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A prospective multi-center study quantifying visual inattention in delirium using generative models of the visual processing stream.
Al-Hindawi, Ahmed; Vizcaychipi, Marcela; Demiris, Yiannis.
Affiliation
  • Al-Hindawi A; Personal Robotics Laboratory, Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK. a.al-hindawi@imperial.ac.uk.
  • Vizcaychipi M; Department of Anaesthesia, Pain Medicine and Intensive Care, Chelsea and Westminster Hospital NHS Foundation Trust, London, SW10 9NH, UK. a.al-hindawi@imperial.ac.uk.
  • Demiris Y; Department of Anaesthesia, Pain Medicine and Intensive Care, Chelsea and Westminster Hospital NHS Foundation Trust, London, SW10 9NH, UK.
Sci Rep ; 14(1): 15698, 2024 07 08.
Article in En | MEDLINE | ID: mdl-38977712
ABSTRACT
The visual attentional deficits in delirium are poorly characterized. Studies have highlighted neuro-anatomical abnormalities in the visual processing stream but fail at quantifying these abnormalities at a functional level. To identify these deficits, we undertook a multi-center eye-tracking study where we recorded 210 sessions from 42 patients using a novel eye-tracking system that was made specifically for free-viewing in the (ICU); each session lasted 10 min and was labeled with the delirium status of the patient using the Confusion Assessment Method in ICU (CAM-ICU). To analyze this data, we formulate the task of visual attention as a hierarchical generative process that yields a probabilistic distribution of the location of the next fixation. This distribution can then be compared to the measured patient fixation producing a correctness score which is tallied compared across delirium status. This analysis demonstrated that the visual processing system of patients suffering from delirium is functionally restricted to a statistically significant degree. This is the first study to explore the potential mechanisms underpinning visual inattention in delirium and suggests a new target of future research into a disease process that affects one in four hospitalized patients with severe short and long-term consequences.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Attention / Visual Perception / Delirium Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Sci Rep Year: 2024 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Attention / Visual Perception / Delirium Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Sci Rep Year: 2024 Document type: Article Country of publication: