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Zhong T, Wang Y, Xu X, Wu X, Liang S, Ning Z, Wang L, Niu Y, Li G, Zhang Y. A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques. Comput Med Imaging Graph 2024; 116:102404. [PMID: 38870599 DOI: 10.1016/j.compmedimag.2024.102404] [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: 01/31/2024] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 06/15/2024]
Abstract
Magnetic Resonance Imaging (MRI) plays a pivotal role in the accurate measurement of brain subcortical structures in macaques, which is crucial for unraveling the complexities of brain structure and function, thereby enhancing our understanding of neurodegenerative diseases and brain development. However, due to significant differences in brain size, structure, and imaging characteristics between humans and macaques, computational tools developed for human neuroimaging studies often encounter obstacles when applied to macaques. In this context, we propose an Anatomy Attentional Fusion Network (AAF-Net), which integrates multimodal MRI data with anatomical constraints in a multi-scale framework to address the challenges posed by the dynamic development, regional heterogeneity, and age-related size variations of the juvenile macaque brain, thus achieving precise subcortical segmentation. Specifically, we generate a Signed Distance Map (SDM) based on the initial rough segmentation of the subcortical region by a network as an anatomical constraint, providing comprehensive information on positions, structures, and morphology. Then we construct AAF-Net to fully fuse the SDM anatomical constraints and multimodal images for refined segmentation. To thoroughly evaluate the performance of our proposed tool, over 700 macaque MRIs from 19 datasets were used in this study. Specifically, we employed two manually labeled longitudinal macaque datasets to develop the tool and complete four-fold cross-validations. Furthermore, we incorporated various external datasets to demonstrate the proposed tool's generalization capabilities and promise in brain development research. We have made this tool available as an open-source resource at https://github.com/TaoZhong11/Macaque_subcortical_segmentation for direct application.
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Affiliation(s)
- Tao Zhong
- School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing and Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, China
| | - Ya Wang
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, USA
| | - Xiaotong Xu
- School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing and Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, China
| | - Xueyang Wu
- School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing and Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, China
| | - Shujun Liang
- School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing and Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, China
| | - Zhenyuan Ning
- School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing and Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, China
| | - Li Wang
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, USA
| | - Yuyu Niu
- Yunnan Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, China
| | - Gang Li
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, USA.
| | - Yu Zhang
- School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing and Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, China.
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2
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Chinen K, Kawabata A, Tanaka H, Komura Y. Inaccessible time to visual awareness during attentional blinks in macaques and humans. iScience 2023; 26:108208. [PMID: 38223787 PMCID: PMC10784117 DOI: 10.1016/j.isci.2023.108208] [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: 07/14/2023] [Revised: 08/26/2023] [Accepted: 10/11/2023] [Indexed: 01/16/2024] Open
Abstract
Even when we attend to successive visual events, we often cannot notice an event occurring during a certain temporal window. Such an inaccessible time for visual awareness is known as "attentional blink" (AB). Whether AB is a phenomenon unique to humans or exists also in other animals is unclear. Using a dual-task paradigm shared between macaques and humans, we here demonstrate a nonhuman primate model of AB. Although macaques also showed behavioral signatures of AB, their AB effect lasted longer than that of humans. To map the relation between macaque and human ABs, we introduced a time warping analysis. The analysis revealed a formal structure behind the interspecies difference of AB; the temporal window of macaque AB was scaled from that of human AB. The present study opens the door to combining the approaches of neuroscience, psychophysics, and theoretical models to further identify a scale-invariant biological substrate of visual awareness.
