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Ceccarelli F, Londei F, Arena G, Genovesio A, Ferrucci L. Home-Cage Training for Non-Human Primates: An Opportunity to Reduce Stress and Study Natural Behavior in Neurophysiology Experiments. Animals (Basel) 2025; 15:1340. [PMID: 40362154 PMCID: PMC12071079 DOI: 10.3390/ani15091340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2025] [Revised: 04/29/2025] [Accepted: 05/02/2025] [Indexed: 05/15/2025] Open
Abstract
Research involving non-human primates remains a cornerstone in fields such as biomedical research and systems neuroscience. However, the daily routines of laboratory work can induce stress in these animals, potentially compromising their well-being and the reliability of experimental outcomes. To address this, many laboratories have adopted home-cage training protocols to mitigate stress caused by routine procedures such as transport and restraint-a factor that can impact both macaque physiology and experimental validity. This review explores the primary methods and experimental setups employed in home-cage training, highlighting their potential not only to address ethical concerns surrounding animal welfare but also to reduce training time and risks for the researchers. Furthermore, by combining home-cage training with wireless recordings, it becomes possible to expand research opportunities in behavioral neurophysiology with non-human primates. This approach enables the study of various cognitive processes in more naturalistic settings, thereby increasing the ecological validity of scientific findings through innovative experimental designs that thoroughly investigate the complexity of the animals' natural behavior.
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Affiliation(s)
- Francesco Ceccarelli
- Department of Physiology and Pharmacology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy; (F.C.); (F.L.); (G.A.)
| | - Fabrizio Londei
- Department of Physiology and Pharmacology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy; (F.C.); (F.L.); (G.A.)
| | - Giulia Arena
- Department of Physiology and Pharmacology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy; (F.C.); (F.L.); (G.A.)
- Institute of Biochemistry and Cell Biology (IBBC), National Research Council of Italy (CNR), Via Ramarini 32, Monterotondo Scalo, 00015 Rome, Italy
- Behavioral Neuroscience PhD Program, Sapienza University, 00185 Rome, Italy
| | - Aldo Genovesio
- Department of Pharmaceutical Sciences, University of Piemonte Orientale, 28100 Novara, Italy
| | - Lorenzo Ferrucci
- Department of Physiology and Pharmacology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy; (F.C.); (F.L.); (G.A.)
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2
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Lacal I, Das A, Logiaco L, Molano-Mazón M, Schwaner MJ, Trach JE. Emerging perspectives for the study of the neural basis of motor behaviour. Eur J Neurosci 2024; 60:6342-6356. [PMID: 39364639 DOI: 10.1111/ejn.16553] [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: 07/22/2024] [Revised: 09/07/2024] [Accepted: 09/16/2024] [Indexed: 10/05/2024]
Abstract
The 33rd Annual Meeting of the Society for the Neural Control of Movement (NCM) brought together over 500 experts to discuss recent advancements in motor control. This article highlights key topics from the conference, including the foundational mechanisms of motor control, the ongoing debate over the context-dependency of feedforward and feedback processes, and the interplay between motor and cognitive functions in learning, memory, and decision-making. It also presents innovative methods for studying movement in complex, real-world environments.
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Affiliation(s)
- Irene Lacal
- Sensorimotor Group, German Primate Center, Göttingen, Germany
- Leibniz ScienceCampus Primate Cognition, Göttingen, Germany
| | - Anwesha Das
- Faculty of Medicine, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
- Department of Behavioral Neurology, Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Laureline Logiaco
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Boston, Massachusetts, USA
| | | | - M Janneke Schwaner
- Department of Movement Sciences, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Juliana E Trach
- Department of Psychology, Yale University, New Haven, Connecticut, USA
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3
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Leopold DA. The big mixup: Neural representation during natural modes of primate visual behavior. Curr Opin Neurobiol 2024; 88:102913. [PMID: 39214044 PMCID: PMC11392606 DOI: 10.1016/j.conb.2024.102913] [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: 05/15/2024] [Revised: 08/06/2024] [Accepted: 08/07/2024] [Indexed: 09/04/2024]
Abstract
The primate brain has evolved specialized visual capacities to navigate complex physical and social environments. Researchers studying cortical circuits underlying these capacities have traditionally favored the use of simplified tasks and brief stimulus presentations in order to isolate cognitive variables with tight experimental control. As a result, operational theories about visual brain function have come to emphasize feature detection, hierarchical stimulus encoding, top-down task modulation, and functional segregation in distinct cortical areas. Recently, however, experimental paradigms combining natural behavior with electrophysiological recordings have begun to offer a distinctly different portrait of how the brain takes in and analyzes its visual surroundings. The present article reviews recent work in this area, highlighting some of the more surprising findings in domains of social vision and spatial navigation along with shifts in thinking that have begun to emanate from this approach.
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Affiliation(s)
- David A Leopold
- Section on Cognitive Neurophysiology and Imaging, Systems Neurodevelopment Laboratory, National Institute of Mental Health, Bethesda, MD 20892, USA; National Institute of Neurological Disorders and Stroke, Bethesda, MD 20892, USA.
