个体内BOLD信号变异性及其对基于任务的认知的影响:系统综述。

IF 5.4 2区 心理学 Q1 NEUROSCIENCES Neuropsychology Review Pub Date : 2023-10-27 DOI:10.1007/s11065-023-09619-x
Stephanie N Steinberg, Tricia Z King
{"title":"个体内BOLD信号变异性及其对基于任务的认知的影响:系统综述。","authors":"Stephanie N Steinberg,&nbsp;Tricia Z King","doi":"10.1007/s11065-023-09619-x","DOIUrl":null,"url":null,"abstract":"<p><p>Within-individual blood oxygen level-dependent (BOLD) signal variability, intrinsic moment-to-moment signal fluctuations within a single individual in specific voxels across a given time course, is a relatively new metric recognized in the neuroimaging literature. Within-individual BOLD signal variability has been postulated to provide information beyond that provided by mean-based analysis. Synthesis of the literature using within-individual BOLD signal variability methodology to examine various cognitive domains is needed to understand how intrinsic signal fluctuations contribute to optimal performance. This systematic review summarizes and integrates this literature to assess task-based cognitive performance in healthy groups and few clinical groups. Included papers were published through October 17, 2022. Searches were conducted on PubMed and APA PsycInfo. Studies eligible for inclusion used within-individual BOLD signal variability methodology to examine BOLD signal fluctuations during task-based functional magnetic resonance imaging (fMRI) and/or examined relationships between task-based BOLD signal variability and out-of-scanner behavioral measure performance, were in English, and were empirical research studies. Data from each of the included 19 studies were extracted and study quality was systematically assessed. Results suggest that variability patterns for different cognitive domains across the lifespan (ages 7-85) may depend on task demands, measures, variability quantification method used, and age. As neuroimaging methods explore individual-level contributions to cognition, within-individual BOLD signal variability may be a meaningful metric that can inform understanding of neurocognitive performance. Further research in understudied domains/populations, and with consistent quantification methods/cognitive measures, will help conceptualize how intrinsic BOLD variability impacts cognitive abilities in healthy and clinical groups.</p>","PeriodicalId":49754,"journal":{"name":"Neuropsychology Review","volume":null,"pages":null},"PeriodicalIF":5.4000,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Within-Individual BOLD Signal Variability and its Implications for Task-Based Cognition: A Systematic Review.\",\"authors\":\"Stephanie N Steinberg,&nbsp;Tricia Z King\",\"doi\":\"10.1007/s11065-023-09619-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Within-individual blood oxygen level-dependent (BOLD) signal variability, intrinsic moment-to-moment signal fluctuations within a single individual in specific voxels across a given time course, is a relatively new metric recognized in the neuroimaging literature. Within-individual BOLD signal variability has been postulated to provide information beyond that provided by mean-based analysis. Synthesis of the literature using within-individual BOLD signal variability methodology to examine various cognitive domains is needed to understand how intrinsic signal fluctuations contribute to optimal performance. This systematic review summarizes and integrates this literature to assess task-based cognitive performance in healthy groups and few clinical groups. Included papers were published through October 17, 2022. Searches were conducted on PubMed and APA PsycInfo. Studies eligible for inclusion used within-individual BOLD signal variability methodology to examine BOLD signal fluctuations during task-based functional magnetic resonance imaging (fMRI) and/or examined relationships between task-based BOLD signal variability and out-of-scanner behavioral measure performance, were in English, and were empirical research studies. Data from each of the included 19 studies were extracted and study quality was systematically assessed. Results suggest that variability patterns for different cognitive domains across the lifespan (ages 7-85) may depend on task demands, measures, variability quantification method used, and age. As neuroimaging methods explore individual-level contributions to cognition, within-individual BOLD signal variability may be a meaningful metric that can inform understanding of neurocognitive performance. Further research in understudied domains/populations, and with consistent quantification methods/cognitive measures, will help conceptualize how intrinsic BOLD variability impacts cognitive abilities in healthy and clinical groups.</p>\",\"PeriodicalId\":49754,\"journal\":{\"name\":\"Neuropsychology Review\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2023-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuropsychology Review\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1007/s11065-023-09619-x\",\"RegionNum\":2,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuropsychology Review","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1007/s11065-023-09619-x","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

