期刊名：Brain Sciences

期刊主页：www.mdpi.com/journal/brainsci

人工智能技术正加速渗透至神经科学领域，在疾病风险预测、医学影像判断、脑电信号分析、视频行为识别及个性化干预方案制定等方面发挥着日益重要的作用。本专题汇集了发表于Brain Sciences的系列研究，系统展现了人工智能在神经科学领域的多元应用，涵盖精神心理障碍的预测与干预、脑血管疾病的诊疗辅助、神经退行性疾病的影像分析、康复工程中的功能评估，以及脑-肠轴机制和神经建筑学等交叉前沿，欢迎感兴趣的读者进一步查阅原文。

1. Prediction of Clinical Outcomes in Psychotic Disorders Using Artificial Intelligence Methods: A Scoping Review

使用人工智能方法预测精神疾病的临床结果：范围综述

https://www.mdpi.com/2076-3425/14/9/878

Tay, J.L.; Htun, K.K.; Sim, K. Prediction of Clinical Outcomes in Psychotic Disorders Using Artificial Intelligence Methods: A Scoping Review. Brain Sci. 2024, 14, 878. https://doi.org/10.3390/brainsci14090878

2. Application of Artificial Intelligence Tools for Social and Psychological Enhancement of Students with Autism Spectrum Disorder: A Systematic Review

人工智能工具应用于自闭症谱系障碍学生社会与心理增强的系统综述

https://www.mdpi.com/2076-3425/16/1/56

Tsapanou, A.; Bouka, A.; Papadopoulou, A.; Vamvatsikou, C.; Mikrouli, D.; Theofila, E.; Dionysopoulou, K.; Kortseli, K.; Lytaki, P.; Spyridonidi, T.M.; et al. Application of Artificial Intelligence Tools for Social and Psychological Enhancement of Students with Autism Spectrum Disorder: A Systematic Review. Brain Sci. 2026, 16, 56. https://doi.org/10.3390/brainsci16010056

3. Fear Detection Using Electroencephalogram and Artificial Intelligence: A Systematic Review

基于脑电图和人工智能的恐惧检测：系统综述

https://www.mdpi.com/2076-3425/15/8/815

Serna, B.; Salazar, R.; Alonso-Silverio, G.A.; Baltazar, R.; Ventura-Molina, E.; Alarcón-Paredes, A. Fear Detection Using Electroencephalogram and Artificial Intelligence: A Systematic Review. Brain Sci. 2025, 15, 815. https://doi.org/10.3390/brainsci15080815

4. The Autism Open Clinical Model (A.-O.C.M.) as a Phenomenological Framework for Prompt Design in Parent Training for Autism: Integrating Embodied Cognition and Artificial Intelligence

自闭症开放临床模型（A.-O.C.M.）作为自闭症家长培训中提示词设计的现象学框架：整合具身认知与人工智能

https://www.mdpi.com/2076-3425/15/11/1213

Morfini, F.; Cesarano, S.G.D. The Autism Open Clinical Model (A.-O.C.M.) as a Phenomenological Framework for Prompt Design in Parent Training for Autism: Integrating Embodied Cognition and Artificial Intelligence. Brain Sci. 2025, 15, 1213. https://doi.org/10.3390/brainsci15111213

5. Mental Health Disorders Due to Gut Microbiome Alteration and NLRP3 Inflammasome Activation After Spinal Cord Injury: Molecular Mechanisms, Promising Treatments, and Aids from Artificial Intelligence

脊髓损伤后肠道微生物组改变与NLRP3炎症小体激活所致精神健康障碍：分子机制、有前景的治疗方法及人工智能辅助

https://www.mdpi.com/2076-3425/15/2/197

Kalaga, P.; Ray, S.K. Mental Health Disorders Due to Gut Microbiome Alteration and NLRP3 Inflammasome Activation After Spinal Cord Injury: Molecular Mechanisms, Promising Treatments, and Aids from Artificial Intelligence. Brain Sci. 2025, 15, 197. https://doi.org/10.3390/brainsci15020197

6. Current Stroke Solutions Using Artificial Intelligence: A Review of the Literature

当前使用人工智能的卒中解决方案：文献综述

https://www.mdpi.com/2076-3425/14/12/1182

Al-Janabi, O.M.; El Refaei, A.; Elgazzar, T.; Mahmood, Y.M.; Bakir, D.; Gajjar, A.; Alateya, A.; Jha, S.K.; Ghozy, S.; Kallmes, D.F.; et al. Current Stroke Solutions Using Artificial Intelligence: A Review of the Literature. Brain Sci. 2024, 14, 1182. https://doi.org/10.3390/brainsci14121182

7. Artificial Intelligence as A Complementary Tool for Clincal Decision-Making in Stroke and Epilepsy

人工智能作为卒中与癫痫临床决策的辅助工具

https://www.mdpi.com/2076-3425/14/3/228

Shah, S.P.; Heiss, J.D. Artificial Intelligence as A Complementary Tool for Clincal Decision-Making in Stroke and Epilepsy. Brain Sci. 2024, 14, 228. https://doi.org/10.3390/brainsci14030228

