Large-Scale, High-Resolution Neurophysiological Maps Underlying fMRI of Macaque Temporal Lobe
Maps 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. Her...
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| Format: | Article |
| Language: | en_US |
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Society for Neuroscience
2014
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| Online Access: | http://hdl.handle.net/1721.1/89134 https://orcid.org/0000-0002-1592-5896 |
| _version_ | 1826210770897076224 |
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| author | Issa, Elias DiCarlo, James Papanastassiou, Alex M. |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Issa, Elias DiCarlo, James Papanastassiou, Alex M. |
| author_sort | Issa, Elias |
| collection | MIT |
| description | Maps 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. |
| first_indexed | 2024-09-23T14:55:16Z |
| format | Article |
| id | mit-1721.1/89134 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:55:16Z |
| publishDate | 2014 |
| publisher | Society for Neuroscience |
| record_format | dspace |
| spelling | mit-1721.1/891342022-09-29T11:24:07Z Large-Scale, High-Resolution Neurophysiological Maps Underlying fMRI of Macaque Temporal Lobe Issa, Elias DiCarlo, James Papanastassiou, Alex M. Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences McGovern Institute for Brain Research at MIT Issa, Elias DiCarlo, James Maps 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. National Eye Institute (Grant R01-EY014970) National Eye Institute (Grant K99-EY022671) McGovern Institute for Brain Research at MIT National Institutes of Health (U.S.). Ruth L. Kirschstein National Research Service Award (Postdoctoral fellowship F32-EY019609) 2014-09-02T17:41:33Z 2014-09-02T17:41:33Z 2013-09 2013-07 Article http://purl.org/eprint/type/JournalArticle 0270-6474 1529-2401 http://hdl.handle.net/1721.1/89134 Issa, 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. https://orcid.org/0000-0002-1592-5896 en_US http://dx.doi.org/10.1523/jneurosci.1248-13.2013 Journal of Neuroscience Article 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. application/pdf Society for Neuroscience Society for Neuroscience |
| spellingShingle | Issa, Elias DiCarlo, James Papanastassiou, Alex M. Large-Scale, High-Resolution Neurophysiological Maps Underlying fMRI of Macaque Temporal Lobe |
| title | Large-Scale, High-Resolution Neurophysiological Maps Underlying fMRI of Macaque Temporal Lobe |
| title_full | Large-Scale, High-Resolution Neurophysiological Maps Underlying fMRI of Macaque Temporal Lobe |
| title_fullStr | Large-Scale, High-Resolution Neurophysiological Maps Underlying fMRI of Macaque Temporal Lobe |
| title_full_unstemmed | Large-Scale, High-Resolution Neurophysiological Maps Underlying fMRI of Macaque Temporal Lobe |
| title_short | Large-Scale, High-Resolution Neurophysiological Maps Underlying fMRI of Macaque Temporal Lobe |
| title_sort | large scale high resolution neurophysiological maps underlying fmri of macaque temporal lobe |
| url | http://hdl.handle.net/1721.1/89134 https://orcid.org/0000-0002-1592-5896 |
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