Difference in Laterality of the Dorsal Striatum in Schizoaffective Disorder.

Background: Recent research has demonstrated that the dorsal striatum is directly associated with the integration of cognitive, sensory-motor, and motivational/emotional data. Disruptions in the corticostriatal circuit have been implicated in the pathophysiology of psychosis. The dorsal striatum was...

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Publicado en:Actas Espanolas de Psiquiatria Vol. 52; no. 4; pp. 503 - 512
Autores principales: Kaşıkcı, Halim Ömer, Gül, Özlem, Baykara, Sema, Namlı, Mustafa Nuray, Öner, Turgay, Baykara, Murat
Formato: Artículo
Publicado: Maria Lopez-Ibor 2024
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Acceso en línea:Ver este registro en EBSCOhost
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        atl: Difference in Laterality of the Dorsal Striatum in Schizoaffective Disorder.
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        au:
          Kaşıkcı, Halim Ömer
          Gül, Özlem
          Baykara, Sema
          Namlı, Mustafa Nuray
          Öner, Turgay
          Baykara, Murat
        affil:
          Department of Family Medicine, Erenkoy Psychiatry and Neurology Training and Research Hospital, 34736 Istanbul, Türkiye
          Department of Psychiatry, Bakirkoy Prof Mazhar Osman Training and Research Hospital for Psychiatry, Neurology, and Neurosurgery, 34147 Istanbul, Türkiye
          Department of Psychiatry, Erenkoy Psychiatry and Neurology Training and Research Hospital, 34736 Istanbul, Türkiye
          Department of Psychiatry, Hamidiye Faculty of Medicine, Saglik Bilimleri University, 34668 Istanbul, Türkiye
          Department of Radiology, Haydarpasa Numune Training and Research Hospital, 34668 Istanbul, Türkiye
      su:
        Texture analysis (Image processing)
        Magnetic resonance imaging
        Caudate nucleus
        Computer-assisted image analysis (Medicine)
        Therapeutics
      sug:
        subj:
          Texture analysis (Image processing)
          Magnetic resonance imaging
          Caudate nucleus
          Computer-assisted image analysis (Medicine)
          Therapeutics
      keyword:
        caudate nucleus
        computer-assisted image processing
        magnetic resonance imaging
        putamen
        schizoaffective disorder
      ab: Background: Recent research has demonstrated that the dorsal striatum is directly associated with the integration of cognitive, sensory-motor, and motivational/emotional data. Disruptions in the corticostriatal circuit have been implicated in the pathophysiology of psychosis. The dorsal striatum was reported to show lateralized pathology in psychotic disorders. In this study, we aimed to analyze the laterality of the dorsal striatum with texture analysis of T2-weighted magnetic resonance imaging (MRI) images from schizoaffective disorder (SAD) patients. Methods: Twenty SAD patients, met the inclusion criteria and had available cranial MRI data were assigned as the patient group. Twenty healthy individuals were determined as the control group. Texture analysis values were obtained from striatum region of interests (ROI) generated from T2-weighted MRI images. Data are presented as mean and standard deviation. The suitability of the data for normal distribution was analyzed with the Kolmogorov-Smirnov test. Analysis of variance (ANOVA) test (Post Hoc TUKEY) was employed to compare the group data based on test findings. Results: There was no significant difference between the groups in terms of gender and age. There were differences in the values of texture analysis parameters of both caudate and putamen nuclei in comparison to controls. We identified differences in the left dorsal striatum nuclei in SAD. The differences in the putamen were more and more pronounced than in the caudate. Conclusions: Texture analyses suggest that the left dorsal striatum nuclei may be different in SAD patients. Further studies are needed to determine the pathophysiology of SAD and how it may affect disease treatment.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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      custom: Copyright of Actas Espanolas de Psiquiatria is the property of Maria Lopez-Ibor and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use.
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