Meier Erin L, Sheppard Shannon M, Goldberg Emily B, Kelly Catherine R, Walker Alexandra, Ubellacker Delaney M, Vitti Emilia, Ruch Kristina, Hillis Argye E
Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD.
Department of Communication Sciences and Disorders, Chapman University, Irvine, CA.
Lang Cogn Neurosci. 2022;37(3):330-347. doi: 10.1080/23273798.2021.1980593. Epub 2021 Sep 24.
Most naming error lesion-symptom mapping (LSM) studies have focused on semantic and/or phonological errors. Anomic individuals also produce unrelated word errors, which may be linked to semantic or modality-independent lexical deficits. To investigate the neural underpinnings of rarely-studied unrelated errors, we conducted LSM analyses in 100 individuals hospitalized with a left hemisphere stroke who completed imaging protocols and language assessments. We used least absolute shrinkage and selection operator regression to capture relationships between naming errors and dysfunctional brain tissue metrics (regional damage or hypoperfusion in vascular territories) in two groups: participants with and without impaired single-word auditory comprehension. Hypoperfusion-particularly within the parietal lobe-was an important error predictor, especially for the unimpaired group. In both groups, higher unrelated error proportions were associated with primarily ventral stream damage, the language route critical for processing meaning. Nonetheless, brain metrics implicated in unrelated errors were distinct from semantic error correlates.
大多数命名错误的病变-症状映射(LSM)研究都集中在语义和/或语音错误上。失语症患者也会产生无关词错误,这可能与语义或模态无关的词汇缺陷有关。为了研究很少被研究的无关错误的神经基础,我们对100名因左半球中风住院的个体进行了LSM分析,这些个体完成了成像方案和语言评估。我们使用最小绝对收缩和选择算子回归来捕捉两组中命名错误与功能失调的脑组织指标(血管区域的局部损伤或灌注不足)之间的关系:有和没有单字听觉理解受损的参与者。灌注不足——尤其是在顶叶内——是一个重要的错误预测指标,特别是对于未受损组。在两组中,较高的无关错误比例主要与腹侧流损伤有关,腹侧流是处理意义的关键语言路径。尽管如此,与无关错误相关的脑指标与语义错误相关指标不同。