神经影像学
灵活性(工程)
适应性
失眠症
心理学
认知心理学
样本量测定
一致性(知识库)
临床心理学
计算机科学
人工智能
神经科学
精神科
数学
统计
生物
生态学
作者
Giovanna Aquino,Julian Schiel
摘要
Summary Over the last decades, neuroimaging has become a substantial component of insomnia research. While theoretical underpinnings of different studies vary just like methodological choices and the experimental design, it is suggested that major features of insomnia disorder rely on the impaired function, structure, metabolism and connectivity of brain areas involved in sleep generation, emotion regulation, self‐processing/‐awareness and attentional orientation. However, neuroimaging research on insomnia often suffers from small sample sizes, heterogeneous methodology and a lack of replicability. With respect to these issues, the field needs to address the questions: (1a) how sufficiently large sample sizes can be accumulated within a reasonable economic framework; (1b) how effect sizes in insomnia‐related paradigms can be amplified; (2a) how a higher degree of standardisation and transparency in methodology can be provided; and (2b) how an adequate amount of flexibility/complexity in study design can be maintained. On condition that methodological consistency and a certain degree of adaptability are given, pooled data/large cohort analyses can be considered to be one way to answer these questions. Regarding experimental single‐centre trials, it might be helpful to focus on insomnia‐related transdiagnostic concepts. In doing so, expectable effect sizes (in between‐subjects designs) can be increased by: (a) comparing groups that are truly distinct regarding the variables examined in a concept‐specific paradigm; and (b) facilitated, intensified and precise elicitation of a target symptom.
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