1
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Cooper SE, Hennings AC, Bibb SA, Lewis-Peacock JA, Dunsmoor JE. Semantic structures facilitate threat memory integration throughout the medial temporal lobe and medial prefrontal cortex. Curr Biol 2024:S0960-9822(24)00855-8. [PMID: 39059393 DOI: 10.1016/j.cub.2024.06.071] [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: 03/27/2024] [Revised: 05/20/2024] [Accepted: 06/26/2024] [Indexed: 07/28/2024]
Abstract
Emotional experiences can profoundly impact our conceptual model of the world, modifying how we represent and remember a host of information even indirectly associated with that experienced in the past. Yet, how a new emotional experience infiltrates and spreads across pre-existing semantic knowledge structures (e.g., categories) is unknown. We used a modified aversive sensory preconditioning paradigm in fMRI (n = 35) to investigate whether threat memories integrate with a pre-established category to alter the representation of the entire category. We observed selective but transient changes in the representation of conceptually related items in the amygdala, medial prefrontal cortex, and occipitotemporal cortex following threat conditioning to a simple cue (geometric shape) pre-associated with a different, but related, set of category exemplars. These representational changes persisted beyond 24 h in the hippocampus and perirhinal cortex. Reactivation of the semantic category during threat conditioning, combined with activation of the hippocampus or medial prefrontal cortex, was predictive of subsequent amygdala reactivity toward novel category members at test. This provides evidence for online integration of emotional experiences into semantic categories, which then promotes threat generalization. Behaviorally, threat conditioning by proxy selectively and retroactively enhanced recognition memory and increased the perceived typicality of the semantic category indirectly associated with threat. These findings detail a complex route through which new emotional learning generalizes by modifying semantic structures built up over time and stored in memory as conceptual knowledge.
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Affiliation(s)
- Samuel E Cooper
- Department of Psychiatry and Behavioral Sciences, University of Texas at Austin, Austin, TX, USA.
| | | | - Sophia A Bibb
- Neuroscience Graduate Program, Ohio State University, Columbus, OH, USA
| | - Jarrod A Lewis-Peacock
- Department of Psychiatry and Behavioral Sciences, University of Texas at Austin, Austin, TX, USA; Department of Psychology, University of Texas at Austin, Austin, TX, USA; Center for Learning and Memory, University of Texas at Austin, Austin, TX, USA; Department of Neuroscience, University of Texas at Austin, Austin, TX, USA
| | - Joseph E Dunsmoor
- Department of Psychiatry and Behavioral Sciences, University of Texas at Austin, Austin, TX, USA; Center for Learning and Memory, University of Texas at Austin, Austin, TX, USA; Department of Neuroscience, University of Texas at Austin, Austin, TX, USA.
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2
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Contier O, Baker CI, Hebart MN. Distributed representations of behavior-derived object dimensions in the human visual system. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.08.23.553812. [PMID: 37662312 PMCID: PMC10473665 DOI: 10.1101/2023.08.23.553812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Object vision is commonly thought to involve a hierarchy of brain regions processing increasingly complex image features, with high-level visual cortex supporting object recognition and categorization. However, object vision supports diverse behavioral goals, suggesting basic limitations of this category-centric framework. To address these limitations, we mapped a series of dimensions derived from a large-scale analysis of human similarity judgments directly onto the brain. Our results reveal broadly distributed representations of behaviorally-relevant information, demonstrating selectivity to a wide variety of novel dimensions while capturing known selectivities for visual features and categories. Behavior-derived dimensions were superior to categories at predicting brain responses, yielding mixed selectivity in much of visual cortex and sparse selectivity in category-selective clusters. This framework reconciles seemingly disparate findings regarding regional specialization, explaining category selectivity as a special case of sparse response profiles among representational dimensions, suggesting a more expansive view on visual processing in the human brain.
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Affiliation(s)
- O Contier
- Vision and Computational Cognition Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Max Planck School of Cognition, Leipzig, Germany
| | - C I Baker
- Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda MD, USA
| | - M N Hebart
- Vision and Computational Cognition Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Department of Medicine, Justus Liebig University Giessen, Giessen, Germany
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3
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Alcalá-López D, Mei N, Margolles P, Soto D. Brain-wide representation of social knowledge. Soc Cogn Affect Neurosci 2024; 19:nsae032. [PMID: 38804694 PMCID: PMC11173195 DOI: 10.1093/scan/nsae032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 02/28/2024] [Accepted: 05/30/2024] [Indexed: 05/29/2024] Open
Abstract
Understanding how the human brain maps different dimensions of social conceptualizations remains a key unresolved issue. We performed a functional magnetic resonance imaging (MRI) study in which participants were exposed to audio definitions of personality traits and asked to simulate experiences associated with the concepts. Half of the concepts were affective (e.g. empathetic), and the other half were non-affective (e.g. intelligent). Orthogonally, half of the concepts were highly likable (e.g. sincere) and half were socially undesirable (e.g. liar). Behaviourally, we observed that the dimension of social desirability reflected the participant's subjective ratings better than affect. FMRI decoding results showed that both social desirability and affect could be decoded in local patterns of activity through distributed brain regions including the superior temporal, inferior frontal, precuneus and key nodes of the default mode network in posterior/anterior cingulate and ventromedial prefrontal cortex. Decoding accuracy was better for social desirability than affect. A representational similarity analysis further demonstrated that a deep language model significantly predicted brain activity associated with the concepts in bilateral regions of superior and anterior temporal lobes. The results demonstrate a brain-wide representation of social knowledge, involving default model network systems that support the multimodal simulation of social experience, with a further reliance on language-related preprocessing.
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Affiliation(s)
- Daniel Alcalá-López
- Consciousness group, Basque Center on Cognition, Brain and Language, San Sebastian 20009, Spain
| | - Ning Mei
- Psychology Department, Shenzhen University, Nanshan district, Guangdong province 3688, China
| | - Pedro Margolles
- Consciousness group, Basque Center on Cognition, Brain and Language, San Sebastian 20009, Spain
| | - David Soto
- Consciousness group, Basque Center on Cognition, Brain and Language, San Sebastian 20009, Spain
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4
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Huang C, Li A, Pang Y, Yang J, Zhang J, Wu X, Mei L. How the intrinsic functional connectivity patterns of the semantic network support semantic processing. Brain Imaging Behav 2024; 18:539-554. [PMID: 38261218 DOI: 10.1007/s11682-024-00849-y] [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] [Accepted: 01/05/2024] [Indexed: 01/24/2024]
Abstract
Semantic processing, a core of language comprehension, involves the activation of brain regions dispersed extensively across the frontal, temporal, and parietal cortices that compose the semantic network. To comprehend the functional structure of this semantic network and how it prepares for semantic processing, we investigated its intrinsic functional connectivity (FC) and the relation between this pattern and semantic processing ability in a large sample from the Human Connectome Project (HCP) dataset. We first defined a well-studied brain network for semantic processing, and then we characterized the within-network connectivity (WNC) and the between-network connectivity (BNC) within this network using a voxel-based global brain connectivity (GBC) method based on resting-state functional magnetic resonance imaging (fMRI). The results showed that 97.73% of the voxels in the semantic network displayed considerably greater WNC than BNC, demonstrating that the semantic network is a fairly encapsulated network. Moreover, multiple connector hubs in the semantic network were identified after applying the criterion of WNC > 1 SD above the mean WNC of the semantic network. More importantly, three of these connector hubs (i.e., the left anterior temporal lobe, angular gyrus, and orbital part of the inferior frontal gyrus) were reliably associated with semantic processing ability. Our findings suggest that the three identified regions use WNC as the central mechanism for supporting semantic processing and that task-independent spontaneous connectivity in the semantic network is essential for semantic processing.
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Affiliation(s)
- Chengmei Huang
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, 510631, China
- School of Psychology, South China Normal University, Guangzhou, 510631, China
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China
| | - Aqian Li
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, 510631, China
- School of Psychology, South China Normal University, Guangzhou, 510631, China
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China
| | - Yingdan Pang
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, 510631, China
- School of Psychology, South China Normal University, Guangzhou, 510631, China
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China
| | - Jiayi Yang
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, 510631, China
- School of Psychology, South China Normal University, Guangzhou, 510631, China
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China
| | - Jingxian Zhang
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, 510631, China
- School of Psychology, South China Normal University, Guangzhou, 510631, China
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China
| | - Xiaoyan Wu
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, 510631, China
- School of Psychology, South China Normal University, Guangzhou, 510631, China
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China
| | - Leilei Mei
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, 510631, China.
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5
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Li AY, Ladyka-Wojcik N, Qazilbash H, Golestani A, Walther DB, Martin CB, Barense MD. Experience transforms crossmodal object representations in the anterior temporal lobes. eLife 2024; 13:e83382. [PMID: 38647143 PMCID: PMC11081630 DOI: 10.7554/elife.83382] [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: 09/09/2022] [Accepted: 04/19/2024] [Indexed: 04/25/2024] Open
Abstract
Combining information from multiple senses is essential to object recognition, core to the ability to learn concepts, make new inferences, and generalize across distinct entities. Yet how the mind combines sensory input into coherent crossmodal representations - the crossmodal binding problem - remains poorly understood. Here, we applied multi-echo fMRI across a 4-day paradigm, in which participants learned three-dimensional crossmodal representations created from well-characterized unimodal visual shape and sound features. Our novel paradigm decoupled the learned crossmodal object representations from their baseline unimodal shapes and sounds, thus allowing us to track the emergence of crossmodal object representations as they were learned by healthy adults. Critically, we found that two anterior temporal lobe structures - temporal pole and perirhinal cortex - differentiated learned from non-learned crossmodal objects, even when controlling for the unimodal features that composed those objects. These results provide evidence for integrated crossmodal object representations in the anterior temporal lobes that were different from the representations for the unimodal features. Furthermore, we found that perirhinal cortex representations were by default biased toward visual shape, but this initial visual bias was attenuated by crossmodal learning. Thus, crossmodal learning transformed perirhinal representations such that they were no longer predominantly grounded in the visual modality, which may be a mechanism by which object concepts gain their abstraction.
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Affiliation(s)
- Aedan Yue Li
- Department of Psychology, University of TorontoTorontoCanada
| | | | - Heba Qazilbash
- Department of Psychology, University of TorontoTorontoCanada
| | - Ali Golestani
- Department of Physics and Astronomy, University of CalgaryCalgaryCanada
| | - Dirk B Walther
- Department of Psychology, University of TorontoTorontoCanada
- Rotman Research Institute, Baycrest Health SciencesNorth YorkCanada
| | - Chris B Martin
- Department of Psychology, Florida State UniversityTallahasseeUnited States
| | - Morgan D Barense
- Department of Psychology, University of TorontoTorontoCanada
- Rotman Research Institute, Baycrest Health SciencesNorth YorkCanada
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6
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Heinen R, Bierbrauer A, Wolf OT, Axmacher N. Representational formats of human memory traces. Brain Struct Funct 2024; 229:513-529. [PMID: 37022435 PMCID: PMC10978732 DOI: 10.1007/s00429-023-02636-9] [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: 12/06/2022] [Accepted: 03/28/2023] [Indexed: 04/07/2023]
Abstract
Neural representations are internal brain states that constitute the brain's model of the external world or some of its features. In the presence of sensory input, a representation may reflect various properties of this input. When perceptual information is no longer available, the brain can still activate representations of previously experienced episodes due to the formation of memory traces. In this review, we aim at characterizing the nature of neural memory representations and how they can be assessed with cognitive neuroscience methods, mainly focusing on neuroimaging. We discuss how multivariate analysis techniques such as representational similarity analysis (RSA) and deep neural networks (DNNs) can be leveraged to gain insights into the structure of neural representations and their different representational formats. We provide several examples of recent studies which demonstrate that we are able to not only measure memory representations using RSA but are also able to investigate their multiple formats using DNNs. We demonstrate that in addition to slow generalization during consolidation, memory representations are subject to semantization already during short-term memory, by revealing a shift from visual to semantic format. In addition to perceptual and conceptual formats, we describe the impact of affective evaluations as an additional dimension of episodic memories. Overall, these studies illustrate how the analysis of neural representations may help us gain a deeper understanding of the nature of human memory.
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Affiliation(s)
- Rebekka Heinen
- Department of Neuropsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, Universitätsstraße 150, 44801, Bochum, Germany.
| | - Anne Bierbrauer
- Department of Neuropsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, Universitätsstraße 150, 44801, Bochum, Germany
- Institute for Systems Neuroscience, Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251, Hamburg, Germany
| | - Oliver T Wolf
- Department of Cognitive Psychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, Universitätsstraße 150, 44801, Bochum, Germany
| | - Nikolai Axmacher
- Department of Neuropsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, Universitätsstraße 150, 44801, Bochum, Germany
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7
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Luo X, Li M, Zeng J, Dai Z, Cui Z, Zhu M, Tian M, Wu J, Han Z. Mechanisms underlying category learning in the human ventral occipito-temporal cortex. Neuroimage 2024; 287:120520. [PMID: 38242489 DOI: 10.1016/j.neuroimage.2024.120520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 01/07/2024] [Accepted: 01/17/2024] [Indexed: 01/21/2024] Open
Abstract
The human ventral occipito-temporal cortex (VOTC) has evolved into specialized regions that process specific categories, such as words, tools, and animals. The formation of these areas is driven by bottom-up visual and top-down nonvisual experiences. However, the specific mechanisms through which top-down nonvisual experiences modulate category-specific regions in the VOTC are still unknown. To address this question, we conducted a study in which participants were trained for approximately 13 h to associate three sets of novel meaningless figures with different top-down nonvisual features: the wordlike category with word features, the non-wordlike category with nonword features, and the visual familiarity condition with no nonvisual features. Pre- and post-training functional MRI (fMRI) experiments were used to measure brain activity during stimulus presentation. Our results revealed that training induced a categorical preference for the two training categories within the VOTC. Moreover, the locations of two training category-specific regions exhibited a notable overlap. Remarkably, within the overlapping category-specific region, training resulted in a dissociation in activation intensity and pattern between the two training categories. These findings provide important insights into how different nonvisual categorical information is encoded in the human VOTC.
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Affiliation(s)
- Xiangqi Luo
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, PR China
| | - Mingyang Li
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, PR China
| | - Jiahong Zeng
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, PR China
| | - Zhiyun Dai
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, PR China
| | - Zhenjiang Cui
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, PR China
| | - Minhong Zhu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, PR China
| | - Mengxin Tian
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, PR China
| | - Jiahao Wu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, PR China
| | - Zaizhu Han
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, PR China.
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8
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Noguchi Y. Harmonic memory signals in the human cerebral cortex induced by semantic relatedness of words. NPJ SCIENCE OF LEARNING 2024; 9:6. [PMID: 38355685 PMCID: PMC10866900 DOI: 10.1038/s41539-024-00221-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 02/05/2024] [Indexed: 02/16/2024]
Abstract
When we memorize multiple words simultaneously, semantic relatedness among those words assists memory. For example, the information about "apple", "banana," and "orange" will be connected via a common concept of "fruits" and become easy to retain and recall. Neural mechanisms underlying this semantic integration in verbal working memory remain unclear. Here I used electroencephalography (EEG) and investigated neural signals when healthy human participants memorized five nouns semantically related (Sem trial) or not (NonSem trial). The regularity of oscillatory signals (8-30 Hz) during the retention period was found to be lower in NonSem than Sem trials, indicating that memorizing words unrelated to each other induced a non-harmonic (irregular) waveform in the temporal cortex. These results suggest that (i) semantic features of a word are retained as a set of neural oscillations at specific frequencies and (ii) memorizing words sharing a common semantic feature produces harmonic brain responses through a resonance or integration (sharing) of the oscillatory signals.
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Affiliation(s)
- Yasuki Noguchi
- Department of Psychology, Graduate School of Humanities, Kobe University, 1-1 Rokkodai-cho, Nada, Kobe, 657-8501, Japan.
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9
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Shoham A, Grosbard ID, Patashnik O, Cohen-Or D, Yovel G. Using deep neural networks to disentangle visual and semantic information in human perception and memory. Nat Hum Behav 2024:10.1038/s41562-024-01816-9. [PMID: 38332339 DOI: 10.1038/s41562-024-01816-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 12/22/2023] [Indexed: 02/10/2024]
Abstract
Mental representations of familiar categories are composed of visual and semantic information. Disentangling the contributions of visual and semantic information in humans is challenging because they are intermixed in mental representations. Deep neural networks that are trained either on images or on text or by pairing images and text enable us now to disentangle human mental representations into their visual, visual-semantic and semantic components. Here we used these deep neural networks to uncover the content of human mental representations of familiar faces and objects when they are viewed or recalled from memory. The results show a larger visual than semantic contribution when images are viewed and a reversed pattern when they are recalled. We further reveal a previously unknown unique contribution of an integrated visual-semantic representation in both perception and memory. We propose a new framework in which visual and semantic information contribute independently and interactively to mental representations in perception and memory.
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Affiliation(s)
- Adva Shoham
- School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel.
| | - Idan Daniel Grosbard
- School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
- The Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel
| | - Or Patashnik
- The Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel
| | - Daniel Cohen-Or
- The Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel
| | - Galit Yovel
- School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel.
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
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10
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Liuzzi AG, Meersmans K, Peeters R, De Deyne S, Dupont P, Vandenberghe R. Semantic representations in inferior frontal and lateral temporal cortex during picture naming, reading, and repetition. Hum Brain Mapp 2024; 45:e26603. [PMID: 38339900 PMCID: PMC10836176 DOI: 10.1002/hbm.26603] [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: 06/06/2023] [Revised: 12/12/2023] [Accepted: 01/09/2024] [Indexed: 02/12/2024] Open
Abstract
Reading, naming, and repetition are classical neuropsychological tasks widely used in the clinic and psycholinguistic research. While reading and repetition can be accomplished by following a direct or an indirect route, pictures can be named only by means of semantic mediation. By means of fMRI multivariate pattern analysis, we evaluated whether this well-established fundamental difference at the cognitive level is associated at the brain level with a difference in the degree to which semantic representations are activated during these tasks. Semantic similarity between words was estimated based on a word association model. Twenty subjects participated in an event-related fMRI study where the three tasks were presented in pseudo-random order. Linear discriminant analysis of fMRI patterns identified a set of regions that allow to discriminate between words at a high level of word-specificity across tasks. Representational similarity analysis was used to determine whether semantic similarity was represented in these regions and whether this depended on the task performed. The similarity between neural patterns of the left Brodmann area 45 (BA45) and of the superior portion of the left supramarginal gyrus correlated with the similarity in meaning between entities during picture naming. In both regions, no significant effects were seen for repetition or reading. The semantic similarity effect during picture naming was significantly larger than the similarity effect during the two other tasks. In contrast, several regions including left anterior superior temporal gyrus and left ventral BA44/frontal operculum, among others, coded for semantic similarity in a task-independent manner. These findings provide new evidence for the dynamic, task-dependent nature of semantic representations in the left BA45 and a more task-independent nature of the representational activation in the lateral temporal cortex and ventral BA44/frontal operculum.
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Affiliation(s)
- Antonietta Gabriella Liuzzi
- Laboratory for Cognitive Neurology, Department of NeurosciencesLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Karen Meersmans
- Laboratory for Cognitive Neurology, Department of NeurosciencesLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Ronald Peeters
- Radiology DepartmentUniversity Hospitals LeuvenLeuvenBelgium
| | - Simon De Deyne
- School of Psychological SciencesUniversity of MelbourneMelbourneAustralia
| | - Patrick Dupont
- Laboratory for Cognitive Neurology, Department of NeurosciencesLeuven Brain Institute, KU LeuvenLeuvenBelgium
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of NeurosciencesLeuven Brain Institute, KU LeuvenLeuvenBelgium
- Neurology DepartmentUniversity Hospitals LeuvenLeuvenBelgium
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11
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Zheng XY, Hebart MN, Grill F, Dolan RJ, Doeller CF, Cools R, Garvert MM. Parallel cognitive maps for multiple knowledge structures in the hippocampal formation. Cereb Cortex 2024; 34:bhad485. [PMID: 38204296 PMCID: PMC10839836 DOI: 10.1093/cercor/bhad485] [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: 07/28/2023] [Revised: 11/27/2023] [Accepted: 11/30/2023] [Indexed: 01/12/2024] Open
Abstract
The hippocampal-entorhinal system uses cognitive maps to represent spatial knowledge and other types of relational information. However, objects can often be characterized by different types of relations simultaneously. How does the hippocampal formation handle the embedding of stimuli in multiple relational structures that differ vastly in their mode and timescale of acquisition? Does the hippocampal formation integrate different stimulus dimensions into one conjunctive map or is each dimension represented in a parallel map? Here, we reanalyzed human functional magnetic resonance imaging data from Garvert et al. (2017) that had previously revealed a map in the hippocampal formation coding for a newly learnt transition structure. Using functional magnetic resonance imaging adaptation analysis, we found that the degree of representational similarity in the bilateral hippocampus also decreased as a function of the semantic distance between presented objects. Importantly, while both map-like structures localized to the hippocampal formation, the semantic map was located in more posterior regions of the hippocampal formation than the transition structure and thus anatomically distinct. This finding supports the idea that the hippocampal-entorhinal system forms parallel cognitive maps that reflect the embedding of objects in diverse relational structures.
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Affiliation(s)
- Xiaochen Y Zheng
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 EN, Nijmegen, the Netherlands
| | - Martin N Hebart
- Max-Planck-Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany
- Department of Medicine, Justus Liebig University, 35390, Giessen, Germany
| | - Filip Grill
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 EN, Nijmegen, the Netherlands
- Radboud University Medical Center, Department of Neurology, 6525 GA, Nijmegen, the Netherlands
| | - Raymond J Dolan
- Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3AR, United Kingdom
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, University College London, London WC1B 5EH, United Kingdom
| | - Christian F Doeller
- Max-Planck-Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany
- Kavli Institute for Systems Neuroscience, Centre for Neural Computation, The Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits, Jebsen Centre for Alzheimer's Disease, NTNU, 7491, Trondheim, Norway
- Wilhelm Wundt Institute of Psychology, Leipzig University, 04109, Leipzig, Germany
| | - Roshan Cools
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 EN, Nijmegen, the Netherlands
- Radboud University Medical Center, Department of Psychiatry, 6525 GA, Nijmegen, the Netherlands
| | - Mona M Garvert
- Max-Planck-Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany
- Max Planck Research Group NeuroCode, Max Planck Institute for Human Development, 14195, Berlin, Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
- Faculty of Human Sciences, Julius-Maximilians-Universität Würzburg, Würzburg, Germany
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12
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Zhang Y, Wu W, Mirman D, Hoffman P. Representation of event and object concepts in ventral anterior temporal lobe and angular gyrus. Cereb Cortex 2024; 34:bhad519. [PMID: 38185997 PMCID: PMC10839851 DOI: 10.1093/cercor/bhad519] [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: 10/13/2023] [Revised: 12/07/2023] [Accepted: 12/08/2023] [Indexed: 01/09/2024] Open
Abstract
Semantic knowledge includes understanding of objects and their features and also understanding of the characteristics of events. The hub-and-spoke theory holds that these conceptual representations rely on multiple information sources that are integrated in a central hub in the ventral anterior temporal lobes. The dual-hub theory expands this framework with the claim that the ventral anterior temporal lobe hub is specialized for object representation, while a second hub in angular gyrus is specialized for event representation. To test these ideas, we used representational similarity analysis, univariate and psychophysiological interaction analyses of fMRI data collected while participants processed object and event concepts (e.g. "an apple," "a wedding") presented as images and written words. Representational similarity analysis showed that angular gyrus encoded event concept similarity more than object similarity, although the left angular gyrus also encoded object similarity. Bilateral ventral anterior temporal lobes encoded both object and event concept structure, and left ventral anterior temporal lobe exhibited stronger coding for events. Psychophysiological interaction analysis revealed greater connectivity between left ventral anterior temporal lobe and right pMTG, and between right angular gyrus and bilateral ITG and middle occipital gyrus, for event concepts compared to object concepts. These findings support the specialization of angular gyrus for event semantics, though with some involvement in object coding, but do not support ventral anterior temporal lobe specialization for object concepts.
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Affiliation(s)
- Yueyang Zhang
- School of Philosophy, Psychology & Language Sciences, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
| | - Wei Wu
- School of Philosophy, Psychology & Language Sciences, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
| | - Daniel Mirman
- School of Philosophy, Psychology & Language Sciences, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
| | - Paul Hoffman
- School of Philosophy, Psychology & Language Sciences, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
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13
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Worden BL, Tolin DF, Stevens MC. An exploration of neural predictors of treatment compliance in cognitive-behavioral group therapy for hoarding disorder. J Affect Disord 2024; 345:410-418. [PMID: 38706461 PMCID: PMC11068362 DOI: 10.1016/j.jad.2023.10.148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
A persistent and influential barrier to effective cognitive-behavioral therapy (CBT) for patients with hoarding disorder (HD) is treatment retention and compliance. Recent research has suggested that HD patients have abnormal brain activity identified by functional magnetic resonance (fMRI) in regions often engaged for executive functioning (e.g., right superior frontal gyrus, anterior insula, and anterior cingulate), which raises questions about whether these abnormalities could relate to patients' ability to attend, understand, and engage in HD treatment. We examined data from 74 HD-diagnosed adults who completed fMRI-measured brain activity during a discarding task designed to elicit symptom-related brain dysfunction, exploring which regions' activity might predict treatment compliance variables, including treatment engagement (within-session compliance), homework completion (between-session compliance), and treatment attendance. Brain activity that was significantly related to within- and between-session compliance was found largely in insula, parietal, and premotor areas. No brain regions were associated with treatment attendance. The results add to findings from prior research that have found prefrontal, cingulate, and insula activity abnormalities in HD by suggesting that some aspects of HD brain dysfunction might play a role in preventing the engagement needed for therapeutic benefit.
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Affiliation(s)
| | - David F Tolin
- Institute of Living/ Hartford Hospital, Hartford, CT
- Yale University School of Medicine, New Haven, CT
| | - Michael C Stevens
- Institute of Living/ Hartford Hospital, Hartford, CT
- Yale University School of Medicine, New Haven, CT
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14
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Huang S, Howard CM, Hovhannisyan M, Ritchey M, Cabeza R, Davis SW. Hippocampal Functions Modulate Transfer-Appropriate Cortical Representations Supporting Subsequent Memory. J Neurosci 2024; 44:e1135232023. [PMID: 38050089 PMCID: PMC10851689 DOI: 10.1523/jneurosci.1135-23.2023] [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: 06/19/2023] [Revised: 09/12/2023] [Accepted: 10/14/2023] [Indexed: 12/06/2023] Open
Abstract
The hippocampus plays a central role as a coordinate system or index of information stored in neocortical loci. Nonetheless, it remains unclear how hippocampal processes integrate with cortical information to facilitate successful memory encoding. Thus, the goal of the current study was to identify specific hippocampal-cortical interactions that support object encoding. We collected fMRI data while 19 human participants (7 female and 12 male) encoded images of real-world objects and tested their memory for object concepts and image exemplars (i.e., conceptual and perceptual memory). Representational similarity analysis revealed robust representations of visual and semantic information in canonical visual (e.g., occipital cortex) and semantic (e.g., angular gyrus) regions in the cortex, but not in the hippocampus. Critically, hippocampal functions modulated the mnemonic impact of cortical representations that are most pertinent to future memory demands, or transfer-appropriate representations Subsequent perceptual memory was best predicted by the strength of visual representations in ventromedial occipital cortex in coordination with hippocampal activity and pattern information during encoding. In parallel, subsequent conceptual memory was best predicted by the strength of semantic representations in left inferior frontal gyrus and angular gyrus in coordination with either hippocampal activity or semantic representational strength during encoding. We found no evidence for transfer-incongruent hippocampal-cortical interactions supporting subsequent memory (i.e., no hippocampal interactions with cortical visual/semantic representations supported conceptual/perceptual memory). Collectively, these results suggest that diverse hippocampal functions flexibly modulate cortical representations of object properties to satisfy distinct future memory demands.Significance Statement The hippocampus is theorized to index pieces of information stored throughout the cortex to support episodic memory. Yet how hippocampal processes integrate with cortical representation of stimulus information remains unclear. Using fMRI, we examined various forms of hippocampal-cortical interactions during object encoding in relation to subsequent performance on conceptual and perceptual memory tests. Our results revealed novel hippocampal-cortical interactions that utilize semantic and visual representations in transfer-appropriate manners: conceptual memory supported by hippocampal modulation of frontoparietal semantic representations, and perceptual memory supported by hippocampal modulation of occipital visual representations. These findings provide important insights into the neural mechanisms underlying the formation of information-rich episodic memory and underscore the value of studying the flexible interplay between brain regions for complex cognition.
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Affiliation(s)
- Shenyang Huang
- Department of Psychology & Neuroscience, Duke University, Durham 27708, North Carolina
| | - Cortney M Howard
- Department of Psychology & Neuroscience, Duke University, Durham 27708, North Carolina
| | | | - Maureen Ritchey
- Department of Psychology, Boston College, 02467 Massachusetts
| | - Roberto Cabeza
- Department of Psychology & Neuroscience, Duke University, Durham 27708, North Carolina
| | - Simon W Davis
- Department of Psychology & Neuroscience, Duke University, Durham 27708, North Carolina
- Department of Neurology, Duke University School of Medicine, Durham 27708, North Carolina
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15
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von Seth J, Nicholls VI, Tyler LK, Clarke A. Recurrent connectivity supports higher-level visual and semantic object representations in the brain. Commun Biol 2023; 6:1207. [PMID: 38012301 PMCID: PMC10682037 DOI: 10.1038/s42003-023-05565-9] [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: 03/21/2023] [Accepted: 11/09/2023] [Indexed: 11/29/2023] Open
Abstract
Visual object recognition has been traditionally conceptualised as a predominantly feedforward process through the ventral visual pathway. While feedforward artificial neural networks (ANNs) can achieve human-level classification on some image-labelling tasks, it's unclear whether computational models of vision alone can accurately capture the evolving spatiotemporal neural dynamics. Here, we probe these dynamics using a combination of representational similarity and connectivity analyses of fMRI and MEG data recorded during the recognition of familiar, unambiguous objects. Modelling the visual and semantic properties of our stimuli using an artificial neural network as well as a semantic feature model, we find that unique aspects of the neural architecture and connectivity dynamics relate to visual and semantic object properties. Critically, we show that recurrent processing between the anterior and posterior ventral temporal cortex relates to higher-level visual properties prior to semantic object properties, in addition to semantic-related feedback from the frontal lobe to the ventral temporal lobe between 250 and 500 ms after stimulus onset. These results demonstrate the distinct contributions made by semantic object properties in explaining neural activity and connectivity, highlighting it as a core part of object recognition not fully accounted for by current biologically inspired neural networks.
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Affiliation(s)
- Jacqueline von Seth
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | | | - Lorraine K Tyler
- Department of Psychology, University of Cambridge, Cambridge, UK
- Cambridge Centre for Ageing and Neuroscience (Cam-CAN), University of Cambridge and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - Alex Clarke
- Department of Psychology, University of Cambridge, Cambridge, UK.
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16
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Wang T, Xu X. The good, the bad, and the ambivalent: Extrapolating affective values for 38,000+ Chinese words via a computational model. Behav Res Methods 2023:10.3758/s13428-023-02274-3. [PMID: 37968560 DOI: 10.3758/s13428-023-02274-3] [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] [Accepted: 10/16/2023] [Indexed: 11/17/2023]
Abstract
Word affective ratings are important tools in psycholinguistic research, natural language processing, and many other fields. However, even for well-studied languages, such norms are usually limited in scale. To extrapolate affective (i.e., valence and arousal) values for words in the SUBTLEX-CH database (Cai & Brysbaert, 2010, PLoS ONE, 5(6):e10729), we implemented a computational neural network which captured how words' vector-based semantic representations corresponded to the probability densities of their valence and arousal. Based on these probability density functions, we predicted not only a word's affective values, but also their respective degrees of variability that could characterize individual differences in human affective ratings. The resulting estimates of affective values largely converged with human ratings for both valence and arousal, and the estimated degrees of variability also captured important features of the variability in human ratings. We released the extrapolated affective values, together with their corresponding degrees of variability, for over 38,000 Chinese words in the Open Science Framework ( https://osf.io/s9zmd/ ). We also discussed how the view of embodied cognition could be illuminated by this computational model.
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Affiliation(s)
- Tianqi Wang
- School of Foreign Languages, Shanghai Jiao Tong University, 800 Dongchuan Rd., Shanghai, 200240, China
- Speech Science Laboratory, The University of Hong Kong, Hong Kong, China
- Academic Unit of Human Communication, Development, and Information Sciences, The University of Hong Kong, Hong Kong, China
| | - Xu Xu
- School of Foreign Languages, Shanghai Jiao Tong University, 800 Dongchuan Rd., Shanghai, 200240, China.
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17
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Naspi L, Stensholt C, Karlsson AE, Monge ZA, Cabeza R. Effects of Aging on Successful Object Encoding: Enhanced Semantic Representations Compensate for Impaired Visual Representations. J Neurosci 2023; 43:7337-7350. [PMID: 37673674 PMCID: PMC10621770 DOI: 10.1523/jneurosci.2265-22.2023] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 08/09/2023] [Accepted: 08/13/2023] [Indexed: 09/08/2023] Open
Abstract
Although episodic memory and visual processing decline substantially with healthy aging, semantic knowledge is generally spared. There is evidence that older adults' spared semantic knowledge can support episodic memory. Here, we used functional magnetic resonance imaging (fMRI) combined with representational similarity analyses (RSAs) to examine how novel visual and preexisting semantic representations at encoding predict subjective memory vividness at retrieval. Eighteen young and seventeen older adults (female and male participants) encoded images of objects during fMRI scanning and recalled these images while rating the vividness of their memories. After scanning, participants discriminated between studied images and similar lures. RSA based on a deep convolutional neural network and normative concept feature data were used to link patterns of neural activity during encoding to visual and semantic representations. Relative to young adults, the specificity of activation patterns for visual features was reduced in older adults, consistent with dedifferentiation. However, the specificity of activation patterns for semantic features was enhanced in older adults, consistent with hyperdifferentiation. Despite dedifferentiation, visual representations in early visual cortex (EVC) predicted high memory vividness in both age groups. In contrast, semantic representations in lingual gyrus (LG) and fusiform gyrus (FG) were associated with high memory vividness only in the older adults. Intriguingly, data suggests that older adults with lower specificity of visual representations in combination with higher specificity of semantic representations tended to rate their memories as more vivid. Our findings suggest that memory vividness in aging relies more on semantic representations over anterior regions, potentially compensating for age-related dedifferentiation of visual information in posterior regions.SIGNIFICANCE STATEMENT Normal aging is associated with impaired memory for events while semantic knowledge might even improve. We investigated the effects of aging on the specificity of visual and semantic information in the brain when viewing common objects and how this information enables subsequent memory vividness for these objects. Using functional magnetic resonance imaging (fMRI) combined with modeling of the stimuli we found that visual information was represented with less specificity in older than young adults while still supporting memory vividness. In contrast semantic information supported memory vividness only in older adults and especially in those individuals that had the lowest specificity of visual information. These findings provide evidence for a spared semantic memory system increasingly recruited to compensate for degraded visual representations in older age.
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Affiliation(s)
- Loris Naspi
- Department of Psychology, Humboldt University of Berlin, Berlin 10117, Germany
| | - Charlotte Stensholt
- Department of Psychology, Humboldt University of Berlin, Berlin 10117, Germany
| | - Anna E Karlsson
- Department of Psychology, Humboldt University of Berlin, Berlin 10117, Germany
| | - Zachary A Monge
- Center for Cognitive Neuroscience, Duke University, Durham, North Carolina 27708
| | - Roberto Cabeza
- Department of Psychology, Humboldt University of Berlin, Berlin 10117, Germany
- Center for Cognitive Neuroscience, Duke University, Durham, North Carolina 27708
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18
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Vijayarajah S, Schlichting ML. Anterior Hippocampal Engagement during Memory Formation Predicts Subsequent False Recognition of Similar Experiences. J Cogn Neurosci 2023; 35:1716-1740. [PMID: 37677052 DOI: 10.1162/jocn_a_02052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/09/2023]
Abstract
People better remember experiences when they orient to meaning over surface-level perceptual features. Such an orientation-related memory boost has been associated with engagement of both hippocampus (HPC) and neocortex during encoding. However, less is known about the neural mechanisms by which a cognitive orientation toward meaning might also promote memory errors, with one open question being whether the HPC-a region traditionally implicated in precise memory formation-also contributes to behavioral imprecision. We used fMRI to characterize encoding-phase signatures as people oriented toward the meaning (story) versus perceptual style (artist) of storybook-style illustrations and then linked them to subsequent true and false memories. We found that story and artist orientation tasks were each associated with both unique univariate profiles and consistent neural states defined using multivoxel patterns. Linking these neural signatures to behavior, we found that greater medial pFC activation and alignment of neural patterns to the story (but not artist) state was related to subsequent memory success on a trial-by-trial basis. Moreover, among successfully remembered experiences, greater anterior HPC engagement at encoding was associated with a higher likelihood of related false recognitions, consistent with the encoding of broad traces in this region. Interestingly, these effects did not reliably vary by cued orientation. These results suggest that, irrespective of the cued encoding orientation, neocortical and hippocampal mechanisms associated with orienting to meaning (story) over perceptual (artist) features may support memory, with the formation of generalizable memories being a specialty of anterior HPC.
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19
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Antono JE, Dang S, Auksztulewicz R, Pooresmaeili A. Distinct Patterns of Connectivity between Brain Regions Underlie the Intra-Modal and Cross-Modal Value-Driven Modulations of the Visual Cortex. J Neurosci 2023; 43:7361-7375. [PMID: 37684031 PMCID: PMC10621764 DOI: 10.1523/jneurosci.0355-23.2023] [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: 02/24/2023] [Revised: 07/30/2023] [Accepted: 08/26/2023] [Indexed: 09/10/2023] Open
Abstract
Past reward associations may be signaled from different sensory modalities; however, it remains unclear how different types of reward-associated stimuli modulate sensory perception. In this human fMRI study (female and male participants), a visual target was simultaneously presented with either an intra- (visual) or a cross-modal (auditory) cue that was previously associated with rewards. We hypothesized that, depending on the sensory modality of the cues, distinct neural mechanisms underlie the value-driven modulation of visual processing. Using a multivariate approach, we confirmed that reward-associated cues enhanced the target representation in early visual areas and identified the brain valuation regions. Then, using an effective connectivity analysis, we tested three possible patterns of connectivity that could underlie the modulation of the visual cortex: a direct pathway from the frontal valuation areas to the visual areas, a mediated pathway through the attention-related areas, and a mediated pathway that additionally involved sensory association areas. We found evidence for the third model demonstrating that the reward-related information in both sensory modalities is communicated across the valuation and attention-related brain regions. Additionally, the superior temporal areas were recruited when reward was cued cross-modally. The strongest dissociation between the intra- and cross-modal reward-driven effects was observed at the level of the feedforward and feedback connections of the visual cortex estimated from the winning model. These results suggest that, in the presence of previously rewarded stimuli from different sensory modalities, a combination of domain-general and domain-specific mechanisms are recruited across the brain to adjust the visual perception.SIGNIFICANCE STATEMENT Reward has a profound effect on perception, but it is not known whether shared or disparate mechanisms underlie the reward-driven effects across sensory modalities. In this human fMRI study, we examined the reward-driven modulation of the visual cortex by visual (intra-modal) and auditory (cross-modal) reward-associated cues. Using a model-based approach to identify the most plausible pattern of inter-regional effective connectivity, we found that higher-order areas involved in the valuation and attentional processing were recruited by both types of rewards. However, the pattern of connectivity between these areas and the early visual cortex was distinct between the intra- and cross-modal rewards. This evidence suggests that, to effectively adapt to the environment, reward signals may recruit both domain-general and domain-specific mechanisms.
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Affiliation(s)
- Jessica Emily Antono
- Perception and Cognition Lab, European Neuroscience Institute Goettingen-A Joint Initiative of the University Medical Center Goettingen and the Max-Planck-Society, Germany, Goettingen, 37077, Germany
| | - Shilpa Dang
- Perception and Cognition Lab, European Neuroscience Institute Goettingen-A Joint Initiative of the University Medical Center Goettingen and the Max-Planck-Society, Germany, Goettingen, 37077, Germany
- School of Artificial Intelligence and Data Science, Indian Institute of Technology Jodhpur, Karwar, Jodhpur 342030, India
| | - Ryszard Auksztulewicz
- Center for Cognitive Neuroscience Berlin, Free University Berlin, Berlin, 14195, Germany
| | - Arezoo Pooresmaeili
- Perception and Cognition Lab, European Neuroscience Institute Goettingen-A Joint Initiative of the University Medical Center Goettingen and the Max-Planck-Society, Germany, Goettingen, 37077, Germany
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20
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Wang T, Xu X, Xie X, Ng ML. Probing Lexical Ambiguity in Chinese Characters via Their Word Formations: Convergence of Perceived and Computed Metrics. Cogn Sci 2023; 47:e13379. [PMID: 37988245 DOI: 10.1111/cogs.13379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 09/07/2023] [Accepted: 11/02/2023] [Indexed: 11/23/2023]
Abstract
Lexical ambiguity is pervasive in language, and the nature of the representations of an ambiguous word's multiple meanings is yet to be fully understood. With a special focus on Chinese characters, the present study first established that native speaker's perception about a character's number of meanings was heavily influenced by the availability of its distinct word formations, while whether these meanings would be perceived to be closely related was driven by further conceptual analysis. These notions were operationalized as two computed metrics, which assessed the degree of dispersion across individual word formations and the degree of propinquity across clusters of word formations, respectively, in a distributional semantic space. The observed correlations between the computed and the perceived metrics indicated that the utility of word formations to tap into meaning representations of Chinese characters was indeed cognitively plausible. The results have demonstrated the extent to which distributional semantics could inform about meaning representations of Chinese characters, which has theoretical implications for the representation of ambiguous words more generally.
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Affiliation(s)
- Tianqi Wang
- School of Foreign Languages, Shanghai Jiao Tong University
- Speech Science Laboratory, The University of Hong Kong
| | - Xu Xu
- School of Foreign Languages, Shanghai Jiao Tong University
| | - Xurong Xie
- Beijing Key Lab of Human-Computer Interaction, Institute of Software, Chinese Academy of Sciences
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21
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Gardette J, Mosca C, Asien C, Borg C, Mazzola L, Convers P, Gal G, Banjac S, Baciu M, Durocher B, Kahane P, Hot P. Complex visual discrimination is impaired after right, but not left, anterior temporal lobectomy. Hippocampus 2023; 33:1113-1122. [PMID: 37483092 DOI: 10.1002/hipo.23569] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 05/24/2023] [Accepted: 07/06/2023] [Indexed: 07/25/2023]
Abstract
The prevailing view in human cognitive neuroscience associates the medial temporal lobes (MTLs) with declarative memory. Compelling experimental evidence has, however, demonstrated that these regions are specialized according to the representations processed, irrespective of the cognitive domain assessed. This account was supported by the study of patients with bilateral medial temporal amnesia, who exhibit impairments in perceptual tasks involving complex visual stimuli. Yet, little is known regarding the impact of unilateral MTL damage on complex visual abilities. To address this issue, we administered a visual matching task to 20 patients who underwent left (N = 12) or right (N = 8) anterior temporal lobectomy for drug-resistant epilepsy and to 38 healthy controls. Presentation viewpoint was manipulated to increase feature ambiguity, as this is critical to reveal impairments in perceptual tasks. Similar to control participants, patients with left-sided damage succeeded in all task conditions. In contrast, patients with right-sided damage had decreased accuracy compared with that of the other two groups, as well as increased response time. Notably, the accuracy of those with right-sided damage did not exceed chance level when feature ambiguity was high (i.e., when stimuli were presented from different viewpoints) for the most complex classes of stimuli (i.e., scenes and buildings, compared with single objects). The pattern reported in bilateral patients in previous studies was therefore reproduced in patients with right, but not left, resection. These results suggest that the complex visual-representation functions supported by the MTL are right-lateralized, and raise the question as to how the representational account of these regions applies to representations supported by left MTL regions.
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Affiliation(s)
- Jeremy Gardette
- LPNC, CNRS, UMR 5105, Université Grenoble Alpes, Université Savoie Mont Blanc, Grenoble, France
| | - Chrystèle Mosca
- Neurology Department, Chu Grenoble-Alpes, Univ. Grenoble Alpes, Grenoble Institut Neuroscience, Inserm U1216, Grenoble, France
| | - Cassandra Asien
- LPNC, CNRS, UMR 5105, Université Grenoble Alpes, Université Savoie Mont Blanc, Grenoble, France
- Neurology Department, Chu Grenoble-Alpes, Univ. Grenoble Alpes, Grenoble Institut Neuroscience, Inserm U1216, Grenoble, France
| | - Céline Borg
- Neurology Department, University Hospital, Saint-Etienne, France
| | - Laure Mazzola
- Neurology Department, University Hospital, Saint-Etienne, France
| | - Philippe Convers
- Neurology Department, University Hospital, Saint-Etienne, France
| | - Guillaume Gal
- Neurology Department, University Hospital, Saint-Etienne, France
| | - Sonja Banjac
- LPNC, CNRS, UMR 5105, Université Grenoble Alpes, Université Savoie Mont Blanc, Grenoble, France
| | - Monica Baciu
- LPNC, CNRS, UMR 5105, Université Grenoble Alpes, Université Savoie Mont Blanc, Grenoble, France
| | - Bastien Durocher
- LPNC, CNRS, UMR 5105, Université Grenoble Alpes, Université Savoie Mont Blanc, Grenoble, France
| | - Philippe Kahane
- Neurology Department, Chu Grenoble-Alpes, Univ. Grenoble Alpes, Grenoble Institut Neuroscience, Inserm U1216, Grenoble, France
| | - Pascal Hot
- LPNC, CNRS, UMR 5105, Université Grenoble Alpes, Université Savoie Mont Blanc, Grenoble, France
- Institut Universitaire de France, Paris, France
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22
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Frick A, Besson G, Salmon E, Delhaye E. Perirhinal cortex is associated with fine-grained discrimination of conceptually confusable objects in Alzheimer's disease. Neurobiol Aging 2023; 130:1-11. [PMID: 37419076 DOI: 10.1016/j.neurobiolaging.2023.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 06/01/2023] [Accepted: 06/03/2023] [Indexed: 07/09/2023]
Abstract
The perirhinal cortex (PrC) stands among the first brain areas to deteriorate in Alzheimer's disease (AD). This study tests to what extent the PrC is involved in representing and discriminating confusable objects based on the conjunction of their perceptual and conceptual features. To this aim, AD patients and control counterparts performed 3 tasks: a naming, a recognition memory, and a conceptual matching task, where we manipulated conceptual and perceptual confusability. A structural MRI of the antero-lateral parahippocampal subregions was obtained for each participant. We found that the sensitivity to conceptual confusability was associated with the left PrC volume in both AD patients and control participants for the recognition memory task, while it was specifically associated with the volume of the left PrC in AD patients for the conceptual matching task. This suggests that a decreased volume of the PrC is related to the ability to disambiguate conceptually confusable items. Therefore, testing recognition memory or conceptual matching of easily conceptually confusable items can provide a potential cognitive marker of PrC atrophy.
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Affiliation(s)
- Aurélien Frick
- GIGA-CRC In Vivo Imaging, University of Liège, Liège, Belgium; Psychology and Neuroscience of Cognition Research Unit, University of Liège, Liège, Belgium.
| | - Gabriel Besson
- CINEICC, Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal
| | - Eric Salmon
- GIGA-CRC In Vivo Imaging, University of Liège, Liège, Belgium
| | - Emma Delhaye
- GIGA-CRC In Vivo Imaging, University of Liège, Liège, Belgium; Psychology and Neuroscience of Cognition Research Unit, University of Liège, Liège, Belgium
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23
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Lee H, Keene PA, Sweigart SC, Hutchinson JB, Kuhl BA. Adding Meaning to Memories: How Parietal Cortex Combines Semantic Content with Episodic Experience. J Neurosci 2023; 43:6525-6537. [PMID: 37596054 PMCID: PMC10513070 DOI: 10.1523/jneurosci.1919-22.2023] [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: 10/11/2022] [Revised: 07/20/2023] [Accepted: 07/24/2023] [Indexed: 08/20/2023] Open
Abstract
Neuroimaging studies of human memory have consistently found that univariate responses in parietal cortex track episodic experience with stimuli (whether stimuli are 'old' or 'new'). More recently, pattern-based fMRI studies have shown that parietal cortex also carries information about the semantic content of remembered experiences. However, it is not well understood how memory-based and content-based signals are integrated within parietal cortex. Here, in humans (males and females), we used voxel-wise encoding models and a recognition memory task to predict the fMRI activity patterns evoked by complex natural scene images based on (1) the episodic history and (2) the semantic content of each image. Models were generated and compared across distinct subregions of parietal cortex and for occipitotemporal cortex. We show that parietal and occipitotemporal regions each encode memory and content information, but they differ in how they combine this information. Among parietal subregions, angular gyrus was characterized by robust and overlapping effects of memory and content. Moreover, subject-specific semantic tuning functions revealed that successful recognition shifted the amplitude of tuning functions in angular gyrus but did not change the selectivity of tuning. In other words, effects of memory and content were additive in angular gyrus. This pattern of data contrasted with occipitotemporal cortex where memory and content effects were interactive: memory effects were preferentially expressed by voxels tuned to the content of a remembered image. Collectively, these findings provide unique insight into how parietal cortex combines information about episodic memory and semantic content.SIGNIFICANCE STATEMENT Neuroimaging studies of human memory have identified multiple brain regions that not only carry information about "whether" a visual stimulus is successfully recognized but also "what" the content of that stimulus includes. However, a fundamental and open question concerns how the brain integrates these two types of information (memory and content). Here, using a powerful combination of fMRI analysis methods, we show that parietal cortex, particularly the angular gyrus, robustly combines memory- and content-related information, but these two forms of information are represented via additive, independent signals. In contrast, memory effects in high-level visual cortex critically depend on (and interact with) content representations. Together, these findings reveal multiple and distinct ways in which the brain combines memory- and content-related information.
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Affiliation(s)
- Hongmi Lee
- Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD 21218
| | - Paul A Keene
- Department of Psychology, University of Oregon, Eugene, OR 97403
| | - Sarah C Sweigart
- Department of Psychology, University of California-Davis, Davis, California 95616
| | | | - Brice A Kuhl
- Department of Psychology, University of Oregon, Eugene, OR 97403
- Institute of Neuroscience, University of Oregon, Eugene, OR 97403
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24
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Abstract
Perception and memory are traditionally thought of as separate cognitive functions, supported by distinct brain regions. The canonical perspective is that perceptual processing of visual information is supported by the ventral visual stream, whereas long-term declarative memory is supported by the medial temporal lobe. However, this modular framework cannot account for the increasingly large body of evidence that reveals a role for early visual areas in long-term recognition memory and a role for medial temporal lobe structures in high-level perceptual processing. In this article, we review relevant research conducted in humans, nonhuman primates, and rodents. We conclude that the evidence is largely inconsistent with theoretical proposals that draw sharp functional boundaries between perceptual and memory systems in the brain. Instead, the weight of the empirical findings is best captured by a representational-hierarchical model that emphasizes differences in content, rather than in cognitive processes within the ventral visual stream and medial temporal lobe.
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Affiliation(s)
- Chris B Martin
- Department of Psychology, Florida State University, Tallahassee, Florida, USA;
| | - Morgan D Barense
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada;
- Rotman Research Institute, Baycrest Hospital, Toronto, Ontario, Canada
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25
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Yang H, McRae K, Köhler S. Perirhinal cortex automatically tracks multiple types of familiarity regardless of task-relevance. Neuropsychologia 2023; 187:108600. [PMID: 37257689 DOI: 10.1016/j.neuropsychologia.2023.108600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 05/25/2023] [Accepted: 05/26/2023] [Indexed: 06/02/2023]
Abstract
Perirhinal cortex (PrC) has long been implicated in familiarity assessment for objects and corresponding concepts. However, extant studies have focused mainly on changes in familiarity induced by recent exposure in laboratory settings. There is an increasing appreciation of other types of familiarity signals, in particular graded familiarity accumulated throughout one's lifetime. In prior work (Duke et al., 2017, Cortex, 89, 61-70), PrC has been shown to track lifetime familiarity ratings when participants make related judgements. A theoretically important characteristic of familiarity is its proposed automaticity. Support for automaticity comes from a documented impact of recent stimulus exposure on behavioral performance, and on PrC signals, under conditions in which this exposure is not task relevant. In the current fMRI study, we tested whether PrC also tracks lifetime familiarity of object concepts automatically, and whether this type of familiarity influences behavior even when it is not task relevant. During scanning, neurotypical participants (N = 30, age range 18-40, 7 males) provided animacy judgements about concrete object concepts presented at differing frequencies in an initial study phase. In a subsequent test phase, they made graded judgements of recent or lifetime familiarity. Behavioral performance showed sensitivity to lifetime familiarity even when it was not relevant for the task at hand. Across five sets of fMRI analyses, we found that PrC consistently tracked recent and lifetime familiarity of object concepts regardless of the task performed. Critically, while several other temporal-lobe regions also showed isolated familiarity effects, none of them tracked familiarity with the same consistency. These findings demonstrate that PrC automatically tracks multiple types of familiarity. They support models that assign a broad role in the representation of information about object concepts to this structure.
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Affiliation(s)
- Haopei Yang
- Graduate Program in Neuroscience, Western University, London, N6A 3K7, Canada.
| | - Ken McRae
- Department of Psychology, University of Western Ontario , London, N6A 5C2, Canada
| | - Stefan Köhler
- Department of Psychology, University of Western Ontario , London, N6A 5C2, Canada; Rotman Research Institute, Baycrest Centre, Toronto, M6A 2E1, Canada.
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26
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Morton NW, Zippi EL, Preston AR. Memory reactivation and suppression modulate integration of the semantic features of related memories in hippocampus. Cereb Cortex 2023; 33:9020-9037. [PMID: 37264937 PMCID: PMC10350843 DOI: 10.1093/cercor/bhad179] [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: 05/08/2019] [Revised: 04/27/2023] [Accepted: 04/28/2023] [Indexed: 06/03/2023] Open
Abstract
Encoding an event that overlaps with a previous experience may involve reactivating an existing memory and integrating it with new information or suppressing the existing memory to promote formation of a distinct, new representation. We used fMRI during overlapping event encoding to track reactivation and suppression of individual, related memories. We further used a model of semantic knowledge based on Wikipedia to quantify both reactivation of semantic knowledge related to a previous event and formation of integrated memories containing semantic features of both events. Representational similarity analysis revealed that reactivation of semantic knowledge related to a prior event in posterior medial prefrontal cortex (pmPFC) supported memory integration during new learning. Moreover, anterior hippocampus (aHPC) formed integrated representations combining the semantic features of overlapping events. We further found evidence that aHPC integration may be modulated on a trial-by-trial basis by interactions between ventrolateral PFC and anterior mPFC, with suppression of item-specific memory representations in anterior mPFC inhibiting hippocampal integration. These results suggest that PFC-mediated control processes determine the availability of specific relevant memories during new learning, thus impacting hippocampal memory integration.
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Affiliation(s)
- Neal W Morton
- Center for Learning and Memory, The University of Texas at Austin, Austin, TX 78712, United States
| | - Ellen L Zippi
- Helen Wills Neuroscience Institute, University of California, Berkeley, CA 95064, United States
| | - Alison R Preston
- Center for Learning and Memory, The University of Texas at Austin, Austin, TX 78712, United States
- Department of Psychology, The University of Texas at Austin, Austin, TX 78712, United States
- Department of Neuroscience, The University of Texas at Austin, Austin, TX 78712, United States
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27
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Xu Y, Vignali L, Sigismondi F, Crepaldi D, Bottini R, Collignon O. Similar object shape representation encoded in the inferolateral occipitotemporal cortex of sighted and early blind people. PLoS Biol 2023; 21:e3001930. [PMID: 37490508 PMCID: PMC10368275 DOI: 10.1371/journal.pbio.3001930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 06/23/2023] [Indexed: 07/27/2023] Open
Abstract
We can sense an object's shape by vision or touch. Previous studies suggested that the inferolateral occipitotemporal cortex (ILOTC) implements supramodal shape representations as it responds more to seeing or touching objects than shapeless textures. However, such activation in the anterior portion of the ventral visual pathway could be due to the conceptual representation of an object or visual imagery triggered by touching an object. We addressed these possibilities by directly comparing shape and conceptual representations of objects in early blind (who lack visual experience/imagery) and sighted participants. We found that bilateral ILOTC in both groups showed stronger activation during a shape verification task than during a conceptual verification task made on the names of the same manmade objects. Moreover, the distributed activity in the ILOTC encoded shape similarity but not conceptual association among objects. Besides the ILOTC, we also found shape representation in both groups' bilateral ventral premotor cortices and intraparietal sulcus (IPS), a frontoparietal circuit relating to object grasping and haptic processing. In contrast, the conceptual verification task activated both groups' left perisylvian brain network relating to language processing and, interestingly, the cuneus in early blind participants only. The ILOTC had stronger functional connectivity to the frontoparietal circuit than to the left perisylvian network, forming a modular structure specialized in shape representation. Our results conclusively support that the ILOTC selectively implements shape representation independently of visual experience, and this unique functionality likely comes from its privileged connection to the frontoparietal haptic circuit.
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Affiliation(s)
- Yangwen Xu
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Trento, Italy
| | - Lorenzo Vignali
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Trento, Italy
- International School for Advanced Studies (SISSA), Trieste, Italy
| | | | - Davide Crepaldi
- International School for Advanced Studies (SISSA), Trieste, Italy
| | - Roberto Bottini
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Trento, Italy
| | - Olivier Collignon
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Trento, Italy
- Psychological Sciences Research Institute (IPSY) and Institute of NeuroScience (IoNS), University of Louvain, Louvain-la-Neuve, Belgium
- School of Health Sciences, HES-SO Valais-Wallis, The Sense Innovation and Research Center, Lausanne and Sion, Switzerland
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28
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Li AY, Yuan JY, Pun C, Barense MD. The effect of memory load on object reconstruction: Insights from an online mouse-tracking task. Atten Percept Psychophys 2023; 85:1612-1630. [PMID: 36600154 DOI: 10.3758/s13414-022-02650-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/20/2022] [Indexed: 01/05/2023]
Abstract
Why can't we remember everything that we experience? Previous work in the domain of object memory has suggested that our ability to resolve interference between relevant and irrelevant object features may limit how much we can remember at any given moment. Here, we developed an online mouse-tracking task to study how memory load influences object reconstruction, testing participants synchronously over virtual conference calls. We first tested up to 18 participants concurrently, replicating memory findings from a condition where participants were tested individually. Next, we examined how memory load influenced mouse trajectories as participants reconstructed target objects. We found interference between the contents of working memory and what was perceived during object reconstruction, an effect that interacted with visual similarity and memory load. Furthermore, we found interference from previously studied but currently irrelevant objects, providing evidence of object-to-location binding errors. At the greatest memory load, participants were nearly three times more likely to move their mouse cursor over previously studied nontarget objects, an effect observed primarily during object reconstruction rather than in the period before the final response. As evidence of the dynamic interplay between working memory and perception, these results show that object reconstruction behavior may be altered by (i) interference between what is represented in mind and what is currently being viewed, and (ii) interference from previously studied but currently irrelevant information. Finally, we discuss how mouse tracking can provide a rich characterization of participant behavior at millisecond temporal resolution, enormously increasing power in cognitive psychology experiments.
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Affiliation(s)
- Aedan Y Li
- Department of Psychology, University of Toronto, 100 St. George Street, Toronto, ON, M5S 3G3, Canada.
| | - James Y Yuan
- Department of Psychology, University of Toronto, 100 St. George Street, Toronto, ON, M5S 3G3, Canada.
| | - Carson Pun
- Department of Psychology, University of Toronto, 100 St. George Street, Toronto, ON, M5S 3G3, Canada
| | - Morgan D Barense
- Department of Psychology, University of Toronto, 100 St. George Street, Toronto, ON, M5S 3G3, Canada
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29
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Bastin C, Delhaye E. Targeting the function of the transentorhinal cortex to identify early cognitive markers of Alzheimer's disease. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2023:10.3758/s13415-023-01093-5. [PMID: 37024735 DOI: 10.3758/s13415-023-01093-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/19/2023] [Indexed: 04/08/2023]
Abstract
Initial neuropathology of early Alzheimer's disease accumulates in the transentorhinal cortex. We review empirical data suggesting that tasks assessing cognitive functions supported by the transenthorinal cortex are impaired as early as the preclinical stages of Alzheimer's disease. These tasks span across various domains, including episodic memory, semantic memory, language, and perception. We propose that all tasks sensitive to Alzheimer-related transentorhinal neuropathology commonly rely on representations of entities supporting the processing and discrimination of items having perceptually and conceptually overlapping features. In the future, we suggest a screening tool that is sensitive and specific to very early Alzheimer's disease to probe memory and perceptual discrimination of highly similar entities.
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Affiliation(s)
- Christine Bastin
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Allée du 6 Août, B30, 4000, Liège, Belgium.
| | - Emma Delhaye
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Allée du 6 Août, B30, 4000, Liège, Belgium
- CICPSI, Faculdade de Psicologia, Universidade de Lisboa, Lisbon, Portugal
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30
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Halpern DJ, Tubridy S, Davachi L, Gureckis TM. Identifying causal subsequent memory effects. Proc Natl Acad Sci U S A 2023; 120:e2120288120. [PMID: 36952384 PMCID: PMC10068819 DOI: 10.1073/pnas.2120288120] [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: 11/08/2021] [Accepted: 12/12/2022] [Indexed: 03/24/2023] Open
Abstract
Over 40 y of accumulated research has detailed associations between neuroimaging signals measured during a memory encoding task and later memory performance, across a variety of brain regions, measurement tools, statistical approaches, and behavioral tasks. But the interpretation of these subsequent memory effects (SMEs) remains unclear: if the identified signals reflect cognitive and neural mechanisms of memory encoding, then the underlying neural activity must be causally related to future memory. However, almost all previous SME analyses do not control for potential confounders of this causal interpretation, such as serial position and item effects. We collect a large fMRI dataset and use an experimental design and analysis approach that allows us to statistically adjust for nearly all known exogenous confounding variables. We find that, using standard approaches without adjustment, we replicate several univariate and multivariate subsequent memory effects and are able to predict memory performance across people. However, we are unable to identify any signal that reliably predicts subsequent memory after adjusting for confounding variables, bringing into doubt the causal status of these effects. We apply the same approach to subjects' judgments of learning collected following an encoding period and show that these behavioral measures of mnemonic status do predict memory after adjustments, suggesting that it is possible to measure signals near the time of encoding that reflect causal mechanisms but that existing neuroimaging measures, at least in our data, may not have the precision and specificity to do so.
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Affiliation(s)
- David J. Halpern
- Department of Psychology, New York University, New York, NY10003
| | - Shannon Tubridy
- Department of Psychology, New York University, New York, NY10003
| | - Lila Davachi
- Department of Psychology, Columbia University, New York, NY10027
| | - Todd M. Gureckis
- Department of Psychology, New York University, New York, NY10003
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31
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Amer T, Davachi L. Extra-hippocampal contributions to pattern separation. eLife 2023; 12:82250. [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] [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 Victoria, Victoria, Canada
| | - Lila Davachi
- Department of Psychology, Columbia University, New York, United States
- Nathan Kline Research Institute, Orangeburg, United States
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32
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Semantic cognition in healthy ageing: Neural signatures of representation and control mechanisms in naming typical and atypical objects. Neuropsychologia 2023; 184:108545. [PMID: 36934809 DOI: 10.1016/j.neuropsychologia.2023.108545] [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: 05/25/2022] [Revised: 11/19/2022] [Accepted: 03/16/2023] [Indexed: 03/19/2023]
Abstract
Effective use of conceptual knowledge engages semantic representation and control processes to access information in a goal-driven manner. Neuropsychological findings of patients presenting either degraded knowledge (e.g., semantic dementia) or disrupted control (e.g., semantic aphasia) converge with neuroimaging evidence from young adults, and delineate the neural segregation of representation and control mechanisms. However, there is still scarce research on the neurofunctional underpinnings of such mechanisms in healthy ageing. To address this, we conducted an fMRI study, wherein young and older adults performed a covert naming task of typical and atypical objects. Three main age-related differences were found. As shown by age group and typicality interactions, older adults exhibited overactivation during naming of atypical (e.g., avocado) relative to typical concepts in brain regions associated to semantic representation, including anterior and medial portions of left temporal lobe (respectively, ATL and MTG). This provides evidence for the reorganization of neural activity in these brain regions contingent to the enrichment of semantic repositories in older ages. The medial orbitofrontal gyrus was also overactivated, indicating that the processing of atypical concepts (relative to typical items) taxes additional control resources in the elderly. Increased activation in the inferior frontal gyrus (IFG) was observed in naming typical items (relative to atypical ones), but only for young adults. This suggests that naming typical items (e.g., strawberry) taxes more on control processes in younger ages, presumably due to the semantic competition set by other items that share multiple features with the target (e.g., raspberry, blackberry, cherry). Together, these results reveal the dynamic nature of semantic control interplaying with conceptual representations as people grow older, by indicating that distinct neural bases uphold semantic performance from young to older ages. These findings may be explained by neural compensation mechanisms coming into play to support neurocognitive changes in healthy ageing.
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33
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Delhaye E, Coco MI, Bahri MA, Raposo A. Typicality in the brain during semantic and episodic memory decisions. Neuropsychologia 2023; 184:108529. [PMID: 36898662 DOI: 10.1016/j.neuropsychologia.2023.108529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 11/25/2022] [Accepted: 03/02/2023] [Indexed: 03/11/2023]
Abstract
Concept typicality is a key semantic dimension supporting the categorical organization of items based on their features, such that typical items share more features with other members of their category than atypical items, which are more distinctive. Typicality effects manifest in better accuracy and faster response times during categorization tasks, but higher performance for atypical items in episodic memory tasks, due to their distinctiveness. At a neural level, typicality has been linked to the anterior temporal lobe (ATL) and the inferior frontal gyrus (IFG) in semantic decision tasks, but patterns of brain activity during episodic memory tasks remain to be understood. We investigated the neural correlates of typicality in semantic and episodic memory to determine the brain regions associated with semantic typicality and uncover effects arising when items are reinstated during retrieval. In an fMRI study, 26 healthy young subjects first performed a category verification task on words representing typical and atypical concepts (encoding), and then completed a recognition memory task (retrieval). In line with previous literature, we observed higher accuracy and faster response times for typical items in the category verification task, while atypical items were better recognized in the episodic memory task. During category verification, univariate analyses revealed a greater involvement of the angular gyrus for typical items and the inferior frontal gyrus for atypical items. During the correct recognition of old items, regions belonging to the core recollection network were activated. We then compared the similarity of the representations from encoding to retrieval (ERS) using Representation Similarity Analyses. Results showed that typical items were reinstated more than atypical ones in several regions including the left precuneus and left anterior temporal lobe (ATL). This suggests that the correct retrieval of typical items requires finer-grained processing, evidenced by greater item-specific reinstatement, which is needed to resolve their confusability with other members of the category due to their higher feature similarity. Our findings confirm the centrality of the ATL in the processing of typicality while extending it to memory retrieval.
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Affiliation(s)
- Emma Delhaye
- GIGA-CRC IVI, Liege University, Belgium; CICPSI, Faculdade de Psicologia, Universidade de Lisboa, Portugal.
| | - Moreno I Coco
- CICPSI, Faculdade de Psicologia, Universidade de Lisboa, Portugal; Department of Psychology, Sapienza, University of Rome, Italy; IRCCS Santa Lucia, Rome, Italy
| | | | - Ana Raposo
- CICPSI, Faculdade de Psicologia, Universidade de Lisboa, Portugal
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34
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Frisby SL, Halai AD, Cox CR, Lambon Ralph MA, Rogers TT. Decoding semantic representations in mind and brain. Trends Cogn Sci 2023; 27:258-281. [PMID: 36631371 DOI: 10.1016/j.tics.2022.12.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 12/12/2022] [Accepted: 12/13/2022] [Indexed: 01/11/2023]
Abstract
A key goal for cognitive neuroscience is to understand the neurocognitive systems that support semantic memory. Recent multivariate analyses of neuroimaging data have contributed greatly to this effort, but the rapid development of these novel approaches has made it difficult to track the diversity of findings and to understand how and why they sometimes lead to contradictory conclusions. We address this challenge by reviewing cognitive theories of semantic representation and their neural instantiation. We then consider contemporary approaches to neural decoding and assess which types of representation each can possibly detect. The analysis suggests why the results are heterogeneous and identifies crucial links between cognitive theory, data collection, and analysis that can help to better connect neuroimaging to mechanistic theories of semantic cognition.
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Affiliation(s)
- Saskia L Frisby
- Medical Research Council (MRC) Cognition and Brain Sciences Unit, Chaucer Road, Cambridge CB2 7EF, UK.
| | - Ajay D Halai
- Medical Research Council (MRC) Cognition and Brain Sciences Unit, Chaucer Road, Cambridge CB2 7EF, UK
| | - Christopher R Cox
- Department of Psychology, Louisiana State University, Baton Rouge, LA 70803, USA
| | - Matthew A Lambon Ralph
- Medical Research Council (MRC) Cognition and Brain Sciences Unit, Chaucer Road, Cambridge CB2 7EF, UK
| | - Timothy T Rogers
- Department of Psychology, University of Wisconsin-Madison, 1202 West Johnson Street, Madison, WI 53706, USA.
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35
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Zhang Z, Good M, Kulikov V, van Horen F, Bartholomew M, Kayser AS, Hsu M. From scanner to court: A neuroscientifically informed "reasonable person" test of trademark infringement. SCIENCE ADVANCES 2023; 9:eabo1095. [PMID: 36753556 PMCID: PMC9908014 DOI: 10.1126/sciadv.abo1095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 01/06/2023] [Indexed: 06/18/2023]
Abstract
Many legal decisions center on the thoughts or perceptions of some idealized group of individuals, referred to variously as the "average person," "the typical consumer," or the "reasonable person." Substantial concerns exist, however, regarding the subjectivity and vulnerability to biases inherent in conventional means of assessing such responses, particularly the use of self-report evidence. Here, we addressed these concerns by complementing self-report evidence with neural data to inform the mental representations in question. Using an example from intellectual property law, we demonstrate that it is possible to construct a parsimonious neural index of visual similarity that can inform the reasonable person test of trademark infringement. Moreover, when aggregated across multiple participants, this index was able to detect experimenter-induced biases in self-report surveys in a sensitive and replicable fashion. Together, these findings potentially broaden the possibilities for neuroscientific data to inform legal decision-making across a range of settings.
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Affiliation(s)
- Zhihao Zhang
- Darden School of Business, University of Virginia, Charlottesville, VA, USA
- Department of Psychology, University of Virginia, Charlottesville, VA, USA
- Haas School of Business, University of California, Berkeley, Berkeley, CA, USA
| | - Maxwell Good
- Haas School of Business, University of California, Berkeley, Berkeley, CA, USA
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA
- Department of Veterans Affairs Northern California Health Care System, CA, USA
| | - Vera Kulikov
- Haas School of Business, University of California, Berkeley, Berkeley, CA, USA
| | - Femke van Horen
- School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Mark Bartholomew
- School of Law, State University of New York at Buffalo, Buffalo, NY, USA
| | - Andrew S. Kayser
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA
- Department of Veterans Affairs Northern California Health Care System, CA, USA
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Ming Hsu
- Haas School of Business, University of California, Berkeley, Berkeley, CA, USA
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA
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36
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Fu Z, Wang X, Wang X, Yang H, Wang J, Wei T, Liao X, Liu Z, Chen H, Bi Y. Different computational relations in language are captured by distinct brain systems. Cereb Cortex 2023; 33:997-1013. [PMID: 35332914 DOI: 10.1093/cercor/bhac117] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 02/25/2022] [Accepted: 02/26/2022] [Indexed: 11/14/2022] Open
Abstract
A critical way for humans to acquire information is through language, yet whether and how language experience drives specific neural semantic representations is still poorly understood. We considered statistical properties captured by 3 different computational principles of language (simple co-occurrence, network-(graph)-topological relations, and neural-network-vector-embedding relations) and tested the extent to which they can explain the neural patterns of semantic representations, measured by 2 functional magnetic resonance imaging experiments that shared common semantic processes. Distinct graph-topological word relations, and not simple co-occurrence or neural-network-vector-embedding relations, had unique explanatory power for the neural patterns in the anterior temporal lobe (capturing graph-common-neighbors), inferior frontal gyrus, and posterior middle/inferior temporal gyrus (capturing graph-shortest-path). These results were relatively specific to language: they were not explained by sensory-motor similarities and the same computational relations of visual objects (based on visual image database) showed effects in the visual cortex in the picture naming experiment. That is, different topological properties within language and the same topological computations (common-neighbors) for language and visual inputs are captured by different brain regions. These findings reveal the specific neural semantic representations along graph-topological properties of language, highlighting the information type-specific and statistical property-specific manner of semantic representations in the human brain.
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Affiliation(s)
- Ze Fu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China
| | - Xiaosha Wang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China
| | - Xiaoying Wang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China
| | - Huichao Yang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China.,School of Systems Science, Beijing Normal University, Beijing 100875, China
| | - Jiahuan Wang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China
| | - Tao Wei
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China
| | - Xuhong Liao
- School of Systems Science, Beijing Normal University, Beijing 100875, China
| | - Zhiyuan Liu
- Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
| | - Huimin Chen
- School of Journalism and Communication, Tsinghua University, Beijing 100084, China
| | - Yanchao Bi
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China.,Chinese Institute for Brain Research, Beijing 102206, China
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37
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Leisman G. On the Application of Developmental Cognitive Neuroscience in Educational Environments. Brain Sci 2022; 12:1501. [PMID: 36358427 PMCID: PMC9688360 DOI: 10.3390/brainsci12111501] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 10/25/2022] [Accepted: 11/01/2022] [Indexed: 09/29/2023] Open
Abstract
The paper overviews components of neurologic processing efficiencies to develop innovative methodologies and thinking to school-based applications and changes in educational leadership based on sound findings in the cognitive neurosciences applied to schools and learners. Systems science can allow us to better manage classroom-based learning and instruction on the basis of relatively easily evaluated efficiencies or inefficiencies and optimization instead of simply examining achievement. "Medicalizing" the learning process with concepts such as "learning disability" or employing grading methods such as pass-fail does little to aid in understanding the processes that learners employ to acquire, integrate, remember, and apply information learned. The paper endeavors to overview and provided reference to tools that can be employed that allow a better focus on nervous system-based strategic approaches to classroom learning.
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Affiliation(s)
- Gerry Leisman
- Movement and Cognition Laboratory, Department of Physical Therapy, University of Haifa, Haifa 3498838, Israel; or
- Department of Neurology, Universidad de Ciencias Médicas de la Habana, Havana 11300, Cuba
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38
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Jiang Z, Sanders DMW, Cowell RA. Visual and semantic similarity norms for a photographic image stimulus set containing recognizable objects, animals and scenes. Behav Res Methods 2022; 54:2364-2380. [PMID: 35088365 PMCID: PMC9325926 DOI: 10.3758/s13428-021-01732-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/21/2021] [Indexed: 11/08/2022]
Abstract
We collected visual and semantic similarity norms for a set of photographic images comprising 120 recognizable objects/animals and 120 indoor/outdoor scenes. Human observers rated the similarity of pairs of images within four categories of stimuli-inanimate objects, animals, indoor scenes and outdoor scenes-via Amazon's Mechanical Turk. We performed multidimensional scaling (MDS) on the collected similarity ratings to visualize the perceived similarity for each image category, for both visual and semantic ratings. The MDS solutions revealed the expected similarity relationships between images within each category, along with intuitively sensible differences between visual and semantic similarity relationships for each category. Stress tests performed on the MDS solutions indicated that the MDS analyses captured meaningful levels of variance in the similarity data. These stimuli, associated norms and naming data are made available to all researchers, and should provide a useful resource for researchers of vision, memory and conceptual knowledge wishing to run experiments using well-parameterized stimulus sets.
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Affiliation(s)
- Zhuohan Jiang
- Neuroscience Program, Smith College, Northampton, MA, USA
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada
| | - D Merika W Sanders
- Department of Psychological and Brain Sciences, University of Massachusetts Amherst, 135 Hicks Way, Amherst, MA, 01003, USA
- Department of Psychology, Harvard University, Cambridge, MA, USA
| | - Rosemary A Cowell
- Department of Psychological and Brain Sciences, University of Massachusetts Amherst, 135 Hicks Way, Amherst, MA, 01003, USA.
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39
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Tong J, Binder JR, Humphries C, Mazurchuk S, Conant LL, Fernandino L. A Distributed Network for Multimodal Experiential Representation of Concepts. J Neurosci 2022; 42:7121-7130. [PMID: 35940877 PMCID: PMC9480893 DOI: 10.1523/jneurosci.1243-21.2022] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 07/11/2022] [Accepted: 07/13/2022] [Indexed: 11/21/2022] Open
Abstract
Neuroimaging, neuropsychological, and psychophysical evidence indicate that concept retrieval selectively engages specific sensory and motor brain systems involved in the acquisition of the retrieved concept. However, it remains unclear which supramodal cortical regions contribute to this process and what kind of information they represent. Here, we used representational similarity analysis of two large fMRI datasets with a searchlight approach to generate a detailed map of human brain regions where the semantic similarity structure across individual lexical concepts can be reliably detected. We hypothesized that heteromodal cortical areas typically associated with the default mode network encode multimodal experiential information about concepts, consistent with their proposed role as cortical integration hubs. In two studies involving different sets of concepts and different participants (both sexes), we found a distributed, bihemispheric network engaged in concept representation, composed of high-level association areas in the anterior, lateral, and ventral temporal lobe; inferior parietal lobule; posterior cingulate gyrus and precuneus; and medial, dorsal, ventrolateral, and orbital prefrontal cortex. In both studies, a multimodal model combining sensory, motor, affective, and other types of experiential information explained significant variance in the neural similarity structure observed in these regions that was not explained by unimodal experiential models or by distributional semantics (i.e., word2vec similarity). These results indicate that during concept retrieval, lexical concepts are represented across a vast expanse of high-level cortical regions, especially in the areas that make up the default mode network, and that these regions encode multimodal experiential information.SIGNIFICANCE STATEMENT Conceptual knowledge includes information acquired through various modalities of experience, such as visual, auditory, tactile, and emotional information. We investigated which brain regions encode mental representations that combine information from multiple modalities when participants think about the meaning of a word. We found that such representations are encoded across a widely distributed network of cortical areas in both hemispheres, including temporal, parietal, limbic, and prefrontal association areas. Several areas not traditionally associated with semantic cognition were also implicated. Our results indicate that the retrieval of conceptual knowledge during word comprehension relies on a much larger portion of the cerebral cortex than previously thought and that multimodal experiential information is represented throughout the entire network.
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Affiliation(s)
- Jiaqing Tong
- Departments of Neurology
- Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin 53226
| | - Jeffrey R Binder
- Departments of Neurology
- Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin 53226
| | | | - Stephen Mazurchuk
- Departments of Neurology
- Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin 53226
| | | | - Leonardo Fernandino
- Departments of Neurology
- Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, Wisconsin 53233
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40
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Pudhiyidath A, Morton NW, Viveros Duran R, Schapiro AC, Momennejad I, Hinojosa-Rowland DM, Molitor RJ, Preston AR. Representations of Temporal Community Structure in Hippocampus and Precuneus Predict Inductive Reasoning Decisions. J Cogn Neurosci 2022; 34:1736-1760. [PMID: 35579986 PMCID: PMC10262802 DOI: 10.1162/jocn_a_01864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Our understanding of the world is shaped by inferences about underlying structure. For example, at the gym, you might notice that the same people tend to arrive around the same time and infer that they are friends that work out together. Consistent with this idea, after participants are presented with a temporal sequence of objects that follows an underlying community structure, they are biased to infer that objects from the same community share the same properties. Here, we used fMRI to measure neural representations of objects after temporal community structure learning and examine how these representations support inference about object relationships. We found that community structure learning affected inferred object similarity: When asked to spatially group items based on their experience, participants tended to group together objects from the same community. Neural representations in perirhinal cortex predicted individual differences in object grouping, suggesting that high-level object representations are affected by temporal community learning. Furthermore, participants were biased to infer that objects from the same community would share the same properties. Using computational modeling of temporal learning and inference decisions, we found that inductive reasoning is influenced by both detailed knowledge of temporal statistics and abstract knowledge of the temporal communities. The fidelity of temporal community representations in hippocampus and precuneus predicted the degree to which temporal community membership biased reasoning decisions. Our results suggest that temporal knowledge is represented at multiple levels of abstraction, and that perirhinal cortex, hippocampus, and precuneus may support inference based on this knowledge.
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41
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Li AY, Fukuda K, Barense MD. Independent features form integrated objects: Using a novel shape-color “conjunction task” to reconstruct memory resolution for multiple object features simultaneously. Cognition 2022; 223:105024. [DOI: 10.1016/j.cognition.2022.105024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 12/17/2021] [Accepted: 01/13/2022] [Indexed: 11/16/2022]
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42
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Mitchnick KA, Ahmad Z, Mitchnick SD, Ryan JD, Rosenbaum RS, Freud E. Damage to the human dentate gyrus impairs the perceptual discrimination of complex, novel objects. Neuropsychologia 2022; 172:108238. [PMID: 35513066 DOI: 10.1016/j.neuropsychologia.2022.108238] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 01/25/2022] [Accepted: 04/07/2022] [Indexed: 11/19/2022]
Abstract
The hippocampus (HPC), and the dentate gyrus (DG) subregion in particular, is purported to be a pattern separator, orthogonally representing similar information so that distinct memories may be formed. The HPC may also be involved in complex perceptual discrimination. It is unclear if this role is limited to spatial/scene stimuli or extends to the discrimination of objects. Also unclear is whether the DG itself contributes to pattern separation beyond memory. BL, an individual with bilateral DG lesions, was previously shown to have poor discrimination of similar, everyday objects in memory. Here, we demonstrate that BL's deficit extends to complex perceptual discrimination of novel objects. Specifically, BL was presented with closely matched possible and impossible objects, which give rise to fundamentally different 3D perceptual representations despite being visually similar. BL performed significantly worse than controls when asked to select an odd object (e.g., impossible) amongst three identical counterpart objects (e.g., possible) presented at different rotations. His deficit was also evident in an atypical eye fixation pattern during this task. In contrast, BL's performance was indistinguishable from that of controls on other tasks involving the same objects, indicating that he could visually differentiate the object pairs, that he perceived the objects holistically in 3D, and that he has only a mild weakness in categorizing object possibility. Furthermore, his performance on standardized neuropsychological measures indicated intact mental rotation, visual-spatial attention, and working memory (visual and auditory). Collectively, these results provide evidence that the DG is necessary for complex perceptual discrimination of novel objects, indicating that the DG might function as a generic pattern separator of a wide range of stimuli within high-level perception, and that its role is not limited to memory.
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Affiliation(s)
- K A Mitchnick
- York University, Toronto, Canada; Rotman Research Institute at Baycrest Hospital, Toronto, Canada.
| | - Z Ahmad
- York University, Toronto, Canada
| | | | - J D Ryan
- Rotman Research Institute at Baycrest Hospital, Toronto, Canada
| | - R S Rosenbaum
- York University, Toronto, Canada; Rotman Research Institute at Baycrest Hospital, Toronto, Canada.
| | - E Freud
- York University, Toronto, Canada.
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43
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Skocypec RM, Peterson MA. Semantic Expectation Effects on Object Detection: Using Figure Assignment to Elucidate Mechanisms. Vision (Basel) 2022; 6:vision6010019. [PMID: 35324604 PMCID: PMC8953613 DOI: 10.3390/vision6010019] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 03/02/2022] [Accepted: 03/15/2022] [Indexed: 11/16/2022] Open
Abstract
Recent evidence suggesting that object detection is improved following valid rather than invalid labels implies that semantics influence object detection. It is not clear, however, whether the results index object detection or feature detection. Further, because control conditions were absent and labels and objects were repeated multiple times, the mechanisms are unknown. We assessed object detection via figure assignment, whereby objects are segmented from backgrounds. Masked bipartite displays depicting a portion of a mono-oriented object (a familiar configuration) on one side of a central border were shown once only for 90 or 100 ms. Familiar configuration is a figural prior. Accurate detection was indexed by reports of an object on the familiar configuration side of the border. Compared to control experiments without labels, valid labels improved accuracy and reduced response times (RTs) more for upright than inverted objects (Studies 1 and 2). Invalid labels denoting different superordinate-level objects (DSC; Study 1) or same superordinate-level objects (SSC; Study 2) reduced accuracy for upright displays only. Orientation dependency indicates that effects are mediated by activated object representations rather than features which are invariant over orientation. Following invalid SSC labels (Study 2), accurate detection RTs were longer than control for both orientations, implicating conflict between semantic representations that had to be resolved before object detection. These results demonstrate that object detection is not just affected by semantics, it entails semantics.
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Affiliation(s)
- Rachel M. Skocypec
- Visual Perception Lab, Department of Psychology, School of Mind, Brain and Behavior, University of Arizona, Tucson, AZ 85721, USA
- Cognitive Science Program, School of Mind, Brain and Behavior, University of Arizona, Tucson, AZ 85721, USA
- Correspondence: (R.M.S.); (M.A.P.)
| | - Mary A. Peterson
- Visual Perception Lab, Department of Psychology, School of Mind, Brain and Behavior, University of Arizona, Tucson, AZ 85721, USA
- Cognitive Science Program, School of Mind, Brain and Behavior, University of Arizona, Tucson, AZ 85721, USA
- Correspondence: (R.M.S.); (M.A.P.)
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44
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Ferko KM, Blumenthal A, Martin CB, Proklova D, Minos AN, Saksida LM, Bussey TJ, Khan AR, Köhler S. Activity in perirhinal and entorhinal cortex predicts perceived visual similarities among category exemplars with highest precision. eLife 2022; 11:66884. [PMID: 35311645 PMCID: PMC9020819 DOI: 10.7554/elife.66884] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 03/17/2022] [Indexed: 01/22/2023] Open
Abstract
Vision neuroscience has made great strides in understanding the hierarchical organization of object representations along the ventral visual stream (VVS). How VVS representations capture fine-grained visual similarities between objects that observers subjectively perceive has received limited examination so far. In the current study, we addressed this question by focussing on perceived visual similarities among subordinate exemplars of real-world categories. We hypothesized that these perceived similarities are reflected with highest fidelity in neural activity patterns downstream from inferotemporal regions, namely in perirhinal (PrC) and anterolateral entorhinal cortex (alErC) in the medial temporal lobe. To address this issue with functional magnetic resonance imaging (fMRI), we administered a modified 1-back task that required discrimination between category exemplars as well as categorization. Further, we obtained observer-specific ratings of perceived visual similarities, which predicted behavioural discrimination performance during scanning. As anticipated, we found that activity patterns in PrC and alErC predicted the structure of perceived visual similarity relationships among category exemplars, including its observer-specific component, with higher precision than any other VVS region. Our findings provide new evidence that subjective aspects of object perception that rely on fine-grained visual differentiation are reflected with highest fidelity in the medial temporal lobe.
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Affiliation(s)
- Kayla M Ferko
- Brain and Mind Institute, University of Western Ontario, London, Canada.,Robarts Research Institute Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada
| | - Anna Blumenthal
- Brain and Mind Institute, University of Western Ontario, London, Canada.,Cervo Brain Research Center, University of Laval, Quebec, Canada
| | - Chris B Martin
- Department of Psychology, Florida State University, Tallahassee, United States
| | - Daria Proklova
- Brain and Mind Institute, University of Western Ontario, London, Canada
| | - Alexander N Minos
- Brain and Mind Institute, University of Western Ontario, London, Canada
| | - Lisa M Saksida
- Brain and Mind Institute, University of Western Ontario, London, Canada.,Robarts Research Institute Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada.,Department of Physiology and Pharmacology, University of Western Ontario, London, Canada
| | - Timothy J Bussey
- Brain and Mind Institute, University of Western Ontario, London, Canada.,Robarts Research Institute Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada.,Department of Physiology and Pharmacology, University of Western Ontario, London, Canada
| | - Ali R Khan
- Brain and Mind Institute, University of Western Ontario, London, Canada.,Robarts Research Institute Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada.,School of Biomedical Engineering, University of Western Ontario, London, Canada.,Department of Medical Biophysics, University of Western Ontario, London, Canada
| | - Stefan Köhler
- Brain and Mind Institute, University of Western Ontario, London, Canada.,Department of Psychology, University of Western Ontario, London, Canada
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45
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Gao Z, Zheng L, Gouws A, Krieger-Redwood K, Wang X, Varga D, Smallwood J, Jefferies E. Context free and context-dependent conceptual representation in the brain. Cereb Cortex 2022; 33:152-166. [PMID: 35196710 PMCID: PMC9758583 DOI: 10.1093/cercor/bhac058] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 01/27/2022] [Accepted: 01/28/2022] [Indexed: 11/13/2022] Open
Abstract
How concepts are coded in the brain is a core issue in cognitive neuroscience. Studies have focused on how individual concepts are processed, but the way in which conceptual representation changes to suit the context is unclear. We parametrically manipulated the association strength between words, presented in pairs one word at a time using a slow event-related fMRI design. We combined representational similarity analysis and computational linguistics to probe the neurocomputational content of these trials. Individual word meaning was maintained in supramarginal gyrus (associated with verbal short-term memory) when items were judged to be unrelated, but not when a linking context was retrieved. Context-dependent meaning was instead represented in left lateral prefrontal gyrus (associated with controlled retrieval), angular gyrus, and ventral temporal lobe (regions associated with integrative aspects of memory). Analyses of informational connectivity, examining the similarity of activation patterns across trials between sites, showed that control network regions had more similar multivariate responses across trials when association strength was weak, reflecting a common controlled retrieval state when the task required more unusual associations. These findings indicate that semantic control and representational sites amplify contextually relevant meanings in trials judged to be related.
