Evidence map›Paper›PMID 34450244›Full record

ArticleNeurobiology of learning and memory2021

Encoding and consolidation of motor sequence learning in young and older adults.

Ahren B Fitzroy, Kyle A Kainec, Jeehye Seo, Rebecca M C Spencer

Open access · greenAbstract read
In one paragraph

Article in Neurobiology of learning and memory, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Ahren B FitzroyNeuroscience & Behavior Program, University of Massachusetts Amherst, United States; Department of Psychological & Brain Sciences, University of Massachusetts Amherst, United States. Electronic address: ahren.fitzroy@gmail.com.
Kyle A KainecNeuroscience & Behavior Program, University of Massachusetts Amherst, United States; Department of Psychological & Brain Sciences, University of Massachusetts Amherst, United States. Electronic address: kkainec@umass.edu.
Jeehye SeoNeuroscience & Behavior Program, University of Massachusetts Amherst, United States; Department of Psychological & Brain Sciences, University of Massachusetts Amherst, United States. Electronic address: amoir710@gmail.com.
Rebecca M C SpencerNeuroscience & Behavior Program, University of Massachusetts Amherst, United States; Department of Psychological & Brain Sciences, University of Massachusetts Amherst, United States; Institute for Applied Life Sciences, University of Massachusetts Amherst, United States. Electronic address: rspencer@umass.edu.
University of Massachusetts Amherst · US

Funding

What is sleep's role in Alzheimer's disease? Insight from healthy agingR01AG040133 · NIA · UNIVERSITY OF MASSACHUSETTS AMHERST · PI SPENCER, REBECCA M C · 2012 to 2022
$4.2M
NIA NIH HHS R01 AG040133
6 · The paper itself

Abstract

Sleep benefits motor memory consolidation in young adults, but this benefit is reduced in older adults. Here we sought to understand whether differences in the neural bases of encoding between young and older adults contribute to aging-related differences in sleep-dependent consolidation of an explicit variant of the serial reaction time task (SRTT). Seventeen young and 18 older adults completed two sessions (nap, wake) one week apart. In the MRI, participants learned the SRTT. Following an afternoon interval either awake or with a nap (recorded with high-density polysomnography), performance on the SRTT was reassessed in the MRI. Imaging and behavioral results from SRTT performance showed clear sleep-dependent consolidation of motor sequence learning in older adults after a daytime nap, compared to an equal interval awake. Young adults, however, showed brain activity and behavior during encoding consistent with high SRTT performance prior to the sleep interval, and did not show further sleep-dependent performance improvements. Young adults did show reduced cortical activity following sleep, suggesting potential systems-level consolidation related to automatization. Sleep physiology data showed that sigma activity topography was affected by hippocampal and cortical activation prior to the nap in both age groups, and suggested a role of theta activity in sleep-dependent automatization in young adults. These results suggest that previously observed aging-related sleep-dependent consolidation deficits may be driven by aging-related deficiencies in fast learning processes. Here we demonstrate that when sufficient encoding strength is reached with additional training, older adults demonstrate intact sleep-dependent consolidation of motor sequence learning.

Indexed as

Memory ConsolidationMotor SkillsAdolescentAdultAgedAge FactorsBrainFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingPolysomnographySerial LearningSleepAgingConsolidationEncodingfMRIMotor learningSleep

Identifiers

PMID34450244
PMCPMC8595672
OpenAlexW3195864972

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.