کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7315682 | 1475477 | 2014 | 19 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A computational language approach to modeling prose recall in schizophrenia
ترجمه فارسی عنوان
رویکرد زبان محاسباتی به مدل سازی یادآوری پروسی در اسکیزوفرنیا
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کلمات کلیدی
حافظه اپیزودیک، مقیاس حافظه وکسلر، تجزیه و تحلیل متن، تجزیه و تحلیل معنایی بالقوه،
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب رفتاری
چکیده انگلیسی
Many cortical disorders are associated with memory problems. In schizophrenia, verbal memory deficits are a hallmark feature. However, the exact nature of this deficit remains elusive. Modeling aspects of language features used in memory recall have the potential to provide means for measuring these verbal processes. We employ computational language approaches to assess time-varying semantic and sequential properties of prose recall at various retrieval intervals (immediate, 30Â min and 24Â h later) in patients with schizophrenia, unaffected siblings and healthy unrelated control participants. First, we model the recall data to quantify the degradation of performance with increasing retrieval interval and the effect of diagnosis (i.e., group membership) on performance. Next we model the human scoring of recall performance using an n-gram language sequence technique, and then with a semantic feature based on Latent Semantic Analysis. These models show that automated analyses of the recalls can produce scores that accurately mimic human scoring. The final analysis addresses the validity of this approach by ascertaining the ability to predict group membership from models built on the two classes of language features. Taken individually, the semantic feature is most predictive, while a model combining the features improves accuracy of group membership prediction slightly above the semantic feature alone as well as over the human rating approach. We discuss the implications for cognitive neuroscience of such a computational approach in exploring the mechanisms of prose recall.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Cortex - Volume 55, June 2014, Pages 148-166
Journal: Cortex - Volume 55, June 2014, Pages 148-166
نویسندگان
Mark Rosenstein, Catherine Diaz-Asper, Peter W. Foltz, Brita Elvevåg,