Literature DB >> 24928473

Maintenance and manipulation of object sequences in working memory: a lifespan study.

Francesca Federico1, Franco Delogu, Antonino Raffone.   

Abstract

Many studied reported that working memory components receive remarkable changes during lifespan. In order to better investigate this, we evaluated working memory components on human subjects belonging to five groups (10 subjects each) at different ages 6, 8 and 10 years old, young adult (age) and old adult (age). Our pattern of results shows a major transition in object sequence manipulation performance between ages 8 and 10 years. If related to young adults results, both 10-year-old children and old adults differed in accuracy and RT (specificare cosa significa) in both maintenance and manipulation conditions. In particular, young adults and old adults differ in RTs in the manipulation condition. Our results also suggest that a change in response strategy from 6 to 8 years of age, to prioritize accuracy may be present. Our findings appear consistent with recent neuroscientific findings, and lead to novel predictions.

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Year:  2014        PMID: 24928473     DOI: 10.1007/s10072-014-1851-0

Source DB:  PubMed          Journal:  Neurol Sci        ISSN: 1590-1874            Impact factor:   3.307


  24 in total

1.  Brain development during childhood and adolescence: a longitudinal MRI study.

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2.  Cognitive approaches to the development of short-term memory.

Authors: 
Journal:  Trends Cogn Sci       Date:  1999-11       Impact factor: 20.229

3.  Direct comparison of prefrontal cortex regions engaged by working and long-term memory tasks.

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Journal:  Neuroimage       Date:  2001-07       Impact factor: 6.556

4.  What limits children's working memory span? Theoretical accounts and applications for scholastic development.

Authors:  G J Hitch; J N Towse; U Hutton
Journal:  J Exp Psychol Gen       Date:  2001-06

5.  Longitudinal mapping of cortical thickness and brain growth in normal children.

Authors:  Elizabeth R Sowell; Paul M Thompson; Christiana M Leonard; Suzanne E Welcome; Eric Kan; Arthur W Toga
Journal:  J Neurosci       Date:  2004-09-22       Impact factor: 6.167

6.  Neural correlates of switching set as measured in fast, event-related functional magnetic resonance imaging.

Authors:  Anna B Smith; Eric Taylor; Mick Brammer; Katya Rubia
Journal:  Hum Brain Mapp       Date:  2004-04       Impact factor: 5.038

7.  Neurocognitive development of the ability to manipulate information in working memory.

Authors:  Eveline A Crone; Carter Wendelken; Sarah Donohue; Linda van Leijenhorst; Silvia A Bunge
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-31       Impact factor: 11.205

Review 8.  A theory of cognitive control, aging cognition, and neuromodulation.

Authors:  Todd S Braver; Deanna M Barch
Journal:  Neurosci Biobehav Rev       Date:  2002-11       Impact factor: 8.989

9.  Planning and spatial working memory: a positron emission tomography study in humans.

Authors:  A M Owen; J Doyon; M Petrides; A C Evans
Journal:  Eur J Neurosci       Date:  1996-02       Impact factor: 3.386

10.  Interhemispheric interaction during childhood: I. Neurologically intact children.

Authors:  M T Banich; A M Passarotti; D Janes
Journal:  Dev Neuropsychol       Date:  2000       Impact factor: 2.253

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  3 in total

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Authors:  Jéssica Alves Ribeiro; Francisco Victor Costa Marinho; Kaline Rocha; Francisco Magalhães; Abrahão Fontes Baptista; Bruna Velasques; Pedro Ribeiro; Mauricio Cagy; Victor Hugo Bastos; Daya Gupta; Silmar Teixeira
Journal:  Neurol Sci       Date:  2018-01-12       Impact factor: 3.307

2.  Neural basis of working memory in ADHD: Load versus complexity.

Authors:  Prerona Mukherjee; Tadeus Hartanto; Ana-Maria Iosif; J Faye Dixon; Stephen P Hinshaw; Murat Pakyurek; Wouter van den Bos; Amanda E Guyer; Samuel M McClure; Julie B Schweitzer; Catherine Fassbender
Journal:  Neuroimage Clin       Date:  2021-04-03       Impact factor: 4.881

3.  The relationship between different exercise modes and visuospatial working memory in older adults: a cross-sectional study.

Authors:  Wei Guo; Biye Wang; Yue Lu; Qin Zhu; Zhihao Shi; Jie Ren
Journal:  PeerJ       Date:  2016-07-20       Impact factor: 2.984

  3 in total

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