1
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Burden SA, Libby T, Jayaram K, Sponberg S, Donelan JM. Why animals can outrun robots. Sci Robot 2024; 9:eadi9754. [PMID: 38657092 DOI: 10.1126/scirobotics.adi9754] [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: 05/31/2023] [Accepted: 03/26/2024] [Indexed: 04/26/2024]
Abstract
Animals are much better at running than robots. The difference in performance arises in the important dimensions of agility, range, and robustness. To understand the underlying causes for this performance gap, we compare natural and artificial technologies in the five subsystems critical for running: power, frame, actuation, sensing, and control. With few exceptions, engineering technologies meet or exceed the performance of their biological counterparts. We conclude that biology's advantage over engineering arises from better integration of subsystems, and we identify four fundamental obstacles that roboticists must overcome. Toward this goal, we highlight promising research directions that have outsized potential to help future running robots achieve animal-level performance.
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Affiliation(s)
- Samuel A Burden
- Department of Electrical and Computer Engineering, University of Washington, Seattle, WA 98195, USA
| | - Thomas Libby
- Robotics Laboratory, SRI International, Menlo Park, CA 94025, USA
| | - Kaushik Jayaram
- Paul M. Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO 80303, USA
| | - Simon Sponberg
- Schools of Physics and Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30317, USA
| | - J Maxwell Donelan
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC V5A 1S6, Canada
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2
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Luppi AI, Rosas FE, Noonan MP, Mediano PAM, Kringelbach ML, Carhart-Harris RL, Stamatakis EA, Vernon AC, Turkheimer FE. Oxygen and the Spark of Human Brain Evolution: Complex Interactions of Metabolism and Cortical Expansion across Development and Evolution. Neuroscientist 2024; 30:173-198. [PMID: 36476177 DOI: 10.1177/10738584221138032] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
Scientific theories on the functioning and dysfunction of the human brain require an understanding of its development-before and after birth and through maturation to adulthood-and its evolution. Here we bring together several accounts of human brain evolution by focusing on the central role of oxygen and brain metabolism. We argue that evolutionary expansion of human transmodal association cortices exceeded the capacity of oxygen delivery by the vascular system, which led these brain tissues to rely on nonoxidative glycolysis for additional energy supply. We draw a link between the resulting lower oxygen tension and its effect on cytoarchitecture, which we posit as a key driver of genetic developmental programs for the human brain-favoring lower intracortical myelination and the presence of biosynthetic materials for synapse turnover. Across biological and temporal scales, this protracted capacity for neural plasticity sets the conditions for cognitive flexibility and ongoing learning, supporting complex group dynamics and intergenerational learning that in turn enabled improved nutrition to fuel the metabolic costs of further cortical expansion. Our proposed model delineates explicit mechanistic links among metabolism, molecular and cellular brain heterogeneity, and behavior, which may lead toward a clearer understanding of brain development and its disorders.
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Affiliation(s)
- Andrea I Luppi
- Department of Clinical Neurosciences and Division of Anaesthesia, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Leverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, UK
- The Alan Turing Institute, London, UK
| | - Fernando E Rosas
- Department of Informatics, University of Sussex, Brighton, UK
- Centre for Psychedelic Research, Department of Brain Science, Imperial College London, London, UK
- Centre for Complexity Science, Imperial College London, London, UK
- Centre for Eudaimonia and Human Flourishing, University of Oxford, Oxford, UK
| | - MaryAnn P Noonan
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Pedro A M Mediano
- Department of Psychology, University of Cambridge, Cambridge, UK
- Department of Psychology, Queen Mary University of London, London, UK
- Department of Computing, Imperial College London, London, UK
| | - Morten L Kringelbach
- Centre for Eudaimonia and Human Flourishing, University of Oxford, Oxford, UK
- Center for Music in the Brain, Aarhus University, Aarhus, Denmark
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Robin L Carhart-Harris
- Psychedelics Division-Neuroscape, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Emmanuel A Stamatakis
- Department of Clinical Neurosciences and Division of Anaesthesia, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Anthony C Vernon
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Federico E Turkheimer
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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3
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Ni J, Yang J, Ma Y. Social bonding in groups of humans selectively increases inter-status information exchange and prefrontal neural synchronization. PLoS Biol 2024; 22:e3002545. [PMID: 38502637 PMCID: PMC10950240 DOI: 10.1371/journal.pbio.3002545] [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: 08/07/2023] [Accepted: 02/12/2024] [Indexed: 03/21/2024] Open
Abstract
Social groups in various social species are organized with hierarchical structures that shape group dynamics and the nature of within-group interactions. In-group social bonding, exemplified by grooming behaviors among animals and collective rituals and team-building activities in human societies, is recognized as a practical adaptive strategy to foster group harmony and stabilize hierarchical structures in both human and nonhuman animal groups. However, the neurocognitive mechanisms underlying the effects of social bonding on hierarchical groups remain largely unexplored. Here, we conducted simultaneous neural recordings on human participants engaged in-group communications within small hierarchical groups (n = 528, organized into 176 three-person groups) to investigate how social bonding influenced hierarchical interactions and neural synchronizations. We differentiated interpersonal interactions between individuals of different (inter-status) or same (intra-status) social status and observed distinct effects of social bonding on inter-status and intra-status interactions. Specifically, social bonding selectively increased frequent and rapid information exchange and prefrontal neural synchronization for inter-status dyads but not intra-status dyads. Furthermore, social bonding facilitated unidirectional neural alignment from group leader to followers, enabling group leaders to predictively align their prefrontal activity with that of followers. These findings provide insights into how social bonding influences hierarchical dynamics and neural synchronization while highlighting the role of social status in shaping the strength and nature of social bonding experiences in human groups.
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Affiliation(s)
- Jun Ni
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| | - Jiaxin Yang
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| | - Yina Ma
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
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4
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Haaf R, Brandi ML, Albantakis L, Lahnakoski JM, Henco L, Schilbach L. Peripheral oxytocin levels are linked to hypothalamic gray matter volume in autistic adults: a cross-sectional secondary data analysis. Sci Rep 2024; 14:1380. [PMID: 38228703 PMCID: PMC10791615 DOI: 10.1038/s41598-023-50770-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 12/25/2023] [Indexed: 01/18/2024] Open
Abstract
Oxytocin (OXT) is known to modulate social behavior and cognition and has been discussed as pathophysiological and therapeutic factor for autism spectrum disorder (ASD). An accumulating body of evidence indicates the hypothalamus to be of particular importance with regard to the underlying neurobiology. Here we used a region of interest voxel-based morphometry (VBM) approach to investigate hypothalamic gray matter volume (GMV) in autistic (n = 29, age 36.03 ± 11.0) and non-autistic adults (n = 27, age 30.96 ± 11.2). Peripheral plasma OXT levels and the autism spectrum quotient (AQ) were used for correlation analyses. Results showed no differences in hypothalamic GMV in autistic compared to non-autistic adults but suggested a differential association between hypothalamic GMV and OXT levels, such that a positive association was found for the ASD group. In addition, hypothalamic GMV showed a positive association with autistic traits in the ASD group. Bearing in mind the limitations such as a relatively small sample size, a wide age range and a high rate of psychopharmacological treatment in the ASD sample, these results provide new preliminary evidence for a potentially important role of the HTH in ASD and its relationship to the OXT system, but also point towards the importance of interindividual differences.
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Affiliation(s)
- Raoul Haaf
- Independent Max Planck Research Group for Social Neuroscience, Max Planck Institute of Psychiatry, Munich, Germany.
- Graduate School, Technical University of Munich, Munich, Germany.
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.
| | - Marie-Luise Brandi
- Independent Max Planck Research Group for Social Neuroscience, Max Planck Institute of Psychiatry, Munich, Germany
| | - Laura Albantakis
- Independent Max Planck Research Group for Social Neuroscience, Max Planck Institute of Psychiatry, Munich, Germany
- Outpatient and Day Clinic for Disorders of Social Interaction, Max Planck Institute of Psychiatry, Munich, Germany
- International Max Planck Research School for Translational Psychiatry, Munich, Germany
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Juha M Lahnakoski
- Independent Max Planck Research Group for Social Neuroscience, Max Planck Institute of Psychiatry, Munich, Germany
- Institute of Neurosciences and Medicine, Brain and Behaviour (INM-7), Research Center Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Lara Henco
- Independent Max Planck Research Group for Social Neuroscience, Max Planck Institute of Psychiatry, Munich, Germany
- Graduate School of Systemic Neurosciences, Munich, Germany
| | - Leonhard Schilbach
- Independent Max Planck Research Group for Social Neuroscience, Max Planck Institute of Psychiatry, Munich, Germany
- Outpatient and Day Clinic for Disorders of Social Interaction, Max Planck Institute of Psychiatry, Munich, Germany
- International Max Planck Research School for Translational Psychiatry, Munich, Germany
- Graduate School of Systemic Neurosciences, Munich, Germany
- Ludwig-Maximilians-Universität München, Munich, Germany
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Goolsby BC, Smith EJ, Muratore IB, Coto ZN, Muscedere ML, Traniello JFA. Differential Neuroanatomical, Neurochemical, and Behavioral Impacts of Early-Age Isolation in a Eusocial Insect. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.29.546928. [PMID: 37425857 PMCID: PMC10326991 DOI: 10.1101/2023.06.29.546928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Social experience early in life appears to be necessary for the development of species-typical behavior. Although isolation during critical periods of maturation has been shown to impact behavior by altering gene expression and brain development in invertebrates and vertebrates, workers of some ant species appear resilient to social deprivation and other neurobiological challenges that occur during senescence or due to loss of sensory input. It is unclear if and to what degree neuroanatomy, neurochemistry, and behavior will show deficiencies if social experience in the early adult life of worker ants is compromised. We reared newly-eclosed adult workers of Camponotus floridanus under conditions of social isolation for 2 to 53 days, quantified brain compartment volumes, recorded biogenic amine levels in individual brains, and evaluated movement and behavioral performance to compare the neuroanatomy, neurochemistry, brood-care behavior, and foraging (predatory behavior) of isolated workers with that of workers experiencing natural social contact after adult eclosion. We found that the volume of the antennal lobe, which processes olfactory inputs, was significantly reduced in workers isolated for an average of 40 days, whereas the size of the mushroom bodies, centers of higher-order sensory processing, increased after eclosion and was not significantly different from controls. Titers of the neuromodulators serotonin, dopamine, and octopamine remained stable and were not significantly different in isolation treatments and controls. Brood care, predation, and overall movement were reduced in workers lacking social contact early in life. These results suggest that the behavioral development of isolated workers of C. floridanus is specifically impacted by a reduction in the size of the antennal lobe. Task performance and locomotor ability therefore appear to be sensitive to a loss of social contact through a reduction of olfactory processing ability rather than change in the size of the mushroom bodies, which serve important functions in learning and memory, or the central complex, which controls movement.
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Affiliation(s)
- Billie C. Goolsby
- Department of Biology, Boston University, Boston, MA, 02215, USA
- Department of Biology, Stanford University, Stanford, CA, 94305, USA
| | - E. Jordan Smith
- Department of Biology, Boston University, Boston, MA, 02215, USA
| | - Isabella B. Muratore
- Department of Biology, Boston University, Boston, MA, 02215, USA
- Department of Biological Sciences, New Jersey Institute of Technology, NJ, 07102, USA
| | - Zach N. Coto
- Department of Biology, Boston University, Boston, MA, 02215, USA
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Veerareddy A, Fang H, Safari N, Xu P, Krueger F. Cognitive empathy mediates the relationship between gray matter volume size of dorsomedial prefrontal cortex and social network size: A voxel-based morphometry study. Cortex 2023; 169:279-289. [PMID: 37972460 DOI: 10.1016/j.cortex.2023.09.015] [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: 11/25/2022] [Revised: 07/19/2023] [Accepted: 09/26/2023] [Indexed: 11/19/2023]
Abstract
Social networks are an important factor in developing and maintaining social relationships. The social brain network comprises brain regions that differ in terms of their location, structure, and functioning, and these differences tend to vary among individuals with different social network sizes. However, it remains unknown how social cognitive abilities such as empathy can affect social network size. The goal of our study was to examine the relationship between brain regions in the social brain network, empathy, and individual social network size by using the Social Network Index, which measures social network diversity, size, and complexity by assessing 12 different types of relationships. We performed voxel-based morphometry and mediation analyses using data from questionnaires and structural magnetic resonance imaging data in a sample of 204 young adults. Our findings showed that the gray matter volume of the dorsomedial prefrontal cortex (dmPFC) was inversely associated with social network size and cognitive empathy mediated this association, suggesting that decreased gray matter volume in the dmPFC is associated with greater utilization of cognitive empathy, which, in turn, seems to increase social network size. A potential mechanism explaining this inverse relationship could be cognitive pruning, a phenomenon that occurs in the brain between early adolescence and adulthood, but future longitudinal studies are needed. In conclusion, our findings provide information about the neurocognitive mechanisms involved in the formation and maintenance of social networks.
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Affiliation(s)
| | - Huihua Fang
- Shenzhen Key Laboratory of Affective and Social Neuroscience, Magnetic Resonance Imaging Center, Center for Brain Disorders and Cognitive Sciences, Shenzhen University, Shenzhen, China; Department of Psychology, University of Mannheim, Mannheim, Germany
| | - Nooshin Safari
- School of Systems Biology, George Mason University, Fairfax, VA, USA
| | - Pengfei Xu
- Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (BNU), Faculty of Psychology, Beijing Normal University, Beijing, China; Center for Neuroimaging, Shenzhen Institute of Neuroscience, Shenzhen, China.
| | - Frank Krueger
- School of Systems Biology, George Mason University, Fairfax, VA, USA; Department of Psychology, University of Mannheim, Mannheim, Germany
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Mısır E, Alıcı YH, Kocak OM. Functional connectivity in rumination: a systematic review of magnetic resonance imaging studies. J Clin Exp Neuropsychol 2023; 45:928-955. [PMID: 38346167 DOI: 10.1080/13803395.2024.2315312] [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: 06/01/2023] [Accepted: 12/28/2023] [Indexed: 03/10/2024]
Abstract
INTRODUCTION Rumination, defined as intrusive and repetitive thoughts in response to negative emotions, uncertainty, and inconsistency between goal and current situation, is a significant risk factor for depressive disorders. The rumination literature presents diverse findings on functional connectivity and shows heterogeneity in research methods. This systematic review seeks to integrate these findings and provide readers diverse perspectives. METHOD For this purpose, the literature on functional connectivity in rumination was reviewed according to the PRISMA guidelines. Regional connectivity and network connectivity results were scrutinized according to the presence of depression, research methods, and type of rumination. After screening 492 articles, a total of 36 studies were included. RESULTS The results showed that increased connectivity of the default mode network (DMN) was consistently reported. Other important findings include alterations in the connectivity between the DMN and the frontoparietal network and the salience network (SN) and impaired regulatory function of the SN. Region-level connectivity studies consistently show that increased connectivity between the posterior cingulate cortex and the prefrontal cortex is associated with rumination, which may cause the loss of control of the frontoparietal network over self-referential processes. We have seen that the number of studies examining brooding and reflective rumination as separate dimensions are relatively limited. Although there are overlaps between the connectivity patterns of the two types of rumination in these studies, it can be thought that reflective rumination is more associated with more increased functional connectivity of the prefrontal cortex. CONCLUSIONS Although there are many consistent functional connectivity outcomes associated with trait rumination, less is known about connectivity changes during state rumination. Relatively few studies have taken into account the subjective aspect of this thinking style. In order to better explain the relationship between rumination and depression, rumination induction studies during episode and remission periods of depression are needed.