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4
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Yurimoto T, Seki F, Yamada A, Okajima J, Yambe T, Takewa Y, Kamioka M, Inoue T, Inoue Y, Sasaki E. Development of a noninvasive olfactory stimulation fMRI system in marmosets. Sci Rep 2024; 14:17830. [PMID: 39090331 PMCID: PMC11294473 DOI: 10.1038/s41598-024-68508-2] [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: 04/19/2024] [Accepted: 07/24/2024] [Indexed: 08/04/2024] Open
Abstract
Olfactory dysfunction is associated with aging and the earliest stages of neurodegenerative diseases, such as Alzheimer's and Parkinson's diseases; it is thought to be an early biomarker of cognitive decline. In marmosets, a small non-human primate model used in brain research, olfactory pathway activity during olfactory stimulation has not been well studied because of the difficulty in clearly switching olfactory stimuli inside a narrow MRI. Here, we developed an olfactory-stimulated fMRI system using a small-aperture MRI machine. The olfactory presentation system consisted of two tubes, one for supply and one for suction of olfactory stimulants and a balloon valve. A balloon valve installed in the air supply tube controlled the presentation of the olfactory stimulant, which enabled sharp olfactory stimulation within MRI, such as 30 s of stimulation repeated five times at five-minute intervals. The olfactory stimulation system was validated in vivo and in a simulated system. fMRI analysis showed a rapid increase in signal values within 30 s of olfactory stimulation in eight regions related to the sense of smell. As these regions include those associated with Alzheimer's and Parkinson's diseases, olfactory stimulation fMRI may be useful in clarifying the relationship between olfactory dysfunction and dementia in non-human primates.
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Affiliation(s)
- Terumi Yurimoto
- Department of Marmoset Biology and Medicine, Central Institute for Experimental Medicine and Life Science, Kawasaki, Japan
| | - Fumiko Seki
- Bioimaging Center, Central Institute for Experimental Medicine and Life Science, Kawasaki, Japan
| | - Akihiro Yamada
- Department of Clinical Engineering, Komatsu University, Komatsu, Japan
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Tomoyuki Yambe
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yoshiaki Takewa
- Advanced Medical Engineering Research Center, Asahikawa Medical University, Asahikawa, Japan
| | - Michiko Kamioka
- Department of Marmoset Biology and Medicine, Central Institute for Experimental Medicine and Life Science, Kawasaki, Japan
| | - Takashi Inoue
- Department of Marmoset Biology and Medicine, Central Institute for Experimental Medicine and Life Science, Kawasaki, Japan
- Faculty of Veterinary Medicine, Okayama University of Science, Imabari, Japan
| | - Yusuke Inoue
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
- Advanced Medical Engineering Research Center, Asahikawa Medical University, Asahikawa, Japan.
| | - Erika Sasaki
- Department of Marmoset Biology and Medicine, Central Institute for Experimental Medicine and Life Science, Kawasaki, Japan.
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5
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Di Tullio RW, Wei L, Balasubramanian V. Slow and steady: auditory features for discriminating animal vocalizations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.20.599962. [PMID: 39005308 PMCID: PMC11244870 DOI: 10.1101/2024.06.20.599962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
We propose that listeners can use temporal regularities - spectro-temporal correlations that change smoothly over time - to discriminate animal vocalizations within and between species. To test this idea, we used Slow Feature Analysis (SFA) to find the most temporally regular components of vocalizations from birds (blue jay, house finch, American yellow warbler, and great blue heron), humans (English speakers), and rhesus macaques. We projected vocalizations into the learned feature space and tested intra-class (same speaker/species) and inter-class (different speakers/species) auditory discrimination by a trained classifier. We found that: 1) Vocalization discrimination was excellent (> 95%) in all cases; 2) Performance depended primarily on the ~10 most temporally regular features; 3) Most vocalizations are dominated by ~10 features with high temporal regularity; and 4) These regular features are highly correlated with the most predictable components of animal sounds.
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Affiliation(s)
- Ronald W Di Tullio
- David Rittenhouse Laboratory, Department of Physics and Astronomy, University of Pennsylvania, USA
- Computational Neuroscience Initiative, University of Pennsylvania, USA
| | - Linran Wei
- David Rittenhouse Laboratory, Department of Physics and Astronomy, University of Pennsylkvania, USA
| | - Vijay Balasubramanian
- David Rittenhouse Laboratory, Department of Physics and Astronomy, University of Pennsylvania, USA
- Computational Neuroscience Initiative, University of Pennsylvania, USA
- Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA
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6
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Cisek P, Green AM. Toward a neuroscience of natural behavior. Curr Opin Neurobiol 2024; 86:102859. [PMID: 38583263 DOI: 10.1016/j.conb.2024.102859] [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: 11/24/2023] [Accepted: 03/04/2024] [Indexed: 04/09/2024]
Abstract
One of the most exciting new developments in systems neuroscience is the progress being made toward neurophysiological experiments that move beyond simplified laboratory settings and address the richness of natural behavior. This is enabled by technological advances such as wireless recording in freely moving animals, automated quantification of behavior, and new methods for analyzing large data sets. Beyond new empirical methods and data, however, there is also a need for new theories and concepts to interpret that data. Such theories need to address the particular challenges of natural behavior, which often differ significantly from the scenarios studied in traditional laboratory settings. Here, we discuss some strategies for developing such novel theories and concepts and some example hypotheses being proposed.
