Changes in effective connectivity during the visual-motor integration tasks: a preliminary f-NIRS study.

IF 4.7 2区 心理学 Q1 BEHAVIORAL SCIENCES Behavioral and Brain Functions Pub Date : 2024-03-11 DOI:10.1186/s12993-024-00232-3
Wenchen Wang, Haimei Li, Yufeng Wang, Lu Liu, Qiujin Qian
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Abstract

Background: Visual-motor integration (VMI) is an essential skill in daily life. The present study aimed to use functional near-infrared spectroscopy (fNIRS) technology to explore the effective connectivity (EC) changes among brain regions during VMI activities of varying difficulty levels.

Methods: A total of 17 healthy participants were recruited for the study. Continuous Performance Test (CPT), Behavior Rating Inventory of Executive Function-Adult Version (BRIEF-A), and Beery VMI test were used to evaluate attention performance, executive function, and VMI performance. Granger causality analysis was performed for the VMI task data to obtain the EC matrix for all participants. One-way ANOVA analysis was used to identify VMI load-dependent EC values among different task difficulty levels from brain network and channel perspectives, and partial correlation analysis was used to explore the relationship between VMI load-dependent EC values and behavioral performance.

Results: We found that the EC values of dorsal attention network (DAN) → default mode network (DMN), DAN → ventral attention network (VAN), DAN → frontoparietal network (FPN), and DAN → somatomotor network (SMN) in the complex condition were higher than those in the simple and moderate conditions. Further channel analyses indicated that the EC values of the right superior parietal lobule (SPL) → right superior frontal gyrus (SFG), right middle occipital gyrus (MOG) → left SFG, and right MOG → right postcentral gyrus (PCG) in the complex condition were higher than those in the simple and moderate conditions. Subsequent partial correlation analysis revealed that the EC values from DAN to DMN, VAN, and SMN were positively correlated with executive function and VMI performance. Furthermore, the EC values of right MOG → left SFG and right MOG → right PCG were positively correlated with attention performance.

Conclusions: The DAN is actively involved during the VMI task and thus may play a critical role in VMI processes, in which two key brain regions (right SPL, right MOG) may contribute to the EC changes in response to increasing VMI load. Meanwhile, bilateral SFG and right PCG may also be closely related to the VMI performance.

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视觉-运动整合任务中有效连通性的变化:f-NIRS 初步研究。
背景介绍视觉-运动整合(VMI)是日常生活中的一项基本技能。本研究旨在利用功能性近红外光谱(fNIRS)技术探讨在不同难度的视觉-运动整合活动中大脑区域之间的有效连接(EC)变化:研究共招募了 17 名健康参与者。连续表现测试(CPT)、执行功能行为评定量表-成人版(BRIEF-A)和 Beery VMI 测试用于评估注意力表现、执行功能和 VMI 表现。对 VMI 任务数据进行了格兰杰因果关系分析,以获得所有参与者的 EC 矩阵。通过单因素方差分析,从大脑网络和通道的角度确定了不同任务难度下与 VMI 负荷相关的 EC 值,并通过偏相关分析探讨了与 VMI 负荷相关的 EC 值与行为表现之间的关系:我们发现,复杂条件下背侧注意网络(DAN)→默认模式网络(DMN)、DAN→腹侧注意网络(VAN)、DAN→前顶叶网络(FPN)和DAN→体动网络(SMN)的EC值均高于简单和中等条件下的EC值。进一步的通道分析表明,复杂条件下右侧顶叶上回(SPL)→右侧额叶上回(SFG)、右侧枕中回(MOG)→左侧额叶上回(SFG)和右侧枕中回(MOG)→右侧中央后回(PCG)的EC值均高于简单和中等条件下的EC值。随后的偏相关分析表明,从DAN到DMN、VAN和SMN的EC值与执行功能和VMI表现呈正相关。此外,右MOG→左SFG和右MOG→右PCG的EC值与注意力表现呈正相关:DAN在VMI任务中积极参与,因此可能在VMI过程中发挥关键作用,其中两个关键脑区(右SPL、右MOG)可能有助于EC随着VMI负荷的增加而发生变化。同时,双侧 SFG 和右侧 PCG 也可能与 VMI 表现密切相关。
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来源期刊
Behavioral and Brain Functions
Behavioral and Brain Functions 医学-行为科学
CiteScore
5.90
自引率
0.00%
发文量
11
审稿时长
6-12 weeks
期刊介绍: A well-established journal in the field of behavioral and cognitive neuroscience, Behavioral and Brain Functions welcomes manuscripts which provide insight into the neurobiological mechanisms underlying behavior and brain function, or dysfunction. The journal gives priority to manuscripts that combine both neurobiology and behavior in a non-clinical manner.
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