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Layer-Specific fMRI Reflects Different Neuronal Computations at Different Depths in Human V1
Open accessAbstract
Recent work has established that cerebral blood flow is regulated at a spatial scale that can be resolved by high field fMRI to show cortical columns in humans. While cortical columns represent a cluster of neurons with similar response properties (spanning from the pial surface to the white matter), important information regarding neuronal interactions and computational processes is also contained within a single column, distributed across the six cortical lamina. A basic understanding of underlying neuronal circuitry or computations may be revealed through investigations of the distribution of neural responses at different cortical depths. In this study, we used T(2)-weighted imaging with 0.7 mm (isotropic) resolution to measure fMRI responses at different depths in the gray matter while human subjects observed images with either recognizable or scrambled (physically impossible) objects. Intact and scrambled images were partially occluded, resulting in clusters of activity distributed across primary visual cortex. A subset of the identified clusters of voxels showed a preference for scrambled objects over intact; in these clusters, the fMRI response in middle layers was stronger during the presentation of scrambled objects than during the presentation of intact objects. A second experiment, using stimuli targeted at either the magnocellular or the parvocellular visual pathway, shows that laminar profiles in response to parvocellular-targeted stimuli peak in more superficial layers. These findings provide new evidence for the differential sensitivity of high-field fMRI to modulations of the neural responses at different cortical depths.
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“With the advent of high-field MRI, it is now possible, in principle, to obtain sufficiently high resolution that separate cortical layers can be imaged in humans (e.g., Koopmans et al., 2010; Olman et al., 2012).”
From Allostatic Self-efficacy: A Metacognitive Theory of Dyshomeostasis-Induced Fatigue and Depression (2016) · cites this paper as Olman et al., 2012
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Metadata
- Authors
- Olman, C. A., Harel, N., Feinberg, D. A., He, S., Zhang, P., Ugurbil, K., & Yacoub, E.
- Affiliations
- University of Minnesota (US)
- Advanced MRI Technologies (United States) (US)
- Corresponding author
- Yacoub, Essa
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-03-20
- Volume
- 7
- Issue
- 3
- Pages
- e32536
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3308958
- OpenAlex
- W2062819254
- Cited by
- 194
- References
- 37
- Citations by year
- 2026: 4 · 2025: 14 · 2024: 13 · 2023: 8 · 2022: 9 · 2021: 21 · 2020: 18 · 2019: 12 · 2018: 11 · 2017: 25 · 2016: 22 · 2015: 12 · 2014: 8 · 2013: 13 · 2012: 3
- FWCI
- 5.89
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- National Science Foundation (P30 NS057091, 9907842)
- W. M. Keck Foundation
- National Institutes of Health (S10 RR1395, RR08079)
- National Institute of Mental Health (R01MH070800)
- National Eye Institute (R01EY015261)
- National Institute of Neurological Disorders and Stroke (R44NS063537, P30NS057091)
- National Institute of Biomedical Imaging and Bioengineering (R01EB008645, R01EB000331)
- National Center for Research Resources (S10-RR1395, P41RR001395, P41RR008079, P41RR08079)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- primary visual cortex, cortical depth, high-field fMRI, visual object recognition, occlusion, magnocellular pathway, parvocellular pathway, neural circuits
- MeSH terms
- Adult, Brain Mapping, Cerebral Cortex, Cerebrovascular Circulation, Data Interpretation, Statistical, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Neurons, Oxygen
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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