and Social Functioning in Long-Term and Short-Term Users
(Frontiers Media SA, 2025) Cinaroglu, Metin; Yilmazer, Eda
Introduction Performance-enhancing drug (PED) use-particularly anabolic-androgenic steroids (AAS)-has expanded from competitive sport into mainstream fitness settings. Although PED use is associated with emotional, cognitive, and social difficulties, less is known about how duration of use or psychosocial factors shape these outcomes. Understanding these dynamics is essential for identifying individuals at greater risk for psychological impairment.Methods A total of 285 adult gym-goers (87 long-term users, 95 short-term users, 103 non-users) completed validated measures of depression (BDI-II), anxiety (BAI), muscle dysmorphia (MDDI), self-efficacy (GSE), social support (MSPSS), and social functioning (SASS), along with the Stroop test assessing executive function. Group comparisons, multiple regressions, and PROCESS-based mediation and moderation analyses were conducted, controlling for demographic covariates.Results Long-term PED users reported significantly higher depression, anxiety, and muscle dysmorphia than short-term users and non-users, and showed poorer Stroop interference performance. Mediation analysis revealed that depression and anxiety partially explained the link between PED use and poorer social functioning. Moderation results indicated that stronger self-efficacy and higher perceived social support buffered depressive and anxious symptoms among users.Discussion Chronic PED use is associated with heightened emotional distress and reduced executive functioning, which in turn contribute to impaired social functioning. However, psychosocial resources such as self-efficacy and social support may mitigate these adverse effects. These findings underscore the need for routine psychological assessment and the development of supportive, prevention-oriented interventions for individuals engaged in PED use.
Psychological Distress, Resilience, and Well-Being Among Survivors of the 2023 Kahramanmaraş Earthquakes: A Multi-Site Cross-Sectional Study
(Frontiers Media SA, 2025) Yilmazer, Eda
Background The 2023 Kahramanmara & scedil; earthquakes were among the most devastating disasters in modern T & uuml;rkiye, with severe consequences for survivors' mental health. While post-disaster psychopathology has been widely studied, less is known about positive psychological outcomes such as resilience and well-being in this context.Objective This study examined levels of depression, anxiety, post-traumatic stress symptoms, well-being, and resilience among earthquake survivors, explored group differences, and identified predictors of key psychological outcomes.Methods A cross-sectional survey was conducted with 642 adult survivors across 11 heavily affected cities, nearly 2 years after the earthquakes. Data were collected between September 2024 and January 2025, corresponding to 19-22 months after the earthquakes. Participants completed validated self-report measures: BDI-II, BAI, PCL-5, WEMWBS, and CD-RISC. Analyses included group comparisons, correlations, hierarchical regressions predicting well-being and resilience, and logistic regression predicting probable PTSD (PCL-5 >= 47).Results Survivors reported moderate depression (M = 22.1), mild-moderate anxiety (M = 19.4), and near-threshold PTSD symptoms (M = 40.0). Overall, 31.0% of participants exceeded the PCL-5 cut-off for probable PTSD (95% CI: 27.4-34.8%). Well-being (M = 35.6) and resilience (M = 56.0) were below normative values. Women reported higher depression than men, while trauma-exposed participants had significantly worse outcomes across all measures. Bivariate correlations showed strong associations between distress, reduced well-being, and diminished resilience. Hierarchical regressions indicated that depression and PTSD symptoms were the primary predictors of both lower well-being (R2 = 0.45) and resilience (R2 = 0.32). Logistic regression revealed that female gender (OR = 1.80, p = 0.024) and depression severity (OR = 1.10, p = 0.001) significantly increased the likelihood of probable PTSD.Conclusion Nearly 2 years after the earthquakes, survivors experienced substantial psychological distress alongside reduced well-being and resilience. Clinical symptoms, particularly depression and PTSD, more strongly associated with outcomes than sociodemographic or exposure variables. These findings highlight the need for interventions that both alleviate trauma-related psychopathology and strengthen resilience and well-being as part of long-term disaster recovery.
Psychological Impact of the 2023 Kahramanmaraş Earthquakes: A Systematic Review and Meta-Analysis of PTSD, Depression, and Anxiety Among Turkish Adults
(Frontiers Media SA, 2025) Cinaroglu, Metin; Yilmazer, Eda; Ahlatcioglu, Esra Noyan; Ulker, Selami Varol; Sayar, Gokben Hizli
Background The twin earthquakes that struck Kahramanmara & scedil;, T & uuml;rkiye, on February 6, 2023, caused widespread devastation and loss of life. Beyond the physical destruction, such large-scale disasters often result in significant psychological trauma. This study systematically reviewed and meta-analyzed the prevalence and severity of probable post-traumatic stress disorder (PTSD), depression, and anxiety among adult Turkish survivors during the first 18 months post-disaster. Methods Following PRISMA 2020 guidelines, a systematic search of Web of Science, PubMed, and Scopus was conducted for peer-reviewed studies published between February 6, 2023, and May 30, 2025. Eligible studies included quantitative assessments of PTSD, depression, or anxiety using validated Turkish-language scales, with general adult population samples (N >= 370). Eight studies (N = 5,965) met inclusion criteria. A random-effects meta-analysis was conducted for studies reporting prevalence of probable PTSD, while depression and anxiety outcomes were synthesized descriptively due to limited and heterogeneous data. Risk factors for psychological morbidity were also extracted and analyzed. This review was registered with PROSPERO (CRD42025644127). Results The pooled prevalence of probable PTSD was 41% (95% CI: 32-52%). Reported PTSD rates ranged from 29 to 54%, and symptom severity remained high throughout the first year. Depression and anxiety were also widespread, with up to 40% screening positive for depression and 40-50% reporting moderate-to-severe anxiety symptoms. Comorbidity between PTSD, depression, and anxiety was common. Significant risk factors included female gender, bereavement, home destruction, displacement, job loss, and low social support. Resilience was protective in some studies, though findings were inconsistent. Conclusion Eighteen months after the 2023 Kahramanmara & scedil; earthquakes, Turkish adult survivors continued to experience high levels of probable PTSD, depression, and anxiety. These findings highlight a prolonged mental health crisis and underscore the urgent need for sustained, targeted psychosocial interventions. Integrating mental health support into disaster preparedness and long-term recovery efforts is essential for mitigating psychiatric morbidity in future disasters.Systematic review registration https://www.crd.york.ac.uk/PROSPERO/view/CRD42025644127.
Resting-State EEG Power and Machine-Learning Classification in Adult Males with Gambling Disorder
(Frontiers Media SA, 2026) Cinaroglu, Metin; Yilmazer, Eda; Ulker, Selami Varol; Tarlaci, Sultan
Background: Gambling disorder (GD) is a behavioral addiction sharing neurobiological features with substance use disorders, yet objective biomarkers remain limited. This study examined resting-state EEG power and applied machine learning to identify potential electrophysiological markers of GD. Methods: Resting eyes-closed Electroencephalography (EEG) was recorded from 47 individuals with GD and 32 healthy controls. Absolute and relative power across delta (1-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), and beta (13-30 Hz) bands were quantified over eight cortical regions. Group differences and correlations with the South Oaks Gambling Screen (SOGS) were analyzed. Multiple comparisons were controlled using the Benjamini-Hochberg False Discovery Rate (FDR) correction. A Linear Discriminant Analysis (LDA) classifier was trained to differentiate GD from controls based on EEG features. Results: Group differences in EEG power were subtle, with GD showing significantly higher delta power in the left temporal region (p = 0.032, d = 0.43). Within the GD group, greater gambling severity was associated with higher absolute beta power across frontal, parietal, temporal, and occipital regions (r approximate to 0.40-0.50, p < 0.01), and these associations remained significant after FDR correction (pFDR < 0.05). The LDA model using absolute power achieved 73.7% classification accuracy (AUC = 0.74), whereas relative power yielded near-chance accuracy (57.9%). Conclusions: GD is characterized by subtle but meaningful EEG alterations, particularly increased beta activity linked to gambling severity. Multivariate EEG patterns can distinguish GD from controls, supporting the potential of resting-state EEG as a biomarker for clinical assessment and severity monitoring in behavioral addiction.
