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From Evaluation to Prediction: Behavioral Effects and Biological Markers of Cognitive Control Intervention
Author
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-24
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Xuan, Bin. 2020. From Evaluation to Prediction: Behavioral Effects and Biological Markers of Cognitive Control Intervention. Neural Plasticity،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1202638
Modern Language Association (MLA)
Xuan, Bin. From Evaluation to Prediction: Behavioral Effects and Biological Markers of Cognitive Control Intervention. Neural Plasticity No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1202638
American Medical Association (AMA)
Xuan, Bin. From Evaluation to Prediction: Behavioral Effects and Biological Markers of Cognitive Control Intervention. Neural Plasticity. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1202638
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202638