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Research Articles, Systems/Circuits

Electrophysiological signatures of visual recognition memory across all layers of mouse V1

Dustin J. Hayden, Peter S.B. Finnie, Aurore Thomazeau, Alyssa Y. Li, Samuel F. Cooke and Mark F. Bear
Journal of Neuroscience 15 September 2023, JN-RM-0090-23; DOI: https://doi.org/10.1523/JNEUROSCI.0090-23.2023
Dustin J. Hayden
1The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA 02139
2Present address: Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Norwegian University of Science and Technology, Trondheim, Norway 7020
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Peter S.B. Finnie
1The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA 02139
3Present address: Department of Pharmacology and Toxicology, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada M5S 1A8
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Aurore Thomazeau
1The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA 02139
4Present address: Brain Repair and Integrative Neuroscience Program, Centre for Research in Neuroscience, Departments of Medicine, and Neurology & Neurosurgery, The Research Institute of the McGill University Health Centre, Montreal General Hospital, Montreal, Quebec, Canada H3G 1A4
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Alyssa Y. Li
1The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA 02139
5Biochemistry Program, Wellesley College, Wellesley, MA, USA 02481
6Present address: Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada M5S 1A8
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Samuel F. Cooke
1The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA 02139
7Present address: The Medical Research Council Centre for Neurodevelopmental Disorders (MRC CNDD) and The Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK SE5 8AF
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Mark F. Bear
1The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA 02139
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Abstract

In mouse primary visual cortex (V1), familiar stimuli evoke significantly altered responses when compared to novel stimuli. This stimulus-selective response plasticity (SRP) was described originally as an increase in the magnitude of visual evoked potentials (VEPs) elicited in layer 4 (L4) by familiar phase-reversing grating stimuli. SRP is dependent on NMDA receptors (NMDAR) and has been hypothesized to reflect potentiation of thalamocortical synapses in L4. However, recent evidence indicates that the synaptic modifications that manifest as SRP do not occur on L4 principal cells. To shed light on where and how SRP is induced and expressed in male and female mice, the present study had three related aims: (1) to confirm that NMDAR are required specifically in glutamatergic principal neurons of V1, (2) to investigate the consequences of deleting NMDAR specifically in L6, and (3) to use translaminar electrophysiological recordings to characterize SRP expression in different layers of V1. We find that knockout of NMDAR in L6 principal neurons disrupts SRP. Current-source density analysis of the VEP depth profile shows augmentation of short latency current sinks in layers 3, 4 and 6 in response to phase reversals of familiar stimuli. Multiunit recordings demonstrate that increased peak firing occurs in response to phase reversals of familiar stimuli across all layers, but that activity between phase reversals is suppressed. Together, these data reveal important aspects of the underlying phenomenology of SRP and generate new hypotheses for the expression of experience-dependent plasticity in V1.

Significance Statement

Repeated exposure to stimuli that portend neither reward nor punishment leads to behavioral habituation, enabling organisms to dedicate attention to novel or otherwise significant features of the environment. The neural basis of this process, which is so often dysregulated in neurological and psychiatric disorders, remains poorly understood. Learning and memory of stimulus familiarity can be studied in mouse visual cortex by measuring electrophysiological responses to simple phase-reversing grating stimuli. The current study advances knowledge of this process by documenting changes in visual evoked potentials, neuronal spiking activity, and oscillations in the local field potentials across all layers of mouse visual cortex. In addition, we identify a key contribution of a specific population of neurons in layer 6 of visual cortex.

Footnotes

  • The authors declare no competing financial interests.

  • We acknowledge the invaluable support of Arnold Heynen, Ming-fai Fong, Nina Palisano, Jessica Buckey, Athene Wilson-Glover, Kiki Chu, and Erin Hickey. Feng-Ju Weng, Maia Lee, Julie (Heejung) Kim, and Christian Candler contributed to collection of pilot and control data related to this project. The research was supported by NIH grant R01 EY023037, the Picower Institute Innovation Fund, and the Picower Fellows program. Samuel Cooke would also like to acknowledge current funding from the Biotechnology and Biological Sciences Research Council (BBSRC) grant (BB/S008276/1).

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

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Electrophysiological signatures of visual recognition memory across all layers of mouse V1
Dustin J. Hayden, Peter S.B. Finnie, Aurore Thomazeau, Alyssa Y. Li, Samuel F. Cooke, Mark F. Bear
Journal of Neuroscience 15 September 2023, JN-RM-0090-23; DOI: 10.1523/JNEUROSCI.0090-23.2023

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Electrophysiological signatures of visual recognition memory across all layers of mouse V1
Dustin J. Hayden, Peter S.B. Finnie, Aurore Thomazeau, Alyssa Y. Li, Samuel F. Cooke, Mark F. Bear
Journal of Neuroscience 15 September 2023, JN-RM-0090-23; DOI: 10.1523/JNEUROSCI.0090-23.2023
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