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dc.contributor.authorIssa, Elias
dc.contributor.authorPapanastassiou, Alex M.
dc.contributor.authorDiCarlo, James
dc.date.accessioned2014-05-09T15:20:13Z
dc.date.available2014-05-09T15:20:13Z
dc.date.issued2013-09
dc.date.submitted2013-07
dc.identifier.issn0270-6474
dc.identifier.issn1529-2401
dc.identifier.urihttp://hdl.handle.net/1721.1/86906
dc.description.abstractMaps obtained by functional magnetic resonance imaging (fMRI) are thought to reflect the underlying spatial layout of neural activity. However, previous studies have not been able to directly compare fMRI maps to high-resolution neurophysiological maps, particularly in higher level visual areas. Here, we used a novel stereo microfocal x-ray system to localize thousands of neural recordings across monkey inferior temporal cortex (IT), construct large-scale maps of neuronal object selectivity at subvoxel resolution, and compare those neurophysiology maps with fMRI maps from the same subjects. While neurophysiology maps contained reliable structure at the sub-millimeter scale, fMRI maps of object selectivity contained information at larger scales (>2.5 mm) and were only partly correlated with raw neurophysiology maps collected in the same subjects. However, spatial smoothing of neurophysiology maps more than doubled that correlation, while a variety of alternative transforms led to no significant improvement. Furthermore, raw spiking signals, once spatially smoothed, were as predictive of fMRI maps as local field potential signals. Thus, fMRI of the inferior temporal lobe reflects a spatially low-passed version of neurophysiology signals. These findings strongly validate the widespread use of fMRI for detecting large (>2.5 mm) neuronal domains of object selectivity but show that a complete understanding of even the most pure domains (e.g., faces vs nonface objects) requires investigation at fine scales that can currently only be obtained with invasive neurophysiological methods.en_US
dc.description.sponsorshipMcGovern Institute for Brain Research at MITen_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Ruth L. Kirschstein National Research Service Award, postdoctoral fellowship F32-EY019609)en_US
dc.description.sponsorshipNational Eye Institute (grant R01-EY014970)en_US
dc.description.sponsorshipNational Eye Institute (grant K99 EY022671)en_US
dc.language.isoen_US
dc.publisherSociety for Neuroscienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1523/JNEUROSCI.1248-13.2013en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceSociety for Neuroscienceen_US
dc.titleLarge-Scale, High-Resolution Neurophysiological Maps Underlying fMRI of Macaque Temporal Lobeen_US
dc.typeArticleen_US
dc.identifier.citationIssa, E. B., A. M. Papanastassiou, and J. J. DiCarlo. “Large-Scale, High-Resolution Neurophysiological Maps Underlying fMRI of Macaque Temporal Lobe.” Journal of Neuroscience 33, no. 38 (September 18, 2013): 15207–15219.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMcGovern Institute for Brain Research at MITen_US
dc.contributor.mitauthorIssa, Eliasen_US
dc.contributor.mitauthorPapanastassiou, Alex M.en_US
dc.contributor.mitauthorDiCarlo, Jamesen_US
dc.relation.journalJournal of Neuroscienceen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsIssa, E. B.; Papanastassiou, A. M.; DiCarlo, J. J.en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-1592-5896
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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