Cortical Overlap and Cortical-Hippocampal Interactions Predict Subsequent True and False Memory
The declarative memory system allows us to accurately recognize a countless number of items and events, particularly those strengthened by repeated exposure. However, increased familiarity due to repetition can also lead to false recognition of related but new items, particularly when mechanisms sup...
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Published in | The Journal of neuroscience Vol. 40; no. 9; pp. 1920 - 1930 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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United States
Society for Neuroscience
26.02.2020
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Abstract | The declarative memory system allows us to accurately recognize a countless number of items and events, particularly those strengthened by repeated exposure. However, increased familiarity due to repetition can also lead to false recognition of related but new items, particularly when mechanisms supporting fine-grain mnemonic discrimination fail. The hippocampus is thought to be particularly important in separating overlapping cortical inputs during encoding so that similar experiences can be differentiated. In the current study of male and female human subjects, we examine how neural pattern similarity between repeated exemplars of a given concept (e.g., apple) influences true and false memory for target or lure images. Consistent with past work, we found that subsequent true recognition was related to pattern similarity between concept exemplars and the entire encoding set (global encoding similarity), particularly in ventral visual stream. In addition, memory for an individual target exemplar (a specific apple) could be predicted solely by the degree of pattern overlap between the other exemplars (different apple pictures) of that concept (concept-specific encoding similarity). Critically, subsequent false memory for lures was mitigated when high concept-specific similarity in cortical areas was accompanied by differentiated hippocampal representations of the corresponding exemplars. Furthermore, both true and false memory entailed the reinstatement of concept-related information at varying levels of specificity. These results link both true and false memory to a measure of concept strength expressed in the overlap of cortical representations, and importantly, illustrate how the hippocampus serves to separate concurrent cortical overlap in the service of detailed memory.
SIGNIFICANCE STATEMENT
In some instances, the same processes that help promote memory for a general idea or concept can also hinder more detailed memory judgments, which may involve differentiating between closely related items. The current study shows that increased overlap in cortical representations for conceptually-related pictures is associated with increased recognition of repeated concept pictures. Whether similar lure items were falsely remembered as old further depended on the hippocampus, where the presence of more distinct representations protected against later false memory. This work suggests that the differentiability of brain patterns during perception is related to the differentiability of items in memory, but that fine-grain discrimination depends on the interaction between cortex and hippocampus. |
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AbstractList | The declarative memory system allows us to accurately recognize a countless number of items and events, particularly those strengthened by repeated exposure. However, increased familiarity due to repetition can also lead to false recognition of related but new items, particularly when mechanisms supporting fine-grain mnemonic discrimination fail. The hippocampus is thought to be particularly important in separating overlapping cortical inputs during encoding so that similar experiences can be differentiated. In the current study of male and female human subjects, we examine how neural pattern similarity between repeated exemplars of a given concept (e.g., apple) influences true and false memory for target or lure images. Consistent with past work, we found that subsequent true recognition was related to pattern similarity between concept exemplars and the entire encoding set (global encoding similarity), particularly in ventral visual stream. In addition, memory for an individual target exemplar (a specific apple) could be predicted solely by the degree of pattern overlap between the other exemplars (different apple pictures) of that concept (concept-specific encoding similarity). Critically, subsequent false memory for lures was mitigated when high concept-specific similarity in cortical areas was accompanied by differentiated hippocampal representations of the corresponding exemplars. Furthermore, both true and false memory entailed the reinstatement of concept-related information at varying levels of specificity. These results link both true and false memory to a measure of concept strength expressed in the overlap of cortical representations, and importantly, illustrate how the hippocampus serves to separate concurrent cortical overlap in the service of detailed memory.