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Affiliation(s)
- Paul Cisek
- Department of Neuroscience, University of Montréal, Montréal, Québec, Canada.
| | - Andrea M Green
- Department of Neuroscience, University of Montréal, Montréal, Québec, Canada
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7
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Testard C, Tremblay S, Parodi F, DiTullio RW, Acevedo-Ithier A, Gardiner KL, Kording K, Platt ML. Neural signatures of natural behaviour in socializing macaques. Nature 2024; 628:381-390. [PMID: 38480888 DOI: 10.1038/s41586-024-07178-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 02/07/2024] [Indexed: 03/18/2024]
Abstract
Our understanding of the neurobiology of primate behaviour largely derives from artificial tasks in highly controlled laboratory settings, overlooking most natural behaviours that primate brains evolved to produce1-3. How primates navigate the multidimensional social relationships that structure daily life4 and shape survival and reproductive success5 remains largely unclear at the single-neuron level. Here we combine ethological analysis, computer vision and wireless recording technologies to identify neural signatures of natural behaviour in unrestrained, socially interacting pairs of rhesus macaques. Single-neuron and population activity in the prefrontal and temporal cortex robustly encoded 24 species-typical behaviours, as well as social context. Male-female partners demonstrated near-perfect reciprocity in grooming, a key behavioural mechanism supporting friendships and alliances6, and neural activity maintained a running account of these social investments. Confronted with an aggressive intruder, behavioural and neural population responses reflected empathy and were buffered by the presence of a partner. Our findings reveal a highly distributed neurophysiological ledger of social dynamics, a potential computational foundation supporting communal life in primate societies, including our own.
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Affiliation(s)
- Camille Testard
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.
| | - Sébastien Tremblay
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry & Neuroscience, Université Laval, Québec, Québec, Canada
| | - Felipe Parodi
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
| | - Ron W DiTullio
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Kristin L Gardiner
- Department of Pathobiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Konrad Kording
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael L Platt
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
- Department of Marketing, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
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8
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Paterson EA, O’Malley CI, Abney DM, Archibald WJ, Turner PV. Development of a novel primate welfare assessment tool for research macaques. Anim Welf 2024; 33:e3. [PMID: 38487785 PMCID: PMC10936341 DOI: 10.1017/awf.2024.3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 12/08/2023] [Accepted: 12/11/2023] [Indexed: 03/17/2024]
Abstract
Primates are important species for biomedical research and ensuring their good welfare is critical for research translatability and ethical responsibility. Systematic animal welfare assessments can support continuous programme improvements and build institutional awareness of areas requiring more attention. A multi-facility, collaborative project aimed to develop and implement a novel primate welfare assessment tool (PWAT) for use with research macaques. PWAT development involved: establishing an internal focus group of primate subject matter experts, identifying animal welfare categories and descriptors based on literature review, developing a preliminary tool, beta-testing the tool to ensure practicality and final consensus on descriptors, finalising the tool in a database with semi-automated data analysis, and delivering the tool to 13 sites across four countries. The tool uses input- and outcome-based measures from six categories: physical, behavioural, training, environmental, procedural, and culture of care. The final tool has 133 descriptors weighted based upon welfare impact, and is split into three forms for ease of use (room level, site level, and personnel interviews). The PWAT was trialled across facilities in March and September 2022 for benchmarking current macaque behavioural management programmes. The tool successfully distinguished strengths and challenges at the facility level and across sites. Following this benchmarking, the tool is being applied semi-annually to assess and monitor progress in behavioural management programmes. The development process of the PWAT demonstrates that evidence-based assessment tools can be developed through collaboration and consensus building, which are important for uptake and applicability, and ultimately for promoting global improvements in research macaque welfare.
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Affiliation(s)
- Emilie A Paterson
- Dept of Pathobiology, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - Carly I O’Malley
- Global Animal Welfare & Training, Charles River, Wilmington, MA, 01887, USA
| | | | | | - Patricia V Turner
- Dept of Pathobiology, University of Guelph, Guelph, ON, N1G 2W1, Canada
- Global Animal Welfare & Training, Charles River, Wilmington, MA, 01887, USA
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9
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Wang L, Zhou X, Zeng F, Cao M, Zuo S, Yang J, Kusunoki M, Wang H, Zhou YD, Chen A, Kwok SC. Mixed Selectivity Coding of Content-Temporal Detail by Dorsomedial Posterior Parietal Neurons. J Neurosci 2024; 44:e1677232023. [PMID: 37985178 PMCID: PMC10860630 DOI: 10.1523/jneurosci.1677-23.2023] [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: 09/05/2023] [Revised: 10/27/2023] [Accepted: 11/01/2023] [Indexed: 11/22/2023] Open
Abstract
The dorsomedial posterior parietal cortex (dmPPC) is part of a higher-cognition network implicated in elaborate processes underpinning memory formation, recollection, episode reconstruction, and temporal information processing. Neural coding for complex episodic processing is however under-documented. Here, we recorded extracellular neural activities from three male rhesus macaques (Macaca mulatta) and revealed a set of neural codes of "neuroethogram" in the primate parietal cortex. Analyzing neural responses in macaque dmPPC to naturalistic videos, we discovered several groups of neurons that are sensitive to different categories of ethogram items, low-level sensory features, and saccadic eye movement. We also discovered that the processing of category and feature information by these neurons is sustained by the accumulation of temporal information over a long timescale of up to 30 s, corroborating its reported long temporal receptive windows. We performed an additional behavioral experiment with additional two male rhesus macaques and found that saccade-related activities could not account for the mixed neuronal responses elicited by the video stimuli. We further observed monkeys' scan paths and gaze consistency are modulated by video content. Taken altogether, these neural findings explain how dmPPC weaves fabrics of ongoing experiences together in real time. The high dimensionality of neural representations should motivate us to shift the focus of attention from pure selectivity neurons to mixed selectivity neurons, especially in increasingly complex naturalistic task designs.
