Random Number Generation and Executive Functions in Parkinson’s Disease: An Event-Related Brain Potential Study

2015 ◽  
Vol 5 (3) ◽  
pp. 613-620 ◽  
Author(s):  
Thomas F. Münte ◽  
Gregor Joppich ◽  
Jan Däuper ◽  
Christoph Schrader ◽  
Reinhard Dengler ◽  
...  
NeuroImage ◽  
1998 ◽  
Vol 7 (4) ◽  
pp. S898
Author(s):  
M. Jahanshahi ◽  
G. Dirnberger ◽  
CD. Frith

2021 ◽  
Vol 11 (1) ◽  
pp. 37
Author(s):  
Georgios Chatzopoulos ◽  
Magda Dinou ◽  
Hariklia Proios

This study investigated the age-related differences in the random number generation (RNG) of children aged 7 to 15 years old (n=106) divided into three groups (7-9, 10-12 and 13-15 years of age) as it was compared to computer-generated pseudorandom sequences. The results showed that there was an age effect on four out of seven indices of randomization that are known to tap the Inhibition ability and the Updating ability (i.e., active manipulation of relevant information in working memory). The participants’ (children’s and adolescents’; n=106) responses were significantly different from pseudorandom sequences (n=106) produced by the RgCalc program and no gender differences were observed. The RNG task indices that reflect inhibition ability did not correlate with the participants’ performance on the Stroop color-word task. The development of executive functions in school-aged children and adolescents is discussed.


2004 ◽  
Vol 49 (2) ◽  
pp. 157-164 ◽  
Author(s):  
Gregor Joppich ◽  
Jan Däuper ◽  
Reinhard Dengler ◽  
Sönke Johannes ◽  
Antoni Rodriguez-Fornells ◽  
...  

2004 ◽  
Vol 62 (1) ◽  
pp. 58-60 ◽  
Author(s):  
Amer C. Hamdan ◽  
Juberty A. de Souza ◽  
Orlando F. A. Bueno

OBJECTIVE: To evaluate the performance of adult young subjects in a Random Number Generation (RNG) task by controlling the response speed (RS). METHOD: Sixty-nine university students of both sexes took part in the experiment (25.05 ± 6.71 year-old). Participants were alloted into 3 groups which differed in RS rates to generate numbers: 1, 2 and 4 seconds to generate each number. A digital metronomer was used to control RS. Participants were asked to generate 100 numbers. The responses were mensured through Evans's RNG Index. RESULTS: There were statistically significant differences among the groups [F (3, 68) = 7.120; p < .05]. Differences were localized between 1 and 2 seconds (p = 0.004) and between 1 and 4 seconds (p = 0.006). No differences were observed between 2 and 4 seconds (p = 0.985). CONCLUSION: The present results suggest that the response speed in production of random numbers influences the performance of the Random Numbers Generation task.


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