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Affiliation(s)
- Emre Mısır
- Department of Psychiatry, Baskent University Faculty of Medicine, Ankara, Turkey
- Department of Interdisciplinary Neuroscience, Ankara University, Ankara, Turkey
| | - Yasemin Hoşgören Alıcı
- Department of Psychiatry, Baskent University Faculty of Medicine, Ankara, Turkey
- Department of Interdisciplinary Neuroscience, Ankara University, Ankara, Turkey
| | - Orhan Murat Kocak
- Department of Psychiatry, Baskent University Faculty of Medicine, Ankara, Turkey
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Bai F, Huang L, Deng J, Long Z, Hao X, Chen P, Wu G, Wen H, Deng Q, Bao X, Huang J, Yang M, Li D, Ren Y, Zhang M, Xiong Y, Li H. Prelimbic area to lateral hypothalamus circuit drives social aggression. iScience 2023; 26:107718. [PMID: 37810230 PMCID: PMC10551839 DOI: 10.1016/j.isci.2023.107718] [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: 01/12/2023] [Revised: 06/06/2023] [Accepted: 08/22/2023] [Indexed: 10/10/2023] Open
Abstract
Controlling aggression is a vital skill in social species such as rodents and humans and has been associated with the medial prefrontal cortex (mPFC). In this study, we showed that during aggressive behavior, the activity of GABAergic neurons in the prelimbic area (PL) of the mPFC was significantly suppressed. Specific activation of GABAergic PL neurons significantly curbed male-to-male aggression and inhibited conditioned place preference (CPP) for aggression-paired contexts, whereas specific inhibition of GABAergic PL neurons brought about the opposite effect. Moreover, GABAergic projections from PL neurons to the lateral hypothalamus (LH) orexinergic neurons mediated aggressive behavior. Finally, directly modulated LH-orexinergic neurons influence aggressive behavior. These results suggest that GABAergic PL-orexinergic LH projection is an important control circuit for intermale aggressive behavior, both of which could be targets for curbing aggression.
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Affiliation(s)
- Fuhai Bai
- Department of Anesthesiology, Xinqiao Hospital, Army Medical University, Chongqing 400037, China
| | - Lu Huang
- Department of Anesthesiology, Xinqiao Hospital, Army Medical University, Chongqing 400037, China
| | - Jiao Deng
- Department of Anesthesiology and Perioperative Medicine, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi 710032, China
| | - Zonghong Long
- Department of Anesthesiology, Xinqiao Hospital, Army Medical University, Chongqing 400037, China
| | - Xianglin Hao
- Department of Pathology, Xinqiao Hospital, Army Medical University, Chongqing 400037, P.R. China
| | - Penghui Chen
- Department of Neurobiology, Chongqing Key Laboratory of Neurobiology, Army Medical University, Chongqing 400038, China
| | - Guangyan Wu
- Experimental Center of Basic Medicine, College of Basic Medical Sciences, Army Medical University, Chongqing 400038, China
| | - Huizhong Wen
- Department of Neurobiology, Chongqing Key Laboratory of Neurobiology, Army Medical University, Chongqing 400038, China
| | - Qiangting Deng
- Editorial Office of Journal of Army Medical University, Chongqing 400038, China
| | - Xiaohang Bao
- Department of Anesthesiology, Xinqiao Hospital, Army Medical University, Chongqing 400037, China
| | - Jing Huang
- Department of Anesthesiology, Xinqiao Hospital, Army Medical University, Chongqing 400037, China
| | - Ming Yang
- Department of Anesthesiology, Xinqiao Hospital, Army Medical University, Chongqing 400037, China
| | - Defeng Li
- Clinical Medical Research Center, Xinqiao Hospital, Army Medical University, Chongqing 400037, China
| | - Yukun Ren
- Department of Anesthesiology, Xinqiao Hospital, Army Medical University, Chongqing 400037, China
| | - Min Zhang
- Department of Anesthesiology, Xinqiao Hospital, Army Medical University, Chongqing 400037, China
| | - Ying Xiong
- Department of Neurobiology, Chongqing Key Laboratory of Neurobiology, Army Medical University, Chongqing 400038, China
| | - Hong Li
- Department of Anesthesiology, Xinqiao Hospital, Army Medical University, Chongqing 400037, China
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9
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Mahmoudian B, Dalal H, Lau J, Corrigan B, Abbas M, Barker K, Rankin A, Chen ECS, Peters T, Martinez-Trujillo JC. A method for chronic and semi-chronic microelectrode array implantation in deep brain structures using image guided neuronavigation. J Neurosci Methods 2023; 397:109948. [PMID: 37572883 DOI: 10.1016/j.jneumeth.2023.109948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 07/17/2023] [Accepted: 08/09/2023] [Indexed: 08/14/2023]
Abstract
BACKGROUND Accurate targeting of brain structures for in-vivo electrophysiological recordings is essential for basic as well as clinical neuroscience research. Although methodologies for precise targeting and recording from the cortical surface are abundant, such protocols are scarce for deep brain structures. NEW METHOD We have incorporated stable fiducial markers within a custom cranial cap for improved image-guided neuronavigation targeting of subcortical structures in macaque monkeys. Anchor bolt chambers allowed for a minimally invasive entrance into the brain for chronic recordings. A 3D-printed microdrive allowed for semi-chronic applications. RESULTS We achieved an average Euclidean targeting error of 1.6 mm and a radial error of 1.2 mm over three implantations in two animals. Chronic and semi-chronic implantations allowed for recording of extracellular neuronal activity, with single-neuron activity examples shown from one macaque monkey. COMPARISON WITH EXISTING METHOD(S) Traditional stereotactic methods ignore individual anatomical variability. Our targeting approach allows for a flexible, subject-specific surgical plan with targeting errors lower than what is reported in humans, and equal to or lower than animal models using similar methods. Utilizing an anchor bolt as a chamber reduced the craniotomy size needed for electrode implantation, compared to conventional large access chambers which are prone to infection. Installation of an in-house, 3D-printed, screw-to-mount mechanical microdrive is in contrast to existing semi-chronic methods requiring fabrication, assembly, and installation of complex parts. CONCLUSIONS Leveraging commercially available tools for implantation, our protocol decreases the risk of infection from open craniotomies, and improves the accuracy of chronic electrode implantations targeting deep brain structures in large animal models.
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Affiliation(s)
- Borna Mahmoudian
- Department of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, Robarts Research Institute and Brain and Mind Institute, University of Western Ontario, 1151 Richmond St. N., London, ON N6A 5B7, Canada
| | - Hitarth Dalal
- Department of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, Robarts Research Institute and Brain and Mind Institute, University of Western Ontario, 1151 Richmond St. N., London, ON N6A 5B7, Canada
| | - Jonathan Lau
- Department of Clinical Neurological Sciences, Division of Neurosurgery, London Health Sciences Centre, University of Western Ontario, 1151 Richmond St. N., London, ON N6A 5B7, Canada; School of Biomedical Engineering, University of Western Ontario, 1151 Richmond St. N., London, ON N6A 5B7, Canada; Imaging Research Laboratories, Robarts Research Institute, University of Western Ontario, 1151 Richmond St. N., London, ON N6A 5B7, Canada
| | - Benjamin Corrigan
- Department of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, Robarts Research Institute and Brain and Mind Institute, University of Western Ontario, 1151 Richmond St. N., London, ON N6A 5B7, Canada
| | - Mohamad Abbas
- Department of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, Robarts Research Institute and Brain and Mind Institute, University of Western Ontario, 1151 Richmond St. N., London, ON N6A 5B7, Canada; Department of Clinical Neurological Sciences, Division of Neurosurgery, London Health Sciences Centre, University of Western Ontario, 1151 Richmond St. N., London, ON N6A 5B7, Canada
| | | | - Adam Rankin
- Imaging Research Laboratories, Robarts Research Institute, University of Western Ontario, 1151 Richmond St. N., London, ON N6A 5B7, Canada
| | - Elvis C S Chen
- School of Biomedical Engineering, University of Western Ontario, 1151 Richmond St. N., London, ON N6A 5B7, Canada; Imaging Research Laboratories, Robarts Research Institute, University of Western Ontario, 1151 Richmond St. N., London, ON N6A 5B7, Canada; Department of Medical Biophysics, University of Western Ontario, 1151 Richmond St. N., London, ON N6A 5B7, Canada; Lawson Health Research Institute, 750 Base Line Road East Suite 300, London, ON N6C2R5, Canada; Department of Electrical and Computer Engineering, Thompson Engineering Building, University of Western Ontario, London, ON, N6A 5B9, Canada
| | - Terry Peters
- Imaging Research Laboratories, Robarts Research Institute, University of Western Ontario, 1151 Richmond St. N., London, ON N6A 5B7, Canada; Center for Functional and Metabolic Mapping, Robarts Research Institute, Department of Medical Biophysics and Brain and Mind Institute, University of Western Ontario, 1151 Richmond St. N., London, ON N6A 5B7, Canada
| | - Julio C Martinez-Trujillo
- Department of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, Robarts Research Institute and Brain and Mind Institute, University of Western Ontario, 1151 Richmond St. N., London, ON N6A 5B7, Canada; Lawson Health Research Institute, 750 Base Line Road East Suite 300, London, ON N6C2R5, Canada.
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10
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Putnam PT, Chu CCJ, Fagan NA, Dal Monte O, Chang SWC. Dissociation of vicarious and experienced rewards by coupling frequency within the same neural pathway. Neuron 2023; 111:2513-2522.e4. [PMID: 37348507 PMCID: PMC10527039 DOI: 10.1016/j.neuron.2023.05.020] [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: 01/05/2023] [Revised: 04/05/2023] [Accepted: 05/24/2023] [Indexed: 06/24/2023]
Abstract
Vicarious reward, essential to social learning and decision making, is theorized to engage select brain regions similarly to experienced reward to generate a shared experience. However, it is just as important for neural systems to also differentiate vicarious from experienced rewards for social interaction. Here, we investigated the neuronal interaction between the primate anterior cingulate cortex gyrus (ACCg) and the basolateral amygdala (BLA) when social choices made by monkeys led to either vicarious or experienced reward. Coherence between ACCg spikes and BLA local field potential (LFP) selectively increased in gamma frequencies for vicarious reward, whereas it selectively increased in alpha/beta frequencies for experienced reward. These respectively enhanced couplings for vicarious and experienced rewards were uniquely observed following voluntary choices. Moreover, reward outcomes had consistently strong directional influences from ACCg to BLA. Our findings support a mechanism of vicarious reward where social agency is tagged by interareal coordination frequency within the same shared pathway.
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Affiliation(s)
- Philip T Putnam
- Department of Psychology, Yale University, New Haven, CT 06511, USA
| | - Cheng-Chi J Chu
- Department of Psychology, Yale University, New Haven, CT 06511, USA
| | - Nicholas A Fagan
- Department of Psychology, Yale University, New Haven, CT 06511, USA
| | - Olga Dal Monte
- Department of Psychology, Yale University, New Haven, CT 06511, USA; Department of Psychology, University of Turin, Torino, Italy
| | - Steve W C Chang
- Department of Psychology, Yale University, New Haven, CT 06511, USA; Department of Neuroscience, Yale University School of Medicine, New Haven, CT 06510, USA; Kavli Institute for Neuroscience, Yale University School of Medicine, New Haven, CT 06510, USA; Wu Tsai Institute, Yale University, New Haven, CT 06510, USA.
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11
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Dunbar RIM, Shultz S. Four errors and a fallacy: pitfalls for the unwary in comparative brain analyses. Biol Rev Camb Philos Soc 2023; 98:1278-1309. [PMID: 37001905 DOI: 10.1111/brv.12953] [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: 09/09/2022] [Revised: 03/17/2023] [Accepted: 03/17/2023] [Indexed: 04/03/2023]
Abstract
Comparative analyses are the backbone of evolutionary analysis. However, their record in producing a consensus has not always been good. This is especially true of attempts to understand the factors responsible for the evolution of large brains, which have been embroiled in an increasingly polarised debate over the past three decades. We argue that most of these disputes arise from a number of conceptual errors and associated logical fallacies that are the result of a failure to adopt a biological systems-based approach to hypothesis-testing. We identify four principal classes of error: a failure to heed Tinbergen's Four Questions when testing biological hypotheses, misapplying Dobzhansky's Dictum when testing hypotheses of evolutionary adaptation, poorly chosen behavioural proxies for underlying hypotheses, and the use of inappropriate statistical methods. In the interests of progress, we urge a more careful and considered approach to comparative analyses, and the adoption of a broader, rather than a narrower, taxonomic perspective.
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Affiliation(s)
- Robin I M Dunbar
- Department of Experimental Psychology, Anna Watts Building, University of Oxford, Oxford, OX2 6GG, UK
| | - Susanne Shultz
- Department of Earth and Environmental Sciences, Michael Smith Building, University of Manchester, Manchester, M13 9PT, UK
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12
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Giacometti C, Amiez C, Hadj-Bouziane F. Multiple routes of communication within the amygdala-mPFC network: A comparative approach in humans and macaques. CURRENT RESEARCH IN NEUROBIOLOGY 2023; 5:100103. [PMID: 37601951 PMCID: PMC10432920 DOI: 10.1016/j.crneur.2023.100103] [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: 10/10/2022] [Revised: 06/14/2023] [Accepted: 07/15/2023] [Indexed: 08/22/2023] Open
Abstract
The network formed by the amygdala (AMG) and the medial Prefrontal Cortex (mPFC), at the interface between our internal and external environment, has been shown to support some important aspects of behavioral adaptation. Whether and how the anatomo-functional organization of this network evolved across primates remains unclear. Here, we compared AMG nuclei morphological characteristics and their functional connectivity with the mPFC in humans and macaques to identify potential homologies and differences between these species. Based on selected studies, we highlight two subsystems within the AMG-mPFC circuits, likely involved in distinct temporal dynamics of integration during behavioral adaptation. We also show that whereas the mPFC displays a large expansion but a preserved intrinsic anatomo-functional organization, the AMG displays a volume reduction and morphological changes related to specific nuclei. We discuss potential commonalities and differences in the dialogue between AMG nuclei and mPFC in humans and macaques based on available data.
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Affiliation(s)
- C. Giacometti
- Univ Lyon, Université Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500, Bron, France
| | - C. Amiez
- Univ Lyon, Université Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 69500, Bron, France
| | - F. Hadj-Bouziane
- Integrative Multisensory Perception Action & Cognition Team (ImpAct), INSERM U1028, CNRS UMR5292, Lyon Neuroscience Research Center (CRNL), University of Lyon 1, Lyon, France
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13
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Ng B, Tasaki S, Greathouse KM, Walker CK, Zhang A, Covitz S, Cieslak M, Adamson AB, Andrade JP, Poovey EH, Curtis KA, Muhammad HM, Seidlitz J, Satterthwaite T, Bennett DA, Seyfried NT, Vogel J, Gaiteri C, Herskowitz JH. A Molecular Basis of Human Brain Connectivity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.20.549895. [PMID: 37546752 PMCID: PMC10401931 DOI: 10.1101/2023.07.20.549895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Neuroimaging is commonly used to infer human brain connectivity, but those measurements are far-removed from the molecular underpinnings at synapses. To uncover the molecular basis of human brain connectivity, we analyzed a unique cohort of 98 individuals who provided neuroimaging and genetic data contemporaneous with dendritic spine morphometric, proteomic, and gene expression data from the superior frontal and inferior temporal gyri. Through cellular contextualization of the molecular data with dendritic spine morphology, we identified hundreds of proteins related to synapses, energy metabolism, and RNA processing that explain between-individual differences in functional connectivity and structural covariation. By integrating data at the genetic, molecular, subcellular, and tissue levels, we bridged the divergent fields of molecular biology and neuroimaging to identify a molecular basis of brain connectivity. One-Sentence Summary Dendritic spine morphometry and synaptic proteins unite the divergent fields of molecular biology and neuroimaging.
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14
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Tusche A, Spunt RP, Paul LK, Tyszka JM, Adolphs R. Neural signatures of social inferences predict the number of real-life social contacts and autism severity. Nat Commun 2023; 14:4399. [PMID: 37474575 PMCID: PMC10359299 DOI: 10.1038/s41467-023-40078-3] [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: 09/26/2019] [Accepted: 07/12/2023] [Indexed: 07/22/2023] Open
Abstract
We regularly infer other people's thoughts and feelings from observing their actions, but how this ability contributes to successful social behavior and interactions remains unknown. We show that neural activation patterns during social inferences obtained in the laboratory predict the number of social contacts in the real world, as measured by the social network index, in three neurotypical samples (total n = 126) and one sample of autistic adults (n = 23). We also show that brain patterns during social inference generalize across individuals in these groups. Cross-validated associations between brain activations and social inference localize selectively to the right posterior superior temporal sulcus and were specific for social, but not nonsocial, inference. Activation within this same brain region also predicts autism-like trait scores from questionnaires and autism symptom severity. Thus, neural activations produced while thinking about other people's mental states predict variance in multiple indices of social functioning in the real world.
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Affiliation(s)
- Anita Tusche
- Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, 91125, USA.
- Department of Psychology, Queen's University, Kingston, Ontario, K7L 3N6, Canada.
| | - Robert P Spunt
- Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Lynn K Paul
- Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Julian M Tyszka
- Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Ralph Adolphs
- Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, 91125, USA
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
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15
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Howard AFD, Huszar IN, Smart A, Cottaar M, Daubney G, Hanayik T, Khrapitchev AA, Mars RB, Mollink J, Scott C, Sibson NR, Sallet J, Jbabdi S, Miller KL. An open resource combining multi-contrast MRI and microscopy in the macaque brain. Nat Commun 2023; 14:4320. [PMID: 37468455 DOI: 10.1038/s41467-023-39916-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 07/03/2023] [Indexed: 07/21/2023] Open
Abstract
Understanding brain structure and function often requires combining data across different modalities and scales to link microscale cellular structures to macroscale features of whole brain organisation. Here we introduce the BigMac dataset, a resource combining in vivo MRI, extensive postmortem MRI and multi-contrast microscopy for multimodal characterisation of a single whole macaque brain. The data spans modalities (MRI and microscopy), tissue states (in vivo and postmortem), and four orders of spatial magnitude, from microscopy images with micrometre or sub-micrometre resolution, to MRI signals on the order of millimetres. Crucially, the MRI and microscopy images are carefully co-registered together to facilitate quantitative multimodal analyses. Here we detail the acquisition, curation, and first release of the data, that together make BigMac a unique, openly-disseminated resource available to researchers worldwide. Further, we demonstrate example analyses and opportunities afforded by the data, including improvement of connectivity estimates from ultra-high angular resolution diffusion MRI, neuroanatomical insight provided by polarised light imaging and myelin-stained histology, and the joint analysis of MRI and microscopy data for reconstruction of the microscopy-inspired connectome. All data and code are made openly available.
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Affiliation(s)
- Amy F D Howard
- Wellcome Centre for Integrative Neuroimaging, FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
| | - Istvan N Huszar
- Wellcome Centre for Integrative Neuroimaging, FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Adele Smart
- Wellcome Centre for Integrative Neuroimaging, FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Division of Clinical Neurology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Michiel Cottaar
- Wellcome Centre for Integrative Neuroimaging, FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Greg Daubney
- Wellcome Centre for Integrative Neuroimaging, Experimental Psychology, Medical Sciences Division, University of Oxford, Oxford, UK
| | - Taylor Hanayik
- Wellcome Centre for Integrative Neuroimaging, FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | | | - Rogier B Mars
- Wellcome Centre for Integrative Neuroimaging, FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Jeroen Mollink
- Wellcome Centre for Integrative Neuroimaging, FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Connor Scott
- Division of Clinical Neurology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | | | - Jerome Sallet
- Wellcome Centre for Integrative Neuroimaging, Experimental Psychology, Medical Sciences Division, University of Oxford, Oxford, UK
| | - Saad Jbabdi
- Wellcome Centre for Integrative Neuroimaging, FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Karla L Miller
- Wellcome Centre for Integrative Neuroimaging, FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
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16
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Su F, Wang Y, Wei M, Wang C, Wang S, Yang L, Li J, Yuan P, Luo DG, Zhang C. Noninvasive Tracking of Every Individual in Unmarked Mouse Groups Using Multi-Camera Fusion and Deep Learning. Neurosci Bull 2023; 39:893-910. [PMID: 36571715 PMCID: PMC10264345 DOI: 10.1007/s12264-022-00988-6] [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: 05/14/2022] [Accepted: 08/29/2022] [Indexed: 12/27/2022] Open
Abstract
Accurate and efficient methods for identifying and tracking each animal in a group are needed to study complex behaviors and social interactions. Traditional tracking methods (e.g., marking each animal with dye or surgically implanting microchips) can be invasive and may have an impact on the social behavior being measured. To overcome these shortcomings, video-based methods for tracking unmarked animals, such as fruit flies and zebrafish, have been developed. However, tracking individual mice in a group remains a challenging problem because of their flexible body and complicated interaction patterns. In this study, we report the development of a multi-object tracker for mice that uses the Faster region-based convolutional neural network (R-CNN) deep learning algorithm with geometric transformations in combination with multi-camera/multi-image fusion technology. The system successfully tracked every individual in groups of unmarked mice and was applied to investigate chasing behavior. The proposed system constitutes a step forward in the noninvasive tracking of individual mice engaged in social behavior.
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Affiliation(s)
- Feng Su
- Department of Neurobiology, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Capital Medical University, Beijing, 100069, China
- Chinese Institute for Brain Research, Beijing, 102206, China
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Nanjing, 210000, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China
| | - Yangzhen Wang
- School of Life Sciences, Tsinghua University, Beijing, 100084, China
| | - Mengping Wei
- Department of Neurobiology, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Capital Medical University, Beijing, 100069, China
| | - Chong Wang
- School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
| | - Shaoli Wang
- The Key Laboratory of Developmental Genes and Human Disease, Institute of Life Sciences, Southeast University, Nanjing, 210096, Jiangsu, China
| | - Lei Yang
- Department of Neurobiology, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Capital Medical University, Beijing, 100069, China
| | - Jianmin Li
- Institute for Artificial Intelligence, the State Key Laboratory of Intelligence Technology and Systems, Beijing National Research Center for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China
| | - Peijiang Yuan
- School of Mechanical Engineering and Automation, Beihang University, Beijing, 100191, China.
| | - Dong-Gen Luo
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China.
| | - Chen Zhang
- Department of Neurobiology, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Capital Medical University, Beijing, 100069, China.
- Chinese Institute for Brain Research, Beijing, 102206, China.
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Nanjing, 210000, China.
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17
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Liehrmann O, Cosnard C, Riihonen V, Viitanen A, Alander E, Jardat P, Koski SE, Lummaa V, Lansade L. What drives horse success at following human-given cues? An investigation of handler familiarity and living conditions. Anim Cogn 2023:10.1007/s10071-023-01775-0. [PMID: 37072511 PMCID: PMC10113126 DOI: 10.1007/s10071-023-01775-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 04/04/2023] [Indexed: 04/20/2023]
Abstract
Cues such as the human pointing gesture, gaze or proximity to an object are widely used in behavioural studies to evaluate animals' abilities to follow human-given cues. Many domestic mammals, such as horses, can follow human cues; however, factors influencing their responses are still unclear. We assessed the performance of 57 horses at a two-way choice task testing their ability to follow cues of either a familiar (N = 28) or an unfamiliar informant (N = 29). We investigated the effects of the length of the relationship between the horse and a familiar person (main caregiver), their social environment (living alone, in dyads, or in groups) and their physical environment (living in stalls/paddocks, alternating between paddocks and pastures, or living full time in pastures). We also controlled for the effects of horses' age and sex. Our results showed that horses' success rate at the task was not affected by the familiarity of the informant and did not improve with the relationship length with the familiar informant but did increase with the age of the horses. Horses living in groups had better success than the ones kept either in dyads or alone. Finally, horses housed in small paddocks had lower success than those living on pasture. These results indicate that with age, horses get better at following human-given indications regardless of who the human informant is and that an appropriate living and social environment could contribute to the development of socio-cognitive skills towards humans. Therefore, such aspects should be considered in studies evaluating animal behaviour.
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Affiliation(s)
- Océane Liehrmann
- Department of Biology, University of Turku, Vesilinnantie 5, Natura Building, 20500, Turku, Finland.
| | - Camille Cosnard
- Department of Biology, University of Turku, Vesilinnantie 5, Natura Building, 20500, Turku, Finland
| | - Veera Riihonen
- Department of Biology, University of Turku, Vesilinnantie 5, Natura Building, 20500, Turku, Finland
| | - Alisa Viitanen
- Department of Biology, University of Turku, Vesilinnantie 5, Natura Building, 20500, Turku, Finland
| | - Emmi Alander
- Department of Biology, University of Turku, Vesilinnantie 5, Natura Building, 20500, Turku, Finland
| | - Plotine Jardat
- CNRS, IFCE, INRAE, Université de Tours, PRC, 37380, Nouzilly, France
| | - Sonja E Koski
- Department of Biology, University of Turku, Vesilinnantie 5, Natura Building, 20500, Turku, Finland
- Organismal and Evolutionary Biology Research Programme, University of Helsinki, 00014, Helsinki, Finland
| | - Virpi Lummaa
- Department of Biology, University of Turku, Vesilinnantie 5, Natura Building, 20500, Turku, Finland
| | - Léa Lansade
- CNRS, IFCE, INRAE, Université de Tours, PRC, 37380, Nouzilly, France
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18
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Kieckhaefer C, Schilbach L, Bzdok D. Social belonging: brain structure and function is linked to membership in sports teams, religious groups, and social clubs. Cereb Cortex 2023; 33:4405-4420. [PMID: 36161309 PMCID: PMC10110433 DOI: 10.1093/cercor/bhac351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 07/08/2022] [Accepted: 07/08/2022] [Indexed: 11/12/2022] Open
Abstract
Human behavior across the life span is driven by the psychological need to belong, right from kindergarten to bingo nights. Being part of social groups constitutes a backbone for communal life and confers many benefits for the physical and mental health. Capitalizing on the neuroimaging and behavioral data from ∼40,000 participants from the UK Biobank population cohort, we used structural and functional analyses to explore how social participation is reflected in the human brain. Across 3 different types of social groups, structural analyses point toward the variance in ventromedial prefrontal cortex, fusiform gyrus, and anterior cingulate cortex as structural substrates tightly linked to social participation. Functional connectivity analyses not only emphasized the importance of default mode and limbic network but also showed differences for sports teams and religious groups as compared to social clubs. Taken together, our findings establish the structural and functional integrity of the default mode network as a neural signature of social belonging.
