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Barber N, Valoumas I, Leger KR, Chang YL, Huang CM, Goh JOS, Gutchess A. Culture, prefrontal volume, and memory. PLoS One 2024; 19:e0298235. [PMID: 38551909 PMCID: PMC10980194 DOI: 10.1371/journal.pone.0298235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 01/19/2024] [Indexed: 04/01/2024] Open
Abstract
Prior cross-cultural studies have demonstrated differences among Eastern and Western cultures in memory and cognition along with variation in neuroanatomy and functional engagement. We further probed cultural neuroanatomical variability in terms of its relationship with memory performance. Specifically, we investigated how memory performance related to gray matter volume in several prefrontal lobe structures, including across cultures. For 58 American and 57 Taiwanese young adults, memory performance was measured with the California Verbal Learning Test (CVLT) using performance on learning trial 1, on which Americans had higher scores than the Taiwanese, and the long delayed free recall task, on which groups performed similarly. MRI data were reconstructed using FreeSurfer. Across both cultures, we observed that larger volumes of the bilateral rostral anterior cingulate were associated with lower scores on both CVLT tasks. In terms of effects of culture, the relationship between learning trial 1 scores and gray matter volumes in the right superior frontal gyrus had a trend for a positive relationship in Taiwanese but not in Americans. In addition to the a priori analysis of select frontal volumes, an exploratory whole-brain analysis compared volumes-without considering CVLT performance-across the two cultural groups in order to assess convergence with prior research. Several cultural differences were found, such that Americans had larger volumes in the bilateral superior frontal and lateral occipital cortex, whereas Taiwanese had larger volumes in the bilateral rostral middle frontal and inferior temporal cortex, and the right precuneus.
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Affiliation(s)
- Nicolette Barber
- Department of Psychology, Brandeis University, Waltham, MA, United States of America
| | - Ioannis Valoumas
- Department of Psychology, Brandeis University, Waltham, MA, United States of America
| | - Krystal R. Leger
- Department of Psychology, Brandeis University, Waltham, MA, United States of America
| | - Yu-Ling Chang
- Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan
- Neurobiology and Cognitive Science Center, National Taiwan University, Taipei, Taiwan
- Center for Artificial Intelligence and Advanced Robotics, National Taiwan University, Taipei, Taiwan
- Volen National Center for Complex Systems, Brandeis University, Waltham, MA, United States of America
| | - Chih-Mao Huang
- Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
- Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Joshua Oon Soo Goh
- Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan
- Neurobiology and Cognitive Science Center, National Taiwan University, Taipei, Taiwan
- Center for Artificial Intelligence and Advanced Robotics, National Taiwan University, Taipei, Taiwan
- Department of Psychology, National Taiwan University, Taipei, Taiwan
| | - Angela Gutchess
- Department of Psychology, Brandeis University, Waltham, MA, United States of America
- Volen National Center for Complex Systems, Brandeis University, Waltham, MA, United States of America
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Coughlin C, Pudhiyidath A, Roome HE, Varga NL, Nguyen KV, Preston AR. Asynchronous development of memory integration and differentiation influences temporal memory organization. Dev Sci 2024; 27:e13437. [PMID: 37608740 PMCID: PMC10884351 DOI: 10.1111/desc.13437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 06/13/2023] [Accepted: 07/08/2023] [Indexed: 08/24/2023]
Abstract
Adults remember items with shared contexts as occurring closer in time to one another than those associated with different contexts, even when their objective temporal distance is fixed. Such temporal memory biases are thought to reflect within-event integration and between-event differentiation processes that organize events according to their contextual similarities and differences, respectively. Within-event integration and between-event differentiation are hypothesized to differentially rely on binding and control processes, which may develop at different ages. To test this hypothesis, 5- to 12-year-olds and adults (N = 134) studied quartets of image pairs that contained either the same scene (same-context) or different scenes (different-context). Participants remembered same-context items as occurring closer in time by older childhood (7-9 years), whereas different-context items were remembered as occurring farther apart by early adolescence (10-12 years). The differential emergence of these temporal memory biases suggests within-event integration and between-event differentiation emerge at different ages. RESEARCH HIGHLIGHTS: Children are less likely than adults to use contextual information (e.g., location) to organize their continuous experience in memory, as indicated by temporal memory biases. Biases reflecting within-event integration (i.e., remembering elements with a shared context as occurring closer together in time) emerged in late childhood. Biases reflecting between-event differentiation (i.e., remembering elements from different contexts as occurring farther apart in time) emerged in early adolescence. The differential emergence of biases reflecting within-event integration and between-event differentiation suggests they are distinct, yet complementary, processes that support developmental improvements in event memory organization.
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Affiliation(s)
| | - Athula Pudhiyidath
- Center for Learning and Memory, University of Texas at Austin
- Department of Psychology, University of Texas at Austin
| | - Hannah E. Roome
- Center for Learning and Memory, University of Texas at Austin
| | - Nicole L. Varga
- Center for Learning and Memory, University of Texas at Austin
| | - Kim V. Nguyen
- Center for Learning and Memory, University of Texas at Austin
| | - Alison R. Preston
- Center for Learning and Memory, University of Texas at Austin
- Department of Psychology, University of Texas at Austin
- Department of Neuroscience, University of Texas at Austin
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3
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Yin Y, Li S, Tong J, Huang J, Tian B, Chen S, Cui Y, Tan S, Wang Z, Yang F, Tong Y, Hong LE, Tan Y. The age of onset and cognitive impairment at the early stage of schizophrenia. Cogn Neurodyn 2023; 17:183-190. [PMID: 36704632 PMCID: PMC9871127 DOI: 10.1007/s11571-022-09814-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 04/16/2022] [Accepted: 04/21/2022] [Indexed: 01/29/2023] Open
Abstract
In schizophrenia, the age of first episode onset can reflect genetic loading and predict prognosis. Little is known about the association between the age of onset and cognition among individuals with early-stage schizophrenia. We aimed to compare the pre-treatment neurocognition profile between individuals with early-onset schizophrenia (EOS, the age of onset < 18 years), typical-onset schizophrenia (TOS, the age of onset between 18 and 39 years), and late-onset schizophrenia (LOS, the age of onset between 40 and 59 years). We included individuals with a current diagnosis of schizophrenia within 3 years and medication naive or less than 2 weeks of cumulative antipsychotic exposure and current daily antipsychotic dosage equivalent to ≤ 15 mg of olanzapine. Assessments included the MATRICS Consensus Cognitive Battery (MCCB) and the Positive and Negative Syndrome Scale (PANSS). We used linear regression to compare the difference between age-of-onset groups. We included 356 participants (67 EOS, 195 TOS, and 94 LOS). Compared with LOS, TOS was associated with lower scores in the verbal learning scores of the MCCB after adjusting for education years and the subscale scores of the PANSS (45.5 ± 12.9 vs. 40.5 ± 14.1, adjusted B = - 5.79, p = 0.001). The three groups had no difference in other cognitive domain scores. The association between the age of onset and MCCB verbal memory was U-shape (square of the age of onset, adjusted B = 0.02, p = 0.003). Patients with LOS had a better verbal learning function compared with individuals with TOS. These findings suggest that involvement of cognition assessment and rehabilitation training is necessary for patients with TOS.
