利用精确方法改进大脑行为预测。

IF 16.7 1区 心理学 Q1 BEHAVIORAL SCIENCES
Hyejin J Lee, Ally Dworetsky, Nathan Labora, Caterina Gratton
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引用次数: 0

摘要

根据大脑特异性预测个体行为特征具有广泛的现实意义,但预测结果却千差万别。这种限制可能是由大脑和行为变量中的信号和噪声共同造成的。在此,我们将进一步阐述这一观点,强调扩展采样 "精确 "研究的潜力。首先,我们讨论了通过最小化测量噪声来提高个体化估计的可靠性的相关性。其次,我们回顾了有针对性的受试者内实验如何与个体化分析或建模框架相结合,从而最大限度地提高信噪比。精确设计所带来的信噪比改善有助于促进预测研究。最后,我们讨论了如何将精准方法与大样本联合研究相结合,以充分利用两者的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using precision approaches to improve brain-behavior prediction.

Predicting individual behavioral traits from brain idiosyncrasies has broad practical implications, yet predictions vary widely. This constraint may be driven by a combination of signal and noise in both brain and behavioral variables. Here, we expand on this idea, highlighting the potential of extended sampling 'precision' studies. First, we discuss their relevance to improving the reliability of individualized estimates by minimizing measurement noise. Second, we review how targeted within-subject experiments, when combined with individualized analysis or modeling frameworks, can maximize signal. These improvements in signal-to-noise facilitated by precision designs can help boost prediction studies. We close by discussing the integration of precision approaches with large-sample consortia studies to leverage the advantages of both.

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来源期刊
Trends in Cognitive Sciences
Trends in Cognitive Sciences 医学-行为科学
CiteScore
27.90
自引率
1.50%
发文量
156
审稿时长
6-12 weeks
期刊介绍: Essential reading for those working directly in the cognitive sciences or in related specialist areas, Trends in Cognitive Sciences provides an instant overview of current thinking for scientists, students and teachers who want to keep up with the latest developments in the cognitive sciences. The journal brings together research in psychology, artificial intelligence, linguistics, philosophy, computer science and neuroscience. Trends in Cognitive Sciences provides a platform for the interaction of these disciplines and the evolution of cognitive science as an independent field of study.
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