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Affiliation(s)
- Koji Chinen
- Graduate School of Human and Environmental Studies, Kyoto University, Yoshida-Nihonmatsu-cho, Sakyo-ku, Kyoto 606-8501, Japan
| | - Akira Kawabata
- Graduate School of Human and Environmental Studies, Kyoto University, Yoshida-Nihonmatsu-cho, Sakyo-ku, Kyoto 606-8501, Japan
| | - Hitoshi Tanaka
- Graduate School of Human and Environmental Studies, Kyoto University, Yoshida-Nihonmatsu-cho, Sakyo-ku, Kyoto 606-8501, Japan
| | - Yutaka Komura
- Graduate School of Human and Environmental Studies, Kyoto University, Yoshida-Nihonmatsu-cho, Sakyo-ku, Kyoto 606-8501, Japan
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3
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Liu J, Chen H, Cornea E, Gilmore JH, Gao W. Longitudinal developmental trajectories of functional connectivity reveal regional distribution of distinct age effects in infancy. Cereb Cortex 2023; 33:10367-10379. [PMID: 37585708 PMCID: PMC10545442 DOI: 10.1093/cercor/bhad288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 07/13/2023] [Indexed: 08/18/2023] Open
Abstract
Prior work has shown that different functional brain networks exhibit different maturation rates, but little is known about whether and how different brain areas may differ in the exact shape of longitudinal functional connectivity growth trajectories during infancy. We used resting-state functional magnetic resonance imaging (fMRI) during natural sleep to characterize developmental trajectories of different regions using a longitudinal cohort of infants at 3 weeks (neonate), 1 year, and 2 years of age (n = 90; all with usable data at three time points). A novel whole brain heatmap analysis was performed with four mixed-effect models to determine the best fit of age-related changes for each functional connection: (i) growth effects: positive-linear-age, (ii) emergent effects: positive-log-age, (iii) pruning effects: negative-quadratic-age, and (iv) transient effects: positive-quadratic-age. Our results revealed that emergent (logarithmic) effects dominated developmental trajectory patterns, but significant pruning and transient effects were also observed, particularly in connections centered on inferior frontal and anterior cingulate areas that support social learning and conflict monitoring. Overall, unique global distribution patterns were observed for each growth model indicating that developmental trajectories for different connections are heterogeneous. All models showed significant effects concentrated in association areas, highlighting the dominance of higher-order social/cognitive development during the first 2 years of life.
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Affiliation(s)
- Janelle Liu
- Department of Biomedical Sciences, and Imaging, Cedars–Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA 90048, United States
| | - Haitao Chen
- Department of Biomedical Sciences, and Imaging, Cedars–Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA 90048, United States
- Department of Bioengineering, University of California Los Angeles, Los Angeles, CA 90095, United States
| | - Emil Cornea
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27514, United States
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC 27514, United States
| | - Wei Gao
- Department of Biomedical Sciences, and Imaging, Cedars–Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA 90048, United States
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, United States
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Xia J, Wang F, Wang Y, Wang L, Li G. Longitudinal mapping of the development of cortical thickness and surface area in rhesus macaques during the first three years. Proc Natl Acad Sci U S A 2023; 120:e2303313120. [PMID: 37523547 PMCID: PMC10410744 DOI: 10.1073/pnas.2303313120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 07/03/2023] [Indexed: 08/02/2023] Open
Abstract
Studying dynamic spatiotemporal patterns of early brain development in macaque monkeys is critical for understanding the cortical organization and evolution in humans, given the phylogenetic closeness between humans and macaques. However, due to huge challenges in the analysis of early brain Magnetic Resonance Imaging (MRI) data typically with extremely low contrast and dynamic imaging appearances, our knowledge of the early macaque cortical development remains scarce. To fill this critical gap, this paper characterizes the early developmental patterns of cortical thickness and surface area in rhesus macaques by leveraging advanced computing tools tailored for early developing brains based on a densely sampled longitudinal dataset with 140 rhesus macaque MRI scans seamlessly covering from birth to 36 mo of age. The average cortical thickness exhibits an inverted U-shaped trajectory with peak thickness at around 4.3 mo of age, which is remarkably in line with the age of peak thickness at 14 mo in humans, considering the around 3:1 age ratio of human to macaque. The total cortical surface area in macaques increases monotonically but with relatively lower expansions than in humans. The spatial distributions of thicker and thinner regions are quite consistent during development, with gyri having a thicker cortex than sulci. By 4 mo of age, over 81% of cortical vertices have reached their peaks in thickness, except for the insula and medial temporal cortices, while most cortical vertices keep expanding in surface area, except for the occipital cortex. These findings provide important insights into early brain development and evolution in primates.