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Affiliation(s)
- Yi Yin
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People’s Republic of China
| | - Shuangshuang Li
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People’s Republic of China
| | - Jinghui Tong
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People’s Republic of China
| | - Junchao Huang
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People’s Republic of China
| | - Baopeng Tian
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People’s Republic of China
| | - Song Chen
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People’s Republic of China
| | - Yimin Cui
- Department of Pharmacy, Peking University First Hospital, Beijing, People’s Republic of China
| | - Shuping Tan
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People’s Republic of China
| | - Zhiren Wang
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People’s Republic of China
| | - Fude Yang
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People’s Republic of China
| | - Yongsheng Tong
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People’s Republic of China
- WHO Collaborating Center for Research and Training in Suicide Prevention, Beijing Suicide Research and Prevention Center, Beijing, People’s Republic of China
| | - L. Elliot Hong
- Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, USA
| | - Yunlong Tan
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People’s Republic of China
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Distinct multivariate structural brain profiles are related to variations in short- and long-delay memory consolidation across children and young adults. Dev Cogn Neurosci 2022; 59:101192. [PMID: 36566622 PMCID: PMC9803921 DOI: 10.1016/j.dcn.2022.101192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 12/12/2022] [Accepted: 12/21/2022] [Indexed: 12/24/2022] Open
Abstract
From early to middle childhood, brain regions that underlie memory consolidation undergo profound maturational changes. However, there is little empirical investigation that directly relates age-related differences in brain structural measures to memory consolidation processes. The present study examined memory consolidation of intentionally studied object-location associations after one night of sleep (short delay) and after two weeks (long delay) in normally developing 5-to-7-year-old children (n = 50) and young adults (n = 39). Behavioural differences in memory retention rate were related to structural brain measures. Our results showed that children, in comparison to young adults, retained correctly learnt object-location associations less robustly over short and long delay. Moreover, using partial least squares correlation method, a unique multivariate profile comprised of specific neocortical (prefrontal, parietal, and occipital), cerebellar, and hippocampal head and subfield structures in the body was found to be associated with variation in short-delay memory retention. A different multivariate profile comprised of a reduced set of brain structures, mainly consisting of neocortical (prefrontal, parietal, and occipital), hippocampal head, and selective hippocampal subfield structures (CA1-2 and subiculum) was associated with variation in long-delay memory retention. Taken together, the results suggest that multivariate structural pattern of unique sets of brain regions are related to variations in short- and long-delay memory consolidation across children and young adults.
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Liang X, Fu Y, Cao WT, Wang Z, Zhang K, Jiang Z, Jia X, Liu CY, Lin HR, Zhong H, Miao Z, Gou W, Shuai M, Huang Y, Chen S, Zhang B, Chen YM, Zheng JS. Gut microbiome, cognitive function and brain structure: a multi-omics integration analysis. Transl Neurodegener 2022; 11:49. [PMID: 36376937 PMCID: PMC9661756 DOI: 10.1186/s40035-022-00323-z] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 11/01/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Microbiome-gut-brain axis may be involved in the progression of age-related cognitive impairment and relevant brain structure changes, but evidence from large human cohorts is lacking. This study was aimed to investigate the associations of gut microbiome with cognitive impairment and brain structure based on multi-omics from three independent populations. METHODS We included 1430 participants from the Guangzhou Nutrition and Health Study (GNHS) with both gut microbiome and cognitive assessment data available as a discovery cohort, of whom 272 individuals provided fecal samples twice before cognitive assessment. We selected 208 individuals with baseline microbiome data for brain magnetic resonance imaging during the follow-up visit. Fecal 16S rRNA and shotgun metagenomic sequencing, targeted serum metabolomics, and cytokine measurements were performed in the GNHS. The validation analyses were conducted in an Alzheimer's disease case-control study (replication study 1, n = 90) and another community-based cohort (replication study 2, n = 1300) with cross-sectional dataset. RESULTS We found protective associations of specific gut microbial genera (Odoribacter, Butyricimonas, and Bacteroides) with cognitive impairment in both the discovery cohort and the replication study 1. Result of Bacteroides was further validated in the replication study 2. Odoribacter was positively associated with hippocampal volume (β, 0.16; 95% CI 0.06-0.26, P = 0.002), which might be mediated by acetic acids. Increased intra-individual alterations in gut microbial composition were found in participants with cognitive impairment. We also identified several serum metabolites and inflammation-associated metagenomic species and pathways linked to impaired cognition. CONCLUSIONS Our findings reveal that specific gut microbial features are closely associated with cognitive impairment and decreased hippocampal volume, which may play an important role in dementia development.
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Affiliation(s)
- Xinxiu Liang
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
- School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China
| | - Yuanqing Fu
- School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China
| | - Wen-Ting Cao
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
- School of Public Health, Hainan Medical University, Haikou, 571199, China
| | - Zhihong Wang
- Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China
- Key Laboratory of Trace Element Nutrition, National Health Commission, Beijing, 100050, China
| | - Ke Zhang
- School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China
| | - Zengliang Jiang
- School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China
- Westlake Intelligent Biomarker Discovery Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, 310024, China
| | - Xiaofang Jia
- Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China
- Key Laboratory of Trace Element Nutrition, National Health Commission, Beijing, 100050, China
| | - Chun-Ying Liu
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Hong-Rou Lin
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Haili Zhong
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Zelei Miao
- School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China
| | - Wanglong Gou
- School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China
| | - Menglei Shuai
- School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China
| | - Yujing Huang
- School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China
| | - Shengdi Chen
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Bing Zhang
- Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China.
- Key Laboratory of Trace Element Nutrition, National Health Commission, Beijing, 100050, China.
| | - Yu-Ming Chen
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.
| | - Ju-Sheng Zheng
- School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China.
- Westlake Intelligent Biomarker Discovery Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, 310024, China.
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, 310024, China.
