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Cited by 371

The DOI matches its Crossref record; 108 of the 108 references it cites were found in a registry or an index.

Psychomotor Vigilance Performance: Neurocognitive Assay Sensitive to Sleep Loss

Dorrian, Jillian, Rogers, Naomi L., Dinges, David F.·2004·Sleep Deprivation

Abstract

This chapter reviews one neu-robehavioral assay that has met these criteria—the psychomotor vigilance task. To quantify the magnitude of such changes, as well as to track the temporal profile in neurobehavioral degradation as sleep loss accumulates, a wide array of neurocognitive assays have been used. The resulting neurocognitive performance measures provide an index of the degree of functional impairment present in an individual, and they have been used to answer both applied and theoretical questions about the nature of neurobehavioral capability in healthy people deprived of sleep. A prefrontal cortex-related function that has received particular study in the scientific literature is working memory. The lapse hypothesis marked a significant, conceptually consolidating advance in theoretical approaches to the effects of sleep deprivation on cognitive performance. The lapse hypothesis explicitly predicted that responses between lapses would be normal, which has not proven to be the case.

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Metadata

Authors
Dorrian, J., Rogers, N. L., & Dinges, D. F.
Venue
Sleep Deprivation
Publisher
CRC Press
Published
2004-11-16
Pages
39-70
OpenAlex
W2955440389
Cited by
371
References
108
FWCI
38.87
Type
book chapter
Language
en
Open access
closed

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CoChat. (2026). Citation check: Psychomotor Vigilance Performance: Neurocognitive Assay Sensitive to Sleep Loss. https://app.cochat.ai/papers/10.3109/9780203998007-4
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Dorrian, J., Rogers, N. L., & Dinges, D. F. (2004). Psychomotor Vigilance Performance: Neurocognitive Assay Sensitive to Sleep Loss. Sleep Deprivation. https://doi.org/10.3109/9780203998007-4

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.