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Affiliation(s)
- Jing Xia
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
| | - Fan Wang
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
| | - Ya Wang
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
| | - Li Wang
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
| | - Gang Li
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
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Ford A, Kovacs-Balint ZA, Wang A, Feczko E, Earl E, Miranda-Domínguez Ó, Li L, Styner M, Fair D, Jones W, Bachevalier J, Sánchez MM. Functional maturation in visual pathways predicts attention to the eyes in infant rhesus macaques: Effects of social status. Dev Cogn Neurosci 2023; 60:101213. [PMID: 36774827 PMCID: PMC9925610 DOI: 10.1016/j.dcn.2023.101213] [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: 10/05/2022] [Revised: 01/31/2023] [Accepted: 02/06/2023] [Indexed: 02/10/2023] Open
Abstract
Differences in looking at the eyes of others are one of the earliest behavioral markers for social difficulties in neurodevelopmental disabilities, including autism. However, it is unknown how early visuo-social experiences relate to the maturation of infant brain networks that process visual social stimuli. We investigated functional connectivity (FC) within the ventral visual object pathway as a contributing neural system. Densely sampled, longitudinal eye-tracking and resting state fMRI (rs-fMRI) data were collected from infant rhesus macaques, an important model of human social development, from birth through 6 months of age. Mean trajectories were fit for both datasets and individual trajectories from subjects with both eye-tracking and rs-fMRI data were used to test for brain-behavior relationships. Exploratory findings showed infants with greater increases in FC between left V1 to V3 visual areas have an earlier increase in eye-looking before 2 months. This relationship was moderated by social status such that infants with low social status had a stronger association between left V1 to V3 connectivity and eye-looking than high status infants. Results indicated that maturation of the visual object pathway may provide an important neural substrate supporting adaptive transitions in social visual attention during infancy.
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Affiliation(s)
- Aiden Ford
- Neuroscience Program, Emory University, Atlanta, GA, USA; Marcus Autism Center, USA.
| | | | - Arick Wang
- Emory Natl. Primate Res. Ctr., Emory Univ., Atlanta, GA, USA; Dept of Psychology, Emory University, Atlanta, GA, USA
| | - Eric Feczko
- Dept. of Pediatrics, University of Minnesota, Minneapolis, MN, USA; Masonic Institute of the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - Eric Earl
- Data Science and Sharing Team, National Institute of Mental Health, NIH, DHHS, Bethesda, MD, USA
| | - Óscar Miranda-Domínguez
- Dept. of Pediatrics, University of Minnesota, Minneapolis, MN, USA; Masonic Institute of the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - Longchuan Li
- Marcus Autism Center, USA; Children's Healthcare of Atlanta, GA, USA; Dept. of Pediatrics, Emory University, Sch. of Med., Atlanta, GA, USA
| | - Martin Styner
- Dept. of Psychiatry, Univ. of North Carolina, Chapel Hill, NC, USA
| | - Damien Fair
- Dept. of Pediatrics, University of Minnesota, Minneapolis, MN, USA; Masonic Institute of the Developing Brain, University of Minnesota, Minneapolis, MN, USA; Institute of Child Development, University of Minnesota, Minneapolis, MN, USA; Center for Magnetic Resonance Research and Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Warren Jones
- Marcus Autism Center, USA; Children's Healthcare of Atlanta, GA, USA; Dept. of Pediatrics, Emory University, Sch. of Med., Atlanta, GA, USA
| | - Jocelyne Bachevalier
- Emory Natl. Primate Res. Ctr., Emory Univ., Atlanta, GA, USA; Dept of Psychology, Emory University, Atlanta, GA, USA
| | - Mar M Sánchez
- Emory Natl. Primate Res. Ctr., Emory Univ., Atlanta, GA, USA; Dept. Psychiatry & Behavioral Sciences, Emory Univ., Sch. of Med., Atlanta, GA, USA
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Kovacs-Balint ZA, Raper J, Richardson R, Gopakumar A, Kettimuthu KP, Higgins M, Feczko E, Earl E, Ethun KF, Li L, Styner M, Fair D, Bachevalier J, Sanchez MM. The role of puberty on physical and brain development: A longitudinal study in male Rhesus Macaques. Dev Cogn Neurosci 2023; 60:101237. [PMID: 37031512 PMCID: PMC10114189 DOI: 10.1016/j.dcn.2023.101237] [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] [Received: 07/04/2022] [Revised: 02/20/2023] [Accepted: 03/21/2023] [Indexed: 04/07/2023] Open
Abstract
This study examined the role of male pubertal maturation on physical growth and development of neurocircuits that regulate stress, emotional and cognitive control using a translational nonhuman primate model. We collected longitudinal data from male macaques between pre- and peri-puberty, including measures of physical growth, pubertal maturation (testicular volume, blood testosterone -T- concentrations) and brain structural and resting-state functional MRI scans to examine developmental changes in amygdala (AMY), hippocampus (HIPPO), prefrontal cortex (PFC), as well as functional connectivity (FC) between those regions. Physical growth and pubertal measures increased from pre- to peri-puberty. The indexes of pubertal maturation -testicular size and T- were correlated at peri-puberty, but not at pre-puberty (23 months). Our findings also showed ICV, AMY, HIPPO and total PFC volumetric growth, but with region-specific changes in PFC. Surprisingly, FC in these neural circuits only showed developmental changes from pre- to peri-puberty for HIPPO-orbitofrontal FC. Finally, testicular size was a better predictor of brain structural maturation than T levels -suggesting gonadal hormones-independent mechanisms-, whereas T was a strong predictor of functional connectivity development. We expect that these neural circuits will show more drastic pubertal-dependent maturation, including stronger associations with pubertal measures later, during and after male puberty.
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Affiliation(s)
- Z A Kovacs-Balint
- Emory National Primate Research Center, Emory University, Atlanta, GA 30329, USA.
| | - J Raper
- Emory National Primate Research Center, Emory University, Atlanta, GA 30329, USA; Dept. of Pediatrics, Emory University, Atlanta, GA 30322, USA
| | - R Richardson
- Emory National Primate Research Center, Emory University, Atlanta, GA 30329, USA
| | - A Gopakumar
- Emory National Primate Research Center, Emory University, Atlanta, GA 30329, USA
| | - K P Kettimuthu
- Emory National Primate Research Center, Emory University, Atlanta, GA 30329, USA
| | - M Higgins
- Office of Nursing Research, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA 30322, USA
| | - E Feczko
- Dept. of Pediatrics, University of Minnesota, Minneapolis, MN 55414, USA; Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN 55414, USA
| | - E Earl
- Dept. of Behavioral Neuroscience, Oregon Health & Sciences University, Portland, OR 97239, USA
| | - K F Ethun
- Emory National Primate Research Center, Emory University, Atlanta, GA 30329, USA
| | - L Li
- Dept. of Pediatrics, Emory University, Atlanta, GA 30322, USA; Marcus Autism Center; Children's Healthcare of Atlanta, GA, USA
| | - M Styner
- Dept. of Psychiatry, University of North Carolina, Chapel Hill, NC 27514, USA
| | - D Fair
- Dept. of Pediatrics, University of Minnesota, Minneapolis, MN 55414, USA; Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN 55414, USA
| | - J Bachevalier
- Emory National Primate Research Center, Emory University, Atlanta, GA 30329, USA
| | - M M Sanchez
- Emory National Primate Research Center, Emory University, Atlanta, GA 30329, USA; Dept. of Psychiatry & Behavioral Sciences, Emory University, Atlanta, GA 30322, USA
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Abstract
During evolution, the cerebral cortex advances by increasing in surface and the introduction of new cytoarchitectonic areas among which the prefrontal cortex (PFC) is considered to be the substrate of highest cognitive functions. Although neurons of the PFC are generated before birth, the differentiation of its neurons and development of synaptic connections in humans extend to the 3rd decade of life. During this period, synapses as well as neurotransmitter systems including their receptors and transporters, are initially overproduced followed by selective elimination. Advanced methods applied to human and animal models, enable investigation of the cellular mechanisms and role of specific genes, non-coding regulatory elements and signaling molecules in control of prefrontal neuronal production and phenotypic fate, as well as neuronal migration to establish layering of the PFC. Likewise, various genetic approaches in combination with functional assays and immunohistochemical and imaging methods reveal roles of neurotransmitter systems during maturation of the PFC. Disruption, or even a slight slowing of the rate of neuronal production, migration and synaptogenesis by genetic or environmental factors, can induce gross as well as subtle changes that eventually can lead to cognitive impairment. An understanding of the development and evolution of the PFC provide insight into the pathogenesis and treatment of congenital neuropsychiatric diseases as well as idiopathic developmental disorders that cause intellectual disabilities.
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Affiliation(s)
- Sharon M Kolk
- Department of Molecular Neurobiology, Donders Institute for Brain, Cognition and Behaviour and Faculty of Science, Radboud University, Nijmegen, The Netherlands.
| | - Pasko Rakic
- Department of Neuroscience and Kavli Institute for Neuroscience, Yale University, New Haven, Connecticut, USA.
