Kai Michael Schubert MD, PhD, Vineet Punia MD, Carla Bentes MD, PhD, Marian Galovic MD, PhD, for the SeLECT Consortium
{"title":"Reply to “The Role of EEG in Predicting Post-Stroke Seizures and an Updated Prognostic Model (SeLECT-EEG)”","authors":"Kai Michael Schubert MD, PhD, Vineet Punia MD, Carla Bentes MD, PhD, Marian Galovic MD, PhD, for the SeLECT Consortium","doi":"10.1002/ana.78053","DOIUrl":"10.1002/ana.78053","url":null,"abstract":"","PeriodicalId":127,"journal":{"name":"Annals of Neurology","volume":"98 6","pages":"1396-1397"},"PeriodicalIF":7.7,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145273222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Guicheng Kuang MD, Zhenghaonan Qiu MD, Lingxiao Li MD, Yi Liu MD
{"title":"Letter on the Role of Electroencephalography in Predicting Post-Stroke Seizures and an Updated Prognostic Model (SeLECT-EEG)","authors":"Guicheng Kuang MD, Zhenghaonan Qiu MD, Lingxiao Li MD, Yi Liu MD","doi":"10.1002/ana.78054","DOIUrl":"10.1002/ana.78054","url":null,"abstract":"","PeriodicalId":127,"journal":{"name":"Annals of Neurology","volume":"98 6","pages":"1395-1396"},"PeriodicalIF":7.7,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145273271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Risk-Based EEG Allocation: The Next Step for SeLECT-EEG","authors":"Shenglong Li, Longfei You","doi":"10.1002/ana.78062","DOIUrl":"10.1002/ana.78062","url":null,"abstract":"","PeriodicalId":127,"journal":{"name":"Annals of Neurology","volume":"98 6","pages":"1399-1400"},"PeriodicalIF":7.7,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145249024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kai Michael Schubert MD, PhD, Vineet Punia MD, Carla Bentes MD, PhD, Marian Galovic MD, PhD, for the SeLECT Consortium
{"title":"Reply to “Risk-Based EEG Allocation: The Next Step for SeLECT-EEG”","authors":"Kai Michael Schubert MD, PhD, Vineet Punia MD, Carla Bentes MD, PhD, Marian Galovic MD, PhD, for the SeLECT Consortium","doi":"10.1002/ana.78061","DOIUrl":"10.1002/ana.78061","url":null,"abstract":"","PeriodicalId":127,"journal":{"name":"Annals of Neurology","volume":"98 6","pages":"1400-1401"},"PeriodicalIF":7.7,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145249015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Issue Information – TOC","authors":"","doi":"10.1002/ana.78051","DOIUrl":"https://doi.org/10.1002/ana.78051","url":null,"abstract":"","PeriodicalId":127,"journal":{"name":"Annals of Neurology","volume":"98 S35","pages":"S1-S3"},"PeriodicalIF":7.7,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ana.78051","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145243011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Annals of Neurology: Volume 98, Number S35, October 2025","authors":"","doi":"10.1002/ana.78052","DOIUrl":"https://doi.org/10.1002/ana.78052","url":null,"abstract":"","PeriodicalId":127,"journal":{"name":"Annals of Neurology","volume":"98 S35","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ana.78052","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145243012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bachmann D, Wybitul M, Studer S, et al. Protective effects of socioeconomic status and lifestyle on amyloid- and white matter hyperintensity-related longitudinal brain atrophy and cognitive decline. Ann Neurol 2025. 10.1002/ana.70022.
In the caption of Figure 4, high SES was incorrectly reported and should be replaced with low SES. The corrected sentence reads: “The mediating effect of gray matter (GM) atrophy is more pronounced in individuals with low socioeconomic status (SES) because of faster amyloid-beta (Aβ)-related GM atrophy rates.”