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Affiliation(s)
- Carolin Kieckhaefer
- LVR Klinikum Düsseldorf, Department of Psychiatry and Psychotherapy, Heinrich-Heine-University Düsseldorf, Bergische Landstraße 2, 40629 Düsseldorf, Germany
| | - Leonhard Schilbach
- LVR Klinikum Düsseldorf, Department of Psychiatry and Psychotherapy, Heinrich-Heine-University Düsseldorf, Bergische Landstraße 2, 40629 Düsseldorf, Germany
- Medical Faculty, Ludwig Maximilians University, Bavariaring 19, 80336 Munich, Germany
| | - Danilo Bzdok
- McConnell Brain Imaging Centre, Faculty of Medicine and Health Sciences, Montreal Neurological Institute (MNI), McGill University, 3801 rue University, Montreal, Quebec H3A 2B4, Canada
- Department of Biomedical Engineering, Faculty of Medicine and Health Sciences, McGill University, 3775 rue University, Montreal, Quebec H3A 2B4, Canada
- Mila - Quebec Artificial Intelligence Institute, 6666 rue Saint-Urbain, Montreal, Quebec H2S 3H1, Canada
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19
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Home alone: A population neuroscience investigation of brain morphology substrates. Neuroimage 2023; 269:119936. [PMID: 36781113 DOI: 10.1016/j.neuroimage.2023.119936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 02/07/2023] [Accepted: 02/08/2023] [Indexed: 02/13/2023] Open
Abstract
As a social species, ready exchange with peers is a pivotal asset - our "social capital". Yet, single-person households have come to pervade metropolitan cities worldwide, with unknown consequences in the long run. Here, we systematically explore the morphological manifestations associated with singular living in ∼40,000 UK Biobank participants. The uncovered population-level signature spotlights the highly associative default mode network, in addition to findings such as in the amygdala central, cortical and corticoamygdaloid nuclei groups, as well as the hippocampal fimbria and dentate gyrus. Both positive effects, equating to greater gray matter volume associated with living alone, and negative effects, which can be interpreted as greater gray matter associations with not living alone, were found across the cortex and subcortical structures Sex-stratified analyses revealed male-specific neural substrates, including somatomotor, saliency and visual systems, while female-specific neural substrates centered on the dorsomedial prefrontal cortex. In line with our demographic profiling results, the discovered neural pattern of living alone is potentially linked to alcohol and tobacco consumption, anxiety, sleep quality as well as daily TV watching. The persistent trend for solitary living will require new answers from public-health decision makers. SIGNIFICANCE STATEMENT: Living alone has profound consequences for mental and physical health. Despite this, there has been a rapid increase in single-person households worldwide, with the long-term consequences yet unknown. In the largest study of its kind, we investigate how the objective lack of everyday social interaction, through living alone, manifests in the brain. Our population neuroscience approach uncovered a gray matter signature that converged on the 'default network', alongside targeted subcortical, sex and demographic profiling analyses. The human urge for social relationships is highlighted by the evolving COVID-19 pandemic. Better understanding of how social isolation relates to the brain will influence health and social policy decision-making of pandemic planning, as well as social interventions in light of global shifts in houseful structures.
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20
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Wittmann MK, Scheuplein M, Gibbons SG, Noonan MP. Local and global reward learning in the lateral frontal cortex show differential development during human adolescence. PLoS Biol 2023; 21:e3002010. [PMID: 36862726 PMCID: PMC10013901 DOI: 10.1371/journal.pbio.3002010] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 03/14/2023] [Accepted: 01/20/2023] [Indexed: 03/03/2023] Open
Abstract
Reward-guided choice is fundamental for adaptive behaviour and depends on several component processes supported by prefrontal cortex. Here, across three studies, we show that two such component processes, linking reward to specific choices and estimating the global reward state, develop during human adolescence and are linked to the lateral portions of the prefrontal cortex. These processes reflect the assignment of rewards contingently to local choices, or noncontingently, to choices that make up the global reward history. Using matched experimental tasks and analysis platforms, we show the influence of both mechanisms increase during adolescence (study 1) and that lesions to lateral frontal cortex (that included and/or disconnected both orbitofrontal and insula cortex) in human adult patients (study 2) and macaque monkeys (study 3) impair both local and global reward learning. Developmental effects were distinguishable from the influence of a decision bias on choice behaviour, known to depend on medial prefrontal cortex. Differences in local and global assignments of reward to choices across adolescence, in the context of delayed grey matter maturation of the lateral orbitofrontal and anterior insula cortex, may underlie changes in adaptive behaviour.
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Affiliation(s)
- Marco K. Wittmann
- Department of Experimental Psychology, University of Oxford, Radcliffe Observatory, Oxford, United Kingdom
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom
- Department of Experimental Psychology, University College London, London, United Kingdom
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, United Kingdom
| | - Maximilian Scheuplein
- Department of Experimental Psychology, University of Oxford, Radcliffe Observatory, Oxford, United Kingdom
- Institute of Education and Child Studies, Leiden University, Leiden, the Netherlands
| | - Sophie G. Gibbons
- Department of Experimental Psychology, University of Oxford, Radcliffe Observatory, Oxford, United Kingdom
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom
| | - MaryAnn P. Noonan
- Department of Experimental Psychology, University of Oxford, Radcliffe Observatory, Oxford, United Kingdom
- Department of Psychology, University of York, York, United Kingdom
- * E-mail:
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21
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Godfrey JR, Howell BR, Mummert A, Shi Y, Styner M, Wilson ME, Sanchez M. Effects of social rank and pubertal delay on brain structure in female rhesus macaques. Psychoneuroendocrinology 2023; 149:105987. [PMID: 36529113 PMCID: PMC9931669 DOI: 10.1016/j.psyneuen.2022.105987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 11/20/2022] [Accepted: 11/21/2022] [Indexed: 12/05/2022]
Abstract
Adverse social experience during childhood and adolescence leads to developmental alterations in emotional and stress regulation and underlying neurocircuits. We examined the consequences of social subordination (low social rank) in juvenile female rhesus monkeys, as an ethologically valid model of chronic social stressor exposure, on brain structural and behavioral development through the pubertal transition. Adolescence is a developmental period of extensive brain remodeling and increased emotional and stress reactivity. Puberty-induced increases in gonadal hormones, particularly estradiol (E2), are likely involved due to its organizational effects on the brain and behavior. Thus, we also examined how experimentally delaying pubertal onset with Lupron (gonadotropin releasing hormone -GnRH- agonist used clinically to delay early puberty) interacted with social rank (dominant vs. subordinate) to affect brain and behavioral outcomes. Using a longitudinal experimental design, structural MRI (sMRI) scans were collected on socially housed juvenile female rhesus monkeys living in indoor-outdoor enclosures prior to the onset of puberty (18-25 months), defined as menarche or the initial occurrence of perineal swelling and coloration, and again at 29-36 months, when all control animals had reached puberty but none of the Lupron-treated had. We examined the effects of both social rank and pubertal delay on overall structural brain volume (i.e. intracranial, grey matter (GM) and white matter (WM) volumes), as well as on cortico-limbic regions involved in emotion and stress regulation: amygdala (AMYG), hippocampus (HC), and prefrontal cortex (PFC). Measures of stress physiology, social behavior, and emotional reactivity were collected to examine functional correlates of the brain structural effects. Apart from expected developmental effects, subordinates had bigger AMYG volumes than dominant animals, most notably in the right hemisphere, but pubertal delay with Lupron-treatment abolished those differences, suggesting a role of gonadal hormones potentiating the brain structural impact of social stress. Subordinates also had elevated baseline cortisol, indicating activation of stress systems. In general, Lupron-treated subjects had smaller AMYG and HC volume than controls, but larger total PFC (driven by bigger GM volumes), and different, region-specific, developmental patterns dependent on age and social rank. These findings highlight a region-specific effect of E2 on structural development during female adolescence, independent of those due to chronological age. Pubertal delay and AMYG volume, in turn, predicted differences in emotional reactivity and social behavior. These findings suggest that exposure to developmental increases in E2 modifies the consequences of adverse social experience on the volume of cortico-limbic regions involved in emotional and stress regulation during maturation. But, even more importantly, they indicate different brain structural effects of chronological age and pubertal developmental stage in females, which are very difficult to disentangle in human studies. These findings have additional relevance for young girls who experience prolonged pubertal delays or for those whose puberty is clinically arrested by pharmacological administration of Lupron.
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Affiliation(s)
- Jodi R Godfrey
- Yerkes National Primate Research Center, Emory University, 954 Gatewood Road, Atlanta, GA 30329, USA
| | - Brittany R Howell
- Yerkes National Primate Research Center, Emory University, 954 Gatewood Road, Atlanta, GA 30329, USA; Department of Psychiatry & Behavioral Sciences, School of Medicine, Emory University, 12 Executive Park Drive NE #200, Atlanta, GA 30322, USA; Fralin Biomedical Research Institute at Virginia Tech Carilion, 2 Riverside Circle, Roanoke, VA 24016, USA; Department of Human Development and Family Science, Virginia Tech, 366 Wallace Hall, 295 West Campus Drive, Blacksburg, VA 24061, USA
| | - Amanda Mummert
- Department of Anthropology, Emory University, 1557 Dickey Drive, Atlanta, GA 30322, USA
| | - Yundi Shi
- Department of Psychiatry, University of North Carolina, 352 Medical School Wing C, Chapel Hill, NC 27599, USA
| | - Martin Styner
- Department of Psychiatry, University of North Carolina, 352 Medical School Wing C, Chapel Hill, NC 27599, USA
| | - Mark E Wilson
- Yerkes National Primate Research Center, Emory University, 954 Gatewood Road, Atlanta, GA 30329, USA; Department of Psychiatry & Behavioral Sciences, School of Medicine, Emory University, 12 Executive Park Drive NE #200, Atlanta, GA 30322, USA
| | - Mar Sanchez
- Yerkes National Primate Research Center, Emory University, 954 Gatewood Road, Atlanta, GA 30329, USA; Department of Psychiatry & Behavioral Sciences, School of Medicine, Emory University, 12 Executive Park Drive NE #200, Atlanta, GA 30322, USA.
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22
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Zhang X, Chen Y, Tang Y, Zhang Y, Zhang X, Su D. Efficiency of probiotics in elderly patients undergoing orthopedic surgery for postoperative cognitive dysfunction: a study protocol for a multicenter, randomized controlled trial. Trials 2023; 24:146. [PMID: 36841790 PMCID: PMC9960477 DOI: 10.1186/s13063-023-07167-6] [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: 07/21/2022] [Accepted: 02/14/2023] [Indexed: 02/27/2023] Open
Abstract
BACKGROUND Postoperative cognitive dysfunction (POCD) refers to a neurological dysfunction after a major surgery and anesthesia. It is common in elderly patients and is characterized by impairment in consciousness, orientation, thinking, memory, and executive function after surgical anesthesia. However, at present, there is no definite preventive or treatable strategy for it. Previous animal experiments showed that giving probiotics to mice before operation can prevent POCD, but there is a lack of clinical evidence. This study aims to intervene with the intestinal flora imbalance using probiotics during the perioperative period to reduce the incidence of POCD in elderly patients after orthopedic surgery and to provide new ideas and methods for the clinical prevention and treatment of POCD. METHODS A multicenter, double-blind, placebo-controlled clinical trial will be performed to evaluate the efficacy of probiotics in elderly patients undergoing orthopedic surgery. Participants (n = 220) will receive probiotics (Peifeikang, Live Combined Bifidobacterium, 210 mg per capsule, twice a day, four capsules each time, which contains Bifidobacterium longum, Lactobacillus acidophilus and Streptococcus faecalis no less than 1.0 × 107 CFU viable bacteria respectively) or placebo from 1 day before surgery to 6 days after surgery. Neuropsychological tests will be performed 1 day before surgery and 1 week and 1 month after surgery. The main outcome of this study is the incidence of POCD 7 days after surgery. Our secondary objective is to assess the incidence of POCD 1 month after surgery; the cognitive status will be determined based on a telephone interview and will be evaluated via TICS-m; postoperative delirium will be assessed 7 days after surgery using the Confusion Assessment Method (CAM). DISCUSSION Discovering the correlation between the intestinal microbiota and POCD is an important breakthrough. Based on the key role of the intestinal microbiota in other cognitive disorders, we hope that probiotics can reduce its incidence in elderly orthopedic patients. TRIAL REGISTRATION ClinicalTrials.gov NCT04017403. Registered on August 15, 2019.
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Affiliation(s)
- Xiaoyi Zhang
- grid.16821.3c0000 0004 0368 8293Department of Anaesthesiology, Renji Hospital, Shanghai Jiaotong University School of Medicine, 160 Pujian Road, Shanghai, 200127 China
| | - Yuwen Chen
- grid.16821.3c0000 0004 0368 8293Department of Anaesthesiology, Renji Hospital, Shanghai Jiaotong University School of Medicine, 160 Pujian Road, Shanghai, 200127 China
| | - Ying Tang
- grid.16821.3c0000 0004 0368 8293Department of Anaesthesiology, Renji Hospital, Shanghai Jiaotong University School of Medicine, 160 Pujian Road, Shanghai, 200127 China
| | - Yizhe Zhang
- grid.16821.3c0000 0004 0368 8293Department of Anaesthesiology, Renji Hospital, Shanghai Jiaotong University School of Medicine, 160 Pujian Road, Shanghai, 200127 China
| | - Xiao Zhang
- grid.16821.3c0000 0004 0368 8293Department of Anaesthesiology, Renji Hospital, Shanghai Jiaotong University School of Medicine, 160 Pujian Road, Shanghai, 200127 China
| | - Diansan Su
- Department of Anaesthesiology, Renji Hospital, Shanghai Jiaotong University School of Medicine, 160 Pujian Road, Shanghai, 200127, China.
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23
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Trudel N, Lockwood PL, Rushworth MFS, Wittmann MK. Neural activity tracking identity and confidence in social information. eLife 2023; 12:71315. [PMID: 36763582 PMCID: PMC9917428 DOI: 10.7554/elife.71315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 12/15/2022] [Indexed: 02/11/2023] Open
Abstract
Humans learn about the environment either directly by interacting with it or indirectly by seeking information about it from social sources such as conspecifics. The degree of confidence in the information obtained through either route should determine the impact that it has on adapting and changing behaviour. We examined whether and how behavioural and neural computations differ during non-social learning as opposed to learning from social sources. Trial-wise confidence judgements about non-social and social information sources offered a window into this learning process. Despite matching exactly the statistical features of social and non-social conditions, confidence judgements were more accurate and less changeable when they were made about social as opposed to non-social information sources. In addition to subjective reports of confidence, differences were also apparent in the Bayesian estimates of participants' subjective beliefs. Univariate activity in dorsomedial prefrontal cortex and posterior temporoparietal junction more closely tracked confidence about social as opposed to non-social information sources. In addition, the multivariate patterns of activity in the same areas encoded identities of social information sources compared to non-social information sources.
