Academic Journal
Non-invasive mapping of the temporal processing hierarchy in the human visual cortex.
| Τίτλος: | Non-invasive mapping of the temporal processing hierarchy in the human visual cortex. |
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| Συγγραφείς: | Eickhoff K; Spinoza Centre for Neuroimaging, Amsterdam, the Netherlands.; Computational Cognitive Neuroscience and Neuroimaging, Netherlands Institute for Neuroscience, Amsterdam, the Netherlands.; Experimental and Applied Psychology, Vrije Universiteit, Amsterdam, the Netherlands., Hillebrand A; Clinical Neurophysiology and Magnetoencephalography Centre, Amsterdam UMC, Amsterdam, the Netherlands.; Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands.; Amsterdam Neuroscience, Systems and Network Neuroscience, Amsterdam, the Netherlands., Knapen T; Spinoza Centre for Neuroimaging, Amsterdam, the Netherlands.; Computational Cognitive Neuroscience and Neuroimaging, Netherlands Institute for Neuroscience, Amsterdam, the Netherlands.; Experimental and Applied Psychology, Vrije Universiteit, Amsterdam, the Netherlands., de Jong MC; Spinoza Centre for Neuroimaging, Amsterdam, the Netherlands.; Computational Cognitive Neuroscience and Neuroimaging, Netherlands Institute for Neuroscience, Amsterdam, the Netherlands., Dumoulin SO; Spinoza Centre for Neuroimaging, Amsterdam, the Netherlands.; Computational Cognitive Neuroscience and Neuroimaging, Netherlands Institute for Neuroscience, Amsterdam, the Netherlands.; Experimental and Applied Psychology, Vrije Universiteit, Amsterdam, the Netherlands.; Experimental Psychology, Utrecht University, Utrecht, the Netherlands. |
| Πηγή: | PLoS computational biology [PLoS Comput Biol] 2026 Jul 10; Vol. 22 (7), pp. e1014434. Date of Electronic Publication: 2026 Jul 10 (Print Publication: 2026). |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: San Francisco, CA : Public Library of Science, [2005]- |
| Ιατρικοί όροι (MeSH): | Visual Cortex*/physiology , Visual Cortex*/diagnostic imaging , Brain Mapping*/methods , Visual Perception*/physiology, Magnetoencephalography/methods ; Magnetic Resonance Imaging/methods ; Visual Fields/physiology ; Humans ; Models, Neurological ; Female ; Male ; Adult ; Computational Biology |
| Περίληψη: | Vision, and brain processing more broadly, is inherently dynamic across space and time, so understanding brain function requires consideration of both spatial and temporal dimensions. However, simultaneously capturing the fine spatial details and the rapid temporal dynamics of visual processing remains a major challenge, resulting in a gap in our understanding of spatiotemporal dynamics. Here, we introduce a forward modeling technique that bridges high-spatial resolution fMRI with high-temporal resolution MEG, enabling us to non-invasively estimate different levels of the visual hierarchy in humans and their involvement in visual processing with millisecond precision. Using fMRI, levels of the visual hierarchy were identified by measuring individuals' population receptive fields and determining visual field maps. We predicted how much the activity patterns in each visual field map would contribute to brain responses measured with MEG. By comparing these predicted responses with the measured MEG responses, we assessed how much a given visual field map contributed to the measured MEG response, and, most importantly, when. We combined information from all MEG sensors and revealed a cortical processing hierarchy across visual field maps. We validated the method using cross-validations and demonstrated that the model generalized across MEG sensor types, stimulus shapes, and was robust to the number of visual field maps included in the model. The primary visual cortex captured most of the variance in the MEG sensors and did so earlier in time than extrastriate regions. We effectively combined the advantages of two very different neuroimaging techniques, opening avenues for answering research questions that require recordings with high spatiotemporal detail. By bridging traditionally separate areas of research, our approach helps close longstanding gaps in our understanding of brain function. (Copyright: © 2026 Eickhoff et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.) |
| Competing Interests: | The authors have declared that no competing interests exist. |
| Entry Date(s): | Date Created: 20260710 Date Completed: 20260717 Latest Revision: 20260726 |
| Update Code: | 20260726 |
| PubMed Central ID: | PMC13379088 |
| DOI: | 10.1371/journal.pcbi.1014434 |
| PMID: | 42430453 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1014434 |