Sleep has no critical role in implicit motor sequence learning in young and old adults View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-03

AUTHORS

Dezso Nemeth, Karolina Janacsek, Zsuzsa Londe, Michael T. Ullman, Darlene V. Howard, James H. Howard

ABSTRACT

The influence of sleep on motor skill consolidation has been a research topic of increasing interest. In this study, we distinguished general skill learning from sequence-specific learning in a probabilistic implicit sequence learning task (alternating serial reaction time) in young and old adults before and after a 12-h offline interval which did or did not contain sleep (p.m.-a.m. and a.m.-p.m. groups, respectively). The results showed that general skill learning, as assessed via overall reaction time, improved offline in both the young and older groups, with the young group improving more than the old. However, the improvement was not sleep-dependent, in that there was no difference between the a.m.-p.m. and p.m.-a.m. groups. We did not find sequence-specific offline improvement in either age group for the a.m.-either p.m. or p.m.-a.m. groups, suggesting that consolidation of this kind of implicit motor sequence learning may not be influenced by sleep. More... »

PAGES

351-358

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00221-009-2024-x

DOI

http://dx.doi.org/10.1007/s00221-009-2024-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1044187746

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/19795111


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1701", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology and Cognitive Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Data Interpretation, Statistical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Memory", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Motor Skills", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reaction Time", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Serial Learning", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sleep", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Szeged", 
          "id": "https://www.grid.ac/institutes/grid.9008.1", 
          "name": [
            "Brain and Language Lab, Department of Neuroscience, Georgetown University, Washington, DC, USA", 
            "Institute of Psychology, University of Szeged, Egyetem u. 2, 6722, Szeged, Hungary"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nemeth", 
        "givenName": "Dezso", 
        "id": "sg:person.01024360304.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024360304.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Szeged", 
          "id": "https://www.grid.ac/institutes/grid.9008.1", 
          "name": [
            "Institute of Psychology, University of Szeged, Egyetem u. 2, 6722, Szeged, Hungary"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Janacsek", 
        "givenName": "Karolina", 
        "id": "sg:person.01026236347.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026236347.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California Los Angeles", 
          "id": "https://www.grid.ac/institutes/grid.19006.3e", 
          "name": [
            "Department of Applied Linguistics, University of California, Los Angeles, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Londe", 
        "givenName": "Zsuzsa", 
        "id": "sg:person.01371263704.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371263704.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Georgetown University", 
          "id": "https://www.grid.ac/institutes/grid.213910.8", 
          "name": [
            "Brain and Language Lab, Department of Neuroscience, Georgetown University, Washington, DC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ullman", 
        "givenName": "Michael T.", 
        "id": "sg:person.01227175114.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227175114.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Georgetown University", 
          "id": "https://www.grid.ac/institutes/grid.213910.8", 
          "name": [
            "Department of Psychology, Georgetown University, Washington, DC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Howard", 
        "givenName": "Darlene V.", 
        "id": "sg:person.0602471717.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602471717.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Catholic University of America", 
          "id": "https://www.grid.ac/institutes/grid.39936.36", 
          "name": [
            "Department of Psychology, Georgetown University, Washington, DC, USA", 
            "Department of Psychology, The Catholic University of America, Washington, DC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Howard", 
        "givenName": "James H.", 
        "id": "sg:person.01257762617.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257762617.22"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1523/jneurosci.1851-05.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001806058"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2522/ptj.20080310", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003619898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/0882-7974.4.3.357", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004520590"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/17470210701210999", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004765239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/17470210701210999", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004765239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/0882-7974.12.4.634", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005786393"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neulet.2008.12.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008919524"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0896-6273(03)00123-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010743636"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tins.2005.10.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011912433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tins.2005.10.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011912433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/lm.569407", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012748799"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0166-2236(99)01439-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013934867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0896-6273(02)00746-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020301350"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/0882-7974.19.1.79", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021925138"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00221-009-1748-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022391544", 