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Taconnat L, Bouazzaoui B, Bouquet C, Larigauderie P, Witt A, Blaye A. Cognitive mechanisms underlying free recall in episodic memory performance across the lifespan: testing the control/representation model. PSYCHOLOGICAL RESEARCH 2022; 87:1370-1388. [DOI: 10.1007/s00426-022-01736-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 09/02/2022] [Indexed: 10/14/2022]
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7
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Hennok L, Mädamürk K, Kikas E. Memorization strategies in basic school: grade-related differences in reported use and effectiveness. EUROPEAN JOURNAL OF PSYCHOLOGY OF EDUCATION 2022. [DOI: 10.1007/s10212-022-00630-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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8
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Backhausen LL, Herting MM, Tamnes CK, Vetter NC. Best Practices in Structural Neuroimaging of Neurodevelopmental Disorders. Neuropsychol Rev 2022; 32:400-418. [PMID: 33893904 PMCID: PMC9090677 DOI: 10.1007/s11065-021-09496-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 03/02/2021] [Indexed: 11/25/2022]
Abstract
Structural magnetic resonance imaging (sMRI) offers immense potential for increasing our understanding of how anatomical brain development relates to clinical symptoms and functioning in neurodevelopmental disorders. Clinical developmental sMRI may help identify neurobiological risk factors or markers that may ultimately assist in diagnosis and treatment. However, researchers and clinicians aiming to conduct sMRI studies of neurodevelopmental disorders face several methodological challenges. This review offers hands-on guidelines for clinical developmental sMRI. First, we present brain morphometry metrics and review evidence on typical developmental trajectories throughout adolescence, together with atypical trajectories in selected neurodevelopmental disorders. Next, we discuss challenges and good scientific practices in study design, image acquisition and analysis, and recent options to implement quality control. Finally, we discuss choices related to statistical analysis and interpretation of results. We call for greater completeness and transparency in the reporting of methods to advance understanding of structural brain alterations in neurodevelopmental disorders.
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Affiliation(s)
- Lea L. Backhausen
- Department of Child and Adolescent Psychiatry, Faculty of Medicine of the Technische Universitaet Dresden, Dresden, Germany
| | - Megan M. Herting
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Christian K. Tamnes
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Nora C. Vetter
- Department of Child and Adolescent Psychiatry, Faculty of Medicine of the Technische Universitaet Dresden, Dresden, Germany
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9
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Fong MCM, Ma MKH, Chui JYT, Law TST, Hui NY, Au A, Wang WS. Foreign Language Learning in Older Adults: Anatomical and Cognitive Markers of Vocabulary Learning Success. Front Hum Neurosci 2022; 16:787413. [PMID: 35340542 PMCID: PMC8942782 DOI: 10.3389/fnhum.2022.787413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 02/08/2022] [Indexed: 12/03/2022] Open
Abstract
In recent years, foreign language learning (FLL) has been proposed as a possible cognitive intervention for older adults. However, the brain network and cognitive functions underlying FLL has remained largely unconfirmed in older adults. In particular, older and younger adults have markedly different cognitive profile—while older adults tend to exhibit decline in most cognitive domains, their semantic memory usually remains intact. As such, older adults may engage the semantic functions to a larger extent than the other cognitive functions traditionally considered the most important (e.g., working memory capacity and phonological awareness). Using anatomical measurements and a cognitive test battery, the present study examined this hypothesis in twenty cognitively normal older adults (58–69 years old), who participated in a two-month Italian learning programme. Results showed that the immediate learning success and long-term retention of Italian vocabularies were most consistently predicted by the anatomical measures of the left pars orbitalis and left caudal middle frontal cortex, which are implicated in semantic and episodic memory functions. Convergent evidence was also found based on the pattern of cognitive associations. Our results are consistent with a prominent role of semantic and episodic memory functions in vocabulary learning in older learners.
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Affiliation(s)
- Manson Cheuk-Man Fong
- Research Centre for Language, Cognition, and Neuroscience, Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- *Correspondence: Manson Cheuk-Man Fong
| | - Matthew King-Hang Ma
- Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Jeremy Yin To Chui
- Research Centre for Language, Cognition, and Neuroscience, Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Tammy Sheung Ting Law
- Research Centre for Language, Cognition, and Neuroscience, Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Nga-Yan Hui
- Research Centre for Language, Cognition, and Neuroscience, Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Alma Au
- Department of Applied Social Science, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - William Shiyuan Wang
- Research Centre for Language, Cognition, and Neuroscience, Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
- Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
- William Shiyuan Wang
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Müller NCJ, Kohn N, van Buuren M, Klijn N, Emmen H, Berkers RMWJ, Dresler M, Janzen G, Fernández G. Differences in executive abilities rather than associative processes contribute to memory development. Hum Brain Mapp 2021; 42:6000-6013. [PMID: 34636105 PMCID: PMC8596915 DOI: 10.1002/hbm.25665] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 09/05/2021] [Accepted: 09/06/2021] [Indexed: 11/24/2022] Open
Abstract
Children's learning capabilities change while growing up. One framework that describes the cognitive and neural development of children's growing learning abilities is the two‐component model. It distinguishes processes that integrate separate features into a coherent memory representation (associative component) and executive abilities, such as elaboration, evaluation, and monitoring, that support memory processing (strategic component). In an fMRI study using an object‐location association paradigm, we investigated how the two components influence memory performance across development. We tested children (10–12 years, n = 31), late adolescents (18 years, n = 29), and adults (25+ years, n = 30). For studying the associative component, we also probed how the utilisation of prior knowledge (schemas) facilitates memory across age groups. Children had overall lower retrieval performance, while adolescents and adults did not differ from each other. All groups benefitted from schemas, but this effect did not differ between groups. Performance differences between groups were associated with deactivation of the dorsal medial prefrontal cortex (dmPFC), which in turn was linked to executive functioning. These patterns were stronger in adolescents and adults and seemed absent in children. Thus, the children's executive system, the strategic component, is not as mature and thus cannot facilitate memory performance in the same way as in adolescents/adults. In contrast, we did not find age‐related differences in the associative component; with activity in the angular gyrus predicting memory performance systematically across groups. Overall, our results suggest that differences of executive rather than associative abilities explain memory differences between children, adolescents, and adults.
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Affiliation(s)
- Nils C J Müller
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Nils Kohn
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Mariët van Buuren
- Department of Clinical, Neuro and Developmental Psychology, Faculty of Behavioral and Movement Sciences, Institute for Brain and Behavior Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Nadia Klijn
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Helene Emmen
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Ruud M W J Berkers
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands.,Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Martin Dresler
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands.,Max Planck Institute of Psychiatry, Munich, Germany
| | - Gabriele Janzen
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands.,Behavioural Science Institute, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Guillén Fernández
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
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11
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Nussenbaum K, Hartley CA. Developmental change in prefrontal cortex recruitment supports the emergence of value-guided memory. eLife 2021; 10:e69796. [PMID: 34542408 PMCID: PMC8452307 DOI: 10.7554/elife.69796] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 08/23/2021] [Indexed: 12/18/2022] Open
Abstract
Prioritizing memory for valuable information can promote adaptive behavior across the lifespan, but it is unclear how the neurocognitive mechanisms that enable the selective acquisition of useful knowledge develop. Here, using a novel task coupled with functional magnetic resonance imaging, we examined how children, adolescents, and adults (N = 90) learn from experience what information is likely to be rewarding, and modulate encoding and retrieval processes accordingly. We found that the ability to use learned value signals to selectively enhance memory for useful information strengthened throughout childhood and into adolescence. Encoding and retrieval of high- vs. low-value information was associated with increased activation in striatal and prefrontal regions implicated in value processing and cognitive control. Age-related increases in value-based lateral prefrontal cortex modulation mediated the relation between age and memory selectivity. Our findings demonstrate that developmental increases in the strategic engagement of the prefrontal cortex support the emergence of adaptive memory.
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12
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Pruitt PJ, Tang L, Hayes JM, Ofen N, Damoiseaux JS. Age moderation of the association between negative subsequent memory effects and episodic memory performance. AGING BRAIN 2021; 1:100021. [PMID: 36911506 PMCID: PMC9997129 DOI: 10.1016/j.nbas.2021.100021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 08/18/2021] [Accepted: 08/24/2021] [Indexed: 01/24/2023] Open
Abstract
Negative subsequent memory effects in functional MRI studies of memory formation have been linked to individual differences in memory performance, yet the effect of age on this association is currently unclear. To provide insight into the brain systems related to memory across the lifespan, we examined functional neuroimaging data acquired during episodic memory formation and behavioral performance from a memory recognition task in a sample of 109 participants, including three developmental age groups (8-12, 13-17, 18-25 year-olds) and one additional group of older adults (55-85 year-olds). Young adults showed the highest memory performance and strongest negative subsequent memory effects, while older adults showed reduced negative subsequent memory effects relative to young adults. Across the sample, negative subsequent memory effects were associated with better memory performance, and there was a significant interaction between negative subsequent memory effects and memory performance by age group. Posthoc analyses revealed that this moderation effect was driven by a stronger association between negative subsequent memory effects and memory performance in young adults than children, and that neither children nor older adults showed a significant association. These findings suggest that negative subsequent memory effects may differentially support memory performance across a lifespan trajectory characterized by developmental maturation and support further investigation of this effect in aging.
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Affiliation(s)
- Patrick J. Pruitt
- Institute of Gerontology, Wayne State University, 87 E. Ferry St., Detroit, MI 48202, United States
| | - Lingfei Tang
- Institute of Gerontology, Wayne State University, 87 E. Ferry St., Detroit, MI 48202, United States
- Department of Psychology, Wayne State University, 5057 Woodward Ave. 7th Floor Suite 7908, Detroit, MI 48201, United States
| | - Jessica M. Hayes
- Institute of Gerontology, Wayne State University, 87 E. Ferry St., Detroit, MI 48202, United States
- Department of Psychology, Wayne State University, 5057 Woodward Ave. 7th Floor Suite 7908, Detroit, MI 48201, United States
| | - Noa Ofen
- Institute of Gerontology, Wayne State University, 87 E. Ferry St., Detroit, MI 48202, United States
- Department of Psychology, Wayne State University, 5057 Woodward Ave. 7th Floor Suite 7908, Detroit, MI 48201, United States
| | - Jessica S. Damoiseaux
- Institute of Gerontology, Wayne State University, 87 E. Ferry St., Detroit, MI 48202, United States
- Department of Psychology, Wayne State University, 5057 Woodward Ave. 7th Floor Suite 7908, Detroit, MI 48201, United States
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13
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Fagerlund B, Pantelis C, Jepsen JRM, Raghava JM, Rostrup E, Thomas MB, Nielsen MØ, Bojesen K, Jensen KG, Stentebjerg-Decara M, Klauber DG, Rudå D, Ebdrup BH, Jessen K, Sigvard A, Tangmose K, Jeppesen P, Correll CU, Fink-Jensen A, Pagsberg AK, Glenthøj BY. Differential effects of age at illness onset on verbal memory functions in antipsychotic-naïve schizophrenia patients aged 12-43 years. Psychol Med 2021; 51:1570-1580. [PMID: 32156323 DOI: 10.1017/s0033291720000409] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND The typical onset of schizophrenia coincides with the maturational peak in cognition; however, for a significant proportion of patients the onset is before age 18 and after age 30 years. While cognitive deficits are considered core features of schizophrenia, few studies have directly examined the impact of age of illness onset on cognition. METHODS The aim of the study was to examine if the effects of age on cognition differ between healthy controls (HCs) and patients with schizophrenia at illness onset. We examined 156 first-episode antipsychotic-naïve patients across a wide age span (12-43 years), and 161 age- and sex-matched HCs. Diagnoses were made according to ICD-10 criteria. Cognition was assessed using the Brief Assessment of Cognition in Schizophrenia (BACS), and IQ was estimated using subtests from the Wechsler adult- or child-intelligence scales. Multivariate analysis of covariance (MANCOVA) was used to examine linear and quadratic effects of age on cognitive scores and interactions by group, including sex and parental socioeconomic status as covariates. RESULTS There was a significant overall effect of age on BACS and IQ (p < 0.001). Significant group-by-age interactions for verbal memory (for age-squared, p = 0.009), and digit sequencing (for age, p = 0.01; age-squared, p < 0.001), indicated differential age-related trajectories between patients and HCs. CONCLUSIONS Cognitive functions showing protracted maturation into adulthood, such as verbal memory and verbal working memory, may be particularly impaired in both early- and late-schizophrenia onset. Our findings indicate a potential interaction between the timing of neurodevelopmental maturation and a possible premature age effect in late-onset schizophrenia.
