Relationships Between Brain Intrinsic Connectivity Networks and Measures of Cognition and Emotion: A Study of the Human Connectome Project Data.

Behnaz Jarrahi
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Abstract

Growing evidence suggests that variations in cognitive and emotional behavior are associated with variations in brain function. To achieve a more comprehensive assessment, data-driven techniques, specifically independent component analysis (ICA), can be employed to generate outcome variables that describe unique but complementary aspects of functional connectivity within and between networks. In this study, resting-state fMRI and behavioral data were collected from 50 healthy participants in the Human Connectome Project. The neuropsychological battery evaluated performance in various domains, including episodic memory, fluid intelligence, attention, working memory, executive function, cognitive flexibility, inhibition, and processing speed. Emotional measures were also included to assess emotion recognition and negative affects (sadness, fear, and anger). A multivariate approach was adopted to evaluate the association between cognitive abilities and emotional correlates on spatiotemporal features of intrinsic connectivity networks (ICNs). The results were explored at a false discovery rate-corrected threshold of p < 0.05. There was a significant positive association between within-network connectivity of the left central executive network (CEN) and inhibitory control and attention, and a significant negative association between within-network connectivity of the right CEN and episodic memory. Furthermore, increased within-network connectivity of the default-mode network (DMN) was linked to higher fluid intelligence, while within-network connectivity in the salience network (SN) and dorsal attention network (DAN) was associated with cognitive flexibility. Anger was found to be significantly related to increased functional network connectivity between SN and CEN. Sadness and fear were associated with increased within-network connectivity of the right CEN. Additionally, fear was associated with low-frequency spectral power in SN and DMN. These findings offer new insights into the intricate relation between ICN features and cognitive and emotional functions.

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大脑内在连接网络与认知和情感测量之间的关系:人类连接组计划数据研究》。
越来越多的证据表明,认知和情绪行为的变化与大脑功能的变化有关。为了实现更全面的评估,可以采用数据驱动技术,特别是独立成分分析(ICA),来生成结果变量,描述网络内部和网络之间独特但互补的功能连接。本研究收集了人类连接组项目中 50 名健康参与者的静息态 fMRI 和行为数据。神经心理测试评估了各个领域的表现,包括外显记忆、流体智力、注意力、工作记忆、执行功能、认知灵活性、抑制和处理速度。情绪测量还包括评估情绪识别和负面影响(悲伤、恐惧和愤怒)。研究采用多变量方法来评估认知能力与内在连接网络(ICN)时空特征上的情绪相关性之间的关联。在假发现率校正阈值 p < 0.05 的条件下对结果进行了探讨。左侧中央执行网络(CEN)的网内连通性与抑制控制和注意力之间存在明显的正相关,而右侧中央执行网络(CEN)的网内连通性与外显记忆之间存在明显的负相关。此外,默认模式网络(DMN)网内连通性的增加与较高的流体智力有关,而显著性网络(SN)和背侧注意网络(DAN)的网内连通性与认知灵活性有关。研究还发现,愤怒与SN和CEN之间功能网络连通性的增加有很大关系。悲伤和恐惧与右侧 CEN 网络内连接的增加有关。此外,恐惧还与SN和DMN的低频频谱功率有关。这些发现为了解 ICN 特征与认知和情绪功能之间错综复杂的关系提供了新的视角。
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