The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
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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“This stronger response to scrambled objects is consistent with previous reports of reduced BOLD response during perception of coordinated, rather than disjoint or unconnected, image features [5].”
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A multi-modal parcellation of human cerebral cortex
Glasser, M. F., Coalson, T. S., Robinson, E. C., Hacker, C. D., Harwell, J., Yacoub, E., Ugurbil, K., Andersson, J., Beckmann, C. F., Jenkinson, M., et al. (2016) · Nature · doi:10.1038/nature18933 · Cited by 5,111
Uğurbil, K., Xu, J., Auerbach, E. J., Moeller, S., Vu, A. T., Duarte-Carvajalino, J. M., Lenglet, C., Wu, X., Schmitter, S., Van de Moortele, P. F., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.012 · Cited by 812
Michalareas, G., Vezoli, J., van Pelt, S., Schoffelen, J.-M., Kennedy, H., & Fries, P. (2016) · Neuron · doi:10.1016/j.neuron.2015.12.018 · Cited by 696
Pros and cons of ultra-high-field MRI/MRS for human application
Ladd, M. E., Bachert, P., Meyerspeer, M., Moser, E., Nagel, A. M., Norris, D. G., Schmitter, S., Speck, O., Straub, S., & Zaiß, M. (2018) · Progress in Nuclear Magnetic Resonance Spectroscopy · doi:10.1016/j.pnmrs.2018.06.001 · Cited by 586
Contextual Feedback to Superficial Layers of V1
Muckli, L., De Martino, F., Vizioli, L., Petro, L. S., Smith, F. W., Ugurbil, K., Goebel, R., & Yacoub, E. (2015) · Current Biology · doi:10.1016/j.cub.2015.08.057 · Cited by 423
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
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