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Gu SY, Shi FC, Wang S, Wang CY, Yao XX, Sun YF, Hu JB, Chen F, Pan PL, Li WH. Altered volume of the amygdala subregions in patients with chronic low back pain. Front Neurol 2024; 15:1351335. [PMID: 38606278 PMCID: PMC11007205 DOI: 10.3389/fneur.2024.1351335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 03/19/2024] [Indexed: 04/13/2024] Open
Abstract
Background Neuroimaging studies have suggested a pivotal role for the amygdala involvement in chronic low back pain (CLBP). However, the relationship between the amygdala subregions and CLBP has not yet been delineated. This study aimed to analyze whether the amygdala subregions were linked to the development of CLBP. Methods A total of 45 patients with CLBP and 45 healthy controls (HCs) were included in this study. All subjects were asked to complete a three-dimensional T1-weighted magnetic resonance imaging (3D-T1 MRI) scan. FreeSurfer 7.3.2 was applied to preprocess the structural MRI images and segment the amygdala into nine subregions. Afterwards, comparisons were made between the two groups in terms of the volumes of the amygdala subregions. Correlation analysis is utilized to examine the relationship between the amygdala subregion and the scale scores, as well as the pain duration in patients with CLBP. Additionally, logistic regression was used to explore the risk of the amygdala and its subregions for CLBP. Results In comparison to HCs, patients with CLBP exhibited a significant enlargement of the left central nucleus (Ce) and left cortical nucleus (Co). Furthermore, the increased volume of the left Ce was associated with a higher risk of CLBP. Conclusion Our study suggests that the left Ce and left Co may be involved in the pathophysiological processes of CLBP. Moreover, the volume of the left Ce may be a biomarker for detecting the risk of CLBP.
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Affiliation(s)
- Si-Yu Gu
- Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People’s Hospital, Yancheng, China
| | - Feng-Chao Shi
- Department of Orthopedics, Affiliated Hospital 6 of Nantong University, Yancheng Third People’s Hospital, Yancheng, China
| | - Shu Wang
- Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People’s Hospital, Yancheng, China
| | - Cheng-Yu Wang
- Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People’s Hospital, Yancheng, China
| | - Xin-Xin Yao
- Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People’s Hospital, Yancheng, China
| | - Yi-Fan Sun
- Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People’s Hospital, Yancheng, China
| | - Jian-Bin Hu
- Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People’s Hospital, Yancheng, China
| | - Fei Chen
- Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People’s Hospital, Yancheng, China
| | - Ping-Lei Pan
- Department of Central Laboratory, Affiliated Hospital 6 of Nantong University, Yancheng Third People’s Hospital, Yancheng, China
| | - Wen-Hui Li
- Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People’s Hospital, Yancheng, China
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2
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Xiao T, Roland A, Chen Y, Guffey S, Kash T, Kimbrough A. A role for circuitry of the cortical amygdala in excessive alcohol drinking, withdrawal, and alcohol use disorder. Alcohol 2024; 121:151-159. [PMID: 38447789 PMCID: PMC11371945 DOI: 10.1016/j.alcohol.2024.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 01/30/2024] [Accepted: 02/26/2024] [Indexed: 03/08/2024]
Abstract
Alcohol use disorder (AUD) poses a significant public health challenge. Individuals with AUD engage in chronic and excessive alcohol consumption, leading to cycles of intoxication, withdrawal, and craving behaviors. This review explores the involvement of the cortical amygdala (CoA), a cortical brain region that has primarily been examined in relation to olfactory behavior, in the expression of alcohol dependence and excessive alcohol drinking. While extensive research has identified the involvement of numerous brain regions in AUD, the CoA has emerged as a relatively understudied yet promising candidate for future study. The CoA plays a vital role in rewarding and aversive signaling and olfactory-related behaviors and has recently been shown to be involved in alcohol-dependent drinking in mice. The CoA projects directly to brain regions that are critically important for AUD, such as the central amygdala, bed nucleus of the stria terminalis, and basolateral amygdala. These projections may convey key modulatory signaling that drives excessive alcohol drinking in alcohol-dependent subjects. This review summarizes existing knowledge on the structure and connectivity of the CoA and its potential involvement in AUD. Understanding the contribution of this region to excessive drinking behavior could offer novel insights into the etiology of AUD and potential therapeutic targets.
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Affiliation(s)
- Tiange Xiao
- Department of Basic Medical Sciences, College of Veterinary Medicine, Purdue University, West Lafayette, IN, United States
| | - Alison Roland
- Bowles Center for Alcohol Studies, University of North Carolina School of Medicine, Chapel Hill, NC, United States; Department of Pharmacology, University of North Carolina School of Medicine, Chapel Hill, NC, United States
| | - Yueyi Chen
- Department of Basic Medical Sciences, College of Veterinary Medicine, Purdue University, West Lafayette, IN, United States
| | - Skylar Guffey
- Department of Basic Medical Sciences, College of Veterinary Medicine, Purdue University, West Lafayette, IN, United States
| | - Thomas Kash
- Bowles Center for Alcohol Studies, University of North Carolina School of Medicine, Chapel Hill, NC, United States; Department of Pharmacology, University of North Carolina School of Medicine, Chapel Hill, NC, United States
| | - Adam Kimbrough
- Department of Basic Medical Sciences, College of Veterinary Medicine, Purdue University, West Lafayette, IN, United States; Purdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, United States; Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States; Purdue Institute of Inflammation, Immunology, and Infectious Disease, Purdue University, West Lafayette, IN, United States.
