کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5722303 1608109 2017 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Research paperLatent variable analysis of positive and negative valence processing focused on symptom and behavioral units of analysis in mood and anxiety disorders
ترجمه فارسی عنوان
تجزیه و تحلیل متغیر وابسته با غلظت مثبت و منفی بر روی واحد علائم و رفتارهای تحلیلی در اختلالات خلقی و اضطراب تمرکز دارد
کلمات کلیدی
معیارهای دامنه تحقیق، پردازش ونوس مثبت، پردازش ونوس منفی، اختلالات خلقی، اختلالات اضطرابی، تجزیه و تحلیل اجزای اصلی،
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی روانپزشکی و بهداشت روانی
چکیده انگلیسی


- Positive and negative valence domain is assessed using two units of analysis (self-report and behavior).
- Positive and negative valence domain load on independent components.
- Behavioral task results highlight the temporal domain of affect processing.
- Process-specific interventions can target positive and negative valence domain dysfunctions.

BackgroundMood and anxiety disorders are highly heterogeneous and their underlying pathology is complex. The Research Domain Criteria (RDoC) approach seeks to establish dimensionally and neuroscience-based descriptions of psychopathology that may inform better classification and treatment approaches. The current investigation sought to determine the latent variables underlying positive and negative valence processing in terms of symptoms and behavioral units of analysis.MethodAs part of an ongoing study, individuals with mood and anxiety problems were recruited largely from primary care clinics at UCLA (n=62) and UCSD (n=58). These participants underwent a comprehensive symptomatic and behavioral assessment. An implicit approach avoidance task and a modified dot probe detection task were used to measure positive and negative valence processing.ResultsPrincipal components analysis with varimax rotation identified four symptom components, three behavioral components for the dot probe task, and two behavioral components for the implicit approach avoidance task. These components yielded two meta-components consisting of: negative valence symptoms, negative approach bias, and high sustained, selective attention; and positive valence symptoms, positive approach bias, and slow selective or sustained attention. The components did not differ between males and females, nor by age or medication status.LimitationsThe limitations are: (1) relatively small sample, (2) exploratory analysis strategy, (3) no test/re-test data, (4) no neural circuit analysis, and (5) limited reliability of behavioral data.ConclusionsThese preliminary data show that positive and negative valence processing domains load on independent dimensions. Taken together, multi-level assessment approaches combined with advanced statistical analyses may help to identify distinct positive and negative valence processes within a clinical population that cut across traditional diagnostic categories.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Affective Disorders - Volume 216, July 2017, Pages 17-29
نویسندگان
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