# Visual categorisation of images of familiar objects based on their authenticity: an fMRI study

## TL;DR

This fMRI study shows that the brain distinguishes real from fake objects using early visual processing, particularly through texture and color features.

## Contribution

The study identifies early visual regions involved in distinguishing real from fake objects using fMRI.

## Key findings

- Significant activation in the collateral sulcus (CoS) when categorizing real objects, especially in color.
- Activation in the primary visual cortex (V1) for colored objects, particularly real ones.

## Abstract

Under most circumstances, we can rely visual information to quickly and accurately discriminate “real” objects (e.g., fresh fruit) from “fake” objects (e.g., plastic fruit). It is unclear, however, whether this distinction is made early along the ventral visual stream when basic object features such as colour (e.g., primary visual cortex; V1) and texture (e.g., collateral sulcus; COS) are being processed, or whether information regarding object authenticity is extracted in later visual or memory regions (e.g., perirhinal cortex, lateral occipital cortex). To examine this question, participants were placed in an fMRI scanner, and presented with 300 objects photographed in colour or greyscale. Half of the objects were fake, and the other half were real. The participant’s task was to categorise each image as presenting either a real or fake object. Broadly, our analyses revealed significant activation in CoS when participants categorised real objects, particularly when they were presented in colour. We also observed activation in V1 for coloured objects, particularly real ones. These results suggest that our seemingly intuitive ability to rapidly discriminate real from fake objects occurs at the early stages of visual processing, such as when the brain is extracting surface-feature information like texture (CoS) or colour (V1). Future studies could consider the time course of these neural events and probe the importance of cross-modal (e.g., audition and haptic) information underpinning feature extraction for distinguishing real from fake objects.

The online version contains supplementary material available at 10.1007/s00221-024-06989-3.