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Identification of the Cognitive Interference Effect Related to Stroop Stimulation: Using Dynamic Causal Modeling of Effective Connectivity in Functional Near-Infrared Spectroscopy (fNIRS)

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 inter...

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Autores principales: M., Yousef Pour, S., Masjoodi, M., Fooladi, M., Jalalvandi, R., Vosoughi, B., Vejdani Afkham, H., Khabiri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shiraz University of Medical Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416094/
https://www.ncbi.nlm.nih.gov/pubmed/32802795
http://dx.doi.org/10.31661/jbpe.v0i0.1174
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author M., Yousef Pour
S., Masjoodi
M., Fooladi
M., Jalalvandi
R., Vosoughi
B., Vejdani Afkham
H., Khabiri
author_facet M., Yousef Pour
S., Masjoodi
M., Fooladi
M., Jalalvandi
R., Vosoughi
B., Vejdani Afkham
H., Khabiri
author_sort M., Yousef Pour
collection PubMed
description 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.
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spelling pubmed-74160942020-08-14 Identification of the Cognitive Interference Effect Related to Stroop Stimulation: Using Dynamic Causal Modeling of Effective Connectivity in Functional Near-Infrared Spectroscopy (fNIRS) M., Yousef Pour S., Masjoodi M., Fooladi M., Jalalvandi R., Vosoughi B., Vejdani Afkham H., Khabiri J Biomed Phys Eng Original Article 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. Shiraz University of Medical Sciences 2020-08-01 /pmc/articles/PMC7416094/ /pubmed/32802795 http://dx.doi.org/10.31661/jbpe.v0i0.1174 Text en Copyright: © Journal of Biomedical Physics and Engineering http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 Unported License, ( http://creativecommons.org/licenses/by-nc/4.0/ ) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
M., Yousef Pour
S., Masjoodi
M., Fooladi
M., Jalalvandi
R., Vosoughi
B., Vejdani Afkham
H., Khabiri
Identification of the Cognitive Interference Effect Related to Stroop Stimulation: Using Dynamic Causal Modeling of Effective Connectivity in Functional Near-Infrared Spectroscopy (fNIRS)
title Identification of the Cognitive Interference Effect Related to Stroop Stimulation: Using Dynamic Causal Modeling of Effective Connectivity in Functional Near-Infrared Spectroscopy (fNIRS)
title_full Identification of the Cognitive Interference Effect Related to Stroop Stimulation: Using Dynamic Causal Modeling of Effective Connectivity in Functional Near-Infrared Spectroscopy (fNIRS)
title_fullStr Identification of the Cognitive Interference Effect Related to Stroop Stimulation: Using Dynamic Causal Modeling of Effective Connectivity in Functional Near-Infrared Spectroscopy (fNIRS)
title_full_unstemmed Identification of the Cognitive Interference Effect Related to Stroop Stimulation: Using Dynamic Causal Modeling of Effective Connectivity in Functional Near-Infrared Spectroscopy (fNIRS)
title_short Identification of the Cognitive Interference Effect Related to Stroop Stimulation: Using Dynamic Causal Modeling of Effective Connectivity in Functional Near-Infrared Spectroscopy (fNIRS)
title_sort identification of the cognitive interference effect related to stroop stimulation: using dynamic causal modeling of effective connectivity in functional near-infrared spectroscopy (fnirs)
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416094/
https://www.ncbi.nlm.nih.gov/pubmed/32802795
http://dx.doi.org/10.31661/jbpe.v0i0.1174
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