Literature DB >> 23357076

Isolating age-group differences in working memory load-related neural activity: assessing the contribution of working memory capacity using a partial-trial fMRI method.

Ilana J Bennett1, Hannah G Rivera, Bart Rypma.   

Abstract

Previous studies examining age-group differences in working memory load-related neural activity have yielded mixed results. When present, age-group differences in working memory capacity are frequently proposed to underlie these neural effects. However, direct relationships between working memory capacity and working memory load-related activity have only been observed in younger adults. These relationships remain untested in healthy aging. Therefore, the present study examined patterns of working memory load-related activity in 22 younger and 20 older adults and assessed the contribution of working memory capacity to these load-related effects. Participants performed a partial-trial delayed response item recognition task during functional magnetic resonance imaging. In this task, participants encoded either 2 or 6 letters, maintained them during a delay, and then indicated whether a probe was present in the memory set. Behavioral results revealed faster and more accurate responses to load 2 versus 6, with age-group differences in this load condition effect for the accuracy measure. Neuroimaging results revealed one region (medial superior frontal gyrus) that showed age-group differences in load-related activity during the retrieval period, with less (greater) neural activity for the low versus high load condition in younger (older) adults. Furthermore, for older adults, load-related activity did not vary as a function of working memory capacity. Thus, working memory-related activity varies with healthy aging, but these patterns are not due solely to working memory capacity. Neurocognitive aging theories that feature capacity will need to account for these results.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 23357076      PMCID: PMC3602125          DOI: 10.1016/j.neuroimage.2013.01.030

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  43 in total

1.  Age differences in the frontal lateralization of verbal and spatial working memory revealed by PET.

Authors:  P A Reuter-Lorenz; J Jonides; E E Smith; A Hartley; A Miller; C Marshuetz; R A Koeppe
Journal:  J Cogn Neurosci       Date:  2000-01       Impact factor: 3.225

2.  Improved optimization for the robust and accurate linear registration and motion correction of brain images.

Authors:  Mark Jenkinson; Peter Bannister; Michael Brady; Stephen Smith
Journal:  Neuroimage       Date:  2002-10       Impact factor: 6.556

3.  The influence of working-memory demand and subject performance on prefrontal cortical activity.

Authors:  Bart Rypma; Jeffrey S Berger; Mark D'Esposito
Journal:  J Cogn Neurosci       Date:  2002-07-01       Impact factor: 3.225

Review 4.  Cortical mechanisms of space-based and object-based attentional control.

Authors:  Steven Yantis; John T Serences
Journal:  Curr Opin Neurobiol       Date:  2003-04       Impact factor: 6.627

5.  Capacity limit of visual short-term memory in human posterior parietal cortex.

Authors:  J Jay Todd; René Marois
Journal:  Nature       Date:  2004-04-15       Impact factor: 49.962

Review 6.  Distracted and confused?: selective attention under load.

Authors:  Nilli Lavie
Journal:  Trends Cogn Sci       Date:  2005-02       Impact factor: 20.229

7.  Dissociable neural mechanisms supporting visual short-term memory for objects.

Authors:  Yaoda Xu; Marvin M Chun
Journal:  Nature       Date:  2005-12-28       Impact factor: 49.962

8.  Age differences in deactivation: a link to cognitive control?

Authors:  Jonas Persson; Cindy Lustig; James K Nelson; Patricia A Reuter-Lorenz
Journal:  J Cogn Neurosci       Date:  2007-06       Impact factor: 3.225

9.  When less is more and when more is more: The mediating roles of capacity and speed in brain-behavior efficiency.

Authors:  Bart Rypma; Vivek Prabhakaran
Journal:  Intelligence       Date:  2009-03-01

10.  Capacity-speed relationships in prefrontal cortex.

Authors:  Vivek Prabhakaran; Bart Rypma; Nandakumar S Narayanan; Timothy B Meier; Benjamin P Austin; Veena A Nair; Lin Naing; Lisa E Thomas; John D E Gabrieli
Journal:  PLoS One       Date:  2011-11-23       Impact factor: 3.240

View more
  16 in total

1.  Age-related increase in brain activity during task-related and -negative networks and numerical inductive reasoning.

Authors:  Li Sun; Peipeng Liang; Xiuqin Jia; Zhigang Qi; Kuncheng Li
Journal:  Int J Clin Exp Pathol       Date:  2014-08-15

2.  Neural activity during working memory encoding, maintenance, and retrieval: A network-based model and meta-analysis.

Authors:  Hongkeun Kim
Journal:  Hum Brain Mapp       Date:  2019-08-02       Impact factor: 5.038

3.  Resting-state anticorrelations between medial and lateral prefrontal cortex: association with working memory, aging, and individual differences.

Authors:  Joseph B Keller; Trey Hedden; Todd W Thompson; Sheeba A Anteraper; John D E Gabrieli; Susan Whitfield-Gabrieli
Journal:  Cortex       Date:  2014-12-13       Impact factor: 4.027

4.  Meta-analytic connectivity and behavioral parcellation of the human cerebellum.

Authors:  Michael C Riedel; Kimberly L Ray; Anthony S Dick; Matthew T Sutherland; Zachary Hernandez; P Mickle Fox; Simon B Eickhoff; Peter T Fox; Angela R Laird
Journal:  Neuroimage       Date:  2015-05-19       Impact factor: 6.556

5.  Age-related differences in brain activation during working memory updating: An fMRI study.

Authors:  Shuo Qin; Chandramallika Basak
Journal:  Neuropsychologia       Date:  2020-01-07       Impact factor: 3.139

6.  The Aging Brain and Executive Functions Revisited: Implications from Meta-analytic and Functional-Connectivity Evidence.

Authors:  Marisa K Heckner; Edna C Cieslik; Simon B Eickhoff; Julia A Camilleri; Felix Hoffstaedter; Robert Langner
Journal:  J Cogn Neurosci       Date:  2021-08-01       Impact factor: 3.225

7.  Glucose metabolism patterns: A potential index to characterize brain ageing and predict high conversion risk into cognitive impairment.

Authors:  Jiehui Jiang; Can Sheng; Guanqun Chen; Chunhua Liu; Shichen Jin; Lanlan Li; Xueyan Jiang; Ying Han
Journal:  Geroscience       Date:  2022-05-18       Impact factor: 7.713

8.  Aging modulates the oscillatory dynamics underlying successful working memory encoding and maintenance.

Authors:  Amy L Proskovec; Elizabeth Heinrichs-Graham; Tony W Wilson
Journal:  Hum Brain Mapp       Date:  2016-03-16       Impact factor: 5.038

9.  The impact of age on load-related dorsolateral prefrontal cortex activation.

Authors:  Max Toepper; Helge Gebhardt; Eva Bauer; Anke Haberkamp; Thomas Beblo; Bernd Gallhofer; Martin Driessen; Gebhard Sammer
Journal:  Front Aging Neurosci       Date:  2014-02-05       Impact factor: 5.750

10.  Neural correlates associated with successful working memory performance in older adults as revealed by spatial ICA.

Authors:  Emi Saliasi; Linda Geerligs; Monicque M Lorist; Natasha M Maurits
Journal:  PLoS One       Date:  2014-06-09       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.