Depression at IgMin Research | Medicine Group
Our aim is to build bridges between fields to strengthen the pace of scientific advancements.
About
Depression is a complex and pervasive mental health condition that significantly affects mood, cognition, and overall well-being. This field of study seeks to understand the biological, psychological, and social factors contributing to the onset and progression of depressive disorders. Researchers in this area explore a wide range of topics, from the neurochemical imbalances involved in depression to the impact of genetics and environmental stressors. Advancements in the understanding of depression are crucial for developing effective diagnostic tools and therapeutic interventions.
The study of Depression encompasses not only the biological underpinnings but also the psychosocial dynamics that influence mental health. By integrating insights from neuroscience, psychiatry, and cognitive-behavioral sciences, this field aims to improve therapeutic strategies, ranging from pharmacological treatments to psychotherapy and lifestyle interventions. Research in depression is vital for enhancing patient outcomes, reducing the global burden of mental illness, and promoting resilience and mental well-being.
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
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- Examining the Causal Connection between Lipid-lowering Medications and Malignant Meningiomas through Drug-target Mendelian Randomization Analysis
- The Lukala Cement Plant's Life Cycle Analysis: Towards a More Sustainable Production
- Unraveling Cognitive Aging: A Comprehensive Narrative Review of the Seattle Longitudinal Study and Recent Breakthroughs
- Ammonia: A Trend of Dry Deposition in Vietnam
- Enhancing Missing Values Imputation through Transformer-Based Predictive Modeling
