Auditory psychomotor vigilance testing in older and young adults: a revised threshold setting procedure.
Aging
Alertness
Cognition
Reaction time
Sleep
Thresholds
Journal
Sleep & breathing = Schlaf & Atmung
ISSN: 1522-1709
Titre abrégé: Sleep Breath
Pays: Germany
ID NLM: 9804161
Informations de publication
Date de publication:
Sep 2019
Sep 2019
Historique:
received:
10
01
2019
accepted:
26
04
2019
revised:
08
04
2019
pubmed:
10
5
2019
medline:
3
11
2020
entrez:
10
5
2019
Statut:
ppublish
Résumé
One of the most common ways to examine the daytime impact of sleep loss is the use of the psychomotor vigilance test (PVT). PVT metrics, including median reaction time (RT) and number of lapses, have been examined in a variety of studies in which both acute and chronic sleep times are manipulated. Most of these studies involve young, healthy individuals and use a visual stimulus. As light is a possible countermeasure to sleep loss, and sometimes incompatible with the use of visual PVT, PVT with auditory cues (aPVT) has been used. A threshold of 400 ms is commonly used to delineate lapses from normal RT in the aPVT. As aging can influence a variety of brain functions, we wanted to examine whether this lapse threshold was accurate for use in older adults. Twenty-eight young and 19 healthy older participants performed a 10-min auditory PVT approximately 90 min before habitual bedtime. The occurrence of lapses was determined by five objective RT thresholds: (1) 400 ms, (2) 500 ms, (3) 2 × median, (4) mean + 2 × SD, and (5) method 4 without outliers. Results of these methods were compared with a triplicate visual inspection of RT histograms to determine RT outside of the expected log normal distribution. In both groups, methods 1, 4, and 5 performed poorly, while methods 2 and 3 were adequate, though method 3 was statistically superior. In both age groups, the use of twice the median as an objective threshold had the best concurrence with visual scoring.
Sections du résumé
BACKGROUND
BACKGROUND
One of the most common ways to examine the daytime impact of sleep loss is the use of the psychomotor vigilance test (PVT). PVT metrics, including median reaction time (RT) and number of lapses, have been examined in a variety of studies in which both acute and chronic sleep times are manipulated. Most of these studies involve young, healthy individuals and use a visual stimulus. As light is a possible countermeasure to sleep loss, and sometimes incompatible with the use of visual PVT, PVT with auditory cues (aPVT) has been used. A threshold of 400 ms is commonly used to delineate lapses from normal RT in the aPVT. As aging can influence a variety of brain functions, we wanted to examine whether this lapse threshold was accurate for use in older adults.
METHODS
METHODS
Twenty-eight young and 19 healthy older participants performed a 10-min auditory PVT approximately 90 min before habitual bedtime. The occurrence of lapses was determined by five objective RT thresholds: (1) 400 ms, (2) 500 ms, (3) 2 × median, (4) mean + 2 × SD, and (5) method 4 without outliers. Results of these methods were compared with a triplicate visual inspection of RT histograms to determine RT outside of the expected log normal distribution.
RESULTS
RESULTS
In both groups, methods 1, 4, and 5 performed poorly, while methods 2 and 3 were adequate, though method 3 was statistically superior.
CONCLUSION
CONCLUSIONS
In both age groups, the use of twice the median as an objective threshold had the best concurrence with visual scoring.
