## 5 Discussion
Collectively, the aesthetic evaluation in the genuine context in this study triggered a more robust prefrontal negative wave, potentially due to the fact that the genuine is typically regarded as having higher cognitive and emotional values, whereas the fake is considered relatively deficient in this regard. The theory of two visual pathways suggests that the primate visual cortex can be separated into dorsal and ventral streams, which originate from the primary visual cortex (V1). The dorsal pathway extends toward the parietal cortex, passing through motion areas of medio-temporal (MT) and median superior temporal (MST). The ventral pathway proceeds through area V4 along the entire temporal cortex, reaching the area of inferotemporal (IT). These ventral and dorsal pathways are supported by parallel retino-thalamo-cortical inputs to V1, known as the Magno (M) and Parvocellular pathways (P) [60; 61; 62]. The Hierarchical Theory of Visual Perception proposes that the processing of visual information occurs in a sequential manner within the brain, starting from the detection of basic features at a low level and progressing to the analysis of complex shapes and motions at a higher level. Within the visual cortex of the brain, distinct regions (V1 to V5) are accountable for diverse visual tasks. V1 primarily receives input from the retina via the lateral geniculate nucleus (LGN) and is mainly involved in detecting fundamental features such as edges and temporal frequency [63; 64]. V2 and V3 cells are largely responsible for integrating and processing higher-order visual information, including aspects of motion and stereoscopic vision [65; 66; 67; 68]. V4 is predominantly associated with the advanced processing of colors, shapes, textures, and other visual features [69; 70], while V5 is mainly involved in motion perception and visual motion prediction [71]. In this study, ERP data revealed that the majority of feature-induced ERP data differences were primarily concentrated in the parietal and occipital regions. The ERP components activated by the composition feature, reflecting the overall information of the picture, in the parietal and parieto-occipital regions dissociated at approximately 50 ms. In contrast, the ERP components activated by the Gabor (Mean, Variance, Energy) filter feature, reflecting the texture frequency and direction of the picture, in the central parietal and parieto-occipital regions dissociated at approximately 70 ms. Specifically, Gabor-Mean predominantly activated the left parieto-occipital region, while Gabor-Energy mainly activated the right parieto-occipital region. The ERP components activated by the diagonal GLCM feature, reflecting the texture direction on the diagonal, in the parieto-occipital region dissociated at approximately 70 ms. Additionally, the ERP components activated by the tone feature, reflecting the overall gray level of the picture, and the Gabor-Energy feature in the parieto-occipital region dissociated at 200 ms. Finally, the ERP components activated by the horizontal GLCM feature, reflecting the horizontal direction in the occipital region dissociated at 500 ms. It can be inferred from the ERP data that the processing of features primarily occurred in the visual cortex of the brain (parietal and occipital regions), and the processing sequence followed the Global Precedence Hypothesis, with composition, tone, and global features (Gabor filters) being processed first, followed by local features (GLCM). Previous studies have also demonstrated that specific features (such as spatial frequency, human face, low-level visual information, etc.) can influence the amplitude of P1, reflecting the sensitivity to features in the early stages of visual processing [72; 73; 74]. The P2 component is involved in feature integration, attention, and preliminary object recognition, among other things. For example, an unattractive color combination can result in differences in the amplitude of the P200 component in the frontal, central, and parietal regions [75].