An Effective Connectomics Approach for Diagnosing ADHD using Eyes-open Resting-state MEG-Reference-Cited by-同舟云学术

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An Effective Connectomics Approach for Diagnosing ADHD using Eyes-open Resting-state MEG

Published:2021-10-28 Issue: Volume: Page:
ISSN:
Container-title:2021 11th International Conference on Computer Engineering and Knowledge (ICCKE)
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Author:

Hamedi Nastaran¹,Khadem Ali¹,Vardast Sajjad²,Delrobaei Mehdi³,Babajani-Feremi Abbas⁴

Affiliation:

1. K. N. Toosi University of Technology,Faculty of Electrical Engineering,Department of Biomedical Engineering,Tehran,Iran

2. Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran

3. Departments of Mechatronics and Biomedical Engineering, Faculty of Electrical Engineering, K. N. Toosi University of Technology

4. University of Texas at Austin,Dell Medical School,Austin,TX,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9721437/9721438/09721443.pdf?arnumber=9721443

Reference24 articles.

1. Multimodal mapping of the brain’s functional connectivity and the adult outcome of attention deficit hyperactivity disorder;sudre;Proc Natl Acad Sci U S A,2017

2. MEG Analysis of Neural Interactions in Attention-Deficit/Hyperactivity Disorder

3. Wiener–Granger Causality: A well established methodology

4. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy

5. Young Adult Outcome of Hyperactive Children: Adaptive Functioning in Major Life Activities

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine and Deep Learning Algorithms for ADHD Detection: A Review;Studies in Big Data;2023

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