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Affiliation(s)
- Lei Wang
- Shanghai Key Laboratory of Brain Functional Genomics, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
- Phylo-Cognition Laboratory, Division of Natural and Applied Sciences, Duke Kunshan University, Duke Institute for Brain Sciences, Kunshan 215316, Jiangsu, China
| | - Xufeng Zhou
- Shanghai Key Laboratory of Brain Functional Genomics, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
- Phylo-Cognition Laboratory, Division of Natural and Applied Sciences, Duke Kunshan University, Duke Institute for Brain Sciences, Kunshan 215316, Jiangsu, China
| | - Fu Zeng
- Key Laboratory of Brain Functional Genomics (Ministry of Education), East China Normal University, Shanghai 200062, China
| | - Mingfeng Cao
- Phylo-Cognition Laboratory, Division of Natural and Applied Sciences, Duke Kunshan University, Duke Institute for Brain Sciences, Kunshan 215316, Jiangsu, China
- Whiting School of Engineering, department of biomedical engineering, Johns Hopkins University, Baltimore, Maryland 21218
| | - Shuzhen Zuo
- Shanghai Key Laboratory of Brain Functional Genomics, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
- Laboratory for Circuit and Behavioral Physiology, RIKEN Center for Brain Science, Wako-shi, Saitama 351-0198, Japan
- Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo 153-8902, Japan
| | - Jie Yang
- Shanghai Key Laboratory of Brain Functional Genomics, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
| | - Makoto Kusunoki
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge CB2 7EF, United Kingdom
- Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, United Kingdom
| | - Huimin Wang
- Shanghai Key Laboratory of Brain Functional Genomics, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
- Key Laboratory of Brain Functional Genomics (Ministry of Education), East China Normal University, Shanghai 200062, China
- Shanghai Changning Mental Health Center, Shanghai 200335, China
- NYU-ECNU Institute of Brain and Cognitive Science at NYU Shanghai, Shanghai 200062, China
| | - Yong-di Zhou
- School of Psychology, Shenzhen University, Shenzhen 518052, China
- Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland 21218
| | - Aihua Chen
- Key Laboratory of Brain Functional Genomics (Ministry of Education), East China Normal University, Shanghai 200062, China
| | - Sze Chai Kwok
- Shanghai Key Laboratory of Brain Functional Genomics, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China
- Phylo-Cognition Laboratory, Division of Natural and Applied Sciences, Duke Kunshan University, Duke Institute for Brain Sciences, Kunshan 215316, Jiangsu, China
- Key Laboratory of Brain Functional Genomics (Ministry of Education), East China Normal University, Shanghai 200062, China
- Shanghai Changning Mental Health Center, Shanghai 200335, China
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai 200062, China
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10
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Bergman TJ, Beehner JC. Information Ecology: an integrative framework for studying animal behavior. Trends Ecol Evol 2023; 38:1041-1050. [PMID: 37820577 DOI: 10.1016/j.tree.2023.05.017] [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: 12/01/2022] [Revised: 05/17/2023] [Accepted: 05/24/2023] [Indexed: 10/13/2023]
Abstract
Information is simultaneously a valuable resource for animals and a tractable variable for researchers. We propose the name Information Ecology to describe research focused on how individual animals use information to enhance fitness. An explicit focus on information in animal behavior is far from novel - we simply build on these ideas and promote a unified approach to how and why animals use information. The value of information to animals favors the theoretically rich adaptive approach of field-based research. Simultaneously, our ability to manipulate information lends itself to the strong methods of laboratory-based research. Information Ecology asks three questions: What information is available? How is it used (or not)? And, why is it used (or not)?
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Affiliation(s)
- Thore J Bergman
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA.
