Sleepiness and safety: Where biology needs technology

Sleep and Biological Rhythms

Volumn 12, Issue 2, 2014, Pages 74-84

  Abe, Takashi ^a   Mollicone, Daniel ^b   Basner, Mathias ^c   Dinges, David F ^c  

^a JAPAN AEROSPACE EXPLORATION AGENCY   (Japan)

^b Pulsar Informatics Inc   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Biomathematical models; Drowsiness; PERCLOS; Psychomotor Vigilance Test; Safety; Vigilance

Indexed keywords

ACCIDENT; ALERTNESS; CIRCADIAN RHYTHM; COGNITION; DROWSINESS; ELECTROENCEPHALOGRAM; EYELID CLOSURE; EYELID REFLEX; FATIGUE; GENETIC POLYMORPHISM; HUMAN; MATHEMATICAL MODEL; NEUROIMAGING; NIGHT WORK; PREDICTION; PRIORITY JOURNAL; REVIEW; SAFETY; SLEEP DEPRIVATION; SLEEP TIME; SOMNOLENCE; WORK DISABILITY;

EID: 84901375324     PISSN: 14469235     EISSN: 14798425     Source Type: Journal    
DOI: 10.1111/sbr.12067     Document Type: Review

References (88)

1. Dinges DF. An overview of sleepiness and accidents. J. Sleep Res. 1995; 4: 4-14.
2. Dinges DF, Abe T. Transportation safety and operator sleepiness: where biology needs technology. In: International Association of Traffic and Safety Sciences, ed. IATSS Booklet No4, Traffic Safety in the Future, Session by IATSS Symposium Department. International Association of Traffic and Safety Sciences: Tokyo, 2013; 88-120.
3. Mitler MM, Carskadon MA, Czeisler CA, Dement WC, Dinges DF, Graeber RC. Catastrophes, sleep, and public-policy - consensus report. Sleep 1988; 11: 100-109.
4. Gangwisch JE, Heymsfield SB, Boden-Albala B etal. Short sleep duration as a risk factor for hypertension: analyses of the first National Health and Nutrition Examination Survey. Hypertension 2006; 47: 833-839.
5. Wolff B, Volzke H, Schwahn C, Robinson D, Kessler C, John U. Relation of self-reported sleep duration with carotid intima-media thickness in a general population sample. Atherosclerosis 2008; 196: 727-732.
6. Spiegel K, Leproult R, L'Hermite-Baleriaux M, Copinschi G, Penev PD, Van Cauter E. Leptin levels are dependent on sleep duration: relationships with sympathovagal balance, carbohydrate regulation, cortisol, and thyrotropin. J. Clin. Endocrinol. Metab. 2004; 89: 5762-5771.
7. Spiegel K, Leproult R, Van Cauter E. Impact of sleep debt on metabolic and endocrine function. Lancet 1999; 354: 1435-1439.
8. Spaeth AM, Dinges DF, Goel N. Effects of experimental sleep restriction on weight gain, caloric intake, and meal timing in healthy adults. Sleep 2013; 36: 981-990.
9. Okajima I, Komada Y, Nomura T, Nakashima K, Inoue Y. Insomnia as a risk for depression: a longitudinal epidemiologic study on a Japanese rural cohort. J. Clin. Psychiatry 2012; 73: 377-383.
10. Abe T, Inoue Y, Komada Y etal. Relation between morningness-eveningness score and depressive symptoms among patients with delayed sleep phase syndrome. Sleep Med. 2011; 12: 680-684.
11. Stevens RG, Blask DE, Brainard GC etal. Meeting report: the role of environmental lighting and circadian disruption in cancer and other diseases. Environ. Health Perspect. 2007; 115: 1357-1362.
12. Mallis MM, Mejdal S, Nguyen TT, Dinges DF. Summary of the key features of seven biomathematical models of human fatigue and performance. Aviat. Space Environ. Med. 2004; 75: A4-14.
13. Dawson D, Ian Noy Y, Harma M, Akerstedt T, Belenky G. Modelling fatigue and the use of fatigue models in work settings. Accid. Anal. Prev. 2011; 43: 549-564.
14. Balkin TJ, Horrey WJ, Graeber RC, Czeisler CA, Dinges DF. The challenges and opportunities of technological approaches to fatigue management. Accid. Anal. Prev. 2011; 43: 565-572.
15. Dinges DF. Critical research issues in development of biomathematical models of fatigue and performance. Aviat. Space Environ. Med. 2004; 75: A181-191.
16. Dinges DF, Mallis MM, Maislin G, Powell JW. 1998) Evaluation of techniques for ocular measurement as an index of fatigue and as the basis for alertness management. Report no. DOT HS 808 762.
17. Borbély AA. A two process model of sleep regulation. Hum. Neurobiol. 1982; 1: 195-204.
18. Åkerstedt T, Gillberg M, Wetterberg L. Subjective and objective sleepiness in the active individual. Int. J. Neurosci. 1990; 52: 29-37.
19. Goel N, Van Dongen HPA, Dinges DF. Circadian rhythm in sleepiness, alertness and performance. In: Kryger MH, Roth T, Dement WC, eds. Principles and Practice of Seep Medicine. Elsevier: Philadelphia, PA, 2011; 4445-4455.
20. Lim J, Dinges DF. Sleep deprivation and vigilant attention. Ann. N. Y. Acad. Sci. 2008; 1129: 305-322.
21. Belenky G, Wesensten NJ, Thorne DR etal. Patterns of performance degradation and restoration during sleep restriction and subsequent recovery: a sleep dose-response study. J. Sleep Res. 2003; 12: 1-12.
22. Van Dongen HPA, Maislin G, Mullington JM, Dinges DF. The cumulative cost of additional wakefulness: dose-response effects on neurobehavioral functions and sleep physiology from chronic sleep restriction and total sleep deprivation. Sleep 2003; 26: 117-126.
23. Carskadon MA, Dement WC. Cumulative effects of sleep restriction on daytime sleepiness. Psychophysiology 1981; 18: 107-113.
24. Dinges DF, Pack F, Williams K etal. Cumulative sleepiness, mood disturbance, and psychomotor vigilance performance decrements during a week of sleep restricted to 4-5 hours per night. Sleep 1997; 20: 267-277.
25. Banks S, Dinges DF. Behavioral and physiological consequences of sleep restriction. J. Clin. Sleep Med. 2007; 3: 519-528.
26. Banks S, Van Dongen HP, Maislin G, Dinges DF. Neurobehavioral dynamics following chronic sleep restriction: dose-response effects of one night for recovery. Sleep 2010; 33: 1013-1026.
27. Roth T, Hartse KM, Zorick F, Conway W. Multiple naps and the evaluation of daytime sleepiness in patients with upper airway sleep apnea. Sleep 1980; 3: 425-439.
28. Reyner LA, Horne JA. Evaluation "in-car" countermeasures to sleepiness: cold air and radio. Sleep 1998; 21: 46-50.
29. Schwarz JFA, Ingre M, Fors C etal. In-car countermeasures open window and music revisited on the real road: popular but hardly effective against driver sleepiness. J. Sleep Res. 2012; 21: 595-599.
30. Goel N, Dinges DF. Behavioral and genetic markers of sleepiness. J. Clin. Sleep Med. 2011; 7: S19-21.
31. Van Dongen HPA, Maislin G, Dinges DF. Dealing with inter-individual differences in the temporal dynamics of fatigue and performance: importance and techniques. Aviat. Space Environ. Med. 2004; 75: A147-154.
32. Van Dongen HPA, Baynard MD, Maislin G, Dinges DF. Systematic interindividual differences in neurobehavioral impairment from sleep loss: evidence of trait-like differential vulnerability. Sleep 2004; 27: 423-433.
33. Kuna ST, Maislin G, Pack FM etal. Heritability of performance deficit accumulation during acute sleep deprivation in twins. Sleep 2012; 35: 1223-1233.
