Mapping brain neural networks in stress brain connectivity
Al-Hassan Soliman Wadan1, Mohamed Abdelsattar Ahmed2, Nasrollah Moradikor3
1Oral Biology Department, Faculty of Dentistry, Galala University, Galala Plateau, Attaka, Suez Governorate, Egypt.
Progress in Brain Research
|April 13, 2025
Summary
Understanding the neurobiology of stress is crucial for treating stress-related neurological disorders. This chapter explores brain neural networks under stress, highlighting challenges and emerging functional neuroimaging techniques.
Area of Science:
- Neuroscience
- Psychiatry
- Neurology
Background:
- Stress significantly damages the central nervous system (CNS), increasing the risk of neurological and psychiatric disorders.
- Studying stress impacts is complex due to variations in stressors, perception, and prior exposure, further influenced by gender, age, and timing.
- Current research often uses invasive methods, limiting human application and therapeutic adaptation.
Purpose of the Study:
- To provide insight into the neurobiology of stress.
- To discuss brain neural networks under stress.
- To explore alternative, non-invasive methodologies for studying stress in the brain.
Main Methods:
- Review of established neuroscience methodologies: behavioral, physiological, genetic, and cellular/molecular.
- Introduction of functional neuroimaging as a non-invasive alternative.
- Focus on brain neural networks and stressor interactions.
Main Results:
- Stress poses a significant global disease burden, necessitating deeper understanding.
- Challenges in stress research include multifactorial influences and methodological limitations.
- Functional neuroimaging offers a promising avenue for human-relevant stress research.
Conclusions:
- Further research into the neurobiology of stress is essential for developing effective treatments for associated disorders.
- Functional neuroimaging techniques are emerging as vital tools for studying brain networks under stress.
- Addressing the complexities of stress response requires integrated approaches considering various influencing factors.
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