The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Visual Field Maps, Population Receptive Field Sizes, and Visual Field Coverage in the Human MT+ Complex
Open accessAbstract
Human neuroimaging experiments typically localize motion-selective cortex (MT+) by contrasting responses to stationary and moving stimuli. It has long been suspected that MT+, located on the lateral surface at the temporal–occipital (TO) boundary, contains several distinct visual field maps, although only one coarse map has been measured. Using a novel functional MRI model–based method we identified two maps—TO-1 and TO-2—and measured population receptive field (pRF) sizes within these maps. The angular representation of the first map, TO-1, has a lower vertical meridian on its posterior side at the boundary with the lateral–occipital cortex (i.e., the LO-2 portion). The angular representation continues through horizontal to the upper vertical meridian at the boundary with the second map, TO-2. The TO-2 angle map reverses from upper to lower visual field at increasingly anterior positions. The TO maps share a parallel eccentricity map in which center-to-periphery is represented in the ventral-to-dorsal direction; both maps have an expanded foveal representation. There is a progressive increase in the pRF size from V1/2/3 to LO-1/2 and TO-1/2, with the largest pRF sizes in TO-2. Further, within each map the pRF size increases as a function of eccentricity. The visual field coverage of both maps extends into the ipsilateral visual field, with larger sensitivity to peripheral ipsilateral stimuli in TO-2 than that in TO-1. The TO maps provide a functional segmentation of human motion-sensitive cortex that enables a more complete characterization of processing in human motion-selective cortex.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Brainard, D. H. (1997) · Spatial Vision · doi:10.1163/156856897x00357 · Cited by 19,702
The VideoToolbox software for visual psychophysics: transforming numbers into movies
Pelli, D. G. (1997) · Spatial Vision · doi:10.1163/156856897x00366 · Cited by 11,098
Multimodality image registration by maximization of mutual information
Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., & Suetens, P. (1997) · IEEE Transactions on Medical Imaging · doi:10.1109/42.563664 · Cited by 4,547
Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1
Boynton, G. M., Engel, S. A., Glover, G. H., & Heeger, D. J. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-13-04207.1996 · Cited by 2,314
Event-Related fMRI: Characterizing Differential Responses
Friston, K. J., Fletcher, P., Josephs, O., Holmes, A., Rugg, M. D., & Turner, R. (1998) · NeuroImage · doi:10.1006/nimg.1997.0306 · Cited by 2,029
The analysis of visual motion: a comparison of neuronal and psychophysical performance
Britten, K., Shadlen, M., Newsome, W., & Movshon, J. (1992) · The Journal of Neuroscience · doi:10.1523/jneurosci.12-12-04745.1992 · Cited by 1,958
Processing strategies for time‐course data sets in functional mri of the human brain
Bandettini, P. A., Jesmanowicz, A., Wong, E. C., & Hyde, J. S. (1993) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910300204 · Cited by 1,763
Object-related activity revealed by functional magnetic resonance imaging in human occipital cortex.
Malach, R., Reppas, J. B., Benson, R. R., Kwong, K. K., Jiang, H., Kennedy, W. A., Ledden, P. J., Brady, T. J., Rosen, B. R., & Tootell, R. B. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.18.8135 · Cited by 1,761
A direct demonstration of functional specialization in human visual cortex
Zeki, S., Watson, J., Lueck, C., Friston, K., Kennard, C., & Frackowiak, R. (1991) · The Journal of Neuroscience · doi:10.1523/jneurosci.11-03-00641.1991 · Cited by 1,716
Retinotopic organization in human visual cortex and the spatial precision of functional MRI
Engel, S. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.2.181 · Cited by 1,621
Cited by
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304
Topographic maps in human frontal and parietal cortex
Silver, M. A., & Kastner, S. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.08.005 · Cited by 554
Topographic Representation of Numerosity in the Human Parietal Cortex
Harvey, B. M., Klein, B. P., Petridou, N., & Dumoulin, S. O. (2013) · Science · doi:10.1126/science.1239052 · Cited by 507
Self-citationImaging retinotopic maps in the human brain
Wandell, B. A., & Winawer, J. (2011) · Vision Research · doi:10.1016/j.visres.2010.08.004 · Cited by 373
Self-citation
Metadata
- Authors
- Amano, K., Wandell, B. A., & Dumoulin, S. O.
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 2009-11
- Volume
- 102
- Issue
- 5
- Pages
- 2704-2718
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W2065193615
- Cited by
- 342
- References
- 68
- FWCI
- 7.16
- Type
- journal article
- Language
- en
- Open access
- green
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Visual Field Maps, Population Receptive Field Sizes, and Visual Field Coverage in the Human MT+ Complex. https://app.cochat.ai/papers/10.1152/jn.00102.2009
- The paper
- Amano, K., Wandell, B. A., & Dumoulin, S. O. (2009). Visual Field Maps, Population Receptive Field Sizes, and Visual Field Coverage in the Human MT+ Complex. Journal of Neurophysiology. https://doi.org/10.1152/jn.00102.2009
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.