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3
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Williford KM, Taylor A, Melchior JR, Yoon HJ, Sale E, Negasi MD, Adank DN, Brown JA, Bedenbaugh MN, Luchsinger JR, Centanni SW, Patel S, Calipari ES, Simerly RB, Winder DG. BNST PKCδ neurons are activated by specific aversive conditions to promote anxiety-like behavior. Neuropsychopharmacology 2023; 48:1031-1041. [PMID: 36941364 PMCID: PMC10209190 DOI: 10.1038/s41386-023-01569-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 02/13/2023] [Accepted: 03/05/2023] [Indexed: 03/22/2023]
Abstract
The bed nucleus of the stria terminalis (BNST) is a critical mediator of stress responses and anxiety-like behaviors. Neurons expressing protein kinase C delta (BNSTPKCδ) are an abundant but understudied subpopulation implicated in inhibiting feeding, but which have conflicting reports about their role in anxiety-like behaviors. We have previously shown that expression of PKCδ is dynamically regulated by stress and that BNSTPKCδ cells are recruited during bouts of active stress coping. Here, we first show that in vivo activation of this population is mildly aversive. This aversion was insensitive to prior restraint stress exposure. Further investigation revealed that unlike other BNST subpopulations, BNSTPKCδ cells do not exhibit increased cfos expression following restraint stress. Ex vivo current clamp recordings also indicate they are resistant to firing. To elucidate their afferent control, we next used rabies tracing with whole-brain imaging and channelrhodopsin-assisted circuit mapping, finding that BNSTPKCδ cells receive abundant input from affective, arousal, and sensory regions including the basolateral amygdala (BLA) paraventricular thalamus (PVT) and central amygdala PKCδ-expressing cells (CeAPKCδ). Given these findings, we used in vivo optogenetics and fiber photometry to further examine BNSTPKCδ cells in the context of stress and anxiety-like behavior. We found that BNSTPKCδ cell activity is associated with increased anxiety-like behavior in the elevated plus maze, increases following footshock, and unlike other BNST subpopulations, does not desensitize to repeated stress exposure. Taken together, we propose a model in which BNSTPKCδ cells may serve as threat detectors, integrating exteroceptive and interoceptive information to inform stress coping behaviors.
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Affiliation(s)
- Kellie M Williford
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
| | - Anne Taylor
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
| | - James R Melchior
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
- Department of Pharmacology, Vanderbilt University, Nashville, TN, USA
| | - Hye Jean Yoon
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
- Department of Pharmacology, Vanderbilt University, Nashville, TN, USA
| | - Eryn Sale
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
| | - Milen D Negasi
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
| | - Danielle N Adank
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
| | - Jordan A Brown
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
- Department of Pharmacology, Vanderbilt University, Nashville, TN, USA
| | - Michelle N Bedenbaugh
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA
| | - Joseph R Luchsinger
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
| | - Samuel W Centanni
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA
| | - Sachin Patel
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
- Department of Pharmacology, Vanderbilt University, Nashville, TN, USA
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University, Nashville, TN, USA
| | - Erin S Calipari
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
- Department of Pharmacology, Vanderbilt University, Nashville, TN, USA
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University, Nashville, TN, USA
| | - Richard B Simerly
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA
| | - Danny G Winder
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA.
- Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN, USA.
- Department of Pharmacology, Vanderbilt University, Nashville, TN, USA.
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA.
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University, Nashville, TN, USA.
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Danieli K, Guyon A, Bethus I. Episodic Memory formation: A review of complex Hippocampus input pathways. Prog Neuropsychopharmacol Biol Psychiatry 2023; 126:110757. [PMID: 37086812 DOI: 10.1016/j.pnpbp.2023.110757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/08/2023] [Accepted: 03/22/2023] [Indexed: 04/24/2023]
Abstract
Memories of everyday experiences involve the encoding of a rich and dynamic representation of present objects and their contextual features. Traditionally, the resulting mnemonic trace is referred to as Episodic Memory, i.e. the "what", "where" and "when" of a lived episode. The journey for such memory trace encoding begins with the perceptual data of an experienced episode handled in sensory brain regions. The information is then streamed to cortical areas located in the ventral Medio Temporal Lobe, which produces multi-modal representations concerning either the objects (in the Perirhinal cortex) or the spatial and contextual features (in the parahippocampal region) of the episode. Then, this high-level data is gated through the Entorhinal Cortex and forwarded to the Hippocampal Formation, where all the pieces get bound together. Eventually, the resulting encoded neural pattern is relayed back to the Neocortex for a stable consolidation. This review will detail these different stages and provide a systematic overview of the major cortical streams toward the Hippocampus relevant for Episodic Memory encoding.