SIGNIFICANCE STATEMENT
In some instances, the same processes that help promote memory for a general idea or concept can also hinder more detailed memory judgments, which may involve differentiating between closely related items. The current study shows that increased overlap in cortical representations for conceptually-related pictures is associated with increased recognition of repeated concept pictures. Whether similar lure items were falsely remembered as old further depended on the hippocampus, where the presence of more distinct representations protected against later false memory. This work suggests that the differentiability of brain patterns during perception is related to the differentiability of items in memory, but that fine-grain discrimination depends on the interaction between cortex and hippocampus. The declarative memory system allows us to accurately recognize a countless number of items and events, particularly those strengthened by repeated exposure. However, increased familiarity due to repetition can also lead to false recognition of related but new items, particularly when mechanisms supporting fine-grain mnemonic discrimination fail. The declarative memory system allows us to accurately recognize a countless number of items and events, particularly those strengthened by repeated exposure. However, increased familiarity due to repetition can also lead to false recognition of related but new items, particularly when mechanisms supporting fine-grain mnemonic discrimination fail. The hippocampus is thought to be particularly important in separating overlapping cortical inputs during encoding so that similar experiences can be differentiated. In the current study of male and female human subjects, we examine how neural pattern similarity between repeated exemplars of a given concept (e.g., apple) influences true and false memory for target or lure images. Consistent with past work, we found that subsequent true recognition was related to pattern similarity between concept exemplars and the entire encoding set (global encoding similarity), particularly in ventral visual stream. In addition, memory for an individual target exemplar (a specific apple) could be predicted solely by the degree of pattern overlap between the other exemplars (different apple pictures) of that concept (concept-specific encoding similarity). Critically, subsequent false memory for lures was mitigated when high concept-specific similarity in cortical areas was accompanied by differentiated hippocampal representations of the corresponding exemplars. Furthermore, both true and false memory entailed the reinstatement of concept-related information at varying levels of specificity. These results link both true and false memory to a measure of concept strength expressed in the overlap of cortical representations, and importantly, illustrate how the hippocampus serves to separate concurrent cortical overlap in the service of detailed memory. SIGNIFICANCE STATEMENT In some instances, the same processes that help promote memory for a general idea or concept can also hinder more detailed memory judgments, which may involve differentiating between closely related items. The current study shows that increased overlap in cortical representations for conceptually-related pictures is associated with increased recognition of repeated concept pictures. Whether similar lure items were falsely remembered as old further depended on the hippocampus, where the presence of more distinct representations protected against later false memory. This work suggests that the differentiability of brain patterns during perception is related to the differentiability of items in memory, but that fine-grain discrimination depends on the interaction between cortex and hippocampus. The declarative memory system allows us to accurately recognize a countless number of items and events, particularly those strengthened by repeated exposure. However, increased familiarity due to repetition can also lead to false recognition of related but new items, particularly when mechanisms supporting fine-grain mnemonic discrimination fail. The hippocampus is thought to be particularly important in separating overlapping cortical inputs during encoding so that similar experiences can be differentiated. In the current study of male and female human subjects, we examine how neural pattern similarity between repeated exemplars of a given concept (e.g., apple) influences true and false memory for target or lure images. Consistent with past work, we found that subsequent true recognition was related to pattern similarity between concept exemplars and the entire encoding set (global encoding similarity), particularly in ventral visual stream. In addition, memory for an individual target exemplar (a specific apple) could be predicted solely by the degree of pattern overlap between the other exemplars (different apple pictures) of that concept (concept-specific encoding similarity). Critically, subsequent false memory