| | - Jacinta C Beehner
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Anthropology, University of Michigan, Ann Arbor, MI 48109, USA
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11
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Testard C, Tremblay S, Parodi F, DiTullio RW, Acevedo-Ithier A, Gardiner K, Kording KP, Platt M. Neural signatures of natural behavior in socializing macaques. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.05.547833. [PMID: 37461580 PMCID: PMC10349985 DOI: 10.1101/2023.07.05.547833] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Our understanding of the neurobiology of primate behavior largely derives from artificial tasks in highly-controlled laboratory settings, overlooking most natural behaviors primate brains evolved to produce1. In particular, how primates navigate the multidimensional social relationships that structure daily life and shape survival and reproductive success remains largely unexplored at the single neuron level. Here, we combine ethological analysis with new wireless recording technologies to uncover neural signatures of natural behavior in unrestrained, socially interacting pairs of rhesus macaques within a larger colony. Population decoding of single neuron activity in prefrontal and temporal cortex unveiled robust encoding of 24 species-typical behaviors, which was strongly modulated by the presence and identity of surrounding monkeys. Male-female partners demonstrated near-perfect reciprocity in grooming, a key behavioral mechanism supporting friendships and alliances, and neural activity maintained a running account of these social investments. When confronted with an aggressive intruder, behavioral and neural population responses reflected empathy and were buffered by the presence of a partner. Surprisingly, neural signatures in prefrontal and temporal cortex were largely indistinguishable and irreducible to visual and motor contingencies. By employing an ethological approach to the study of primate neurobiology, we reveal a highly-distributed neurophysiological record of social dynamics, a potential computational foundation supporting communal life in primate societies, including our own.
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12
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Verga L, Kotz SA, Ravignani A. The evolution of social timing. Phys Life Rev 2023; 46:131-151. [PMID: 37419011 DOI: 10.1016/j.plrev.2023.06.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 06/15/2023] [Indexed: 07/09/2023]
Abstract
Sociality and timing are tightly interrelated in human interaction as seen in turn-taking or synchronised dance movements. Sociality and timing also show in communicative acts of other species that might be pleasurable, but also necessary for survival. Sociality and timing often co-occur, but their shared phylogenetic trajectory is unknown: How, when, and why did they become so tightly linked? Answering these questions is complicated by several constraints; these include the use of divergent operational definitions across fields and species, the focus on diverse mechanistic explanations (e.g., physiological, neural, or cognitive), and the frequent adoption of anthropocentric theories and methodologies in comparative research. These limitations hinder the development of an integrative framework on the evolutionary trajectory of social timing and make comparative studies not as fruitful as they could be. Here, we outline a theoretical and empirical framework to test contrasting hypotheses on the evolution of social timing with species-appropriate paradigms and consistent definitions. To facilitate future research, we introduce an initial set of representative species and empirical hypotheses. The proposed framework aims at building and contrasting evolutionary trees of social timing toward and beyond the crucial branch represented by our own lineage. Given the integration of cross-species and quantitative approaches, this research line might lead to an integrated empirical-theoretical paradigm and, as a long-term goal, explain why humans are such socially coordinated animals.
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Affiliation(s)
- Laura Verga
- Comparative Bioacoustic Group, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands; Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands.
| | - Sonja A Kotz
- Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Andrea Ravignani
- Comparative Bioacoustic Group, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands; Center for Music in the Brain, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
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13
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Smucny J, Vlasova RM, Lesh TA, Rowland DJ, Wang G, Chaudhari AJ, Chen S, Iosif AM, Hogrefe CE, Bennett JL, Shumann CM, Van de Water JA, Maddock RJ, Styner MA, Geschwind DH, McAllister AK, Bauman MD, Carter CS. Increased Striatal Presynaptic Dopamine in a Nonhuman Primate Model of Maternal Immune Activation: A Longitudinal Neurodevelopmental Positron Emission Tomography Study With Implications for Schizophrenia. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023; 8:505-513. [PMID: 36805246 PMCID: PMC10164700 DOI: 10.1016/j.bpsc.2022.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/26/2022] [Accepted: 10/27/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Epidemiological studies suggest that maternal immune activation (MIA) is a significant risk factor for future neurodevelopmental disorders, including schizophrenia (SZ), in offspring. Consistent with findings in SZ research and work in rodent systems, preliminary cross-sectional findings in nonhuman primates suggest that MIA is associated with dopaminergic hyperfunction in young adult offspring. METHODS In this unique prospective longitudinal study, we used [18F]fluoro-l-m-tyrosine positron emission tomography to examine the developmental time course of striatal presynaptic dopamine synthesis in male rhesus monkeys born to dams (n = 13) injected with a modified form of the inflammatory viral mimic, polyinosinic:polycytidylic acid [poly(I:C)], in the late first trimester. Striatal (caudate, putamen, and nucleus accumbens) dopamine from these animals was compared with that of control offspring born to dams that received saline (n = 10) or no injection (n = 4). Dopamine was measured at 15, 26, 38, and 48 months of age. Prior work with this cohort found decreased prefrontal gray matter volume in MIA offspring versus controls between 6 and 45 months of age. Based on theories of the etiology and development of SZ-related pathology, we hypothesized that there would be a delayed (relative to the gray matter decrease) increase in striatal fluoro-l-m-tyrosine signal in the MIA group versus controls. RESULTS [18F]fluoro-l-m-tyrosine signal showed developmental increases in both groups in the caudate and putamen. Group comparisons revealed significantly greater caudate dopaminergic signal in the MIA group at 26 months. CONCLUSIONS These findings are highly relevant to the known pathophysiology of SZ and highlight the translational relevance of the MIA model in understanding mechanisms by which MIA during pregnancy increases risk for later illness in offspring.
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Affiliation(s)
- Jason Smucny
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, California.
| | - Roza M Vlasova
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina
| | - Tyler A Lesh
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, California; Center for Neuroscience, University of California, Davis, California
| | - Douglas J Rowland
- Center for Genomic and Molecular Imaging, University of California, Davis, California
| | - Guobao Wang
- Department of Radiology, University of California, Davis, California
| | - Abhijit J Chaudhari
- Center for Genomic and Molecular Imaging, University of California, Davis, California; Department of Radiology, University of California, Davis, California
| | - Shuai Chen
- Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, California
| | - Ana-Maria Iosif
- Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, California
| | - Casey E Hogrefe
- California National Primate Research Center, University of California, Davis, California
| | - Jeffrey L Bennett
- Department of Psychology, University of California, Davis, California
| | - Cynthia M Shumann
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, California
| | - Judy A Van de Water
- Division of Rheumatology, Allergy and Clinical Immunology, University of California, Davis, California
| | - Richard J Maddock
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, California
| | - Martin A Styner
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina; Department of Computer Science, University of North Carolina, Chapel Hill, North Carolina
| | - Daniel H Geschwind
- Department of Neurology, University of California, Los Angeles, Los Angeles, California
| | | | - Melissa D Bauman
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, California; California National Primate Research Center, University of California, Davis, California
| | - Cameron S Carter
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, California; Center for Neuroscience, University of California, Davis, California.
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14
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Petroff RL, Grant KS, Burbacher TM. The Role of Nonhuman Primates in Neurotoxicology Research: Preclinical Models and Experimental Methods. Curr Protoc 2023; 3:e698. [PMID: 36912610 PMCID: PMC10084743 DOI: 10.1002/cpz1.698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2023]
Abstract
Although noteworthy progress has been made in developing alternatives to animal testing, nonhuman primates still play a critical role in advancing biomedical research and will likely do so for many years. Core similarities between monkeys and humans in genetics, physiology, reproduction, development, and behavior make them excellent models for translational studies relevant to human health. This unit is designed to specifically address the role of nonhuman primates in neurotoxicology research and outlines the specialized assessments that can be used to measure exposure-related changes at the structural, chemical, cellular, molecular, and functional levels. © 2023 Wiley Periodicals LLC.
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Affiliation(s)
- Rebekah L Petroff
- Department of Environmental & Occupational Health Sciences (DEOHS), University of Washington, Seattle, Washington
| | - Kimberly S Grant
- Department of Environmental & Occupational Health Sciences (DEOHS), University of Washington, Seattle, Washington
| | - Thomas M Burbacher
- Department of Environmental & Occupational Health Sciences (DEOHS), University of Washington, Seattle, Washington
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15
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Tremblay S, Testard C, DiTullio RW, Inchauspé J, Petrides M. Neural cognitive signals during spontaneous movements in the macaque. Nat Neurosci 2023; 26:295-305. [PMID: 36536242 DOI: 10.1038/s41593-022-01220-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 10/27/2022] [Indexed: 12/24/2022]
Abstract
The single-neuron basis of cognitive processing in primates has mostly been studied in laboratory settings where movements are severely restricted. It is unclear, therefore, how natural movements might affect neural signatures of cognition in the brain. Moreover, studies in mice indicate that body movements, when measured, account for most of the neural dynamics in the cortex. To examine these issues, we recorded from single-neuron ensembles in the prefrontal cortex in moving monkeys performing a cognitive task and characterized eye, head and body movements using video tracking. Despite considerable trial-to-trial movement variability, single-neuron tuning could be precisely measured and decision signals accurately decoded on a single-trial basis. Creating or abolishing spontaneous movements through head restraint and task manipulations had no measurable impact on neural responses. However, encoding models showed that uninstructed movements explained as much neural variance as task variables, with most movements aligned to task events. These results demonstrate that cognitive signals in the cortex are robust to natural movements, but also that unmeasured movements are potential confounds in cognitive neurophysiology experiments.
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Affiliation(s)
- Sébastien Tremblay
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA.
| | - Camille Testard
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
| | - Ron W DiTullio
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
| | - Jeanne Inchauspé
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
- Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Michael Petrides
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
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16
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Hayden BY, Park HS, Zimmermann J. Automated pose estimation in primates. Am J Primatol 2022; 84:e23348. [PMID: 34855257 PMCID: PMC9160209 DOI: 10.1002/ajp.23348] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 11/05/2021] [Accepted: 11/09/2021] [Indexed: 11/11/2022]
Abstract
Understanding the behavior of primates is important for primatology, for psychology, and for biology more broadly. It is also important for biomedicine, where primates are an important model organism, and whose behavior is often an important variable of interest. Our ability to rigorously quantify behavior has, however, long been limited. On one hand, we can rigorously quantify low-information measures like preference, looking time, and reaction time; on the other, we can use more gestalt measures like behavioral categories tracked via ethogram, but at high cost and with high variability. Recent technological advances have led to a major revolution in behavioral measurement that offers affordable and scalable rigor. Specifically, digital video cameras and automated pose tracking software can provide measures of full-body position (i.e., pose) of primates over time (i.e., behavior) with high spatial and temporal resolution. Pose-tracking technology in turn can be used to infer behavioral states, such as eating, sleeping, and mating. We call this technological approach behavioral imaging. In this review, we situate the behavioral imaging revolution in the history of the study of behavior, argue for investment in and development of analytical and research techniques that can profit from the advent of the era of big behavior, and propose that primate centers and zoos will take on a more central role in relevant fields of research than they have in the past.
