Critical brain regions related to post-stroke aphasia severity identified by early diffusion imaging are not the same when predicting short- and long-term outcome

Zavanone, Chiara; Samson, Yves; Arbizu, Céline; Dupont, Sophie; Dormont, Didier; Rosso, Charlotte

doi:10.1016/j.bandl.2018.08.005

Cited by 14 publications

(10 citation statements)

References 35 publications

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“…DTI allows us to objectively study poststroke aphasia from the perspective of the structural connection of white matter fibers. Zavanone C. [ 35 ] believes that DTI can be used as a good indicator of peripheral nerve regeneration and a noninvasive diagnostic tool for a variety of nervous system diseases. Carragher M. [ 36 ] and other researchers collected aphasia patients with different severity and examined the damage of white matter fiber bundle with DTI.…”

Section: Research Progress Of Dtimentioning

confidence: 99%

The Progress of Functional Magnetic Resonance Imaging in Patients with Poststroke Aphasia

Tie

Xiang

Xia

2022

Journal of Healthcare Engineering

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Aphasia after stroke is one of the common complications of cerebral infarction. Early diagnosis and treatment of aphasia after stroke is of great significance for the recovery of language function. At present, there are different views on the pathogenesis of aphasia after stroke. Functional magnetic resonance imaging (fMRI) can reflect the brain function, brain tissue metabolism, and the level of brain local blood flow. It has the advantages of noninvasive, high resolution and sensitivity, low price, and so on. It has been widely used in the study of sensory aphasia after stroke. This study focuses on the development of functional magnetic resonance imaging in patients with poststroke aphasia and summarizes the published studies on functional magnetic resonance imaging in patients with poststroke aphasia. Evidence acquisition: A literature search was conducted in PubMed, Hindawi, PLoS, IEEE, Wiley, ScienceDirect, Springer, EMBASE, and web of science, with the keywords of “stroke” and “Aphasia” and “functional magnetic resonance imaging”, “RS fMRI”, or “DTI”, to review the research of functional magnetic resonance imaging in patients with aphasia after stroke. The results included clinical evaluation, diagnostic scale, and imaging analysis; the study design was a randomized controlled trial, case series and case report, and observational study. A total of 67 articles were identified in the first search and 43 after the second search. Based on the analysis of 43 selected articles, 19 articles were included, and 24 articles were excluded. The selected information is shown in Table 1. Eleven of them did not contain imaging-related data. Six articles are related review articles. Four studies were conducted on patients without poststroke aphasia. Three studies studied the effect of poststroke aphasia on patients’ social participation.

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Section: Research Progress Of Dtimentioning

confidence: 99%

The Progress of Functional Magnetic Resonance Imaging in Patients with Poststroke Aphasia

Tie

Xiang

Xia

2022

Journal of Healthcare Engineering

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“…In patients with post-stroke aphasia, a correlation was observed between ART, BDAE scales and the FA of the AF, IFOF, and UF. In the acute/chronic stage, patients with severe aphasia present decreased FA of the AF, IFOF, and UF, as well as the disconnection of the dorsal and ventral pathways [53].…”

Section: Discussionmentioning

confidence: 99%

Prediction of Aphasia Severity in Patients with Stroke Using Diffusion Tensor Imaging

Lee

Park

et al. 2021

Brain Sciences

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This study classified the severity of aphasia through the Western Aphasia Battery and determined the optimal cut-off value for each Language-Related White Matter fiber and their combinations, we further examined the correlations between Language-Related White Matter and Western Aphasia Battery subscores. This retrospective study recruited 64 patients with aphasia. Mild/moderate and severe aphasia were classified according to cut-off Aphasia Quotient score of 51 points. Diffusion tensor imaging and fractional anisotropy reconstructed Language-Related White Matter in multiple fasciculi. We determined the area under the covariate-adjusted receiver operating characteristic curve to evaluate the accuracy of predicting aphasia severity. The optimal fractional-anisotropy cut-off values for the individual fibers of the Language-Related White Matter and their combinations were determined. Their correlations with Western Aphasia Battery subscores were analyzed. The arcuate and superior longitudinal fasciculi showed fair accuracy, the inferior frontal occipital fasciculus poor accuracy, and their combinations fair accuracy. Correlations between Language-Related White Matter parameters and Western Aphasia Battery subscores were found between the arcuate, superior longitudinal, and inferior frontal occipital fasciculi and spontaneous speech, auditory verbal comprehension, repetition, and naming. Diffusion-tensor-imaging-based language-Related White Matter analysis may help predict the severity of language impairment in patients with aphasia following stroke.

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“…Prior studies have examined the relationship between structural disconnection and language function [ 206 , 207 ], including the AF and speech fluency [ 208 - 211 ]; the SLF and naming [ 212 , 213 ], and the uncinate fasciculus and naming [ 212 ] (for contrary findings210,213). Leveraging knowledge about the relationship between tract-disconnection and language function, connectome-based lesion symptom mapping has proven comparable to conventional lesion-symptom mapping in predicting aphasia symptoms [ 117 , 203 , 214 - 218 ] and to characterize spontaneous language recovery [ 207 , 219 ].…”

Section: Predictors Of Treated Recovery In Aphasiamentioning

confidence: 99%

Predictors of Therapy Response in Chronic Aphasia: Building a Foundation for Personalized Aphasia Therapy

et al. 2022

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Chronic aphasia, a devastating impairment of language, affects up to a third of stroke survivors. Speech and language therapy has consistently been shown to improve language function in prior clinical trials, but few clinicially applicable predictors of individual therapy response have been identified to date. Consequently, clinicians struggle substantially with prognostication in the clinical management of aphasia. A rising prevalence of aphasia, in particular in younger populations, has emphasized the increasing demand for a personalized approach to aphasia therapy, that is, therapy aimed at maximizing language recovery of each individual with reference to evidence-based clinical recommendations. In this narrative review, we discuss the current state of the literature with respect to commonly studied predictors of therapy response in aphasia. In particular, we focus our discussion on biographical, neuropsychological, and neurobiological predictors, and emphasize limitations of the literature, summarize consistent findings, and consider how the research field can better support the development of personalized aphasia therapy. In conclusion, a review of the literature indicates that future research efforts should aim to recruit larger samples of people with aphasia, including by establishing multisite aphasia research centers.

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Critical brain regions related to post-stroke aphasia severity identified by early diffusion imaging are not the same when predicting short- and long-term outcome

Cited by 14 publications

References 35 publications

The Progress of Functional Magnetic Resonance Imaging in Patients with Poststroke Aphasia

The Progress of Functional Magnetic Resonance Imaging in Patients with Poststroke Aphasia

Prediction of Aphasia Severity in Patients with Stroke Using Diffusion Tensor Imaging

Predictors of Therapy Response in Chronic Aphasia: Building a Foundation for Personalized Aphasia Therapy

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