1
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Dijksterhuis DE, Self MW, Possel JK, Peters JC, van Straaten ECW, Idema S, Baaijen JC, van der Salm SMA, Aarnoutse EJ, van Klink NCE, van Eijsden P, Hanslmayr S, Chelvarajah R, Roux F, Kolibius LD, Sawlani V, Rollings DT, Dehaene S, Roelfsema PR. Pronouns reactivate conceptual representations in human hippocampal neurons. Science 2024; 385:1478-1484. [PMID: 39325896 DOI: 10.1126/science.adr2813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Accepted: 08/30/2024] [Indexed: 09/28/2024]
Abstract
During discourse comprehension, every new word adds to an evolving representation of meaning that accumulates over consecutive sentences and constrains the next words. To minimize repetition and utterance length, languages use pronouns, like the word "she," to refer to nouns and phrases that were previously introduced. It has been suggested that language comprehension requires that pronouns activate the same neuronal representations as the nouns themselves. We recorded from individual neurons in the human hippocampus during a reading task. Cells that were selective to a particular noun were later reactivated by pronouns that refer to the cells' preferred noun. These results imply that concept cells contribute to a rapid and dynamic semantic memory network that is recruited during language comprehension.
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Affiliation(s)
- D E Dijksterhuis
- Department of Vision and Cognition, Netherlands Institute for Neuroscience, Amsterdam, Netherlands
| | - M W Self
- Department of Vision and Cognition, Netherlands Institute for Neuroscience, Amsterdam, Netherlands
| | - J K Possel
- Department of Vision and Cognition, Netherlands Institute for Neuroscience, Amsterdam, Netherlands
| | - J C Peters
- Department of Vision and Cognition, Netherlands Institute for Neuroscience, Amsterdam, Netherlands
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - E C W van Straaten
- Department of Neurosurgery, Amsterdam University Medical Centre location VUmc, Amsterdam, Netherlands
- Academic Center for Epileptology Maastricht University Medical Center and Kempenhaeghe, Maastricht, Heeze, Netherlands
- Department of Neurology and Clinical Neurophysiology, Amsterdam University Medical Center, Amsterdam, Netherlands
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
| | - S Idema
- Department of Neurosurgery, Amsterdam University Medical Centre location VUmc, Amsterdam, Netherlands
| | - J C Baaijen
- Department of Neurosurgery, Amsterdam University Medical Centre location VUmc, Amsterdam, Netherlands
| | - S M A van der Salm
- Department of Neurology and Neurosurgery, University Medical Centre Utrecht, Utrecht, Netherlands
| | - E J Aarnoutse
- Department of Neurology and Neurosurgery, University Medical Centre Utrecht, Utrecht, Netherlands
| | - N C E van Klink
- Department of Neurology and Neurosurgery, University Medical Centre Utrecht, Utrecht, Netherlands
| | - P van Eijsden
- Department of Neurology and Neurosurgery, University Medical Centre Utrecht, Utrecht, Netherlands
| | - S Hanslmayr
- Centre for Cognitive Neuroimaging, School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK
| | - R Chelvarajah
- Complex epilepsy and surgery service, Queen Elizabeth Hospital, Birmingham, UK
- School of Psychology, University of Birmingham, Birmingham, UK
| | - F Roux
- School of Psychology, University of Birmingham, Birmingham, UK
| | - L D Kolibius
- School of Psychology, University of Birmingham, Birmingham, UK
- Columbia University, Department of Biomedical Engineering, New York, NY, USA
| | - V Sawlani
- Complex epilepsy and surgery service, Queen Elizabeth Hospital, Birmingham, UK
- School of Psychology, University of Birmingham, Birmingham, UK
| | - D T Rollings
- Complex epilepsy and surgery service, Queen Elizabeth Hospital, Birmingham, UK
| | - S Dehaene
- Université Paris Saclay, INSERM, CEA, Cognitive Neuroimaging Unit, NeuroSpin center, Saclay, France
- Collège de France, Paris, France
| | - P R Roelfsema
- Department of Vision and Cognition, Netherlands Institute for Neuroscience, Amsterdam, Netherlands
- Department of Integrative Neurophysiology, VU University, Amsterdam, Netherlands
- Department of Neurosurgery, Amsterdam University Medical Centre, Amsterdam, Netherlands
- Laboratory of Visual Brain Therapy, Sorbonne Université, Institut National de la Santé et de la Recherche Médicale, Centre National de la Recherche Scientifique, Institut de la Vision, Paris, France
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2
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Mackay S, Reber TP, Bausch M, Boström J, Elger CE, Mormann F. Concept and location neurons in the human brain provide the 'what' and 'where' in memory formation. Nat Commun 2024; 15:7926. [PMID: 39256373 PMCID: PMC11387663 DOI: 10.1038/s41467-024-52295-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 08/29/2024] [Indexed: 09/12/2024] Open
Abstract
Our brains create new memories by capturing the 'who/what', 'where' and 'when' of everyday experiences. On a neuronal level, mechanisms facilitating a successful transfer into episodic memory are still unclear. We investigated this by measuring single neuron activity in the human medial temporal lobe during encoding of item-location associations. While previous research has found predictive effects in population activity in human MTL structures, we could attribute such effects to two specialized sub-groups of neurons: concept cells in the hippocampus, amygdala and entorhinal cortex (EC), and a second group of parahippocampal location-selective neurons. In both item- and location-selective populations, firing rates were significantly higher during successfully encoded trials. These findings are in line with theories of hippocampal indexing, since selective index neurons may act as pointers to neocortical representations. Overall, activation of distinct populations of neurons could directly support the connection of the 'what' and 'where' of episodic memory.
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Affiliation(s)
- Sina Mackay
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Thomas P Reber
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
- Faculty of Psychology, UniDistance Suisse, Brig, Switzerland
| | - Marcel Bausch
- Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Jan Boström
- Department of Neurosurgery, University Hospital Bonn, Bonn, Germany
| | | | - Florian Mormann
- Department of Epileptology, University Hospital Bonn, Bonn, Germany.
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3
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Abbaspoor S, Hoffman KL. Circuit dynamics of superficial and deep CA1 pyramidal cells and inhibitory cells in freely moving macaques. Cell Rep 2024; 43:114519. [PMID: 39018243 DOI: 10.1016/j.celrep.2024.114519] [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: 01/21/2024] [Revised: 05/23/2024] [Accepted: 07/02/2024] [Indexed: 07/19/2024] Open
Abstract
Diverse neuron classes in hippocampal CA1 have been identified through the heterogeneity of their cellular/molecular composition. How these classes relate to hippocampal function and the network dynamics that support cognition in primates remains unclear. Here, we report inhibitory functional cell groups in CA1 of freely moving macaques whose diverse response profiles to network states and each other suggest distinct and specific roles in the functional microcircuit of CA1. In addition, pyramidal cells that were grouped by their superficial or deep layer position differed in firing rate, burstiness, and sharp-wave ripple-associated firing. They also showed strata-specific spike-timing interactions with inhibitory cell groups, suggestive of segregated neural populations. Furthermore, ensemble recordings revealed that cell assemblies were preferentially organized according to these strata. These results suggest that hippocampal CA1 in freely moving macaques bears a sublayer-specific circuit organization that may shape its role in cognition.
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Affiliation(s)
- Saman Abbaspoor
- Department of Psychology, Vanderbilt Vision Research Center, Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA.
| | - Kari L Hoffman
- Department of Psychology, Vanderbilt Vision Research Center, Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
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4
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Daume J, Kamiński J, Salimpour Y, Anderson WS, Valiante TA, Mamelak AN, Rutishauser U. Persistent activity during working memory maintenance predicts long-term memory formation in the human hippocampus. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.15.603630. [PMID: 39071325 PMCID: PMC11275810 DOI: 10.1101/2024.07.15.603630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
Working Memory (WM) and Long-Term Memory (LTM) are often viewed as separate cognitive systems. Little is known about how these systems interact when forming memories. We recorded single neurons in the human medial temporal lobe while patients maintained novel items in WM and a subsequent recognition memory test for the same items. In the hippocampus but not the amygdala, the level of WM content-selective persist activity during WM maintenance was predictive of whether the item was later recognized with high confidence or forgotten. In contrast, visually evoked activity in the same cells was not predictive of LTM formation. During LTM retrieval, memory-selective neurons responded more strongly to familiar stimuli for which persistent activity was high while they were maintained in WM. Our study suggests that hippocampal persistent activity of the same cell supports both WM maintenance and LTM encoding, thereby revealing a common single-neuron component of these two memory systems.
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5
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Abbaspoor S, Hoffman KL. Circuit dynamics of superficial and deep CA1 pyramidal cells and inhibitory cells in freely-moving macaques. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.12.06.570369. [PMID: 38106053 PMCID: PMC10723348 DOI: 10.1101/2023.12.06.570369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Diverse neuron classes in hippocampal CA1 have been identified through the heterogeneity of their cellular/molecular composition. How these classes relate to hippocampal function and the network dynamics that support cognition in primates remains unclear. Here we report inhibitory functional cell groups in CA1 of freely-moving macaques whose diverse response profiles to network states and each other suggest distinct and specific roles in the functional microcircuit of CA1. In addition, pyramidal cells that were segregated into superficial and deep layers differed in firing rate, burstiness, and sharp-wave ripple-associated firing. They also showed strata-specific spike-timing interactions with inhibitory cell groups, suggestive of segregated neural populations. Furthermore, ensemble recordings revealed that cell assemblies were preferentially organized according to these strata. These results suggest sublayer-specific circuit organization in hippocampal CA1 of the freely-moving macaques that may underlie its role in cognition.
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Affiliation(s)
- S Abbaspoor
- Department of Psychology, Vanderbilt Vision Research Center, Vanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee
| | - K L Hoffman
- Department of Psychology, Vanderbilt Vision Research Center, Vanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee
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6
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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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7
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Reber TP, Mackay S, Bausch M, Kehl MS, Borger V, Surges R, Mormann F. Single-neuron mechanisms of neural adaptation in the human temporal lobe. Nat Commun 2023; 14:2496. [PMID: 37120437 PMCID: PMC10148801 DOI: 10.1038/s41467-023-38190-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 04/13/2023] [Indexed: 05/01/2023] Open
Abstract
A central function of the human brain is to adapt to new situations based on past experience. Adaptation is reflected behaviorally by shorter reaction times to repeating or similar stimuli, and neurophysiologically by reduced neural activity in bulk-tissue measurements with fMRI or EEG. Several potential single-neuron mechanisms have been hypothesized to cause this reduction of activity at the macroscopic level. We here explore these mechanisms using an adaptation paradigm with visual stimuli bearing abstract semantic similarity. We recorded intracranial EEG (iEEG) simultaneously with spiking activity of single neurons in the medial temporal lobes of 25 neurosurgical patients. Recording from 4917 single neurons, we demonstrate that reduced event-related potentials in the macroscopic iEEG signal are associated with a sharpening of single-neuron tuning curves in the amygdala, but with an overall reduction of single-neuron activity in the hippocampus, entorhinal cortex, and parahippocampal cortex, consistent with fatiguing in these areas.
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Affiliation(s)
- Thomas P Reber
- Faculty of Psychology, UniDistance Suisse, Brig, Switzerland.
- Department of Epileptology, University of Bonn Medical Centre, Bonn, Germany.
| | - Sina Mackay
- Department of Epileptology, University of Bonn Medical Centre, Bonn, Germany
| | - Marcel Bausch
- Department of Epileptology, University of Bonn Medical Centre, Bonn, Germany
| | - Marcel S Kehl
- Department of Epileptology, University of Bonn Medical Centre, Bonn, Germany
| | - Valeri Borger
- Department of Neurosurgery, University of Bonn Medical Centre, Bonn, Germany
| | - Rainer Surges
- Department of Epileptology, University of Bonn Medical Centre, Bonn, Germany
| | - Florian Mormann
- Department of Epileptology, University of Bonn Medical Centre, Bonn, Germany
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8
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Roelfsema PR. Solving the binding problem: Assemblies form when neurons enhance their firing rate-they don't need to oscillate or synchronize. Neuron 2023; 111:1003-1019. [PMID: 37023707 DOI: 10.1016/j.neuron.2023.03.016] [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: 01/15/2023] [Revised: 02/25/2023] [Accepted: 03/09/2023] [Indexed: 04/08/2023]
Abstract
When we look at an image, its features are represented in our visual system in a highly distributed manner, calling for a mechanism that binds them into coherent object representations. There have been different proposals for the neuronal mechanisms that can mediate binding. One hypothesis is that binding is achieved by oscillations that synchronize neurons representing features of the same perceptual object. This view allows separate communication channels between different brain areas. Another hypothesis is that binding of features that are represented in different brain regions occurs when the neurons in these areas that respond to the same object simultaneously enhance their firing rate, which would correspond to directing object-based attention to these features. This review summarizes evidence in favor of and against these two hypotheses, examining the neuronal correlates of binding and assessing the time course of perceptual grouping. I conclude that enhanced neuronal firing rates bind features into coherent object representations, whereas oscillations and synchrony are unrelated to binding.