34. Rupp TL, Wesensten NJ, Balkin TJ. Trait-like vulnerability to total and partial sleep loss. Sleep 2012; 35: 1163-1172.
35. Dijkman M, Sachs N, Levine E etal. Effects of reduced stimulation on neurobehavioral alertness depend on circadian phase during human sleep deprivation. Sleep Res. Online 1997; 26: 265.
36. Van Dongen HPA, Dijkman MV, Maislin G, Dinges DF. Phenotypic aspect of vigilance decrement during sleep deprivation. Physiologist 1999; 42: A-5.
37. Viola AU, Archer SN, James LM etal. PER3 polymorphism predicts sleep structure and waking performance. Curr. Biol. 2007; 17: 613-618.
38. Goel N, Banks S, Mignot E, Dinges DF. PER3 polymorphism predicts cumulative sleep homeostatic but not neurobehavioral changes to chronic partial sleep deprivation. PLoS ONE 2009; 4: e5874.
39. Goel N, Banks S, Mignot E, Dinges DF. DQB1*0602 predicts interindividual differences in physiologic sleep, sleepiness, and fatigue. Neurology 2010; 75: 1509-1519.
40. Goel N, Banks S, Lin L, Mignot E, Dinges DF. Catechol-O-methyltransferase Val158Met polymorphism associates with individual differences in sleep physiologic responses to chronic sleep loss. PLoS ONE 2011; 6: e29283.
41. Groeger JA, Viola AU, Lo JCY, von Schantz M, Archer SN, Dijk DJ. Early morning executive functioning during sleep deprivation is compromised by a PERIOD3 polymorphism. Sleep 2008; 31: 1159-1167.
42. Vandewalle G, Archer SN, Wuillaume C etal. Functional magnetic resonance imaging-assessed brain responses during an executive task depend on interaction of sleep homeostasis, circadian phase, and PER3 genotype. J. Neurosci. 2009; 29: 7948-7956.
43. Lo JC, Groeger JA, Santhi N etal. Effects of partial and acute total sleep deprivation on performance across cognitive domains, individuals and circadian phase. PLoS ONE 2012; 7: e45987.
44. Rupp TL, Wesensten NJ, Newman R, Balkin TJ. PER3 and ADORA2A polymorphisms impact neurobehavioral performance during sleep restriction. J. Sleep Res. 2013; 22: 160-165.
45. Mu Q, Mishory A, Johnson KA etal. Decreased brain activation during a working memory task at rested baseline is associated with vulnerability to sleep deprivation. Sleep 2005; 28: 433-446.
46. Caldwell JA, Mu Q, Smith JK etal. Are individual differences in fatigue vulnerability related to baseline differences in cortical activation? Behav. Neurosci. 2005; 119: 694-707.
47. Chee MWL, Chuah LYM, Venkatraman V, Chan WY, Philip P, Dinges DF. Functional imaging of working memory following normal sleep and after 24 and 35h of sleep deprivation: correlations of fronto-parietal activation with performance. NeuroImage 2006; 31: 419-428.
48. Chee MWL, Tan JC. Lapsing when sleep deprived: neural activation characteristics of resistant and vulnerable individuals. NeuroImage 2010; 51: 835-843.
49. Chuah YM, Venkatraman V, Dinges DF, Chee MW. The neural basis of interindividual variability in inhibitory efficiency after sleep deprivation. J. Neurosci. 2006; 26: 7156-7162.
50. Poudel GR, Innes CR, Jones RD. Cerebral perfusion differences between drowsy and nondrowsy individuals after acute sleep restriction. Sleep 2012; 35: 1085-1096.
51. Lim J, Wu WC, Wang JJ, Detre JA, Dinges DF, Rao HY. Imaging brain fatigue from sustained mental workload: an ASL perfusion study of the time-on-task effect. NeuroImage 2010; 49: 3426-3435.
52. Goel N, Dinges DF. Predicting risk in space: genetic markers for differential vulnerability to sleep restriction. Acta Astronaut. 2012; 77: 207-213.
