Wenjing Zhang

Jan 21, 2025 | nature.com | Wei Du |Wenjing Zhang

AbstractDespite observational studies linking brain iron levels to psychiatric disorders, the exact causal relationship remains poorly understood. This study aims to examine the relationship between iron levels in specific subcortical brain regions and the risk of psychiatric disorders.

Nov 5, 2024 | nature.com | Wenjing Zhang |Hong Yin |Su Lui

AbstractBrain alterations associated with illness severity in schizophrenia remain poorly understood. Establishing linkages between imaging biomarkers and symptom expression may enhance mechanistic understanding of acute psychotic illness. Constructing models using MRI and clinical features together to maximize model validity may be particularly useful for these purposes.

Jun 3, 2024 | nature.com | Xiangsheng Huang |Fang Wang |Yilong Liao |Wenjing Zhang |Li Zhang |Zhenrong Xu | +1 more

The early screening of depression is highly beneficial for patients to obtain better diagnosis and treatment. While the effectiveness of utilizing voice data for depression detection has been demonstrated, the issue of insufficient dataset size remains unresolved. Therefore, we propose an artificial intelligence method to effectively identify depression. The wav2vec 2.0 voice-based pre-training model was used as a feature extractor to automatically extract high-quality voice features from raw audio. Additionally, a small fine-tuning network was used as a classification model to output depression classification results. Subsequently, the proposed model was fine-tuned on the DAIC-WOZ dataset and achieved excellent classification results. Notably, the model demonstrated outstanding performance in binary classification, attaining an accuracy of 0.9649 and an RMSE of 0.1875 on the test set. Similarly, impressive results were obtained in multi-classification, with an accuracy of 0.9481 and an RMSE of 0.3810. The wav2vec 2.0 model was first used for depression recognition and showed strong generalization ability. The method is simple, practical, and applicable, which can assist doctors in the early screening of depression.

Dec 2, 2023 | dx.doi.org | Yang Luo |Xinjian Liu |Peixun Li |Wenjing Zhang

RETURN TO ARTICLES ASAPPREVEnergy, Environmenta...Energy, Environmental, and Catalysis ApplicationsNEXT Yang Luo Hebei Engineering Research Center of Advanced Energy Storage Technology and Equipment, School of Energy and Environmental Engineering, Hebei University of Technology, Tianjin 300401, China Hebei Key Laboratory of Thermal Science and Energy Clean Utilization, School of Energy and Environmental Engineering, Hebei University of Technology, Tianjin 300401, China , Xinjian Liu Hebei...

Sep 12, 2023 | onlinelibrary.wiley.com | Wenjing Zhang |Devices College |Yue Wu |Ruijie Ma

Conflict of interest The authors declare no conflict of interest. Supporting Information As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re-organized for online delivery, but are not copy-edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors.