Researcher:
Türkakın, Esin

Profile Picture
ORCID

Job Title

Master Student

First Name

Esin

Last Name

Türkakın

Name

Name Variants

Türkakın, Esin

Email Address

Birth Date

Filters

2017 - 20204

Advanced Search

Filter by

Settings

Researcher Of Publications: search.filters.isAuthorOfPublication.14365a9e-c478-4a75-aece-e65b41e2ece1

Search Results

Now showing 1 - 4 of 4
  • Placeholder
    PublicationMetadata only
    Face emotion recognition differences with respect to frustration in disruptive mood dysregulation disorder (DMDD) and attention-deficit/hyperactivity disorder (ADHD)
    (Elsevier Science Inc, 2017) N/A; N/A; N/A; N/A; N/A; Department of Psychology; Taşkıran, Ali Sarper; Türkakın, Esin; Mutluer, Tuba; Necef, Işıl; Balcı, Fuat; Other; Master Student; Researcher; Faculty Member; Doctor; Faculty Member; Department of Psychology; School of Medicine; Graduate School of Social Sciences and Humanities; N/A; School of Medicine; School of Medicine; College of Social Sciences and Humanities; Koç University Hospital; 195168; N/A; N/A; 305311; N/A; 51269
    Objectives: We examined the effect of frustration in emotion recognition across children with ADHD and disruptive mood dysregulation disorder (DMDD) and healthy control (HC) subjects. Methods: Sample group consisted of 43 participants (14 DMDD + ADHD, 14 ADHD, 15 HC subjects, mean = 9.51; SD = 2.10), who completed a novel emotion recognition task with a frustration component that we developed using happy, angry, and neutral faces from the FACES database of Max Planck Institute for Human Development. The task was a two-alternative forced choice paradigm in which participants were asked to identify if a face was happy versus neutral or if a face was angry versus neutral. Frustration, in some blocks, was elicited by providing conflicting feedback and holding back deserved points after some correct answers. Results: In the frustration blocks of the emotion recognition task, there were statistically significant main effects of emotion on accuracy [ F (1,39) = 18.886, P < 0.001, η 2 = 0.326] and the type of feedback in previous trial on the response time [ F (1,39) = 11.019, P < 0.002, η 2 = 0.220], as well as a between-subjects effect of diagnosis on accuracy [ F (2,39) = 6.384, P = 0.004, η 2 = 0.247]. Post hoc analyses revealed that participants were more accurate recognizing happy faces as opposed to angry faces ( P < 0.001), slower after frustrating trials ( P = 0.002), and that participants with DMDD were less accurate than control subjects ( P = 0.017) and participants with ADHD ( P = 0.007). Linear integrated speed-accuracy scores (LISAS), interpreted as reaction time adjusted by error rate, showed a main effect of emotion [ F (1,39) = 12.389, P = 0.001, η 2 = 0.241] and feedback type in previous trial [ F (1,39) = 6.350, P = 0.016, η 2 = 0.140], but there was no between-subjects effect of diagnosis group on LISAS. The post hoc analyses revealed that the reaction time adjusted for error rates when recognizing happy faces were found to be faster as opposed to angry faces ( P = 0.001) and slower in postfrustration trials ( P = 0.016). Conclusions: Children with DMDD are less accurate overall compared with healthy control subjects and children with ADHD in the novel task that involves emotion recognition. Their impairment becomes more pronounced after frustrating trials, which emerge as a distinctive feature between participants with pure ADHD and those with ADHD/DMDD comorbidity.
  • Placeholder
    PublicationMetadata only
    Aging impairs perceptual decision-making in mice: integrating computational and neurobiological approaches
    (Springer, 2020) Arkan, Sertan; Karson, Ayşe; N/A; N/A; N/A; Department of Psychology; Gür, Ezgi; Duyan, Yalçın Akın; Türkakın, Esin; Balcı, Fuat; PhD Student; PhD Student; Master Student; Faculty Member; Department of Psychology; Graduate School of Social Sciences and Humanities; Graduate School of Social Sciences and Humanities; Graduate School of Social Sciences and Humanities; College of Social Sciences and Humanities; N/A; N/A; N/A; 1269
