تأثیر بازتوانی شناختی بر مبنای هوش مصنوعی بر عملکرد لوب آهیانه‌ای بیماران مرد اسکیزوفرنیا
محورهای موضوعی : بالینیالهام طباطبایی کاشانی 1 , الهام فروزنده 2 , ایوب باقری 3
1 - دکتری روانشناسی عمومی، دانشکده روان شناسی و علوم تربیتی، دانشگاه آزاد اسلامی واحد اصفهان (خوراسگان)، اصفهان، ایران
2 - دانشیار روانشناسی دانشکده روان شناسی، واحد نایین، دانشگاه آزاد اسلامی، نایین، ایران
3 - استادیار آمار کاربردی گروه روش و آمار، دانشگاه اوترخت، اوترخت، هلند
کلید واژه: بازتوانی شناختی, هوش مصنوعی, لوب آهیانه‌ای, بیماران مرد اسکیزوفرنیا,
چکیده مقاله :
این پژوهش با هدف تعیین تأثیر بازتوانی شناختی بر مبنای هوش مصنوعی بر عملکرد لوب آهیانه‌ای بیماران اسکیزوفرنی انجام گرفت. روش پژوهش نیمه‌آزمایشی با طرح پیش‌آزمون- پس‌آزمون با گروه کنترل بود. جامعۀ آماری پژوهش شامل بیماران اسکیزوفرنیای مرد بستری در بیمارستان های اصفهان بودند که30 نفر، به روش نمونه‌گیری هدفمند انتخاب و به تصادف در دو گروه آزمایش و کنترل قرار گرفتند. هر دو گروه در مرحلۀ پیش‌آزمون و پس‌آزمون، با استفاده از آزمون دو نیمه کردن خط نرم‌افزاری مورد بررسی قرار گرفتند. در گروه آزمایش مداخلۀ بازتوانی شناختی طی 10 جلسه (هر هفته دو جلسه) اجرا گردید. برای تجزیه و تحلیل داده‌ها از تحلیل کواریانس استفاده شد و نتایج نشان داد که میانگین انحراف به چپ و انحراف به راست در آزمون خط مربوط به عملکرد لوب آهیانه‌ای در گروه آزمایش در مرحلۀ پس‌آزمون نسبت به گروه کنترل کاهش معناداری نشان داد(05/0>p). براساس نتایج‌این پژوهش، می توان برای افزایش عملکرد لوب آهیانه‌ای بیماران اسکیزوفرنیا، از بازتوانی شناختی استفاده کرد.
The aim of this study was to evaluate the effectiveness of cognitive rehabilitation on parietal lobe functions in patients with schizophrenia: focusing on artificial intelligence. The research method was quasi-experimental pre-test-post-test. The statistical population of the study included all schizophrenia patients admitted to Isfahan hospitals. Thus, after designing software focusing on artificial intelligence At least 30 patients with schizophrenia were selected by purposive sampling method by referring to Farabi and Modares psychiatric hospitals. Were selected and tested with tests related to the evaluation of parietal lobe functions, which were introduced in the next section. Then, according to the cognitive status of each of them, the number of sessions and the time required for the cognitive rehabilitation intervention were determined and performed. The results of multivariate analysis of covariance showed a significant increase in function in the parietal lobe of schizophrenia patients in the experimental group compared to the control group (p≤0.05). According to the research findings, cognitive rehabilitation with a focus on artificial intelligence can be used to increase the parietal lobe functions of patients with schizophrenia.
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