Integrating the Physical Environment Within a Population Neuroscience Perspective.

Area of Science:

• Population neuroscience
• Environmental psychology
• Epidemiology

Background:

• The environment profoundly influences brain development, behavior, and mental health.
• Existing research indicates nature exposure benefits cognition and stress, while urban living poses risks.
• Emerging concerns include extreme weather events and eco-anxiety.

Purpose of the Study:

• To review evidence on environmental impacts on population mental health.
• To identify knowledge gaps in measuring environmental exposures.
• To propose methods for future research on environmental influences on mental health.

Main Methods:

• Overview of neuroscientific and epidemiological studies.
• Focus on physical environment and population-level studies.
• Discussion of data sources: remote sensing, administrative, sensor, and social media data.
• Advocacy for area-level exposure measures for large-scale studies.
• Exploration of deep learning and high-resolution data integration.

Main Results:

• Nature exposure shows protective effects on cognitive function and stress reduction.
• Urban environments are linked to detrimental effects on mental health.
• Inconsistent exposure measures and small sample sizes limit current understanding.

Conclusions:

• Population-level studies are crucial for understanding long-term environmental impacts on mental health.
• Advanced data integration (e.g., deep learning) and detailed locational data can improve exposure assessment.
• Future research should aim to capture immediate emotional and neural responses to environmental factors.