Differences in time perception in patients with obstructive sleep apnea.
Chronic intermittent hypoxia
Duration discrimination
Paced motor timing
Temporal reproduction
Time estimation
Time interval reproduction
Journal
Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
ISSN: 1590-3478
Titre abrégé: Neurol Sci
Pays: Italy
ID NLM: 100959175
Informations de publication
Date de publication:
24 Oct 2024
24 Oct 2024
Historique:
received:
01
05
2024
accepted:
17
10
2024
medline:
24
10
2024
pubmed:
24
10
2024
entrez:
23
10
2024
Statut:
aheadofprint
Résumé
Obstructive sleep apnea (OSA) is a condition that occurs due to complete (apnea) and partial (hypopnea) obstruction in the upper airways during sleep. Hypoxia is one of the key factors contributing to the development of symptoms of obstructive sleep apnea and OSA-related diseases. The present study aimed to evaluate time perception differences between patients with OSA and healthy individuals, as well as among different OSA severity groups. Twenty severe OSA, twenty moderate OSA, twenty mild OSA patients, and twenty healthy volunteers without OSA were included in the study. Scales were administered to the participants. Time perception tests were administered to evaluate perceptual timing. In the paced motor timing test, a difference was observed between the OSA ( +) group and the OSA (-) group. In the Time Estimation Test, a difference was observed between the OSA ( +) group and the OSA (-) group and their subgroups. The internal clock works slower in the OSA ( +) group. When subgroups were compared based on the degree of OSA, the internal clock worked slower as we transitioned from the OSA (-) group to the severe OSA group. It is considered that as you move from the OSA (-) group to the severe OSA group, the switch between pacemaker and accumulator is disrupted due to the decrease in attention. Recurrent hypoxia observed in OSA may alter the perception of time by affecting attention.
Sections du résumé
BACKGROUND
BACKGROUND
Obstructive sleep apnea (OSA) is a condition that occurs due to complete (apnea) and partial (hypopnea) obstruction in the upper airways during sleep. Hypoxia is one of the key factors contributing to the development of symptoms of obstructive sleep apnea and OSA-related diseases.
OBJECTIVE
OBJECTIVE
The present study aimed to evaluate time perception differences between patients with OSA and healthy individuals, as well as among different OSA severity groups.
METHODS
METHODS
Twenty severe OSA, twenty moderate OSA, twenty mild OSA patients, and twenty healthy volunteers without OSA were included in the study. Scales were administered to the participants. Time perception tests were administered to evaluate perceptual timing.
RESULTS
RESULTS
In the paced motor timing test, a difference was observed between the OSA ( +) group and the OSA (-) group. In the Time Estimation Test, a difference was observed between the OSA ( +) group and the OSA (-) group and their subgroups.
CONCLUSION
CONCLUSIONS
The internal clock works slower in the OSA ( +) group. When subgroups were compared based on the degree of OSA, the internal clock worked slower as we transitioned from the OSA (-) group to the severe OSA group. It is considered that as you move from the OSA (-) group to the severe OSA group, the switch between pacemaker and accumulator is disrupted due to the decrease in attention. Recurrent hypoxia observed in OSA may alter the perception of time by affecting attention.
Identifiants
pubmed: 39443436
doi: 10.1007/s10072-024-07827-8
pii: 10.1007/s10072-024-07827-8
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024. Fondazione Società Italiana di Neurologia.
