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Yang G, Jiang J. Cost-benefit Tradeoff Mediates the Rule- to Memory-based Processing Transition during Practice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.13.580214. [PMID: 38405946 PMCID: PMC10888779 DOI: 10.1101/2024.02.13.580214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Practice not only improves task performance, but also changes task execution from rule- to memory-based processing by incorporating experiences from practice. However, how and when this change occurs is unclear. We tested the hypothesis that strategy transition in task learning results from cost-benefit analysis. Participants learned two task sequences and were then queried about the task type at a cued sequence and position. Behavioral improvement with practice can be accounted for by a computational model implementing cost-benefit analysis. Model-predicted strategy transition points are related to behavioral slowing and changes in fMRI activation patterns in the dorsolateral prefrontal cortex. Strategy transition is also related to increased pattern separation in the ventromedial prefrontal cortex. The cost-benefit analysis model outperforms alternative models (e.g., both strategies racing for being expressed in behavior) in accounting for empirical data. These findings support cost-benefit analysis as a mechanism of practice-induced strategy shift.
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Affiliation(s)
- Guochun Yang
- Cognitive Control Collaborative, University of Iowa, Iowa City, IA 52242, USA
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA 52242, USA
| | - Jiefeng Jiang
- Cognitive Control Collaborative, University of Iowa, Iowa City, IA 52242, USA
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA 52242, USA
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA 52242, USA
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2
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Ritvo VJH, Nguyen A, Turk-Browne NB, Norman KA. Differentiation and Integration of Competing Memories: A Neural Network Model. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.04.02.535239. [PMID: 37066178 PMCID: PMC10103961 DOI: 10.1101/2023.04.02.535239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
What determines when neural representations of memories move together (integrate) or apart (differentiate)? Classic supervised learning models posit that, when two stimuli predict similar outcomes, their representations should integrate. However, these models have recently been challenged by studies showing that pairing two stimuli with a shared associate can sometimes cause differentiation, depending on the parameters of the study and the brain region being examined. Here, we provide a purely unsupervised neural network model that can explain these and other related findings. The model can exhibit integration or differentiation depending on the amount of activity allowed to spread to competitors - inactive memories are not modified, connections to moderately active competitors are weakened (leading to differentiation), and connections to highly active competitors are strengthened (leading to integration). The model also makes several novel predictions - most importantly, that when differentiation occurs as a result of this unsupervised learning mechanism, it will be rapid and asymmetric, and it will give rise to anticorrelated representations in the region of the brain that is the source of the differentiation. Overall, these modeling results provide a computational explanation for a diverse set of seemingly contradictory empirical findings in the memory literature, as well as new insights into the dynamics at play during learning.
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Affiliation(s)
| | - Alex Nguyen
- Princeton Neuroscience Institute, Princeton University
| | | | - Kenneth A. Norman
- Department of Psychology, Princeton University
- Princeton Neuroscience Institute, Princeton University
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3
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Delhaye E, D'Innocenzo G, Raposo A, Coco MI. The upside of cumulative conceptual interference on exemplar-level mnemonic discrimination. Mem Cognit 2024:10.3758/s13421-024-01563-2. [PMID: 38709388 DOI: 10.3758/s13421-024-01563-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/21/2024] [Indexed: 05/07/2024]
Abstract
Although long-term visual memory (LTVM) has a remarkable capacity, the fidelity of its episodic representations can be influenced by at least two intertwined interference mechanisms during the encoding of objects belonging to the same category: the capacity to hold similar episodic traces (e.g., different birds) and the conceptual similarity of the encoded traces (e.g., a sparrow shares more features with a robin than with a penguin). The precision of episodic traces can be tested by having participants discriminate lures (unseen objects) from targets (seen objects) representing different exemplars of the same concept (e.g., two visually similar penguins), which generates interference at retrieval that can be solved if efficient pattern separation happened during encoding. The present study examines the impact of within-category encoding interference on the fidelity of mnemonic object representations, by manipulating an index of cumulative conceptual interference that represents the concurrent impact of capacity and similarity. The precision of mnemonic discrimination was further assessed by measuring the impact of visual similarity between targets and lures in a recognition task. Our results show a significant decrement in the correct identification of targets for increasing interference. Correct rejections of lures were also negatively impacted by cumulative interference as well as by the visual similarity with the target. Most interestingly though, mnemonic discrimination for targets presented with a visually similar lure was more difficult when objects were encoded under lower, not higher, interference. These findings counter a simply additive impact of interference on the fidelity of object representations providing a finer-grained, multi-factorial, understanding of interference in LTVM.
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Affiliation(s)
- Emma Delhaye
- CICPSI, Faculdade de Psicologia, Universidade de Lisboa, Lisboa, Portugal
- GIGA-CRC In-Vivo Imaging, University of Liège, Liège, Belgium
| | | | - Ana Raposo
- CICPSI, Faculdade de Psicologia, Universidade de Lisboa, Lisboa, Portugal
| | - Moreno I Coco
- Department of Psychology, Sapienza University of Rome, Rome, Italy.
- IRCSS Santa Lucia, Roma, Italy.
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4
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Qiu Y, Li H, Liao J, Chen K, Wu X, Liu B, Huang R. Forming cognitive maps for abstract spaces: the roles of the human hippocampus and orbitofrontal cortex. Commun Biol 2024; 7:517. [PMID: 38693344 PMCID: PMC11063219 DOI: 10.1038/s42003-024-06214-5] [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: 06/09/2023] [Accepted: 04/18/2024] [Indexed: 05/03/2024] Open
Abstract
How does the human brain construct cognitive maps for decision-making and inference? Here, we conduct an fMRI study on a navigation task in multidimensional abstract spaces. Using a deep neural network model, we assess learning levels and categorized paths into exploration and exploitation stages. Univariate analyses show higher activation in the bilateral hippocampus and lateral prefrontal cortex during exploration, positively associated with learning level and response accuracy. Conversely, the bilateral orbitofrontal cortex (OFC) and retrosplenial cortex show higher activation during exploitation, negatively associated with learning level and response accuracy. Representational similarity analysis show that the hippocampus, entorhinal cortex, and OFC more accurately represent destinations in exploitation than exploration stages. These findings highlight the collaboration between the medial temporal lobe and prefrontal cortex in learning abstract space structures. The hippocampus may be involved in spatial memory formation and representation, while the OFC integrates sensory information for decision-making in multidimensional abstract spaces.
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Affiliation(s)
- Yidan Qiu
- School of Psychology; Center for the Study of Applied Psychology; Key Laboratory of Mental Health and Cognitive Science of Guangdong Province; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education; South China Normal University, Guangzhou, 510631, China
| | - Huakang Li
- School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, China
| | - Jiajun Liao
- School of Psychology; Center for the Study of Applied Psychology; Key Laboratory of Mental Health and Cognitive Science of Guangdong Province; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education; South China Normal University, Guangzhou, 510631, China
| | - Kemeng Chen
- School of Psychology; Center for the Study of Applied Psychology; Key Laboratory of Mental Health and Cognitive Science of Guangdong Province; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education; South China Normal University, Guangzhou, 510631, China
| | - Xiaoyan Wu
- School of Psychology; Center for the Study of Applied Psychology; Key Laboratory of Mental Health and Cognitive Science of Guangdong Province; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education; South China Normal University, Guangzhou, 510631, China
| | - Bingyi Liu
- School of Psychology; Center for the Study of Applied Psychology; Key Laboratory of Mental Health and Cognitive Science of Guangdong Province; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education; South China Normal University, Guangzhou, 510631, China
| | - Ruiwang Huang
- School of Psychology; Center for the Study of Applied Psychology; Key Laboratory of Mental Health and Cognitive Science of Guangdong Province; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education; South China Normal University, Guangzhou, 510631, China.
