Fractals in nature exhibit self-similarity and scale invariance and are known to influence emotion, recovery, and visual interest.However, EEG-based evidence -especially comparisons between exact and statistical fractals across different complexity levels -remains limited.This study investigated EEG responses to biophilic fractal patterns by examining differences in fractal type (exact vs. statistical) and complexity (D value: Medium-Low [ML] vs. Medium-High [MH]).Eight fractal patterns were presented to participants, and Relative Alpha to Beta (RAB) values were analyzed across four brain regions (F3-F4, T5-T6, P3-P4, O1-O2).Results revealed that exact and statistical fractals produced opposite RAB trends regarding complexity: exact fractals showed higher RAB in ML than MH in F3-F4, whereas statistical fractals showed higher RAB in MH than ML in T5-T6 and O1-O2.Under MH conditions, statistical fractals yielded consistently higher RAB than exact fractals across all regions.Regionally, F3-F4 responded to complexity in exact fractals, T5-T6 and O1-O2 to statistical fractal complexity, and P3-P4 to type differences under MH conditions.These findings highlight the importance of considering fractal type, complexity, and brain region when interpreting EEG responses.The significance of this study lies in showing that both the type and the complexity of the fractal patterns account for differences in EEG RAB responses.
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Wang et al. (2026) studied this question.
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