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Affiliation(s)
- Birgitte Fagerlund
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, Glostrup, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Christos Pantelis
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, Glostrup, Denmark
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
| | - Jens Richardt Møllegaard Jepsen
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, Glostrup, Denmark
- Mental Health Services, Capital Region of Denmark, Child and Adolescent Mental Health Center, Copenhagen, Denmark
| | - Jayachandra Mitta Raghava
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, Glostrup, Denmark
- Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet Glostrup, 2600 Glostrup, Denmark
| | - Egill Rostrup
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, Glostrup, Denmark
| | - Marie Bjerregaard Thomas
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, Glostrup, Denmark
| | - Mette Ødegaard Nielsen
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, Glostrup, Denmark
- University of Copenhagen, Faculty of Health and Medical Sciences, Department of Clinical Medicine, Copenhagen, Denmark
| | - Kirsten Bojesen
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, Glostrup, Denmark
| | - Karsten Gjessing Jensen
- Mental Health Services, Capital Region of Denmark, Child and Adolescent Mental Health Center, Copenhagen, Denmark
- University of Copenhagen, Faculty of Health and Medical Sciences, Department of Clinical Medicine, Copenhagen, Denmark
| | - Marie Stentebjerg-Decara
- Mental Health Services, Capital Region of Denmark, Child and Adolescent Mental Health Center, Copenhagen, Denmark
- University of Copenhagen, Faculty of Health and Medical Sciences, Department of Clinical Medicine, Copenhagen, Denmark
| | - Dea Gowers Klauber
- Mental Health Services, Capital Region of Denmark, Child and Adolescent Mental Health Center, Copenhagen, Denmark
- University of Copenhagen, Faculty of Health and Medical Sciences, Department of Clinical Medicine, Copenhagen, Denmark
| | - Ditte Rudå
- Mental Health Services, Capital Region of Denmark, Child and Adolescent Mental Health Center, Copenhagen, Denmark
- University of Copenhagen, Faculty of Health and Medical Sciences, Department of Clinical Medicine, Copenhagen, Denmark
| | - Bjørn H Ebdrup
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, Glostrup, Denmark
- University of Copenhagen, Faculty of Health and Medical Sciences, Department of Clinical Medicine, Copenhagen, Denmark
| | - Kasper Jessen
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, Glostrup, Denmark
| | - Anne Sigvard
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, Glostrup, Denmark
- University of Copenhagen, Faculty of Health and Medical Sciences, Department of Clinical Medicine, Copenhagen, Denmark
| | - Karen Tangmose
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, Glostrup, Denmark
- University of Copenhagen, Faculty of Health and Medical Sciences, Department of Clinical Medicine, Copenhagen, Denmark
| | - Pia Jeppesen
- Mental Health Services, Capital Region of Denmark, Child and Adolescent Mental Health Center, Copenhagen, Denmark
- University of Copenhagen, Faculty of Health and Medical Sciences, Department of Clinical Medicine, Copenhagen, Denmark
| | - Christoph U Correll
- The Zucker Hillside Hospital, Department of Psychiatry, Northwell Health, Glen Oaks, NY, USA
- Zucker School of Medicine at Hofstra/Northwell, Department of Psychiatry and Molecular Medicine, Hempstead, NY, USA
- Charité Universitätsmedizin Berlin, Department of Child and Adolescent Psychiatry, Berlin, Germany
| | - Anders Fink-Jensen
- University of Copenhagen, Faculty of Health and Medical Sciences, Department of Clinical Medicine, Copenhagen, Denmark
- Mental Health Center Copenhagen, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Anne Katrine Pagsberg
- Mental Health Services, Capital Region of Denmark, Child and Adolescent Mental Health Center, Copenhagen, Denmark
- University of Copenhagen, Faculty of Health and Medical Sciences, Department of Clinical Medicine, Copenhagen, Denmark
| | - Birte Yding Glenthøj
- Center for Neuropsychiatric Schizophrenia Research (CNSR) and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, Glostrup, Denmark
- University of Copenhagen, Faculty of Health and Medical Sciences, Department of Clinical Medicine, Copenhagen, Denmark
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14
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Evaluating the efficacy of a teacher-guided comprehension-oriented learning strategy intervention among students in Grade 4. EUROPEAN JOURNAL OF PSYCHOLOGY OF EDUCATION 2021. [DOI: 10.1007/s10212-021-00538-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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15
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Ghetti S, Fandakova Y. Neural Development of Memory and Metamemory in Childhood and Adolescence: Toward an Integrative Model of the Development of Episodic Recollection. ACTA ACUST UNITED AC 2020. [DOI: 10.1146/annurev-devpsych-060320-085634] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Memory and metamemory processes are essential to retrieve detailed memories and appreciate the phenomenological experience of recollection. Developmental cognitive neuroscience has made strides in revealing the neural changes associated with improvements in memory and metamemory during childhood and adolescence. We argue that hippocampal changes, in concert with surrounding cortical regions, support developmental improvements in the precision, complexity, and flexibility of memory representations. In contrast, changes in frontoparietal regions promote efficient encoding and retrieval strategies. A smaller body of literature on the neural substrates of metamemory development suggests that error monitoring processes implemented in the anterior insula and dorsal anterior cingulate cortex trigger, and perhaps support the development of, metacognitive evaluationsin the prefrontal cortex, while developmental changes in the parietal cortex support changes in the phenomenological experience of episodic retrieval. Our conclusions highlight the necessity of integrating these lines of research into a comprehensive model on the neurocognitive development of episodic recollection.
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Affiliation(s)
- Simona Ghetti
- Department of Psychology and Center for Mind and Brain, University of California, Davis, California 95618, USA
| | - Yana Fandakova
- Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195 Berlin, Germany
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16
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Yin Q, Johnson EL, Tang L, Auguste KI, Knight RT, Asano E, Ofen N. Direct brain recordings reveal occipital cortex involvement in memory development. Neuropsychologia 2020; 148:107625. [PMID: 32941883 PMCID: PMC7704894 DOI: 10.1016/j.neuropsychologia.2020.107625] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Revised: 07/25/2020] [Accepted: 09/09/2020] [Indexed: 01/01/2023]
Abstract
Processing of low-level visual information shows robust developmental gains through childhood and adolescence. However, it is unknown whether low-level visual processing in the occipital cortex supports age-related gains in memory for complex visual stimuli. Here, we examined occipital alpha activity during visual scene encoding in 24 children and adolescents, aged 6.2-20.5 years, who performed a subsequent memory task while undergoing electrocorticographic recording. Scenes were classified as high- or low-complexity by the number of unique object categories depicted. We found that recognition of high-complexity, but not low-complexity, scenes increased with age. Age was associated with decreased alpha power and increased instantaneous alpha frequency during the encoding of subsequently recognized high- compared to low-complexity scenes. Critically, decreased alpha power predicted improved recognition of high-complexity scenes in adolescents. These findings demonstrate how the functional maturation of the occipital cortex supports the development of memory for complex visual scenes.
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Affiliation(s)
- Qin Yin
- Life-Span Cognitive Neuroscience Program, Institute of Gerontology and Merrill Palmer Skillman Institute, Wayne State University, Detroit, MI, USA; Department of Psychology, Wayne State University, Detroit, MI, USA
| | - Elizabeth L Johnson
- Life-Span Cognitive Neuroscience Program, Institute of Gerontology and Merrill Palmer Skillman Institute, Wayne State University, Detroit, MI, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA
| | - Lingfei Tang
- Life-Span Cognitive Neuroscience Program, Institute of Gerontology and Merrill Palmer Skillman Institute, Wayne State University, Detroit, MI, USA; Department of Psychology, Wayne State University, Detroit, MI, USA
| | - Kurtis I Auguste
- Department of Neurological Surgery, University of California, San Francisco, CA, USA; Department of Surgery, Division of Neurological Surgery, Children's Hospital and Research Center, Oakland, CA, USA
| | - Robert T Knight
- Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA; Department of Psychology, University of California, Berkeley, CA, USA
| | - Eishi Asano
- Departments of Pediatrics and Neurology, Children's Hospital of Michigan, Wayne State University, Detroit, MI, USA
| | - Noa Ofen
- Life-Span Cognitive Neuroscience Program, Institute of Gerontology and Merrill Palmer Skillman Institute, Wayne State University, Detroit, MI, USA; Department of Psychology, Wayne State University, Detroit, MI, USA.
