Natural Dopamine: Nature’s Seven DIURNAL Environmental Enrichment Properties in Changing Visual Complexity

Time spent in unchanging environments is associated with poorer brain, cognitive and mental health outcomes, while environmental enrichment for humans is measured as how much nature is present rather than how it changes. This study quantified nature’s changing visual complexity using a large-language-model scoring method validated against a deep-learning complexity metric previously tested using event-related potentials. Photos were taken of a natural scene, a tree, and the sky across minutes, days, and seasons (1,115 photographs; 2024 to 2026). The analysis identified seven quantitative properties describing nature’s dynamic environmental enrichment in changing visual complexity: Dichotomy, Inclination, Unpredictability, Renewal, Net balance, Amplitude, and Level (DIURNAL). A quantitative simulation then showed that a natural view offers more change than indoor and urban views, consistent with the argument that unchanging environments are detrimental to the brain, hypothesised here to act through a dopaminergic pathway. DIURNAL opens questions for biophilic design and for how neurotypical and neurodivergent brains respond to change in visual complexity in nature, digital environments and built environments, where design varies by region.

Authors

Publication Details

Journal
Apollo
Published
2026-10-30
DOI
https://doi.org/10.17863/cam.136393
Primary Topic
Urban Green Space and Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Natural Dopamine: Nature’s Seven DIURNAL Environmental Enrichment Properties in Changing Visual Complexity

Mohamed Khalil
Apollo
Urban Green Space and Health
article

Natural Dopamine: Nature’s Seven DIURNAL Environmental Enrichment Properties in Changing Visual Complexity

Mohamed Khalil
article en

Abstract

Time spent in unchanging environments is associated with poorer brain, cognitive and mental health outcomes, while environmental enrichment for humans is measured as how much nature is present rather than how it changes. This study quantified nature’s changing visual complexity using a large-language-model scoring method validated against a deep-learning complexity metric previously tested using event-related potentials. Photos were taken of a natural scene, a tree, and the sky across minutes, days, and seasons (1,115 photographs; 2024 to 2026). The analysis identified seven quantitative properties describing nature’s dynamic environmental enrichment in changing visual complexity: Dichotomy, Inclination, Unpredictability, Renewal, Net balance, Amplitude, and Level (DIURNAL). A quantitative simulation then showed that a natural view offers more change than indoor and urban views, consistent with the argument that unchanging environments are detrimental to the brain, hypothesised here to act through a dopaminergic pathway. DIURNAL opens questions for biophilic design and for how neurotypical and neurodivergent brains respond to change in visual complexity in nature, digital environments and built environments, where design varies by region.

Apollo
Openalex Percentile: Top 18%
Urban Green Space and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon