Momentary lapses of attention in multisensory environment

Su, Wen Cui; Guo, Qiang; Li, You; Zhang, Kun; Zhang, Yanni; Chen, Qi

doi:10.1016/j.cortex.2020.07.014

Cited by 8 publications

(10 citation statements)

References 57 publications

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“…A disturbance in the DMN function related to sleep quality could explain the poor BLAST performances, which involve the functional balance between the Dorsal Attention Network (DAN) and the DMN (Corbetta and Shulman, 2002 ; Petton et al, 2019 ). This suggests that acute sleep disturbances might be able to disrupt this equilibrium, promoting MLA, a few seconds during which cognitive resources are allocated involuntarily to task-unrelated processes (Weissman et al, 2006 ; Petton et al, 2019 ; Su et al, 2020 ). Leading to high variability in reaction time and response accuracy (Thieux et al, 2019 ), MLA could have a deleterious impact on driving ability (Su et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

“…This suggests that acute sleep disturbances might be able to disrupt this equilibrium, promoting MLA, a few seconds during which cognitive resources are allocated involuntarily to task-unrelated processes (Weissman et al, 2006 ; Petton et al, 2019 ; Su et al, 2020 ). Leading to high variability in reaction time and response accuracy (Thieux et al, 2019 ), MLA could have a deleterious impact on driving ability (Su et al, 2020 ). While some sleep characteristics appeared to be associated with both sleepiness and BLAST scores, subjective sleepiness did not appear to be a good predictor of attentional performance as assessed by BLAST-stability and BLAST-intensity.…”

Section: Discussionmentioning

confidence: 99%

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Interest of the BLAST paradigm and salivary markers for the evaluation of sleepiness in drivers

et al. 2022

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ObjectivesSleepiness is associated with decreased cognitive abilities and remains one of the main causes of fatal road accidents. The tools currently available to assess sleepiness, such as questionnaires, are subject to intra- and inter-individual variability, while multiple sleep latency tests are only feasible in few sleep laboratories. The main objective of this study was to explore new potential markers (neurocognitive, biological) to objectively assess sleepiness in drivers.MethodsA total of 186 drivers (median age 44 years, range 20–74 years, 73% men, 14% obese) were included during a break at a highway service area, in the morning, while on the road for vacation. Questionnaires on sleepiness and sleep characteristics (habitual and on the night before travel), the Bron-Lyon Attention Stability Test (BLAST), and two salivary samples (α-amylase and oxalate) were collected. Associations between measures of sleepiness [Epworth Sleepiness Scale (ESS), and Stanford Sleepiness Scale (SSS)], sleep characteristics, neurocognitive, and biological markers were tested using regression models adjusted for confounding factors.ResultsThe night before travel, 83% of the drivers reduced their sleep time and 30% slept 5 h or less. The higher the number of miles to be traveled, the higher the decrease, and the shorter the sleep time. The night before travel, 18 and 24% of the drivers complained of poor sleep quality and difficulty falling asleep. The sleep characteristics on the night before travel were associated with the habitual sleep characteristics. At the time of the test, 47% of the drivers scored pathologically on the SSS. Poor sleep quality and difficulty falling asleep the night before travel were associated with increased sleepiness as assessed by the SSS and decreased attentional ability as assessed by the BLAST. No association between salivary markers and acute sleepiness was observed.ConclusionsThe sleep characteristics of the night before travel were associated with sleepiness and attentional performance. The SSS and the BLAST could be used by individual drivers in a self-evaluation context. Biological markers showed a high variability and limited association with sleep parameters across subjects, emphasizing the need for within-subject designs to assess their usefulness.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Interest of the BLAST paradigm and salivary markers for the evaluation of sleepiness in drivers

et al. 2022

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“…In both humans and rats, a small proportion of incorrect choices occur even in easy trials, known as lapse. The rate of lapse seems to be independent of the strength of sensory evidence and mostly reflect lack of attention to stimuli ( Wichmann and Hill, 2001 ; Su et al, 2020 ). However, a recent study suggested that lapse in rats better explain an exploratory behavior rather than delivering unattended responses ( Pisupati et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Temporal order judgment of multisensory stimuli in rat and human

Mafi

Tang

Afarinesh

et al. 2023

Front. Behav. Neurosci.

