28th National Clinical Education Symposium Presentation Abstracts

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OP-44 State Anxiety and Uncertainty Processing: A Hierarchical Gaussian Filter Study in Generalized Anxiety Disorder - Page 125
Furkan Bekdemir, Selçuk Özdin

OP-45 The Effect of Shift Work on Emotion Regulation and Life Satisfaction in Healthcare Workers - Page 126
Esra Vargeloğlu, Zuhal Koç Apaydın, Burak Öksüzoğlu, Dilanur Cinkavuk

OP-46 Emotional, Behavioral and Social Functioning in Children of Parents with Alcohol and Substance Use Disorders: A Case–Control Study - Page 127
Başak Güldür, Başak Bağcı, Aslı Tuğba Esen, Canem Kavurma, Ercan Durmaz

OP-47 Assessing mentalization via self-report measures in borderline personality disorder: how self-mentalizing impacts other-mentalizing - Page 129
Osman Demirci, B. Mert Savrun

OP-48 Personality functioning, mentalization, and symptomatic recovery in accelerated transcranial magnetic stimulation treatment of major depressive disorder: preliminary findings - Page 131
Osman Demirci, Ali Tarık AltunçIstanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Department of Psychiatry, Sarp YoldaşIstanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Department of Psychiatry, Burç Çağrı PoyrazIstanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Department of Psychiatry

OP-49 Digital Ethical Attitudes Among Medical Students: Physicians’ Use of Social Media - Page 133
Osman Mert Özcan, Sahabettin CETIN, Ahmet Furkan Kandemir, Furkan Bolat

20 APRIL 2026, MONDAY
17:00 - 18:15 "OP-43 Cognitive Subtyping in Schizophrenia: An Analysis of Neuropsychological Profiles, Clinical Symptomatology, and the Impact of Illness Duration using the COBRE Dataset "

OP-43 Cognitive Subtyping in Schizophrenia: An Analysis of Neuropsychological Profiles, Clinical Symptomatology, and the Impact of Illness Duration using the COBRE Dataset

Melike Nur Altunç1, Ali Tarık Altunç2, Yusuf Çiçek3, Abdullah Ekrem Okur4, Halil Aziz Velioglu5

1. Bakırköy Prof. Dr. Mazhar Osman Mental Health and Neurological Diseases Training and Research Hospital, Istanbul, Turkey
2. Council of Forensic Medicine, Istanbul, Turkey
3. Istanbul University-Cerrahpasa Cerrahpasa Faculty of Medicine, Psychiatry Department, Istanbul, Turkey
4. Free Computer Engineer, Istanbul, Turkey
5. Feinstein Institutes for Medical Research - Psychiatric Neuro Center, New York, USA; Istanbul Medipol University, Istanbul, Turkey

DOI: 10.5080/61upk.ozt460 Page 123

BACKGROUND AND AIM:Cognitive impairment, a hallmark feature of schizophrenia, is known to exhibit significant heterogeneity among patients. Classification studies often reveal three primary clusters based on deficit severity. This study aimed to categorize patients with schizophrenia using the COBRE dataset, examining the relationship between cognitive clusters, sociodemographic variables, and clinical findings.
METHODS (Ethics Committee Approval must be obtained and the number should be specified.):Data from 68 patients with schizophrenia and 67 healthy controls were analyzed. Cognitive categories were established via K-means clustering based on seven MATRICS domains. Groups were compared using independent samples t-tests and one way ANOVA. Pearson correlation assessed the relationship between clinical parameters and the MATRICS overall composite score. Data processing and statistical analyses were facilitated by Python libraries and the Antigravity software. The COBRE dataset is a publicly accessible repository released under a Creative Commons Attribution–Non Commercial license; written informed consent was obtained from all participants in compliance with the University of New Mexico (UNM) Institutional Review Board (IRB) protocols.
RESULTS:Three distinct cognitive clusters emerged: Relatively Preserved (n=23), Moderately Impaired (n=22), and Severely Impaired (n=19). No statistically significant differences were found between groups regarding age, gender, education, PANSS total scores, illness duration, or antipsychotic medication dosage. However, the Severely Impaired group exhibited significantly higher scores on PANSS "Disorientation" (p=0.021) and "Lack of Judgment and Insight" (p=0.043). While the Severely Impaired group showed a 4.6-point IQ decrease compared to estimated premorbid levels, no significant decline was detected in other groups. A very strong positive correlation was identified between age of onset and overall cognitive performance (r=0.77, p<0.001).
CONCLUSIONS:These findings indicate that cognitive impairment in schizophrenia does not depend on illness chronicity, aligning with existing literature that deficits emerge early and stabilize over time. Additionally, the 'Severely Impaired' cluster appears to follow a unique trajectory defined by an earlier onset of illness, impaired insight, and severe neurocognitive deficits. Keywords: cognitive impairment, k-means clustering, scizophrenia,