Javascript must be enabled to continue!
Spatiotemporal dynamics of memory encoding and memory retrieval states
View through CrossRef
Abstract
Memory encoding and memory retrieval are neurally distinct brain states that can be differentiated on the basis of cortical network activity. However, it is unclear whether sustained engagement of one network or fluctuations between multiple networks give rise to these memory states. The spatiotemporal dynamics of memory states may have important implications for memory behavior and cognition; however, measuring temporally resolved signals of cortical networks poses a challenge. Here we recorded scalp electroencephalography from subjects performing a mnemonic state task in which they were biased toward memory encoding or retrieval. We performed a microstate analysis in order to measure the temporal dynamics of cortical networks throughout this mnemonic state task. We find that microstate E, a putative analog of the default mode network, shows temporally sustained dissociations between memory encoding and retrieval, with greater engagement during retrieve compared to encode trials. We further show that decreased engagement of microstate E is a general property of encoding, rather than a reflection of retrieval suppression. Together, these findings show that memory states are supported by sustained engagement of a particular cortical network. Memory success, as well as cognition more broadly, may be influenced by the ability to engage or disengage microstate E in a goal-dependent manner.
Title: Spatiotemporal dynamics of memory encoding and memory retrieval states
Description:
Abstract
Memory encoding and memory retrieval are neurally distinct brain states that can be differentiated on the basis of cortical network activity.
However, it is unclear whether sustained engagement of one network or fluctuations between multiple networks give rise to these memory states.
The spatiotemporal dynamics of memory states may have important implications for memory behavior and cognition; however, measuring temporally resolved signals of cortical networks poses a challenge.
Here we recorded scalp electroencephalography from subjects performing a mnemonic state task in which they were biased toward memory encoding or retrieval.
We performed a microstate analysis in order to measure the temporal dynamics of cortical networks throughout this mnemonic state task.
We find that microstate E, a putative analog of the default mode network, shows temporally sustained dissociations between memory encoding and retrieval, with greater engagement during retrieve compared to encode trials.
We further show that decreased engagement of microstate E is a general property of encoding, rather than a reflection of retrieval suppression.
Together, these findings show that memory states are supported by sustained engagement of a particular cortical network.
Memory success, as well as cognition more broadly, may be influenced by the ability to engage or disengage microstate E in a goal-dependent manner.
Related Results
Transcriptomics extract the key chromium resistance genes of Cellulomonas
Transcriptomics extract the key chromium resistance genes of Cellulomonas
Abstract
Cellulomonas fimi Clb-11 can reduce high toxic Cr (VI) to low toxic Cr (III). In this study, transcriptomics was used to analyze the key genes, which was involved ...
Dedifferentiation of memory-related brain function as a potential early biomarker of Alzheimer’s disease in asymptomatic older women: Results from the PREVENT-AD Cohort
Dedifferentiation of memory-related brain function as a potential early biomarker of Alzheimer’s disease in asymptomatic older women: Results from the PREVENT-AD Cohort
AbstractLate-onset Alzheimer’s disease (AD) disproportionately affects women compared to men. Episodic memory decline is one of the earliest and most pronounced deficits observed i...
Neuromodulatory signaling in hippocampus‐dependent memory retrieval
Neuromodulatory signaling in hippocampus‐dependent memory retrieval
ABSTRACTConsiderable advances have been made toward understanding the molecular signaling events that underlie memory acquisition and consolidation. In contrast, less is known abou...
Characterizing spatiotemporal population receptive fields in human visual cortex with fMRI
Characterizing spatiotemporal population receptive fields in human visual cortex with fMRI
AbstractThe use of fMRI and computational modeling has advanced understanding of spatial characteristics of population receptive fields (pRFs) in human visual cortex. However, we k...
Litmus test of rich episodic representations: Context-induced false recognition
Litmus test of rich episodic representations: Context-induced false recognition
Context-dependent episodic memory is typically investigated using tasks in which retrieval occurs either in the reinstated context of encoding or in a completely new context. A fun...
Reactivation of neural patterns during memory reinstatement supports encoding specificity
Reactivation of neural patterns during memory reinstatement supports encoding specificity
AbstractEncoding specificity or transfer appropriate processing state that memory benefits when items are encoded and retrieved in the same modality compared to when encoding and r...
Improving Sentence Retrieval Using Sequence Similarity
Improving Sentence Retrieval Using Sequence Similarity
Sentence retrieval is an information retrieval technique that aims to find sentences corresponding to an information need. It is used for tasks like question answering (QA) or nove...
Neural dynamics of relational memory retrieval across eye movements
Neural dynamics of relational memory retrieval across eye movements
Abstract
Relational memory retrieval entails a dynamic interplay between eye movements and neural activity, yet the temporal coordination of these processes remains unc...

