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Zhi D, Jiang R, Pearlson G, Fu Z, Qi S, Yan W, Feng A, Xu M, Calhoun V, Sui J. Triple Interactions Between the Environment, Brain, and Behavior in Children: An ABCD Study. Biol Psychiatry 2024; 95:828-838. [PMID: 38151182 PMCID: PMC11006588 DOI: 10.1016/j.biopsych.2023.12.019] [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: 07/27/2023] [Revised: 12/14/2023] [Accepted: 12/18/2023] [Indexed: 12/29/2023]
Abstract
BACKGROUND Environmental exposures play a crucial role in shaping children's behavioral development. However, the mechanisms by which these exposures interact with brain functional connectivity and influence behavior remain unexplored. METHODS We investigated the comprehensive environment-brain-behavior triple interactions through rigorous association, prediction, and mediation analyses, while adjusting for multiple confounders. Particularly, we examined the predictive power of brain functional network connectivity (FNC) and 41 environmental exposures for 23 behaviors related to cognitive ability and mental health in 7655 children selected from the Adolescent Brain Cognitive Development (ABCD) Study at both baseline and follow-up. RESULTS FNC demonstrated more predictability for cognitive abilities than for mental health, with cross-validation from the UK Biobank study (N = 20,852), highlighting the importance of thalamus and hippocampus in longitudinal prediction, while FNC+environment demonstrated more predictive power than FNC in both cross-sectional and longitudinal prediction of all behaviors, especially for mental health (r = 0.32-0.63). We found that family and neighborhood exposures were common critical environmental influencers on cognitive ability and mental health, which can be mediated by FNC significantly. Healthy perinatal development was a unique protective factor for higher cognitive ability, whereas sleep problems, family conflicts, and adverse school environments specifically increased risk of poor mental health. CONCLUSIONS This work revealed comprehensive environment-brain-behavior triple interactions based on the ABCD Study, identified cognitive control and default mode networks as the most predictive functional networks for a wide repertoire of behaviors, and underscored the long-lasting impact of critical environmental exposures on childhood development, in which sleep problems were the most prominent factors affecting mental health.
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Affiliation(s)
- Dongmei Zhi
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Rongtao Jiang
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - Godfrey Pearlson
- Department of Psychiatry and Neurobiology, Yale School of Medicine, New Haven, Connecticut
| | - Zening Fu
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia Institute of Technology, Emory University, and Georgia State University, Atlanta, Georgia
| | - Shile Qi
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Weizheng Yan
- National Institute on Alcohol Abuse and Alcoholism, Lab of Neuroimaging, National Institutes of Health, Bethesda, Maryland
| | - Aichen Feng
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Ming Xu
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Vince Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia Institute of Technology, Emory University, and Georgia State University, Atlanta, Georgia.
| | - Jing Sui
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia Institute of Technology, Emory University, and Georgia State University, Atlanta, Georgia.
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2
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Xue K, Gao B, Chen F, Wang M, Cheng J, Zhang B, Zhu W, Qiu S, Geng Z, Zhang X, Cui G, Yu Y, Zhang Q, Liao W, Zhang H, Xu X, Han T, Qin W, Liu F, Liang M, Guo L, Xu Q, Xu J, Fu J, Zhang P, Li W, Shi D, Wang C, Lui S, Yan Z, Zhang J, Li J, Wang D, Xian J, Xu K, Zuo XN, Zhang L, Ye Z, Banaschewski T, Barker GJ, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Brühl R, Martinot JL, Martinot MLP, Artiges E, Nees F, Orfanos DP, Lemaitre H, Poustka L, Hohmann S, Holz N, Fröhner JH, Smolka MN, Vaidya N, Walter H, Whelan R, Shen W, Miao Y, Yu C. Covariation of preadult environmental exposures, adult brain imaging phenotypes, and adult personality traits. Mol Psychiatry 2023; 28:4853-4866. [PMID: 37737484 DOI: 10.1038/s41380-023-02261-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 09/05/2023] [Accepted: 09/08/2023] [Indexed: 09/23/2023]
Abstract
Exposure to preadult environmental exposures may have long-lasting effects on mental health by affecting the maturation of the brain and personality, two traits that interact throughout the developmental process. However, environment-brain-personality covariation patterns and their mediation relationships remain unclear. In 4297 healthy participants (aged 18-30 years), we combined sparse multiple canonical correlation analysis with independent component analysis to identify the three-way covariation patterns of 59 preadult environmental exposures, 760 adult brain imaging phenotypes, and five personality traits, and found two robust environment-brain-personality covariation models with sex specificity. One model linked greater stress and less support to weaker functional connectivity and activity in the default mode network, stronger activity in subcortical nuclei, greater thickness and volume in the occipital, parietal and temporal cortices, and lower agreeableness, consciousness and extraversion as well as higher neuroticism. The other model linked higher urbanicity and better socioeconomic status to stronger functional connectivity and activity in the sensorimotor network, smaller volume and surface area and weaker functional connectivity and activity in the medial prefrontal cortex, lower white matter integrity, and higher openness to experience. We also conducted mediation analyses to explore the potential bidirectional mediation relationships between adult brain imaging phenotypes and personality traits with the influence of preadult environmental exposures and found both environment-brain-personality and environment-personality-brain pathways. We finally performed moderated mediation analyses to test the potential interactions between macro- and microenvironmental exposures and found that one category of exposure moderated the mediation pathways of another category of exposure. These results improve our understanding of the effects of preadult environmental exposures on the adult brain and personality traits and may facilitate the design of targeted interventions to improve mental health by reducing the impact of adverse environmental exposures.
