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Nakai T, Kubo R, Nishimoto S. Cortical representational geometry of diverse tasks reveals subject-specific and subject-invariant cognitive structures. Commun Biol 2025; 8:713. [PMID: 40341201 PMCID: PMC12062439 DOI: 10.1038/s42003-025-08134-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 04/25/2025] [Indexed: 05/10/2025] Open
Abstract
The variability in brain function forms the basis for our uniqueness. Prior studies indicate smaller individual differences and larger inter-subject correlation (ISC) in sensorimotor areas than in the association cortex. These studies, deriving information from brain activity, leave individual differences in cognitive structures based on task similarity relations unexplored. This study quantitatively evaluates these differences by integrating ISC, representational similarity analysis, and vertex-wise encoding models using functional magnetic resonance imaging across 25 cognitive tasks. ISC based on cognitive structures enables subject identification with 100% accuracy using at least 14 tasks. ISC is larger in the fronto-parietal association and higher-order visual cortices, suggesting subject-invariant cognitive structures in these regions. Principal component analysis reveals different cognitive structure configurations within these regions. This study provides evidence of individual variability and similarity in abstract cognitive structures.
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Affiliation(s)
- Tomoya Nakai
- Araya Inc, Tokyo, Japan.
- Lyon Neuroscience Research Center (CRNL), INSERM U1028 - CNRS UMR5292, University of Lyon, Bron, France.
- Center for Information and Neural Networks, National Institute of Information and Communications Technology, Suita, Japan.
| | - Rieko Kubo
- Center for Information and Neural Networks, National Institute of Information and Communications Technology, Suita, Japan
- Graduate School of Frontier Biosciences, The University of Osaka, Suita, Japan
| | - Shinji Nishimoto
- Center for Information and Neural Networks, National Institute of Information and Communications Technology, Suita, Japan
- Graduate School of Frontier Biosciences, The University of Osaka, Suita, Japan
- Graduate School of Medicine, The University of Osaka, Suita, Japan
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Li Y, Wang C, Hu W, Zhang Q, Mei H, Ji S, Li D, Wang Y, Kong Y, Song Y, Dong X. Intersubject neural similarity reveals the development trajectory of recognition memory in children. Dev Cogn Neurosci 2025; 73:101553. [PMID: 40121798 PMCID: PMC11979950 DOI: 10.1016/j.dcn.2025.101553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2024] [Revised: 03/11/2025] [Accepted: 03/14/2025] [Indexed: 03/25/2025] Open
Abstract
Recognition memory improves with child development, but the neural mechanisms underlying such improvement and the developmental variation remain poorly understood. Herein, we investigated how the neural representations during the encoding and retrieval phases of recognition memory change with age, using representational similarity analysis in a sample of children aged 6-13 years (n = 137). Our results indicated that the encoding and retrieval phases have distinct neural patterns of development. Similarly, using a model-free approach, we confirmed that there is a key developmental stage (about 9-10 years old) for the neural representation during the encoding phase, whereas the neural representation during the retrieval phase tends to be stable with child development. Additionally, we identified that the neural similarity between the encoding and retrieval phases in children is primarily located in the left parietal-occipital region. Overall, these findings refine the developmental process underlying memory representation and enhance our understanding of the neural mechanisms of recognition memory.
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Affiliation(s)
- Yiwen Li
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
| | - Chaoqun Wang
- Children's Health Research Center, Changzhou Children's Hospital of Nantong University, Changzhou, Jiangsu 213000, China
| | - Weiyu Hu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
| | - Qinfen Zhang
- Children's Health Research Center, Changzhou Children's Hospital of Nantong University, Changzhou, Jiangsu 213000, China
| | - Haitian Mei
- Children's Health Research Center, Changzhou Children's Hospital of Nantong University, Changzhou, Jiangsu 213000, China
| | - Shiyan Ji
- Children's Health Research Center, Changzhou Children's Hospital of Nantong University, Changzhou, Jiangsu 213000, China
| | - Dongwei Li
- Department of Psychology, Faculty of Arts and Sciences, Beijing Normal University, Zhuhai 519087, China; Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University, Beijing 100875, China
| | - Yiyang Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
| | - Yuanjun Kong
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
| | - Yan Song
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.
| | - Xuan Dong
- Children's Health Research Center, Changzhou Children's Hospital of Nantong University, Changzhou, Jiangsu 213000, China.