在个体血氧水平依赖性(BOLD)信号变异性中,在给定的时间过程中,特定体素中单个个体内固有的瞬间信号波动是神经成像文献中公认的一个相对较新的指标。在个体BOLD内,信号可变性被假设为提供超出基于平均值的分析所提供的信息。需要综合文献,使用个体内BOLD信号变异性方法来检查各种认知领域,以了解内在信号波动如何有助于最佳表现。这篇系统综述总结并整合了这些文献,以评估健康组和少数临床组基于任务的认知表现。收录的论文发表至2022年10月17日。检索在PubMed和APA PsycInfo上进行。有资格纳入个体BOLD信号变异性方法中的研究,用于检查基于任务的功能性磁共振成像(fMRI)期间的BOLD信号波动和/或检查基于任务BOLD信号可变性与扫描仪外行为测量性能之间的关系,这些研究是用英语进行的,并且是实证研究。从纳入的19项研究中提取数据,并对研究质量进行系统评估。结果表明,不同认知领域(7-85岁)在一生中的变异模式可能取决于任务需求、测量、使用的变异量化方法和年龄。随着神经成像方法探索个体水平对认知的贡献,个体内BOLD信号的可变性可能是一个有意义的指标,可以为理解神经认知表现提供信息。在研究不足的领域/人群中进行进一步的研究,并采用一致的量化方法/认知测量,将有助于概念化内在的BOLD变异性如何影响健康和临床群体的认知能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Within-Individual BOLD Signal Variability and its Implications for Task-Based Cognition: A Systematic Review.

Within-individual blood oxygen level-dependent (BOLD) signal variability, intrinsic moment-to-moment signal fluctuations within a single individual in specific voxels across a given time course, is a relatively new metric recognized in the neuroimaging literature. Within-individual BOLD signal variability has been postulated to provide information beyond that provided by mean-based analysis. Synthesis of the literature using within-individual BOLD signal variability methodology to examine various cognitive domains is needed to understand how intrinsic signal fluctuations contribute to optimal performance. This systematic review summarizes and integrates this literature to assess task-based cognitive performance in healthy groups and few clinical groups. Included papers were published through October 17, 2022. Searches were conducted on PubMed and APA PsycInfo. Studies eligible for inclusion used within-individual BOLD signal variability methodology to examine BOLD signal fluctuations during task-based functional magnetic resonance imaging (fMRI) and/or examined relationships between task-based BOLD signal variability and out-of-scanner behavioral measure performance, were in English, and were empirical research studies. Data from each of the included 19 studies were extracted and study quality was systematically assessed. Results suggest that variability patterns for different cognitive domains across the lifespan (ages 7-85) may depend on task demands, measures, variability quantification method used, and age. As neuroimaging methods explore individual-level contributions to cognition, within-individual BOLD signal variability may be a meaningful metric that can inform understanding of neurocognitive performance. Further research in understudied domains/populations, and with consistent quantification methods/cognitive measures, will help conceptualize how intrinsic BOLD variability impacts cognitive abilities in healthy and clinical groups.

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
Neuropsychology Review
Neuropsychology Review 医学-神经科学
CiteScore
11.00
自引率
1.70%
发文量
36
期刊介绍: Neuropsychology Review is a quarterly, refereed publication devoted to integrative review papers on substantive content areas in neuropsychology, with particular focus on populations with endogenous or acquired conditions affecting brain and function and on translational research providing a mechanistic understanding of clinical problems. Publication of new data is not the purview of the journal. Articles are written by international specialists in the field, discussing such complex issues as distinctive functional features of central nervous system disease and injury; challenges in early diagnosis; the impact of genes and environment on function; risk factors for functional impairment; treatment efficacy of neuropsychological rehabilitation; the role of neuroimaging, neuroelectrophysiology, and other neurometric modalities in explicating function; clinical trial design; neuropsychological function and its substrates characteristic of normal development and aging; and neuropsychological dysfunction and its substrates in neurological, psychiatric, and medical conditions. The journal''s broad perspective is supported by an outstanding, multidisciplinary editorial review board guided by the aim to provide students and professionals, clinicians and researchers with scholarly articles that critically and objectively summarize and synthesize the strengths and weaknesses in the literature and propose novel hypotheses, methods of analysis, and links to other fields.
期刊最新文献
Verbal and Spatial Working Memory Capacity in Blind Adults and the Possible Influence of Age at Blindness Onset: A Systematic Review and Meta-analysis. Reliability of Theory of Mind Tasks in Schizophrenia, ASD, and Nonclinical Populations: A Systematic Review and Reliability Generalization Meta-analysis. Not All Stroop-Type Tasks Are Alike: Assessing the Impact of Stimulus Material, Task Design, and Cognitive Demand via Meta-analyses Across Neuroimaging Studies Cognitive Training During Midlife: A Systematic Review and Meta-Analysis. Gradient Organization of Space, Time, and Numbers in the Brain: A Meta-analysis of Neuroimaging Studies.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1