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Affiliation(s)
- Kaizhong Xue
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Bo Gao
- Department of Radiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China
- Department of Radiology, Yantai Yuhuangding Hospital, Yantai, 264000, China
| | - Feng Chen
- Department of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, 570311, China
| | - Meiyun Wang
- Department of Radiology, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, 450003, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Bing Zhang
- Department of Radiology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, 210008, China
| | - Wenzhen Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Shijun Qiu
- Department of Medical Imaging, The First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, 510405, China
| | - Zuojun Geng
- Department of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, China
| | - Xiaochu Zhang
- Division of Life Science and Medicine, University of Science & Technology of China, Hefei, 230027, China
| | - Guangbin Cui
- Functional and Molecular Imaging Key Lab of Shaanxi Province & Department of Radiology, Tangdu Hospital, Air Force Medical University, Xi'an, 710038, China
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Quan Zhang
- Department of Radiology, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin, 300162, China
| | - Weihua Liao
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, China
- Molecular Imaging Research Center of Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Hui Zhang
- Department of Radiology, The First Hospital of Shanxi Medical University, Taiyuan, 030001, China
| | - Xiaojun Xu
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, 310009, China
| | - Tong Han
- Department of Radiology, Tianjin Huanhu Hospital, Tianjin, 300350, China
| | - Wen Qin
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Feng Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Meng Liang
- School of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, 300203, China
| | - Lining Guo
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Qiang Xu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Jiayuan Xu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Jilian Fu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Peng Zhang
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
| | - Wei Li
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
| | - Dapeng Shi
- Department of Radiology, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, 450003, China
| | - Caihong Wang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Su Lui
- Department of Radiology, the Center for Medical Imaging, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Zhihan Yan
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, China
| | - Jing Zhang
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, 730030, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, 730030, China
| | - Jiance Li
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Dawei Wang
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Junfang Xian
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China
| | - Kai Xu
- Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, China
| | - Xi-Nian Zuo
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
- Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Longjiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, China
| | - Zhaoxiang Ye
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Gareth J Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, London, United Kingdom
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131, Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, F-91191, Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, 05405, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales & psychiatrie", University Paris-Saclay, CNRS; Ecole Normale Supérieure Paris-Saclay, Centre Borelli, Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales & psychiatrie", University Paris-Saclay, CNRS; Ecole Normale Supérieure Paris-Saclay, Centre Borelli, Gif-sur-Yvette, France
- AP-HP. Sorbonne University, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales & psychiatrie", University Paris-Saclay, CNRS; Ecole Normale Supérieure Paris-Saclay, Centre Borelli, Gif-sur-Yvette, France
- Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | | | - Herve Lemaitre
- NeuroSpin, CEA, Université Paris-Saclay, F-91191, Gif-sur-Yvette, France
- Institut des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, 33076, Bordeaux, France
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Nathalie Holz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Wen Shen
- Department of Radiology, Tianjin First Center Hospital, Tianjin, 300192, China.
| | - Yanwei Miao
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.
| | - Chunshui Yu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China.
- CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
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Vaquero-Rodríguez A, Razquin J, Zubelzu M, Bidgood R, Bengoetxea H, Miguelez C, Morera-Herreras T, Ruiz-Ortega JA, Lafuente JV, Ortuzar N. Efficacy of invasive and non-invasive methods for the treatment of Parkinson's disease: Nanodelivery and enriched environment. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2023; 172:103-143. [PMID: 37833010 DOI: 10.1016/bs.irn.2023.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/15/2023]
Abstract
Parkinson's disease (PD) is the second most common neurodegenerative disorder characterised by the loss of dopaminergic neurons in the substantia nigra pars compacta and the subsequent motor disability. The most frequently used treatments in clinics, such as L-DOPA, restore dopaminergic neurotransmission in the brain. However, these treatments are only symptomatic, have temporary efficacy, and produce side effects. Part of the side effects are related to the route of administration as the consumption of oral tablets leads to unspecific pulsatile activation of dopaminergic receptors. For this reason, it is necessary to not only find alternative treatments, but also to develop new administration systems with better security profiles. Nanoparticle delivery systems are new administration forms designed to reach the pharmacological target in a highly specific way, leading to better drug bioavailability, efficacy and safety. Some of these delivery systems have shown promising results in animal models of PD not only when dopaminergic drugs are administered, but even more when neurotrophic factors are released. These latter compounds promote maturation and survival of dopaminergic neurons and can be exogenously administered in the form of pharmacological therapy or endogenously generated by non-pharmacological methods. In this sense, experimental exposure to enriched environments, a non-invasive strategy based on the combination of social and inanimate stimuli, enhances the production of neurotrophic factors and produces a neuroprotective effect in parkinsonian animals. In this review, we will discuss new nanodelivery systems in PD with a special focus on therapies that increase the release of neurotrophic factors.