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Affiliation(s)
- Zhiyao Gao
- Department of Psychology, University of York, Heslington, NY YO10 5DD, United Kingdom
| | - Li Zheng
- Department of Psychology, University of Arizona, Tucson, AZ 85719, United States
| | - André Gouws
- Department of Psychology, University of York, Heslington, NY YO10 5DD, United Kingdom
| | - Katya Krieger-Redwood
- Department of Psychology, University of York, Heslington, NY YO10 5DD, United Kingdom
| | - Xiuyi Wang
- Department of Psychology, University of York, Heslington, NY YO10 5DD, United Kingdom
| | - Dominika Varga
- School of Psychology, University of Sussex, Brighton BN1 9RH, United Kingdom
| | - Jonathan Smallwood
- Department of Psychology, Queen's University, Kingston, ON K7L 3N6, Canada
| | - Elizabeth Jefferies
- Corresponding author: Department of Psychology, University of York, Heslington, NY YO10 5DD, United Kingdom.
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46
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Kaiser D, Jacobs AM, Cichy RM. Modelling brain representations of abstract concepts. PLoS Comput Biol 2022; 18:e1009837. [PMID: 35120139 PMCID: PMC8849470 DOI: 10.1371/journal.pcbi.1009837] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 02/16/2022] [Accepted: 01/14/2022] [Indexed: 11/18/2022] Open
Abstract
Abstract conceptual representations are critical for human cognition. Despite their importance, key properties of these representations remain poorly understood. Here, we used computational models of distributional semantics to predict multivariate fMRI activity patterns during the activation and contextualization of abstract concepts. We devised a task in which participants had to embed abstract nouns into a story that they developed around a given background context. We found that representations in inferior parietal cortex were predicted by concept similarities emerging in models of distributional semantics. By constructing different model families, we reveal the models’ learning trajectories and delineate how abstract and concrete training materials contribute to the formation of brain-like representations. These results inform theories about the format and emergence of abstract conceptual representations in the human brain. How do we conceive abstract concepts, like love, peace, or truth? In this study, we investigate how our brains support the activation and contextualization of such abstract concepts. We asked participants to embed abstract nouns into a coherent story while we recorded functional MRI. Using multivariate analysis techniques, we computed how similar different abstract concepts were represented during this task. We then modelled these neural similarities among concepts with computational models of distributional semantics which capture the words’ co-occurance statistics in large natural language corpora. Our results reveal a correspondence between the computational models and brain representations in the inferior parietal cortex. This correspondence held when the computational models were only trained on subsets of the corpora that contained as few as 100,000 sentences and only abstract or concrete words. Our findings establish a neural correlate of abstract concept representation in the inferior parietal cortex, and they provide a first characterization of the format of these representations.
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Affiliation(s)
- Daniel Kaiser
- Mathematical Institute, Department of Mathematics and Computer Science, Physics, Geography, Justus-Liebig-Universität Gießen, Gießen, Germany
- Center for Mind, Brain and Behavior (CMBB), Philipps-Universität Marburg and Justus-Liebig-Universität Gießen, Marburg, Germany
- Department of Psychology, University of York, York, United Kingdom
- * E-mail:
| | - Arthur M. Jacobs
- Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany
- Center for Cognitive Neuroscience Berlin, Freie Universität Berlin, Berlin, Germany
| | - Radoslaw M. Cichy
- Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
- Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany
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47
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Riegel M, Wierzba M, Wypych M, Ritchey M, Jednoróg K, Grabowska A, Vuilleumier P, Marchewka A. Distinct medial-tempora lobe mechanisms of encoding and amygdala-mediated memory reinstatement for disgust and fear. Neuroimage 2022; 251:118889. [PMID: 35065268 DOI: 10.1016/j.neuroimage.2022.118889] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 12/22/2021] [Accepted: 01/06/2022] [Indexed: 11/29/2022] Open
Abstract
Current models of episodic memory posit that retrieval involves the reenactment of encoding processes. Recent evidence has shown that this reinstatement process - indexed by subsequent encoding-retrieval similarity of brain activity patterns - is related to the activity in the hippocampus during encoding. However, we tend to re-experience emotional events in memory more richly than dull events. The role of amygdala - a critical hub of emotion processing - in reinstatement of emotional events was poorly understood. To investigate it, we leveraged a previously overlooked divergence in the role of amygdala in memory modulation by distinct emotions - disgust and fear. Here we used a novel paradigm in which participants encoded complex events (word pairs) and their memory was tested after 3 weeks, both phases during fMRI scanning. Using representational similarity analysis and univariate analyses, we show that the strength of amygdala activation during encoding was correlated with memory reinstatement of individual event representations in emotion-specific regions. Critically, amygdala modulated reinstatement more for disgust than fear. This was in line with other differences observed at the level of memory performance and neural mechanisms of encoding. Specifically, amygdala and perirhinal cortex were more involved during encoding of disgust-related events, whereas hippocampus and parahippocampal gyrus during encoding of fear-related events. Together, these findings shed a new light on the role of the amygdala and medial temporal lobe regions in encoding and reinstatement of specific emotional memories.
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Affiliation(s)
- Monika Riegel
- Laboratory of Brain Imaging, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Warsaw 02-093, Poland; Department of Psychology, Columbia University, New York 10027, United States of America; Centre interfacultaire de gérontologie et d'études des vulnerabilities, University of Geneva, CH-Geneva 1211, Switzerland.
| | - Małgorzata Wierzba
- Laboratory of Brain Imaging, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Warsaw 02-093, Poland
| | - Marek Wypych
- Laboratory of Brain Imaging, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Warsaw 02-093, Poland
| | - Maureen Ritchey
- Department of Psychology and Neuroscience, Boston College, Chestnut Hill, MA 02467, United States of America
| | - Katarzyna Jednoróg
- Laboratory of Brain Imaging, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Warsaw 02-093, Poland
| | - Anna Grabowska
- SWPS University of Social Sciences and Humanities, Warsaw 03-815, Poland
| | - Patrik Vuilleumier
- Department of Neuroscience, University Medical Center, Geneva CH-1211, Switzerland; Swiss Center for Affective Sciences, University of Geneva, Campus Biotech, CH-Geneva 1211, Switzerland; Geneva Neuroscience Center, University of Geneva, Geneva CH-1211, Switzerland
| | - Artur Marchewka
- Laboratory of Brain Imaging, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Warsaw 02-093, Poland
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Neudorf J, Gould L, Mickleborough MJS, Ekstrand C, Borowsky R. Unique, Shared, and Dominant Brain Activation in Visual Word Form Area and Lateral Occipital Complex during Reading and Picture Naming. Neuroscience 2022; 481:178-196. [PMID: 34800577 DOI: 10.1016/j.neuroscience.2021.11.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 11/08/2021] [Accepted: 11/10/2021] [Indexed: 11/17/2022]
Abstract
Identifying printed words and pictures concurrently is ubiquitous in daily tasks, and so it is important to consider the extent to which reading words and naming pictures may share a cognitive-neurophysiological functional architecture. Two functional magnetic resonance imaging (fMRI) experiments examined whether reading along the left ventral occipitotemporal region (vOT; often referred to as a visual word form area, VWFA) has activation that is overlapping with referent pictures (i.e., both conditions significant and shared, or with one significantly more dominant) or unique (i.e., one condition significant, the other not), and whether picture naming along the right lateral occipital complex (LOC) has overlapping or unique activation relative to referent words. Experiment 1 used familiar regular and exception words (to force lexical reading) and their corresponding pictures in separate naming blocks, and showed dominant activation for pictures in the LOC, and shared activation in the VWFA for exception words and their corresponding pictures (regular words did not elicit significant VWFA activation). Experiment 2 controlled for visual complexity by superimposing the words and pictures and instructing participants to either name the word or the picture, and showed primarily shared activation in the VWFA and LOC regions for both word reading and picture naming, with some dominant activation for pictures in the LOC. Overall, these results highlight the importance of including exception words to force lexical reading when comparing to picture naming, and the significant shared activation in VWFA and LOC serves to challenge specialized models of reading or picture naming.
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Affiliation(s)
- Josh Neudorf
- Cognitive Neuroscience Lab, Department of Psychology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Layla Gould
- Division of Neurosurgery, College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Marla J S Mickleborough
- Cognitive Neuroscience Lab, Department of Psychology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Chelsea Ekstrand
- Cognitive Neuroscience Lab, Department of Psychology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Ron Borowsky
- Cognitive Neuroscience Lab, Department of Psychology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada; Division of Neurosurgery, College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
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Jiang C, Wu X, Wang J, Li C, Luo G. Activation of CB1 pathway in the perirhinal cortex is necessary but not sufficient for destabilization of contextual fear memory in rats. Behav Brain Res 2022; 416:113573. [PMID: 34499934 DOI: 10.1016/j.bbr.2021.113573] [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: 06/03/2021] [Revised: 08/23/2021] [Accepted: 08/29/2021] [Indexed: 12/01/2022]
Abstract
According to the reconsolidation theory, memories can be modified through the destabilization-reconsolidation process. The rodent perirhinal cortex (PER; Brodmann areas 35 and 36) critically participates in the process of fear conditioning. Previous studies showed that some of the parahippocampal regions are critical for contextual fear memory reconsolidation. In our research, through a three-day paradigm of CFC, we showed that protein synthesis in PER of rats is required for memory reconsolidation, and activation of CB1 pathway is necessary but not sufficient in inducing memory destabilization. This result underlines parahippocampal regions in destabilization and reconsolidation process of fear memory besides amygdala and hippocampus.
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Affiliation(s)
- Che Jiang
- Department of Neurosurgery, General Hospital of Southern Theatre Command, Guangzhou, China.
| | - Xiaona Wu
- Department of Neurosurgery, General Hospital of Southern Theatre Command, Guangzhou, China
| | - Jiajia Wang
- Department of Neurosurgery, General Hospital of Southern Theatre Command, Guangzhou, China
| | - Chunyong Li
- Department of Neurosurgery, General Hospital of Southern Theatre Command, Guangzhou, China
| | - Gaoquan Luo
- Department of Neurosurgery, General Hospital of Southern Theatre Command, Guangzhou, China
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Wammes J, Norman KA, Turk-Browne N. Increasing stimulus similarity drives nonmonotonic representational change in hippocampus. eLife 2022; 11:e68344. [PMID: 34989336 PMCID: PMC8735866 DOI: 10.7554/elife.68344] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 08/09/2021] [Indexed: 12/16/2022] Open
Abstract
Studies of hippocampal learning have obtained seemingly contradictory results, with manipulations that increase coactivation of memories sometimes leading to differentiation of these memories, but sometimes not. These results could potentially be reconciled using the nonmonotonic plasticity hypothesis, which posits that representational change (memories moving apart or together) is a U-shaped function of the coactivation of these memories during learning. Testing this hypothesis requires manipulating coactivation over a wide enough range to reveal the full U-shape. To accomplish this, we used a novel neural network image synthesis procedure to create pairs of stimuli that varied parametrically in their similarity in high-level visual regions that provide input to the hippocampus. Sequences of these pairs were shown to human participants during high-resolution fMRI. As predicted, learning changed the representations of paired images in the dentate gyrus as a U-shaped function of image similarity, with neural differentiation occurring only for moderately similar images.
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Affiliation(s)
- Jeffrey Wammes
- Department of Psychology, Yale UniversityNew HavenUnited States
- Department of Psychology, Queen’s UniversityKingstonCanada
| | - Kenneth A Norman
- Department of Psychology, Princeton UniversityPrincetonUnited States
- Princeton Neuroscience Institute, Princeton UniversityPrincetonUnited States
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