Aphasia outcome: the interactions between initial severity, lesion size and location

Benghanem, Sarah; Rosso, Charlotte; Arbizu, Céline; Moulton, Eric; Dormont, Didier; Léger, A.; Pires, Christine; Samson, Yves

doi:10.1007/s00415-019-09259-3

Cited by 41 publications

(31 citation statements)

References 34 publications

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“…The NIHSS score predicted performance on all NAVS-G and NAT-G subsets (Tables 5-8), as did aphasia severity and spontaneous speech competence. It is well-known that NIHSS reflects clinical severity as well as the severity of aphasia, and it has been shown to correlate with the prognosis for stroke-induced aphasia [230][231][232]. Surprisingly, we did not find a relation between NIHSS and NAVS-G and NAT-G performance in the RHSP group.…”

Section: The Covariates "Clinical Scores"contrasting

confidence: 84%

German Language Adaptation of the NAVS (NAVS-G) and of the NAT (NAT-G): Testing Grammar in Aphasia

et al. 2021

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Grammar provides the framework for understanding and producing language. In aphasia, an acquired language disorder, grammatical deficits are diversified and widespread. However, the few assessments for testing grammar in the German language do not consider current linguistic, psycholinguistic, and functional imaging data, which have been shown to be crucial for effective treatment. This study developed German language versions of the Northwestern Assessment of Verbs and Sentences (NAVS-G) and the Northwestern Anagram Test (NAT-G) to examine comprehension and production of verbs, controlling for the number and optionality of verb arguments, and sentences with increasing syntactic complexity. The NAVS-G and NAT-G were tested in 27 healthy participants, 15 right hemispheric stroke patients without aphasia, and 15 stroke patients with mild to residual aphasia. Participants without aphasia showed near-perfect performance, with the exception of (object) relative sentences, where accuracy was associated with educational level. In each patient with aphasia, deficits in more than one subtest were observed. The within and between population-groups logistic mixed regression analyses identified significant impairments in processing syntactic complexity at the verb and sentence levels. These findings indicate that the NAVS-G and NAT-G have potential for testing grammatical competence in (German) stroke patients.

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Section: The Covariates "Clinical Scores"contrasting

confidence: 84%

German Language Adaptation of the NAVS (NAVS-G) and of the NAT (NAT-G): Testing Grammar in Aphasia

et al. 2021

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“…Conversely, we present evidence that different factors may account for the early phases of recovery, and more specifically, influence the spontaneous recovery. Previous studies have reported that initial aphasia severity, isolated or in combination with other biological measures, can account for a large amount of variance in the long term (13,17). It has been also shown that different white matter structures may be involved in the outcome of aphasia at different stages, although this has not been explored during early recovery (50).…”

Section: Discussionmentioning

confidence: 99%

“…Although the results were clear, this study evaluated patients with only mild to moderate aphasia, which neglects those patients with more severe language deficits in which recovery results are more difficult to capture. A recent study found evidence that the interaction between severity and other variables may be different in patients with more severe aphasia (17). Inclusion of patients with severe aphasia entails more difficulty in the analysis of data, but is necessary to picture a more realistic and clinically relevant scenario (12).…”

Section: Introductionmentioning

confidence: 99%

Predicting Early Post-stroke Aphasia Outcome From Initial Aphasia Severity

et al. 2020

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Background: The greatest degree of language recovery in post-stroke aphasia takes place within the first weeks. Aphasia severity and lesion measures have been shown to be good predictors of long-term outcomes. However, little is known about their implications in early spontaneous recovery. The present study sought to determine which factors better predict early language outcomes in individuals with post-stroke aphasia. Methods: Twenty individuals with post-stroke aphasia were assessed <72 h (acute) and 10-14 days (subacute) after stroke onset. We developed a composite score (CS) consisting of several linguistic sub-tests: repetition, oral comprehension and naming. Lesion volume, lesion load and diffusion measures [fractional anisotropy (FA) and axial diffusivity (AD)] from both arcuate fasciculi (AF) were also extracted using MRI scans performed at the same time points. A series of regression analyses were performed to predict the CS at the second assessment. Results: Among the diffusion measures, only FA from right AF was found to be a significant predictor of early subacute aphasia outcome. However, when combined in two hierarchical models with FA, age and either lesion load or lesion size, the initial aphasia severity was found to account for most of the variance (R 2 = 0.678), similarly to the complete models (R 2 = 0.703 and R 2 = 0.73, respectively). Conclusions: Initial aphasia severity was the best predictor of early post-stroke aphasia outcome, whereas lesion measures, though highly correlated, show less influence on the prediction model. We suggest that factors predicting early recovery may differ from those involved in long-term recovery.

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“…Similar impairments have been noted in patients with damage to the posterior regions of the temporal lobes (Campanella et al, 2014). Additional studies have noted that damage to the temporoparietal regions also leads to deficits in bodily awareness (Martinaud et al, 2017) and language comprehension (e.g., Benghanem et al, 2019), which would include the ability to describe one’s experiences. Again, these functions are related to present-moment awareness of one’s thoughts and bodily experiences.…”

Section: Discussionmentioning

confidence: 99%

Trait Mindfulness and Functional Connectivity in Cognitive and Attentional Resting State Networks

Parkinson

Kornelsen

Smith

2019

Front. Hum. Neurosci.

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Mindfulness has been described as an orienting of attention to the present moment, with openness and compassion. Individuals displaying high trait mindfulness exhibit this tendency as a more permanent personality attribute. Given the numerous physical and mental health benefits associated with mindfulness, there is a great interest in understanding the neural substrates of this trait. The purpose of the current research was to examine how individual differences in trait mindfulness associated with functional connectivity in five resting-state networks related to cognition and attention: the default mode network (DMN), the salience network (SN), the central executive network (CEN), and the dorsal and ventral attention networks (DAN and VAN). Twenty-eight undergraduate participants completed the Five-Facet Mindfulness Questionnaire (FFMQ), a self-report measure of trait mindfulness which also provides scores on five of its sub-categories ( Observing , Describing , Acting with Awareness , Non-judging of Inner Experience , and Non-reactivity to Inner Experience ). Participants then underwent a structural MRI scan and a 7-min resting state functional MRI scan. Resting-state data were analyzed using independent-component analyses. An analysis of covariance (ANCOVA) was performed to determine the relationship between each resting state network and each FFMQ score. These analyses indicated that: (1) trait mindfulness and its facets showed increased functional connectivity with neural regions related to attentional control, interoception, and executive function; and (2) trait mindfulness and its facets showed decreased functional connectivity with neural regions related to self-referential processing and mind wandering. These patterns of functional connectivity are consistent with some of the benefits of mindfulness—enhanced attention, self-regulation, and focus on present experience. This study provides support for the notion that non-judgmental attention to the present moment facilitates the integration of regions in neural networks that are related to cognition, attention, and sensation.

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Aphasia outcome: the interactions between initial severity, lesion size and location

Cited by 41 publications

References 34 publications

German Language Adaptation of the NAVS (NAVS-G) and of the NAT (NAT-G): Testing Grammar in Aphasia

German Language Adaptation of the NAVS (NAVS-G) and of the NAT (NAT-G): Testing Grammar in Aphasia

Predicting Early Post-stroke Aphasia Outcome From Initial Aphasia Severity

Trait Mindfulness and Functional Connectivity in Cognitive and Attentional Resting State Networks

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