From Evaluation to Prediction: Behavioral Effects and Biological Markers of Cognitive Control Intervention
Although the intervention effectiveness of cognitive control is disputed, some methods, such as single-task training, integrated training, meditation, aerobic exercise, and transcranial stimulation, have been reported to improve cognitive control. This review of recent advances from evaluation to pr...
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doaj-6ee39aa464da426bb4a4a0a26c202faf2020-11-25T02:29:25ZengHindawi LimitedNeural Plasticity2090-59041687-54432020-01-01202010.1155/2020/18694591869459From Evaluation to Prediction: Behavioral Effects and Biological Markers of Cognitive Control InterventionBin Xuan0School of Educational Science, Anhui Normal University, Wuhu 241000, ChinaAlthough the intervention effectiveness of cognitive control is disputed, some methods, such as single-task training, integrated training, meditation, aerobic exercise, and transcranial stimulation, have been reported to improve cognitive control. This review of recent advances from evaluation to prediction of cognitive control interventions suggests that brain modularity may be an important candidate marker for informing clinical decisions regarding suitable interventions. The intervention effect of cognitive control has been evaluated by behavioral performance, transfer effect, brain structure and function, and brain networks. Brain modularity can predict the benefits of cognitive control interventions based on individual differences and is independent of intervention method, group, age, initial cognitive ability, and education level. The prediction of cognitive control intervention based on brain modularity should extend to task states, combine function and structure networks, and assign different weights to subnetwork modularity.http://dx.doi.org/10.1155/2020/1869459 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bin Xuan |
spellingShingle |
Bin Xuan From Evaluation to Prediction: Behavioral Effects and Biological Markers of Cognitive Control Intervention Neural Plasticity |
author_facet |
Bin Xuan |
author_sort |
Bin Xuan |
title |
From Evaluation to Prediction: Behavioral Effects and Biological Markers of Cognitive Control Intervention |
title_short |
From Evaluation to Prediction: Behavioral Effects and Biological Markers of Cognitive Control Intervention |
title_full |
From Evaluation to Prediction: Behavioral Effects and Biological Markers of Cognitive Control Intervention |
title_fullStr |
From Evaluation to Prediction: Behavioral Effects and Biological Markers of Cognitive Control Intervention |
title_full_unstemmed |
From Evaluation to Prediction: Behavioral Effects and Biological Markers of Cognitive Control Intervention |
title_sort |
from evaluation to prediction: behavioral effects and biological markers of cognitive control intervention |
publisher |
Hindawi Limited |
series |
Neural Plasticity |
issn |
2090-5904 1687-5443 |
publishDate |
2020-01-01 |
description |
Although the intervention effectiveness of cognitive control is disputed, some methods, such as single-task training, integrated training, meditation, aerobic exercise, and transcranial stimulation, have been reported to improve cognitive control. This review of recent advances from evaluation to prediction of cognitive control interventions suggests that brain modularity may be an important candidate marker for informing clinical decisions regarding suitable interventions. The intervention effect of cognitive control has been evaluated by behavioral performance, transfer effect, brain structure and function, and brain networks. Brain modularity can predict the benefits of cognitive control interventions based on individual differences and is independent of intervention method, group, age, initial cognitive ability, and education level. The prediction of cognitive control intervention based on brain modularity should extend to task states, combine function and structure networks, and assign different weights to subnetwork modularity. |
url |
http://dx.doi.org/10.1155/2020/1869459 |
work_keys_str_mv |
AT binxuan fromevaluationtopredictionbehavioraleffectsandbiologicalmarkersofcognitivecontrolintervention |
_version_ |
1715471835897790464 |