8. Current State of the Clinical Applications of Artificial Intelligence in Stroke: A Literature Review

人工智能在卒中领域临床应用的现状：文献综述

https://www.mdpi.com/2076-3425/16/2/173

Sorkin, G.C.; Caffes, N.M.; Shank, J.P.; Hershey, J.L.; Knaub, D.E.; Krebs, J.C.; Niazi, M.H. Current State of the Clinical Applications of Artificial Intelligence in Stroke: A Literature Review. Brain Sci. 2026, 16, 173. https://doi.org/10.3390/brainsci16020173

9. The Development of an Artificial Intelligence Video Analysis-Based Web Application to Diagnose Oropharyngeal Dysphagia: A Pilot Study

基于人工智能视频分析的诊断口咽吞咽困难的Web应用程序的开发：一项试点研究https://www.mdpi.com/2076-3425/14/6/546

Jeong, C.-W.; Lee, C.-S.; Lim, D.-W.; Noh, S.-H.; Moon, H.-K.; Park, C.; Kim, M.-S. The Development of an Artificial Intelligence Video Analysis-Based Web Application to Diagnose Oropharyngeal Dysphagia: A Pilot Study. Brain Sci. 2024, 14, 546. https://doi.org/10.3390/brainsci14060546

10. Utilizing Artificial Intelligence for CSF Segmentation and Analysis in Head CT Imaging: A Systematic Review

利用人工智能进行头部CT影像中脑脊液分割与分析的系统综述

https://www.mdpi.com/2076-3425/15/11/1144

Bielówka, M.; Mitr?ga, A.; Kaczyńska, D.; Rojek, M.; Magiera, M.; Kufel, J.; Grzegorczyn, S. Utilizing Artificial Intelligence for CSF Segmentation and Analysis in Head CT Imaging: A Systematic Review. Brain Sci. 2025, 15, 1144. https://doi.org/10.3390/brainsci15111144

11. Artificial Intelligence in PET Imaging for Alzheimer’s Disease: A Narrative Review

人工智能在阿尔茨海默病PET影像中的应用：叙述性综述

https://www.mdpi.com/2076-3425/15/10/1038

Marongiu, A.; Spanu, A.; Palumbo, B.; Bianconi, F.; Filippi, L.; Madeddu, G.; Nuvoli, S. Artificial Intelligence in PET Imaging for Alzheimer’s Disease: A Narrative Review. Brain Sci. 2025, 15, 1038. https://doi.org/10.3390/brainsci15101038

12. The Effectiveness of Artificial Intelligence-Based Interventions for Students with Learning Disabilities: A Systematic Review

基于人工智能的干预措施对学习障碍学生有效性的系统综述

https://www.mdpi.com/2076-3425/15/8/806

Paglialunga, A.; Melogno, S. The Effectiveness of Artificial Intelligence-Based Interventions for Students with Learning Disabilities: A Systematic Review. Brain Sci. 2025, 15, 806. https://doi.org/10.3390/brainsci15080806

13. Diagnostic, Therapeutic, and Prognostic Applications of Artificial Intelligence (AI) in the Clinical Management of Brain Metastases (BMs)

人工智能在脑转移瘤临床管理中的诊断、治疗及预后应用

https://www.mdpi.com/2076-3425/15/7/730

Evangelou, K.; Zemperligkos, P.; Politis, A.; Lani, E.; Gutierrez-Valencia, E.; Kotsantis, I.; Velonakis, G.; Boviatsis, E.; Stavrinou, L.C.; Kalyvas, A. Diagnostic, Therapeutic, and Prognostic Applications of Artificial Intelligence (AI) in the Clinical Management of Brain Metastases (BMs). Brain Sci. 2025, 15, 730. https://doi.org/10.3390/brainsci15070730

14. Challenging Cognitive Load Theory: The Role of Educational Neuroscience and Artificial Intelligence in Redefining Learning Efficacy

挑战认知负荷理论：教育神经科学与人工智能在重新定义学习效能中的作用https://www.mdpi.com/2076-3425/15/2/203

Gkintoni, E.; Antonopoulou, H.; Sortwell, A.; Halkiopoulos, C. Challenging Cognitive Load Theory: The Role of Educational Neuroscience and Artificial Intelligence in Redefining Learning Efficacy. Brain Sci. 2025, 15, 203. https://doi.org/10.3390/brainsci15020203

15. Bridging Space Perception, Emotions, and Artificial Intelligence in Neuroarchitecture

神经建筑学中空间感知、情绪与人工智能的桥梁构建

https://www.mdpi.com/2076-3425/16/2/131

Shemesh, A.; Leisman, G.; Grobman, Y.J. Bridging Space Perception, Emotions, and Artificial Intelligence in Neuroarchitecture. Brain Sci. 2026, 16, 131. https://doi.org/10.3390/brainsci16020131

期刊介绍

Brain Sciences (ISSN: 2076-3425) 是一个专注于神经科学研究的国际性开放获取期刊，由来自美国匹兹堡大学的Stephen D. Meriney 教授担任主编。期刊主要发表神经科学领域相关论文，包括但不限于认知神经科学、发育神经科学、分子与细胞神经科学、神经工程学、神经影像学、神经语言学、临床神经科学、系统神经科学、理论与计算神经科学、环境神经科学、教育神经科学、行为神经科学等多个分类和领域次级学科。

主编：Prof. Dr. Stephen D. Meriney

Department of Neuroscience, University of Pittsburgh, Pittsburgh, PA 15260, USA

2025 Impact Factor：3.4

2025 CiteScore：6.0

Time to First Decision：16.8 Days

Acceptance to Publication：2.3 Days