Neurocognitive subprocesses of working memory performance.
Neurocognitive subprocesses of working memory performance.
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DOI：
10.3758/s13415-021-00924-7
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发表时间：
2021-12
期刊：
影响因子：
--
通讯作者：
Bilder RM
中科院分区：
文献类型：
--
作者：
Lenartowicz A;Truong H;Enriquez KD;Webster J;Pochon JB;Rissman J;Bearden CE;Loo SK;Bilder RM
工作记忆（WM）已被定义为具有有限容量并抵抗干扰的形式的目标维护和灵活更新。 WM的复杂度量招募了多个子过程，因此很难隔离推定独立子系统的特定贡献。本研究旨在确定WM拟议子过程的神经生理学指标是否预测了WM性能。我们招募了200个通过寻求护理状况定义的人，并使用脑电图（EEG）进行了测量的神经反应，而参与者执行了四个WM任务。我们从每个任务中提取光谱和时间域的EEG特征，以量化每个假设的WM子过程：维护（内容的存储），目标维护和更新。然后，我们使用每个子过程的EEG度量作为任务绩效的预测指标，以评估其对WM的贡献。 WM容量的重要预测因素包括对侧延迟活动和额叶theta，这些功能通常与维护（内容的存储）过程相关。相反，反应时间及其可变性的重要预测因素包括偶然的负变化和P3B，这些特征通常与目标维护和更新相关。从广义上讲，这些结果表明，两个主要维度有助于WM性能，维护过程中有助于容量的滋补过程以及刺激过程中有助于响应速度和可变性的阶段过程。分析还强调，与维护（伽玛，theta和跨频耦合）相比，与刺激处理（P3B和Alpha）相关的特征（P3B和Alpha）相关的特征对特征的特征可靠性更大（与WM性能相当）。
在线版本包含的补充材料可获得10.3758/s13415-021-00924-7。
Working memory (WM) has been defined as the active maintenance and flexible updating of goal-relevant information in a form that has limited capacity and resists interference. Complex measures of WM recruit multiple subprocesses, making it difficult to isolate specific contributions of putatively independent subsystems. The present study was designed to determine whether neurophysiological indicators of proposed subprocesses of WM predict WM performance. We recruited 200 individuals defined by care-seeking status and measured neural responses using electroencephalography (EEG), while participants performed four WM tasks. We extracted spectral and time-domain EEG features from each task to quantify each of the hypothesized WM subprocesses: maintenance (storage of content), goal maintenance, and updating. We then used EEG measures of each subprocess as predictors of task performance to evaluate their contribution to WM. Significant predictors of WM capacity included contralateral delay activity and frontal theta, features typically associated with maintenance (storage of content) processes. In contrast, significant predictors of reaction time and its variability included contingent negative variation and the P3b, features typically associated with goal maintenance and updating. Broadly, these results suggest two principal dimensions that contribute to WM performance, tonic processes during maintenance contributing to capacity, and phasic processes during stimulus processing that contribute to response speed and variability. The analyses additionally highlight that reliability of features across tasks was greater (and comparable to that of WM performance) for features associated with stimulus processing (P3b and alpha), than with maintenance (gamma, theta and cross-frequency coupling). The online version contains supplementary material available at 10.3758/s13415-021-00924-7.
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影响因子：
5.3
作者：
Axmacher, Nikolai;Mormann, Florian;Fell, Juergen
通讯作者：
Fell, Juergen
影响因子：
2.4
作者：
Bechara, A;Martin, EM
通讯作者：
Martin, EM
影响因子：
3.8
作者：
Babiloni, CB;Brancucci, A;Rossini, PM
通讯作者：
Rossini, PM
DOI：
10.1073/pnas.0911531107
发表时间：
2010-02-16
影响因子：
11.1
作者：
Axmacher, Nikolai;Henseler, Melanie M.;Fell, Juergen
通讯作者：
Fell, Juergen
影响因子：
9.9
作者：
Alexander, M. P.;Stuss, D. T.;Gillingham, S.
通讯作者：
Gillingham, S.