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5
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Cowan ET, Zhang Y, Rottman BM, Murty VP. The effects of mnemonic variability and spacing on memory over multiple timescales. Proc Natl Acad Sci U S A 2024; 121:e2311077121. [PMID: 38470923 PMCID: PMC10962934 DOI: 10.1073/pnas.2311077121] [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: 06/30/2023] [Accepted: 01/29/2024] [Indexed: 03/14/2024] Open
Abstract
The memory benefit that arises from distributing learning over time rather than in consecutive sessions is one of the most robust effects in cognitive psychology. While prior work has mainly focused on repeated exposures to the same information, in the real world, mnemonic content is dynamic, with some pieces of information staying stable while others vary. Thus, open questions remain about the efficacy of the spacing effect in the face of variability in the mnemonic content. Here, in two experiments, we investigated the contributions of mnemonic variability and the timescale of spacing intervals, ranging from seconds to days, to long-term memory. For item memory, both mnemonic variability and spacing intervals were beneficial for memory; however, mnemonic variability was greater at shorter spacing intervals. In contrast, for associative memory, repetition rather than mnemonic variability was beneficial for memory, and spacing benefits only emerged in the absence of mnemonic variability. These results highlight a critical role for mnemonic variability and the timescale of spacing intervals in the spacing effect, bringing this classic memory paradigm into more ecologically valid contexts.
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Affiliation(s)
- Emily T. Cowan
- Department of Psychology & Neuroscience, Temple University, PhiladelphiaPA19122
| | - Yiwen Zhang
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA15260
| | | | - Vishnu P. Murty
- Department of Psychology & Neuroscience, Temple University, PhiladelphiaPA19122
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6
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Mack ML, Love BC, Preston AR. Distinct hippocampal mechanisms support concept formation and updating. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.14.580181. [PMID: 38405893 PMCID: PMC10888746 DOI: 10.1101/2024.02.14.580181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Learning systems must constantly decide whether to create new representations or update existing ones. For example, a child learning that a bat is a mammal and not a bird would be best served by creating a new representation, whereas updating may be best when encountering a second similar bat. Characterizing the neural dynamics that underlie these complementary memory operations requires identifying the exact moments when each operation occurs. We address this challenge by interrogating fMRI brain activation with a computational learning model that predicts trial-by-trial when memories are created versus updated. We found distinct neural engagement in anterior hippocampus and ventral striatum for model-predicted memory create and update events during early learning. Notably, the degree of this effect in hippocampus, but not ventral striatum, significantly related to learning outcome. Hippocampus additionally showed distinct patterns of functional coactivation with ventromedial prefrontal cortex and angular gyrus during memory creation and premotor cortex during memory updating. These findings suggest that complementary memory functions, as formalized in computational learning models, underlie the rapid formation of novel conceptual knowledge, with the hippocampus and its interactions with frontoparietal circuits playing a crucial role in successful learning. Significance statement How do we reconcile new experiences with existing knowledge? Prominent theories suggest that novel information is either captured by creating new memories or leveraged to update existing memories, yet empirical support of how these distinct memory operations unfold during learning is limited. Here, we combine computational modeling of human learning behaviour with functional neuroimaging to identify moments of memory formation and updating and characterize their neural signatures. We find that both hippocampus and ventral striatum are distinctly engaged when memories are created versus updated; however, it is only hippocampus activation that is associated with learning outcomes. Our findings motivate a key theoretical revision that positions hippocampus is a key player in building organized memories from the earliest moments of learning.
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7
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Sherman BE, Turk-Browne NB, Goldfarb EV. Multiple Memory Subsystems: Reconsidering Memory in the Mind and Brain. PERSPECTIVES ON PSYCHOLOGICAL SCIENCE 2024; 19:103-125. [PMID: 37390333 PMCID: PMC10756937 DOI: 10.1177/17456916231179146] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/02/2023]
Abstract
The multiple-memory-systems framework-that distinct types of memory are supported by distinct brain systems-has guided learning and memory research for decades. However, recent work challenges the one-to-one mapping between brain structures and memory types central to this taxonomy, with key memory-related structures supporting multiple functions across substructures. Here we integrate cross-species findings in the hippocampus, striatum, and amygdala to propose an updated framework of multiple memory subsystems (MMSS). We provide evidence for two organizational principles of the MMSS theory: First, opposing memory representations are colocated in the same brain structures; second, parallel memory representations are supported by distinct structures. We discuss why this burgeoning framework has the potential to provide a useful revision of classic theories of long-term memory, what evidence is needed to further validate the framework, and how this novel perspective on memory organization may guide future research.
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Affiliation(s)
| | | | - Elizabeth V Goldfarb
- Department of Psychology, Yale University
- Wu Tsai Institute, Yale University
- Department of Psychiatry, Yale University
- National Center for PTSD, West Haven, USA
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8
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Peng K, Wammes JD, Nguyen A, Cătălin Iordan M, Norman KA, Turk-Browne NB. INDUCING REPRESENTATIONAL CHANGE IN THE HIPPOCAMPUS THROUGH REAL-TIME NEUROFEEDBACK. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.01.569487. [PMID: 38106228 PMCID: PMC10723264 DOI: 10.1101/2023.12.01.569487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
When you perceive or remember one thing, other related things come to mind. This competition has consequences for how these items are later perceived, attended, or remembered. Such behavioral consequences result from changes in how much the neural representations of the items overlap, especially in the hippocampus. These changes can reflect increased (integration) or decreased (differentiation) overlap; previous studies have posited that the amount of coactivation between competing representations in cortex determines which will occur: high coactivation leads to hippocampal integration, medium coactivation leads to differentiation, and low coactivation is inert. However, those studies used indirect proxies for coactivation, by manipulating stimulus similarity or task demands. Here we induce coactivation of competing memories in visual cortex more directly using closed-loop neurofeedback from real-time fMRI. While viewing one object, participants were rewarded for implicitly activating the representation of another object as strongly as possible. Across multiple real-time fMRI training sessions, they succeeded in using the neurofeedback to induce coactivation. Compared with untrained objects, this coactivation led to behavioral and neural integration: The trained objects became harder for participants to discriminate in a categorical perception task and harder to decode from patterns of fMRI activity in the hippocampus.
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Affiliation(s)
- Kailong Peng
- Department of Psychology, Interdepartmental Neuroscience Program, Yale University
| | - Jeffrey D Wammes
- Department of Psychology, Centre for Neuroscience Studies, Queen's University
| | - Alex Nguyen
- Department of Psychology, Princeton Neuroscience Institute, Princeton University
| | - Marius Cătălin Iordan
- Department of Brain and Cognitive Sciences, Department of Neuroscience, University of Rochester
| | - Kenneth A Norman
- Department of Psychology, Princeton Neuroscience Institute, Princeton University
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9
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Favila SE, Aly M. Hippocampal mechanisms resolve competition in memory and perception. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.09.561548. [PMID: 37873400 PMCID: PMC10592663 DOI: 10.1101/2023.10.09.561548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Behaving adaptively requires selection of relevant memories and sensations and suppression of competing ones. We hypothesized that these mechanisms are linked, such that hippocampal computations that resolve competition in memory also shape the precision of sensory representations to guide selective attention. We leveraged f MRI-based pattern similarity, receptive field modeling, and eye tracking to test this hypothesis in humans performing a memory-dependent visual search task. In the hippocampus, differentiation of competing memories predicted the precision of memory-guided eye movements. In visual cortex, preparatory coding of remembered target locations predicted search successes, whereas preparatory coding of competing locations predicted search failures due to interference. These effects were linked: stronger hippocampal memory differentiation was associated with lower competitor activation in visual cortex, yielding more precise preparatory representations. These results demonstrate a role for memory differentiation in shaping the precision of sensory representations, highlighting links between mechanisms that overcome competition in memory and perception.
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Affiliation(s)
- Serra E Favila
- Department of Psychology, Columbia University, New York, NY, 10027
| | - Mariam Aly
- Department of Psychology, Columbia University, New York, NY, 10027
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10
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Sherman BE, Harris BB, Turk-Browne NB, Sinha R, Goldfarb EV. Hippocampal Mechanisms Support Cortisol-Induced Memory Enhancements. J Neurosci 2023; 43:7198-7212. [PMID: 37813570 PMCID: PMC10601369 DOI: 10.1523/jneurosci.0916-23.2023] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 09/05/2023] [Accepted: 09/09/2023] [Indexed: 10/17/2023] Open
Abstract
Stress can powerfully influence episodic memory, often enhancing memory encoding for emotionally salient information. These stress-induced memory enhancements stand at odds with demonstrations that stress and the stress-related hormone cortisol can negatively affect the hippocampus, a brain region important for episodic memory encoding. To resolve this apparent conflict and determine whether and how the hippocampus supports memory encoding under cortisol, we combined behavioral assays of associative memory, high-resolution fMRI, and pharmacological manipulation of cortisol in a within-participant, double-blinded procedure (in both sexes). Behaviorally, hydrocortisone promoted the encoding of subjectively arousing, positive associative memories. Neurally, hydrocortisone led to enhanced functional connectivity between hippocampal subregions, which predicted subsequent memory enhancements for emotional associations. Cortisol also modified the relationship between hippocampal representations and associative memory: whereas hippocampal signatures of distinctiveness predicted memory under placebo, relative integration predicted memory under cortisol. Together, these data provide novel evidence that the human hippocampus contains the necessary machinery to support emotional associative memory enhancements under cortisol.SIGNIFICANCE STATEMENT Our daily lives are filled with stressful events, which powerfully shape the way we form episodic memories. For example, stress and stress-related hormones can enhance our memory for emotional events. However, the mechanisms underlying these memory benefits are unclear. In the current study, we combined functional neuroimaging, behavioral tests of memory, and double-blind, placebo-controlled hydrocortisone administration to uncover the effects of the stress-related hormone cortisol on the function of the human hippocampus, a brain region important for episodic memory. We identified novel ways in which cortisol can enhance hippocampal function to promote emotional memories, highlighting the adaptive role of cortisol in shaping memory formation.
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Affiliation(s)
- Brynn E Sherman
- Department of Psychology, University of Pennsylvania, Philadelphia 19104
| | - Bailey B Harris
- Department of Psychology, UCLA, Los Angeles, California 90095
| | - Nicholas B Turk-Browne
- Department of Psychology, Yale University, New Haven, Connecticut 06520
- Wu Tsai Institute, Yale University, New Haven, Connecticut 06510
| | - Rajita Sinha
- Department of Psychiatry, Yale University, New Haven, Connecticut 06511
| | - Elizabeth V Goldfarb
- Department of Psychology, Yale University, New Haven, Connecticut 06520
- Wu Tsai Institute, Yale University, New Haven, Connecticut 06510
- Department of Psychiatry, Yale University, New Haven, Connecticut 06511
- National Center for PTSD, VA Connecticut Healthcare System, West Haven, Connecticut 06477
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11
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Bein O, Gasser C, Amer T, Maril A, Davachi L. Predictions transform memories: How expected versus unexpected events are integrated or separated in memory. Neurosci Biobehav Rev 2023; 153:105368. [PMID: 37619645 PMCID: PMC10591973 DOI: 10.1016/j.neubiorev.2023.105368] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 08/13/2023] [Accepted: 08/21/2023] [Indexed: 08/26/2023]
Abstract
Our brains constantly generate predictions about the environment based on prior knowledge. Many of the events we experience are consistent with these predictions, while others might be inconsistent with prior knowledge and thus violate our predictions. To guide future behavior, the memory system must be able to strengthen, transform, or add to existing knowledge based on the accuracy of our predictions. We synthesize recent evidence suggesting that when an event is consistent with our predictions, it leads to neural integration between related memories, which is associated with enhanced associative memory, as well as memory biases. Prediction errors, in turn, can promote both neural integration and separation, and lead to multiple mnemonic outcomes. We review these findings and how they interact with factors such as memory reactivation, prediction error strength, and task goals, to offer insight into what determines memory for events that violate our predictions. In doing so, this review brings together recent neural and behavioral research to advance our understanding of how predictions shape memory, and why.
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Affiliation(s)
- Oded Bein
- Princeton Neuroscience Institute, Princeton University, Princeton, NJ, United States.
| | - Camille Gasser
- Department of Psychology, Columbia University, New York, NY, United States.
| | - Tarek Amer
- Department of Psychology, University of Victoria, Victoria, Canada
| | - Anat Maril
- Department of Psychology, The Hebrew University of Jerusalem, Jerusalem, Israel; Department of Cognitive Science, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Lila Davachi
- Center for Clinical Research, The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States
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12
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Amer T, Davachi L. Extra-hippocampal contributions to pattern separation. eLife 2023; 12:e82250. [PMID: 36972123 PMCID: PMC10042541 DOI: 10.7554/elife.82250] [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: 07/29/2022] [Accepted: 03/21/2023] [Indexed: 03/29/2023] Open
Abstract
Pattern separation, or the process by which highly similar stimuli or experiences in memory are represented by non-overlapping neural ensembles, has typically been ascribed to processes supported by the hippocampus. Converging evidence from a wide range of studies, however, suggests that pattern separation is a multistage process supported by a network of brain regions. Based on this evidence, considered together with related findings from the interference resolution literature, we propose the 'cortico-hippocampal pattern separation' (CHiPS) framework, which asserts that brain regions involved in cognitive control play a significant role in pattern separation. Particularly, these regions may contribute to pattern separation by (1) resolving interference in sensory regions that project to the hippocampus, thus regulating its cortical input, or (2) directly modulating hippocampal processes in accordance with task demands. Considering recent interest in how hippocampal operations are modulated by goal states likely represented and regulated by extra-hippocampal regions, we argue that pattern separation is similarly supported by neocortical-hippocampal interactions.
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Affiliation(s)
- Tarek Amer
- Department of Psychology, University of VictoriaVictoriaCanada
| | - Lila Davachi
- Department of Psychology, Columbia UniversityNew YorkUnited States
- Nathan Kline Research InstituteOrangeburgUnited States
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13
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Zhou R, Belge T, Wolbers T. Reaching the Goal: Superior Navigators in Late Adulthood Provide a Novel Perspective into Successful Cognitive Aging. Top Cogn Sci 2023; 15:15-45. [PMID: 35582831 DOI: 10.1111/tops.12608] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 02/18/2022] [Accepted: 02/21/2022] [Indexed: 02/01/2023]
Abstract
Normal aging is typically associated with declines in navigation and spatial memory abilities. However, increased interindividual variability in performance across various navigation/spatial memory tasks is also evident with advancing age. In this review paper, we shed the spotlight on those older individuals who exhibit exceptional, sometimes even youth-like navigational/spatial memory abilities. Importantly, we (1) showcase observations from existing studies that demonstrate superior navigation/spatial memory performance in late adulthood, (2) explore possible cognitive correlates and neurophysiological mechanisms underlying these preserved spatial abilities, and (3) discuss the potential link between the superior navigators in late adulthood and SuperAgers (older adults with superior episodic memory). In the closing section, given the lack of studies that directly focus on this subpopulation, we highlight several important directions that future studies could look into to better understand the cognitive characteristics of older superior navigators and the factors enabling such successful cognitive aging.
