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Visual imagery of familiar people and places in category selective cortex.

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Titel: Visual imagery of familiar people and places in category selective cortex.
Autoren: Scrivener CL; School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK.; School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK., Teed JA; School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK., Silson EH; School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK.
Quelle: Neuroscience of consciousness [Neurosci Conscious] 2025 Apr 16; Vol. 2025 (1), pp. niaf006. Date of Electronic Publication: 2025 Apr 16 (Print Publication: 2025).
Publikationsart: Journal Article
Sprache: English
Info zur Zeitschrift: Publisher: Oxford University Press Country of Publication: England NLM ID: 101679109 Publication Model: eCollection Cited Medium: Internet ISSN: 2057-2107 (Electronic) Linking ISSN: 20572107 NLM ISO Abbreviation: Neurosci Conscious Subsets: PubMed not MEDLINE
Imprint Name(s): Original Publication: [Oxford] : Oxford University Press, [2015]-
Abstract: Visual imagery is a dynamic process recruiting a network of brain regions. We used electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) fusion to investigate the dynamics of category selective imagery in medial parietal cortex (MPC), ventral temporal cortex (VTC), and primary visual cortex (V1). Subjects attended separate EEG and fMRI sessions where they created mental images of personally familiar people and place stimuli. The fMRI contrast comparing people and place imagery replicated previous findings of category-selectivity in the medial parietal cortex. In addition, greater activity for places was found in the ventral and lateral place memory areas, the frontal eye fields, the inferior temporal sulcus, and the intraparietal sulcus. In contrast, greater activity for people was found in the fusiform face area and the right posterior superior temporal sulcus. Using multivariate decoding analysis in fMRI, we could decode individual stimuli within the preferred category in VTC. A more complex pattern emerged in MPC, which represented information that was not restricted to the preferred category. We were also able to decode category and individual stimuli in the EEG data. EEG-fMRI fusion indicated similar timings in MPC and VTC activity during imagery. However, in the VTC, fusion was higher in place selective regions during an early time window, and higher in face selective regions in a later time window. In contrast, fusion correlations in V1 occurred later during the imagery period, possibly reflecting the top-down progression of mental imagery from category-selective regions to primary visual cortex.
(© The Author(s) 2025. Published by Oxford University Press.)
Competing Interests: None declared.
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Contributed Indexing: Keywords: EEG–MRI fusion; category selectivity; mental imagery
Entry Date(s): Date Created: 20250417 Latest Revision: 20250709
Update Code: 20250709
PubMed Central ID: PMC12003044
DOI: 10.1093/nc/niaf006
PMID: 40241880
Datenbank: MEDLINE
Beschreibung
Abstract:Visual imagery is a dynamic process recruiting a network of brain regions. We used electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) fusion to investigate the dynamics of category selective imagery in medial parietal cortex (MPC), ventral temporal cortex (VTC), and primary visual cortex (V1). Subjects attended separate EEG and fMRI sessions where they created mental images of personally familiar people and place stimuli. The fMRI contrast comparing people and place imagery replicated previous findings of category-selectivity in the medial parietal cortex. In addition, greater activity for places was found in the ventral and lateral place memory areas, the frontal eye fields, the inferior temporal sulcus, and the intraparietal sulcus. In contrast, greater activity for people was found in the fusiform face area and the right posterior superior temporal sulcus. Using multivariate decoding analysis in fMRI, we could decode individual stimuli within the preferred category in VTC. A more complex pattern emerged in MPC, which represented information that was not restricted to the preferred category. We were also able to decode category and individual stimuli in the EEG data. EEG-fMRI fusion indicated similar timings in MPC and VTC activity during imagery. However, in the VTC, fusion was higher in place selective regions during an early time window, and higher in face selective regions in a later time window. In contrast, fusion correlations in V1 occurred later during the imagery period, possibly reflecting the top-down progression of mental imagery from category-selective regions to primary visual cortex.<br /> (© The Author(s) 2025. Published by Oxford University Press.)
ISSN:2057-2107
DOI:10.1093/nc/niaf006