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Affiliation(s)
- Nadescha Trudel
- Wellcome Centre of Integrative Neuroimaging (WIN), Department of Experimental Psychology, University of OxfordOxfordUnited Kingdom
- Wellcome Centre for Human Neuroimaging, University College LondonLondonUnited Kingdom
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College LondonLondonUnited Kingdom
| | - Patricia L Lockwood
- Centre for Human Brain Health, School of Psychology, University of BirminghamBirminghamUnited Kingdom
- Institute for Mental Health, School of Psychology, University of BirminghamBirminghamUnited Kingdom
- Centre for Developmental Science, School of Psychology, University of BirminghamBirminghamUnited Kingdom
| | - Matthew FS Rushworth
- Wellcome Centre of Integrative Neuroimaging (WIN), Department of Experimental Psychology, University of OxfordOxfordUnited Kingdom
- Wellcome Centre of Integrative Neuroimaging (WIN), Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of OxfordOxfordUnited Kingdom
| | - Marco K Wittmann
- Wellcome Centre of Integrative Neuroimaging (WIN), Department of Experimental Psychology, University of OxfordOxfordUnited Kingdom
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College LondonLondonUnited Kingdom
- Department of Experimental Psychology, University College LondonLondonUnited Kingdom
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24
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Ren Y, Savadlou A, Park S, Siska P, Epp JR, Sargin D. The impact of loneliness and social isolation on the development of cognitive decline and Alzheimer's Disease. Front Neuroendocrinol 2023; 69:101061. [PMID: 36758770 DOI: 10.1016/j.yfrne.2023.101061] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 01/19/2023] [Accepted: 02/03/2023] [Indexed: 02/09/2023]
Abstract
Alzheimer's Disease (AD) is the leading cause of dementia, observed at a higher incidence in women compared with men. Treatments aimed at improving pathology in AD remain ineffective to stop disease progression. This makes the detection of the early intervention strategies to reduce future disease risk extremely important. Isolation and loneliness have been identified among the major risk factors for AD. The increasing prevalence of both loneliness and AD emphasizes the urgent need to understand this association to inform treatment. Here we present a comprehensive review of both clinical and preclinical studies that investigated loneliness and social isolation as risk factors for AD. We discuss that understanding the mechanisms of how loneliness exacerbates cognitive impairment and AD with a focus on sex differences will shed the light for the underlying mechanisms regarding loneliness as a risk factor for AD and to develop effective prevention or treatment strategies.
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Affiliation(s)
- Yi Ren
- Department of Cell Biology and Anatomy, University of Calgary, Canada; Cumming School of Medicine, University of Calgary, Canada; Hotchkiss Brain Institute, University of Calgary, Canada
| | - Aisouda Savadlou
- Department of Psychology, University of Calgary, Canada; Hotchkiss Brain Institute, University of Calgary, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Canada
| | - Soobin Park
- Department of Psychology, University of Calgary, Canada; Hotchkiss Brain Institute, University of Calgary, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Canada
| | - Paul Siska
- Department of Psychology, University of Calgary, Canada; Hotchkiss Brain Institute, University of Calgary, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Canada
| | - Jonathan R Epp
- Department of Cell Biology and Anatomy, University of Calgary, Canada; Cumming School of Medicine, University of Calgary, Canada; Hotchkiss Brain Institute, University of Calgary, Canada
| | - Derya Sargin
- Department of Psychology, University of Calgary, Canada; Department of Physiology & Pharmacology, University of Calgary, Canada; Hotchkiss Brain Institute, University of Calgary, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Canada.
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25
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Gräßle T, Crockford C, Eichner C, Girard‐Buttoz C, Jäger C, Kirilina E, Lipp I, Düx A, Edwards L, Jauch A, Kopp KS, Paquette M, Pine K, Haun DBM, McElreath R, Anwander A, Gunz P, Morawski M, Friederici AD, Weiskopf N, Leendertz FH, Wittig RM, Albig K, Amarasekaran B, Angedakin S, Anwander A, Aschoff D, Asiimwe C, Bailanda L, Beehner JC, Belais R, Bergman TJ, Blazey B, Bernhard A, Bock C, Carlier P, Chantrey J, Crockford C, Deschner T, Düx A, Edwards L, Eichner C, Escoubas G, Ettaj M, Fedurek P, Flores K, Francke R, Friederici AD, Girard‐Buttoz C, Fortun JG, GoneBi ZB, Gräßle T, Gruber‐Dujardin E, Gunz P, Hartel J, Haun DBM, Henshall M, Hobaiter C, Hofman N, Jaffe JE, Jäger C, Jauch A, Kahemere S, Kirilina E, Klopfleisch R, Knauf‐Witzens T, Kopp KS, Kouima GLM, Lange B, Langergraber K, Lawrenz A, Leendertz FH, Lipp I, Liptovszky M, Theron TL, Lumbu CP, Nzassi PM, Mätz‐Rensing K, McElreath R, McLennan M, Mezö Z, Moittie S, Møller T, Morawski M, Morgan D, Mugabe T, Muller M, Müller M, Njumboket I, Olofsson‐Sannö K, Ondzie A, Otali E, Paquette M, Pika S, Pine K, Pizarro A, Pléh K, Rendel J, Reichler‐Danielowski S, Robbins MM, Forero AR, Ruske K, Samuni L, Sanz C, Schüle A, Schwabe I, Schwalm K, Speede S, Southern L, Steiner J, Stidworthy M, Surbeck M, Szentiks C, Tanga T, Ulrich R, Unwin S, van de Waal E, Walker S, Weiskopf N, Wibbelt G, Wittig RM, Wood K, Zuberbühler K. Sourcing high tissue quality brains from deceased wild primates with known socio‐ecology. Methods Ecol Evol 2023. [DOI: 10.1111/2041-210x.14039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Affiliation(s)
- Tobias Gräßle
- Epidemiology of highly pathogenic microorganisms Robert Koch‐Institute Berlin Germany
- Helmholtz Institute for One Health Greifswald Germany
| | - Catherine Crockford
- Ape Social Mind Lab Institute of Cognitive Science Marc Jeannerod, UMR 5229, CNRS Lyon France
- Department of Human Behavior, Ecology and Culture Max Planck Institute for Evolutionary Anthropology Leipzig Germany
- Taï Chimpanzee Project Centre Suisse de Recherches Scientifiques en Côte d'Ivoire Abidjan Ivory Coast
| | - Cornelius Eichner
- Department of Neuropsychology Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany
| | - Cédric Girard‐Buttoz
- Ape Social Mind Lab Institute of Cognitive Science Marc Jeannerod, UMR 5229, CNRS Lyon France
- Department of Human Behavior, Ecology and Culture Max Planck Institute for Evolutionary Anthropology Leipzig Germany
- Taï Chimpanzee Project Centre Suisse de Recherches Scientifiques en Côte d'Ivoire Abidjan Ivory Coast
| | - Carsten Jäger
- Department of Neurophysics Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany
- Paul Flechsig Institute ‐ Center of Neuropathology and Brain Research, Faculty of Medicine Universität Leipzig Germany
| | - Evgeniya Kirilina
- Department of Neurophysics Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany
- Center for Cognitive Neuroscience Berlin Freie Universität Berlin Berlin Germany
| | - Ilona Lipp
- Department of Neurophysics Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany
| | - Ariane Düx
- Epidemiology of highly pathogenic microorganisms Robert Koch‐Institute Berlin Germany
- Helmholtz Institute for One Health Greifswald Germany
| | - Luke Edwards
- Department of Neurophysics Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany
| | - Anna Jauch
- Department of Neurophysics Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany
| | - Kathrin S. Kopp
- Department of Comparative Cultural Psychology Max Planck Institute for Evolutionary Anthropology Leipzig Germany
| | - Michael Paquette
- Department of Neurophysics Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany
| | - Kerrin Pine
- Department of Neurophysics Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany
| | - Daniel B. M. Haun
- Department of Comparative Cultural Psychology Max Planck Institute for Evolutionary Anthropology Leipzig Germany
| | - Richard McElreath
- Department of Human Behavior, Ecology and Culture Max Planck Institute for Evolutionary Anthropology Leipzig Germany
| | - Alfred Anwander
- Department of Neuropsychology Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany
| | - Philipp Gunz
- Department of Human Evolution Max Planck Institute for Evolutionary Anthropology Leipzig Germany
| | - Markus Morawski
- Department of Neurophysics Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany
- Paul Flechsig Institute ‐ Center of Neuropathology and Brain Research, Faculty of Medicine Universität Leipzig Germany
| | - Angela D. Friederici
- Department of Neuropsychology Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany
| | - Nikolaus Weiskopf
- Department of Neurophysics Max Planck Institute for Human Cognitive and Brain Sciences Leipzig Germany
- Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences Leipzig University Leipzig Germany
| | - Fabian H. Leendertz
- Epidemiology of highly pathogenic microorganisms Robert Koch‐Institute Berlin Germany
- Helmholtz Institute for One Health Greifswald Germany
| | - Roman M. Wittig
- Ape Social Mind Lab Institute of Cognitive Science Marc Jeannerod, UMR 5229, CNRS Lyon France
- Department of Human Behavior, Ecology and Culture Max Planck Institute for Evolutionary Anthropology Leipzig Germany
- Taï Chimpanzee Project Centre Suisse de Recherches Scientifiques en Côte d'Ivoire Abidjan Ivory Coast
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26
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Xie X, Bertram T, Zorjan S, Horvat M, Sorg C, Mulej Bratec S. Social reappraisal of emotions is linked with the social presence effect in the default mode network. Front Psychiatry 2023; 14:1128916. [PMID: 37032933 PMCID: PMC10076786 DOI: 10.3389/fpsyt.2023.1128916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 03/03/2023] [Indexed: 04/11/2023] Open
Abstract
Introduction Social reappraisal, during which one person deliberately tries to regulate another's emotions, is a powerful cognitive form of social emotion regulation, crucial for both daily life and psychotherapy. The neural underpinnings of social reappraisal include activity in the default mode network (DMN), but it is unclear how social processes influence the DMN and thereby social reappraisal functioning. We tested whether the mere presence of a supportive social regulator had an effect on the DMN during rest, and whether this effect in the DMN was linked with social reappraisal-related neural activations and effectiveness during negative emotions. Methods A two-part fMRI experiment was performed, with a psychotherapist as the social regulator, involving two resting state (social, non-social) and two task-related (social reappraisal, social no-reappraisal) conditions. Results The psychotherapist's presence enhanced intrinsic functional connectivity of the dorsal anterior cingulate (dACC) within the anterior medial DMN, with the effect positively related to participants' trust in psychotherapists. Secondly, the social presence-induced change in the dACC was related with (a) the social reappraisal-related activation in the bilateral dorsomedial/dorsolateral prefrontal cortex and the right temporoparietal junction and (b) social reappraisal success, with the latter relationship moderated by trust in psychotherapists. Conclusion Results demonstrate that a psychotherapist's supportive presence can change anterior medial DMN's intrinsic connectivity even in the absence of stimuli and that this DMN change during rest is linked with social reappraisal functioning during negative emotions. Data suggest that trust-dependent social presence effects on DMN states are relevant for social reappraisal-an idea important for daily-life and psychotherapy-related emotion regulation.
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Affiliation(s)
- Xiyao Xie
- Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Teresa Bertram
- Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Saša Zorjan
- Department of Psychology, Faculty of Arts, University of Maribor, Maribor, Slovenia
| | - Marina Horvat
- Department of Psychology, Faculty of Arts, University of Maribor, Maribor, Slovenia
| | - Christian Sorg
- Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Satja Mulej Bratec
- Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Department of Psychology, Faculty of Arts, University of Maribor, Maribor, Slovenia
- *Correspondence: Satja Mulej Bratec,
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27
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Pathak A, Menon SN, Sinha S. Mesoscopic architecture enhances communication across the macaque connectome revealing structure-function correspondence in the brain. Phys Rev E 2022; 106:054304. [PMID: 36559437 DOI: 10.1103/physreve.106.054304] [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: 07/09/2021] [Accepted: 09/13/2022] [Indexed: 06/17/2023]
Abstract
Analyzing the brain in terms of organizational structures at intermediate scales provides an approach to unravel the complexity arising from interactions between its large number of components. Focusing on a wiring diagram that spans the cortex, basal ganglia, and thalamus of the macaque brain, we identify robust modules in the network that provide a mesoscopic-level description of its topological architecture. Surprisingly, we find that the modular architecture facilitates rapid communication across the network, instead of localizing activity as is typically expected in networks having community organization. By considering processes of diffusive spreading and coordination, we demonstrate that the specific pattern of inter- and intramodular connectivity in the network allows propagation to be even faster than equivalent randomized networks with or without modular structure. This pattern of connectivity is seen at different scales and is conserved across principal cortical divisions, as well as subcortical structures. Furthermore, we find that the physical proximity between areas is insufficient to explain the modular organization, as similar mesoscopic structures can be obtained even after factoring out the effect of distance constraints on the connectivity. By supplementing the topological information about the macaque connectome with physical locations, volumes, and functions of the constituent areas and analyzing this augmented dataset, we reveal a counterintuitive role played by the modular architecture of the brain in promoting global coordination of its activity. It suggests a possible explanation for the ubiquity of modularity in brain networks.
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Affiliation(s)
- Anand Pathak
- The Institute of Mathematical Sciences, CIT Campus, Taramani, Chennai 600113, India
- Homi Bhabha National Institute, Anushaktinagar, Mumbai 400 094, India
| | - Shakti N Menon
- The Institute of Mathematical Sciences, CIT Campus, Taramani, Chennai 600113, India
| | - Sitabhra Sinha
- The Institute of Mathematical Sciences, CIT Campus, Taramani, Chennai 600113, India
- Homi Bhabha National Institute, Anushaktinagar, Mumbai 400 094, India
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28
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Burke N, Brezack N, Woodward A. Children’s social networks in developmental psychology: A network approach to capture and describe early social environments. Front Psychol 2022; 13:1009422. [PMID: 36312073 PMCID: PMC9614093 DOI: 10.3389/fpsyg.2022.1009422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 09/22/2022] [Indexed: 11/25/2022] Open
Abstract
Psychologists are interested in understanding how early social environments impact children’s behavior and cognition. Early social environments are comprised of social relationships; however, there have been relatively few tools available to quantify the depth and breadth of children’s social relationships. We harnessed the power of social networks to demonstrate that networks can be used to describe children’s early social environments. Descriptive data from American children aged 6 months–5 years (n = 280; 47% female, 56% White) demonstrates that network properties can be used to provide a quantitative analysis of children’s early social environments and highlights how these environments vary across development. Social network methodology will provide researchers with a comprehensive picture of children’s early social experiences and improve studies exploring individual differences.
