Temporal expectation based on the duration variability modulates alpha oscillations during working memory retention

被引:3
作者
Chen, Fang-Wen [1 ]
Li, Chun-Hui [1 ]
Kuo, Bo-Cheng [1 ]
机构
[1] Natl Taiwan Univ, Dept Psychol, 1,Sect 4,Roosevelt Rd, Taipei 10617, Taiwan
关键词
Alpha oscillation; Attention; Electroencephalography; Magnetoencephalography; Temporal expectation; Working memory; TOP-DOWN MODULATION; SHORT-TERM-MEMORY; ORIENTING ATTENTION; PRESTIMULUS ALPHA; REPRESENTATIONS; MAINTENANCE; SUPPRESSION; LOCATIONS; CORTEX; POWER;
D O I
10.1016/j.neuroimage.2022.119789
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
While maintaining information over a delay of time, working memory (WM) also allows individuals to prepare the mnemonic contents for prospective utilisation. However, it remains unclear whether the expectation of the time of WM test could modulate neural responses during the retention interval of WM and subsequent performance. Here, we investigated whether temporal expectations based on the variability of delay duration can modulate 913 Hz alpha oscillations during WM retention and whether the expectation-induced alpha activity was associated with WM performance. Participants performed a retro-cueing WM task with magnetoencephalography (MEG) (Experiment 1) and a standard WM task with electroencephalography (EEG) (Experiment 2). The expectation of the timing of the WM test was manipulated by the temporal structure of the tasks with small or large variability in the delay durations. We showed that alpha oscillations during retention interval and WM performance varied with duration variability in both of the MEG and EEG experiments. The novel finding was greater alpha-power attenuation over the left frontal and parietal regions during WM retention when the duration variability was small and the test onset was predictable, compared to when the duration variability was large and the test onset was less predictable. Importantly, we observed a positive relationship in variability difference between the response benefit and alpha-power attenuation in the left posterior parietal regions at both MEG-source and EEG-electrode levels. Finally, we confirmed the behavioural benefit when a condition with a fixed delay-duration was included in a behavioural experiment (Experiment 3). When conjoined, the delay duration enables individuals to anticipate when the relevant information would be put to work, and alpha oscillations track the anticipatory states during WM maintenance.
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页数:14
相关论文
共 111 条
  • [1] Orienting attention to locations in mental representations
    Astle, Duncan Edward
    Summerfield, Jennifer
    Griffin, Ivan
    Nobre, Anna Christina
    [J]. ATTENTION PERCEPTION & PSYCHOPHYSICS, 2012, 74 (01) : 146 - 162
  • [2] Baddeley A.D., 1986, WORKING MEMORY
  • [3] Output planning at the input stage in visual working memory
    Boettcher, Sage E. P.
    Gresch, Daniela
    Nobre, Anna C.
    van Ede, Freek
    [J]. SCIENCE ADVANCES, 2021, 7 (13):
  • [4] Alpha Oscillations Serve to Protect Working Memory Maintenance against Anticipated Distracters
    Bonnefond, Mathilde
    Jensen, Ole
    [J]. CURRENT BIOLOGY, 2012, 22 (20) : 1969 - 1974
  • [5] Brett M, 2002, 8 INT C FUNCTIONAL M, V16
  • [6] Alpha Oscillations Track Content-Specific Working Memory Capacity
    Chen, Ya-Ting
    van Ede, Freek
    Kuo, Bo-Cheng
    [J]. JOURNAL OF NEUROSCIENCE, 2022, 42 (38) : 7285 - 7293
  • [7] The many characters of visual alpha oscillations
    Clayton, Michael S.
    Yeung, Nick
    Kadosh, Roi Cohen
    [J]. EUROPEAN JOURNAL OF NEUROSCIENCE, 2018, 48 (07) : 2498 - 2508
  • [8] Differential roles for parietal and frontal cortices in fixed versus evolving temporal expectations: Dissociating prior from posterior temporal probabilities with fMRI
    Coull, Jennifer T.
    Cotti, Julien
    Vidal, Franck
    [J]. NEUROIMAGE, 2016, 141 : 40 - 51
  • [9] Coull JT, 1998, J NEUROSCI, V18, P7426
  • [10] Temporal Anticipation Based on Memory
    Cravo, Andre M.
    Rohenkohl, Gustavo
    Santos, Karin Moreira
    Nobre, Anna C.
    [J]. JOURNAL OF COGNITIVE NEUROSCIENCE, 2017, 29 (12) : 2081 - 2089