for lures was mitigated when high concept-specific similarity in cortical areas was accompanied by differentiated hippocampal representations of the corresponding exemplars. Furthermore, both true and false memory entailed the reinstatement of concept-related information at varying levels of specificity. These results link both true and false memory to a measure of concept strength expressed in the overlap of cortical representations, and importantly, illustrate how the hippocampus serves to separate concurrent cortical overlap in the service of detailed memory. The declarative memory system allows us to accurately recognize a countless number of items and events, particularly those strengthened by repeated exposure. However, increased familiarity due to repetition can also lead to false recognition of related but new items, particularly when mechanisms supporting fine-grain mnemonic discrimination fail. The hippocampus is thought to be particularly important in separating overlapping cortical inputs during encoding so that similar experiences can be differentiated. In the current study of male and female human subjects, we examine how neural pattern similarity between repeated exemplars of a given concept (e.g., apple) influences true and false memory for target or lure images. Consistent with past work, we found that subsequent true recognition was related to pattern similarity between concept exemplars and the entire encoding set (global encoding similarity), particularly in ventral visual stream. In addition, memory for an individual target exemplar (a specific apple) could be predicted solely by the degree of pattern overlap between the other exemplars (different apple pictures) of that concept (concept-specific encoding similarity). Critically, subsequent false memory for lures was mitigated when high concept-specific similarity in cortical areas was accompanied by differentiated hippocampal representations of the corresponding exemplars. Furthermore, both true and false memory entailed the reinstatement of concept-related information at varying levels of specificity. These results link both true and false memory to a measure of concept strength expressed in the overlap of cortical representations, and importantly, illustrate how the hippocampus serves to separate concurrent cortical overlap in the service of detailed memory. In some instances, the same processes that help promote memory for a general idea or concept can also hinder more detailed memory judgments, which may involve differentiating between closely related items. The current study shows that increased overlap in cortical representations for conceptually-related pictures is associated with increased recognition of repeated concept pictures. Whether similar lure items were falsely remembered as old further depended on the hippocampus, where the presence of more distinct representations protected against later false memory. This work suggests that the differentiability of brain patterns during perception is related to the differentiability of items in memory, but that fine-grain discrimination depends on the interaction between cortex and hippocampus. The declarative memory system allows us to accurately recognize a countless number of items and events, particularly those strengthened by repeated exposure. However, increased familiarity due to repetition can also lead to false recognition of related but new items, particularly when mechanisms supporting fine-grain mnemonic discrimination fail. The hippocampus is thought to be particularly important in separating overlapping cortical inputs during encoding so that similar experiences can be differentiated. In the current study of male and female human subjects, we examine how neural pattern similarity between repeated exemplars of a given concept (e.g., apple) influences true and false memory for target or lure images. Consistent with past work, we found that subsequent true recognition was related to pattern similarity between concept exemplars and the entire encoding set (global encoding similarity), particularly in ventral visual stream. In addition, memory for an individual target exemplar (a specific apple) could be predicted solely by the degree of pattern overlap between the other exemplars (different apple pictures) of that concept (concept-specific encoding similarity). Critically, subsequent false memory for lures was mitigated when high concept-specific similarity in cortical areas was accompanied by differentiated hippocampal representations of the corresponding exemplars. Furthermore, both true and false memory entailed the reinstatement of concept-related information at varying levels of specificity. These results link both true and false memory to a measure of concept strength expressed in the overlap of cortical representations, and importantly, illustrate how the hippocampus serves to separate concurrent cortical overlap in the service of detailed memory.SIGNIFICANCE STATEMENT In some instances, the same processes