About this Research Topic
Mental illness is a significant cause of morbidity and mortality globally, with its burden continually increasing. The World Health Organization emphasizes the urgent need for accessible and scalable preventive strategies due to the limitations of current treatment modalities. Given the rising mental health burden in low and middle-income countries, there is an increasing need for low-cost and task-shared interventions.
Biomarkers, including physiological, neurophysiological, and neurobiochemical measures, have gained prominence in monitoring responses to psychiatric interventions. These biomarkers offer objective insights into the efficacy of treatments, enabling the tracking of patient progress and the refinement of therapeutic approaches. Current literature often focuses on identifying biomarkers for psychiatric conditions such as depression or anxiety but less frequently explores their utility in evaluating treatment response.
This Research Topic aims to bridge this gap by inviting contributions that utilize biomarkers to measure the response to psychiatric interventions. By highlighting innovative research and insightful reviews, we seek to expand the understanding and application of biomarkers in clinical practice, ultimately improving patient outcomes. The following topics will be considered:
1. Identification of various biomarkers and their efficacy in monitoring psychiatric intervention responses through systematic literature reviews:
• Heart rate variability (HRV) as an indicator of treatment efficacy in depression and anxiety disorders
• Electroencephalogram (EEG) measures to track changes in brain activity pre- and post-intervention
• Genetic and blood-based biomarkers as predictors of therapeutic response
• Comparative studies of biomarker effectiveness across different psychiatric conditions and interventions.
2. Integration of biomarkers into existing clinical and community-based mental health initiatives:
• Use of HRV and EEG in routine clinical practice to monitor patient progress
• Application of genetic and blood-based biomarkers in personalized treatment plans
• Incorporation of biomarker data into community mental health programs to enhance intervention strategies
• Patient and clinician perspectives on the use of biomarkers in treatment monitoring.
3. Development and implementation of new methodologies for utilizing biomarkers in psychiatric intervention research:
• Feasibility studies on the integration of advanced biomarker technologies in clinical settings
• Implementation and validation of biomarker-based monitoring systems
• Development of protocols for the collection and analysis of biomarker data
• Longitudinal studies evaluating the long-term benefits of biomarker-guided interventions.
We invite researchers and clinicians to contribute original research articles, reviews, and case studies that advance the field of psychiatric biomarkers. By focusing on the application of these measures in real-world settings, this Research Topic aims to foster a deeper understanding of how biomarkers can enhance the effectiveness of psychiatric interventions.
Biomarkers, including physiological, neurophysiological, and neurobiochemical measures, have gained prominence in monitoring responses to psychiatric interventions. These biomarkers offer objective insights into the efficacy of treatments, enabling the tracking of patient progress and the refinement of therapeutic approaches. Current literature often focuses on identifying biomarkers for psychiatric conditions such as depression or anxiety but less frequently explores their utility in evaluating treatment response.
This Research Topic aims to bridge this gap by inviting contributions that utilize biomarkers to measure the response to psychiatric interventions. By highlighting innovative research and insightful reviews, we seek to expand the understanding and application of biomarkers in clinical practice, ultimately improving patient outcomes. The following topics will be considered:
1. Identification of various biomarkers and their efficacy in monitoring psychiatric intervention responses through systematic literature reviews:
• Heart rate variability (HRV) as an indicator of treatment efficacy in depression and anxiety disorders
• Electroencephalogram (EEG) measures to track changes in brain activity pre- and post-intervention
• Genetic and blood-based biomarkers as predictors of therapeutic response
• Comparative studies of biomarker effectiveness across different psychiatric conditions and interventions.
2. Integration of biomarkers into existing clinical and community-based mental health initiatives:
• Use of HRV and EEG in routine clinical practice to monitor patient progress
• Application of genetic and blood-based biomarkers in personalized treatment plans
• Incorporation of biomarker data into community mental health programs to enhance intervention strategies
• Patient and clinician perspectives on the use of biomarkers in treatment monitoring.
3. Development and implementation of new methodologies for utilizing biomarkers in psychiatric intervention research:
• Feasibility studies on the integration of advanced biomarker technologies in clinical settings
• Implementation and validation of biomarker-based monitoring systems
• Development of protocols for the collection and analysis of biomarker data
• Longitudinal studies evaluating the long-term benefits of biomarker-guided interventions.
We invite researchers and clinicians to contribute original research articles, reviews, and case studies that advance the field of psychiatric biomarkers. By focusing on the application of these measures in real-world settings, this Research Topic aims to foster a deeper understanding of how biomarkers can enhance the effectiveness of psychiatric interventions.
Keywords: biomarkers, intervention response, psychiatric interventions
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