Unique Challenges in the Turkish Workforce: Examining the Impact of Job Demands and Resources on Work-Related Outcomes of Blue- and White-Collar Workers
(Frontiers Media SA, 2025) Ilhan, Umit Deniz; Guler, Burcu Kumbul; Turgut, Dilara; Duran, Cem
Introduction An increasing body of research has explored the impact of job demands and resources on employee wellbeing and performance; however, empirical evidence remains limited regarding how these factors operate in non-Western contexts. Addressing this gap, the present study examines blue-collar (70.7%) and white-collar (29.3%) workers in T & uuml;rkiye, investigating the effects of job demands (quantitative, cognitive, emotional) and job resources (leader support, co-worker support, trust) on emotional exhaustion, job satisfaction, organizational commitment, and intention to leave.Method A total of 563 employees from three large production companies in T & uuml;rkiye voluntarily participated in this study. Data were collected using the Turkish version of the Copenhagen Psychosocial Questionnaire (COPSOQ-III) for all constructs, except for intention to leave, which was assessed using the Michigan Organizational Assessment Questionnaire (MOAQ). The proposed relationships were analyzed through multi-group structural equation modeling (MG-SEM).Results Job demands significantly increased emotional exhaustion in both blue- and white-collar workers. However, while emotional exhaustion did not diminish organizational commitment among blue-collar workers, job satisfaction emerged as a key determinant in reducing their turnover intentions. In contrast, for white-collar workers, emotional exhaustion weakened organizational commitment, ultimately leading to higher turnover intentions. Moreover, job resources enhanced job satisfaction and indirectly reduced turnover intentions for blue-collar workers, whereas these resources did not significantly predict job satisfaction among white-collar workers.Conclusion These findings underscore the importance of tailoring workplace strategies to different occupational groups in a non-Western setting. Strengthening job resources-particularly trust, leader support, and co-worker support-can enhance job satisfaction and reduce turnover risk among blue-collar workers. Conversely, for white-collar workers, mitigating job demands and managing emotional exhaustion are crucial for sustaining organizational commitment. This study contributes to the cross-cultural understanding of job demands and resources, highlighting their differential impact on blue- and white-collar workers in T & uuml;rkiye.
Volumetric and Cortical Thickness Alterations in Alcohol Dependence: Evidence of Accelerated Brain Aging and Clinical Correlations
(Frontiers Media SA, 2025) Cinaroglu, Metin; Yilmazer, Eda; Ulker, Selami Varol; Tacyildiz, Kerime; Tarlaci, Sultan
Background: Chronic alcohol dependence is associated with structural brain changes that resemble premature aging, particularly in frontal, parietal, and subcortical regions. This study examined brain volume, cortical thickness, and brain-predicted age in individuals with alcohol dependence and assessed associations with clinical symptoms. Methods: Thirty-one alcohol-dependent patients (mean age = 37.8 +/- 7.3 years) and 26 age-matched healthy controls (mean age = 35.0 +/- 8.5 years) underwent high-resolution T1-weighted MRI scanning. Brain structural analyses, including regional volumetry and cortical thickness estimation, were conducted using the validated volBrain platform. The system also provided individualized brain-predicted age estimates via its machine learning-based Brain Structure Ages (BSA) pipeline. Clinical assessments included the Michigan Alcoholism Screening Test (MATT), Penn Alcohol Craving Scale (PENN), Beck Depression and Anxiety Inventories (BDI-II, BAI), and detailed alcohol use history. Results: Alcohol-dependent participants showed significant reductions in total white matter, right frontal lobe, inferior frontal gyrus, bilateral postcentral gyri, and left superior occipital gyrus volumes (p < 0.05), along with widespread cortical thinning. Brain-predicted age was on average 11.5 years greater in patients than in controls (p < 0.001), especially in white matter and basal ganglia structures. Higher MATT scores correlated with reduced right precentral gyrus and left caudate volumes. PENN scores were positively associated with occipital volumes; however, this association weakened after controlling for age. Depression was linked to reduced frontal pole and increased amygdala volume, while anxiety was associated with smaller orbitofrontal and angular gyrus volumes. Conclusions: Alcohol dependence is marked by diffuse brain atrophy and accelerated brain aging. Structural alterations correspond to addiction severity, craving, and mood symptoms, highlighting brain-predicted age as a potential biomarker of cumulative alcohol-related neurodegeneration.

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