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17
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Arnoriaga-Rodríguez M, Mayneris-Perxachs J, Burokas A, Contreras-Rodríguez O, Blasco G, Coll C, Biarnés C, Miranda-Olivos R, Latorre J, Moreno-Navarrete JM, Castells-Nobau A, Sabater M, Palomo-Buitrago ME, Puig J, Pedraza S, Gich J, Pérez-Brocal V, Ricart W, Moya A, Fernández-Real X, Ramió-Torrentà L, Pamplona R, Sol J, Jové M, Portero-Otin M, Maldonado R, Fernández-Real JM. Obesity Impairs Short-Term and Working Memory through Gut Microbial Metabolism of Aromatic Amino Acids. Cell Metab 2020; 32:548-560.e7. [PMID: 33027674 DOI: 10.1016/j.cmet.2020.09.002] [Citation(s) in RCA: 69] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 05/12/2020] [Accepted: 08/31/2020] [Indexed: 02/07/2023]
Abstract
The gut microbiome has been linked to fear extinction learning in animal models. Here, we aimed to explore the gut microbiome and memory domains according to obesity status. A specific microbiome profile associated with short-term memory, working memory, and the volume of the hippocampus and frontal regions of the brain differentially in human subjects with and without obesity. Plasma and fecal levels of aromatic amino acids, their catabolites, and vegetable-derived compounds were longitudinally associated with short-term and working memory. Functionally, microbiota transplantation from human subjects with obesity led to decreased memory scores in mice, aligning this trait from humans with that of recipient mice. RNA sequencing of the medial prefrontal cortex of mice revealed that short-term memory associated with aromatic amino acid pathways, inflammatory genes, and clusters of bacterial species. These results highlight the potential therapeutic value of targeting the gut microbiota for memory impairment, specifically in subjects with obesity.
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Affiliation(s)
- María Arnoriaga-Rodríguez
- Department of Diabetes, Endocrinology and Nutrition, Dr. Josep Trueta University Hospital, Girona, Spain; Nutrition, Eumetabolism and Health Group, Girona Biomedical Research Institute (IdibGi), Girona, Spain; Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain; Department of Medical Sciences, Faculty of Medicine, Girona University, Girona, Spain
| | - Jordi Mayneris-Perxachs
- Department of Diabetes, Endocrinology and Nutrition, Dr. Josep Trueta University Hospital, Girona, Spain; Nutrition, Eumetabolism and Health Group, Girona Biomedical Research Institute (IdibGi), Girona, Spain; Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain
| | - Aurelijus Burokas
- Laboratory of Neuropharmacology, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - Oren Contreras-Rodríguez
- Nutrition, Eumetabolism and Health Group, Girona Biomedical Research Institute (IdibGi), Girona, Spain; Psychiatry Department, Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL) and CIBERSAM, Barcelona, Spain
| | - Gerard Blasco
- Institute of Diagnostic Imaging (IDI)-Research Unit (IDIR), Parc Sanitari Pere Virgili, Barcelona, Spain; Medical Imaging, Girona Biomedical Research Institute (IdibGi), Girona, Spain
| | - Clàudia Coll
- Neuroimmunology and Multiple Sclerosis Unit, Department of Neurology, Dr. Josep Trueta University Hospital, Girona, Spain
| | - Carles Biarnés
- Institute of Diagnostic Imaging (IDI)-Research Unit (IDIR), Parc Sanitari Pere Virgili, Barcelona, Spain
| | - Romina Miranda-Olivos
- Nutrition, Eumetabolism and Health Group, Girona Biomedical Research Institute (IdibGi), Girona, Spain; Psychiatry Department, Bellvitge University Hospital, Bellvitge Biomedical Research Institute (IDIBELL) and CIBERSAM, Barcelona, Spain
| | - Jèssica Latorre
- Department of Diabetes, Endocrinology and Nutrition, Dr. Josep Trueta University Hospital, Girona, Spain; Nutrition, Eumetabolism and Health Group, Girona Biomedical Research Institute (IdibGi), Girona, Spain; Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain
| | - José-Maria Moreno-Navarrete
- Department of Diabetes, Endocrinology and Nutrition, Dr. Josep Trueta University Hospital, Girona, Spain; Nutrition, Eumetabolism and Health Group, Girona Biomedical Research Institute (IdibGi), Girona, Spain; Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain; Department of Medical Sciences, Faculty of Medicine, Girona University, Girona, Spain
| | - Anna Castells-Nobau
- Department of Diabetes, Endocrinology and Nutrition, Dr. Josep Trueta University Hospital, Girona, Spain; Nutrition, Eumetabolism and Health Group, Girona Biomedical Research Institute (IdibGi), Girona, Spain; Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain
| | - Mònica Sabater
- Department of Diabetes, Endocrinology and Nutrition, Dr. Josep Trueta University Hospital, Girona, Spain; Nutrition, Eumetabolism and Health Group, Girona Biomedical Research Institute (IdibGi), Girona, Spain; Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain
| | - María Encarnación Palomo-Buitrago
- Department of Diabetes, Endocrinology and Nutrition, Dr. Josep Trueta University Hospital, Girona, Spain; Nutrition, Eumetabolism and Health Group, Girona Biomedical Research Institute (IdibGi), Girona, Spain
| | - Josep Puig
- Department of Medical Sciences, Faculty of Medicine, Girona University, Girona, Spain; Institute of Diagnostic Imaging (IDI)-Research Unit (IDIR), Parc Sanitari Pere Virgili, Barcelona, Spain; Medical Imaging, Girona Biomedical Research Institute (IdibGi), Girona, Spain
| | - Salvador Pedraza
- Department of Medical Sciences, Faculty of Medicine, Girona University, Girona, Spain; Medical Imaging, Girona Biomedical Research Institute (IdibGi), Girona, Spain; Department of Radiology, Dr. Josep Trueta University Hospital, Girona, Spain
| | - Jordi Gich
- Department of Medical Sciences, Faculty of Medicine, Girona University, Girona, Spain; Girona Neurodegeneration and Neuroinflammation Group, Girona Biomedical Research Institute (IdibGi), Girona, Spain
| | - Vicente Pérez-Brocal
- Department of Genomics and Health, Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO-Public Health), Valencia, Spain; Biomedical Research Networking Center for Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Wifredo Ricart
- Department of Diabetes, Endocrinology and Nutrition, Dr. Josep Trueta University Hospital, Girona, Spain; Nutrition, Eumetabolism and Health Group, Girona Biomedical Research Institute (IdibGi), Girona, Spain; Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain; Department of Medical Sciences, Faculty of Medicine, Girona University, Girona, Spain
| | - Andrés Moya
- Department of Genomics and Health, Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO-Public Health), Valencia, Spain; Biomedical Research Networking Center for Epidemiology and Public Health (CIBERESP), Madrid, Spain; Institute for Integrative Systems Biology (I2SysBio), University of Valencia and Spanish National Research Council (CSIC), Valencia, Spain
| | - Xavier Fernández-Real
- Institute of Mathematics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Lluís Ramió-Torrentà
- Department of Medical Sciences, Faculty of Medicine, Girona University, Girona, Spain; Neuroimmunology and Multiple Sclerosis Unit, Department of Neurology, Dr. Josep Trueta University Hospital, Girona, Spain; Girona Neurodegeneration and Neuroinflammation Group, Girona Biomedical Research Institute (IdibGi), Girona, Spain
| | - Reinald Pamplona
- Metabolic Pathophysiology Research Group, Lleida Biomedical Research Institute (IRBLleida)-Universitat de Lleida, Lleida, Spain
| | - Joaquim Sol
- Metabolic Pathophysiology Research Group, Lleida Biomedical Research Institute (IRBLleida)-Universitat de Lleida, Lleida, Spain
| | - Mariona Jové
- Metabolic Pathophysiology Research Group, Lleida Biomedical Research Institute (IRBLleida)-Universitat de Lleida, Lleida, Spain
| | - Manuel Portero-Otin
- Metabolic Pathophysiology Research Group, Lleida Biomedical Research Institute (IRBLleida)-Universitat de Lleida, Lleida, Spain
| | - Rafael Maldonado
- Laboratory of Neuropharmacology, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.
