PO23-TH-14 Nonverbal reasoning and working memory in patients with post-stroke aphasia

Seniów, Joanna; Litwin, M.; Leśniak, Marcin

doi:10.1016/s0022-510x(09)71071-8

Cited by 6 publications

(2 citation statements)

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“…Friedmann and Gvion (2003) also found impairment of WM in both Broca's and conduction aphasia, although participants showed a different pattern of comprehension deficits, depending on the type of aphasia. Only Seniów et al (2009a) reported significant variability of cognitive impairments in individuals with different types of aphasia (with cognitive abilities being completely intact in some participants), but did not specify which individuals had better cognitive performance. In general, most previous studies of aphasia and WM, as well as related cognitive abilities such as attention and executive functions, included mixed groups (Caspari et al, 1998;Ivanova & Hallowell, 2012Murray, 2012a;Purdy, 2002;Sung et al, 2009).…”

Section: Wm Limitations In Aphasiamentioning

confidence: 99%

The contribution of working memory to language comprehension: differential effect of aphasia type

et al. 2014

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Background: Experimental studies of short-term memory and working memory (WM) in aphasia fail to discriminate cognitive impairments of different aphasia types-nonfluent, Broca-type aphasia and fluent, Wernicke-type aphasia. However, based on the varying fundamental features of these two aphasia syndromes, the potentially different underlying mechanisms of impairment and scant preliminary evidence of varying cognitive deficits, a differential relationship between cognitive function and language processing in these two groups can be predicted. Aims: The current study investigates the hypothesis concerning the differential impact of cognitive impairments in individuals with fluent versus non-fluent aphasia types. Methods & Procedures: Participants with fluent (n = 19) and non-fluent (n = 16) aphasia and participants without brain damage (n = 36) were presented with an eyetracking WM task. Additionally, individuals with aphasia completed two language comprehension tasks. Outcomes & Results: Results revealed significant decrease in WM capacity in individuals with aphasia compared with participants without brain damage. The two aphasia groups performed similarly on the WM and language tasks. Furthermore, for participants with non-fluent aphasia, it was revealed that WM makes a significant contribution to language comprehension, while for fluent individuals this relationship was not significant. Conclusions: Overall, the present data support the claim that there are cognitive deficits in aphasia and that these cognitive deficits tend to exacerbate the language impairments of persons with non-fluent aphasia types. The results are discussed in the context of varying mechanisms of impairment in different types of aphasia. The present findings have important implications both for the assessment and the treatment of individuals with aphasia and for understanding the nature of aphasia.

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Section: Wm Limitations In Aphasiamentioning

confidence: 99%

The contribution of working memory to language comprehension: differential effect of aphasia type

et al. 2014

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“…The presence of concomitant cognitive impairment in adults with post-stroke aphasia has been well documented (El Hachioui et al, 2014), and impairments in the domains of attention (Erickson, Goldinger, & LaPointe, 1996;Glosser & Goodglass, 1990;Murray, 2012;Murray, Holland, & Beeson, 1997;Sturm & Willmes, 1991;Villard & Kiran, 2015), memory (Beeson, Bayles, Rubens, & Kaszniak, 1993;Mayer & Murray, 2012;Seniow, Litwin, & Lesniak, 2009a), and executive function (Fridriksson, Nettles, Davis, Morrow, & Montgomery, 2006;Purdy, 2002) Surprisingly few studies have investigated the influence of cognitive ability on anomia rehabilitation outcomes in aphasia (Basso, 2003). An early study conducted by Goldenberg et al (1994) found that language ability at baseline assessment significantly correlated with both spontaneous recovery and treatment success.…”

Section: Introductionmentioning

confidence: 99%

Factors influencing treatment-induced language recovery in chronic, post-stroke aphasia

Dignam¹

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Attention and Other Cognitive Deficits in Aphasia: Presence and Relation to Language and Communication Measures

Murray

2012

Am J Speech Lang Pathol

221

144

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Indeed, some conceptualizations of aphasia specify that deficits in cognitive functions other than language may generate or intensify linguistic impairments (Hula & McNeil, 2008; Murray & Kean, 2004). Although prior aphasia research has identified co-existing cognitive deficits and an association between language and cognitive abilities (Caspari et al., 1998; Fridricksson et al., 2006; Yeung & Law, 2010), several methodology limitations highlight the need for further investigation. For example, when dual-task paradigms have been used to explore the impact of increased attention demands on language performance in aphasia (e.g., Murray, 2000), formal cognitive measures have rarely been included to assist with interpreting the basis of dual-task decrements. Investigations that have included formal tests have yet to yield a consistent pattern of deficits or a reliable association between cognitive status and severity of aphasic symptoms (e.g., Helm-Estabrooks, 2002 vs. Petry et al., 1994), and have primarily focused on relations between language and executive functions or memory (Jee et al., 2009; Seniow et al., 2009a,b). In fact few aphasia studies have utilized formal attention tests or evaluated a range of attention functions or modalities, even though attention deficits have been reported as the most frequent and persistent post-stroke symptom (Lesniak et al., 2008). Finally, the validity and reliability of some findings are limited due to small sample sizes (e.g., Friedmann & Gvion, 2007), weak study designs (e.g., Frankel et al., 2007), and instrument issues such as using single versus multiple measures of a cognitive function (e.g., Petry et al., 1994; Seniow et al., 2009b) or relying on experimental protocols that lack established psychometric properties (e.g., Wright et al., 2007). Accordingly, this study was designed to further elucidate the relationship between cognition and aphasia with a focus on attention abilities. Individuals with (IWA) and without aphasia (CON) completed formal measures of attention and other cognitive functions to examine the following hypotheses: (a) compared to the CON group, IWA would score significantly lower on measures of attention as well as measures of other cognitive functions; and, (b) for IWA, there would be significant correlations between their language and communication status and their performance of attention and other cognitive tests. Methods Subjects. Participants included 39 adults with and 39 adults without aphasia (Table 1). Groups were matched (i.e., p > .05) for age and education, and all subjects met inclusionary hearing, vision, and praxis criteria. According to the Aphasia Diagnostic Profiles (Helm-Estabrooks, 1992), IWA had mild to moderately severe aphasia and represented a variety of fluent and nonfluent aphasia types; on the ASHA FACS (Frattali et al., 1995), ratings of overall communicative independence for IWA varied from moderately to completely independent. CON participants were given the Mini Mental State Exam (Cockrell & Folstein, 1988) and all sc...

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PO23-TH-14 Nonverbal reasoning and working memory in patients with post-stroke aphasia

Cited by 6 publications

References 0 publications

The contribution of working memory to language comprehension: differential effect of aphasia type

The contribution of working memory to language comprehension: differential effect of aphasia type

Factors influencing treatment-induced language recovery in chronic, post-stroke aphasia

Attention and Other Cognitive Deficits in Aphasia: Presence and Relation to Language and Communication Measures

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