M Yousef Pour, S Masjoodi, M Fooladi, M Jalalvandi, R Vosoughi, B Vejdani Afkham, H Khabiri
PhD, School of Medicine, Aja university of Medical Science, Tehran, Iran.
MSc, Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences(TUMS), Tehran, Iran.
J Biomed Phys Eng. 2020 Aug 1;10(4):467-478. doi: 10.31661/jbpe.v0i0.1174. eCollection 2020 Aug.
The Stroop test is a well-known model to denote the decline in performance under the incongruent condition, which requires selective attention and control of competitive responses. Functional near-infrared spectroscopy can identify activated brain regions associated with the Stroop interference effect.
This research aims to identify the neural correlates associated with the Stroop tasks within the brain activated regions.
In this cross sectional study, twelve right-handed healthy controls were investigated by means of a multi-channels fNIRS unit during the execution of the Stroop test. Effective connectivity changes in the prefrontal cortex between Stroop attentional conflict and rest states were calculated using DCM approach to investigate (1) areas known for selective attention and (2) analyze inter-network functional connectivity strength (FCS) by selecting several brain functional networks.
The results indicated that an increased activity was recorded in the LDLPFC during incongruent condition, while under neutral condition, the increase in activity was even more pronounced in those areas. Effect of Stroop interference associated with significant consistent causes an increase in the RDLPFC to DMPFC, LDLPFC to DMPFC and LDLPFC to RPFC effective connectivity strengths.
This study showed the use of DCM algorithm for fNIRS data with respect to fMRI has provided additional information about the directional connectivity and causal interactions in LPFC networks during a conflict processing. Eventually, high temporal resolution fNIRS can be a promising tool for monitoring functional brain activation under the cognitive paradigms in neurological research and psychotherapy applications.
斯特鲁普测试是一种著名的模型，用于表示在不一致条件下表现的下降，这需要选择性注意和对竞争性反应的控制。功能近红外光谱可以识别与斯特鲁普干扰效应相关的激活脑区。
本研究旨在确定大脑激活区域内与斯特鲁普任务相关的神经关联。
在这项横断面研究中，12名右利手健康对照者在执行斯特鲁普测试期间通过多通道功能近红外光谱仪进行了研究。使用动态因果模型（DCM）方法计算斯特鲁普注意力冲突与静息状态之间前额叶皮层的有效连接变化，以研究（1）以选择性注意而闻名的区域，以及（2）通过选择几个脑功能网络来分析网络间功能连接强度（FCS）。
结果表明，在不一致条件下，左下前额叶皮层（LDLPFC）的活动增加，而在中性条件下，这些区域的活动增加更为明显。与显著一致相关的斯特鲁普干扰效应导致从右下前额叶皮层（RDLPFC）到背内侧前额叶皮层（DMPFC）、从LDLPFC到DMPFC以及从LDLPFC到前额叶皮层嘴侧部（RPFC）的有效连接强度增加。
本研究表明，相对于功能磁共振成像（fMRI），将DCM算法用于功能近红外光谱数据提供了关于冲突处理期间左前额叶皮层（LPFC）网络中定向连接和因果相互作用的额外信息。最终，高时间分辨率的功能近红外光谱可能成为神经学研究和心理治疗应用中认知范式下监测脑功能激活的有前途的工具。
