Lesion and lesion network localization of dysnomia after epilepsy surgery

颞叶 前颞叶切除术 病变 癫痫 癫痫外科 偏侧性 神经外科 波士顿命名测验 颞上回 医学 心理学 认知 外科 神经科学 神经心理学 功能磁共振成像
作者
Asmaa Mhanna,Joel Bruss,Joseph C. Griffis,Alyssa W Sullivan,Hiroto Kawasaki,Jeffrey R. Binder,Sara B. Pillay,Matthew A. Howard,Daniel Tranel,Aaron D. Boes
出处
期刊:Brain [Oxford University Press]
标识
DOI:10.1093/brain/awae322
摘要

Abstract Temporal lobe (TL) epilepsy surgery is an effective treatment option for patients with drug-resistant epilepsy. However, neurosurgery poses a risk for cognitive deficits - up to one third of patients have a decline in naming ability following TL surgery. In this study, we aimed to better understand the neural correlates associated with reduced naming performance after TL surgery, with the goal of informing surgical planning strategies to mitigate the risk of dysnomia. We retrospectively identified 85 patients who underwent temporal lobe (TL) resective surgery (49 left TL, 36 right TL) for whom naming ability was assessed before and >3 months post-surgery using the Boston Naming Test (BNT). We used multivariate lesion-symptom mapping to identify resection sites associated with naming decline, and we used lesion-network mapping to evaluate the broader functional and structural connectivity profiles of resection sites associated with naming decline. We validated our findings in an independent cohort of 59 individuals with left temporal lobectomy, along with repeating all analyses after combining the cohorts. Lesion laterality and location were important predictors of post-surgical naming performance. Naming performance significantly improved after right temporal lobectomy (P = 0.015) while a decrement in performance was observed following left temporal lobectomy (P = 0.002). Declines in naming performance were associated with surgical resection of the left anterior middle temporal gyrus (Brodmann area 21, r =0.41, P = <.001), along with a previously implicated basal temporal language area. Resection sites linked to naming decline showed a functional connectivity profile featuring a left-lateralized network closely resembling the extended semantic \ default mode network, and a structural connectivity profile featuring major temporo-frontal association white matter tracts coursing through the temporal stem. This extends prior work by implicating the left anterior middle temporal gyrus in naming decline and provides additional support for the role of the previously identified basal temporal language area in naming decline. Importantly, the structural and functional connectivity profiles of these regions suggest they are key nodes of a broader extended semantic network. Together these regional and network findings may help in surgical planning and discussions of prognosis.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
谢陈完成签到 ,获得积分10
2秒前
3秒前
量子星尘发布了新的文献求助10
5秒前
Damon发布了新的文献求助10
8秒前
点点完成签到 ,获得积分10
14秒前
我是老大应助科研通管家采纳,获得10
14秒前
aircraft06完成签到,获得积分10
14秒前
Moonchild完成签到 ,获得积分10
16秒前
大模型应助Damon采纳,获得30
16秒前
我很好完成签到 ,获得积分10
18秒前
19秒前
量子星尘发布了新的文献求助10
25秒前
量子星尘发布了新的文献求助10
26秒前
28秒前
吱吱发布了新的文献求助10
32秒前
elsa622完成签到 ,获得积分10
34秒前
无心的天真完成签到 ,获得积分10
38秒前
蓝色花生豆完成签到,获得积分10
42秒前
风趣朝雪完成签到,获得积分10
43秒前
shuoliu完成签到 ,获得积分10
44秒前
量子星尘发布了新的文献求助10
52秒前
kk完成签到,获得积分10
52秒前
jun完成签到 ,获得积分10
56秒前
量子星尘发布了新的文献求助10
57秒前
whuhustwit完成签到,获得积分10
57秒前
1分钟前
整齐豆芽完成签到 ,获得积分10
1分钟前
吉吉完成签到,获得积分10
1分钟前
甜甜信封完成签到,获得积分10
1分钟前
Damon发布了新的文献求助30
1分钟前
jiang完成签到 ,获得积分10
1分钟前
木木杨完成签到,获得积分10
1分钟前
凡凡完成签到,获得积分10
1分钟前
乐乐应助dejavu采纳,获得10
1分钟前
Fiona完成签到 ,获得积分10
1分钟前
海阔天空完成签到 ,获得积分10
1分钟前
moon完成签到 ,获得积分10
1分钟前
Adam罗完成签到 ,获得积分10
1分钟前
量子星尘发布了新的文献求助10
1分钟前
量子星尘发布了新的文献求助10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 8000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5664721
求助须知:如何正确求助?哪些是违规求助? 4868293
关于积分的说明 15108389
捐赠科研通 4823414
什么是DOI,文献DOI怎么找? 2582282
邀请新用户注册赠送积分活动 1536330
关于科研通互助平台的介绍 1494765