| | - José Manuel Fernández-Real
- Department of Diabetes, Endocrinology and Nutrition, Dr. Josep Trueta University Hospital, Girona, Spain; Nutrition, Eumetabolism and Health Group, Girona Biomedical Research Institute (IdibGi), Girona, Spain; Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain; Department of Medical Sciences, Faculty of Medicine, Girona University, Girona, Spain.
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18
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Tang L, Pruitt PJ, Yu Q, Homayouni R, Daugherty AM, Damoiseaux JS, Ofen N. Differential Functional Connectivity in Anterior and Posterior Hippocampus Supporting the Development of Memory Formation. Front Hum Neurosci 2020; 14:204. [PMID: 32581749 PMCID: PMC7291774 DOI: 10.3389/fnhum.2020.00204] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2019] [Accepted: 05/06/2020] [Indexed: 12/11/2022] Open
Abstract
Neuroimaging evidence suggests that the development of the hippocampus, a brain structure critical for memory function, contributes to the improvements of episodic memory between middle childhood to adulthood. However, investigations on age differences in hippocampal activation and functional connectivity and their contributions to the development of memory have yielded mixed results. Given the known structural and functional heterogeneity along the long axis of the hippocampus, we investigated age differences in the activation and functional connectivity in hippocampal subregions with a cross-sectional sample of 96 participants ages 8–25 years. We found that anterior and posterior hippocampus supported memory formation, and there was overall stability in memory-related hippocampal activation with age. Without taking account of memory outcome, direct contrast between subregions showed higher functional connectivity of anterior, compared to the posterior hippocampus, with regions in the inferior frontal and lateral temporal lobes, and higher functional connectivity of posterior, compared to the anterior hippocampus, with regions in the medial and superior frontal, inferior parietal, and occipital lobes. A direct contrast between the memory-related connectivity patterns of anterior and posterior hippocampus identified a region in the medial frontal cortex, with which anterior and posterior hippocampus was differentially functionally connected. Finally, we identified age differences in memory-related differential hippocampal functional connectivity with several frontal and visual/sensory cortices, underscoring the importance of examining age differences in the patterns of hippocampal connectivity. Moreover, the specific patterns of differential anterior and posterior functional connectivity indicate an increase in the functional specialization along the long axis of the hippocampus and a dynamic shift in hippocampal connectivity patterns that supports memory development.
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Affiliation(s)
- Lingfei Tang
- Institute of Gerontology, Wayne State University, Detroit, MI, United States.,Department of Psychology, Wayne State University, Detroit, MI, United States
| | - Patrick J Pruitt
- Institute of Gerontology, Wayne State University, Detroit, MI, United States
| | - Qijing Yu
- Institute of Gerontology, Wayne State University, Detroit, MI, United States.,Department of Psychology, Wayne State University, Detroit, MI, United States
| | - Roya Homayouni
- Institute of Gerontology, Wayne State University, Detroit, MI, United States.,Department of Psychology, Wayne State University, Detroit, MI, United States
| | - Ana M Daugherty
- Institute of Gerontology, Wayne State University, Detroit, MI, United States.,Department of Psychology, Wayne State University, Detroit, MI, United States.,Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, United States
| | - Jessica S Damoiseaux
- Institute of Gerontology, Wayne State University, Detroit, MI, United States.,Department of Psychology, Wayne State University, Detroit, MI, United States
| | - Noa Ofen
- Institute of Gerontology, Wayne State University, Detroit, MI, United States.,Department of Psychology, Wayne State University, Detroit, MI, United States.,Neurobiology Department, Weizmann Institute of Science, Rehovot, Israel
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19
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Taconnat L, Morel S, Guerrero-Sastoque L, Frasca M, Vibert N. What eye movements reveal about strategy encoding of words in younger and older adults. Memory 2020; 28:537-552. [PMID: 32216583 DOI: 10.1080/09658211.2020.1745848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
The main goal of this study was to explore the organizational strategies used by younger and older adults when encoding words, using eye-tracking. Participants had to learn a set of organizable words and then a set of non-organizable words, each presented on a single display. Participants were then asked to recall the words of each set in the order in which they came to their mind. Hence, the participants' encoding strategies revealed by eye-tracking could be directly related to their subsequent memory performance. The results confirmed the detrimental impact of aging on memory and the weaker use of organizational strategies by older adults during the recall phase. The eye-tracking data showed that when they encode the words, older adults do not look at them for as long as younger adults, probably because of slower eye movements. They also revealed that compared to younger adults, older adults were much less able to adapt their word scanning strategy according to whether the words to encode were organizable or not. Finally, the relationships that were found between the recall scores and the eye-tracking data suggest that the eye movement pattern at learning can predict how people will recall the words.