53. Van Dongen HPA, Mott CG, Huang JK, Mollicone DJ, McKenzie FD, Dinges DF. Optimization of biomathematical model predictions for cognitive performance impairment in individuals: accounting for unknown traits and uncertain states in homeostatic and circadian processes. Sleep 2007; 30: 1129-1143.
54. McCauley P, Kalachev LV, Smith AD, Belenky G, Dinges DF, Van Dongen HP. A new mathematical model for the homeostatic effects of sleep loss on neurobehavioral performance. J. Theor. Biol. 2009; 256: 227-239.
55. Van Dongen HPA. Comparison of mathematical model predictions to experimental data of fatigue and performance. Aviat. Space Environ. Med. 2004; 75: A15-36.
56. Van Dongen HPA, Dinges DF. Investigating the interaction between the homeostatic and circadian processes of sleep-wake regulation for the prediction of waking neurobehavioural performance. J. Sleep Res. 2003; 12: 181-187.
57. McCauley P, Kalachev LV, Mollicone DJ, Banks S, Dinges DF, Van Dongen HPA. Dynamic circadian modulation in a mathematical model for the effects of sleep and sleep loss on waking neurobehavioral performance. Sleep 2013; 36: 1989-1999.
58. Lim J, Dinges DF. A meta-analysis of the impact of short-term sleep deprivation on cognitive variables. Psychol. Bull. 2010; 136: 375-389.
59. Basner M, Dinges DF. Maximizing sensitivity of the psychomotor vigilance test (PVT) to sleep loss. Sleep 2011; 34: 581-591.
60. Basner M, Mollicone D, Dinges DF. Validity and sensitivity of a brief psychomotor vigilance test (PVT-B) to total and partial sleep deprivation. Acta Astronaut. 2011; 69: 949-959.
61. Gander P, Millar M, Webster C, Merry A. Sleep loss and performance of anaesthesia trainees and specialists. Chronobiol. Int. 2008; 25: 1077-1091.
62. Sunwoo BY, Jackson N, Maislin G, Gurubhagavatula I, George CF, Pack AI. Reliability of a single objective measure in assessing sleepiness. Sleep 2012; 35: 149-158.
63. Kim H, Dinges DF, Young T. Sleep-disordered breathing and psychomotor vigilance in a community-based sample. Sleep 2007; 30: 1309-1316.
64. Zhang CB, Varvarigou V, Parks PD etal. Psychomotor vigilance testing of professional drivers in the occupational health clinic a potential objective screen for daytime sleepiness. J. Occup. Environ. Med. 2012; 54: 296-302.
65. Basner M, Dinges DF. An adaptive-duration version of the PVT accurately tracks changes in psychomotor vigilance induced by sleep restriction. Sleep 2012; 35: 193-202.
66. Basner M, Rubinstein J. Fitness for duty: a 3-minute version of the Psychomotor Vigilance Test predicts fatigue-related declines in luggage-screening performance. J. Occup. Environ. Med. 2011; 53: 1146-1154.
67. Dinges DF, Price NJ, Maislin G etal. 2002) Prospective laboratory revalidation of ocular-based drowsiness detection technologies and countermeasures. NHTSA Drowsy driver detection and interface projects. DTNH-22-00-D-07007.
68. Mallis MM, Dinges DF. Monitoring alertness by eyelid closure. In: Stanton N, Hedge A, Brookhuis K, Salas E, Hendrick H, eds. The Handbook of Human Factors and Ergonomics Methods. CRC Press: New York, 2005; 25.1-256.
69. Mallis MM, Banks S, Dinges DF. Sleep and circadian control of neurobehavioral functions. In: Parasuraman R, Rizzo M, eds. Neuroergonomics: The Brain at Work. Oxford University Press: Oxford, 2007; 207-220.
