David Justine, Quenon Lisa, Hanseeuw Bernard, Ivanoiu Adrian, Volfart Angélique, Koessler Laurent, Rossion Bruno
Université de Lorraine, CNRS, IMoPA, 29 Avenue du Maréchal de Lattre de Tassigny, F-54000 Nancy, France.
Institute of Neuroscience (IONS) - Université Catholique de Louvain (UCLouvain), Cliniques universitaires Saint-Luc, Neurology Department, Avenue Mounier, B-1200 Brussels, Belgium.
Clin Neurophysiol. 2025 Feb;170:98-109. doi: 10.1016/j.clinph.2024.12.018. Epub 2024 Dec 16.
Combining electroencephalographic (EEG) recording and fast periodic visual stimulation (FPVS) to provide an implicit, objective and sensitive electrophysiological measure of semantic word categorization impairment in Alzheimer's Disease (AD).
Twenty-five AD patients and 25 matched elderly healthy controls were tested with a validated FPVS-EEG paradigm in which different written words of the same semantic category (cities) appear at a fixed frequency of 4 words per second (4 Hz) for 70 seconds. Words from a different semantic category (animal) appear every 4 stimuli (i.e., 1 Hz).
Frequency domain EEG analysis showed a robust response objectively identified at specific 1 Hz harmonics over the left occipito-temporal cortex for healthy controls, indexing automatic semantic categorization. However, only a negligible response, less than 25 % of healthy controls', was found in AD patients, this response being inversely correlated with the amount of Tau protein in the cerebrospinal fluid. The significant group difference was maximal when including an additional left central region, with only 2.5 min of testing providing a significant group difference.
A reduced semantic word categorisation EEG amplitude rapidly differentiates AD patients from healthy controls.
FPVS-EEG provides a valuable electrophysiological index of semantic categorization impairment in AD.
结合脑电图（EEG）记录和快速周期性视觉刺激（FPVS），为阿尔茨海默病（AD）的语义词语分类损伤提供一种隐性、客观且敏感的电生理测量方法。
对25名AD患者和25名匹配的老年健康对照者采用经过验证的FPVS-EEG范式进行测试，其中相同语义类别（城市）的不同书面单词以每秒4个单词（4Hz）的固定频率出现70秒。来自不同语义类别（动物）的单词每4次刺激出现一次（即1Hz）。
频域脑电图分析显示，健康对照者在左枕颞叶皮质特定的1Hz谐波处客观地识别出强烈反应，这标志着自动语义分类。然而，在AD患者中仅发现可忽略不计的反应，不到健康对照者的25%，这种反应与脑脊液中tau蛋白的含量呈负相关。当纳入额外的左中央区域时，显著的组间差异最大，仅2.5分钟的测试就产生了显著的组间差异。
语义词语分类脑电图振幅降低可迅速将AD患者与健康对照者区分开来。
FPVS-EEG为AD中的语义分类损伤提供了一个有价值的电生理指标。
