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Why overlearned sequences are special: distinct neural networks for ordinal sequences
Several observations suggest that overlearned ordinal categories (e.g., letters, numbers, weekdays, months) are processed differently than non-ordinal categories in the brain. In synesthesia, for example, anomalous perceptual experiences are most often triggered by members of ordinal categories (Ric...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3526771/ https://www.ncbi.nlm.nih.gov/pubmed/23267320 http://dx.doi.org/10.3389/fnhum.2012.00328 |
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author | Pariyadath, Vani Plitt, Mark H. Churchill, Sara J. Eagleman, David M. |
author_facet | Pariyadath, Vani Plitt, Mark H. Churchill, Sara J. Eagleman, David M. |
author_sort | Pariyadath, Vani |
collection | PubMed |
description | Several observations suggest that overlearned ordinal categories (e.g., letters, numbers, weekdays, months) are processed differently than non-ordinal categories in the brain. In synesthesia, for example, anomalous perceptual experiences are most often triggered by members of ordinal categories (Rich et al., 2005; Eagleman, 2009). In semantic dementia (SD), the processing of ordinal stimuli appears to be preserved relative to non-ordinal ones (Cappelletti et al., 2001). Moreover, ordinal stimuli often map onto unconscious spatial representations, as observed in the SNARC effect (Dehaene et al., 1993; Fias, 1996). At present, little is known about the neural representation of ordinal categories. Using functional neuroimaging, we show that words in ordinal categories are processed in a fronto-temporo-parietal network biased toward the right hemisphere. This differs from words in non-ordinal categories (such as names of furniture, animals, cars, and fruit), which show an expected bias toward the left hemisphere. Further, we find that increased predictability of stimulus order correlates with smaller regions of BOLD activation, a phenomenon we term prediction suppression. Our results provide new insights into the processing of ordinal stimuli, and suggest a new anatomical framework for understanding the patterns seen in synesthesia, unconscious spatial representation, and SD. |
format | Online Article Text |
id | pubmed-3526771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-35267712012-12-24 Why overlearned sequences are special: distinct neural networks for ordinal sequences Pariyadath, Vani Plitt, Mark H. Churchill, Sara J. Eagleman, David M. Front Hum Neurosci Neuroscience Several observations suggest that overlearned ordinal categories (e.g., letters, numbers, weekdays, months) are processed differently than non-ordinal categories in the brain. In synesthesia, for example, anomalous perceptual experiences are most often triggered by members of ordinal categories (Rich et al., 2005; Eagleman, 2009). In semantic dementia (SD), the processing of ordinal stimuli appears to be preserved relative to non-ordinal ones (Cappelletti et al., 2001). Moreover, ordinal stimuli often map onto unconscious spatial representations, as observed in the SNARC effect (Dehaene et al., 1993; Fias, 1996). At present, little is known about the neural representation of ordinal categories. Using functional neuroimaging, we show that words in ordinal categories are processed in a fronto-temporo-parietal network biased toward the right hemisphere. This differs from words in non-ordinal categories (such as names of furniture, animals, cars, and fruit), which show an expected bias toward the left hemisphere. Further, we find that increased predictability of stimulus order correlates with smaller regions of BOLD activation, a phenomenon we term prediction suppression. Our results provide new insights into the processing of ordinal stimuli, and suggest a new anatomical framework for understanding the patterns seen in synesthesia, unconscious spatial representation, and SD. Frontiers Media S.A. 2012-12-20 /pmc/articles/PMC3526771/ /pubmed/23267320 http://dx.doi.org/10.3389/fnhum.2012.00328 Text en Copyright © 2012 Pariyadath, Plitt, Churchill and Eagleman. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc. |
spellingShingle | Neuroscience Pariyadath, Vani Plitt, Mark H. Churchill, Sara J. Eagleman, David M. Why overlearned sequences are special: distinct neural networks for ordinal sequences |
title | Why overlearned sequences are special: distinct neural networks for ordinal sequences |
title_full | Why overlearned sequences are special: distinct neural networks for ordinal sequences |
title_fullStr | Why overlearned sequences are special: distinct neural networks for ordinal sequences |
title_full_unstemmed | Why overlearned sequences are special: distinct neural networks for ordinal sequences |
title_short | Why overlearned sequences are special: distinct neural networks for ordinal sequences |
title_sort | why overlearned sequences are special: distinct neural networks for ordinal sequences |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3526771/ https://www.ncbi.nlm.nih.gov/pubmed/23267320 http://dx.doi.org/10.3389/fnhum.2012.00328 |
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