scholarly journals Modulation of neural oscillations during working memory update, maintenance, and readout: An hdEEG study

2020 ◽  
Author(s):  
Marianna Semprini ◽  
Gaia Bonassi ◽  
Federico Barban ◽  
Elisa Pelosin ◽  
Riccardo Iandolo ◽  
...  
2020 ◽  
Vol 11 ◽  
Author(s):  
Kate A. Yurgil ◽  
Miguel A. Velasquez ◽  
Jenna L. Winston ◽  
Noah B. Reichman ◽  
Paul J. Colombo

2010 ◽  
Vol 473 (3) ◽  
pp. 172-177 ◽  
Author(s):  
Massoud Stephane ◽  
Nuri F. Ince ◽  
Michael Kuskowski ◽  
Arthur Leuthold ◽  
Ahmed H. Tewfik ◽  
...  

2012 ◽  
Vol 43 (2) ◽  
pp. 145-153 ◽  
Author(s):  
Massoud Stephane ◽  
Arthur Leuthold ◽  
Michael Kuskowski ◽  
Kate McClannahan ◽  
Tinting Xu

2021 ◽  
Author(s):  
Mehdi Senoussi ◽  
Pieter Verbeke ◽  
Tom Verguts

Why can't we keep as many items as we want in working memory? It has long been debated whether this resource limitation is a bug (a downside of our fallible biological system) or instead a feature (an optimal response to a computational problem). We propose that the resource limitation is a consequence of a useful feature. Specifically, we propose that flexible cognition requires time-based binding, and time-based binding necessarily limits the number of (bound) memoranda that can be stored simultaneously. Time-based binding is most naturally instantiated via neural oscillations, for which there exists ample experimental evidence. We report simulations that illustrate this theory and that relate it to empirical data. We also compare the theory to several other (feature and bug) resource theories.


2021 ◽  
Vol 121 ◽  
pp. 108063
Author(s):  
Liping Pan ◽  
Dandan Guo ◽  
Jiajing Wang ◽  
Yuhan Hao ◽  
Lulin Zhang ◽  
...  

2020 ◽  
Vol 32 (11) ◽  
pp. 2117-2130 ◽  
Author(s):  
Xiaonan L. Liu ◽  
Charan Ranganath ◽  
Liang-Tien Hsieh ◽  
Mitzi Hurtado ◽  
Tara A. Niendam ◽  
...  

Prior studies demonstrated that neural oscillations are enhanced during working memory (WM) maintenance and that this activity can predict behavioral performance in healthy individuals. However, it is unclear whether the relationship holds for people with WM deficits. People with schizophrenia have marked WM deficits, and such deficits are most prominent when patients are required to process relationships between items, such as temporal order. Here, we used EEG to compare the relationship between oscillatory activity and WM performance in patients and controls. EEG was recorded as participants performed tasks requiring maintenance of complex objects (“Item”) or the temporal order of objects (“Order”). In addition to testing for group differences, we examined individual differences in EEG power and WM performance across groups. Behavioral results demonstrated that patients showed impaired performance on both Item and Order trials. EEG analyses revealed that patients showed an overall reduction in alpha power, but the relationship between alpha activity and performance was preserved. In contrast, patients showed a reduction in theta power specific to Order trials, and theta power could predict performance on Order trials in controls, but not in patients. These findings demonstrate that WM impairments in patients may reflect two different processes: a general deficit in alpha oscillations and a specific deficit in theta oscillations when temporal order information must be maintained. At a broader level, the results highlight the value of characterizing brain–behavior relationships, by demonstrating that the relationship between neural oscillations and WM performance can be fundamentally disrupted in those with WM deficits.


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