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Nader MA. The impact of social variables in preclinical models of cocaine abuse. Fac Rev 2021; 10:76. [PMID: 34746929 PMCID: PMC8546596 DOI: 10.12703/r/10-76] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
At present, there are no US Food and Drug Administration–approved treatments for cocaine use disorders. One consideration for this lack of treatment efficacy stems from the appropriate use of animal models. The premise of this commentary is that social behavior needs to be incorporated in animal models of cocaine use disorder. The goal of this commentary is to describe some of the strengths and limitations of recent preclinical animal models of cocaine abuse which have incorporated social behavior. There are many ways to include social variables into preclinical research, and the study design will depend on the questions asked. Four general types of studies incorporating social factors are described: those involving aggression (that is, maternal neglect and social defeat), modeling, social reward, and social housing, including social isolation. The inclusion of social variables into preclinical research will help identify biobehavioral markers that may lead to an individualized treatment approach that more effectively decreases cocaine use. These studies will aid in the development of novel pharmacotherapies as well as non-pharmacological interventions (for example, punishment, alternative reinforcers, and environmental enrichment) that would be critical for informing policy decisions.
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Affiliation(s)
- Michael A Nader
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, 546 NRC, Medical Center Boulevard, Winston-Salem, NC 27157-1083, USA
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9
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Kovacs Balint Z, Raper J, Michopoulos V, Howell LH, Gunter C, Bachevalier J, Sanchez MM. Validation of the Social Responsiveness Scale (SRS) to screen for atypical social behaviors in juvenile macaques. PLoS One 2021; 16:e0235946. [PMID: 34014933 PMCID: PMC8136728 DOI: 10.1371/journal.pone.0235946] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 04/12/2021] [Indexed: 12/28/2022] Open
Abstract
Primates form strong social bonds and depend on social relationships and networks that provide shared resources and protection critical for survival. Social deficits such as those present in autism spectrum disorder (ASD) and other psychiatric disorders hinder the individual’s functioning in communities. Given that early diagnosis and intervention can improve outcomes and trajectories of ASD, there is a great need for tools to identify early markers for screening/diagnosis, and for translational animal models to uncover biological mechanisms and develop treatments. One of the most widely used screening tools for ASD in children is the Social Responsiveness Scale (SRS), a quantitative measure used to identify individuals with atypical social behaviors. The SRS has been adapted for use in adult rhesus monkeys (Macaca mulatta)–a species very close to humans in terms of social behavior, brain anatomy/connectivity and development–but has not yet been validated or adapted for a necessary downward extension to younger ages matching those for ASD diagnosis in children. The goal of the present study was to adapt and validate the adult macaque SRS (mSRS) in juvenile macaques with age equivalent to mid-childhood in humans. Expert primate coders modified the mSRS to adapt it to rate atypical social behaviors in juvenile macaques living in complex social groups at the Yerkes National Primate Research Center. Construct and face validity of this juvenile mSRS (jmSRS) was determined based on well-established and operationalized measures of social and non-social behaviors in this species using traditional behavioral observations. We found that the jmSRS identifies variability in social responsiveness of juvenile rhesus monkeys and shows strong construct/predictive validity, as well as sensitivity to detect atypical social behaviors in young male and female macaques across social status. Thus, the jmSRS provides a promising tool for translational research on macaque models of children social disorders.
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Affiliation(s)
- Z. Kovacs Balint
- Yerkes National Primate Research Center, Emory University, Atlanta, Georgia, United States of America
| | - J. Raper
- Yerkes National Primate Research Center, Emory University, Atlanta, Georgia, United States of America
- Department of Pediatrics, Emory University, Atlanta, Georgia, United States of America
| | - V. Michopoulos
- Yerkes National Primate Research Center, Emory University, Atlanta, Georgia, United States of America
- Department of Psychiatry & Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - L. H. Howell
- Yerkes National Primate Research Center, Emory University, Atlanta, Georgia, United States of America
| | - C. Gunter
- Department of Pediatrics, Emory University, Atlanta, Georgia, United States of America
- Marcus Autism Center, Children’s Healthcare of Atlanta, Atlanta, Georgia, United States of America
- Department of Human Genetics, Emory University, Atlanta, Georgia, United States of America
| | - J. Bachevalier
- Yerkes National Primate Research Center, Emory University, Atlanta, Georgia, United States of America
- Department of Psychology, Emory University, Atlanta, Georgia, United States of America
| | - M. M. Sanchez
- Yerkes National Primate Research Center, Emory University, Atlanta, Georgia, United States of America
- Department of Psychiatry & Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia, United States of America
- * E-mail:
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