دورية أكاديمية

Neural networks underlying visual illusions: An activation likelihood estimation meta-analysis

التفاصيل البيبلوغرافية
العنوان: Neural networks underlying visual illusions: An activation likelihood estimation meta-analysis
المؤلفون: Alessandro von Gal, Maddalena Boccia, Raffaella Nori, Paola Verde, Anna Maria Giannini, Laura Piccardi
المصدر: NeuroImage, Vol 279, Iss , Pp 120335- (2023)
بيانات النشر: Elsevier, 2023.
سنة النشر: 2023
المجموعة: LCC:Neurosciences. Biological psychiatry. Neuropsychiatry
مصطلحات موضوعية: Visual illusions, Visual perception, Perceptual inference, ALE meta-analysis, fMRI, Schizophrenia, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
الوصف: Visual illusions have long been used to study visual perception and contextual integration. Neuroimaging studies employ illusions to identify the brain regions involved in visual perception and how they interact. We conducted an Activation Likelihood Estimation (ALE) meta-analysis and meta-analytic connectivity modeling on fMRI studies using static and motion illusions to reveal the neural signatures of illusory processing and to investigate the degree to which different areas are commonly recruited in perceptual inference. The resulting networks encompass ventral and dorsal regions, including the inferior and middle occipital cortices bilaterally in both types of illusions. The static and motion illusion networks selectively included the right posterior parietal cortex and the ventral premotor cortex respectively. Overall, these results describe a network of areas crucially involved in perceptual inference relying on feed-back and feed-forward interactions between areas of the ventral and dorsal visual pathways. The same network is proposed to be involved in hallucinogenic symptoms characteristic of schizophrenia and other disorders, with crucial implications in the use of illusions as biomarkers.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1095-9572
Relation: http://www.sciencedirect.com/science/article/pii/S105381192300486X; https://doaj.org/toc/1095-9572
DOI: 10.1016/j.neuroimage.2023.120335
URL الوصول: https://doaj.org/article/f7d8fec0994740aa9bad13730603733d
رقم الأكسشن: edsdoj.f7d8fec0994740aa9bad13730603733d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:10959572
DOI:10.1016/j.neuroimage.2023.120335