A Preliminary Report of Network Electroencephalographic Measures in Primary Progressive Apraxia of Speech and Aphasia.

A Preliminary Report of Network Electroencephalographic Measures in Primary Progressive Apraxia of Speech and Aphasia.
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DOI:
10.3390/brainsci12030378
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发表时间:
2022-03-12
期刊:
影响因子:
3.3
通讯作者:
Josephs KA
Josephs KA
中科院分区:
医学4区
文献类型:
--
作者:
Utianski RL;Botha H;Caviness JN;Worrell GA;Duffy JR;Clark HM;Whitwell JL;Josephs KA

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本研究的目的是用来自头皮脑电图(EEG)记录的图论(GT)测量来表征非流利/无语法原发性进行性失语症(agPPA)和原发性进行性言语失用症(PPAOS)的网络水平变化。15例agPPA和7例PPAOS患者在放松清醒状态下闭眼采集EEG(21个电极,10-20个位置,256 Hz采样率,1-200 Hz带通滤波器)。选择了8个无伪影、非重叠的1024点历元。通过Brainwave软件,计算了θ和上下α频带的GT加权连接性和最小生成树(MST)测量值。采用Wilcoxon秩和检验评估agPPA和PPAOS之间GT和MST指标的差异。最感兴趣的是,在所有患者的所有频带中计算行为和网络测量之间的斯皮尔曼相关性。agPPA和PPAOS之间的GT或MST指标无统计学显著差异。有几个网络和行为变量之间的显着相关性。相关性表明降低的总体效率和临床症状严重程度(例如,帕金森综合征(parkinsonism,AOS)。这项初步的探索性研究表明,EEG GT措施有可能量化与退行性言语语言障碍相关的网络变化。
The objective of this study was to characterize network-level changes in nonfluent/agrammatic Primary Progressive Aphasia (agPPA) and Primary Progressive Apraxia of Speech (PPAOS) with graph theory (GT) measures derived from scalp electroencephalography (EEG) recordings. EEGs of 15 agPPA and 7 PPAOS patients were collected during relaxed wakefulness with eyes closed (21 electrodes, 10–20 positions, 256 Hz sampling rate, 1–200 Hz bandpass filter). Eight artifact-free, non-overlapping 1024-point epochs were selected. Via Brainwave software, GT weighted connectivity and minimum spanning tree (MST) measures were calculated for theta and upper and lower alpha frequency bands. Differences in GT and MST measures between agPPA and PPAOS were assessed with Wilcoxon rank-sum tests. Of greatest interest, Spearman correlations were computed between behavioral and network measures in all frequency bands across all patients. There were no statistically significant differences in GT or MST measures between agPPA and PPAOS. There were significant correlations between several network and behavioral variables. The correlations demonstrate a relationship between reduced global efficiency and clinical symptom severity (e.g., parkinsonism, AOS). This preliminary, exploratory study demonstrates potential for EEG GT measures to quantify network changes associated with degenerative speech–language disorders.
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