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Affiliation(s)
- Andrea Vaquero-Rodríguez
- Department of Neurosciences, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa, Spain; Neurodegenerative diseases Group, Biocruces Health Research Institute, Barakaldo, Bizkaia, Spain
| | - Jone Razquin
- Neurodegenerative diseases Group, Biocruces Health Research Institute, Barakaldo, Bizkaia, Spain; Department of Pharmacology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Maider Zubelzu
- Neurodegenerative diseases Group, Biocruces Health Research Institute, Barakaldo, Bizkaia, Spain; Department of Pharmacology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Raphaelle Bidgood
- Department of Pharmacology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Harkaitz Bengoetxea
- Department of Neurosciences, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa, Spain; Neurodegenerative diseases Group, Biocruces Health Research Institute, Barakaldo, Bizkaia, Spain
| | - Cristina Miguelez
- Neurodegenerative diseases Group, Biocruces Health Research Institute, Barakaldo, Bizkaia, Spain; Department of Pharmacology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Teresa Morera-Herreras
- Neurodegenerative diseases Group, Biocruces Health Research Institute, Barakaldo, Bizkaia, Spain; Department of Pharmacology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Jose Angel Ruiz-Ortega
- Neurodegenerative diseases Group, Biocruces Health Research Institute, Barakaldo, Bizkaia, Spain; Department of Pharmacology, Faculty of Pharmacy, University of the Basque Country (UPV/EHU), Vitoria, Spain
| | - José Vicente Lafuente
- Department of Neurosciences, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa, Spain; Neurodegenerative diseases Group, Biocruces Health Research Institute, Barakaldo, Bizkaia, Spain
| | - Naiara Ortuzar
- Department of Neurosciences, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa, Spain; Neurodegenerative diseases Group, Biocruces Health Research Institute, Barakaldo, Bizkaia, Spain.
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Lambert CT, Guillette LM. The impact of environmental and social factors on learning abilities: a meta-analysis. Biol Rev Camb Philos Soc 2021; 96:2871-2889. [PMID: 34342125 DOI: 10.1111/brv.12783] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 07/12/2021] [Accepted: 07/16/2021] [Indexed: 12/20/2022]
Abstract
Since the 1950s, researchers have examined how differences in the social and asocial environment affect learning in rats, mice, and, more recently, a variety of other species. Despite this large body of research, little has been done to synthesize these findings and to examine if social and asocial environmental factors have consistent effects on cognitive abilities, and if so, what aspects of these factors have greater or lesser impact. Here, we conducted a systematic review and meta-analysis examining how different external environmental features, including the social environment, impact learning (both speed of acquisition and performance). Using 531 mean-differences from 176 published articles across 27 species (with studies on rats and mice being most prominent) we conducted phylogenetically corrected mixed-effects models that reveal: (i) an average absolute effect size |d| = 0.55 and directional effect size d = 0.34; (ii) interventions manipulating the asocial environment result in larger effects than social interventions alone; and (iii) the length of the intervention is a significant predictor of effect size, with longer interventions resulting in larger effects. Additionally, much of the variation in effect size remained unexplained, possibly suggesting that species differ widely in how they are affected by environmental interventions due to varying ecological and evolutionary histories. Overall our results suggest that social and asocial environmental factors do significantly affect learning, but these effects are highly variable and perhaps not always as predicted. Most notably, the type (social or asocial) and length of interventions are important in determining the strength of the effect.
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Affiliation(s)
- Connor T Lambert
- Department of Psychology, University of Alberta, P217 Biological Sciences Building, Edmonton, AB, T6G 2R3, Canada
| | - Lauren M Guillette
- Department of Psychology, University of Alberta, P217 Biological Sciences Building, Edmonton, AB, T6G 2R3, Canada
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5
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Mallya AP, Wang HD, Lee HNR, Deutch AY. Microglial Pruning of Synapses in the Prefrontal Cortex During Adolescence. Cereb Cortex 2020; 29:1634-1643. [PMID: 29668872 DOI: 10.1093/cercor/bhy061] [Citation(s) in RCA: 93] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Revised: 02/19/2018] [Accepted: 02/22/2018] [Indexed: 12/20/2022] Open
Abstract
Exaggerated synaptic elimination in the prefrontal cortex (PFC) during adolescence has been suggested to contribute to the neuropathological changes of schizophrenia. Recent data indicate that microglia (MG) sculpt synapses during early postnatal development. However, it is not known if MG contribute to the structural maturation of the PFC, which has a protracted postnatal development. We determined if MG are involved in developmentally specific synapse elimination in the PFC, focusing on adolescence. Layer 5 PFC pyramidal cells (PCs) were intracellularly filled with Lucifer Yellow for dendritic spine measurements in postnatal day (P) 24, P30, P35, P39, and P50 rats. In the contralateral PFC we evaluated if MG engulfed presynaptic (glutamatergic) and postsynaptic (dendritic spines) elements. Dendritic spine density increased from P24 to P35, when spine density peaked. There was a significant increase in MG engulfment of spines at P39 relative to earlier ages; this subsided by P50. MG also phagocytosed presynaptic glutamatergic terminals. These data indicate that MG transiently prune synapses of PFC PCs during adolescence, when the symptoms of schizophrenia typically first appear. An increase in MG-mediated synaptic remodeling of PFC PCs may contribute to the structural changes observed in schizophrenia.
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Affiliation(s)
| | - Hui-Dong Wang
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Han Noo Ri Lee
- Neuroscience Program, Vanderbilt University, Nashville, TN, USA
| | - Ariel Y Deutch
- Neuroscience Program, Vanderbilt University, Nashville, TN, USA.,Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Pharmacology, Vanderbilt University, Nashville, TN, USA
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6
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Cassel JC. Environment is not trivial! Epilepsia 2019; 60:2020-2022. [PMID: 31584192 DOI: 10.1111/epi.16346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Accepted: 08/28/2019] [Indexed: 11/30/2022]
Affiliation(s)
- Jean-Christophe Cassel
- Laboratory of Cognitive and Adaptive Neurosciences, University of Strasbourg, Strasbourg, France.,National Center for Scientific Research, Laboratory of Cognitive and Adaptive Neurosciences, Mixed Unit of Research 7364, Strasbourg, France
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7
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Habibi A, Damasio A, Ilari B, Veiga R, Joshi AA, Leahy RM, Haldar JP, Varadarajan D, Bhushan C, Damasio H. Childhood Music Training Induces Change in Micro and Macroscopic Brain Structure: Results from a Longitudinal Study. Cereb Cortex 2017; 28:4336-4347. [DOI: 10.1093/cercor/bhx286] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Accepted: 10/06/2017] [Indexed: 12/21/2022] Open
Affiliation(s)
- Assal Habibi
- Brain and Creativity Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, CA, USA
| | - Antonio Damasio
- Brain and Creativity Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, CA, USA
| | - Beatriz Ilari
- Thornton School of Music, University of Southern California, CA, USA
| | - Ryan Veiga
- Brain and Creativity Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, CA, USA
| | - Anand A Joshi
- Brain and Creativity Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, CA, USA
- Signal and Image Processing Institute, Ming Hsieh Department of Electrical Engineering, University of Southern California, CA, USA
| | - Richard M Leahy
- Signal and Image Processing Institute, Ming Hsieh Department of Electrical Engineering, University of Southern California, CA, USA
| | - Justin P Haldar
- Brain and Creativity Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, CA, USA
- Signal and Image Processing Institute, Ming Hsieh Department of Electrical Engineering, University of Southern California, CA, USA
| | - Divya Varadarajan
- Signal and Image Processing Institute, Ming Hsieh Department of Electrical Engineering, University of Southern California, CA, USA
| | - Chitresh Bhushan
- Signal and Image Processing Institute, Ming Hsieh Department of Electrical Engineering, University of Southern California, CA, USA
| | - Hanna Damasio
- Brain and Creativity Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, CA, USA
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Noble KG, Houston SM, Brito NH, Bartsch H, Kan E, Kuperman JM, Akshoomoff N, Amaral DG, Bloss CS, Libiger O, Schork NJ, Murray SS, Casey BJ, Chang L, Ernst TM, Frazier JA, Gruen JR, Kennedy DN, Van Zijl P, Mostofsky S, Kaufmann WE, Kenet T, Dale AM, Jernigan TL, Sowell ER. Family income, parental education and brain structure in children and adolescents. Nat Neurosci 2015; 18:773-8. [PMID: 25821911 PMCID: PMC4414816 DOI: 10.1038/nn.3983] [Citation(s) in RCA: 699] [Impact Index Per Article: 77.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2014] [Accepted: 02/27/2015] [Indexed: 01/18/2023]
Abstract
Socioeconomic disparities are associated with differences in cognitive development. The extent to which this translates to disparities in brain structure is unclear. Here, we investigated relationships between socioeconomic factors and brain morphometry, independently of genetic ancestry, among a cohort of 1099 typically developing individuals between 3 and 20 years. Income was logarithmically associated with brain surface area. Specifically, among children from lower income families, small differences in income were associated with relatively large differences in surface area, whereas, among children from higher income families, similar income increments were associated with smaller differences in surface area. These relationships were most prominent in regions supporting language, reading, executive functions and spatial skills; surface area mediated socioeconomic differences in certain neurocognitive abilities. These data indicate that income relates most strongly to brain structure among the most disadvantaged children. Potential implications are discussed.
