Brain-Apparatus Communication: A Journal of Bacomics is an international peer-reviewed journal that promotes progress in the rapidly emerging interdisciplinary field of
Brain-Apparatus Conversation (BAC).
Brain-Apparatus Communication integrates recent progress in technological and engineering fields with neuroscience and clinical sciences. The journal is inherently multidisciplinary and covers a broad range of topics centered around brain-apparatus conversation, including but not limited to:
- Brain-non-living Machine/apparatus Interaction (BMI) including non-invasive/ invasive Brain-Computer Interface (BCI), closed-loop neurofeedback, and open-loop brain stimulation approaches as well as their practical and clinical application.
- Brain-living Organ/apparatus Communication (BOC), spanning brain-heart, brain-liver, brain-lung, brain-gut, brain-muscle communication, and their relationship with health as well as developmental and aging aspects.
- The fusion of BMI and BOC: Brain-Apparatus Conversation (BAC), including studies exploring the universal principles and theoretical modelling, as well as studies at the intersection and integration between BMI and BOC.
Brain-Apparatus Communication publishes original experimental and clinical research studies, novel modelling and data analysis methods and corresponding software platforms, as well as qualitative and quantitative reviews which focus on the development and application of brain-apparatus conversation approaches.
The journal invites studies at different levels of examination from the micro-, to meso- and macro- scales.
At the intersection of cognitive neuroscience, clinical neurology, information science, engineering, and other disciplines,
Bacomics (Brain-Apparatus Conversation + Omics) has developed a unique profile and distinct advantages, providing us with a new way to understand how the brain works and how it interacts with other entities, with exciting potential to lead to innovative clinical and non-clinical applications. Bacomics also covers the development of various methods, tools and instruments for brain information processing and brain disease diagnosis and interventions.
Editor-in-Chief
Dezhong Yao, University of Electronic Science and Technology of China, China
Associate Editors
Benjamin Becker, University of Electronic Science and Technology of China, China
Xiao Hu, Emory University, USA
Laura Marzetti, University "G. d'Annunzio", Italy
David M.A. Mehler, University Hospital RWTH Aachen, Germany
Editorial Board
Bharat Biswal, New Jersey Medical School, USA
Salvatore Campanella, University of Brussels (ULB), Belgium
Diego Centonze, University of Rome Tor Vergata, Italy
Chao Chen, Tianjin University of Technology, China
Hong Cheng, University of Electronic Science and Technology of China, China
Giuseppe Chiarenza, Università Milano, Italy
Fengyu Cong, Dalian University of Technology, China
Xijian Dai, The 2nd Affiliated Hospital of Nanchang University, China
Daqing Guo, University of Electronic Science and Technology of China, China
Gongjun Ji, Anhui Medical University, China
Jing Jin, East China University of Science and Technology of China, China
Keith Kendrick, University of Durham, UK
Thomas Knoesche, Max Planck Institute for Human Cognitive and Brain Sciences, Germany
Xu Lei, Southwest University, China
Zhen Liang, Shenzhen University, China
Tiejun Liu, University of Electronic Science and Technology of China, China
Baoliang Lu, Shanghai Jiao Tong University, China
Michael Luehrs, Maastricht University, Faculty of Psychology and Neuroscience, The Netherlands
Cheng Luo, University of Electronic Science and Technology of China, China
Daniele Marinazzo, Ghent University, Belgium
Ludovico Minati, University of Trento, Italy
Armida Mucci, University of Campania "Luigi Vanvitelli", Italy
Patrizia Ranzo, University of Campania "Luigi Vanvitelli", Italy
Biao Sun, Tianjin University, China
Junfeng Sun, Shanghai Jiao Tong University, China
Yingying Tang, Shanghai Mental Health Center, China
Xiangdong Tang, West China Hospital of Sichuan University, China
Pedro A. Valdés-Sosa, Cuban Neuroscience Center, Cuba
Maria Luisa Bringas Vega, Cuban Neuroscience Center, Cuba
Hongtao Wang, Wuyi University, China
Yiwen Wang, Hong Kong University of Science and Technology of China, China
Yang Xia, University of Electronic Science and Technology of China, China
Fan Xu, Chengdu Medical College, China
Peng Xu, University of Electronic Science and Technology of China, China
Shuxia Yao, University of Electronic Science and Technology of China, China
Fang Zeng, Chengdu University of TCM, China
Jianbao Zhang, Xi'an Jiaotong University, China
Yangsong Zhang, Southwest University of Science and Technology of China, China
Yi Zhang, Xidian University, China
Changsong Zhou, Hong Kong Baptist University, China
Advisory Editorial Board
Lin Chen, Academician of CAS
Aike Guo, Academician of CAS
Lin Lu, Academician of CAS
Managing Editor
Jing Lu, University of Electronic Science and Technology of China, China
Yun Qin, University of Electronic Science and Technology of China, China
Yongxiu Lai, University of Electronic Science and Technology of China, China
To publish open access in this journal you may be asked to pay an Article Publishing Charge (APC). You may be able to publish your article at no cost to yourself or with a reduced APC if your institution or research funder has an open access agreement or membership with Taylor & Francis. Discounts and waivers may also be available for researchers in selected countries when publishing in open access journals.
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