Références
Dempsey JA, Veasey SC, Morgan BJ, O’Donnell CP (2010) Pathophysiology of sleep apnea. Physiol Rev 90(1):47
doi: 10.1152/physrev.00043.2008
pubmed: 20086074
pmcid: 3970937
Jonas DE, Amick HR, Feltner C, PalmieriWeber R, Arvanitis M, Stine A et al (2017) Screening for obstructive sleep apnea in adults: evidence report and systematic review for the US preventive services task force. JAMA 317(4):415–433
doi: 10.1001/jama.2016.19635
pubmed: 28118460
Peppard PE, Young T, Barnet JH, Palta M, Hagen EW, Hla KM (2013) Increased prevalence of sleep-disordered breathing in adults. Am J Epidemiol 177(9):1006–1014
doi: 10.1093/aje/kws342
pubmed: 23589584
pmcid: 3639722
Droit-Volet S (2013) Time perception, emotions and mood disorders. J Physiol Paris 107(4):255–264
doi: 10.1016/j.jphysparis.2013.03.005
pubmed: 23542546
Gibbon J (1977) Scalar expectancy theory and Weber’s law in animal timing. Psychol Rev 84(3):279
doi: 10.1037/0033-295X.84.3.279
Buhusi CV, Meck WH (2005) What makes us tick? Functional and neural mechanisms of interval timing. Nat Rev Neurosci 6(10):755–765
doi: 10.1038/nrn1764
pubmed: 16163383
Gibbon J, Church RM, Meck WH (1984) Scalar timing in memory. Ann N Y Acad Sci 423(1):52–77
doi: 10.1111/j.1749-6632.1984.tb23417.x
pubmed: 6588812
Grondin S (2010) Timing and time perception: a review of recent behavioral and neuroscience findings and theoretical directions. Atten Percept Psychophys 72:561–182
doi: 10.3758/APP.72.3.561
pubmed: 20348562
Block RA, Zakay D (1996) Models of psychological time revisited. Time Mind 33(9):171–195
Tononi G, Cirelli C (2014) Sleep and the price of plasticity: from synaptic and cellular homeostasis to memory consolidation and integration. Neuron 81(1):12
doi: 10.1016/j.neuron.2013.12.025
pubmed: 24411729
pmcid: 3921176
Lim J, Dinges DF (2010) A meta-analysis of the impact of short-term sleep deprivation on cognitive variables. Psychol Bull 136(3):375–389
doi: 10.1037/a0018883
pubmed: 20438143
pmcid: 3290659
Kirszenblat L, van Swinderen B (2015) The yin and yang of sleep and attention. Trends Neurosci 38(12):776
doi: 10.1016/j.tins.2015.10.001
pubmed: 26602764
pmcid: 4803435
Rodrigues T, Shigaeff N (2022) Sleep disorders and attention: a systematic review. Arq Neuropsiquiatr 80(5):530
doi: 10.1590/0004-282x-anp-2021-0182
pubmed: 35476076
pmcid: 9238330
Legault J, Thompson C, Martineau-Dussault MÈ, André C, Baril AA, Villar GM et al (2021) Obstructive sleep apnea and cognitive decline: a review of potential vulnerability and protective factors. Brain Sci 11(6):706
doi: 10.3390/brainsci11060706
pubmed: 34071739
pmcid: 8226698
Gagnon K, Baril AA, Gagnon JF, Fortin M, Décary A, Lafond C et al (2014) Cognitive impairment in obstructive sleep apnea. Pathol Biol (Paris) 62(5):233–240
doi: 10.1016/j.patbio.2014.05.015
pubmed: 25070768
Seda G, Han TS (2020) Effect of obstructive sleep apnea on neurocognitive performance. Sleep Med Clin 15(1):77–85
doi: 10.1016/j.jsmc.2019.10.001
pubmed: 32005352
Zhan G, Fenik P, Pratico D, Veasey SC (2005) Inducible nitric oxide synthase in long-term intermittent hypoxia: hypersomnolence and brain injury. Am J Respir Crit Care Med 171(12):1414–1420
doi: 10.1164/rccm.200411-1564OC
pubmed: 15750040
pmcid: 2718483
Izci B, Ardic S, Firat H, Sahin A, Altinors M, Karacan I (2008) Reliability and validity studies of the Turkish version of the Epworth Sleepiness Scale. Sleep Breath 12(2):161–168
doi: 10.1007/s11325-007-0145-7
pubmed: 17922157
Hisli N (1988) Beck depresyon Ölçeği’nin bir Türk örnekleminde geçerlilik ve güvenilirliği. Psikoloji dergisi 6:118–122
Ulusoy M, Şahin N, Erkman H (1998) Turkish version of the beck anxiety ınventory: psychometric properties. J Cogn Psychother Int Quat 12:28–35
Wittmann M, Leland DS, Churan J, Paulus MP (2007) Impaired time perception and motor timing in stimulant-dependent subjects. Drug Alcohol Depend 90(2–3):183
