激活似然估计神经影像元分析:情感研究的有力工具

IF 2.8 3区 心理学 Q2 PSYCHOLOGY, CLINICAL
Psychology Research and Behavior Management Pub Date : 2024-06-11 eCollection Date: 2024-01-01 DOI:10.2147/PRBM.S453035
Tommaso Costa, Mario Ferraro, Jordi Manuello, Alessia Camasio, Andrea Nani, Lorenzo Mancuso, Franco Cauda, Peter T Fox, Donato Liloia
{"title":"激活似然估计神经影像元分析:情感研究的有力工具","authors":"Tommaso Costa, Mario Ferraro, Jordi Manuello, Alessia Camasio, Andrea Nani, Lorenzo Mancuso, Franco Cauda, Peter T Fox, Donato Liloia","doi":"10.2147/PRBM.S453035","DOIUrl":null,"url":null,"abstract":"<p><p>Over the past two decades, functional magnetic resonance imaging (fMRI) has become the primary tool for exploring neural correlates of emotion. To enhance the reliability of results in understanding the complex nature of emotional experiences, researchers combine findings from multiple fMRI studies using coordinate-based meta-analysis (CBMA). As one of the most widely employed CBMA methods worldwide, activation likelihood estimation (ALE) is of great importance in affective neuroscience and neuropsychology. This comprehensive review provides an introductory guide for implementing the ALE method in emotion research, outlining the experimental steps involved. By presenting a case study about the emotion of disgust, with regard to both its core and social processing, we offer insightful commentary as to how ALE can enable researchers to produce consistent results and, consequently, fruitfully investigate the neural mechanisms underpinning emotions, facilitating further progress in this field.</p>","PeriodicalId":20954,"journal":{"name":"Psychology Research and Behavior Management","volume":null,"pages":null},"PeriodicalIF":2.8000,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11179639/pdf/","citationCount":"0","resultStr":"{\"title\":\"Activation Likelihood Estimation Neuroimaging Meta-Analysis: a Powerful Tool for Emotion Research.\",\"authors\":\"Tommaso Costa, Mario Ferraro, Jordi Manuello, Alessia Camasio, Andrea Nani, Lorenzo Mancuso, Franco Cauda, Peter T Fox, Donato Liloia\",\"doi\":\"10.2147/PRBM.S453035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Over the past two decades, functional magnetic resonance imaging (fMRI) has become the primary tool for exploring neural correlates of emotion. To enhance the reliability of results in understanding the complex nature of emotional experiences, researchers combine findings from multiple fMRI studies using coordinate-based meta-analysis (CBMA). As one of the most widely employed CBMA methods worldwide, activation likelihood estimation (ALE) is of great importance in affective neuroscience and neuropsychology. This comprehensive review provides an introductory guide for implementing the ALE method in emotion research, outlining the experimental steps involved. By presenting a case study about the emotion of disgust, with regard to both its core and social processing, we offer insightful commentary as to how ALE can enable researchers to produce consistent results and, consequently, fruitfully investigate the neural mechanisms underpinning emotions, facilitating further progress in this field.</p>\",\"PeriodicalId\":20954,\"journal\":{\"name\":\"Psychology Research and Behavior Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2024-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11179639/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Psychology Research and Behavior Management\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.2147/PRBM.S453035\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"PSYCHOLOGY, CLINICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psychology Research and Behavior Management","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.2147/PRBM.S453035","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
引用次数: 0

摘要

过去二十年来,功能磁共振成像(fMRI)已成为探索情绪神经相关性的主要工具。为了提高研究结果的可靠性,以便更好地理解情绪体验的复杂本质,研究人员使用基于坐标的荟萃分析(CBMA)将多项 fMRI 研究的结果结合起来。激活似然估计(ALE)是全球最广泛使用的 CBMA 方法之一,在情感神经科学和神经心理学中具有重要意义。本综述为在情感研究中应用 ALE 方法提供了入门指南,概述了相关的实验步骤。通过对厌恶情绪的核心和社会处理进行案例研究,我们就 ALE 如何使研究人员得出一致的结果,从而富有成效地研究情绪的神经机制,促进该领域的进一步发展提供了深刻的评论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Activation Likelihood Estimation Neuroimaging Meta-Analysis: a Powerful Tool for Emotion Research.

Over the past two decades, functional magnetic resonance imaging (fMRI) has become the primary tool for exploring neural correlates of emotion. To enhance the reliability of results in understanding the complex nature of emotional experiences, researchers combine findings from multiple fMRI studies using coordinate-based meta-analysis (CBMA). As one of the most widely employed CBMA methods worldwide, activation likelihood estimation (ALE) is of great importance in affective neuroscience and neuropsychology. This comprehensive review provides an introductory guide for implementing the ALE method in emotion research, outlining the experimental steps involved. By presenting a case study about the emotion of disgust, with regard to both its core and social processing, we offer insightful commentary as to how ALE can enable researchers to produce consistent results and, consequently, fruitfully investigate the neural mechanisms underpinning emotions, facilitating further progress in this field.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.50
自引率
4.70%
发文量
341
审稿时长
16 weeks
期刊介绍: Psychology Research and Behavior Management is an international, peer-reviewed, open access journal focusing on the science of psychology and its application in behavior management to develop improved outcomes in the clinical, educational, sports and business arenas. Specific topics covered in the journal include: -Neuroscience, memory and decision making -Behavior modification and management -Clinical applications -Business and sports performance management -Social and developmental studies -Animal studies The journal welcomes submitted papers covering original research, clinical studies, surveys, reviews and evaluations, guidelines, expert opinion and commentary, case reports and extended reports.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信