that help promote memory for a general idea or concept can also hinder more detailed memory judgments, which may involve differentiating between closely related items. The current study shows that increased overlap in cortical representations for conceptually-related pictures is associated with increased recognition of repeated concept pictures. Whether similar lure items were falsely remembered as old further depended on the hippocampus, where the presence of more distinct representations protected against later false memory. This work suggests that the differentiability of brain patterns during perception is related to the differentiability of items in memory, but that fine-grain discrimination depends on the interaction between cortex and hippocampus.The declarative memory system allows us to accurately recognize a countless number of items and events, particularly those strengthened by repeated exposure. However, increased familiarity due to repetition can also lead to false recognition of related but new items, particularly when mechanisms supporting fine-grain mnemonic discrimination fail. The hippocampus is thought to be particularly important in separating overlapping cortical inputs during encoding so that similar experiences can be differentiated. In the current study of male and female human subjects, we examine how neural pattern similarity between repeated exemplars of a given concept (e.g., apple) influences true and false memory for target or lure images. Consistent with past work, we found that subsequent true recognition was related to pattern similarity between concept exemplars and the entire encoding set (global encoding similarity), particularly in ventral visual stream. In addition, memory for an individual target exemplar (a specific apple) could be predicted solely by the degree of pattern overlap between the other exemplars (different apple pictures) of that concept (concept-specific encoding similarity). Critically, subsequent false memory for lures was mitigated when high concept-specific similarity in cortical areas was accompanied by differentiated hippocampal representations of the corresponding exemplars. Furthermore, both true and false memory entailed the reinstatement of concept-related information at varying levels of specificity. These results link both true and false memory to a measure of concept strength expressed in the overlap of cortical representations, and importantly, illustrate how the hippocampus serves to separate concurrent cortical overlap in the service of detailed memory.SIGNIFICANCE STATEMENT In some instances, the same processes that help promote memory for a general idea or concept can also hinder more detailed memory judgments, which may involve differentiating between closely related items. The current study shows that increased overlap in cortical representations for conceptually-related pictures is associated with increased recognition of repeated concept pictures. Whether similar lure items were falsely remembered as old further depended on the hippocampus, where the presence of more distinct representations protected against later false memory. This work suggests that the differentiability of brain patterns during perception is related to the differentiability of items in memory, but that fine-grain discrimination depends on the interaction between cortex and hippocampus. |
Author | Wing, Erik A. Geib, Benjamin R. Wang, Wei-Chun Davis, Simon W. Monge, Zachary Cabeza, Roberto |
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Cites_doi | 10.1523/JNEUROSCI.3550-14.2015 10.1126/science.1193125 10.1073/pnas.1610686113 10.1093/cercor/bhl122 10.1093/cercor/bhv041 10.1016/j.neuroimage.2011.11.078 10.1523/JNEUROSCI.3376-13.2014 10.1016/j.neuropsychologia.2009.02.028 10.1073/pnas.081082698 10.1016/j.neuroimage.2011.09.079 10.1523/JNEUROSCI.2022-18.2019 10.1037/0096-1523.17.1.3 10.1016/j.neuroimage.2012.01.067 10.1093/cercor/bht194 10.1037/0033-295X.91.1.1 10.1101/lm.045765.117 10.3758/BF03210740 10.1016/j.neuropsychologia.2016.03.026 10.1002/hipo.450040319 10.1080/17588928.2018.1488244 10.1016/j.neuron.2004.08.017 10.1016/j.neuropsychologia.2015.12.006 10.1037/0033-295X.110.4.611 10.1111/j.0956-7976.2004.00736.x 10.1002/hipo.20855 10.1037/0278-7393.14.4.700 10.1016/j.neures.2013.05.006 10.1093/cercor/bhy200 10.1016/j.neuroimage.2015.08.065 10.1101/lm.87605 10.1523/JNEUROSCI.4889-12.2013 10.1016/j.neuropsychologia.2004.09.014 10.1037/0033-295X.102.3.419 10.1093/cercor/bhs143 10.1523/JNEUROSCI.4286-15.2016 10.3389/fnagi.2014.00283 10.3758/BF03193596 10.1523/JNEUROSCI.0425-16.2016 10.3389/neuro.01.016.2008 10.1016/j.neuroimage.2010.03.040 10.1038/nn1252 10.1101/lm.1845710 10.1073/pnas.1817925116 10.1016/j.neuroimage.2011.08.076 10.3758/BF03196177 10.1523/JNEUROSCI.4328-13.2014 10.1523/JNEUROSCI.0051-13.2013 10.1016/S0028-3932(00)00087-7 10.1016/S1053-8119(03)00096-X 10.1002/hipo.22598 10.1162/jocn_a_00740 10.1093/cercor/bhs258 10.1038/nn.3381 10.1523/JNEUROSCI.3809-13.2013 10.1523/JNEUROSCI.4156-12.2012 10.1016/B978-0-444-63622-5.00027-9 10.1037/a0019165 10.1523/JNEUROSCI.4293-12.2013 10.1037//0033-295X.95.4.528 10.1523/JNEUROSCI.2324-16.2017 |
