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Objective: To identify the phenomenological features and neural correlates of visual illusions in Parkinson's disease (PD).
Methods: Ninety-three patients with PD were assessed via questionnaires regarding visual illusions and behavioral symptoms, and neuropsychological tests, motor assessments and 18-F fluorodeoxyglucose-positron emission tomography (FDG-PET) were performed. The relationship between visual illusions or hallucinations and regional cerebral glucose metabolism was investigated using partial least squares (PLS) correlation and conventional mass-univariate analyses.
Results: Kinetopsia, in which stationary objects are perceived as being in motion, and object misidentification illusions, in which objects are misperceived as different objects, were the most common types of visual illusions. Kinetopsia and object misidentification illusions were identified in 24 patients (25.8%) and 17 patients (18.3%), respectively. Eleven patients with kinetopsia and 9 patients with object misidentification illusions had visual hallucinations. Kinetopsia and visual hallucinations were associated with hypometabolism in the temporo-parietal cortices, whereas object misidentification illusions were associated with hypometabolism in the early visual cortex, as well as the temporo-parietal cortices.
Conclusions: Our findings suggest that kinetopsia and object misidentification illusions are the most common types of visual illusions in PD. Despite the phenomenological diversity of visual illusions and hallucinations in PD, all of these symptoms are associated with dysfunction of the temporo-parietal cortices, which support visual spatial processing, rather than dysfunction of the ventral temporo-occipital cortices, which supports visual object recognition.
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http://dx.doi.org/10.1016/j.parkreldis.2018.05.023 | DOI Listing |
Exp Brain Res
September 2025
Siena Brain Investigation and Neuromodulation Lab (Si-BIN Lab), Department of Medicine, Surgery and Neuroscience, Neurology and Clinical Neurophysiology Section, University of Siena, Siena, Italy.
Postdiction is a perceptual phenomenon where the perception of an earlier stimulus is influenced by a later one. This effect is commonly studied using the 'rabbit illusion', in which temporally regular, but spatially irregular, stimuli are perceived as equidistant. While previous research has focused on short inter-stimulus intervals (100-200 ms), the role of longer intervals, which may engage late attentional processes, remains unexplored.
View Article and Find Full Text PDFExp Brain Res
September 2025
Faculty of Kinesiology, Sport, and Recreation, University of Alberta, 4-218 Van Vliet Complex, Edmonton, AB, T6G 2H9, Canada.
Eye Brain
September 2025
National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, People's Republic of China.
Purpose: To investigate the impact of mild visual acuity loss on the Müller-Lyer illusion in adults and evaluate its potential as a clinical indicator for visual-cognitive integration mechanisms.
Methods: Three experiments were conducted. Experiment 1 measured illusion intensity in 49 young adults (25.
Psychol Res
September 2025
School of Psychology, Macquarie University, Sydney, NSW2109, Australia.
Internal bodily sensations such as an empty rumbling stomach can lead to enhanced desire for food - hunger. As an empty rumbling stomach is caused by digestive physiology, it is often presumed that such physiological processes also cause hunger. However, psychological processes could equally generate hunger (e.
View Article and Find Full Text PDFAuton Agent Multi Agent Syst
September 2025
University of Groningen, Groningen, The Netherlands.
Unlabelled: The popularity of an opinion in one's direct circles is not necessarily a good indicator of its popularity in one's entire community. Network structures make local information about global properties of the group potentially inaccurate, and the way a social network is wired constrains what kind of information distortion can actually occur. In this paper, we discuss which classes of networks allow for a large enough proportion of the population to get a wrong enough impression about the overall distribution of opinions.
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