Friday, December 20, 2024

Paranoia may be, in part, a visual problem

Good news!

"Could complex beliefs like paranoia have roots in something as basic as vision? A new Yale study finds evidence that they might. 

When completing a visual perception task, in which participants had to identify whether one moving dot was chasing another moving dot, those with greater tendencies toward paranoid thinking (believing others intend them harm) and teleological thinking (ascribing excessive meaning and purpose to events) performed worse than their counterparts, the study found. Those individuals more often — and confidently — claimed one dot was chasing the other when it wasn’t.

The findings ... suggest that, in the future, testing for illnesses like schizophrenia could be done with a simple eye test. ..."

From the abstract:
"Paranoia (believing others intend harm) and excess teleological thinking (ascribing too much purpose) are non-consensual beliefs about agents. Human vision rapidly detects agents and their intentions. Might paranoia and teleology have roots in visual perception? Using displays that evoke the impression that one disc (‘wolf’) is chasing another (‘sheep’), we find that paranoia and teleology involve perceiving chasing when there is none (studies 1 and 2) — errors we characterize as social hallucinations. When asked to identify the wolf or the sheep (studies 3, 4a, and 4b), we find high-paranoia participants struggled to identify sheep, while high-teleology participants were impaired at identifying wolves — both despite high-confidence. Both types of errors correlated with hallucinatory percepts in the real world. Although paranoia and teleology both involve excess perception of agency, the current results collectively suggest a perceptual distinction between the two, perhaps with clinical import."

Paranoia may be, in part, a visual problem | Yale News "Could an eye test assess risk of psychosis? A study linking paranoia and teleological thinking to visual perception suggests it might."



Fig. 2: Graphical representation of the Animacy Detection Task.


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