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Affiliation(s)
- Kimberly G Noble
- 1] College of Physicians and Surgeons, Columbia University, New York, New York, USA. [2] Teachers College, Columbia University, New York, New York, USA
| | - Suzanne M Houston
- 1] Department of Psychology, University of Southern California, Los Angeles, California, USA. [2] The Saban Research Institute of Children's Hospital, Los Angeles, California, USA. [3] Department of Pediatrics of the Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Natalie H Brito
- Robert Wood Johnson Health and Society Scholar Program, Columbia University, New York, New York, USA
| | - Hauke Bartsch
- Stein Institute for Research on Aging, University of California, San Diego, La Jolla, California, USA
| | - Eric Kan
- 1] The Saban Research Institute of Children's Hospital, Los Angeles, California, USA. [2] Department of Pediatrics of the Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Joshua M Kuperman
- 1] Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, California, USA. [2] Department of Radiology, University of California, San Diego, La Jolla, California, USA. [3] The Pediatric Imaging, Neurocognition, and Genetics Study, San Diego, California, USA
| | - Natacha Akshoomoff
- 1] The Pediatric Imaging, Neurocognition, and Genetics Study, San Diego, California, USA. [2] Center for Human Development, University of California, San Diego, La Jolla, California, USA. [3] Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
| | - David G Amaral
- 1] The Pediatric Imaging, Neurocognition, and Genetics Study, San Diego, California, USA. [2] The MIND Institute, University of California at Davis, Davis, California, USA
| | - Cinnamon S Bloss
- 1] The Pediatric Imaging, Neurocognition, and Genetics Study, San Diego, California, USA. [2] The Qualcomm Institute, University of California, San Diego, La Jolla, California, USA
| | | | - Nicholas J Schork
- Human Biology, J. Craig Venter Institute, University of California, San Diego, La Jolla, California, USA
| | - Sarah S Murray
- 1] The Pediatric Imaging, Neurocognition, and Genetics Study, San Diego, California, USA. [2] Department of Pathology, University of California, San Diego, La Jolla, California, USA
| | - B J Casey
- 1] The Pediatric Imaging, Neurocognition, and Genetics Study, San Diego, California, USA. [2] Weill Medical College of Cornell University, New York, New York, USA
| | - Linda Chang
- 1] The Pediatric Imaging, Neurocognition, and Genetics Study, San Diego, California, USA. [2] Department of Medicine, John A. Burns School of Medicine, University of Hawaii and the Queen's Medical Center, Honolulu, Hawaii, USA
| | - Thomas M Ernst
- 1] The Pediatric Imaging, Neurocognition, and Genetics Study, San Diego, California, USA. [2] Department of Medicine, John A. Burns School of Medicine, University of Hawaii and the Queen's Medical Center, Honolulu, Hawaii, USA
| | - Jean A Frazier
- 1] The Pediatric Imaging, Neurocognition, and Genetics Study, San Diego, California, USA. [2] University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Jeffrey R Gruen
- 1] The Pediatric Imaging, Neurocognition, and Genetics Study, San Diego, California, USA. [2] Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA. [3] Department of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA. [4] Department of Investigative Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| | - David N Kennedy
- 1] The Pediatric Imaging, Neurocognition, and Genetics Study, San Diego, California, USA. [2] University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Peter Van Zijl
- 1] The Pediatric Imaging, Neurocognition, and Genetics Study, San Diego, California, USA. [2] Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA. [3] Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - Stewart Mostofsky
- 1] The Pediatric Imaging, Neurocognition, and Genetics Study, San Diego, California, USA. [2] Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - Walter E Kaufmann
- 1] The Pediatric Imaging, Neurocognition, and Genetics Study, San Diego, California, USA. [2] Department of Neurology, Boston Children's Hospital, Boston, Massachusetts, USA. [3] Harvard Medical School, Boston, Massachusetts, USA
| | - Tal Kenet
- 1] The Pediatric Imaging, Neurocognition, and Genetics Study, San Diego, California, USA. [2] Harvard Medical School, Boston, Massachusetts, USA. [3] Department of Neurology, Massachusetts General Hospital, Massachusetts, USA
| | - Anders M Dale
- 1] Multimodal Imaging Laboratory, University of California, San Diego, La Jolla, California, USA. [2] Department of Radiology, University of California, San Diego, La Jolla, California, USA. [3] The Pediatric Imaging, Neurocognition, and Genetics Study, San Diego, California, USA. [4] Department of Cognitive Science, University of California, San Diego, La Jolla, California, USA. [5] Department of Neurology, Department of Neurosciences, University of California, San Diego, La Jolla, California, USA. [6] Center for Translational Imaging and Personalized Medicine, University of California San Diego, La Jolla, California, USA
| | - Terry L Jernigan
- 1] The Pediatric Imaging, Neurocognition, and Genetics Study, San Diego, California, USA. [2] Center for Human Development, University of California, San Diego, La Jolla, California, USA. [3] Department of Psychiatry, University of California, San Diego, La Jolla, California, USA. [4] Department of Cognitive Science, University of California, San Diego, La Jolla, California, USA
| | - Elizabeth R Sowell
- 1] The Saban Research Institute of Children's Hospital, Los Angeles, California, USA. [2] Department of Pediatrics of the Keck School of Medicine, University of Southern California, Los Angeles, California, USA. [3] The Pediatric Imaging, Neurocognition, and Genetics Study, San Diego, California, USA
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9
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Evolutionary Psychology and the Problem of Neural Plasticity. PHILOSOPHY OF BEHAVIORAL BIOLOGY 2012. [DOI: 10.1007/978-94-007-1951-4_11] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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11
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Environmental enrichment attenuates cue-induced reinstatement of sucrose seeking in rats. Behav Pharmacol 2009; 19:777-85. [PMID: 19020412 DOI: 10.1097/fbp.0b013e32831c3b18] [Citation(s) in RCA: 65] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
This study examined the effect of environmental enrichment on sucrose seeking in rats made abstinent from sucrose for 1 month, as measured by response for a tone+light cue previously associated with 10% sucrose self-administration. Rats were either enriched throughout the study (experiment 1) or only after sucrose self-administration training (experiment 2). Enrichment consisted of either housing the rats in pairs or grouping four rats (ENR4) in a large environment, both with novel objects. Controls (CON) were singly housed without novel objects. In experiment 1, ENR4 rats responded less to the sucrose-paired cue versus CON rats, but this difference was not statistically significant. In contrast, the decrease in response of ENR4 rats versus CON rats in experiment 2 was dramatic and significant. These findings, along with findings from other laboratories, support a hypothesis that the enrichment may provide individuals with a greater ability to discriminate the availability of reward. This may impart a decreased vulnerability to relapse behavior. Therefore, these results are relevant to both eating disorder and drug addiction - disorders characterized by relapse.