In the Statistical Analysis section and the caption of Figure 4, the description of voxel-wise analyses was inaccurate. The correct criteria are: voxel-level p < 0.001; cluster-level p < 0.001, rather than the originally reported voxel-level p < 0.001; cluster-level p < 0.05.
These corrections do not affect the data, interpretation, or conclusions of the study.
The authors apologize for these errors in the originally published article.
{"title":"Correction to “Protective Effects of Socioeconomic Status and Lifestyle on Amyloid- and White Matter Hyperintensity-Related Longitudinal Brain Atrophy and Cognitive Decline”","authors":"Dario Bachmann PhD, Valerie Treyer PhD","doi":"10.1002/ana.78058","DOIUrl":"10.1002/ana.78058","url":null,"abstract":"<p>Bachmann D, Wybitul M, Studer S, et al. Protective effects of socioeconomic status and lifestyle on amyloid- and white matter hyperintensity-related longitudinal brain atrophy and cognitive decline. Ann Neurol 2025. 10.1002/ana.70022.</p><p>In the caption of Figure 4, <i>high SES</i> was incorrectly reported and should be replaced with <i>low SES</i>. The corrected sentence reads: “The mediating effect of gray matter (GM) atrophy is more pronounced in individuals with low socioeconomic status (SES) because of faster amyloid-beta (Aβ)-related GM atrophy rates.”</p><p>In the Statistical Analysis section and the caption of Figure 4, the description of voxel-wise analyses was inaccurate. The correct criteria are: voxel-level <i>p</i> < 0.001; cluster-level <i>p</i> < 0.001, rather than the originally reported voxel-level <i>p</i> < 0.001; cluster-level <i>p</i> < 0.05.</p><p>These corrections do not affect the data, interpretation, or conclusions of the study.</p><p>The authors apologize for these errors in the originally published article.</p>","PeriodicalId":127,"journal":{"name":"Annals of Neurology","volume":"98 6","pages":""},"PeriodicalIF":7.7,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ana.78058","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145249095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yun-Xiang Zhou MSc, Zheng-Yang Peng MSc, Wen-Bo Wang MD
{"title":"Clarifying the Moderating Role of Socioeconomic Status on Amyloid-Related Gray Matter Atrophy","authors":"Yun-Xiang Zhou MSc, Zheng-Yang Peng MSc, Wen-Bo Wang MD","doi":"10.1002/ana.78059","DOIUrl":"10.1002/ana.78059","url":null,"abstract":"","PeriodicalId":127,"journal":{"name":"Annals of Neurology","volume":"98 6","pages":"1397-1398"},"PeriodicalIF":7.7,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145237611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<p>To the Editor,</p><p>We thank Drs. Zhou, Peng, and Wang for their interest and thoughtful comments on our recent article, “Protective Effects of Socioeconomic Status and Lifestyle on Amyloid- and White Matter Hyperintensity-Related Longitudinal Brain Atrophy and Cognitive Decline.”<span><sup>1</sup></span> We appreciate the opportunity to clarify and expand on several points raised in their letter.