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Affiliation(s)
- Laurence Taconnat
- Centre de Recherches sur la Cognition et l'Apprentissage, CNRS, Université de Poitiers, Université de Tours, France
| | - Shasha Morel
- Centre de Recherches sur la Cognition et l'Apprentissage, CNRS, Université de Poitiers, Université de Tours, France
| | - Lina Guerrero-Sastoque
- Centre de Recherches sur la Cognition et l'Apprentissage, CNRS, Université de Poitiers, Université de Tours, France
| | - Mickaël Frasca
- Centre de Recherches sur la Cognition et l'Apprentissage, CNRS, Université de Poitiers, Université de Tours, France.,Maison des Sciences de l'Homme et de la Société, Poitiers, France
| | - Nicolas Vibert
- Centre de Recherches sur la Cognition et l'Apprentissage, CNRS, Université de Poitiers, Université de Tours, France.,Maison des Sciences de l'Homme et de la Société, Poitiers, France
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20
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Hubbard NA, Siless V, Frosch IR, Goncalves M, Lo N, Wang J, Bauer CCC, Conroy K, Cosby E, Hay A, Jones R, Pinaire M, Vaz De Souza F, Vergara G, Ghosh S, Henin A, Hirshfeld-Becker DR, Hofmann SG, Rosso IM, Auerbach RP, Pizzagalli DA, Yendiki A, Gabrieli JDE, Whitfield-Gabrieli S. Brain function and clinical characterization in the Boston adolescent neuroimaging of depression and anxiety study. Neuroimage Clin 2020; 27:102240. [PMID: 32361633 PMCID: PMC7199015 DOI: 10.1016/j.nicl.2020.102240] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 03/09/2020] [Accepted: 03/10/2020] [Indexed: 12/28/2022]
Abstract
We present a Human Connectome Project study tailored toward adolescent anxiety and depression. This study is one of the first studies of the Connectomes Related to Human Diseases initiative and is collecting structural, functional, and diffusion-weighted brain imaging data from up to 225 adolescents (ages 14-17 years), 150 of whom are expected to have a current diagnosis of an anxiety and/or depressive disorder. Comprehensive clinical and neuropsychological evaluations and longitudinal clinical data are also being collected. This article provides an overview of task functional magnetic resonance imaging (fMRI) protocols and preliminary findings (N = 140), as well as clinical and neuropsychological characterization of adolescents. Data collection is ongoing for an additional 85 adolescents, most of whom are expected to have a diagnosis of an anxiety and/or depressive disorder. Data from the first 140 adolescents are projected for public release through the National Institutes of Health Data Archive (NDA) with the timing of this manuscript. All other data will be made publicly-available through the NDA at regularly scheduled intervals. This article is intended to serve as an introduction to this project as well as a reference for those seeking to clinical, neurocognitive, and task fMRI data from this public resource.
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Affiliation(s)
- N A Hubbard
- Massachusetts Institute of Technology, Cambridge, MA, United States; University of Nebraska-Lincoln, Lincoln, NE, United States
| | - V Siless
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - I R Frosch
- Massachusetts Institute of Technology, Cambridge, MA, United States
| | - M Goncalves
- Massachusetts Institute of Technology, Cambridge, MA, United States
| | - N Lo
- Massachusetts Institute of Technology, Cambridge, MA, United States
| | - J Wang
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - C C C Bauer
- Massachusetts Institute of Technology, Cambridge, MA, United States
| | - K Conroy
- Boston University, Boston, MA, United States
| | - E Cosby
- Harvard Medical School, Boston, MA, United States; McLean Hospital, Belmont, MA, United States
| | - A Hay
- Boston University, Boston, MA, United States
| | - R Jones
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - M Pinaire
- Boston University, Boston, MA, United States
| | - F Vaz De Souza
- Harvard Medical School, Boston, MA, United States; Massachusetts General Hospital, Boston, MA, United States
| | - G Vergara
- Harvard Medical School, Boston, MA, United States; McLean Hospital, Belmont, MA, United States
| | - S Ghosh
- Massachusetts Institute of Technology, Cambridge, MA, United States; Harvard Medical School, Boston, MA, United States
| | - A Henin
- Harvard Medical School, Boston, MA, United States; Massachusetts General Hospital, Boston, MA, United States
| | - D R Hirshfeld-Becker
- Harvard Medical School, Boston, MA, United States; Massachusetts General Hospital, Boston, MA, United States
| | - S G Hofmann
- Boston University, Boston, MA, United States
| | - I M Rosso
- Harvard Medical School, Boston, MA, United States; McLean Hospital, Belmont, MA, United States
| | - R P Auerbach
- Columbia University, New York, NY, United States
| | - D A Pizzagalli
- Harvard Medical School, Boston, MA, United States; McLean Hospital, Belmont, MA, United States
| | - A Yendiki
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - J D E Gabrieli
- Massachusetts Institute of Technology, Cambridge, MA, United States
| | - S Whitfield-Gabrieli
- Massachusetts Institute of Technology, Cambridge, MA, United States; Northeastern University, Boston, MA, United States.
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21
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Fandakova Y, Leckey S, Driver CC, Bunge SA, Ghetti S. Neural specificity of scene representations is related to memory performance in childhood. Neuroimage 2019; 199:105-113. [PMID: 31121295 DOI: 10.1016/j.neuroimage.2019.05.050] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Revised: 05/16/2019] [Accepted: 05/18/2019] [Indexed: 12/26/2022] Open
Abstract
Successful memory encoding is supported by medial temporal, retrosplenial, and occipital regions, which show developmental differences in recruitment from childhood to adulthood. However, little is known about the extent to which neural specificity in these brain regions, or the distinctiveness with which sensory information is represented, continues to develop during middle childhood and how it contributes to memory performance. The present study used multivariate pattern analysis to examine the distinctiveness of different scene representations in 169 children and 31 adults, and its relation to memory performance. Most children provided data over up to three measurement occasions between 8 and 15 years (267 total scans), allowing us to examine changes in memory and neural specificity over time. Memory performance was lower in children than in adults, and increased in children over time. Different scenes presented during memory encoding could be reliably decoded from parahippocampal, lateral occipital, and retrosplenial regions in children and adults. Neural specificity in children was similar to adults, and did not change reliably over time. Among children, higher neural specificity in scene-processing regions was associated with better memory concurrently. These results suggest that the distinctiveness with which incoming information is represented is important for memory performance in childhood, but other processes operating on these representations support developmental improvements in memory performance over time.
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Affiliation(s)
- Yana Fandakova
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany; Center for Mind and Brain, University of California, Davis, 267 Cousteau Place, Davis, CA 95616, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, 132 Barker Hall, Berkeley, CA 94720, USA.
| | - Sarah Leckey
- Center for Mind and Brain, University of California, Davis, 267 Cousteau Place, Davis, CA 95616, USA; Department of Psychology, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA
| | - Charles C Driver
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany
| | - Silvia A Bunge
- Helen Wills Neuroscience Institute, University of California, Berkeley, 132 Barker Hall, Berkeley, CA 94720, USA; Department of Psychology, University of California, Berkeley, 3407 Tolman Hall, Berkeley, CA 94720, USA
| | - Simona Ghetti
- Center for Mind and Brain, University of California, Davis, 267 Cousteau Place, Davis, CA 95616, USA; Department of Psychology, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA.
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