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Affiliation(s)
- Nicole Burke
- Department of Psychology, New York University, New York, NY, United States
- Department of Psychology, University of Chicago, Chicago, IL, United States
- *Correspondence: Nicole Burke,
| | - Natalie Brezack
- Department of Psychology, University of Chicago, Chicago, IL, United States
| | - Amanda Woodward
- Department of Psychology, University of Chicago, Chicago, IL, United States
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29
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The neuroanatomy of social trust predicts depression vulnerability. Sci Rep 2022; 12:16724. [PMID: 36202831 PMCID: PMC9537537 DOI: 10.1038/s41598-022-20443-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 09/13/2022] [Indexed: 12/01/2022] Open
Abstract
Trust attitude is a social personality trait linked with the estimation of others’ trustworthiness. Trusting others, however, can have substantial negative effects on mental health, such as the development of depression. Despite significant progress in understanding the neurobiology of trust, whether the neuroanatomy of trust is linked with depression vulnerability remains unknown. To investigate a link between the neuroanatomy of trust and depression vulnerability, we assessed trust and depressive symptoms and employed neuroimaging to acquire brain structure data of healthy participants. A high depressive symptom score was used as an indicator of depression vulnerability. The neuroanatomical results observed with the healthy sample were validated in a sample of clinically diagnosed depressive patients. We found significantly higher depressive symptoms among low trusters than among high trusters. Neuroanatomically, low trusters and depressive patients showed similar volume reduction in brain regions implicated in social cognition, including the dorsolateral prefrontal cortex (DLPFC), dorsomedial PFC, posterior cingulate, precuneus, and angular gyrus. Furthermore, the reduced volume of the DLPFC and precuneus mediated the relationship between trust and depressive symptoms. These findings contribute to understanding social- and neural-markers of depression vulnerability and may inform the development of social interventions to prevent pathological depression.
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30
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Bzdok D, Dunbar RIM. Social isolation and the brain in the pandemic era. Nat Hum Behav 2022; 6:1333-1343. [PMID: 36258130 DOI: 10.1038/s41562-022-01453-0] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 08/24/2022] [Indexed: 11/08/2022]
Abstract
Intense sociality has been a catalyst for human culture and civilization, and our social relationships at a personal level play a pivotal role in our health and well-being. These relationships are, however, sensitive to the time we invest in them. To understand how and why this should be, we first outline the evolutionary background in primate sociality from which our human social world has emerged. We then review defining features of that human sociality, putting forward a framework within which one can understand the consequences of mass social isolation during the COVID-19 pandemic, including mental health deterioration, stress, sleep disturbance and substance misuse. We outline recent research on the neural basis of prolonged social isolation, highlighting especially higher-order neural circuits such as the default mode network. Our survey of studies covers the negative effects of prolonged social deprivation and the multifaceted drivers of day-to-day pandemic experiences.
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Affiliation(s)
- Danilo Bzdok
- The Neuro-Montreal Neurological Institute (MNI), McConnell Brain-Imaging Centre (BIC), Department of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Quebec, Canada.
| | - Robin I M Dunbar
- Department of Experimental Psychology, University of Oxford, Oxford, UK.
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31
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Shultz S, Dunbar RIM. Socioecological complexity in primate groups and its cognitive correlates. Philos Trans R Soc Lond B Biol Sci 2022; 377:20210296. [PMID: 35934968 PMCID: PMC9358314 DOI: 10.1098/rstb.2021.0296] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Characterizing non-human primate social complexity and its cognitive bases has proved challenging. Using principal component analyses, we show that primate social, ecological and reproductive behaviours condense into two components: socioecological complexity (including most social and ecological variables) and reproductive cooperation (comprising mainly a suite of behaviours associated with pairbonded monogamy). We contextualize these results using a meta-analysis of 44 published analyses of primate brain evolution. These studies yield two main consistent results: cognition, sociality and cooperative behaviours are associated with absolute brain volume, neocortex size and neocortex ratio, whereas diet composition and life history are consistently associated with relative brain size. We use a path analysis to evaluate the causal relationships among these variables, demonstrating that social group size is predicted by the neocortex, whereas ecological traits are predicted by the volume of brain structures other than the neocortex. That a range of social and technical behaviours covary, and are correlated with social group size and brain size, suggests that primate cognition has evolved along a continuum resulting in an increasingly flexible, domain-general capacity to solve a range of socioecological challenges culminating in a capacity for, and reliance on, innovation and social information use in the great apes and humans. This article is part of the theme issue 'Cognition, communication and social bonds in primates'.
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Affiliation(s)
- Susanne Shultz
- Department of Earth and Environmental Sciences, University of Manchester, Manchester, UK
| | - Robin I M Dunbar
- Department of Experimental Psychology, University of Oxford, Oxford, UK
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32
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Quah SKL, McIver L, Bullmore ET, Roberts AC, Sawiak SJ. Higher-order brain regions show shifts in structural covariance in adolescent marmosets. Cereb Cortex 2022; 32:4128-4140. [PMID: 35029670 PMCID: PMC9476623 DOI: 10.1093/cercor/bhab470] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 11/18/2021] [Accepted: 11/19/2021] [Indexed: 11/13/2022] Open
Abstract
Substantial progress has been made studying morphological changes in brain regions during adolescence, but less is known of network-level changes in their relationship. Here, we compare covariance networks constructed from the correlation of morphometric volumes across 135 brain regions of marmoset monkeys in early adolescence and adulthood. Substantial shifts are identified in the topology of structural covariance networks in the prefrontal cortex (PFC) and temporal lobe. PFC regions become more structurally differentiated and segregated within their own local network, hypothesized to reflect increased specialization after maturation. In contrast, temporal regions show increased inter-hemispheric covariances that may underlie the establishment of distributed networks. Regionally selective coupling of structural and maturational covariance is revealed, with relatively weak coupling in transmodal association areas. The latter may be a consequence of continued maturation within adulthood, but also environmental factors, for example, family size, affecting brain morphology. Advancing our understanding of how morphological relationships within higher-order brain areas mature in adolescence deepens our knowledge of the developing brain's organizing principles.
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Affiliation(s)
- Shaun K L Quah
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge CB2 3EB, UK
| | - Lauren McIver
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge CB2 3EB, UK
| | - Edward T Bullmore
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
- Wolfson Brain Imaging Centre, University of Cambridge, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK
- Department of Psychiatry, University of Cambridge, Cambridge CB2 0SZ, UK
- Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge CB21 5EF, UK
| | - Angela C Roberts
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge CB2 3EB, UK
| | - Stephen J Sawiak
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge CB2 3EB, UK
- Wolfson Brain Imaging Centre, University of Cambridge, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK
- Translational Neuroimaging Laboratory, University of Cambridge, Cambridge, CB2 3EB, UK
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Vora A, Nguyen AD, Spicer C, Li W. The impact of social isolation on health and behavior in Drosophila melanogaster and beyond. BRAIN SCIENCE ADVANCES 2022. [DOI: 10.26599/bsa.2022.9050016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Many organisms, including humans, have evolved dynamic social behaviors to promote survival. Public health studies show that isolation from social groups is a major risk factor for adverse health outcomes in humans, but these studies lack mechanistic understanding. Animal models can provide insight into the molecular and neural mechanisms underlying how social isolation impacts health through investigations using genetic, genomic, molecular, and neuroscience methods. In this review, we discuss Drosophila melanogaster as a robust genetic model for studying the effects of social isolation and for developing a mechanistic understanding of the perception of social isolation and how it impacts health.
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Affiliation(s)
- Aabha Vora
- Laboratory of Genetics, The Rockefeller University, New York, New York 10065, USA
| | - Andrew D. Nguyen
- Laboratory of Genetics, The Rockefeller University, New York, New York 10065, USA
| | - Carmen Spicer
- Laboratory of Genetics, The Rockefeller University, New York, New York 10065, USA
| | - Wanhe Li
- Department of Biology, Center for Biological Clocks Research, Texas A&M University, College Station, Texas 77843, USA
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Thompson EC, Muhammad JN, Adimora AA, Chandran A, Cohen MH, Crockett KB, Goparaju L, Henderson E, Kempf MC, Konkle-Parker D, Kwait J, Mimiaga M, Ofotokun I, Rubin L, Sharma A, Teplin LA, Vance DE, Weiser SD, Weiss DJ, Wilson TE, Turan JM, Turan B. Internalized HIV-Related Stigma and Neurocognitive Functioning Among Women Living with HIV. AIDS Patient Care STDS 2022; 36:336-342. [PMID: 36099481 PMCID: PMC9810353 DOI: 10.1089/apc.2022.0041] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
The prevalence of HIV-associated neurocognitive impairment persists despite highly effective antiretroviral therapy (ART). In this study we explore the role of internalized stigma, acceptance of negative societal characterizations, and perceptions about people living with HIV (PLWH) on neurocognitive functioning (executive function, learning, memory, attention/working memory, psychomotor speed, fluency, motor skills) in a national cohort of women living with HIV (WLWH) in the United States. We utilized observational data from a multicenter study of WLWH who are mostly African American living in low-resource settings. Neurocognitive function was measured using an eight-test battery. A multiple linear regression model was constructed to investigate the relationship between internalized stigma and overall neurocognitive functioning (mean of all neurocognitive domain standardized T-scores), adjusting for age, education, race, previous neuropsychological battery scores, illicit drug use, viral load, and years on ART. Our analysis revealed that internalized HIV-related stigma is significantly associated with worse performance on individual domain tests and overall neurocognitive performance (B = 0.27, t = 2.50, p = 0.01). This suggests HIV-related internalized stigma may be negatively associated with neurocognitive functioning for WLWH. This finding highlights a specific psychosocial factor associated with poor neurocognitive function that may be targeted to better promote the health of PLWH. Future research on the longitudinal relationship between these variables and the effects of other stigma dimensions on poor neurocognitive function would provide further insights into the pathways explaining the relationship between internalized stigma and neurocognition.
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Affiliation(s)
- Emma C. Thompson
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Josh N. Muhammad
- School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Adoara A. Adimora
- School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Aruna Chandran
- School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Mardge H. Cohen
- Chicago Women's Interagency HIV Study, Chicago, Illinois, USA
| | - Kaylee B. Crockett
- School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Lakshmi Goparaju
- School of Medicine, Georgetown University, Washington, District of Columbia, USA
| | - Emmett Henderson
- School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Mirjam-Colette Kempf
- School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Deborah Konkle-Parker
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Jennafer Kwait
- Whitman-Walker Institute, Washington, District of Columbia, USA
| | - Matthew Mimiaga
- School of Public Health, University of California Los Angeles, Los Angeles, California, USA
| | - Igho Ofotokun
- School of Medicine, Emory University, Atlanta, Georgia, USA
| | - Leah Rubin
- School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Anjala Sharma
- Albert Einstein College of Medicine, Bronx, New York, USA
| | - Linda A. Teplin
- School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - David E. Vance
- School of Nursing, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Sheri D. Weiser
- Department of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Deborah J. Weiss
- Department of Psychiatry & Behavioral Sciences, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Tracey E. Wilson
- School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Janet M. Turan
- School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Bulent Turan
- Department of Psychology, Koc University, Istanbul, Turkey
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Wang JX, Li Y, Mu Y, Zhuang JY. Common and unique neural mechanisms of social and nonsocial conflict resolving and adaptation. Cereb Cortex 2022; 33:3773-3786. [PMID: 35989309 PMCID: PMC10068294 DOI: 10.1093/cercor/bhac306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 06/28/2022] [Accepted: 07/29/2022] [Indexed: 11/12/2022] Open
Abstract
Humans often need to deal with various forms of information conflicts that arise when they receive inconsistent information. However, it remains unclear how we resolve them and whether the brain may recruit similar or distinct brain mechanisms to process different domains (e.g. social vs. nonsocial) of conflicts. To address this, we used functional magnetic resonance imaging and scanned 50 healthy participants when they were asked to perform 2 Stroop tasks with different forms of conflicts: social (i.e. face-gender incongruency) and nonsocial (i.e. color-word incongruency) conflicts. Neuroimaging results revealed that the ventral lateral prefrontal cortex was generally activated in processing incongruent versus congruent stimuli regardless of the task type, serving as a common mechanism for conflict resolving across domains. Notably, trial-based and model-based results jointly demonstrated that the dorsal and rostral medial prefrontal cortices were uniquely engaged in processing social incongruent stimuli, suggesting distinct neural substrates of social conflict resolving and adaptation. The findings uncover that the common but unique brain mechanisms are recruited when humans resolve and adapt to social conflicts.
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Affiliation(s)
- Jia-Xi Wang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yuhe Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yan Mu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jin-Ying Zhuang
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, 200062, China
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Ferrucci L, Nougaret S, Ceccarelli F, Sacchetti S, Fascianelli V, Benozzo D, Genovesio A. Social monitoring of actions in the macaque frontopolar cortex. Prog Neurobiol 2022; 218:102339. [PMID: 35963359 DOI: 10.1016/j.pneurobio.2022.102339] [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: 06/30/2022] [Revised: 08/03/2022] [Accepted: 08/08/2022] [Indexed: 11/18/2022]
Abstract
The frontopolar cortex (FPC) of primates appeared as a main innovation in the evolution of anthropoid primates and it has been placed at the top of the prefrontal hierarchy. The only study to date that investigated the activity of FPC neurons in monkeys performing a cognitive task suggested that these cells were involved in the monitoring of self-generated actions. We recorded the activity of neurons in the FPCs of two rhesus monkeys while they performed a social variant of a nonmatch-to-goal task that required monitoring the actions of a human or computer agent. We discovered that the role of FPC neurons extends beyond self-generated actions to include monitoring others' actions. Their monitoring activity was very specific. First, neurons in the FPC encoded the spatial position of the target but not its object features. Second, a dedicated representation of the human agent actions was tied to the time of target acquisition, while it was reduced or absent in the successive epochs of the trial. Finally, this other-specific neural substrate did not emerge during the interaction with a virtual agent such as the computer. These results provide a new perspective on the functions of a uniquely primate brain area, suggesting that FPC might play an important role in social behaviors.
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Affiliation(s)
- Lorenzo Ferrucci
- Department of Physiology and Pharmacology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
| | - Simon Nougaret
- Department of Physiology and Pharmacology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
| | - Francesco Ceccarelli
- Department of Physiology and Pharmacology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy; PhD program in Behavioral Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Stefano Sacchetti
- Department of Physiology and Pharmacology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
| | - Valeria Fascianelli
- Department of Physiology and Pharmacology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
| | - Danilo Benozzo
- Department of Physiology and Pharmacology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
| | - Aldo Genovesio
- Department of Physiology and Pharmacology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy.
