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Journal overview

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.
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Wenqi Li et al.
Review Article |
Open Access
Zongxin Xu et al.
Review Article |
Open Access
Zhengkun Liu et al.
Article |
Open Access

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