          "https://doi.org/10.1007/s00221-009-1748-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00221-009-1748-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022391544", 
          "https://doi.org/10.1007/s00221-009-1748-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00221-009-1748-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022391544", 
          "https://doi.org/10.1007/s00221-009-1748-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.2062-07.2007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024523303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/0882-7974.7.2.232", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024542258"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cub.2006.03.094", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025724504"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/geronb/62.2.p98", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029280191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/0894-4105.18.1.124", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029561632"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cub.2004.01.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031099604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.182178199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032646394"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbr.2008.11.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034203900"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0959-4388(02)00307-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038778570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00426-003-0163-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046572373", 
          "https://doi.org/10.1007/s00426-003-0163-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00426-003-0163-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046572373", 
          "https://doi.org/10.1007/s00426-003-0163-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuron.2008.02.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047326191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3758/bf03202765", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048011390", 
          "https://doi.org/10.3758/bf03202765"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00419678", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048016469", 
          "https://doi.org/10.1007/bf00419678"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00419678", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048016469", 
          "https://doi.org/10.1007/bf00419678"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/0894-4105.22.5.563", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052029396"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbr.2008.09.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052236419"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.290.5490.350", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062571710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1310/tsr1501-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064988829"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-03", 
    "datePublishedReg": "2010-03-01", 
    "description": "The influence of sleep on motor skill consolidation has been a research topic of increasing interest. In this study, we distinguished general skill learning from sequence-specific learning in a probabilistic implicit sequence learning task (alternating serial reaction time) in young and old adults before and after a 12-h offline interval which did or did not contain sleep (p.m.-a.m. and a.m.-p.m. groups, respectively). The results showed that general skill learning, as assessed via overall reaction time, improved offline in both the young and older groups, with the young group improving more than the old. However, the improvement was not sleep-dependent, in that there was no difference between the a.m.-p.m. and p.m.-a.m. groups. We did not find sequence-specific offline improvement in either age group for the a.m.-either p.m. or p.m.-a.m. groups, suggesting that consolidation of this kind of implicit motor sequence learning may not be influenced by sleep.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00221-009-2024-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.4188660", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1005581", 
        "issn": [
          "0014-4819", 
          "1432-1106"
        ], 
        "name": "Experimental Brain Research", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "201"
      }
    ], 
    "name": "Sleep has no critical role in implicit motor sequence learning in young and old adults", 
    "pagination": "351-358", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d27b3f0b028955e25eb6e3f29206c4c7a56f10c324a37251e2f60d616088cbbb"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "19795111"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0043312"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00221-009-2024-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1044187746"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00221-009-2024-x", 
      "https://app.dimensions.ai/details/publication/pub.1044187746"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:28", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000373_0000000373/records_13078_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00221-009-2024-x"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00221-009-2024-x'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00221-009-2024-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00221-009-2024-x'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00221-009-2024-x'