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37
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Shen C, Rolls ET, Cheng W, Kang J, Dong G, Xie C, Zhao XM, Sahakian BJ, Feng J. Associations of Social Isolation and Loneliness With Later Dementia. Neurology 2022; 99:e164-e175. [PMID: 35676089 DOI: 10.1212/wnl.0000000000200583] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 03/08/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES To investigate the independent associations of social isolation and loneliness with incident dementia and to explore the potential neurobiological mechanisms. METHODS We utilized the UK Biobank cohort to establish Cox proportional hazard models with social isolation and loneliness as separate exposures. Demographic (sex, age, and ethnicity), socioeconomic (education level, household income, and Townsend deprivation index), biological (body mass index, APOE genotype, diabetes, cancer, cardiovascular disease, and other), cognitive (speed of processing and visual memory), behavioral (current smoker, alcohol intake, and physical activity), and psychological (social isolation or loneliness, depressive symptoms, and neuroticism) factors measured at baseline were adjusted. Then, voxel-wise brainwide association analyses were used to identify gray matter volumes (GMVs) associated with social isolation and with loneliness. Partial least squares regression was performed to test the spatial correlation of GMV differences and gene expression using the Allen Human Brain Atlas. RESULTS We included 462,619 participants (mean age at baseline 57.0 years [SD 8.1]). With a mean follow-up of 11.7 years (SD 1.7), 4,998 developed all-cause dementia. Social isolation was associated with a 1.26-fold increased risk of dementia (95% CI, 1.15-1.37) independently of various risk factors including loneliness and depression (i.e., full adjustment). However, the fully adjusted hazard ratio for dementia related to loneliness was 1.04 (95% CI, 0.94-1.16) and 75% of this relationship was attributable to depressive symptoms. Structural MRI data were obtained from 32,263 participants (mean age 63.5 years [SD 7.5]). Socially isolated individuals had lower GMVs in temporal, frontal, and other (e.g., hippocampal) regions. Mediation analysis showed that the identified GMVs partly mediated the association between social isolation at baseline and cognitive function at follow-up. Social isolation-related lower GMVs were related to underexpression of genes that are downregulated in Alzheimer disease and to genes that are involved in mitochondrial dysfunction and oxidative phosphorylation. DISCUSSION Social isolation is a risk factor for dementia that is independent of loneliness and many other covariates. Social isolation-related brain structural differences coupled with different molecular functions also support the associations of social isolation with cognition and dementia. Social isolation may thus be an early indicator of an increased risk of dementia.
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Affiliation(s)
- Chun Shen
- From the Institute of Science and Technology for Brain-Inspired Intelligence (C.S., W.C., J.K., G.D., C.X., X.-M.Z., B.S., J.F.), Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education (C.S., G.D., C.X., X.-M.Z., J.F.), Shanghai Center for Mathematical Sciences (J.K.), and MOE Frontiers Center for Brain Science (X.-M.Z., J.F.), Fudan University, Shanghai, China; Department of Computer Science (E.R., J.F.), University of Warwick, Coventry; Oxford Centre for Computational Neuroscience (E.R.); Behavioural and Clinical Neuroscience Institute (B.S.) and Department of Psychiatry (B.S.), University of Cambridge, UK; and Zhangjiang Fudan International Innovation Center (J.F.), Shanghai, China
| | - Edmund T Rolls
- From the Institute of Science and Technology for Brain-Inspired Intelligence (C.S., W.C., J.K., G.D., C.X., X.-M.Z., B.S., J.F.), Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education (C.S., G.D., C.X., X.-M.Z., J.F.), Shanghai Center for Mathematical Sciences (J.K.), and MOE Frontiers Center for Brain Science (X.-M.Z., J.F.), Fudan University, Shanghai, China; Department of Computer Science (E.R., J.F.), University of Warwick, Coventry; Oxford Centre for Computational Neuroscience (E.R.); Behavioural and Clinical Neuroscience Institute (B.S.) and Department of Psychiatry (B.S.), University of Cambridge, UK; and Zhangjiang Fudan International Innovation Center (J.F.), Shanghai, China
| | - Wei Cheng
- From the Institute of Science and Technology for Brain-Inspired Intelligence (C.S., W.C., J.K., G.D., C.X., X.-M.Z., B.S., J.F.), Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education (C.S., G.D., C.X., X.-M.Z., J.F.), Shanghai Center for Mathematical Sciences (J.K.), and MOE Frontiers Center for Brain Science (X.-M.Z., J.F.), Fudan University, Shanghai, China; Department of Computer Science (E.R., J.F.), University of Warwick, Coventry; Oxford Centre for Computational Neuroscience (E.R.); Behavioural and Clinical Neuroscience Institute (B.S.) and Department of Psychiatry (B.S.), University of Cambridge, UK; and Zhangjiang Fudan International Innovation Center (J.F.), Shanghai, China
| | - Jujiao Kang
- From the Institute of Science and Technology for Brain-Inspired Intelligence (C.S., W.C., J.K., G.D., C.X., X.-M.Z., B.S., J.F.), Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education (C.S., G.D., C.X., X.-M.Z., J.F.), Shanghai Center for Mathematical Sciences (J.K.), and MOE Frontiers Center for Brain Science (X.-M.Z., J.F.), Fudan University, Shanghai, China; Department of Computer Science (E.R., J.F.), University of Warwick, Coventry; Oxford Centre for Computational Neuroscience (E.R.); Behavioural and Clinical Neuroscience Institute (B.S.) and Department of Psychiatry (B.S.), University of Cambridge, UK; and Zhangjiang Fudan International Innovation Center (J.F.), Shanghai, China
| | - Guiying Dong
- From the Institute of Science and Technology for Brain-Inspired Intelligence (C.S., W.C., J.K., G.D., C.X., X.-M.Z., B.S., J.F.), Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education (C.S., G.D., C.X., X.-M.Z., J.F.), Shanghai Center for Mathematical Sciences (J.K.), and MOE Frontiers Center for Brain Science (X.-M.Z., J.F.), Fudan University, Shanghai, China; Department of Computer Science (E.R., J.F.), University of Warwick, Coventry; Oxford Centre for Computational Neuroscience (E.R.); Behavioural and Clinical Neuroscience Institute (B.S.) and Department of Psychiatry (B.S.), University of Cambridge, UK; and Zhangjiang Fudan International Innovation Center (J.F.), Shanghai, China
| | - Chao Xie
- From the Institute of Science and Technology for Brain-Inspired Intelligence (C.S., W.C., J.K., G.D., C.X., X.-M.Z., B.S., J.F.), Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education (C.S., G.D., C.X., X.-M.Z., J.F.), Shanghai Center for Mathematical Sciences (J.K.), and MOE Frontiers Center for Brain Science (X.-M.Z., J.F.), Fudan University, Shanghai, China; Department of Computer Science (E.R., J.F.), University of Warwick, Coventry; Oxford Centre for Computational Neuroscience (E.R.); Behavioural and Clinical Neuroscience Institute (B.S.) and Department of Psychiatry (B.S.), University of Cambridge, UK; and Zhangjiang Fudan International Innovation Center (J.F.), Shanghai, China
| | - Xing-Ming Zhao
- From the Institute of Science and Technology for Brain-Inspired Intelligence (C.S., W.C., J.K., G.D., C.X., X.-M.Z., B.S., J.F.), Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education (C.S., G.D., C.X., X.-M.Z., J.F.), Shanghai Center for Mathematical Sciences (J.K.), and MOE Frontiers Center for Brain Science (X.-M.Z., J.F.), Fudan University, Shanghai, China; Department of Computer Science (E.R., J.F.), University of Warwick, Coventry; Oxford Centre for Computational Neuroscience (E.R.); Behavioural and Clinical Neuroscience Institute (B.S.) and Department of Psychiatry (B.S.), University of Cambridge, UK; and Zhangjiang Fudan International Innovation Center (J.F.), Shanghai, China
| | - Barbara J Sahakian
- From the Institute of Science and Technology for Brain-Inspired Intelligence (C.S., W.C., J.K., G.D., C.X., X.-M.Z., B.S., J.F.), Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education (C.S., G.D., C.X., X.-M.Z., J.F.), Shanghai Center for Mathematical Sciences (J.K.), and MOE Frontiers Center for Brain Science (X.-M.Z., J.F.), Fudan University, Shanghai, China; Department of Computer Science (E.R., J.F.), University of Warwick, Coventry; Oxford Centre for Computational Neuroscience (E.R.); Behavioural and Clinical Neuroscience Institute (B.S.) and Department of Psychiatry (B.S.), University of Cambridge, UK; and Zhangjiang Fudan International Innovation Center (J.F.), Shanghai, China
| | - Jianfeng Feng
- From the Institute of Science and Technology for Brain-Inspired Intelligence (C.S., W.C., J.K., G.D., C.X., X.-M.Z., B.S., J.F.), Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education (C.S., G.D., C.X., X.-M.Z., J.F.), Shanghai Center for Mathematical Sciences (J.K.), and MOE Frontiers Center for Brain Science (X.-M.Z., J.F.), Fudan University, Shanghai, China; Department of Computer Science (E.R., J.F.), University of Warwick, Coventry; Oxford Centre for Computational Neuroscience (E.R.); Behavioural and Clinical Neuroscience Institute (B.S.) and Department of Psychiatry (B.S.), University of Cambridge, UK; and Zhangjiang Fudan International Innovation Center (J.F.), Shanghai, China.
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Humanized substitutions of Vmat1 in mice alter amygdala-dependent behaviors associated with the evolution of anxiety. iScience 2022; 25:104800. [PMID: 35992083 PMCID: PMC9385864 DOI: 10.1016/j.isci.2022.104800] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 05/29/2022] [Accepted: 07/15/2022] [Indexed: 11/19/2022] Open
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Social anhedonia as a Disrupted-in-Schizophrenia 1-dependent phenotype. Sci Rep 2022; 12:10182. [PMID: 35715502 PMCID: PMC9205858 DOI: 10.1038/s41598-022-14102-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 06/01/2022] [Indexed: 11/09/2022] Open
Abstract
Deficits in social interaction or social cognition are key phenotypes in a variety of chronic mental diseases, yet, their modeling and molecular dissection are only in their infancy. The Disrupted-in-Schizophrenia 1 (DISC1) signaling pathway is considered to play a role in different psychiatric disorders such as schizophrenia, depression, and biopolar disorders. DISC1 is involved in regulating the dopaminergic neurotransmission in, among others, the mesolimbic reward system. A transgenic rat line tgDISC1 has been introduced as a model system to study behavioral phenotypes associated with abnormal DISC1 signaling pathways. Here, we evaluated the impact of impaired DISC1 signaling on social (social interaction) and non-social (sucrose) reward preferences in the tgDISC1 animal model. In a plus-maze setting, rats chose between the opportunity for social interaction with an unfamiliar juvenile conspecific (social reward) or drinking sweet solutions with variable sucrose concentrations (non-social reward). tgDISC1 rats differed from wild-type rats in their social, but not in their non-social reward preferences. Specifically, DISC1 rats showed a lower interest in interaction with the juvenile conspecific, but did not differ from wild-type rats in their preference for higher sucrose concentrations. These results suggest that disruptions of the DISC1 signaling pathway that is associated with altered dopamine transmission in the brain result in selective deficits in social motivation reminiscent of phenotypes seen in neuropsychiatric illness.
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Andrews DS, Aksman L, Kerns CM, Lee JK, Winder-Patel BM, Harvey DJ, Waizbard-Bartov E, Heath B, Solomon M, Rogers SJ, Altmann A, Nordahl CW, Amaral DG. Association of Amygdala Development With Different Forms of Anxiety in Autism Spectrum Disorder. Biol Psychiatry 2022; 91:977-987. [PMID: 35341582 PMCID: PMC9116934 DOI: 10.1016/j.biopsych.2022.01.016] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 01/18/2022] [Accepted: 01/22/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND The amygdala is widely implicated in both anxiety and autism spectrum disorder. However, no studies have investigated the relationship between co-occurring anxiety and longitudinal amygdala development in autism. Here, the authors characterize amygdala development across childhood in autistic children with and without traditional DSM forms of anxiety and anxieties distinctly related to autism. METHODS Longitudinal magnetic resonance imaging scans were acquired at up to four time points for 71 autistic and 55 typically developing (TD) children (∼2.5-12 years, 411 time points). Traditional DSM anxiety and anxieties distinctly related to autism were assessed at study time 4 (∼8-12 years) using a diagnostic interview tailored to autism: the Anxiety Disorders Interview Schedule-IV with the Autism Spectrum Addendum. Mixed-effects models were used to test group differences at study time 1 (3.18 years) and time 4 (11.36 years) and developmental differences (age-by-group interactions) in right and left amygdala volume between autistic children with and without DSM or autism-distinct anxieties and TD children. RESULTS Autistic children with DSM anxiety had significantly larger right amygdala volumes than TD children at both study time 1 (5.10% increase) and time 4 (6.11% increase). Autistic children with autism-distinct anxieties had significantly slower right amygdala growth than TD, autism-no anxiety, and autism-DSM anxiety groups and smaller right amygdala volumes at time 4 than the autism-no anxiety (-8.13% decrease) and autism-DSM anxiety (-12.05% decrease) groups. CONCLUSIONS Disparate amygdala volumes and developmental trajectories between DSM and autism-distinct forms of anxiety suggest different biological underpinnings for these common, co-occurring conditions in autism.
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Affiliation(s)
- Derek Sayre Andrews
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis, Davis, California.
| | - Leon Aksman
- Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Los Angeles, California,Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Connor M. Kerns
- Department of Psychology, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Joshua K. Lee
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis, Davis, California
| | - Breanna M. Winder-Patel
- MIND Institute and Department of Pediatrics, University of California Davis, Davis, California
| | - Danielle Jenine Harvey
- Division of Biostatistics, Department of Public Health Sciences, University of California Davis, Davis, California
| | - Einat Waizbard-Bartov
- MIND Institute and Department of Psychology, University of California Davis, Davis, California
| | - Brianna Heath
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis, Davis, California
| | - Marjorie Solomon
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis, Davis, California
| | - Sally J. Rogers
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis, Davis, California
| | - Andre Altmann
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Christine Wu Nordahl
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis, Davis, California
| | - David G. Amaral
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis, Davis, California
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41
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Ferreira-Fernandes E, Peça J. The Neural Circuit Architecture of Social Hierarchy in Rodents and Primates. Front Cell Neurosci 2022; 16:874310. [PMID: 35634473 PMCID: PMC9133341 DOI: 10.3389/fncel.2022.874310] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 03/29/2022] [Indexed: 11/13/2022] Open
Abstract
Social status is recognized as a major determinant of social behavior and health among animals; however, the neural circuits supporting the formation and navigation of social hierarchies remain under extensive research. Available evidence suggests the prefrontal cortex is a keystone in this circuit, but upstream and downstream candidates are progressively emerging. In this review, we compare and integrate findings from rodent and primate studies to create a model of the neural and cellular networks supporting social hierarchies, both from a macro (i.e., circuits) to a micro-scale perspective (microcircuits and synapses). We start by summarizing the literature on the prefrontal cortex and other relevant brain regions to expand the current “prefrontal-centric” view of social hierarchy behaviors. Based on connectivity data we also discuss candidate regions that might inspire further investigation, as well as the caveats and strategies that have been used to further our understanding of the biological substrates underpinning social hierarchy and dominance.
