Intersubject Neural Similarity Reveals the Development of Recognition Memory in Children

Poster No:

854 

Submission Type:

Abstract Submission 

Authors:

Yiwen Li1, Chaoqun Wang2, Jialiang Guo1, Xuan Dong2, Yan Song1

Institutions:

1Beijing Normal University, Beijing, Beijing, 2Changzhou Children's Hospital of Nantong University, Jiangsu, Jiangsu

First Author:

Yiwen Li  
Beijing Normal University
Beijing, Beijing

Co-Author(s):

Chaoqun Wang  
Changzhou Children's Hospital of Nantong University
Jiangsu, Jiangsu
Jialiang Guo  
Beijing Normal University
Beijing, Beijing
Xuan Dong  
Changzhou Children's Hospital of Nantong University
Jiangsu, Jiangsu
Yan Song  
Beijing Normal University
Beijing, Beijing

Introduction:

Recognition memory is an essential component of episodic memory and improves with child development, but the neural mechanisms underlying such improvement and the developmental variation remain poorly understood. Investigating the neural mechanisms underlying the development of recognition memory can help us better understand the mechanisms of memory formation. The development of recognition memory is associated with neural similarity during two crucial memory phases: encoding and retrieval. The variation in neural similarity between the encoding and retrieval processes supports the development of recognition memory in children. The development of recognition memory is also related to the neural representation stability during the encoding or retrieval phase (i.e., the individual-group representation pattern). Furthermore, intersubject variability may potentially affect the recognition memory. The present study aims to reveal the neural mechanisms underlying the development of recognition memory through representational similarity analysis on high-temporal resolution data recorded by electroencephalography (EEG), which can contribute to a further understanding of the generative and constructive nature of recognition memory.

Methods:

We investigated how the neural representations during the encoding and retrieval phases of recognition memory change with age, using representational similarity analysis (RSA) in a sample of children aged 6–12 years (n = 137). And we demonstrated that the encoding and retrieval phases have different neural developmental patterns. Similarly, using a model-free approach, we computed intersubject pattern similarity and then whether the intersubject pattern similarity corresponded to one of the four developmental models (nearest neighbor, convergence, divergence and key stage). In addition, through spatiotemporal pattern similarity analysis (STPS), we isolated spatiotemporal differences in representations of remembering and forgetting items within and between items.
Supporting Image: Figure_1.png
 

Results:

The present study revealed the development of memory representation by performing RSA of recognition memory in children. First, we found there are different neural representation patterns in the encoding and retrieval phases of memory in children. Specifically, the neural representation in the retrieval phase gradually stabilized with age, and this stability was associated with improved memory performance. Whereas, the neural representation in the encoding phase presented a key developmental stage during 9–10 years old of children. Similarly, intersubject similarity analysis confirmed the distinct neural representation patterns of the encoding and retrieval phases. Finally, we determined that the neural similarity between the encoding and retrieval phases in children predominantly manifested in the left occipital region and changed with age.
Supporting Image: Figure_2.png
 

Conclusions:

In summary, our study delved into the relationship between memory representation patterns and development, offering new perspectives to improve our understanding of memory formation. We investigated the neural mechanisms underlying memory development and confirmed that the encoding and retrieval phases of memory have distinct neural patterns of development. These findings contribute to expanding the developmental model of memory and provide strong support for the generative and constructive nature of memory.

Learning and Memory:

Long-Term Memory (Episodic and Semantic) 1

Modeling and Analysis Methods:

EEG/MEG Modeling and Analysis
Multivariate Approaches 2
Other Methods

Keywords:

Development
Electroencephaolography (EEG)
Memory
Other - RSA, neural representation

1|2Indicates the priority used for review

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Please indicate below if your study was a "resting state" or "task-activation” study.

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Healthy subjects only or patients (note that patient studies may also involve healthy subjects):

Healthy subjects

Was this research conducted in the United States?

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Were any human subjects research approved by the relevant Institutional Review Board or ethics panel? NOTE: Any human subjects studies without IRB approval will be automatically rejected.

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Were any animal research approved by the relevant IACUC or other animal research panel? NOTE: Any animal studies without IACUC approval will be automatically rejected.

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EEG/ERP
Behavior
Other, Please specify  -   RSA

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Other, Please list  -   EEGLAB

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