The Effects of Sleep Deprivation on Information-integration Categorization Performance

Overview

Journal Sleep

Publisher Oxford University Press

Specialty Psychiatry

Date 2009 Nov 26

PMID 19928383

Citations 21

Authors

W Todd Maddox

Brian D Glass

Sasha M Wolosin

Zachary R Savarie

Christopher Bowen

Michael D Matthews

David M Schnyer

Affiliations

Soon will be listed here.

Abstract

Background: Sleep deprivation is a serious problem facing individuals in many critical societal roles. One of the most ubiquitous tasks facing individuals is categorization. Sleep deprivation is known to affect rule-based categorization in the classic Wisconsin Card Sorting Task, but, to date, information-integration categorization has not been examined.

Study Objectives: To investigate the effects of sleep deprivation on information-integration category learning.

Design: Participants performed an information-integration categorization task twice, separated by a 24-hour period, with or without sleep between testing sessions.

Participants: Twenty-one West Point cadets participated in the sleep-deprivation group and 28 West Point cadets participated in a control group.

Measurements And Results: Sleep deprivation led to an overall performance deficit during the second testing session-that is, whereas participants allowed to sleep showed a significant performance increase during the second testing session, sleepless participants showed a small (but nonsignificant) performance decline during the second testing session. Model-based analyses indicated that a major contributor to the sleep-deprivation effect was the poor second-session performance of a subgroup of sleep-deprived participants who shifted from optimal information-integration strategies at the end of the first session to less-optimal rule-based strategies at the start of the second session. Sleep-deprived participants who used information-integration strategies in both sessions showed no drop in performance in the second session, mirroring the behavior of control participants.

Conclusions: The findings suggest that the neural systems underlying information-integration strategies are not strongly affected by sleep deprivation but, rather, that the use of an information-integration strategy in a task may require active inhibition of rule-based strategies, with this inhibitory process being vulnerable to the effects of sleep deprivation.

Citing Articles

The spacing effect in remote information-integration category learning.

Cruz A, Minda J Mem Cognit. 2024; 52(7):1653-1672.

PMID: 38684557 DOI: 10.3758/s13421-024-01569-w.

Memory for incidentally learned categories evolves in the post-learning interval.

Gabay Y, Karni A, Holt L Elife. 2023; 12.

PMID: 36961499 PMC: 10101687. DOI: 10.7554/eLife.81855.

How do we generalize?.

Taylor J, Cortese A, Barron H, Pan X, Sakagami M, Zeithamova D Neuron Behav Data Anal Theory. 2022; 1.

PMID: 36282996 PMC: 7613724. DOI: 10.51628/001c.27687.

The Mind After Midnight: Nocturnal Wakefulness, Behavioral Dysregulation, and Psychopathology.

Tubbs A, Fernandez F, Grandner M, Perlis M, Klerman E Front Netw Physiol. 2022; 1.

PMID: 35538929 PMC: 9083440. DOI: 10.3389/fnetp.2021.830338.

Sleep deprivation and memory: Meta-analytic reviews of studies on sleep deprivation before and after learning.

Newbury C, Crowley R, Rastle K, Tamminen J Psychol Bull. 2022; 147(11):1215-1240.

PMID: 35238586 PMC: 8893218. DOI: 10.1037/bul0000348.

References

Nomura E, Maddox W, Filoteo J, Ing A, Gitelman D, Parrish T . Neural correlates of rule-based and information-integration visual category learning. Cereb Cortex. 2006; 17(1):37-43. DOI: 10.1093/cercor/bhj122. View

Seger C . How do the basal ganglia contribute to categorization? Their roles in generalization, response selection, and learning via feedback. Neurosci Biobehav Rev. 2007; 32(2):265-78. PMC: 2376049. DOI: 10.1016/j.neubiorev.2007.07.010. View

Harrison Y, Horne J, Rothwell A . Prefrontal neuropsychological effects of sleep deprivation in young adults--a model for healthy aging?. Sleep. 2001; 23(8):1067-73. View

Ashby F, OBrien J . Category learning and multiple memory systems. Trends Cogn Sci. 2005; 9(2):83-9. DOI: 10.1016/j.tics.2004.12.003. View

Seger C, Cincotta C . Dynamics of frontal, striatal, and hippocampal systems during rule learning. Cereb Cortex. 2005; 16(11):1546-55. DOI: 10.1093/cercor/bhj092. View

Love B, Gureckis T . Models in search of a brain. Cogn Affect Behav Neurosci. 2007; 7(2):90-108. DOI: 10.3758/cabn.7.2.90. View

Zeithamova D, Maddox W . Dual-task interference in perceptual category learning. Mem Cognit. 2006; 34(2):387-98. DOI: 10.3758/bf03193416. View

Ashby F, Maddox W, Bohil C . Observational versus feedback training in rule-based and information-integration category learning. Mem Cognit. 2002; 30(5):666-77. DOI: 10.3758/bf03196423. View

Poldrack R, Packard M . Competition among multiple memory systems: converging evidence from animal and human brain studies. Neuropsychologia. 2002; 41(3):245-51. DOI: 10.1016/s0028-3932(02)00157-4. View

10.

Ashby F, Gott R . Decision rules in the perception and categorization of multidimensional stimuli. J Exp Psychol Learn Mem Cogn. 1988; 14(1):33-53. DOI: 10.1037//0278-7393.14.1.33. View

11.

Maddox W, Ashby F . Comparing decision bound and exemplar models of categorization. Percept Psychophys. 1993; 53(1):49-70. DOI: 10.3758/bf03211715. View

12.

Takeyama H, Itani T, Tachi N, Sakamura O, Murata K, Inoue T . Effects of shift schedules on fatigue and physiological functions among firefighters during night duty. Ergonomics. 2005; 48(1):1-11. DOI: 10.1080/00140130412331303920. View

13.

Maddox W, Filoteo J, Lauritzen J . Within-category discontinuity interacts with verbal rule complexity in perceptual category learning. J Exp Psychol Learn Mem Cogn. 2007; 33(1):197-218. DOI: 10.1037/0278-7393.33.1.197. View

14.

Filoteo J, Maddox W, Simmons A, Ing A, Cagigas X, Matthews S . Cortical and subcortical brain regions involved in rule-based category learning. Neuroreport. 2005; 16(2):111-5. DOI: 10.1097/00001756-200502080-00007. View

15.

Maddox W, Bohil C, Ing A . Evidence for a procedural-learning-based system in perceptual category learning. Psychon Bull Rev. 2005; 11(5):945-52. DOI: 10.3758/bf03196726. View

16.

Ashby F, Maddox W . Human category learning. Annu Rev Psychol. 2005; 56:149-78. DOI: 10.1146/annurev.psych.56.091103.070217. View

17.

Poldrack R, Foerde K . Category learning and the memory systems debate. Neurosci Biobehav Rev. 2007; 32(2):197-205. DOI: 10.1016/j.neubiorev.2007.07.007. View

18.

Maddox W, Ashby F . Dissociating explicit and procedural-learning based systems of perceptual category learning. Behav Processes. 2004; 66(3):309-32. DOI: 10.1016/j.beproc.2004.03.011. View

19.

Veasey S, Rosen R, Barzansky B, Rosen I, Owens J . Sleep loss and fatigue in residency training: a reappraisal. JAMA. 2002; 288(9):1116-24. DOI: 10.1001/jama.288.9.1116. View

20.

Maddox W, Ashby F, Bohil C . Delayed feedback effects on rule-based and information-integration category learning. J Exp Psychol Learn Mem Cogn. 2003; 29(4):650-62. DOI: 10.1037/0278-7393.29.4.650. View