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Akademický článek

Cortical hierarchy disorganization in major depressive disorder and its association with suicidality

Autor: Lin Shiwei, Zhang Xiaojing, Zhang Yingli, Chen Shengli, Lin Xiaoshan, Xu Ziyun, Hou Gangqiang, Qiu Yingwei

Publikováno v: Frontiers in Psychiatry, Vol 14 (2023)

ObjectivesTo explore the suicide risk-specific disruption of cortical hierarchy in major depressive disorder (MDD) patients with diverse suicide risks.MethodsNinety-two MDD patients with diverse suicide risks and 38 matched controls underwent resting

Externí odkaz: https://doaj.org/article/945eecbc1a7542598a2a97159ad391a4

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Akademický článek

Aberrant Inter-hemispheric Connectivity in Patients With Recurrent Major Depressive Disorder: A Multimodal MRI Study

Autor: Guo Zheng, Zhang Yingli, Chen Shengli, Zhou Zhifeng, Peng Bo, Hou Gangqiang, Qiu Yingwei

Publikováno v: Frontiers in Neurology, Vol 13 (2022)

ObjectiveInter-hemispheric network dysconnectivity has been well-documented in patients with recurrent major depressive disorder (MDD). However, it has remained unclear how structural networks between bilateral hemispheres relate to inter-hemispheric

Externí odkaz: https://doaj.org/article/ca0f2019ec1645808872d98e77e74a67

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MDDD: Manifold-based Domain Adaptation with Dynamic Distribution for Non-Deep Transfer Learning in Cross-subject and Cross-session EEG-based Emotion Recognition

Autor: Luo, Ting, Zhang, Jing, Qiu, Yingwei, Zhang, Li, Hu, Yaohua, Yu, Zhuliang, Liang, Zhen

Emotion decoding using Electroencephalography (EEG)-based affective brain-computer interfaces represents a significant area within the field of affective computing. In the present study, we propose a novel non-deep transfer learning method, termed as

Externí odkaz: http://arxiv.org/abs/2404.15615