scholarly journals Neural Correlates of Rote Memory: Auditory Interference and Working Memory Capacity Effect Quranic Recall in Children and Young Adults Using Electroencephalography

2017 ◽  
Author(s):  
Faisa Omer
2009 ◽  
Vol 102 (5) ◽  
pp. 2744-2754 ◽  
Author(s):  
J. Bo ◽  
V. Borza ◽  
R. D. Seidler

Numerous studies have shown that older adults exhibit deficits in motor sequence learning, but the mechanisms underlying this effect remain unclear. Our recent work has shown that visuospatial working-memory capacity predicts the rate of motor sequence learning and the length of motor chunks formed during explicit sequence learning in young adults. In the current study, we evaluate whether age-related deficits in working memory explain the reduced rate of motor sequence learning in older adults. We found that older adults exhibited a correlation between visuospatial working-memory capacity and motor sequence chunk length, as we observed previously in young adults. In addition, older adults exhibited an overall reduction in both working-memory capacity and motor chunk length compared with that of young adults. However, individual variations in visuospatial working-memory capacity did not correlate with the rate of learning in older adults. These results indicate that working memory declines with age at least partially explain age-related differences in explicit motor sequence learning.


2018 ◽  
Vol 12 (6) ◽  
pp. 1529-1543 ◽  
Author(s):  
Jenny Zaehringer ◽  
Rosalux Falquez ◽  
Anna-Lena Schubert ◽  
Frauke Nees ◽  
Sven Barnow

2020 ◽  
Vol 11 ◽  
Author(s):  
Jinfeng Yang ◽  
Dandan Wu ◽  
Jiutong Luo ◽  
Sha Xie ◽  
Chunqi Chang ◽  
...  

This study explored the differentiated neural correlates of mental rotation (MR) in preschoolers with high and low working memory capacity using functional near-infrared spectroscopy (fNIRS). Altogether 38 Chinese preschoolers (M = 5.0 years, SD = 0.69 years) completed the Working Memory Capacity (WMC) test, the Mental Rotation (MR), and its Control tasks (without MR). They were divided into High-WMC (N1 = 9) and Low-WMC (N2 = 18) groups based on the WMC scores. The behavioral and fNIRS results indicated that: (1) there were no significant differences in MR task performance between the High-WMC (Mmr = 23.44, SD = 0.88) and Low-WMC group (Mmr = 23.67, SD = 0.59); (2) the Low-WMC group activated BA6, BA8, BA 9, and BA 44, whereas the High-WMC group activated BA8, BA10 and BA 44 during mental rotation; (3) significant differences were found in the activation of BA44 and BA9 between the High-WMC and Low-WMC groups during mental rotation; and (4) the High-WMC and Low-WMC groups differed significantly in the activation of BA 9 and BA10 during the control tasks, indicating that both areas might be responsible for the group differences in working memory.


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