Identification of the Cognitive Interference Effect Related to Stroop Stimulation: Using Dynamic Causal Modeling of Effective Connectivity in Functional Near-Infrared Spectroscopy (fNIRS)
| Autor: | R Vosoughi, B Vejdani Afkham, Sadegh Masjoodi, M Fooladi, H Khabiri, Maziar Jalalvandi, M Yousef Pour |
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| Rok vydání: | 2019 |
| Předmět: |
lcsh:Medical physics. Medical radiology. Nuclear medicine
lcsh:R895-920 Prefrontal Cortex Bioengineering Stimulation 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine 0501 psychology and cognitive sciences Radiology Nuclear Medicine and imaging Attention Prefrontal cortex Causal model Neural correlates of consciousness Connectivity Radiological and Ultrasound Technology Fnirs 05 social sciences Cognition Identification (information) Stroop Test Functional near-infrared spectroscopy Original Article Psychology Neuroscience 030217 neurology & neurosurgery Stroop effect |
| Zdroj: | Journal of Biomedical Physics & Engineering Journal of Biomedical Physics and Engineering, Vol 10, Iss 4, Pp 467-478 (2020) |
| ISSN: | 2251-7200 |
| Popis: | Background: 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.Objective: This research aims to identify the neural correlates associated with the Stroop tasks within the brain activated regions.Materials and Methods: 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. Results: 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.Conclusion: 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. |
| Databáze: | OpenAIRE |
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