Different Effects of Cognitive Shifting and Intelligence on Creativity

2016 ◽  
Vol 52 (3) ◽  
pp. 212-225 ◽  
Author(s):  
Xuan Pan ◽  
Huihong Yu
Keyword(s):  
Cognitive Shifting

Cognitive shifting as a predictor of progress in social understanding in high-functioning adolescents with autism: A prospective study

1993 ◽  
Vol 23 (2) ◽  
pp. 341-359 ◽  
Author(s):  
Hans J. C. Berger ◽  
Karel P. M. van Spaendonck ◽  
Martin W. I. M. Horstink ◽  
Elly L. Buytenhuijs ◽  
Patty W. J. M. Lammers ◽  
...  
Keyword(s):  
Prospective Study ◽  
Social Understanding ◽  
High Functioning ◽  
Adolescents With Autism ◽  
A Prospective Study ◽  
Cognitive Shifting

Haloperidol and cognitive shifting

1989 ◽  
Vol 27 (5) ◽  
pp. 629-639 ◽  
Author(s):  
H.J.C. Berger ◽  
J.J.M. van Hoof ◽  
K.P.M. van Spaendonck ◽  
M.W.I. Horstink ◽  
J.H.L. van den Bercken ◽  
...  
Keyword(s):  
Cognitive Shifting

Central Coherence and Cognitive Shifting in Relation to Social Improvement in High-Functioning Young Adults with Autism

2003 ◽  
Vol 25 (4) ◽  
pp. 502-511 ◽  
Author(s):  
Hans J.C. Berger ◽  
Francisca H.T.M. Aerts ◽  
Karel P.M. van Spaendonck ◽  
Alexander R. Cools ◽  
Jan-Pieter Teunisse
Keyword(s):  
Young Adults ◽  
Central Coherence ◽  
Adults With Autism ◽  
High Functioning ◽  
Young Adults With Autism ◽  
Cognitive Shifting ◽  
Social Improvement

scholarly journals Neurobehavioral and Hemodynamic Evaluation of Cognitive Shifting in Children with Autism Spectrum Disorder

2012 ◽  
Vol 02 (04) ◽  
pp. 463-470 ◽  
Author(s):  
Akira Yasumura ◽  
Naomi Kokubo ◽  
Hisako Yamamoto ◽  
Yukiko Yasumura ◽  
Yusuke Moriguchi ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Hemodynamic Evaluation ◽  
Cognitive Shifting

Bilingual effects on cognitive shifting and prefrontal activations in young children

2019 ◽  
Vol 24 (4) ◽  
pp. 729-739 ◽  
Author(s):  
Yusuke Moriguchi ◽  
Kanda Lertladaluck
Keyword(s):  
Second Language ◽  
Executive Function ◽  
Young Children ◽  
Near Infrared ◽  
Nursery School ◽  
Bilingual Children ◽  
Neural Processing ◽  
Language Experience ◽  
Functional Near Infrared Spectroscopy ◽  
Cognitive Shifting

Aims and objectives: Bilingual children constantly experience spontaneous switching between languages in everyday settings, and some researchers suggest that this experience leads to an advantage in task performance during executive function tasks. Neural processing during executive function tasks remains largely unknown, especially in young bilingual children. Methodology: Using functional near-infrared spectroscopy, this study examined whether young children who attended an immersion second-language program demonstrated enhanced cognitive shifting and lateral prefrontal activation. Data and analysis: We recruited children ( N = 24) who attended an international nursery school, and examined whether their performance on cognitive shifting, and whether the oxygenated hemoglobin changes in the prefrontal regions during the task, were correlated with the children’s second-language verbal age and the length of time the children had been speaking the second language. Findings: Results revealed that the verbal age of the second language and the length of time speaking it were significantly correlated with behavioral performances of cognitive shifting tasks. However, they were not correlated with the activations in the lateral prefrontal regions. Originality: We examined the neural correlates of bilingual effects on cognitive shifting and prefrontal activations in young children. Implications: The results suggest that second-language experience may not be directly related to neural processing in the lateral prefrontal cortex, at least in young children.

The Correlation Between Cognitive and Movement Shifting and Brain Activity in Children With ADHD

2016 ◽  
Vol 22 (7) ◽  
pp. 661-670 ◽  
Author(s):  
Kyoung Doo Kang ◽  
Doug Hyun Han ◽  
Sun Mi Kim ◽  
Sujin Bae ◽  
Perry F. Renshaw
Keyword(s):  
Rating Scale ◽  
Clinical Symptoms ◽  
Brain Activity ◽  
Wisconsin Card Sorting Test ◽  
Card Sorting ◽  
Children With Adhd ◽  
Adhd Children ◽  
Healthy Control ◽  
Sorting Test ◽  
Cognitive Shifting

Objective: We assessed the correlation between the deficits of cognition, movement, and brain activity in children with Attention Deficit Hyperactvity Disorder (ADHD). Method: We recruited 15 children with ADHD and 15 age- and sex-matched healthy control participants. Clinical symptoms, cognitive shifting, movement shifting, and brain activity were assessed using the Korean ADHD Rating Scale, the Wisconsin Card Sorting Test (WCST), the 7- and 14-ring drill test with hop jumps (7 HJ and 14 HJ), and 3.0 Tesla functional magnetic resonance imaging scanner, respectively. Results: ADHD children showed an increased distance traveled and decreased speed on the 14 HJ task. In response to the WCST task, ADHD children showed decreased activation within right gyrus. Total distance on the 14 HJ task was negatively correlated with the mean β value of Cluster 2 in ADHD children. Conclusion: These results suggested that children with ADHD showed difficulty with attention shifting as well as with movement shifting.

scholarly journals Spatial cognitive shifting in huntington's disease and parkinson's disease

1999 ◽  
Vol 14 (1) ◽  
pp. 126-126
Author(s):  
E. B. Dimovski ◽  
J. C. Stout ◽  
S. A. Wylie ◽  
E. R. Siemers
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Huntington's Disease ◽  
Huntington’S Disease ◽  
Cognitive Shifting

scholarly journals A Functional Near-Infrared Spectroscopy Examination of the Neural Correlates of Cognitive Shifting in Dimensional Change Card Sort Task

2021 ◽  
Vol 14 ◽  
Author(s):  
Hui Li ◽  
Dandan Wu ◽  
Jinfeng Yang ◽  
Sha Xie ◽  
Jiutong Luo ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Dimensional Change ◽  
Neural Correlates ◽  
Functional Near Infrared Spectroscopy ◽  
Card Sort ◽  
Dimensional Change Card Sort ◽  
Cognitive Shifting ◽  
Switch Group

This study aims to examine the neural correlates of cognitive shifting during the Dimensional Change Card Sort Task (DCCS) task with functional near-infrared spectroscopy. Altogether 49 children completed the DCCS tasks, and 25 children (Mage = 68.66, SD = 5.3) passing all items were classified into the Switch group. Twenty children (Mage = 62.05, SD = 8.13) committing more than one perseverative errors were grouped into the Perseverate group. The Switch group had Brodmann Area (BA) 9 and 10 activated in the pre-switch period and BA 6, 9, 10, 40, and 44 in the post-switch period. In contrast, the Perseverate group had BA 9 and 10 activated in the pre-switch period and BA 8, 9, 10 in the post-switch period. The general linear model results afford strong support to the “V-shape curve” hypothesis by identifying a significant decrease–increase cycle in BA 9 and 44, the neural correlations of cognitive shifting.

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