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0169 Distinct Dimensions in Psychomotor Vigilance Test (PVT) Metrics
Abstract Introduction The PVT measures sustained attention through speeded responses to rolling millisecond counter stimuli, which appear at random 2-10s intervals across the 10min task. Performance impairment on the PVT has been quantified using a variety of outcome metrics that describe aspects of...
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| Published in: | Sleep (New York, N.Y.) N.Y.), 2018-04, Vol.41 (suppl_1), p.A66-A67 |
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| Language: | English |
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| container_end_page | A67 |
| container_issue | suppl_1 |
| container_start_page | A66 |
| container_title | Sleep (New York, N.Y.) |
| container_volume | 41 |
| creator | Riedy, S M Van Dongen, H |
| description | Abstract
Introduction
The PVT measures sustained attention through speeded responses to rolling millisecond counter stimuli, which appear at random 2-10s intervals across the 10min task. Performance impairment on the PVT has been quantified using a variety of outcome metrics that describe aspects of the response time (RT) distribution. We investigated whether PVT metrics used in the literature reflect essentially the same or different aspects of performance impairment due to sleep loss.
Methods
N=99 healthy subjects (ages 22–37, 50 females) participated in 1 of 4 laboratory studies, each involving a baseline sleep opportunity (10h TIB) followed by at least 38h of extended wakefulness. The 10min PVT was administered every 2h of scheduled wakefulness. Thirty-six metrics were calculated for each PVT bout. Principal component analysis (PCA) and mixed-effects ANOVA were used to analyze the data.
Results
A total of 1,034 test bouts were completed. PCA indicated that there were four distinct dimensions among the 36 outcome metrics, with some metrics associating with more than one dimension. Dimension 1 captured response slowing; dimensions 2 and 3 captured response variability; and dimension 4 captured premature responses (false starts). Dimension 3 captured PVT metrics that showed no reliable sensitivity to sleep deprivation, and this dimension was therefore discarded. Dimensions 1, 2 and 4 exhibited stereotypical profiles of change over time (F10,980>4.5, p |
| doi_str_mv | 10.1093/sleep/zsy061.168 |
| format | article |
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Introduction
The PVT measures sustained attention through speeded responses to rolling millisecond counter stimuli, which appear at random 2-10s intervals across the 10min task. Performance impairment on the PVT has been quantified using a variety of outcome metrics that describe aspects of the response time (RT) distribution. We investigated whether PVT metrics used in the literature reflect essentially the same or different aspects of performance impairment due to sleep loss.
Methods
N=99 healthy subjects (ages 22–37, 50 females) participated in 1 of 4 laboratory studies, each involving a baseline sleep opportunity (10h TIB) followed by at least 38h of extended wakefulness. The 10min PVT was administered every 2h of scheduled wakefulness. Thirty-six metrics were calculated for each PVT bout. Principal component analysis (PCA) and mixed-effects ANOVA were used to analyze the data.
Results
A total of 1,034 test bouts were completed. PCA indicated that there were four distinct dimensions among the 36 outcome metrics, with some metrics associating with more than one dimension. Dimension 1 captured response slowing; dimensions 2 and 3 captured response variability; and dimension 4 captured premature responses (false starts). Dimension 3 captured PVT metrics that showed no reliable sensitivity to sleep deprivation, and this dimension was therefore discarded. Dimensions 1, 2 and 4 exhibited stereotypical profiles of change over time (F10,980>4.5, p<0.001) reflecting the interaction between homeostatic and circadian processes in performance impairment during sleep deprivation.
Conclusion
Different PVT metrics used in the published literature captured multiple, dissociable aspects of performance impairment during sleep deprivation: response slowing, response variability, and premature responding. This finding suggests that different PVT metrics may capture performance impairment in distinct sets of cognitive processes during sleep deprivation.
Support (If Any)
NIH grants R21CA167691 and R01HL105768, ONR grant N00014-13–0063, and FAA grant DTFAAC-11-A-00003.</description><identifier>ISSN: 0161-8105</identifier><identifier>EISSN: 1550-9109</identifier><identifier>DOI: 10.1093/sleep/zsy061.168</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Principal components analysis ; Sleep deprivation</subject><ispartof>Sleep (New York, N.Y.), 2018-04, Vol.41 (suppl_1), p.A66-A67</ispartof><rights>Sleep Research Society 2018. Published by Oxford University Press [on behalf of the Sleep Research Society]. All rights reserved. For permissions, please email: journals.permissions@oup.com 2018</rights><rights>Copyright © 2018 Sleep Research Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,786,790,1591,27957,27958</link.rule.ids></links><search><creatorcontrib>Riedy, S M</creatorcontrib><creatorcontrib>Van Dongen, H</creatorcontrib><title>0169 Distinct Dimensions in Psychomotor Vigilance Test (PVT) Metrics</title><title>Sleep (New York, N.Y.)</title><description>Abstract
Introduction
The PVT measures sustained attention through speeded responses to rolling millisecond counter stimuli, which appear at random 2-10s intervals across the 10min task. Performance impairment on the PVT has been quantified using a variety of outcome metrics that describe aspects of the response time (RT) distribution. We investigated whether PVT metrics used in the literature reflect essentially the same or different aspects of performance impairment due to sleep loss.
Methods
N=99 healthy subjects (ages 22–37, 50 females) participated in 1 of 4 laboratory studies, each involving a baseline sleep opportunity (10h TIB) followed by at least 38h of extended wakefulness. The 10min PVT was administered every 2h of scheduled wakefulness. Thirty-six metrics were calculated for each PVT bout. Principal component analysis (PCA) and mixed-effects ANOVA were used to analyze the data.
