Better together: A systematic review of studies combining magnetic resonance imaging with ecological momentary assessment

被引:0
|
作者
Gadassi-Polack, Reuma [1 ,2 ]
Paganini, Gabriela [1 ]
Winschel, Julia [1 ]
Benisty, Hadas [3 ]
Joormann, Jutta [1 ]
Kober, Hedy [1 ]
Mishne, Gal [4 ]
机构
[1] Yale Univ, Psychiat, New Haven, CT USA
[2] Tel Aviv Yaffo Acad Coll, Sch Behav Sci, Tel Aviv, Israel
[3] Technion Israel Inst Technol, Fac Med, Haifa, Israel
[4] Univ Calif San Diego, Fac Med, San Diego, CA USA
关键词
Magnetic resonance imaging; experience sampling methods; ecological momentary assessment; daily-diaries; computational methods; STATE FUNCTIONAL CONNECTIVITY; ADOLESCENTS NEURAL RESPONSE; REAL-WORLD; POSITIVE AFFECT; RISKY DECISIONS; SELF-CONTROL; DAILY-LIFE; STRESS; REWARD; EXPERIENCE;
D O I
10.1080/17470919.2024.2382771
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Social neuroscientists often use magnetic resonance imaging (MRI) to understand the relationship between social experiences and their neural substrates. Although MRI is a powerful method, it has several limitations in the study of social experiences, first and foremost its low ecological validity. To address this limitation, researchers have conducted multimethod studies combining MRI with Ecological Momentary Assessment (EMA). However, there are no existing recommendations for best practices for conducting and reporting such studies. To address the absence of standards in the field, we conducted a systematic review of papers that combined the methods. A systematic search of peer-reviewed papers resulted in a pool of 11,558 articles. Inclusion criteria were studies in which participants completed (a) Structural or functional MRI and (b) an EMA protocol that included self-report. Seventy-one papers met inclusion criteria. The following review compares these studies based on several key parameters (e.g., sample size) with the aim of determining feasibility and current standards for design and reporting in the field. The review concludes with recommendations for future research. A special focus is given to the ways in which the two methods were combined analytically and suggestions for novel computational methods that could further advance the field of social neuroscience.
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收藏
页数:17
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