Dissociation of White Matter Bundles in Different Recovery Measures in Poststroke Aphasia.

IF 7.8 1区 医学 Q1 CLINICAL NEUROLOGY Stroke Pub Date : 2024-11-01 Epub Date: 2024-10-28 DOI:10.1161/STROKEAHA.124.047229
Alberto Osa García, Simona Maria Brambati, Amélie Brisebois, Bérengère Houzé, Christophe Bedetti, Alex Desautels, Karine Marcotte
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Abstract

Background: Poststroke aphasia (PSA) recovery shows high variability across individuals and at different time points. Although diffusion biomarkers from the ventral and dorsal streams have demonstrated strong predictive power for language outcomes, it is still unclear how these biomarkers relate to the various stages of PSA recovery. In this study, we aim to compare diffusion metrics and language measures as predictors of language recovery in a longitudinal cohort of participants with PSA.

Methods: Participants were recruited at a stroke unit at the emergency room, and underwent diffusion magnetic resonance imaging scanning and language assessment within 3 days (acute phase) after stroke, with behavioral follow-ups at subacute (10±3 days) and chronic phases (>6 months). We conducted regression analyses on language performance (cross-sectional), Δscores between all time points (acute-subacute, subacute-chronic, acute-chronic), and relative Δscores between all time points (Δscore/language baseline score), with acute diffusion metrics from language-related white matter tracts, lesion size, language baseline scores, and demographic data as predictors.

Results: Thirty-nine participants presenting PSA were recruited, and 24 participants (mean age, 73 years; 8 women) completed the 3-time point assessment in total. The best prediction model of performance scores used axial diffusivity from the left arcuate fasciculus in both the subacute (R2=0.785) and chronic stages (R2=0.626). Moreover, the prediction of ∆scores depended on axial diffusivity from the left inferior frontal-occipital fasciculus in the subacute stage (R2=0.5) and depended additionally on axial diffusivity from the right inferior frontal-occipital fasciculus in the chronic stage (R2=0.68). The prediction of mediation analyses showed that the lesion load of the left arcuate fasciculus mediated the relationship between axial diffusivity from the left arcuate fasciculus and chronic language performance.

Conclusions: Language performance at subacute and chronic time points could be predicted by the integrity of the left arcuate fasciculus, whereas Δscores in the subacute and chronic phases depended on the left inferior frontal-occipital fasciculus, showing a dissociation of the white matter pathways about language outcomes. These results suggest a functional differentiation of the dual-stream components in PSA recovery.

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脑卒中后失语症白质束在不同恢复测量中的离散性
背景:卒中后失语症(PSA)的恢复在不同个体和不同时间点表现出很大的差异性。虽然腹侧流和背侧流的弥散生物标志物对语言结果有很强的预测能力,但这些生物标志物与 PSA 恢复的不同阶段之间的关系仍不清楚。在这项研究中,我们旨在比较弥散指标和语言测量指标,以此预测PSA患者纵向队列中的语言恢复情况:方法:参与者在急诊室的卒中单元招募,在卒中后 3 天内(急性期)接受弥散磁共振成像扫描和语言评估,并在亚急性期(10±3 天)和慢性期(>6 个月)进行行为随访。我们对语言表现(横断面)、所有时间点(急性-亚急性、亚急性-慢性、急性-慢性)之间的Δscore、所有时间点之间的相对Δscore(Δscore/语言基线分数)进行了回归分析,并将语言相关白质束的急性弥散指标、病变大小、语言基线分数和人口统计学数据作为预测因素:共招募了 39 名出现 PSA 的参与者,其中 24 人(平均年龄 73 岁;8 名女性)完成了 3 个时间点的评估。在亚急性期(R2=0.785)和慢性期(R2=0.626),使用左侧弓形筋膜的轴向弥散率是预测表现评分的最佳模型。此外,在亚急性阶段,Δ分数的预测取决于左下额枕筋束的轴向扩散率(R2=0.5),在慢性阶段,还取决于右下额枕筋束的轴向扩散率(R2=0.68)。中介预测分析表明,左侧弓状筋束的病变负荷在左侧弓状筋束轴向扩散率与慢性语言能力之间起中介作用:亚急性和慢性时间点的语言表现可由左侧弓状束的完整性预测,而亚急性和慢性阶段的Δ分数则取决于左侧下额枕束,这表明白质通路与语言结果之间存在分离。这些结果表明,双流成分在 PSA 恢复过程中存在功能分化。
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来源期刊
Stroke
Stroke 医学-临床神经学
CiteScore
13.40
自引率
6.00%
发文量
2021
审稿时长
3 months
期刊介绍: Stroke is a monthly publication that collates reports of clinical and basic investigation of any aspect of the cerebral circulation and its diseases. The publication covers a wide range of disciplines including anesthesiology, critical care medicine, epidemiology, internal medicine, neurology, neuro-ophthalmology, neuropathology, neuropsychology, neurosurgery, nuclear medicine, nursing, radiology, rehabilitation, speech pathology, vascular physiology, and vascular surgery. The audience of Stroke includes neurologists, basic scientists, cardiologists, vascular surgeons, internists, interventionalists, neurosurgeons, nurses, and physiatrists. Stroke is indexed in Biological Abstracts, BIOSIS, CAB Abstracts, Chemical Abstracts, CINAHL, Current Contents, Embase, MEDLINE, and Science Citation Index Expanded.
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