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References_xml | – ident: 2023041803401091000_40.9.1920.23 doi: 10.1523/JNEUROSCI.3550-14.2015 – ident: 2023041803401091000_40.9.1920.56 doi: 10.1126/science.1193125 – ident: 2023041803401091000_40.9.1920.5 doi: 10.1073/pnas.1610686113 – ident: 2023041803401091000_40.9.1920.24 doi: 10.1093/cercor/bhl122 – ident: 2023041803401091000_40.9.1920.2 doi: 10.1093/cercor/bhv041 – ident: 2023041803401091000_40.9.1920.17 doi: 10.1016/j.neuroimage.2011.11.078 – ident: 2023041803401091000_40.9.1920.9 doi: 10.1523/JNEUROSCI.3376-13.2014 – ident: 2023041803401091000_40.9.1920.48 doi: 10.1016/j.neuropsychologia.2009.02.028 – ident: 2023041803401091000_40.9.1920.4 doi: 10.1073/pnas.081082698 – ident: 2023041803401091000_40.9.1920.10 doi: 10.1016/j.neuroimage.2011.09.079 – ident: 2023041803401091000_40.9.1920.3 doi: 10.1523/JNEUROSCI.2022-18.2019 – ident: 2023041803401091000_40.9.1920.38 doi: 10.1037/0096-1523.17.1.3 – ident: 2023041803401091000_40.9.1920.44 doi: 10.1016/j.neuroimage.2012.01.067 – ident: 2023041803401091000_40.9.1920.16 doi: 10.1093/cercor/bht194 – ident: 2023041803401091000_40.9.1920.14 doi: 10.1037/0033-295X.91.1.1 – ident: 2023041803401091000_40.9.1920.21 doi: 10.1101/lm.045765.117 – ident: 2023041803401091000_40.9.1920.6 doi: 10.3758/BF03210740 – ident: 2023041803401091000_40.9.1920.41 doi: 10.1016/j.neuropsychologia.2016.03.026 – ident: 2023041803401091000_40.9.1920.51 doi: 10.1002/hipo.450040319 – ident: 2023041803401091000_40.9.1920.22 doi: 10.1080/17588928.2018.1488244 – ident: 2023041803401091000_40.9.1920.45 doi: 10.1016/j.neuron.2004.08.017 – ident: 2023041803401091000_40.9.1920.29 doi: 10.1016/j.neuropsychologia.2015.12.006 – ident: 2023041803401091000_40.9.1920.36 doi: 10.1037/0033-295X.110.4.611 – ident: 2023041803401091000_40.9.1920.15 doi: 10.1111/j.0956-7976.2004.00736.x – ident: 2023041803401091000_40.9.1920.35 doi: 10.1002/hipo.20855 – ident: 2023041803401091000_40.9.1920.37 doi: 10.1037/0278-7393.14.4.700 – ident: 2023041803401091000_40.9.1920.1 doi: 10.1016/j.neures.2013.05.006 – ident: 2023041803401091000_40.9.1920.32 doi: 10.1093/cercor/bhy200 – ident: 2023041803401091000_40.9.1920.18 doi: 10.1016/j.neuroimage.2015.08.065 – ident: 2023041803401091000_40.9.1920.39 doi: 10.1101/lm.87605 – ident: 2023041803401091000_40.9.1920.53 doi: 10.1523/JNEUROSCI.4889-12.2013 – ident: 2023041803401091000_40.9.1920.13 doi: 10.1016/j.neuropsychologia.2004.09.014 – ident: 2023041803401091000_40.9.1920.33 doi: 10.1037/0033-295X.102.3.419 – ident: 2023041803401091000_40.9.1920.57 doi: 10.1093/cercor/bhs143 – ident: 2023041803401091000_40.9.1920.31 doi: 10.1523/JNEUROSCI.4286-15.2016 – ident: 2023041803401091000_40.9.1920.40 doi: 10.3389/fnagi.2014.00283 – ident: 2023041803401091000_40.9.1920.20 doi: 10.3758/BF03193596 – ident: 2023041803401091000_40.9.1920.59 doi: 10.1523/JNEUROSCI.0425-16.2016 – ident: 2023041803401091000_40.9.1920.27 doi: 10.3389/neuro.01.016.2008 – ident: 2023041803401091000_40.9.1920.58 doi: 10.1016/j.neuroimage.2010.03.040 – ident: 2023041803401091000_40.9.1920.47 doi: 10.1038/nn1252 – ident: 2023041803401091000_40.9.1920.50 doi: 10.1101/lm.1845710 – ident: 2023041803401091000_40.9.1920.60 doi: 10.1073/pnas.1817925116 – ident: 2023041803401091000_40.9.1920.34 doi: 10.1016/j.neuroimage.2011.08.076 – ident: 2023041803401091000_40.9.1920.43 doi: 10.3758/BF03196177 – ident: 2023041803401091000_40.9.1920.28 doi: 10.1523/JNEUROSCI.4328-13.2014 – ident: 2023041803401091000_40.9.1920.12 doi: 10.1523/JNEUROSCI.0051-13.2013 – ident: 2023041803401091000_40.9.1920.26 doi: 10.1016/S0028-3932(00)00087-7 – ident: 2023041803401091000_40.9.1920.46 doi: 10.1016/S1053-8119(03)00096-X – ident: 2023041803401091000_40.9.1920.52 doi: 10.1002/hipo.22598 – ident: 2023041803401091000_40.9.1920.54 doi: 10.1162/jocn_a_00740 – ident: 2023041803401091000_40.9.1920.42 doi: 10.1093/cercor/bhs258 – ident: 2023041803401091000_40.9.1920.7 doi: 10.1038/nn.3381 – ident: 2023041803401091000_40.9.1920.11 doi: 10.1523/JNEUROSCI.3809-13.2013 – ident: 2023041803401091000_40.9.1920.49 doi: 10.1523/JNEUROSCI.4156-12.2012 – ident: 2023041803401091000_40.9.1920.8 doi: 10.1016/B978-0-444-63622-5.00027-9 – ident: 2023041803401091000_40.9.1920.25 doi: 10.1037/a0019165 – ident: 2023041803401091000_40.9.1920.30 doi: 10.1523/JNEUROSCI.4293-12.2013 – ident: 2023041803401091000_40.9.1920.19 doi: 10.1037//0033-295X.95.4.528 – ident: 2023041803401091000_40.9.1920.55 doi: 10.1523/JNEUROSCI.2324-16.2017 |
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SubjectTerms | Apples Cortex Familiarity Hippocampus Memory Object recognition Pictures Reinstatement Representations Similarity Target recognition Visual discrimination |
Title | Cortical Overlap and Cortical-Hippocampal Interactions Predict Subsequent True and False Memory |
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