 

This table displays all metadata directly associated to this object as RDF triples.

268 TRIPLES      21 PREDICATES      73 URIs      35 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00221-009-2024-x schema:about N02fdd8f2cd9f4253990b0237e5e88dc1
2 N17807e82e38d46a0a8e926971325067f
3 N43de587463654f2ab9f87bea1ca54a0e
4 N44d4b8c49df24939bf905cf10c47078d
5 N5bbed5839b42486dbfed544cdd5b386b
6 N68900ae933214d3bb871b426e43a6521
7 N71131158048b4c63ae9c0251afde9f43
8 N7da73b6f1c3748edb04a6e755cd4c335
9 N8548e94a04df4fc8a94a85d18d1cf36e
10 Nb4a512ba073f4fd1bbbb719888afd01c
11 Nbb9c0bdd18314f77a2d2da8c443b891a
12 Nd4a7752971af47acac6482e2dc567ec1
13 Nd7475cab07844b7b97d8b7efcbd59289
14 Nf3b6ca2e75e24cf68a060fd03ab32b5a
15 anzsrc-for:17
16 anzsrc-for:1701
17 schema:author N71eb05c36519432c908b3b1dd9b27728
18 schema:citation sg:pub.10.1007/bf00419678
19 sg:pub.10.1007/s00221-009-1748-y
20 sg:pub.10.1007/s00426-003-0163-4
21 sg:pub.10.3758/bf03202765
22 https://doi.org/10.1016/j.bbr.2008.09.034
23 https://doi.org/10.1016/j.bbr.2008.11.012
24 https://doi.org/10.1016/j.cub.2004.01.027
25 https://doi.org/10.1016/j.cub.2006.03.094
26 https://doi.org/10.1016/j.neulet.2008.12.040
27 https://doi.org/10.1016/j.neuron.2008.02.008
28 https://doi.org/10.1016/j.tins.2005.10.003
29 https://doi.org/10.1016/s0166-2236(99)01439-3
30 https://doi.org/10.1016/s0896-6273(02)00746-8
31 https://doi.org/10.1016/s0896-6273(03)00123-5
32 https://doi.org/10.1016/s0959-4388(02)00307-0
33 https://doi.org/10.1037/0882-7974.12.4.634
34 https://doi.org/10.1037/0882-7974.19.1.79
35 https://doi.org/10.1037/0882-7974.4.3.357
36 https://doi.org/10.1037/0882-7974.7.2.232
37 https://doi.org/10.1037/0894-4105.18.1.124
38 https://doi.org/10.1037/0894-4105.22.5.563
39 https://doi.org/10.1073/pnas.182178199
40 https://doi.org/10.1080/17470210701210999
41 https://doi.org/10.1093/geronb/62.2.p98
42 https://doi.org/10.1101/lm.569407
43 https://doi.org/10.1126/science.290.5490.350
44 https://doi.org/10.1310/tsr1501-1
45 https://doi.org/10.1523/jneurosci.1851-05.2005
46 https://doi.org/10.1523/jneurosci.2062-07.2007
47 https://doi.org/10.2522/ptj.20080310
48 schema:datePublished 2010-03
49 schema:datePublishedReg 2010-03-01
50 schema:description The influence of sleep on motor skill consolidation has been a research topic of increasing interest. In this study, we distinguished general skill learning from sequence-specific learning in a probabilistic implicit sequence learning task (alternating serial reaction time) in young and old adults before and after a 12-h offline interval which did or did not contain sleep (p.m.-a.m. and a.m.-p.m. groups, respectively). The results showed that general skill learning, as assessed via overall reaction time, improved offline in both the young and older groups, with the young group improving more than the old. However, the improvement was not sleep-dependent, in that there was no difference between the a.m.-p.m. and p.m.-a.m. groups. We did not find sequence-specific offline improvement in either age group for the a.m.-either p.m. or p.m.-a.m. groups, suggesting that consolidation of this kind of implicit motor sequence learning may not be influenced by sleep.
51 schema:genre research_article
52 schema:inLanguage en
53 schema:isAccessibleForFree false
54 schema:isPartOf N3271a061b84d48c2b66a623e140be9c5
55 Nac703f152e5c4afdba517a6e32c15916
56 sg:journal.1005581
57 schema:name Sleep has no critical role in implicit motor sequence learning in young and old adults
58 schema:pagination 351-358
59 schema:productId N0b5faa473a5849cc8b4b7b01bd03e8ab
60 N0f34241f3be540deacc47ac82a52aef1
61 N436b0c6c71ad409c9e372d38f33657cf
62 Nac36bee9304a482689880dbf7c7e1e39
63 Nd046081f7e6c4483a6efefa24eb9de0e
64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044187746
65 https://doi.org/10.1007/s00221-009-2024-x
66 schema:sdDatePublished 2019-04-11T14:28
67 schema:sdLicense https://scigraph.springernature.com/explorer/license/
68 schema:sdPublisher N5aced4f8d57f48f7bb3a26e27c2314bb
69 schema:url http://link.springer.com/10.1007%2Fs00221-009-2024-x
70 sgo:license sg:explorer/license/
71 sgo:sdDataset articles
72 rdf:type schema:ScholarlyArticle
73 N02fdd8f2cd9f4253990b0237e5e88dc1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Male
75 rdf:type schema:DefinedTerm
76 N0b5faa473a5849cc8b4b7b01bd03e8ab schema:name doi
77 schema:value 10.1007/s00221-009-2024-x
78 rdf:type schema:PropertyValue
79 N0f34241f3be540deacc47ac82a52aef1 schema:name readcube_id
80 schema:value d27b3f0b028955e25eb6e3f29206c4c7a56f10c324a37251e2f60d616088cbbb
81 rdf:type schema:PropertyValue
82 N17807e82e38d46a0a8e926971325067f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Aging
84 rdf:type schema:DefinedTerm
85 N3271a061b84d48c2b66a623e140be9c5 schema:volumeNumber 201
86 rdf:type schema:PublicationVolume
87 N436b0c6c71ad409c9e372d38f33657cf schema:name pubmed_id
88 schema:value 19795111
89 rdf:type schema:PropertyValue
90 N43de587463654f2ab9f87bea1ca54a0e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Middle Aged
92 rdf:type schema:DefinedTerm
93 N44d4b8c49df24939bf905cf10c47078d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Memory
95 rdf:type schema:DefinedTerm
96 N50a0dd75c800422cb31bfe1d33232f5c rdf:first sg:person.01026236347.92
97 rdf:rest Nedcd6869d2254c2bbbe4e6f80f32861c
98 N5aced4f8d57f48f7bb3a26e27c2314bb schema:name Springer Nature - SN SciGraph project
99 rdf:type schema:Organization
100 N5bbed5839b42486dbfed544cdd5b386b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Data Interpretation, Statistical
102 rdf:type schema:DefinedTerm
103 N68900ae933214d3bb871b426e43a6521 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Aged, 80 and over
105 rdf:type schema:DefinedTerm
106 N71131158048b4c63ae9c0251afde9f43 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Serial Learning
108 rdf:type schema:DefinedTerm
109 N71eb05c36519432c908b3b1dd9b27728 rdf:first sg:person.01024360304.35
110 rdf:rest N50a0dd75c800422cb31bfe1d33232f5c
111 N7da73b6f1c3748edb04a6e755cd4c335 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Humans
113 rdf:type schema:DefinedTerm
114 N8548e94a04df4fc8a94a85d18d1cf36e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Reaction Time
116 rdf:type schema:DefinedTerm
117 N9e5d7cd9612645f1899a56cf310e2a3c rdf:first sg:person.01227175114.32
118 rdf:rest Nf5d79a4f50b7429bbc6ac07f0f8dcc02
119 Nac36bee9304a482689880dbf7c7e1e39 schema:name dimensions_id
120 schema:value pub.1044187746
121 rdf:type schema:PropertyValue
122 Nac703f152e5c4afdba517a6e32c15916 schema:issueNumber 2
123 rdf:type schema:PublicationIssue
124 Nb4a512ba073f4fd1bbbb719888afd01c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Young Adult
126 rdf:type schema:DefinedTerm
127 Nbb9c0bdd18314f77a2d2da8c443b891a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Sleep
129 rdf:type schema:DefinedTerm
130 Nd046081f7e6c4483a6efefa24eb9de0e schema:name nlm_unique_id
131 schema:value 0043312
132 rdf:type schema:PropertyValue
133 Nd4a7752971af47acac6482e2dc567ec1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Female
135 rdf:type schema:DefinedTerm
136 Nd7475cab07844b7b97d8b7efcbd59289 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Aged
138 rdf:type schema:DefinedTerm
139 Nedcd6869d2254c2bbbe4e6f80f32861c rdf:first sg:person.01371263704.12
140 rdf:rest N9e5d7cd9612645f1899a56cf310e2a3c
141 Nf3b6ca2e75e24cf68a060fd03ab32b5a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Motor Skills
143 rdf:type schema:DefinedTerm
144 Nf5d79a4f50b7429bbc6ac07f0f8dcc02 rdf:first sg:person.0602471717.03
145 rdf:rest Nfc107e0770894b4e9b1b648b2270b8a7
146 Nfc107e0770894b4e9b1b648b2270b8a7 rdf:first sg:person.01257762617.22
147 rdf:rest rdf:nil
148 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
149 schema:name Psychology and Cognitive Sciences
150 rdf:type schema:DefinedTerm
151 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
152 schema:name Psychology
153 rdf:type schema:DefinedTerm
154 sg:grant.4188660 http://pending.schema.org/fundedItem sg:pub.10.1007/s00221-009-2024-x
155 rdf:type schema:MonetaryGrant
156 sg:journal.1005581 schema:issn 0014-4819
157 1432-1106
158 schema:name Experimental Brain Research
159 rdf:type schema:Periodical
160 sg:person.01024360304.35 schema:affiliation https://www.grid.ac/institutes/grid.9008.1
161 schema:familyName Nemeth
162 schema:givenName Dezso
163 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024360304.35
164 rdf:type schema:Person
165 sg:person.01026236347.92 schema:affiliation https://www.grid.ac/institutes/grid.9008.1
166 schema:familyName Janacsek
167 schema:givenName Karolina
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026236347.92
169 rdf:type schema:Person
170 sg:person.01227175114.32 schema:affiliation https://www.grid.ac/institutes/grid.213910.8
171 schema:familyName Ullman
172 schema:givenName Michael T.
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227175114.32
174 rdf:type schema:Person
175 sg:person.01257762617.22 schema:affiliation https://www.grid.ac/institutes/grid.39936.36
176 schema:familyName Howard
177 schema:givenName James H.
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257762617.22
179 rdf:type schema:Person
180 sg:person.01371263704.12 schema:affiliation https://www.grid.ac/institutes/grid.19006.3e
181 schema:familyName Londe
182 schema:givenName Zsuzsa
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371263704.12
184 rdf:type schema:Person
185 sg:person.0602471717.03 schema:affiliation https://www.grid.ac/institutes/grid.213910.8
186 schema:familyName Howard
187 schema:givenName Darlene V.
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602471717.03
189 rdf:type schema:Person
190 sg:pub.10.1007/bf00419678 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048016469
191 https://doi.org/10.1007/bf00419678
192 rdf:type schema:CreativeWork
193 sg:pub.10.1007/s00221-009-1748-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1022391544
194 https://doi.org/10.1007/s00221-009-1748-y
195 rdf:type schema:CreativeWork