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Affiliation(s)
- Benjamin Y. Hayden
- Department of Neuroscience, Center for Magnetic Resonance Research, Department of Biomedical Engineering
| | - Hyun Soo Park
- Department of Computer Science and Engineering, University of Minnesota, Minneapolis MN 55455
| | - Jan Zimmermann
- Department of Neuroscience, Center for Magnetic Resonance Research, Department of Biomedical Engineering
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17
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Lewis LS, Krupenye C. Eye-tracking as a window into primate social cognition. Am J Primatol 2022; 84:e23393. [PMID: 35635515 DOI: 10.1002/ajp.23393] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 04/21/2022] [Accepted: 04/25/2022] [Indexed: 11/06/2022]
Abstract
Over the past decade, noninvasive, restraint-free eye-tracking research with primates has transformed our understanding of primate social cognition. The use of this technology with many primate species allows for the exploration and comparison of how these species attend to and understand social agents and interactions. The ability to compare and contrast the cognitive capacities of various primate species, including humans, provides insight into the evolutionary mechanisms and selective pressures that have likely shaped social cognition in similar and divergent ways across the primate order. In this review, we begin by discussing noninvasive behavioral methods used to measure primate gaze and attention before the introduction of noninvasive, restraint-free eye-tracking methodologies. Next, we focus on findings from recent eye-tracking research on primate social cognition, beginning with simple visual and search mechanisms. We then discuss the results that have built on this basic understanding of how primates view images and videos, exploring discrimination and knowledge of social agents, following social cues, tracking perspectives and predicting behavior, and the combination of eye-tracking and other behavioral and physiological methods. Finally, we discuss some future directions of noninvasive eye-tracking research on primate social cognition and current eye-tracking work-in-progress that builds on these previous studies, investigating underexplored socio-cognitive capacities and utilizing new methodologies.
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Affiliation(s)
- Laura S Lewis
- Department of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA.,School of Psychology & Neuroscience, University of St Andrews, St Andrews, UK
| | - Christopher Krupenye
- Department of Psychological & Brain Sciences, Johns Hopkins University, Baltimore, Maryland, USA.,Department of Psychology, Durham University, Durham, UK
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18
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Zhang W, Rose MC, Yartsev MM. A unifying mechanism governing inter-brain neural relationship during social interactions. eLife 2022; 11:70493. [PMID: 35142287 PMCID: PMC8947764 DOI: 10.7554/elife.70493] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 02/08/2022] [Indexed: 01/23/2023] Open
Abstract
A key goal of social neuroscience is to understand the inter-brain neural relationship-the relationship between the neural activity of socially interacting individuals. Decades of research investigating this relationship have focused on the similarity in neural activity across brains. Here, we instead asked how neural activity differs between brains, and how that difference evolves alongside activity patterns shared between brains. Applying this framework to bats engaged in spontaneous social interactions revealed two complementary phenomena characterizing the inter-brain neural relationship: fast fluctuations of activity difference across brains unfolding in parallel with slow activity covariation across brains. A model reproduced these observations and generated multiple predictions that we confirmed using experimental data involving pairs of bats and a larger social group of bats. The model suggests that a simple computational mechanism involving positive and negative feedback could explain diverse experimental observations regarding the inter-brain neural relationship.
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Affiliation(s)
- Wujie Zhang
- Helen Wills Neuroscience Institute and Department of Bioengineering, University of California, BerkeleyBerkeleyUnited States
| | - Maimon C Rose
- Helen Wills Neuroscience Institute and Department of Bioengineering, University of California, BerkeleyBerkeleyUnited States
| | - Michael M Yartsev
- Helen Wills Neuroscience Institute and Department of Bioengineering, University of California, BerkeleyBerkeleyUnited States
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19
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Vlasova RM, Iosif AM, Ryan AM, Funk LH, Murai T, Chen S, Lesh TA, Rowland DJ, Bennett J, Hogrefe CE, Maddock RJ, Gandal MJ, Geschwind DH, Schumann CM, Van de Water J, McAllister AK, Carter CS, Styner MA, Amaral DG, Bauman MD. Maternal Immune Activation during Pregnancy Alters Postnatal Brain Growth and Cognitive Development in Nonhuman Primate Offspring. J Neurosci 2021; 41:9971-9987. [PMID: 34607967 PMCID: PMC8638691 DOI: 10.1523/jneurosci.0378-21.2021] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 07/28/2021] [Accepted: 09/06/2021] [Indexed: 11/21/2022] Open
Abstract
Human epidemiological studies implicate exposure to infection during gestation in the etiology of neurodevelopmental disorders. Animal models of maternal immune activation (MIA) have identified the maternal immune response as the critical link between maternal infection and aberrant offspring brain and behavior development. Here we evaluate neurodevelopment of male rhesus monkeys (Macaca mulatta) born to MIA-treated dams (n = 14) injected with a modified form of the viral mimic polyinosinic:polycytidylic acid at the end of the first trimester. Control dams received saline injections at the same gestational time points (n = 10) or were untreated (n = 4). MIA-treated dams exhibited a strong immune response as indexed by transient increases in sickness behavior, temperature, and inflammatory cytokines. Although offspring born to control or MIA-treated dams did not differ on measures of physical growth and early developmental milestones, the MIA-treated animals exhibited subtle changes in cognitive development and deviated from species-typical brain growth trajectories. Longitudinal MRI revealed significant gray matter volume reductions in the prefrontal and frontal cortices of MIA-treated offspring at 6 months that persisted through the final time point at 45 months along with smaller frontal white matter volumes in MIA-treated animals at 36 and 45 months. These findings provide the first evidence of early postnatal changes in brain development in MIA-exposed nonhuman primates and establish a translationally relevant model system to explore the neurodevelopmental trajectory of risk associated with prenatal immune challenge from birth through late adolescence.SIGNIFICANCE STATEMENT Women exposed to infection during pregnancy have an increased risk of giving birth to a child who will later be diagnosed with a neurodevelopmental disorder. Preclinical maternal immune activation (MIA) models have demonstrated that the effects of maternal infection on fetal brain development are mediated by maternal immune response. Since the majority of MIA models are conducted in rodents, the nonhuman primate provides a unique system to evaluate the MIA hypothesis in a species closely related to humans. Here we report the first longitudinal study conducted in a nonhuman primate MIA model. MIA-exposed offspring demonstrate subtle changes in cognitive development paired with marked reductions in frontal gray and white matter, further supporting the association between prenatal immune challenge and alterations in offspring neurodevelopment.
