When the brain is prepared to learn: Enhancing human learning using real-time fMRI
The rate of learning or memory formation varies over time for any individual, partly due to moment-to-moment fluctuation of brain state. Functional neuroimaging has revealed the neural correlates of learning and memory, but here we asked if neuroimaging can causally enhance human learning by detecti...
Main Authors: | , , , , , , |
---|---|
其他作者: | |
格式: | 文件 |
语言: | en_US |
出版: |
Elsevier
2016
|
在线阅读: | http://hdl.handle.net/1721.1/102466 https://orcid.org/0000-0001-5966-2242 https://orcid.org/0000-0003-1158-5692 |
_version_ | 1826196950101262336 |
---|---|
author | Yoo, Julie J. Hinds, Oliver Ofen, Noa Thompson, Todd W. Triantafyllou, Christina Gabrieli, Susan Gabrieli, John D. E. |
author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Yoo, Julie J. Hinds, Oliver Ofen, Noa Thompson, Todd W. Triantafyllou, Christina Gabrieli, Susan Gabrieli, John D. E. |
author_sort | Yoo, Julie J. |
collection | MIT |
description | The rate of learning or memory formation varies over time for any individual, partly due to moment-to-moment fluctuation of brain state. Functional neuroimaging has revealed the neural correlates of learning and memory, but here we asked if neuroimaging can causally enhance human learning by detection of brain states that reveal when a person is prepared or not prepared to learn. The parahippocampal cortex (PHC) is essential for memory formation for scenes. Here, activation in PHC was monitored in real-time, and scene presentations were triggered when participants entered “good” or “bad” brain states for learning of novel scenes. Subsequent recognition memory was more accurate for scenes presented in “good” than “bad” brain states. These findings show that neuroimaging can identify in real-time brain states that enhance or depress learning and memory formation, and knowledge about such brain states may be useful for accelerating education and training. Further, the use of functional neuroimaging as a causal, rather than correlative, tool to study the human brain may open new insights into the neural basis of human cognition. |
first_indexed | 2024-09-23T10:40:09Z |
format | Article |
id | mit-1721.1/102466 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T10:40:09Z |
publishDate | 2016 |
publisher | Elsevier |
record_format | dspace |
spelling | mit-1721.1/1024662022-09-30T22:09:59Z When the brain is prepared to learn: Enhancing human learning using real-time fMRI Yoo, Julie J. Hinds, Oliver Ofen, Noa Thompson, Todd W. Triantafyllou, Christina Gabrieli, Susan Gabrieli, John D. E. Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences McGovern Institute for Brain Research at MIT Gabrieli, John D. E. Yoo, Julie J. Hinds, Oliver Ofen, Noa Thompson, Todd W. Gabrieli, Susan Triantafyllou, Christina Gabrieli, John D. E. The rate of learning or memory formation varies over time for any individual, partly due to moment-to-moment fluctuation of brain state. Functional neuroimaging has revealed the neural correlates of learning and memory, but here we asked if neuroimaging can causally enhance human learning by detection of brain states that reveal when a person is prepared or not prepared to learn. The parahippocampal cortex (PHC) is essential for memory formation for scenes. Here, activation in PHC was monitored in real-time, and scene presentations were triggered when participants entered “good” or “bad” brain states for learning of novel scenes. Subsequent recognition memory was more accurate for scenes presented in “good” than “bad” brain states. These findings show that neuroimaging can identify in real-time brain states that enhance or depress learning and memory formation, and knowledge about such brain states may be useful for accelerating education and training. Further, the use of functional neuroimaging as a causal, rather than correlative, tool to study the human brain may open new insights into the neural basis of human cognition. United States. Defense Advanced Research Projects Agency (Government Contract NBCHC070105) 2016-05-12T14:26:40Z 2016-05-12T14:26:40Z 2011-07 2011-07 Article http://purl.org/eprint/type/JournalArticle 10538119 http://hdl.handle.net/1721.1/102466 Yoo, Julie J., Oliver Hinds, Noa Ofen, Todd W. Thompson, Susan Whitfield-Gabrieli, Christina Triantafyllou, and John D.E. Gabrieli. “When the Brain Is Prepared to Learn: Enhancing Human Learning Using Real-Time fMRI.” NeuroImage 59, no. 1 (January 2012): 846–852. https://orcid.org/0000-0001-5966-2242 https://orcid.org/0000-0003-1158-5692 en_US http://dx.doi.org/10.1016/j.neuroimage.2011.07.063 NeuroImage Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier Prof. Gibson |
spellingShingle | Yoo, Julie J. Hinds, Oliver Ofen, Noa Thompson, Todd W. Triantafyllou, Christina Gabrieli, Susan Gabrieli, John D. E. When the brain is prepared to learn: Enhancing human learning using real-time fMRI |
title | When the brain is prepared to learn: Enhancing human learning using real-time fMRI |
title_full | When the brain is prepared to learn: Enhancing human learning using real-time fMRI |
title_fullStr | When the brain is prepared to learn: Enhancing human learning using real-time fMRI |
title_full_unstemmed | When the brain is prepared to learn: Enhancing human learning using real-time fMRI |
title_short | When the brain is prepared to learn: Enhancing human learning using real-time fMRI |
title_sort | when the brain is prepared to learn enhancing human learning using real time fmri |
url | http://hdl.handle.net/1721.1/102466 https://orcid.org/0000-0001-5966-2242 https://orcid.org/0000-0003-1158-5692 |
work_keys_str_mv | AT yoojuliej whenthebrainispreparedtolearnenhancinghumanlearningusingrealtimefmri AT hindsoliver whenthebrainispreparedtolearnenhancinghumanlearningusingrealtimefmri AT ofennoa whenthebrainispreparedtolearnenhancinghumanlearningusingrealtimefmri AT thompsontoddw whenthebrainispreparedtolearnenhancinghumanlearningusingrealtimefmri AT triantafyllouchristina whenthebrainispreparedtolearnenhancinghumanlearningusingrealtimefmri AT gabrielisusan whenthebrainispreparedtolearnenhancinghumanlearningusingrealtimefmri AT gabrielijohnde whenthebrainispreparedtolearnenhancinghumanlearningusingrealtimefmri |