Brain Network Disorders

Brain Network Disorders (BND) is an open access, peer-reviewed journal sponsored by the Chinese Medical Association, managed by Xuanwu Hospital Capital Medical University. The Journal publishes Original Article, Review, Short Communication, Case Report, Correspondence, Editorial, Practice Guidelines, Systematic Review, and Meta Analysis. The interest of the Journal encompasses a broad range of cross-disciplinary studies that bridge the knowledge gap between bench science and bedside clinical applications. The aim is to accelerate the translation of emerging data on chronic brain disorders, form theory to practice, by creating a platform for rapid exchange of information and ideas among investigators and clinicians representing diverse fields including but not limited to:

• Neurology, neuroscience, psychiatry, neuroimage, and epidemiology

• Neurodegenerative diseases and chronic brain aging disorders, cerebrovascular diseases, stroke, epilepsy, movement disorders, cognitive disorders, psychological abnormalities, and care research

• Neuroimmunology, neurogenetics, evolutionary neuroscience, neuro-oncology, molecular and cellular neuroscience, neurophysiology, behavioral neurology, pharmacology, neuropathology, functional neuroanatomy, geriatrics, and electrophysiology

• Functional neurosurgery and neurology, brain–computer interface, brain network, connectomic mechanisms, and circuit disorders

• Artificial intelligence, machine learning, and computational biology

• Bioengineering and other technologies for general brain diseases

• Omics-based studies

• Other related topics
  

The primary objective of the BND Journal is to establish a distinguished international forum for the exchange of information and the swift dissemination of emerging knowledge on connectome-related brain disorders. The Journal specifically aims to foster diverse conceptual models to characterize a variety of neuropsychiatric disorders, collectively termed "dysconnectivity syndromes." This goal is pursued by encouraging the development of novel paradigms that define these conditions not solely based on localized lesions but also in terms of dysfunctions in multiple interconnected systems and neural networks. The Journal seeks to contribute to constructing a more comprehensive network map, extending beyond current connectome efforts focused on structural connectivity, by incorporating a broad spectrum of systems or variables that influence functional connectivity dynamics in the healthy brain. These factors include genomic, vascular-metabolic, immune-inflammatory, cell signaling, co-morbid conditions, nutrition, endocrine, and other lifestyle elements.

Recent advancements in quantum computing, machine learning algorithms, and in silico modeling systems have begun to provide essential tools to address the complexities of brain network disorders. Consequently, the Journal advocates for developing innovative conceptual models derived from complexity sciences and general system theory to elucidate the causal or mechanistic relationships between these intricate brain disorders' biological and behavioral aspects. This approach allows for the simulation of interactions and the respective influence of various variables in the manifestation of dysconnectivity syndromes as "systems failures" and the clinical-behavioral features of these neuropsychiatric conditions as "emergent behaviors" of complex systems. The Journal anticipates that this line of inquiry will pave the way for new methodologies to (a) explain the etiologies, (b) develop more precise diagnostic tools, and (c) discover effective interventions for these multifaceted brain disorders.

The BND Journal fosters a global exchange of pioneering research and swift dissemination of emerging knowledge on connectome-related brain disorders. By championing the development of diverse conceptual models and encouraging the formulation of novel paradigms, the Journal aims to deepen our understanding of dysconnectivity syndromes. The integration of recent technological advancements, such as quantum computing, machine learning algorithms, and in silico modeling, underscores the Journal's commitment to addressing the complexities of brain network disorders with unprecedented precision.

The BND Journal not only seeks to elucidate the intricate mechanisms underlying these disorders but also aspires to pave the way for more accurate diagnostics and effective interventions. By shedding light on the interactions among key variables that maintain functional connectivity in the healthy brain, the Journal contributes to advancing the field of neuropsychiatry and improving clinical outcomes. Through its dedication to innovative research, the Brain Network Disorders Journal will undoubtedly play a pivotal role in transforming our approach to understanding and treating complex brain disorders.