    Decision-making is one of the cognitive domains which has been under-investigated in animal models of cognitive aging along with its neurobiological correlates. This study investigated the latent variables of the decision process using the hierarchical drift-diffusion model (HDDM). Neurobiological correlates of these processes were examined via immunohistochemistry. Young (n = 11, 4 months old), adult (n = 10, 10 months old), and old (n = 10, 18 months old) mice were tested in a perceptual decision-making task (i.e. two-alternative forced-choice; 2AFC). Observed data showed that there was an age-dependent decrease in the accuracy rate of old mice while response times were comparable between age groups. HDDM results revealed that age-dependent accuracy difference was a result of a decrease in the quality of evidence integration during decision-making. Significant positive correlations observed between evidence integration rate and the number of tyrosine hydroxylase positive (TH+) neurons in the ventral tegmental area (VTA) and axon terminals in dorsomedial striatum (DMS) suggest that decrease in the quality of evidence integration in aging is related to decreased function of mesocortical and nigrostriatal dopamine.
  • Thumbnail Image
    PublicationOpen Access
    Differential bilateral primary motor cortex tDCS fails to modulate choice bias and readiness in perceptual decision making
    (Frontiers, 2018) Çakmak, Yusuf O.; Department of Psychology; Türkakın, Esin; Akbıyık, Seda; Akyol, Bihter; Gürdere, Ceren; Balcı, Fuat; Teaching Faculty; PhD Student; Faculty Member; Department of Psychology; Koç University Research Center for Translational Medicine (KUTTAM) / Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi (KUTTAM); College of Social Sciences and Humanities; Graduate School of Social Sciences and Humanities; N/A; N/A; N/A; N/A; 51269
    One of the critical factors that guide choice behavior is the prior bias of the decisionmaker with respect to different options, namely, the relative readiness by which the decision-maker opts for a specific choice. Although previous neuroimaging work has shown decision bias related activity in the orbitofrontal cortex, intraparietal sulcus (IPS) and dorsolateral prefrontal cortex, in a recent work by Javadi et al. (2015), primary motor cortex was also implicated. By applying transcranial direct current stimulation (tDCS), they have revealed a causal role of the primary motor cortex excitability in the induction of response time (RT) differences and decision bias in the form of choice probability. The current study aimed to replicate these recent findings with an experimental design that contained a sham group to increase experimental control and an additional testing phase to investigate the possible after-effects of tDCS. The conventional decision outputs such as choice proportion and RT were analyzed along with the theorydriven estimates of choice bias and non-decision related components of RTs (e. g., motor implementation speed of choices made). None of the statistical comparisons favored the alternative hypotheses over the null hypotheses. Consequently, previous findings regarding the effect of primary motor cortex excitability on choice bias and response times could not be replicated with a more controlled experimental design that is recommended for tDCS studies (Horvath et al., 2015). This empirical discrepancy between the two studies adds to the evidence demonstrating inconsistent effects of tDCS in establishing causal relationships between cortical excitability and motor behavior.
  • Thumbnail Image
    PublicationOpen Access
    Disrupted latent decision processes in medication-free pediatric OCD patients
    (Elsevier, 2017) Bulut, Gresa Carkaxhiu; Gökçe, Sebla; Özbaş, Duru; Dursun, Onur Burak; Yazgan, Yankı; Department of Psychology; Balcı, Fuat; Türkakın, Esin; Erhan, Ceyla; Faculty Member; Department of Psychology; Graduate School of Social Sciences and Humanities; 51269; N/A; N/A
    Background: Decision-making in Obsessive Compulsive Disorder has typically been investigated in the adult population. Computational approaches have recently started to get integrated into these studies. However, decision-making research in pediatric OCD populations is scarce. Methods: We investigated latent decision processes in 21 medication-free pediatric OCD patients and 23 healthy control participants. We hypothesized that OCD patients would be more cautious and less efficient in evidence accumulation than controls in a two alternative forced choice (2AFC) task. Results: Pediatric OCD patients were less efficient than controls in accumulating perceptual evidence and showed a tendency to be more cautious. In comparison to post-correct decisions, OCD patients increased decision thresholds after erroneous decisions, whereas healthy controls decreased decision thresholds. These changes were coupled with weaker evidence accumulation after errors in both groups. Limitations: The small sample size limited the power of the study. Conclusions: Our results demonstrate poorer decision-making performance in pediatric OCD patients at the level of latent processes, specifically in terms of evidence accumulation.