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Affiliation(s)
- Pieter R Roelfsema
- Department of Vision & Cognition, Netherlands Institute for Neuroscience (KNAW), 1105 BA Amsterdam, the Netherlands; Department of Integrative Neurophysiology, VU University, De Boelelaan 1085, 1081 HV Amsterdam, the Netherlands; Department of Psychiatry, Academic Medical Centre, Postbus 22660, 1100 DD Amsterdam, the Netherlands; Laboratory of Visual Brain Therapy, Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, 75012 Paris, France.
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9
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Quian Quiroga R. An integrative view of human hippocampal function: Differences with other species and capacity considerations. Hippocampus 2023; 33:616-634. [PMID: 36965048 DOI: 10.1002/hipo.23527] [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: 08/30/2022] [Revised: 02/11/2023] [Accepted: 03/09/2023] [Indexed: 03/27/2023]
Abstract
We describe an integrative model that encodes associations between related concepts in the human hippocampal formation, constituting the skeleton of episodic memories. The model, based on partially overlapping assemblies of "concept cells," contrast markedly with the well-established notion of pattern separation, which relies on conjunctive, context dependent single neuron responses, instead of the invariant, context independent responses found in the human hippocampus. We argue that the model of partially overlapping assemblies is better suited to cope with memory capacity limitations, that the finding of different types of neurons and functions in this area is due to a flexible and temporary use of the extraordinary machinery of the hippocampus to deal with the task at hand, and that only information that is relevant and frequently revisited will consolidate into long-term hippocampal representations, using partially overlapping assemblies. Finally, we propose that concept cells are uniquely human and that they may constitute the neuronal underpinnings of cognitive abilities that are much further developed in humans compared to other species.
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Affiliation(s)
- Rodrigo Quian Quiroga
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
- Centre for Systems Neuroscience, University of Leicester, Leicester, UK
- Department of neurosurgery, clinical neuroscience center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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10
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Wirtshafter HS, Disterhoft JF. Place cells are nonrandomly clustered by field location in CA1 hippocampus. Hippocampus 2023; 33:65-84. [PMID: 36519700 PMCID: PMC9877199 DOI: 10.1002/hipo.23489] [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: 05/17/2022] [Revised: 11/26/2022] [Accepted: 12/04/2022] [Indexed: 12/23/2022]
Abstract
A challenge in both modern and historic neuroscience has been achieving an understanding of neuron circuits, and determining the computational and organizational principles that underlie these circuits. Deeper understanding of the organization of brain circuits and cell types, including in the hippocampus, is required for advances in behavioral and cognitive neuroscience, as well as for understanding principles governing brain development and evolution. In this manuscript, we pioneer a new method to analyze the spatial clustering of active neurons in the hippocampus. We use calcium imaging and a rewarded navigation task to record from 100 s of place cells in the CA1 of freely moving rats. We then use statistical techniques developed for and in widespread use in geographic mapping studies, global Moran's I, and local Moran's I to demonstrate that cells that code for similar spatial locations tend to form small spatial clusters. We present evidence that this clustering is not the result of artifacts from calcium imaging, and show that these clusters are primarily formed by cells that have place fields around previously rewarded locations. We go on to show that, although cells with similar place fields tend to form clusters, there is no obvious topographic mapping of environmental location onto the hippocampus, such as seen in the visual cortex. Insights into hippocampal organization, as in this study, can elucidate mechanisms underlying motivational behaviors, spatial navigation, and memory formation.
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Affiliation(s)
- Hannah S. Wirtshafter
- Department of Neuroscience, Northwestern University Feinberg School of Medicine, 310 E. Superior St., Morton 5-660, Chicago, IL 60611
| | - John F. Disterhoft
- Department of Neuroscience, Northwestern University Feinberg School of Medicine, 310 E. Superior St., Morton 5-660, Chicago, IL 60611
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11
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Boran E, Hilfiker P, Stieglitz L, Sarnthein J, Klaver P. Persistent neuronal firing in the medial temporal lobe supports performance and workload of visual working memory in humans. Neuroimage 2022; 254:119123. [PMID: 35321857 DOI: 10.1016/j.neuroimage.2022.119123] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 03/18/2022] [Accepted: 03/19/2022] [Indexed: 11/25/2022] Open
Abstract
The involvement of the medial temporal lobe (MTL) in working memory is controversially discussed. Recent findings suggest that persistent neural firing in the hippocampus during maintenance in verbal working memory is associated with workload. Here, we recorded single neuron firing in 13 epilepsy patients (7 male) while they performed a visual working memory task. The number of coloured squares in the stimulus set determined the workload of the trial. Performance was almost perfect for low workload (1 and 2 squares) and dropped at high workload (4 and 6 squares), suggesting that high workload exceeded working memory capacity. We identified maintenance neurons in MTL neurons that showed persistent firing during the maintenance period. More maintenance neurons were found in the hippocampus for trials with correct compared to incorrect performance. Maintenance neurons increased and decreased firing in the hippocampus and increased firing in the entorhinal cortex for high compared to low workload. Population firing predicted workload particularly during the maintenance period. Prediction accuracy of workload based on single-trial activity during maintenance was strongest for neurons in the entorhinal cortex and hippocampus. The data suggest that persistent neural firing in the MTL reflects a domain-general process of maintenance supporting performance and workload of multiple items in working memory below and beyond working memory capacity. Persistent neural firing during maintenance in the entorhinal cortex may be associated with its preference to process visual-spatial arrays.
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Affiliation(s)
- Ece Boran
- Department of Neurosurgery, University Hospital Zurich (USZ), University of Zurich, 8091 Zurich, Switzerland
| | | | - Lennart Stieglitz
- Department of Neurosurgery, University Hospital Zurich (USZ), University of Zurich, 8091 Zurich, Switzerland
| | - Johannes Sarnthein
- Department of Neurosurgery, University Hospital Zurich (USZ), University of Zurich, 8091 Zurich, Switzerland; Neuroscience Center Zurich, ETH Zurich, 8057 Zurich, Switzerland.
| | - Peter Klaver
- University of Teacher Education in Special Needs, 8050 Zurich, Switzerland; Institute of Psychology, University of Zurich, 8050 Zurich, Switzerland; School of Psychology, University of Surrey, GU2 7XH Guildford, UK.
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12
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Zheng J, Schjetnan AGP, Yebra M, Gomes BA, Mosher CP, Kalia SK, Valiante TA, Mamelak AN, Kreiman G, Rutishauser U. Neurons detect cognitive boundaries to structure episodic memories in humans. Nat Neurosci 2022; 25:358-368. [PMID: 35260859 PMCID: PMC8966433 DOI: 10.1038/s41593-022-01020-w] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 01/19/2022] [Indexed: 11/11/2022]
Abstract
While experience is continuous, memories are organized as discrete events. Cognitive boundaries are thought to segment experience and structure memory, but how this process is implemented remains unclear. We recorded the activity of single neurons in the human medial temporal lobe during the formation and retrieval of memories with complex narratives. Here we show that neurons responded to abstract cognitive boundaries between different episodes. Boundary-induced neural state changes during encoding predicted subsequent recognition accuracy but impaired event order memory, mirroring a fundamental behavioral tradeoff between content and time memory. Furthermore, the neural state following boundaries was reinstated during both successful retrieval and false memories. These findings reveal a neuronal substrate for detecting cognitive boundaries that transform experience into mnemonic episodes and structure mental time travel during retrieval.
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Affiliation(s)
- Jie Zheng
- Department of Ophthalmology, Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Andrea G P Schjetnan
- Krembil Brain Institute and Division of Neurosurgery, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada
| | - Mar Yebra
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Bernard A Gomes
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Clayton P Mosher
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Suneil K Kalia
- Krembil Brain Institute and Division of Neurosurgery, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada
| | - Taufik A Valiante
- Krembil Brain Institute and Division of Neurosurgery, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada.,Department of Surgery (Neurosurgery), Institute of Biomedical Engineering, and Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada.,Max Planck-University of Toronto Center for Neural Science and Technology, University of Toronto, Toronto, Ontario, Canada.,Center for Advancing Neurotechnological Innovation to Application, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Adam N Mamelak
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Gabriel Kreiman
- Department of Ophthalmology, Children's Hospital, Harvard Medical School, Boston, MA, USA. .,Center for Brains, Minds and Machines, Cambridge, MA, USA.
| | - Ueli Rutishauser
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA. .,Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA. .,Center for Neural Science and Medicine, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA. .,Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
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13
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Kutter EF, Boström J, Elger CE, Nieder A, Mormann F. Neuronal codes for arithmetic rule processing in the human brain. Curr Biol 2022; 32:1275-1284.e4. [DOI: 10.1016/j.cub.2022.01.054] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Revised: 12/20/2021] [Accepted: 01/20/2022] [Indexed: 11/25/2022]
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