</p><p>First, we acknowledge the inconsistency between the caption of figure 4 and the main text. The caption incorrectly states that “The mediating effect of gray matter (GM) atrophy is more pronounced in individuals with <i>high</i> socioeconomic status (SES)…” However, as indicated in figure 4 and correctly described in the text, the association between amyloid (Aβ) positron emission tomography (PET) burden and Aβ-related GM atrophy is more pronounced in individuals with <i>low</i> SES. Importantly, all other references to this effect are accurate, and this error does not alter our interpretation or conclusions. We apologize for the oversight, and we thank the authors of the letter for their careful reading of our study. A correction is published with this reply.</p><p>Second, in our original analysis we applied a median split for the moderated mediation analysis to simplify both the analysis and visualization of our results. We consider it unlikely that this approach biased our findings, as the initial models predicting cognitive performance treated SES as a continuous variable and similar patterns also emerged when we repeated the analysis separately in men and women using gender-specific medians (see Fig S4 in the Supplementary Materials in our original article). To further clarify, we now conducted a Johnson–Neyman analysis (Fig 1A), which produced results consistent with our initial median split approach, while providing additional information by identifying that the interaction between Aβ standardized uptake value ratio and education was no longer significant above 18 years of education. The low- and high-SES group-specific coefficients and confidence intervals are already provided in the mediation models (Figures 4C and 4E in our original article).</p><p>Third, in our study we modeled SES as a latent variable to capture its multi-dimensional nature and reduce multiple comparisons. We agree that examining individual SES indicators is informative, particularly because years of education had a very high factor loading. In response to the letter, we, therefore, ran separate linear regression models (adjusted for age, sex, and APOE4 status) testing interactions between Aβ PET burden and years of education, occupation, and net income. Educational complexity was not included separately because of its strong correlation with years of education (Spearman's ρ = 0.81, Fig 1C in our original article). These analyses (Fig 1B–D) suggest that both years of education and net income, but not occupation, moderate Aβ-related GM atrophy. When including both in
我们感谢编辑。周、彭和王对我们最近的文章“社会经济地位和生活方式对淀粉样蛋白和白质高强度相关的纵向脑萎缩和认知能力下降的保护作用”感兴趣并发表了深思熟虑的评论。“我们感谢有机会澄清和阐述他们信中提出的几点。首先，我们承认图4的标题与正文不一致。标题错误地指出“灰质（GM）萎缩的中介作用在高社会经济地位（SES）的个体中更为明显……”然而，如图4所示，并在文本中正确描述，淀粉样蛋白（Aβ）正电子发射断层扫描（PET）负担与Aβ相关的GM萎缩之间的关联在低社会经济地位的个体中更为明显。重要的是，所有其他关于这个效应的参考都是准确的，这个错误不会改变我们的解释或结论。我们为疏忽道歉，并感谢这封信的作者仔细阅读了我们的研究。在此回复中发表了更正。其次，在我们的原始分析中，我们对有调节的中介分析应用了中位数分割，以简化分析和结果的可视化。我们认为这种方法不太可能使我们的研究结果产生偏差，因为预测认知表现的初始模型将SES视为连续变量，当我们使用特定性别的中位数分别在男性和女性中重复分析时，也出现了类似的模式（见原始文章补充材料中的图S4）。为了进一步澄清，我们现在进行了Johnson-Neyman分析（图1A），其结果与我们最初的中位数分裂方法一致，同时通过确定a β标准化摄取值比与受教育程度之间的相互作用在18年以上不再显著提供了额外的信息。中介模型中已经提供了特定于低ses和高ses群体的系数和置信区间（原始文章中的图4C和图4E）。第三，在我们的研究中，我们将社会经济地位建模为一个潜在变量，以捕捉其多维性并减少多重比较。我们同意，检查个人社会经济地位指标是有益的，特别是因为教育年限具有非常高的因素负荷。因此，在回复这封信时，我们运行了单独的线性回归模型（调整了年龄、性别和APOE4状态）来测试Aβ PET负担与受教育年限、职业和净收入之间的相互作用。教育复杂性没有单独包括，因为它与受教育年限有很强的相关性（Spearman的ρ = 0.81，在我们的原始文章中见图1C）。这些分析（图1B-D）表明，受教育年限和净收入，而不是职业，都可以调节a β相关的GM萎缩。当在同一模型中包含这两种相互作用时，Aβ ×净收入仍然显著（β = 0.0026, p = 0.016），而Aβ ×受教育年限是边际的（β = 0.002, p = 0.052）。总之，这些互补分析支持了我们研究结果的稳健性，并提供了初步证据，证明教育和净收入独立影响a β相关的GM萎缩率。要证实这些结果，更大规模的研究将非常重要。达里奥·巴赫曼：可视化；写作——原稿；正式的分析。瓦莱丽·特雷耶：写作-评论和编辑。
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