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Affiliation(s)
- Roza M Vlasova
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, 27514
| | - Ana-Maria Iosif
- Division of Biostatistics, Department of Public Health Sciences, School of Medicine, University of California, Davis, Sacramento, California, 95817
| | - Amy M Ryan
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Sacramento, California, 95817
- The MIND Institute, School of Medicine, University of California, Davis, Sacramento, California, 95817
- California National Primate Research Center, University of California, Davis, California, 95616
| | - Lucy H Funk
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Sacramento, California, 95817
| | - Takeshi Murai
- California National Primate Research Center, University of California, Davis, California, 95616
| | - Shuai Chen
- Division of Biostatistics, Department of Public Health Sciences, School of Medicine, University of California, Davis, Sacramento, California, 95817
| | - Tyler A Lesh
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Sacramento, California, 95817
| | - Douglas J Rowland
- Center for Genomic and Molecular Imaging, University of California, Davis, California, 95616
| | - Jeffrey Bennett
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Sacramento, California, 95817
| | - Casey E Hogrefe
- California National Primate Research Center, University of California, Davis, California, 95616
| | - Richard J Maddock
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Sacramento, California, 95817
| | - Michael J Gandal
- Neurogenetics Program, Department of Neurology, University of California, Los Angeles, California, 90095
| | - Daniel H Geschwind
- Neurogenetics Program, Department of Neurology, University of California, Los Angeles, California, 90095
| | - Cynthia M Schumann
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Sacramento, California, 95817
- The MIND Institute, School of Medicine, University of California, Davis, Sacramento, California, 95817
| | - Judy Van de Water
- The MIND Institute, School of Medicine, University of California, Davis, Sacramento, California, 95817
- Rheumatology/Allergy and Clinical Immunology, School of Medicine, University of California, Davis, Sacramento, California, 95817
| | - A Kimberley McAllister
- The MIND Institute, School of Medicine, University of California, Davis, Sacramento, California, 95817
- Center for Neuroscience, University of California, Davis, California, 95618
| | - Cameron S Carter
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Sacramento, California, 95817
| | - Martin A Styner
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, 27514
- Department of Computer Science, University of North Carolina, Chapel Hill, North Carolina, 27599
| | - David G Amaral
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Sacramento, California, 95817
- The MIND Institute, School of Medicine, University of California, Davis, Sacramento, California, 95817
- California National Primate Research Center, University of California, Davis, California, 95616
| | - Melissa D Bauman
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Sacramento, California, 95817
- The MIND Institute, School of Medicine, University of California, Davis, Sacramento, California, 95817
- California National Primate Research Center, University of California, Davis, California, 95616
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20
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Sun B, Zhao W. Compressed Sensing of Extracellular Neurophysiology Signals: A Review. Front Neurosci 2021; 15:682063. [PMID: 34512238 PMCID: PMC8427310 DOI: 10.3389/fnins.2021.682063] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 07/08/2021] [Indexed: 11/13/2022] Open
Abstract
This article presents a comprehensive survey of literature on the compressed sensing (CS) of neurophysiology signals. CS is a promising technique to achieve high-fidelity, low-rate, and hardware-efficient neural signal compression tasks for wireless streaming of massively parallel neural recording channels in next-generation neural interface technologies. The main objective is to provide a timely retrospective on applying the CS theory to the extracellular brain signals in the past decade. We will present a comprehensive review on the CS-based neural recording system architecture, the CS encoder hardware exploration and implementation, the sparse representation of neural signals, and the signal reconstruction algorithms. Deep learning-based CS methods are also discussed and compared with the traditional CS-based approaches. We will also extend our discussion to cover the technical challenges and prospects in this emerging field.
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Affiliation(s)
- Biao Sun
- School of Electrical and Information Engineering, Tianjin University, Tianjin, China
| | - Wenfeng Zhao
- Department of Electrical and Computer Engineering, Binghamton University, State University of New York, Binghamton, NY, United States
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