Results
A total of 1,034 test bouts were completed. PCA indicated that there were four distinct dimensions among the 36 outcome metrics, with some metrics associating with more than one dimension. Dimension 1 captured response slowing; dimensions 2 and 3 captured response variability; and dimension 4 captured premature responses (false starts). Dimension 3 captured PVT metrics that showed no reliable sensitivity to sleep deprivation, and this dimension was therefore discarded. Dimensions 1, 2 and 4 exhibited stereotypical profiles of change over time (F10,980>4.5, p<0.001) reflecting the interaction between homeostatic and circadian processes in performance impairment during sleep deprivation.
Conclusion
Different PVT metrics used in the published literature captured multiple, dissociable aspects of performance impairment during sleep deprivation: response slowing, response variability, and premature responding. This finding suggests that different PVT metrics may capture performance impairment in distinct sets of cognitive processes during sleep deprivation.
Support (If Any)
NIH grants R21CA167691 and R01HL105768, ONR grant N00014-13–0063, and FAA grant DTFAAC-11-A-00003.</description><subject>Principal components analysis</subject><subject>Sleep deprivation</subject><issn>0161-8105</issn><issn>1550-9109</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqFUD1PwzAQtRBIlMLOaIkFhNL64sSxR9TyJRXRIXS1EtsBV20c7GQovx5D2Jneu7v37k4PoUsgMyCCzsPOmG7-FQ6EwQwYP0ITyHOSiDg9RhMCDBIOJD9FZyFsSawzQSdoGYnASxt626o-kr1pg3VtwLbF63BQH27veufxxr7bXdUqg0sTeny93pQ3-MX03qpwjk6aahfMxR9O0dvDfbl4Slavj8-Lu1WiICt4opQGLbgueK10rUAZpSKIFLiuC5Y3ogGqaVoJakStq6yqU8NZI4AWuo7dKboa93befQ7xDbl1g2_jSZkSyhjjIi-iiowq5V0I3jSy83Zf-YMEIn-ykr9ZyTErGbOKltvR4obuf_U3EYltVw</recordid><startdate>20180427</startdate><enddate>20180427</enddate><creator>Riedy, S M</creator><creator>Van Dongen, H</creator><general>Oxford University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope></search><sort><creationdate>20180427</creationdate><title>0169 Distinct Dimensions in Psychomotor Vigilance Test (PVT) Metrics</title><author>Riedy, S M ; Van Dongen, H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1478-ccd1d98d78bcdbc1ceccbc19218db765f9f13d32a93e9bda4ab2e86f9137dba93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Principal components analysis</topic><topic>Sleep deprivation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Riedy, S M</creatorcontrib><creatorcontrib>Van Dongen, H</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><jtitle>Sleep (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Riedy, S M</au><au>Van Dongen, H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>0169 Distinct Dimensions in Psychomotor Vigilance Test (PVT) Metrics</atitle><jtitle>Sleep (New York, N.Y.)</jtitle><date>2018-04-27</date><risdate>2018</risdate><volume>41</volume><issue>suppl_1</issue><spage>A66</spage><epage>A67</epage><pages>A66-A67</pages><issn>0161-8105</issn><eissn>1550-9109</eissn><abstract>Abstract
Introduction
The PVT measures sustained attention through speeded responses to rolling millisecond counter stimuli, which appear at random 2-10s intervals across the 10min task. Performance impairment on the PVT has been quantified using a variety of outcome metrics that describe aspects of the response time (RT) distribution. We investigated whether PVT metrics used in the literature reflect essentially the same or different aspects of performance impairment due to sleep loss.
Methods
N=99 healthy subjects (ages 22–37, 50 females) participated in 1 of 4 laboratory studies, each involving a baseline sleep opportunity (10h TIB) followed by at least 38h of extended wakefulness. The 10min PVT was administered every 2h of scheduled wakefulness. Thirty-six metrics were calculated for each PVT bout. Principal component analysis (PCA) and mixed-effects ANOVA were used to analyze the data.
Results
A total of 1,034 test bouts were completed. PCA indicated that there were four distinct dimensions among the 36 outcome metrics, with some metrics associating with more than one dimension. Dimension 1 captured response slowing; dimensions 2 and 3 captured response variability; and dimension 4 captured premature responses (false starts). Dimension 3 captured PVT metrics that showed no reliable sensitivity to sleep deprivation, and this dimension was therefore discarded. Dimensions 1, 2 and 4 exhibited stereotypical profiles of change over time (F10,980>4.5, p<0.001) reflecting the interaction between homeostatic and circadian processes in performance impairment during sleep deprivation.
Conclusion
Different PVT metrics used in the published literature captured multiple, dissociable aspects of performance impairment during sleep deprivation: response slowing, response variability, and premature responding. This finding suggests that different PVT metrics may capture performance impairment in distinct sets of cognitive processes during sleep deprivation.
Support (If Any)
NIH grants R21CA167691 and R01HL105768, ONR grant N00014-13–0063, and FAA grant DTFAAC-11-A-00003.</abstract><cop>US</cop><pub>Oxford University Press</pub><doi>10.1093/sleep/zsy061.168</doi><oa>free_for_read</oa></addata></record> |
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| ispartof | Sleep (New York, N.Y.), 2018-04, Vol.41 (suppl_1), p.A66-A67 |
| issn | 0161-8105 1550-9109 |
| language | eng |
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| source | Oxford University Press; Alma/SFX Local Collection |
| subjects | Principal components analysis Sleep deprivation |
| title | 0169 Distinct Dimensions in Psychomotor Vigilance Test (PVT) Metrics |
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