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Perception and memory retrieval states are reflected in distributed patterns of background functional connectivity

The same visual input can serve as the target of perception or as a trigger for memory retrieval depending on whether cognitive processing is externally oriented (perception) or internally oriented (memory retrieval). While numerous human neuroimaging studies have characterized how visual stimuli ar...

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Autores principales: Li, Y. Peeta, Wang, Yida, Turk-Browne, Nicholas B., Kuhl, Brice A., Hutchinson, J. Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484747/
https://www.ncbi.nlm.nih.gov/pubmed/37290674
http://dx.doi.org/10.1016/j.neuroimage.2023.120221
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author Li, Y. Peeta
Wang, Yida
Turk-Browne, Nicholas B.
Kuhl, Brice A.
Hutchinson, J. Benjamin
author_facet Li, Y. Peeta
Wang, Yida
Turk-Browne, Nicholas B.
Kuhl, Brice A.
Hutchinson, J. Benjamin
author_sort Li, Y. Peeta
collection PubMed
description The same visual input can serve as the target of perception or as a trigger for memory retrieval depending on whether cognitive processing is externally oriented (perception) or internally oriented (memory retrieval). While numerous human neuroimaging studies have characterized how visual stimuli are differentially processed during perception versus memory retrieval, perception and memory retrieval may also be associated with distinct neural states that are independent of stimulus-evoked neural activity. Here, we combined human fMRI with ful correlation matrix analysis (FCMA) to reveal potential differences in “background” functional connectivity across perception and memory retrieval states. We found that perception and retrieval states could be discriminated with high accuracy based on patterns of connectivity across (1) the control network, (2) the default mode network (DMN), and (3) retrosplenial cortex (RSC). In particular, clusters in the control network increased connectivity with each other during the perception state, whereas clusters in the DMN were more strongly coupled during the retrieval state. Interestingly, RSC switched its coupling between networks as the cognitive state shifted from retrieval to perception. Finally, we show that background connectivity (1) was fully independent from stimulus-related variance in the signal and, further, (2) captured distinct aspects of cognitive states compared to traditiona classification of stimulus-evoked responses. Together, our results reveal that perception and memory retrieval are associated with sustained cognitive states that manifest as distinct patterns of connectivity among large-scale brain networks.
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spelling pubmed-104847472023-09-08 Perception and memory retrieval states are reflected in distributed patterns of background functional connectivity Li, Y. Peeta Wang, Yida Turk-Browne, Nicholas B. Kuhl, Brice A. Hutchinson, J. Benjamin Neuroimage Article The same visual input can serve as the target of perception or as a trigger for memory retrieval depending on whether cognitive processing is externally oriented (perception) or internally oriented (memory retrieval). While numerous human neuroimaging studies have characterized how visual stimuli are differentially processed during perception versus memory retrieval, perception and memory retrieval may also be associated with distinct neural states that are independent of stimulus-evoked neural activity. Here, we combined human fMRI with ful correlation matrix analysis (FCMA) to reveal potential differences in “background” functional connectivity across perception and memory retrieval states. We found that perception and retrieval states could be discriminated with high accuracy based on patterns of connectivity across (1) the control network, (2) the default mode network (DMN), and (3) retrosplenial cortex (RSC). In particular, clusters in the control network increased connectivity with each other during the perception state, whereas clusters in the DMN were more strongly coupled during the retrieval state. Interestingly, RSC switched its coupling between networks as the cognitive state shifted from retrieval to perception. Finally, we show that background connectivity (1) was fully independent from stimulus-related variance in the signal and, further, (2) captured distinct aspects of cognitive states compared to traditiona classification of stimulus-evoked responses. Together, our results reveal that perception and memory retrieval are associated with sustained cognitive states that manifest as distinct patterns of connectivity among large-scale brain networks. 2023-08-01 2023-06-07 /pmc/articles/PMC10484747/ /pubmed/37290674 http://dx.doi.org/10.1016/j.neuroimage.2023.120221 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Article
Li, Y. Peeta
Wang, Yida
Turk-Browne, Nicholas B.
Kuhl, Brice A.
Hutchinson, J. Benjamin
Perception and memory retrieval states are reflected in distributed patterns of background functional connectivity
title Perception and memory retrieval states are reflected in distributed patterns of background functional connectivity
title_full Perception and memory retrieval states are reflected in distributed patterns of background functional connectivity
title_fullStr Perception and memory retrieval states are reflected in distributed patterns of background functional connectivity
title_full_unstemmed Perception and memory retrieval states are reflected in distributed patterns of background functional connectivity
title_short Perception and memory retrieval states are reflected in distributed patterns of background functional connectivity
title_sort perception and memory retrieval states are reflected in distributed patterns of background functional connectivity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484747/
https://www.ncbi.nlm.nih.gov/pubmed/37290674
http://dx.doi.org/10.1016/j.neuroimage.2023.120221
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