ArticleSchizophrenia (Heidelberg, Germany)2024
The Gaze of Schizophrenia Patients Captured by Bottom-up Saliency.
Article in Schizophrenia (Heidelberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Computational Characterization of Decision Making During Trans-saccadic Visual Perception.bioRxiv : the preprint server for biology · 2026Article
- Retinal Origins of Aberrant Salience in Schizophrenia: The Perceptual Theory.Biological psychiatry global open science · 2026Review
- Computational modeling of visual salience alteration and its application to eye-movement data.Frontiers in neuroscience · 2025Article
- Fixational eye movements and their associated evoked potentials during natural vision are altered in schizophrenia.Schizophrenia research. Cognition · 2024Article
- Neuroscientific insights about computer vision models: a concise review.Biological cybernetics · 2024Review
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Schizophrenia (SCHZ) notably impacts various human perceptual modalities, including vision. Prior research has identified marked abnormalities in perceptual organization in SCHZ, predominantly attributed to deficits in bottom-up processing. Our study introduces a novel paradigm to differentiate the roles of top-down and bottom-up processes in visual perception in SCHZ. We analysed eye-tracking fixation ground truth maps from 28 SCHZ patients and 25 healthy controls (HC), comparing these with two mathematical models of visual saliency: one bottom-up, based on the physical attributes of images, and the other top-down, incorporating machine learning. While the bottom-up (GBVS) model revealed no significant overall differences between groups (beta = 0.01, p = 0.281, with a marginal increase in SCHZ patients), it did show enhanced performance by SCHZ patients with highly salient images. Conversely, the top-down (EML-Net) model indicated no general group difference (beta = -0.03, p = 0.206, lower in SCHZ patients) but highlighted significantly reduced performance in SCHZ patients for images depicting social interactions (beta = -0.06, p < 0.001). Over time, the disparity between the groups diminished for both models. The previously reported bottom-up bias in SCHZ patients was apparent only during the initial stages of visual exploration and corresponded with progressively shorter fixation durations in this group. Our research proposes an innovative approach to understanding early visual information processing in SCHZ patients, shedding light on the interplay between bottom-up perception and top-down cognition.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.