کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6822441 1434053 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Brain network characteristics separating individuals at clinical high risk for psychosis into normality or psychosis
ترجمه فارسی عنوان
ویژگی های شبکه مغز افراد را در معرض خطر بالای بالینی روان درمانی به حالت عادی یا روان پریشی قرار می دهد
کلمات کلیدی
افرادی که در معرض خطر بالینی بالینی روانپزشکی قرار دارند، کارایی شبکه، کوپلینگ-عملکردی ساختاری، تجزیه و تحلیل خاص بیماری، عملکرد عصبی شناختی،
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب رفتاری
چکیده انگلیسی
We aimed to separate individuals at clinical high risk for psychosis (CHR) state into subgroups according to neurobiological characteristics using structural and functional network constructs and examine their clinical characteristics. Structural diffusion tensor imaging and resting-state functional magnetic resonance imaging were performed in 61 healthy controls (HC), 57 individuals at CHR and 29 patients with schizophrenia (SZ). The main outcome was a likelihood ratio calculated from measures of structural and functional network efficiencies, coupling strength of structural and functional networks, and a disease-specific data analysis, resulting in the most probable classification of CHR into HC or SZ. The likelihood ratios revealed that 33 individuals at CHR were likely similar to HC (CHR-HC), and the remaining 24 CHR individuals were similar to SZ (CHR-SZ). The CHR subgroups were comparable to each other in demographic characteristics and clinical symptoms. However, the verbal and executive functions of CHR-HC were similar to those of HC, and those of CHR-SZ similar to SZ. Additionally, CHR-SZ was more responsive to treatment than CHR-HC during the follow-up period. By combining structural and functional data, we could detect the vulnerable population and provide an active intervention in the early phase of the CHR state.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Schizophrenia Research - Volume 190, December 2017, Pages 107-114
نویسندگان
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