Disease-specific resting-state EEG network variations in schizophrenia revealed by the contrastive machine learning-Reference-Cited by-同舟云学术

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Disease-specific resting-state EEG network variations in schizophrenia revealed by the contrastive machine learning

Published:2023-10 Issue: Volume:202 Page:110744
ISSN:0361-9230
Container-title:Brain Research Bulletin
language:en
Short-container-title:Brain Research Bulletin

Author:

Li Fali^ORCID,Wang Guangying,Jiang Lin,Yao Dezhong,Xu Peng,Ma Xuntai,Dong Debo,He Baoming

Publisher

Elsevier BV

Subject

General Neuroscience

Reference50 articles.

1. Contrastive machine learning reveals the structure of neuroanatomical variation within autism;Aglinskas;Science,2022

2. Evaluating the role of common risk variation in the recurrence risk of schizophrenia in multiplex schizophrenia families;Ahangari;Transl. Psychiatry,2022

3. Network neuroscience;Bassett;Nat. Neurosci.,2017

4. Localizing P300 generators in visual target and distractor processing: a combined event-related potential and functional magnetic resonance imaging study;Bledowski;J. Neurosci.: Off. J. Soc. Neurosci.,2004

5. Default-mode brain dysfunction in mental disorders: a systematic review;Broyd;Neurosci. Biobehav. Rev.,2009

Cited by 2 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. Contrastive machine learning reveals in EEG resting-state network salient features specific to autism spectrum disorder;Chaos, Solitons & Fractals;2024-08

2. Prefrontal intra-individual ERP variability and its asymmetry: exploring its biomarker potential in mild cognitive impairment;Alzheimer's Research & Therapy;2024-04-13

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