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Affiliation(s)
- Emanuel Ferreira-Fernandes
- CNC—Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
- Institute of Interdisciplinary Research (IIIUC), University of Coimbra, Coimbra, Portugal
| | - João Peça
- CNC—Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
- Department of Life Sciences, University of Coimbra, Coimbra, Portugal
- *Correspondence: João Peça
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42
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Structural Brain Asymmetries for Language: A Comparative Approach across Primates. Symmetry (Basel) 2022. [DOI: 10.3390/sym14050876] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Humans are the only species that can speak. Nonhuman primates, however, share some ‘domain-general’ cognitive properties that are essential to language processes. Whether these shared cognitive properties between humans and nonhuman primates are the results of a continuous evolution [homologies] or of a convergent evolution [analogies] remain difficult to demonstrate. However, comparing their respective underlying structure—the brain—to determinate their similarity or their divergence across species is critical to help increase the probability of either of the two hypotheses, respectively. Key areas associated with language processes are the Planum Temporale, Broca’s Area, the Arcuate Fasciculus, Cingulate Sulcus, The Insula, Superior Temporal Sulcus, the Inferior Parietal lobe, and the Central Sulcus. These structures share a fundamental feature: They are functionally and structurally specialised to one hemisphere. Interestingly, several nonhuman primate species, such as chimpanzees and baboons, show human-like structural brain asymmetries for areas homologous to key language regions. The question then arises: for what function did these asymmetries arise in non-linguistic primates, if not for language per se? In an attempt to provide some answers, we review the literature on the lateralisation of the gestural communication system, which may represent the missing behavioural link to brain asymmetries for language area’s homologues in our common ancestor.
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43
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Testard C, Brent LJN, Andersson J, Chiou KL, Negron-Del Valle JE, DeCasien AR, Acevedo-Ithier A, Stock MK, Antón SC, Gonzalez O, Walker CS, Foxley S, Compo NR, Bauman S, Ruiz-Lambides AV, Martinez MI, Skene JHP, Horvath JE, Unit CBR, Higham JP, Miller KL, Snyder-Mackler N, Montague MJ, Platt ML, Sallet J. Social connections predict brain structure in a multidimensional free-ranging primate society. SCIENCE ADVANCES 2022; 8:eabl5794. [PMID: 35417242 PMCID: PMC9007502 DOI: 10.1126/sciadv.abl5794] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 02/23/2022] [Indexed: 06/14/2023]
Abstract
Reproduction and survival in most primate species reflects management of both competitive and cooperative relationships. Here, we investigated the links between neuroanatomy and sociality in free-ranging rhesus macaques. In adults, the number of social partners predicted the volume of the mid-superior temporal sulcus and ventral-dysgranular insula, implicated in social decision-making and empathy, respectively. We found no link between brain structure and other key social variables such as social status or indirect connectedness in adults, nor between maternal social networks or status and dependent infant brain structure. Our findings demonstrate that the size of specific brain structures varies with the number of direct affiliative social connections and suggest that this relationship may arise during development. These results reinforce proposed links between social network size, biological success, and the expansion of specific brain circuits.
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Affiliation(s)
- Camille Testard
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
| | - Lauren J. N. Brent
- Centre for Research in Animal Behaviour, University of Exeter, Exeter, UK
| | | | - Kenneth L. Chiou
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Josue E. Negron-Del Valle
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Alex R. DeCasien
- Department of Anthropology, New York University, New York, NY, USA
- New York Consortium in Evolutionary Primatology, NYCEP, New York, NY, USA
- Section on Developmental Neurogenomics, National Institute of Mental Health, Washington, DC, USA
| | | | - Michala K. Stock
- Department of Sociology and Anthropology, Metropolitan State University of Denver, Denver, CO, USA
| | - Susan C. Antón
- Department of Anthropology, New York University, New York, NY, USA
- New York Consortium in Evolutionary Primatology, NYCEP, New York, NY, USA
| | - Olga Gonzalez
- Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Christopher S. Walker
- Department of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Sean Foxley
- Wellcome Integrative Neuroimaging Centre, fMRIB, Oxford, UK
- Department of Radiology, University of Chicago, Chicago, IL, USA
| | - Nicole R. Compo
- Caribbean Primate Research Center, University of Puerto Rico, Sabana Seca, Puerto Rico
- Comparative Medicine, University of South Florida, Tampa, FL, USA
| | - Samuel Bauman
- Caribbean Primate Research Center, University of Puerto Rico, Sabana Seca, Puerto Rico
| | | | - Melween I. Martinez
- Caribbean Primate Research Center, University of Puerto Rico, Sabana Seca, Puerto Rico
| | - J. H. Pate Skene
- Department of Neurobiology, Duke University, Durham, NC, USA
- Institute of Cognitive Science, University of Colorado, Boulder, CO, USA
| | - Julie E. Horvath
- Department of Biological and Biomedical Sciences, North Carolina Central University, Durham, NC 27707, USA
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
- North Carolina Museum of Natural Sciences, Raleigh, NC 27601, USA
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27708, USA
| | | | - James P. Higham
- Department of Anthropology, New York University, New York, NY, USA
- New York Consortium in Evolutionary Primatology, NYCEP, New York, NY, USA
| | | | - Noah Snyder-Mackler
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
- ASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe, AZ, USA
| | - Michael J. Montague
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael L. Platt
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
- Marketing Department, University of Pennsylvania, Philadelphia, PA, USA
| | - Jérôme Sallet
- Department of Experimental Psychology, Wellcome Integrative Neuroimaging Centre, Oxford, UK
- Stem Cell and Brain Research Institute, Inserm, Université Lyon 1, Bron U1208, France
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44
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An evolutionary gap in primate default mode network organization. Cell Rep 2022; 39:110669. [PMID: 35417698 PMCID: PMC9088817 DOI: 10.1016/j.celrep.2022.110669] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 09/21/2021] [Accepted: 03/21/2022] [Indexed: 12/03/2022] Open
Abstract
The human default mode network (DMN) is engaged at rest and in cognitive states such as self-directed thoughts. Interconnected homologous cortical areas in primates constitute a network considered as the equivalent. Here, based on a cross-species comparison of the DMN between humans and non-hominoid primates (macaques, marmosets, and mouse lemurs), we report major dissimilarities in connectivity profiles. Most importantly, the medial prefrontal cortex (mPFC) of non-hominoid primates is poorly engaged with the posterior cingulate cortex (PCC), though strong correlated activity between the human PCC and the mPFC is a key feature of the human DMN. Instead, a fronto-temporal resting-state network involving the mPFC was detected consistently across non-hominoid primate species. These common functional features shared between non-hominoid primates but not with humans suggest a substantial gap in the organization of the primate’s DMN and its associated cognitive functions. By comparing resting-state networks in humans, macaques, marmosets, and mouse lemurs, Garin et al. identify two networks in non-hominoid primates that include homolog areas of the human default mode network. The mPFC and PCC are tightly connected in the human DMN but poorly connected to each other across non-hominoid primates.
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45
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Dwortz MF, Curley JP, Tye KM, Padilla-Coreano N. Neural systems that facilitate the representation of social rank. Philos Trans R Soc Lond B Biol Sci 2022; 377:20200444. [PMID: 35000438 PMCID: PMC8743891 DOI: 10.1098/rstb.2020.0444] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Accepted: 11/10/2021] [Indexed: 12/15/2022] Open
Abstract
Across species, animals organize into social dominance hierarchies that serve to decrease aggression and facilitate survival of the group. Neuroscientists have adopted several model organisms to study dominance hierarchies in the laboratory setting, including fish, reptiles, rodents and primates. We review recent literature across species that sheds light onto how the brain represents social rank to guide socially appropriate behaviour within a dominance hierarchy. First, we discuss how the brain responds to social status signals. Then, we discuss social approach and avoidance learning mechanisms that we propose could drive rank-appropriate behaviour. Lastly, we discuss how the brain represents memories of individuals (social memory) and how this may support the maintenance of unique individual relationships within a social group. This article is part of the theme issue 'The centennial of the pecking order: current state and future prospects for the study of dominance hierarchies'.
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Affiliation(s)
- Madeleine F. Dwortz
- Department of Psychology, University of Texas at Austin, Austin, TX 78712, USA
- Institute for Neuroscience, University of Texas at Austin, Austin, TX 78712, USA
| | - James P. Curley
- Department of Psychology, University of Texas at Austin, Austin, TX 78712, USA
| | - Kay M. Tye
- Systems Neuroscience Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Nancy Padilla-Coreano
- Systems Neuroscience Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
- Department of Neuroscience, University of Florida, Gainesville, FN 32611, USA
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46
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Zajner C, Spreng RN, Bzdok D. Lacking Social Support is Associated With Structural Divergences in Hippocampus-Default Network Co-Variation Patterns. Soc Cogn Affect Neurosci 2022; 17:802-818. [PMID: 35086149 PMCID: PMC9433851 DOI: 10.1093/scan/nsac006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 11/17/2021] [Accepted: 01/25/2022] [Indexed: 11/22/2022] Open
Abstract
Elaborate social interaction is a pivotal asset of the human species. The complexity of people’s social lives may constitute the dominating factor in the vibrancy of many individuals’ environment. The neural substrates linked to social cognition thus appear especially susceptible when people endure periods of social isolation: here, we zoom in on the systematic inter-relationships between two such neural substrates, the allocortical hippocampus (HC) and the neocortical default network (DN). Previous human social neuroscience studies have focused on the DN, while HC subfields have been studied in most detail in rodents and monkeys. To bring into contact these two separate research streams, we directly quantified how DN subregions are coherently co-expressed with specific HC subfields in the context of social isolation. A two-pronged decomposition of structural brain scans from ∼40 000 UK Biobank participants linked lack of social support to mostly lateral subregions in the DN patterns. This lateral DN association co-occurred with HC patterns that implicated especially subiculum, presubiculum, CA2, CA3 and dentate gyrus. Overall, the subregion divergences within spatially overlapping signatures of HC–DN co-variation followed a clear segregation into the left and right brain hemispheres. Separable regimes of structural HC–DN co-variation also showed distinct associations with the genetic predisposition for lacking social support at the population level.
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Affiliation(s)
- Chris Zajner
- McConnell Brain Imaging Centre (BIC), Montreal Neurological Institute (MNI), Faculty of Medicine, McGill University, Montreal H3A2B4, Canada
| | - R Nathan Spreng
- McConnell Brain Imaging Centre (BIC), Montreal Neurological Institute (MNI), Faculty of Medicine, McGill University, Montreal H3A2B4, Canada
| | - Danilo Bzdok
- Correspondence should be addressed to Danilo Bzdok, McConnell Brain Imaging Centre (BIC), Montreal Neurological Institute (MNI), Faculty of Medicine, McGill University, Montreal H3A2B4, Canada. E-mail:
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47
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Murray EA, Fellows LK. Prefrontal cortex interactions with the amygdala in primates. Neuropsychopharmacology 2022; 47:163-179. [PMID: 34446829 PMCID: PMC8616954 DOI: 10.1038/s41386-021-01128-w] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 07/21/2021] [Accepted: 07/22/2021] [Indexed: 02/07/2023]
Abstract
This review addresses functional interactions between the primate prefrontal cortex (PFC) and the amygdala, with emphasis on their contributions to behavior and cognition. The interplay between these two telencephalic structures contributes to adaptive behavior and to the evolutionary success of all primate species. In our species, dysfunction in this circuitry creates vulnerabilities to psychopathologies. Here, we describe amygdala-PFC contributions to behaviors that have direct relevance to Darwinian fitness: learned approach and avoidance, foraging, predator defense, and social signaling, which have in common the need for flexibility and sensitivity to specific and rapidly changing contexts. Examples include the prediction of positive outcomes, such as food availability, food desirability, and various social rewards, or of negative outcomes, such as threats of harm from predators or conspecifics. To promote fitness optimally, these stimulus-outcome associations need to be rapidly updated when an associative contingency changes or when the value of a predicted outcome changes. We review evidence from nonhuman primates implicating the PFC, the amygdala, and their functional interactions in these processes, with links to experimental work and clinical findings in humans where possible.
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Affiliation(s)
| | - Lesley K Fellows
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
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48
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OUP accepted manuscript. Cereb Cortex 2022; 32:4512-4523. [DOI: 10.1093/cercor/bhab499] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 12/05/2021] [Accepted: 12/06/2021] [Indexed: 11/14/2022] Open
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49
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Cerebellum and Emotion Recognition. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1378:41-51. [DOI: 10.1007/978-3-030-99550-8_4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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50
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Chambers HR, Heldstab SA, O’Hara SJ. Why big brains? A comparison of models for both primate and carnivore brain size evolution. PLoS One 2021; 16:e0261185. [PMID: 34932586 PMCID: PMC8691615 DOI: 10.1371/journal.pone.0261185] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 11/24/2021] [Indexed: 11/19/2022] Open
Abstract
Despite decades of research, much uncertainty remains regarding the selection pressures responsible for brain size variation. Whilst the influential social brain hypothesis once garnered extensive support, more recent studies have failed to find support for a link between brain size and sociality. Instead, it appears there is now substantial evidence suggesting ecology better predicts brain size in both primates and carnivores. Here, different models of brain evolution were tested, and the relative importance of social, ecological, and life-history traits were assessed on both overall encephalisation and specific brain regions. In primates, evidence is found for consistent associations between brain size and ecological factors, particularly diet; however, evidence was also found advocating sociality as a selection pressure driving brain size. In carnivores, evidence suggests ecological variables, most notably home range size, are influencing brain size; whereas, no support is found for the social brain hypothesis, perhaps reflecting the fact sociality appears to be limited to a select few taxa. Life-history associations reveal complex selection mechanisms to be counterbalancing the costs associated with expensive brain tissue through extended developmental periods, reduced fertility, and extended maximum lifespan. Future studies should give careful consideration of the methods chosen for measuring brain size, investigate both whole brain and specific brain regions where possible, and look to integrate multiple variables, thus fully capturing all of the potential factors influencing brain size.
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Affiliation(s)
- Helen Rebecca Chambers
- School of Science, Engineering & Environment, University of Salford, Salford, Greater Manchester, United Kingdom
| | | | - Sean J. O’Hara
- School of Science, Engineering & Environment, University of Salford, Salford, Greater Manchester, United Kingdom
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