Neural correlates of working memory’s suppression of aversive olfactory distraction effects

Weigard, Alexander; Wilson, Stephen J.; Shapiro, Zvi; Galloway-Long, Hilary; Huang-Pollock, Cynthia L.

doi:10.1007/s11682-020-00419-y

Cited by 3 publications

(2 citation statements)

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“…Several functional connectivity studies of olfaction elucidate the interaction of this sense with the brain’s attention networks. For example, evidence suggests that connectivity between ventrolateral prefrontal cortex (vlPFC) and dorsomedial PFC (dmPFC)/anterior cingulate cortex (ACC) may mitigate the effects of olfactory distractors ( Weigard et al, 2021 ). Such aversive sensory distraction is abated by engaging higher order neural processes that are especially potent under conditions of greater working memory load ( Weigard et al, 2021 ).…”

Section: Resultsmentioning

confidence: 99%

“…For example, evidence suggests that connectivity between ventrolateral prefrontal cortex (vlPFC) and dorsomedial PFC (dmPFC)/anterior cingulate cortex (ACC) may mitigate the effects of olfactory distractors ( Weigard et al, 2021 ). Such aversive sensory distraction is abated by engaging higher order neural processes that are especially potent under conditions of greater working memory load ( Weigard et al, 2021 ). In a different vein, olfaction and attention interact frequently when subjects are exposed to complex odor mixtures with varied qualities or affective components.…”

Section: Resultsmentioning

confidence: 99%

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Functional Connectivity of the Chemosenses: A Review

Farruggia

Pellegrino

Scheinost

2022

Front. Syst. Neurosci.

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Functional connectivity approaches have long been used in cognitive neuroscience to establish pathways of communication between and among brain regions. However, the use of these analyses to better understand how the brain processes chemosensory information remains nascent. In this review, we conduct a literature search of all functional connectivity papers of olfaction, gustation, and chemesthesis, with 103 articles discovered in total. These publications largely use approaches of seed-based functional connectivity and psychophysiological interactions, as well as effective connectivity approaches such as Granger Causality, Dynamic Causal Modeling, and Structural Equation Modeling. Regardless of modality, studies largely focus on elucidating neural correlates of stimulus qualities such as identity, pleasantness, and intensity, with task-based paradigms most frequently implemented. We call for further “model free” or data-driven approaches in predictive modeling to craft brain-behavior relationships that are free from a priori hypotheses and not solely based on potentially irreproducible literature. Moreover, we note a relative dearth of resting-state literature, which could be used to better understand chemosensory networks with less influence from motion artifacts induced via gustatory or olfactory paradigms. Finally, we note a lack of genomics data, which could clarify individual and heritable differences in chemosensory perception.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%