doi: 10.1016/j.drugalcdep.2007.03.005
pubmed: 17434690
pmcid: 1997301
Canessa N, Castronovo V, Cappa SF, Aloia MS, Marelli S, Falini A et al (2011) Obstructive sleep apnea: brain structural changes and neurocognitive function before and after treatment. Am J Respir Crit Care Med 183(10):1419–1426
doi: 10.1164/rccm.201005-0693OC
pubmed: 21037021
Castronovo V, Scifo P, Castellano A, Aloia MS, Iadanza A, Marelli S et al (2014) White matter integrity in obstructive sleep apnea before and after treatment. Sleep 37(9):1465
doi: 10.5665/sleep.3994
pubmed: 25142557
pmcid: 4153061
Yabe Y, Goodale MA (2015) Time flies when we intend to act: temporal distortion in a go/no-go task. J Neurosci 35(12):5023–5029
doi: 10.1523/JNEUROSCI.4386-14.2015
pubmed: 25810531
pmcid: 6705366
Casini L, Ivry RB (1999) Effects of divided attention on temporal processing in patients with lesions of the cerebellum or frontal lobe. Neuropsychology 13(1):10–21
doi: 10.1037/0894-4105.13.1.10
pubmed: 10067771
Kane MJ, Engle RW (2003) Working-memory capacity and the control of attention: the contributions of goal neglect, response competition, and task set to Stroop interference. J Exp Psychol Gen 132(1):47–70
doi: 10.1037/0096-3445.132.1.47
pubmed: 12656297
Weigard A, Huang-Pollock C (2017) The role of speed in ADHD-related working memory deficits: a time-based resource-sharing and diffusion model account. Clin Psychol Sci 5(2):195
doi: 10.1177/2167702616668320
pubmed: 28533945
Schwarz KA, Weller L (2023) Distracted to a fault: attention, actions, and time perception. Atten Percept Psychophys 85(2):301
doi: 10.3758/s13414-022-02632-x
pubmed: 36522566
Theorell-Haglöw J, Hoyos CM, Phillips CL, Yee BJ, Melehan KL, Liu PY et al (2019) Associations between obstructive sleep apnea and measures of arterial stiffness. J Clin Sleep Med 15(2):201
doi: 10.5664/jcsm.7616
pubmed: 30736873
pmcid: 6374088
Miyake Y, Onishi Y, Pöppel E (2004) Two types of anticipation in synchronous tapping. Acta Neurobiol Exp 64:415–426
doi: 10.55782/ane-2004-1524
Caman MB, Bek S, Aksu S, Kutlu G (2023) The effects of Vagal Nerve Stimulation on time perception in epilepsy patients. J Clin Neurosci 118:163–167
doi: 10.1016/j.jocn.2023.11.005
pubmed: 37948913
Dahlstroem A, Fuxe K (1964) Evıdence for the existence of monoamine-containing neurons in the central nervous system. I. demonstration of monoamines in the cell bodies of brain stem neurons. Acta Physiol Scand Suppl Suppl 232:1–55
Maricq AV, Church RM (1983) The differential effects of haloperidol and methamphetamine on time estimation in the rat. Psychopharmacology 79(1):10–15
doi: 10.1007/BF00433008
pubmed: 6403957
Namboodiri VMK, Levy JM, Mihalas S, Sims DW, Shuler MGH (2016) Rationalizing spatial exploration patterns of wild animals and humans through a temporal discounting framework. Proc Natl Acad Sci U S A 113(31):8747–8752
doi: 10.1073/pnas.1601664113
pubmed: 27385831
pmcid: 4978240
Eban-Rothschild A, Rothschild G, Giardino WJ, Jones JR, de Lecea L (2016) VTA dopaminergic neurons regulate ethologically relevant sleep-wake behaviors. Nat Neurosci 19(10):1356–1366
doi: 10.1038/nn.4377
pubmed: 27595385
pmcid: 5519826
Wisor JP, Nishino S, Sora I, Uhl GH, Mignot E, Edgar DM (2001) Dopaminergic role in stimulant-induced wakefulness. J Neurosci 21(5):1787–1794
doi: 10.1523/JNEUROSCI.21-05-01787.2001
pubmed: 11222668
pmcid: 6762940
Gozal D, Daniel JM, Dohanich GP (2001) Behavioral and anatomical correlates of chronic episodic hypoxia during sleep in the Rat. J Neurosci 21(7):2442
doi: 10.1523/JNEUROSCI.21-07-02442.2001
pubmed: 11264318
pmcid: 6762394
Zhu Y, Fenik P, Zhan G, Mazza E, Kelz M, Aston-Jones G et al (2007) Selective loss of catecholaminergic wake-active neurons in a murine sleep apnea model. J Neurosci 27(37):10060
doi: 10.1523/JNEUROSCI.0857-07.2007
pubmed: 17855620
pmcid: 6672651