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Affiliation(s)
- Ruojing Zhou
- Aging, Cognition and Technology Lab, German Center for Neurodegenerative Diseases
| | - Tuğçe Belge
- Aging, Cognition and Technology Lab, German Center for Neurodegenerative Diseases
| | - Thomas Wolbers
- Aging, Cognition and Technology Lab, German Center for Neurodegenerative Diseases.,Center for Behavioral Brain Sciences, Magdeburg
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14
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Guo B, Xia Y, Wang C, Wang F, Zhang C, Xiao L, Zhang X, Meng Y, Wang Y, Ding J, Wang L, Zhu C, Jiang S, Huo X, Sun Y, Gao P, Wu J, Yu B, Huo J, Sun T. Decreased cognitive function of ALG13KO female mice may be related to the decreased plasticity of hippocampal neurons. Neuropeptides 2022; 96:102290. [PMID: 36152356 DOI: 10.1016/j.npep.2022.102290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 08/15/2022] [Accepted: 09/13/2022] [Indexed: 02/05/2023]
Abstract
Asparagine-linked glycosylation 13 (ALG13) is an X-linked gene that encodes a protein involved in the glycosylation of the N-terminus. ALG13 deficiency leads to ALG13-congenital disorders of glycosylation (ALG13-CDG), usually in females presenting with mental retardation and epilepsy. Cognitive function is an important function of the hippocampus, and forms the basis for learning, memory and social abilities. However, researchers have not yet investigated the effect of ALG13 on hippocampal cognitive function. In this study, the exploration, learning, memory and social abilities of ALG13 knockout (KO) female mice were decreased in behavioral experiments. Golgi staining demonstrated a decrease in the complexity of hippocampal neurons. Western blot and immunofluorescence staining of the synaptic plasticity factors postsynaptic density protein 95 (PSD95) and synaptophysin (SYP) displayed varying degrees of decline. In other words, the KO of ALG13 may have reduced the expression of PSD95 and SYP in the hippocampus of female mice. Moreover, it may have lowered the synaptic plasticity in various areas of the hippocampus, thus resulting in decreased dendrite length, complexity, and dendrite spine density, which affected the hippocampal function and reduced the cognitive function in female mice.
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Affiliation(s)
- Baorui Guo
- Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, Ningxia 750004, China
| | - Yu Xia
- Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, Ningxia 750004, China
| | - Chunlin Wang
- Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, Ningxia 750004, China
| | - Feng Wang
- Department of Neurosurgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310000, China
| | - Chun Zhang
- Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, Ningxia 750004, China
| | - Lifei Xiao
- Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, Ningxia 750004, China
| | - Xian Zhang
- Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, Ningxia 750004, China
| | - Yuan Meng
- Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, Ningxia 750004, China
| | - Yangyang Wang
- Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, Ningxia 750004, China
| | - Jiangwei Ding
- Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, Ningxia 750004, China
| | - Lei Wang
- Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, Ningxia 750004, China
| | - Changliang Zhu
- Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, Ningxia 750004, China
| | - Shucai Jiang
- Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, Ningxia 750004, China
| | - Xianhao Huo
- Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, Ningxia 750004, China
| | - Yangyang Sun
- Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, Ningxia 750004, China
| | - Peng Gao
- Department of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, Ningxia 750004, China
| | - Ji Wu
- Renji Hospital Shanghai Jiaotong University School of Medicine, Key Laboratory for the Genetics of Developmental & Neuropsychiatric Disorders (Ministry of Education), Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Baoli Yu
- Renji Hospital Shanghai Jiaotong University School of Medicine, Key Laboratory for the Genetics of Developmental & Neuropsychiatric Disorders (Ministry of Education), Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Junming Huo
- Department of Neurosurgery, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia 014017, China
| | - Tao Sun
- Ningxia Key Laboratory of Cerebrocranial Disease, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, Ningxia 750004, China.
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15
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Xue G. From remembering to reconstruction: The transformative neural representation of episodic memory. Prog Neurobiol 2022; 219:102351. [PMID: 36089107 DOI: 10.1016/j.pneurobio.2022.102351] [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: 03/18/2022] [Revised: 08/23/2022] [Accepted: 09/05/2022] [Indexed: 11/29/2022]
Abstract
Although memory has long been recognized as a generative process, neural research of memory in recent decades has been predominantly influenced by Tulving's "mental time traveling" perspective and focused on the reactivation and consolidation of encoded memory representations. With the development of multiple powerful analytical approaches to characterize the contents and formats of neural representations, recent studies are able to provide detailed examinations of the representations at various processing stages and have provided exciting new insights into the transformative nature of episodic memory. These studies have revealed the rapid, substantial, and continuous transformation of memory representation during the encoding, maintenance, consolidation, and retrieval of both single and multiple events, as well as event sequences. These transformations are characterized by the abstraction, integration, differentiation, and reorganization of memory representations, enabling the long-term retention and generalization of memory. These studies mark a significant shift in perspective from remembering to reconstruction, which might better reveal the nature of memory and its roles in supporting more effective learning, adaptive decision-making, and creative problem solving.