Identifiants
pubmed: 31069648
doi: 10.1007/s11325-019-01859-7
pii: 10.1007/s11325-019-01859-7
doi:
Types de publication
Comparative Study
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1021-1025Subventions
Organisme : Congressionally Directed Medical Research Programs
ID : none
Références
Lim J, Dinges DF (2008) Sleep deprivation and vigilant attention. Ann N Y Acad Sci 1129:305–322. https://doi.org/10.1196/annals.1417.002
doi: 10.1196/annals.1417.002
pubmed: 18591490
Dinges DF, Pack F, Williams K, Gillen KA, Powell JW, Ott GE, Aptowicz C, Pack AI (1997) Cumulative sleepiness, mood disturbance, and psychomotor vigilance performance decrements during a week of sleep restricted to 4-5 hours per night. Sleep 20(4):267–277
pubmed: 9231952
Basner M, Dinges DF (2011) Maximizing sensitivity of the psychomotor vigilance test (PVT) to sleep loss. Sleep 34(5):581–591
doi: 10.1093/sleep/34.5.581
pubmed: 21532951
pmcid: 3079937
Doran SM, Van Dongen HP, Dinges DF (2001) Sustained attention performance during sleep deprivation: evidence of state instability. Arch Ital Biol 139(3):253–267
pubmed: 11330205
Lisper HO, Kjellberg A (1972) Effects of 24-hour sleep deprivation on rate of decrement in a 10-minute auditory reaction time task. J Exp Psychol 96(2):287–290
doi: 10.1037/h0033615
pubmed: 4645958
Dinges DF, Powell JW (1985) Microcomputer analyses of performance on a portable, simple visual RT task during sustained operations. Behav Res Meth Instr 17(6):625–655. https://doi.org/10.3758/BF03200977
doi: 10.3758/BF03200977
Drummond SP, Bischoff-Grethe A, Dinges DF, Ayalon L, Mednick SC, Meloy MJ (2005) The neural basis of the psychomotor vigilance task. Sleep 28(9):1059–1068
pubmed: 16268374
Naito E, Kinomura S, Geyer S, Kawashima R, Roland PE, Zilles K (2000) Fast reaction to different sensory modalities activates common fields in the motor areas, but the anterior cingulate cortex is involved in the speed of reaction. J Neurophysiol 83(3):1701–1709. https://doi.org/10.1152/jn.2000.83.3.1701
doi: 10.1152/jn.2000.83.3.1701
pubmed: 10712490
Jung CM, Ronda JM, Czeisler CA, Wright KP Jr (2011) Comparison of sustained attention assessed by auditory and visual psychomotor vigilance tasks prior to and during sleep deprivation. J Sleep Res 20(2):348–355. https://doi.org/10.1111/j.1365-2869.2010.00877.x
doi: 10.1111/j.1365-2869.2010.00877.x
pubmed: 20819145
Salthouse TA (2010) Selective review of cognitive aging. J Int Neuropsychol Soc 16(5):754–760. https://doi.org/10.1017/S1355617710000706
doi: 10.1017/S1355617710000706
pubmed: 20673381
pmcid: 3637655
Harada CN, Natelson Love MC, Triebel KL (2013) Normal cognitive aging. Clin Geriatr Med 29(4):737–752. https://doi.org/10.1016/j.cger.2013.07.002
doi: 10.1016/j.cger.2013.07.002
pubmed: 24094294
pmcid: 4015335
Tun PA, Williams VA, Small BJ, Hafter ER (2012) The effects of aging on auditory processing and cognition. Am J Audiol 21(2):344–350. https://doi.org/10.1044/1059-0889(2012/12-0030)
doi: 10.1044/1059-0889(2012/12-0030)
pubmed: 23233520
Deary IJ, Corley J, Gow AJ, Harris SE, Houlihan LM, Marioni RE, Penke L, Rafnsson SB, Starr JM (2009) Age-associated cognitive decline. Br Med Bull 92:135–152. https://doi.org/10.1093/bmb/ldp033
doi: 10.1093/bmb/ldp033
pubmed: 19776035
Horne JA, Ostberg O (1976) A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. Int J Chronobiol 4(2):97–110
pubmed: 1027738
World-Health-Organization (2001) The alcohol use disorders identification test: guidelines for use in primary care, 2nd edn. World Health Organization, Geneva, p 2
Basner M, Mollicone D, Dinges DF (2011) Validity and sensitivity of a brief psychomotor vigilance test (PVT-B) to total and partial sleep deprivation. Acta Astronaut 69(11–12):949–959. https://doi.org/10.1016/j.actaastro.2011.07.015
doi: 10.1016/j.actaastro.2011.07.015
pubmed: 22025811
pmcid: 3197786
Dinges DF, Kribbs NB (1991) Performing while sleepy: effects of experimentally-induced sleepiness. Human performance and cognition. Sleep, sleepiness and performance 1991. John Wiley & Sons, Oxford, pp 97–128
R Foundation for Statistical Computing V, Austria (2014) R: a language and environment for statistical computing. R Development Core Team. https://www.r-project.org/
Cajochen C, Zeitzer JM, Czeisler CA, Dijk DJ (2000) Dose-response relationship for light intensity and ocular and electroencephalographic correlates of human alertness. Behav Brain Res 115(1):75–83
doi: 10.1016/S0166-4328(00)00236-9
pubmed: 10996410