Gaming behavior and brain activation using functional near‐infrared spectroscopy, Iowa gambling task, and machine learning techniques-Reference-Cited by-同舟云学术

Gaming behavior and brain activation using functional near‐infrared spectroscopy, Iowa gambling task, and machine learning techniques

Published:2022-03-15 Issue:4 Volume:12 Page:
ISSN:2162-3279
Container-title:Brain and Behavior
language:en
Short-container-title:Brain and Behavior

Author:

Kornev Denis¹,Nwoji Stanley¹,Sadeghian Roozbeh²^ORCID,Esmaili Sardari Saeed³,Dashtestani Hadis⁴^ORCID,He Qinghua⁵,Gandjbakhche Amir⁴^ORCID,Aram Siamak¹^ORCID

Affiliation:

1. Information System Engineering and Management Program Harrisburg University of Science and Technology Harrisburg Pennsylvania USA

2. Data Analytics Program Harrisburg University of Science and Technology Harrisburg Pennsylvania USA

3. Computer and Information Systems Program Harrisburg University of Science and Technology Harrisburg Pennsylvania USA

4. Eunice Kennedy Shriver National Institute of Child Health and Human Development National Institutes of Health Bethesda Maryland USA

5. Department of Psychology Southwest University Chongqing China

Publisher

Wiley

Subject

Behavioral Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/brb3.2536

Reference32 articles.

1. American Psychiatric Association(2018).Internet gaming.https://www.psychiatry.org/patients‐families/internet‐gaming

2. Machine Learning in Cognitive Neuroimaging

3. Aram S. Kornev D. Sadeghian R. Sardari S. E. Kora Venu S. Dashtestani H. &Gandjbakhche A.(2021).Machine learning approaches and neuroimaging in cognitive functions of the human brain: A review.International Conference on Applied Human Factors and Ergonomics (AHFE 2020) Advances in Neuroergonomics and Cognitive Engineering 23–29.

4. The Iowa Gambling Task: A Review of the Historical Evolution, Scientific Basis, and Use in Functional Neuroimaging

5. Estimation of optical pathlength through tissue from direct time of flight measurement

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