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      The Ease of Language Understanding (ELU) model: theoretical, empirical, and clinical advances

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          Abstract

          Working memory is important for online language processing during conversation. We use it to maintain relevant information, to inhibit or ignore irrelevant information, and to attend to conversation selectively. Working memory helps us to keep track of and actively participate in conversation, including taking turns and following the gist. This paper examines the Ease of Language Understanding model (i.e., the ELU model, Rönnberg, 2003; Rönnberg et al., 2008) in light of new behavioral and neural findings concerning the role of working memory capacity (WMC) in uni-modal and bimodal language processing. The new ELU model is a meaning prediction system that depends on phonological and semantic interactions in rapid implicit and slower explicit processing mechanisms that both depend on WMC albeit in different ways. It is based on findings that address the relationship between WMC and (a) early attention processes in listening to speech, (b) signal processing in hearing aids and its effects on short-term memory, (c) inhibition of speech maskers and its effect on episodic long-term memory, (d) the effects of hearing impairment on episodic and semantic long-term memory, and finally, (e) listening effort. New predictions and clinical implications are outlined. Comparisons with other WMC and speech perception models are made.

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          Most cited references119

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          The cognitive neuroscience of ageing.

          The availability of neuroimaging technology has spurred a marked increase in the human cognitive neuroscience literature, including the study of cognitive ageing. Although there is a growing consensus that the ageing brain retains considerable plasticity of function, currently measured primarily by means of functional MRI, it is less clear how age differences in brain activity relate to cognitive performance. The field is also hampered by the complexity of the ageing process itself and the large number of factors that are influenced by age. In this Review, current trends and unresolved issues in the cognitive neuroscience of ageing are discussed.
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            Que PASA? The posterior-anterior shift in aging.

            A consistent finding from functional neuroimaging studies of cognitive aging is an age-related reduction in occipital activity coupled with increased frontal activity. This posterior-anterior shift in aging (PASA) has been typically attributed to functional compensation. The present functional magnetic resonance imaging sought to 1) confirm that PASA reflects the effects of aging rather than differences in task difficulty; 2) test the compensation hypothesis; and 3) investigate whether PASA generalizes to deactivations. Young and older participants were scanned during episodic retrieval and visual perceptual tasks, and age-related changes in brain activity common to both tasks were identified. The study yielded 3 main findings. First, inconsistent with a difficulty account, the PASA pattern was found across task and confidence levels when matching performance among groups. Second, supporting the compensatory hypothesis, age-related increases in frontal activity were positively correlated with performance and negatively correlated with the age-related occipital decreases. Age-related increases and correlations with parietal activity were also found. Finally, supporting the generalizability of the PASA pattern to deactivations, aging reduced deactivations in posterior midline cortex but increased deactivations in medial frontal cortex. Taken together, these findings demonstrate the validity, function, and generalizability of PASA, as well as its importance for the cognitive neuroscience of aging.
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              The generality of working memory capacity: a latent-variable approach to verbal and visuospatial memory span and reasoning.

              A latent-variable study examined whether verbal and visuospatial working memory (WM) capacity measures reflect a primarily domain-general construct by testing 236 participants in 3 span tests each of verbal WM. visuospatial WM, verbal short-term memory (STM), and visuospatial STM. as well as in tests of verbal and spatial reasoning and general fluid intelligence (Gf). Confirmatory' factor analyses and structural equation models indicated that the WM tasks largely reflected a domain-general factor, whereas STM tasks, based on the same stimuli as the WM tasks, were much more domain specific. The WM construct was a strong predictor of Gf and a weaker predictor of domain-specific reasoning, and the reverse was true for the STM construct. The findings support a domain-general view of WM capacity, in which executive-attention processes drive the broad predictive utility of WM span measures, and domain-specific storage and rehearsal processes relate more strongly to domain-specific aspects of complex cognition. ((c) 2004 APA, all rights reserved)
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                Author and article information

                Journal
                Front Syst Neurosci
                Front Syst Neurosci
                Front. Syst. Neurosci.
                Frontiers in Systems Neuroscience
                Frontiers Media S.A.
                1662-5137
                13 July 2013
                2013
                : 7
                : 31
                Affiliations
                [1] 1Department of Behavioural Sciences and Learning, Linköping University Linköping, Sweden
                [2] 2Linnaeus Centre HEAD, Swedish Institute for Disability Research, Linköping University Linköping, Sweden
                [3] 3Department of Clinical and Experimental Medicine, Linköping University Linköping, Sweden
                [4] 4Eriksholm Research Centre, Oticon A/S Snekkersten, Denmark
                [5] 5Department of Audiology/ENT and EMGO+ Institute for Health and Care Research, VU University Medical Center Amsterdam, Netherlands
                [6] 6Department of Building, Energy and Environmental Engineering, University of Gävle Gävle, Sweden
                [7] 7Department of Psychology, University of Toronto Toronto, ON, Canada
                [8] 8The Toronto Rehabilitation Institute, University Health Network Toronto, ON, Canada
                [9] 9The Rotman Research Institute, Baycrest Hospital Toronto, ON, Canada
                Author notes

                Edited by: Arthur Wingfield, Brandeis University, USA

                Reviewed by: Natasha Sigala, University of Sussex, UK; Begoña Díaz, University Pompeu Fabra, Spain

                *Correspondence: Jerker Rönnberg, Department of Behavioural Sciences and Learning, Linköping University, SE-581 83 Linköping, Sweden e-mail: jerker.ronnberg@ 123456liu.se
                Article
                10.3389/fnsys.2013.00031
                3710434
                23874273
                e2890662-7aa8-4a1e-95b0-bbb35388049a
                Copyright © 2013 Rönnberg, Lunner, Zekveld, Sörqvist, Danielsson, Lyxell, Dahlström, Signoret, Stenfelt, Pichora-Fuller and Rudner.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.

                History
                : 12 March 2013
                : 24 June 2013
                Page count
                Figures: 2, Tables: 0, Equations: 0, References: 168, Pages: 17, Words: 16446
                Categories
                Neuroscience
                Review Article

                Neurosciences
                working memory capacity,speech in noise,attention,long-term memory,hearing loss,brain imaging analysis,oscillations,language understanding

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