Model selection to achieve reproducible associations between resting state EEG features and autism

Abstract A concern in the field of autism electroencephalography (EEG) biomarker discovery is their lack of reproducibility. In the present study, we considered the problem of learning reproducible associations between multiple features of resting state (RS) neural activity and autism, using EEG dat...

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Principais autores:	William E. Carson, Samantha Major, Harshitha Akkineni, Hannah Fung, Elias Peters, Kimberly L. H. Carpenter, Geraldine Dawson, David E. Carlson
格式:	Artigo
語言:	Inglês
出版:	Nature Portfolio 2024-10-01
叢編:	Scientific Reports
主題:	Autism Electroencephalography EEG Resting state Reproducible Reproducibility
在線閱讀:	https://doi.org/10.1038/s41598-024-76659-5
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