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Affiliation(s)
- Gui Xue
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, PR China; Chinese Institute for Brain Research, Beijing 102206, PR China.
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16
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Robertson EM. Memory leaks: information shared across memory systems. Trends Cogn Sci 2022; 26:544-554. [DOI: 10.1016/j.tics.2022.03.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 03/25/2022] [Accepted: 03/25/2022] [Indexed: 10/18/2022]
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17
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Anastasio TJ. Deriving testable hypotheses through an analogy between individual and collective memory. PROGRESS IN BRAIN RESEARCH 2022; 274:99-128. [DOI: 10.1016/bs.pbr.2022.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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18
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Zheng L, Gao Z, McAvan AS, Isham EA, Ekstrom AD. Partially overlapping spatial environments trigger reinstatement in hippocampus and schema representations in prefrontal cortex. Nat Commun 2021; 12:6231. [PMID: 34711830 PMCID: PMC8553856 DOI: 10.1038/s41467-021-26560-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Accepted: 10/11/2021] [Indexed: 01/17/2023] Open
Abstract
When we remember a city that we have visited, we retrieve places related to finding our goal but also non-target locations within this environment. Yet, understanding how the human brain implements the neural computations underlying holistic retrieval remains unsolved, particularly for shared aspects of environments. Here, human participants learned and retrieved details from three partially overlapping environments while undergoing high-resolution functional magnetic resonance imaging (fMRI). Our findings show reinstatement of stores even when they are not related to a specific trial probe, providing evidence for holistic environmental retrieval. For stores shared between cities, we find evidence for pattern separation (representational orthogonalization) in hippocampal subfield CA2/3/DG and repulsion in CA1 (differentiation beyond orthogonalization). Additionally, our findings demonstrate that medial prefrontal cortex (mPFC) stores representations of the common spatial structure, termed schema, across environments. Together, our findings suggest how unique and common elements of multiple spatial environments are accessed computationally and neurally.
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Affiliation(s)
- Li Zheng
- grid.134563.60000 0001 2168 186XDepartment of Psychology, University of Arizona, 1503 E. University Blvd., Tucson, AZ 85721 USA ,grid.134563.60000 0001 2168 186XEvelyn McKnight Brain Institute, University of Arizona, 1503 E. University Blvd., Tucson, AZ 85721 USA
| | - Zhiyao Gao
- grid.5685.e0000 0004 1936 9668Department of Psychology, University of York, Heslington, York YO10 5DD UK
| | - Andrew S. McAvan
- grid.134563.60000 0001 2168 186XDepartment of Psychology, University of Arizona, 1503 E. University Blvd., Tucson, AZ 85721 USA ,grid.134563.60000 0001 2168 186XEvelyn McKnight Brain Institute, University of Arizona, 1503 E. University Blvd., Tucson, AZ 85721 USA
| | - Eve A. Isham
- grid.134563.60000 0001 2168 186XDepartment of Psychology, University of Arizona, 1503 E. University Blvd., Tucson, AZ 85721 USA ,grid.134563.60000 0001 2168 186XEvelyn McKnight Brain Institute, University of Arizona, 1503 E. University Blvd., Tucson, AZ 85721 USA
| | - Arne D. Ekstrom
- grid.134563.60000 0001 2168 186XDepartment of Psychology, University of Arizona, 1503 E. University Blvd., Tucson, AZ 85721 USA ,grid.134563.60000 0001 2168 186XEvelyn McKnight Brain Institute, University of Arizona, 1503 E. University Blvd., Tucson, AZ 85721 USA
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