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Hu H, Li A, Zhang L, Liu C, Shi L, Peng X, Li T, Zhou Y, Xue G. Goal-directed attention transforms both working and long-term memory representations in the human parietal cortex. PLoS Biol 2024; 22:e3002721. [PMID: 39008524 PMCID: PMC11271952 DOI: 10.1371/journal.pbio.3002721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 07/25/2024] [Accepted: 06/24/2024] [Indexed: 07/17/2024] Open
Abstract
The abundance of distractors in the world poses a major challenge to our brain's limited processing capacity, but little is known about how selective attention modulates stimulus representations in the brain to reduce interference and support durable target memory. Here, we collected functional magnetic resonance imaging (fMRI) data in a selective attention task in which target and distractor pictures of different visual categories were simultaneously presented. Participants were asked to selectively process the target according to the effective cue, either before the encoding period (i.e., perceptual attention) or the maintenance period (i.e., reflective attention). On the next day, participants were asked to perform a memory recognition task in the scanner in which the targets, distractors, and novel items were presented in a pseudorandom order. Behavioral results showed that perceptual attention was better at enhancing target memory and reducing distractor memory than reflective attention, although the overall memory capacity (memory for both target and distractor) was comparable. Using multiple-voxel pattern analysis of the neural data, we found more robust target representation and weaker distractor representation in working memory for perceptual attention than for reflective attention. Interestingly, perceptual attention partially shifted the regions involved in maintaining the target representation from the visual cortex to the parietal cortex. Furthermore, the targets and distractors simultaneously presented in the perceptual attention condition showed reduced pattern similarity in the parietal cortex during retrieval compared to items not presented together. This neural pattern repulsion positively correlated with individuals' recognition of both targets and distractors. These results emphasize the critical role of selective attention in transforming memory representations to reduce interference and improve long-term memory performance.
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Affiliation(s)
- Huinan Hu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, PR China
| | - Anqi Li
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, PR China
- Division of Life Science, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, HKSAR, PR China
| | - Liang Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, PR China
| | - Chuqi Liu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, PR China
| | - Liang Shi
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, PR China
| | - Xiaojing Peng
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, PR China
| | - Tong Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, PR China
| | - Yu Zhou
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, PR China
| | - Gui Xue
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, PR China
- Chinese Institute for Brain Research, Beijing, PR China
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Park Y, Zhang Y, Schwartz F, Iuculano T, Chang H, Menon V. Integrated number sense tutoring remediates aberrant neural representations in children with mathematical disabilities. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.09.587577. [PMID: 38645139 PMCID: PMC11030345 DOI: 10.1101/2024.04.09.587577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Number sense is essential for early mathematical development but it is compromised in children with mathematical disabilities (MD). Here we investigate the impact of a personalized 4-week Integrated Number Sense (INS) tutoring program aimed at improving the connection between nonsymbolic (sets of objects) and symbolic (Arabic numerals) representations in children with MD. Utilizing neural pattern analysis, we found that INS tutoring not only improved cross-format mapping but also significantly boosted arithmetic fluency in children with MD. Critically, the tutoring normalized previously low levels of cross-format neural representations in these children to pre-tutoring levels observed in typically developing, especially in key brain regions associated with numerical cognition. Moreover, we identified distinct, 'inverted U-shaped' neurodevelopmental changes in the MD group, suggesting unique neural plasticity during mathematical skill development. Our findings highlight the effectiveness of targeted INS tutoring for remediating numerical deficits in MD, and offer a foundation for developing evidence-based educational interventions.
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Affiliation(s)
- Yunji Park
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, 94305
| | - Yuan Zhang
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, 94305
| | - Flora Schwartz
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, 94305
| | - Teresa Iuculano
- Centre National de la Recherche Scientifique & Université Paris Sorbonne, Paris 75016, France
| | - Hyesang Chang
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, 94305
| | - Vinod Menon
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, 94305
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305
- Stanford Neuroscience Institute, Stanford University, Stanford, California, CA, 94305
- Symbolic Systems Program, Stanford University, Stanford, California, CA, 94305
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