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We do not fully understand the resolution at which temporal information is processed by different species. Here we employed a temporal order judgment (TOJ) task in rats and humans to test the temporal precision with which these species can detect the order of presentation of simple stimuli across two modalities of vision and audition. Both species reported the order of audiovisual stimuli when they were presented from a central location at a range of stimulus onset asynchronies (SOA)s. While both species could reliably distinguish the temporal order of stimuli based on their sensory content (i.e., the modality label), rats outperformed humans at short SOAs (less than 100 ms) whereas humans outperformed rats at long SOAs (greater than 100 ms). Moreover, rats produced faster responses compared to humans. The reaction time data further revealed key differences in decision process across the two species: at longer SOAs, reaction times increased in rats but decreased in humans. Finally, drift-diffusion modeling allowed us to isolate the contribution of various parameters including evidence accumulation rates, lapse and bias to the sensory decision. Consistent with the psychophysical findings, the model revealed higher temporal sensitivity and a higher lapse rate in rats compared to humans. These findings suggest that these species applied different strategies for making perceptual decisions in the context of a multimodal TOJ task.

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“…To investigate the behavioral mechanisms that show how musical training influence the direction and size of Colavita effect, we need to be able to measure both visual and auditory dominance effect in the same paradigm. Therefore, the present study adopted a modified Colavita paradigm (Fang et al, 2020; Huang et al, 2015; Su et al, 2020) to investigate whether musical training influences the visual dominance effect in audiovisual integration. The modified Colavita paradigm focuses on the reaction times (RTs) to visual and auditory components in bimodal trials (Egeth & Sager, 1977), in addition to the proportion of visual versus auditory dominance in bimodal trials (Fang et al, 2020; Huang et al, 2015; Su et al, 2020).…”

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confidence: 99%

“…Therefore, the present study adopted a modified Colavita paradigm (Fang et al, 2020; Huang et al, 2015; Su et al, 2020) to investigate whether musical training influences the visual dominance effect in audiovisual integration. The modified Colavita paradigm focuses on the reaction times (RTs) to visual and auditory components in bimodal trials (Egeth & Sager, 1977), in addition to the proportion of visual versus auditory dominance in bimodal trials (Fang et al, 2020; Huang et al, 2015; Su et al, 2020). In the present study, when the participants were explicitly informed of the existence of bimodal trials, the mean RTs to the visual targets were significantly faster than those to the simultaneously presented auditory targets, which confirmed the Colavita effect on the reaction time level (Egeth & Sager, 1977).…”

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confidence: 99%

Musical training reduces the Colavita visual effect

Wang

Tang²,

Wang

et al. 2022

Psychology of Music

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Although it has been documented that musical training enhances multisensory integration, there is not yet a consensus as to how musical training influences the visual dominance effect in sensory dominance. The present study adopted the Colavita visual dominance paradigm, presenting auditory stimuli concurrent with visual stimuli, to investigate the visual dominance effect between music majors and nonmusic majors and compared the reaction time and response proportion of the two kinds of participants in the bimodal trials. The results showed that the proportion of simultaneous responses in bimodal trials of music majors is higher than that of nonmusic majors; the nonmusic majors show a greater difference between the proportion of “Visual-Auditory” trials and “Auditory-Visual” trials compared with the music majors; the ΔRT of the two responses of the nonsimultaneous bimodal trials of nonmusic majors is longer than that of music majors. The results indicated that musically trained individuals have an enhanced ability to bind visual and auditory information and show a lesser Colavita effect, that is, a reduced visual dominance effect, than their nonmusic major peers. We conclude that musical training extends beyond the field of vision or auditory domain, improves audiovisual integration, and reduces the visual dominance effect.

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Momentary lapses of attention in multisensory environment

Cited by 8 publications

References 57 publications

Interest of the BLAST paradigm and salivary markers for the evaluation of sleepiness in drivers

Interest of the BLAST paradigm and salivary markers for the evaluation of sleepiness in drivers

Temporal order judgment of multisensory stimuli in rat and human

Musical training reduces the Colavita visual effect

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