ArticleJournal of biomedical physics & engineering2020
Identification of the Cognitive Interference Effect Related to Stroop Stimulation: Using Dynamic Causal Modeling of Effective Connectivity in Functional Near-Infrared Spectroscopy (fNIRS).
Article in Journal of biomedical physics & engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
- iTBS on RDLPFC improves performance of motor imagery: a brain-computer interface study combining EEG and fNIRS.Journal of neuroengineering and rehabilitation · 2025Trial
- Attentional Control during Visual Modified Flanker Stimuli using fMRI Data.Journal of biomedical physics & engineering · 2026Article
- Isolating perceptual conflict: a theoretical and methodological analysis of the Task-Irrelevant Paradigm.Frontiers in psychology · 2026Review
- The investigation of resting-state functional connectivity in male sprinters and endurance runners brains based on fNIRS.Scientific reports · 2025Article
- Open access dataset integrating EEG and fNIRS during Stroop tasks.Scientific data · 2023Article
- Lateralization difference in functional activity during Stroop tasks: a functional near-infrared spectroscopy and EEG simultaneous study.Frontiers in psychiatry · 2023Article
- A study based on functional near-infrared spectroscopy: Cortical responses to music interventions in patients with myofascial pain syndrome.Frontiers in human neuroscience · 2023Article
- Brain Functional Mechanisms in Attentional Processing Following Modified Conflict Stroop Task.Journal of biomedical physics & engineering · 2020Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe 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.
objectiveThis research aims to identify the neural correlates associated with the Stroop tasks within the brain activated regions. MATERIALS AND
methodsIn 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.
resultsThe 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.
conclusionThis 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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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.