About
Brain Disorders encompass a wide range of conditions that affect the structure, function, and overall health of the brain. This dynamic field of study integrates insights from neuroscience, genetics, psychiatry, and molecular biology to unravel the complexities of brain dysfunctions such as Alzheimer's disease, Parkinson's disease, epilepsy, and traumatic brain injury. Researchers in this area focus on understanding the underlying causes, diagnostic biomarkers, and therapeutic interventions to improve outcomes for individuals affected by brain disorders. The study of brain disorders is crucial for advancing knowledge about cognitive decline, mental health, and neurological impairments.
By leveraging cutting-edge technologies, such as neuroimaging, genomics, and computational models, researchers are gaining new insights into the mechanisms that drive these conditions. This multidisciplinary approach is essential for developing innovative treatments, preventive strategies, and personalized care for patients suffering from brain disorders. The ultimate goal is to enhance brain health, improve quality of life, and reduce the global burden of neurological diseases.

Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Investigation of Lateral Vibrations in Turbine-generator Unit 5 of the Inga 2 Hydroelectric Power Plant
- Effect of Rainfall on Water Parameters in Recreational Lakes in Heidelberg, Germany
- Application of Virtual Reality (VR) in Facility Management Competency-based Training (CBT) in the Era of Industrie 5.0
- From Traditionalism to Algorithms: Embracing Artificial Intelligence for Effective University Teaching and Learning
- Examining the Causal Connection between Lipid-lowering Medications and Malignant Meningiomas through Drug-target Mendelian Randomization Analysis
- Enhancing Missing Values Imputation through Transformer-Based Predictive Modeling
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