We are excited to inform you that we have launched Special Issue: Brain Multiomics. Hoping that your high-quality research outcomes will help us build Human Brain into benchmarks in the field.
With the rapid advancement of high-throughput sequencing technologies and bioinformatics, we are entering a new era of research—systematically deciphering the complex structure and functional mechanisms of the brain by integrating multi-omic data, including genomics, transcriptomics, proteomics, epigenomics, and metabolomics. Multiomics approaches not only provide powerful tools for in-depth understanding of molecular regulatory mechanisms in both healthy and diseased states of the brain but also open new avenues for early diagnosis of brain disorders, discovery of precision therapeutic targets, and development of personalized intervention strategies. To showcase the latest research achievements and advanced technologies in this rapidly evolving field and to promote innovation and international collaboration, HUMAN BRAIN is launching a special topic on "Brain Multiomics". This topic aims to gather cutting-edge research from scientists worldwide utilizing multiomics methods to address fundamental and translational questions in brain science. We cordially invite scholars to contribute their work.
This special topic focuses on, but is not limited to, the following research directions. We welcome original research articles, reviews, methodological papers, and critical commentaries:
1) Innovative Applications of Single-Cell and Spatial Multiomics Technologies: Utilizing advanced technologies such as single-cell/single-nucleus sequencing, spatial transcriptomics, and spatial proteomics to analyze cellular heterogeneity and spatial distribution patterns in nervous system development, aging, or disease, revealing cell-type-specific functions and their alterations in pathological states.
2) Construction and Comparative Analysis of Cross-Species Brain Atlases: Integrating multiomics data to construct high-resolution brain cell atlases and conducting cross-species comparative analyses to uncover evolutionary conservation and species-specific features of brain structure and function, providing a theoretical basis for translational medicine.
3) Multiomics Biomarkers for Brain Disorders: Mining and analyzing multiomics data to discover novel biomarkers for diagnosis, prognosis, or treatment response in major brain disorders such as Alzheimer's disease, Parkinson's disease, cerebrovascular diseases, and schizophrenia, etc., advancing precision medicine for brain diseases.
4) Integration and Analytical Methods for Multiomics Data: Developing innovative bioinformatics algorithms, computational models, or analytical tools to efficiently integrate and deeply mine complex brain multiomics data, providing methodological support for data-driven brain research.
5) Systems Biology Studies Based on Multiomics Data: Combining multiomics data with systems biology approaches to systematically elucidate molecular regulatory networks and key signaling pathways in specific physiological or pathological processes of the brain, uncovering systemic mechanisms underlying complex brain functions.
Submission deadline: 2026-12-30
Guest Editor
Shiping Liu
PhD
Professor of bioinformatics, brain science, and oncology, University of Chinese Academy of Sciences & BGI-Research, China
Li Liu
PhD
Associate Professor of bioinformatics, Arizona State University, USA
Lifang Wang
PhD
Associate Professor, BGI-research, Hangzhou, China
We are excited to inform you that we have launched Special Issue: Brain-Computer Interface. Hoping that your high-quality research outcomes will help us build Human Brain into benchmarks in the field.
In recent years, the rapid evolution of brain‑computer interface (BCI) research has led to transformative advances in decoding neural activity and translating it into actionable control signals, with profound implications for neurorehabilitation, assistive communication and cognitive monitoring in both research and clinical contexts. This special topic seeks to bring together high‑impact contributions that address fundamental theoretical insights, methodological innovations, and translational frameworks that collectively advance the science and engineering of BCI systems. Topics of interest include, but are not limited to: novel machine learning and signal processing approaches for neural decoding and representation learning; algorithmic strategies for cross‑individual and cross‑task generalization; principled integration of multimodal electrophysiological and behavioral data for cognitive state analysis; design and evaluation of closed‑loop, low‑latency, and adaptive BCI systems; next‑generation hardware and wearable interface technologies; and rigorous empirical studies assessing clinical efficacy, usability, and long‑term outcomes. We welcome both original research articles and comprehensive reviews that bridge basic neuroscience, computational modeling, engineering innovation, and clinical translation.
Welcome manuscripts focusing on (not limited to)：
Neural signal decoding
Real‑time interaction and closed‑loop control
Multimodal integration and cognitive state analysis
Clinical and rehabilitation applications
Brain data security analysis and interpretability frameworks
Embedded and wearable systems
Submission deadline: 2026-12-30
Guest Editor
Yuanli Zhao
MD
Professor and director of Department of Neurosurgery, Peking Union Medical College Hospital, China
Wanru Duan
MD
Professor of Department of Neurosurgery, Xuanwu Hospital Capital Medical University, China
We are excited to inform you that we have launched Special Issue: Cerebrovascular System and Neurodegenerative Diseases. Hoping that your high-quality research outcomes will help us build Human Brain into benchmarks in the field.
With the rapid aging of the global population, disorders affecting brain health have become a major public health challenge. Although cerebrovascular diseases and neurodegenerative disorders have traditionally been regarded as distinct clinical entities, increasing evidence indicates that vascular pathology and neurodegeneration frequently coexist and interact. Cerebral small vessel disease is now recognized as an active contributor to neurodegenerative processes rather than a passive substrate for cognitive impairment. We therefore invite reviews and original articles focusing on the cerebrovascular system and neurodegenerative diseases, including human clinical, biomarker, neuroimaging, and translational studies that explore underlying mechanisms and disease consequences, with particular emphasis on cerebral small vessel disease, dementia-related disorders, and emerging approaches for early detection and intervention in brain aging.
Submission deadline: 2026-9-30
Guest Editor
Gang Wang
MD, PhD
Renji Hospital, Shanghai Jiao Tong University School of Medicine, China.
Bo Wu
MD, PhD
West China school of Medicine, West China Hospital of Sichuan University, China.
We are excited to inform you that we have launched Special Issue: Electric Medicine for the Brain. Hoping that your high-quality research outcomes will help us build Human Brain into benchmarks in the field.
In recent years, with the rising incidence of neuropsychiatric disorders, there's a growing focus on making brain disorder treatments work better and helping patients experience better. This has put the spotlight on neuromodulation technologies as promising tools for treating both neurological and mental health conditions. This special issue focuses on both fundamental and applied research in electrical stimulation and neuromodulation techniques, with particular emphasis on underlying mechanisms and advancing the clinical translation of the neuromodulation technologies —like transcranial electrical stimulation and deep brain stimulation, and related novel technologies. Topics of interest include, but are not limited to, mechanistic investigations of electric medicine, precise targeting and localization strategies, optimization of personalized therapeutic approaches, development and evaluation of novel neuromodulation devices, and studies assessing clinical efficacy and safety. Both reviews and original articles are welcome.
Guest Editor
Zhipeng Liu
MD, PhD
Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, China
TiFei Yuan
PhD
Shanghai Mental Health Center; School of Psychology, Shanghai Jiao Tong University, China