70. Abe T, Nonomura T, Komada Y etal. Detecting deteriorated vigilance using percentage of eyelid closure time during behavioral maintenance of wakefulness tests. Int. J. Psychophysiol. 2011; 82: 269-274.
71. Chua EC, Tan WQ, Yeo SC etal. Heart rate variability can be used to estimate sleepiness-related decrements in psychomotor vigilance during total sleep deprivation. Sleep 2012; 35: 325-334.
72. Ong JL, Asplund CL, Chia TT, Chee MW. Now you hear me, now you don't: eyelid closures as an indicator of auditory task disengagement. Sleep 2013; 36: 1867-1874.
73. Dinges DF, Rider RL, Dorrian J etal. Optical computer recognition of facial expressions associated with stress induced by performance demands. Aviat. Space Environ. Med. 2005; 76: B172-182.
74. Dinges DF, Venkataraman S, McGlinchey EL, Metaxas DN. Monitoring of facial stress during space flight: optical computer recognition combining discriminative and generative methods. Acta Astronaut. 2007; 60: 341-350.
75. Basner M, Dinges DF, Mollicone D etal. Mars 520-d mission simulation reveals protracted crew hypokinesis and alterations of sleep duration and timing. Proc. Natl. Acad. Sci. USA 2013; 110: 2635-2640.
76. Jones CW, Basner M, Yu X etal. Unobtrusive tracking of slow eyelid closures as a measure of fatigue from sleep loss. Sleep 2013; 35: A110.
77. Johns MW, Chapman R, Crowley K, Tucker A. A new method for assessing the risks of drowsiness while driving. Somnologie 2008; 12: 66-74.
78. Johns MW, Tucker A, Chapman R, Crowley K, Michael N. Monitoring eye and eyelid movements by infrared reflectance oculography to measure drowsiness in drivers. Somnologie 2007; 11: 234-242.
79. Wilkinson VE, Jackson ML, Westlake J etal. The accuracy of eyelid movement parameters for drowsiness detection. J. Clin. Sleep Med. 2013; 9: 1315-1324.
80. Ftouni S, Rahman SA, Crowley KE, Anderson C, Rajaratnam SM, Lockley SW. Temporal dynamics of ocular indicators of sleepiness across sleep restriction. J. Biol. Rhythms 2013; 28: 412-424.
81. Anderson C, Chang AM, Sullivan JP, Ronda JM, Czeisler CA. Assessment of drowsiness based on ocular parameters detected by infrared reflectance oculography. J. Clin. Sleep Med. 2013; 9: 907-920, 920A-920B.
82. Michael N, Johns M, Owen C, Patterson J. Effects of caffeine on alertness as measured by infrared reflectance oculography. Psychopharmacology (Berl) 2008; 200: 255-260.
83. Ftouni S, Sletten TL, Howard M etal. Objective and subjective measures of sleepiness, and their associations with on-road driving events in shift workers. J. Sleep Res. 2013; 22: 58-69.
84. Anderson C, Wales AW, Horne JA. PVT lapses differ according to eyes open, closed, or looking away. Sleep 2010; 33: 197-204.
85. Dinges DF, Maislin G, Brewster RM, Krueger GP, Carroll RJ. Pilot test of fatigue management technologies. Transp. Res. Rec. 2005; 1922: 175-182.
86. Kane RL, Short P, Sipes W, Flynn CF. Development and validation of the spaceflight cognitive assessment tool for windows (WinSCAT). Aviat. Space Environ. Med. 2005; 76: B183-191.
87. Dinges DF, Basner M, Mollicone DJ etal. ISS Missions: Elevated Workload and Reduced Sleep Duration. Paper presented at: 2013 NASA Human Research Program Investigators' Workshop, Feb 11-14, Galveston, Texas, 2013.
88. Schneiderman JS, Gur RC, Dinges DF etal. Individualized Real-Time Neurocognitive Assessment Toolkit for Space Flight Fatigue (NeuroCATS). Paper presented at: 2013 NASA Human Research Program Investigators' Workshop, Feb 11-14, Galveston, Texas, 2013.