Minimal Variation in Functional Connectivity in Relation to Daily Affect.

IF 2.7 3区 医学 Q3 NEUROSCIENCES eNeuro Pub Date : 2024-12-26 Print Date: 2024-12-01 DOI:10.1523/ENEURO.0209-24.2024
Kate J Godfrey, Shefali Rai, Kirk Graff, Shelly Yin, Daria Merrikh, Ryann Tansey, Tamara Vanderwal, Ashley D Harris, Signe Bray
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Abstract

Reported associations between functional connectivity and affective disorder symptoms are minimally reproducible, which can partially be attributed to difficulty capturing highly variable clinical symptoms in cross-sectional study designs. "Dense sampling" protocols, where participants are sampled across multiple sessions, can overcome this limitation by studying associations between functional connectivity and variable clinical states. Here, we characterized effect sizes for the association between functional connectivity and time-varying positive and negative daily affect in a nonclinical cohort. Data were analyzed from 24 adults who attended four research visits, where participants self-reported daily affect using the PANAS-X questionnaire and completed 39 min of functional magnetic resonance imaging across three passive viewing conditions. We modeled positive and negative daily affect in relation to network-level functional connectivity, with hypotheses regarding within-network connectivity of the default mode, salience/cingulo-opercular, frontoparietal, dorsal attention, and visual networks and between-network connectivity of affective subcortical regions (amygdala and nucleus accumbens) with both default mode and salience/cingulo-opercular networks. Effect sizes for associations between affect and network-level functional connectivity were small and nonsignificant across analyses. We additionally report that functional connectivity variance is largely attributable to individual identity with small relative variance (<3%) accounted for by within-subject daily affect variation. These results support previous reports that functional connectivity is dominated by stable subject-specific connectivity patterns, while additionally suggesting relatively minimal influence of day-to-day affect. Researchers planning studies examining functional connectivity in relation to daily affect, or other varying stable states, should therefore anticipate small effect sizes and carefully consider power in study planning.

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与日常情绪相关的功能连接性变化极小。
据报道,功能连通性与情感障碍症状之间的关联可重复性极低,部分原因可能是横断面研究设计难以捕捉高度多变的临床症状。密集采样 "方案是指在多个疗程中对参与者进行采样,它可以通过研究功能连通性与不同临床状态之间的关联来克服这一局限性。在这里,我们描述了非临床队列中功能连通性与随时间变化的积极和消极日常情绪之间关联的效应大小。我们对 24 名参加了四次研究访问的成年人的数据进行了分析,访问者使用 PANAS-X 问卷自我报告了日常情绪,并在三种被动观看条件下完成了 39 分钟的功能磁共振成像。我们将积极和消极的日常情绪与网络水平的功能连通性联系起来进行建模,假设默认模式网络、显著性/脑皮层网络、前顶叶网络、背侧注意网络和视觉网络具有网络内连通性,而情绪皮层下区域(杏仁核和阿坎本斯核)与默认模式网络和显著性/脑皮层网络具有网络间连通性。在不同的分析中,情感与网络级功能连接之间的关联效应大小较小,且不显著。我们还报告说,功能连通性的变异主要归因于个体身份,而受试者内部的日常情感变异所占的相对变异较小(< 3%)。这些结果支持了之前的报告,即功能连通性由稳定的特定受试者连通性模式主导,同时也表明日常情绪的影响相对较小。因此,研究人员在计划研究功能连接性与日常情绪或其他变化的稳定状态的关系时,应预计到较小的效应量,并在研究计划中仔细考虑研究功率。我们采用了一种名为 "密集采样 "的方法,即在多个时段对参与者进行测量,以确定大脑功能连接性和情感在人体内随时间的变化情况。我们对 24 名成年人进行了研究,他们参加了四次研究访问,在访问过程中,他们报告了日常情感(情绪)的感受,并通过核磁共振成像扫描测量了功能连通性。我们发现,功能连通性与个体差异的关系最大,而日常情绪的影响最小。未来应用密集采样来评估可变的临床和非临床状态时,必须仔细考虑研究设计,以防产生微小影响。
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来源期刊
eNeuro
eNeuro Neuroscience-General Neuroscience
CiteScore
5.00
自引率
2.90%
发文量
486
审稿时长
16 weeks
期刊介绍: An open-access journal from the Society for Neuroscience, eNeuro publishes high-quality, broad-based, peer-reviewed research focused solely on the field of neuroscience. eNeuro embodies an emerging scientific vision that offers a new experience for authors and readers, all in support of the Society’s mission to advance understanding of the brain and nervous system.
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