196 sg:pub.10.1007/s00426-003-0163-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046572373
197 https://doi.org/10.1007/s00426-003-0163-4
198 rdf:type schema:CreativeWork
199 sg:pub.10.3758/bf03202765 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048011390
200 https://doi.org/10.3758/bf03202765
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1016/j.bbr.2008.09.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052236419
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/j.bbr.2008.11.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034203900
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/j.cub.2004.01.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031099604
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/j.cub.2006.03.094 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025724504
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/j.neulet.2008.12.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008919524
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/j.neuron.2008.02.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047326191
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/j.tins.2005.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011912433
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/s0166-2236(99)01439-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013934867
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/s0896-6273(02)00746-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020301350
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/s0896-6273(03)00123-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010743636
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1016/s0959-4388(02)00307-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038778570
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1037/0882-7974.12.4.634 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005786393
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1037/0882-7974.19.1.79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021925138
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1037/0882-7974.4.3.357 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004520590
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1037/0882-7974.7.2.232 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024542258
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1037/0894-4105.18.1.124 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029561632
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1037/0894-4105.22.5.563 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052029396
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1073/pnas.182178199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032646394
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1080/17470210701210999 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004765239
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1093/geronb/62.2.p98 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029280191
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1101/lm.569407 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012748799
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1126/science.290.5490.350 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062571710
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1310/tsr1501-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064988829
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1523/jneurosci.1851-05.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001806058
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1523/jneurosci.2062-07.2007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024523303
251 rdf:type schema:CreativeWork
252 https://doi.org/10.2522/ptj.20080310 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003619898
253 rdf:type schema:CreativeWork
254 https://www.grid.ac/institutes/grid.19006.3e schema:alternateName University of California Los Angeles
255 schema:name Department of Applied Linguistics, University of California, Los Angeles, USA
256 rdf:type schema:Organization
257 https://www.grid.ac/institutes/grid.213910.8 schema:alternateName Georgetown University
258 schema:name Brain and Language Lab, Department of Neuroscience, Georgetown University, Washington, DC, USA
259 Department of Psychology, Georgetown University, Washington, DC, USA
260 rdf:type schema:Organization
261 https://www.grid.ac/institutes/grid.39936.36 schema:alternateName Catholic University of America
262 schema:name Department of Psychology, Georgetown University, Washington, DC, USA
263 Department of Psychology, The Catholic University of America, Washington, DC, USA
264 rdf:type schema:Organization
265 https://www.grid.ac/institutes/grid.9008.1 schema:alternateName University of Szeged
266 schema:name Brain and Language Lab, Department of Neuroscience, Georgetown University, Washington, DC, USA
267 Institute of Psychology, University of Szeged, Egyetem u. 2, 6722, Szeged, Hungary
268 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...