Sex differences in rTMS treatment response: A deep learning‐based EEG investigation-Reference-Cited by-同舟云学术

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Sex differences in rTMS treatment response: A deep learning‐based EEG investigation

Published:2022-07-25 Issue:8 Volume:12 Page:
ISSN:2162-3279
Container-title:Brain and Behavior
language:en
Short-container-title:Brain and Behavior

Author:

Adamson M.¹²,Hadipour A. L.³,Uyulan C.⁴,Erguzel T.⁵,Cerezci O.⁶,Kazemi R.⁷,Phillips A.²,Seenivasan S.²^ORCID,Shah S.²,Tarhan N.⁸

Affiliation:

1. Department of Neurosurgery Stanford University School of Medicine Stanford California

2. Department of Rehabilitation Service VA Palo Alto Healthcare System Palo Alto California

3. Department of Cognitive Sciences University of Messina Messina Italy

4. Department of Mechanical Engineering İzmir Katip Çelebi University İzmir Turkey

5. Faculty of Engineering and Natural Sciences Üsküdar University Istanbul Turkey

6. Faculty of Health Sciences Üsküdar University Istanbul Turkey

7. Department of Cognitive Psychology Institute for Cognitive Science Studies Tehran Iran

8. Faculty of Humanities and Social Sciences Üsküdar University Istanbul Turkey

Publisher

Wiley

Subject

Behavioral Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/brb3.2696

Reference43 articles.

1. Machine learning applications in epilepsy

2. Abdelhameed A. M. Daoud H. G. &Bayoumi M.(2018).Deep convolutional bidirectional LSTM recurrent neural network for epileptic seizure detection. Presented at the 2018 16th IEEE International New Circuits and Systems Conference (NEWCAS) Montreal QC.https://doi.org/10.1109/newcas.2018.8585542

3. Cheng D. &Liu M.(2017).Combining convolutional and recurrent neural networks for Alzheimer's disease diagnosis using PET images.2017 IEEE International Conference on Imaging Systems and Techniques (IST). Presented at the 2017 IEEE International Conference on Imaging Systems and Techniques (IST) Beijing.https://doi.org/10.1109/ist.2017.8261461

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