ArticleCognitive neuroscience
Spatiotemporal dynamics of selective attention and visual conflict monitoring using a Stroop task.
Article in Cognitive neuroscience. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Magnetoencephalography in human neuroscience research: planning, piloting, implementation and quality assurance.Nature protocols · 2026Review
- Unmasking the noise: aberrant cortical oscillations in visual snow syndrome.The journal of headache and pain · 2026Article
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Authors and funding
7 authors.
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Abstract
Selective attention and conflict monitoring are daily human phenomena, yet the spatial and temporal neurological underpinnings of these processes are not fully understood. Current literature suggests these executive functions occur via diverse and highly interconnected neural networks, including top-down, bottom-up, and conflict-control loops. To investigate the spatiotemporal activity of these processes, we collected neuromagnetic data using magnetoencephalography (MEG) in 28 healthy adults (age 19-36), while they performed a computerized Stroop task based on color naming. We focused on low-frequency oscillations in the context of top-down control and hypothesized that conflict monitoring-related activity would first be observed in the left anterior cingulate cortex, followed by the left dorsolateral prefrontal cortex, and subsequently in the parietal and temporal lobes. Significant activity between 600-1000 ms post-stimulus onset was found for incongruent vs. congruent/neutral contrasts. Interestingly, spatiotemporal analysis did not provide evidence for a top-down pattern of activation, instead revealing a simultaneous pattern of activation in the frontal and temporal lobes. Most notable is the involvement of the left posterior inferior temporal cortex (pITC) and the left temporoparietal junction (TPJ), which have not conventionally been considered active players in attentional control. These results may be largely driven by alpha and beta oscillations from our sample population. Our findings challenge early theoretical models of top-down processing in the context of cognitive control from an attention perspective and also suggest a need to investigate attentional centers in the temporal lobe. Furthermore, the study highlights the valuable temporal data provided by MEG, which has been missing from previous studies.
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