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12
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Branchi I. The mouse communal nest: investigating the epigenetic influences of the early social environment on brain and behavior development. Neurosci Biobehav Rev 2008; 33:551-9. [PMID: 18471879 DOI: 10.1016/j.neubiorev.2008.03.011] [Citation(s) in RCA: 114] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2007] [Revised: 03/07/2008] [Accepted: 03/19/2008] [Indexed: 10/22/2022]
Abstract
Among the epigenetic factors shaping brain and behavior during early postnatal life, social experiences have a major impact. Early social experiences are mainly of two kinds: mother-offspring and peer interaction. In rodents, the latter has so far been rarely studied. The communal nest (CN) is an innovative experimental strategy that favors an exhaustive investigation of the long-term effects not only of mother-offspring but also of peer interaction. CN is a rearing condition employed by up to 90% of mouse females in naturalistic settings and consists of a single nest where two or more mothers keep their pups together and share care-giving. Mice reared in a communal nest display relevant changes in brain function and behavior, including high levels of neural plasticity markers, such as brain-derived neurotrophic factor (BDNF), and elaborate adult social competencies. Overall, CN appears as an experimental strategy different and complementary to the ones currently used for studying how the early environment determines developmental trajectories.
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Affiliation(s)
- Igor Branchi
- Section of Behavioural Neurosciences, Department of Cell Biology, Istituto Superiore di Sanità, Viale Regina Elena 299, I-00161 Roma, Italy.
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Amaral OB, Vargas RS, Hansel G, Izquierdo I, Souza DO. Duration of environmental enrichment influences the magnitude and persistence of its behavioral effects on mice. Physiol Behav 2007; 93:388-94. [PMID: 17949760 DOI: 10.1016/j.physbeh.2007.09.009] [Citation(s) in RCA: 47] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2007] [Revised: 07/19/2007] [Accepted: 09/19/2007] [Indexed: 11/26/2022]
Abstract
A wide range of data in the literature suggests that environmental enrichment has beneficial effects on various cognitive parameters in rodents. However, the magnitude of these effects and their persistence after the cessation of enrichment vary markedly across studies, with the use of different enrichment protocols probably playing a significant role in this variation. Using an open field habituation task as a paradigm, we investigate whether the duration and starting age of environmental enrichment affect the magnitude and persistence of its behavioral effects on male CF-1 albino mice. Our data shows that, at least in our protocol, (a) environmental enrichment, both after weaning and in early adulthood, decreases locomotion in an open field task, probably by increasing habituation; (b) a minimum enrichment period is necessary to induce this behavioral effect; (c) the effect of enrichment can persist at least partially for many months after its cessation; and (d) the degree of this persistence appears to be somewhat greater in animals exposed to longer durations of enrichment.
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Affiliation(s)
- Olavo B Amaral
- Depatmento de Bioquímica, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Brazil.
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14
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D'Andrea I, Alleva E, Branchi I. Communal nesting, an early social enrichment, affects social competences but not learning and memory abilities at adulthood. Behav Brain Res 2007; 183:60-6. [PMID: 17624451 DOI: 10.1016/j.bbr.2007.05.029] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2007] [Revised: 05/17/2007] [Accepted: 05/23/2007] [Indexed: 10/23/2022]
Abstract
We exposed mouse pups to an early social enrichment, the communal nest (CN), to study the effects of the early social experiences on adult brain function and behavior. CN, which consists of a single nest where three mothers keep their pups together and share care-giving behavior from birth to weaning (postnatal day 25), mimics the natural ecological niche of the mouse species. In order to better characterize the previously reported effect of CN on social behavior and to evaluate the extent to which the effects of the CN tend to be pervasive across different behavioral competences, we carried out both a detailed analysis of home-cage social behavior, taking into account the time of the day and absence/presence of an established social hierarchy, and of learning and memory abilities in the water maze. Home-cage observations revealed that, when the hierarchy is established, CN mice display higher levels of social investigation behavior, namely allogrooming and allosniffing, compared to mice reared in standard laboratory conditions (SN). However, when exposed to cage cleaning, a stimulus challenging social hierarchy, CN mice display higher levels of offensive behavior. In the water maze test, CN mice showed a performance similar to that of SN mice. Overall, the present findings confirm that CN mice have elaborate social competencies displaying high levels of aggressive behavior when needed to set up or defend their own territory. Furthermore, present data suggest that the early social enrichment specifically affect adult social behavior but not learning and memory abilities.
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Affiliation(s)
- Ivana D'Andrea
- Section of Behavioural Neurosciences, Department of Cell Biology and Neurosciences, Istituto Superiore di Sanità, Viale Regina Elena 299, I-00161 Rome, Italy
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15
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Kronenberg G, Wang LP, Geraerts M, Babu H, Synowitz M, Vicens P, Lutsch G, Glass R, Yamaguchi M, Baekelandt V, Debyser Z, Kettenmann H, Kempermann G. Local origin and activity-dependent generation of nestin-expressing protoplasmic astrocytes in CA1. Brain Struct Funct 2007; 212:19-35. [PMID: 17717696 DOI: 10.1007/s00429-007-0141-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2006] [Accepted: 04/18/2007] [Indexed: 12/15/2022]
Abstract
Since reports that precursor cells in the adult subventricular zone (SVZ) contribute to regenerative neuro- and gliogenesis in CA1, we wondered whether a similar route of migration might also exist under physiological conditions. Permanent labeling of SVZ precursor cells with a lentiviral vector for green fluorescent protein did not reveal any migration from the SVZ into CA1 in the intact murine brain. However, in a nestin-GFP reporter mouse we found proliferating cells within the corpus callosum/alveus region expressing nestin and glial fibrillary acidic protein similar to precursor cells in the neighboring neurogenic region of the adult dentate gyrus. Within 3 weeks of BrdU administration, BrdU-positive nestin-GFP-expressing protoplasmic astrocytes emerged in CA1. Similar to precursor cells isolated from the dentate gyrus and the SVZ, nestin-GFP-expressing cells from corpus callosum/alveus were self-renewing and multipotent in vitro, whereas cells isolated from CA1 were not. Nestin-GFP-expressing cells in CA1 differentiated into postmitotic astrocytes characterized by S100beta expression. No new neurons were found in CA1. The number of nestin-GFP-expressing astrocytes in CA1 was increased by environmental enrichment. We conclude that astrogenesis in CA1 is influenced by environmental conditions. However, SVZ precursor cells do not contribute to physiological cellular plasticity in CA1.
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Affiliation(s)
- Golo Kronenberg
- Max Delbrück Center for Molecular Medicine (MDC), Berlin-Buch, Robert-Rössle-Str. 10, 13125 Berlin, Germany
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16
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Jedynak JP, Uslaner JM, Esteban JA, Robinson TE. Methamphetamine-induced structural plasticity in the dorsal striatum. Eur J Neurosci 2007; 25:847-53. [PMID: 17328779 DOI: 10.1111/j.1460-9568.2007.05316.x] [Citation(s) in RCA: 119] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Repeated exposure to psychostimulant drugs produces long-lasting changes in dendritic structure, presumably reflecting a reorganization in patterns of synaptic connectivity, in brain regions that mediate the psychomotor activating and incentive motivational effects of these drugs, including the nucleus accumbens and prefrontal cortex. However, repeated exposure to psychostimulant drugs also facilitates a transition in the control of some behaviors from action-outcome associations to behavior controlled by stimulus-response (S-R) habits. This latter effect is thought to be due to increasing engagement and control over behavior by the dorsolateral (but not dorsomedial) striatum. We hypothesized therefore that repeated exposure to methamphetamine would differentially alter the density of dendritic spines on medium spiny neurons (MSNs) in the dorsolateral vs. dorsomedial striatum. Rats were treated with repeated injections of methamphetamine, and 3 months later dendrites were visualized using Sindbis virus-mediated green fluorescent protein (GFP) expression in vivo. We report that prior exposure to methamphetamine produced a significant increase in mushroom and thin spines on MSNs in the dorsolateral striatum, but a significant decrease in mushroom spines in the dorsomedial striatum. This may be due to changes in the glutamatergic innervation of these two subregions of the dorsal striatum. Thus, we speculate that exposure to psychostimulant drugs may facilitate the development of S-R habits because this reorganizes patterns of synaptic connectivity in the dorsal striatum in a way that increases control over behavior by the dorsolateral striatum.
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Affiliation(s)
- Jakub P Jedynak
- Neuroscience Program, The University of Michigan, Ann Arbor, MI, USA
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17
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Miu AC, Heilman RM, Paşca SP, Stefan CA, Spânu F, Vasiu R, Olteanu AI, Miclea M. Behavioral effects of corpus callosum transection and environmental enrichment in adult rats. Behav Brain Res 2006; 172:135-44. [PMID: 16764947 DOI: 10.1016/j.bbr.2006.05.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2006] [Revised: 05/03/2006] [Accepted: 05/05/2006] [Indexed: 10/24/2022]
Abstract
A common assumption about the corpus callosum transection (CCX) is that it only affects behaviors heavily relying on interhemispheric communication. However, cerebral laterality is ubiquitous across motor and perceptual, cognitive and emotional domains, and the corpus callosum is important for its establishment. Several recent studies showed that the partial denervation of the sensorimotor isocortex through CCX derepressed neural growth processes that were sensitive to motor demand (experience-dependent neural plasticity). We investigated whether the facilitatory effects of CCX on cortical neural plasticity, shaped by differential housing, extended beyond the motor domain. Adult rats were housed in enriched (EE), standard (SE) or impoverished environments (IE) for 10 weeks, that is, 2 weeks before they underwent CCX or sham surgery, and, then, 8 weeks throughout the experiments. After they recovered from surgery, the behavioral performance of rats was tested using open-field, spontaneous alternation in the T-maze, paw preference, Morris water maze, and tone fear conditioning. The results indicated that the effects of CCX and housing on open-field behavior were independent, with CCX increasing the time spent in the center of the field at the beginning of the observation (i.e., emotionality), and EE and IE increasing rearing (emotionality) and reducing teeth-chattering (habituation), respectively. CCX reduced the frequency of spontaneous alternation, denoting spatial working memory deficits, while housing did not influence this performance. Neither CCX, nor housing significantly affected paw preference lateralization, although CCX was associated with a leftward bias in paw preference. In the Morris water maze, housing had effects on spatial acquisition, while CCX reduced activity, without interfering with spatial memory. CCX did not influence tone fear conditioning, but context fear conditioning seemed to benefit from EE. We conclude that CCX in adult rats has subtle, but specific behavioral effects pertaining to emotionality, spatial working memory, and, possibly, aversively motivated exploration, and these effects are either independent or only peripherally interact with the effects of housing.
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Affiliation(s)
- Andrei C Miu
- Program of Cognitive Neuroscience, Department of Psychology, Babeş-Bolyai University, 37 Republicii Street, Cluj-Napoca, CJ 400015, Romania.
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18
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Branchi I, Alleva E. Communal nesting, an early social enrichment, increases the adult anxiety-like response and shapes the role of social context in modulating the emotional behavior. Behav Brain Res 2006; 172:299-306. [PMID: 16806520 DOI: 10.1016/j.bbr.2006.05.019] [Citation(s) in RCA: 57] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2006] [Revised: 05/10/2006] [Accepted: 05/12/2006] [Indexed: 10/24/2022]
Abstract
Early experiences affect brain function and behavior at adulthood. Being reared in a communal nest (CN), consisting in a single nest where three mothers keep their pups together and share care-giving behavior from birth to weaning (postnatal day 25), provides a highly stimulating social environment to the developing pup. CN characterizes the natural ecological niche of many rodent species including the mouse. Here we show that, at adulthood, compared to mice reared in standard laboratory conditions (SN), CN reared mice displayed increased anxiety-like behavior, performing more thigmotaxis in the open field and spending less time in the open arms of the plus-maze. Furthermore, we showed that social context (being alone or with a familiar conspecific in the test apparatus) affects the emotional response in both the plus-maze and open field test and that the relevance of social context changes according to the early social experiences. In particular, CN mice display higher levels of anxiety-like behavior, compared to SN mice, only when alone but not in the presence of a familiar conspecific. Overall, in line with previous findings, the present study suggests that CN mice have a more elaborate social and emotional behavior compared to SN mice and thus may be more appropriate to investigate socio-emotional impairments, in particular in the case of mouse models of neurodevelopmental disorders, such as autism, or anxiety and mood disorders.
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Affiliation(s)
- Igor Branchi
- Section of Behavioural Neurosciences, Department of Cell Biology and Neurosciences, Istituto Superiore di Sanità, Viale Regina Elena 299, I-00161 Rome, Italy.
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19
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Farah MJ, Shera DM, Savage JH, Betancourt L, Giannetta JM, Brodsky NL, Malmud EK, Hurt H. Childhood poverty: Specific associations with neurocognitive development. Brain Res 2006; 1110:166-74. [PMID: 16879809 DOI: 10.1016/j.brainres.2006.06.072] [Citation(s) in RCA: 396] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2006] [Revised: 06/18/2006] [Accepted: 06/21/2006] [Indexed: 11/26/2022]
Abstract
Growing up in poverty is associated with reduced cognitive achievement as measured by standardized intelligence tests, but little is known about the underlying neurocognitive systems responsible for this effect. We administered a battery of tasks designed to tax-specific neurocognitive systems to healthy low and middle SES children screened for medical history and matched for age, gender and ethnicity. Higher SES was associated with better performance on the tasks, as expected, but the SES disparity was significantly nonuniform across neurocognitive systems. Pronounced differences were found in Left perisylvian/Language and Medial temporal/Memory systems, along with significant differences in Lateral/Prefrontal/Working memory and Anterior cingulate/Cognitive control and smaller, nonsignificant differences in Occipitotemporal/Pattern vision and Parietal/Spatial cognition.
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Affiliation(s)
- Martha J Farah
- Department of Psychology and Center for Cognitive Neuroscience, University of Pennsylvania, PA 19104, USA.
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20
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Abstract
Recovery has been identified as a focus for mental health care. Recovery requires learning to live again after a life-altering acute event or during a chronic illness, mental or physical. By analyzing within-person change over time, utilizing multiple sources of evidence, two cases illustrated particular dimensions that influenced the recovery process after stroke, within a biopsychosocial framework. Restoration of the self, through co-occurring, dual processes of grief and reconstruction, appeared to be an essential dimension in the recovery process. Suggestions for integrating this concept into current adult clinical practice are congruent with current models of disease management of several chronic conditions.
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Affiliation(s)
- Marian W Roman
- College of Nursing, The University of Tennessee, Knoxville, Tennessee 37996-4190, USA.
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21
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Kozorovitskiy Y, Gross CG, Kopil C, Battaglia L, McBreen M, Stranahan AM, Gould E. Experience induces structural and biochemical changes in the adult primate brain. Proc Natl Acad Sci U S A 2005; 102:17478-82. [PMID: 16299105 PMCID: PMC1297690 DOI: 10.1073/pnas.0508817102] [Citation(s) in RCA: 143] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Primates exhibit complex social and cognitive behavior in the wild. In the laboratory, however, the expression of their behavior is usually limited. A large body of literature shows that living in an enriched environment alters dendrites and synapses in the brains of adult rodents. To date, no studies have investigated the influence of living in a complex environment on brain structure in adult primates. We assessed dendritic architecture, dendritic spines, and synaptic proteins in adult marmosets housed in either a standard laboratory cage or in one of two differentially complex habitats. A month-long stay in either complex environment enhanced the length and complexity of the dendritic tree and increased dendritic spine density and synaptic protein levels in the hippocampus and prefrontal cortex. No differences were detected between the brains of marmosets living in the two differentially complex environments. Our results show that the structure of the adult primate brain remains highly sensitive even to modest levels of experiential complexity. For adult primates, living in standard laboratory housing may induce reversible dendritic spine and synapse decreases in brain regions important for cognition.
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