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Affiliation(s)
| | - Alice Guyon
- Université Cote d'Azur, Neuromod Institute, France; Université Cote d'Azur, CNRS UMR 7275, IPMC, Valbonne, France
| | - Ingrid Bethus
- Université Cote d'Azur, Neuromod Institute, France; Université Cote d'Azur, CNRS UMR 7275, IPMC, Valbonne, France
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5
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Elvira UKA, Seoane S, Janssen J, Janssen N. Contributions of human amygdala nuclei to resting-state networks. PLoS One 2022; 17:e0278962. [PMID: 36576924 PMCID: PMC9797096 DOI: 10.1371/journal.pone.0278962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 11/25/2022] [Indexed: 12/29/2022] Open
Abstract
The amygdala is a brain region with a complex internal structure that is associated with psychiatric disease. Methodological limitations have complicated the study of the internal structure of the amygdala in humans. In the current study we examined the functional connectivity between nine amygdaloid nuclei and existing resting-state networks using a high spatial-resolution fMRI dataset. Using data-driven analysis techniques we found that there were three main clusters inside the amygdala that correlated with the somatomotor, ventral attention and default mode networks. In addition, we found that each resting-state networks depended on a specific configuration of amygdaloid nuclei. Finally, we found that co-activity in the cortical-nucleus increased with the severity of self-rated fear in participants. These results highlight the complex nature of amygdaloid connectivity that is not confined to traditional large-scale divisions, implicates specific configurations of nuclei with certain resting-state networks and highlights the potential clinical relevance of the cortical-nucleus in future studies of the human amygdala.
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Affiliation(s)
- Uriel K. A. Elvira
- Department of Psychology, Universidad de la Laguna, Santa Cruz de Tenerife, Spain
- Institute of Biomedical Technologies, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
- Institute of Neurosciences, Universidad de la Laguna, Santa Cruz de Tenerife, Spain
| | - Sara Seoane
- Department of Psychology, Universidad de la Laguna, Santa Cruz de Tenerife, Spain
- Institute of Biomedical Technologies, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
- Institute of Neurosciences, Universidad de la Laguna, Santa Cruz de Tenerife, Spain
| | - Joost Janssen
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Ciber del Área de Salud Mental, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- Department of Psychiatry, UMCU Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Niels Janssen
- Department of Psychology, Universidad de la Laguna, Santa Cruz de Tenerife, Spain
- Institute of Biomedical Technologies, Universidad de La Laguna, Santa Cruz de Tenerife, Spain
- Institute of Neurosciences, Universidad de la Laguna, Santa Cruz de Tenerife, Spain
- Department of Neurobiology and Behavior, University of California, Irvine, California, United States of America
- * E-mail:
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6
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Morales L, González-Alonso A, Desfilis E, Medina L. Precise Mapping of Otp Expressing Cells Across Different Pallial Regions Throughout Ontogenesis Using Otp-Specific Reporter Transgenic Mice. Front Neural Circuits 2022; 16:831074. [PMID: 35250495 PMCID: PMC8891171 DOI: 10.3389/fncir.2022.831074] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 01/24/2022] [Indexed: 12/14/2022] Open
Abstract
Taking advantage of two Otp-specific reporter lines of transgenic mice (Otp-eGFP and Otp-Cre; Rpl22-HA), we identify and describe different Otp cell populations across various pallial regions, including the pallial amygdala, the piriform cortex, the mesocortex, the neocortex, and the hippocampal complex. Some of these populations can be followed throughout development, suggesting migration from external sources (for example, those of the pallial amygdala and at least some of the cingulate cortex). Other cells become visible during postnatal development (some of those in the neocortex and hippocampal formation) or in adulthood (those of the parahippocampal lobe), and seem to be produced locally. We discuss the possible role of Otp in these different populations during different moments of ontogenesis. We also analyze the connectivity patterns of some of these cells and discuss their functional implications. For example, our data suggest that Otp cells of the pallial amygdala might be engaged in networks with other Otp cells of the medial amygdala with the same embryonic origin, and may regulate specific aspects of social behavior. Regarding Otp cells in the parahippocampal lobe, they seem to be projection neurons and may regulate hippocampal function during spatial navigation and memory formation. The two reporter transgenic mice employed here provide very powerful tools for high precision studies on these different Otp cells of the pallium, but careful attention should be paid to the age and to differences between lines.
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Affiliation(s)
- Lorena Morales
- Departament de Medicina Experimental, Universitat de Lleida, Lleida, Spain
- Laboratory of Evolutionary Developmental Neurobiology, Lleida’s Institute for Biomedical Research Dr. Pifarré Foundation (IRBLleida), Lleida, Spain
| | - Alba González-Alonso
- Departament de Medicina Experimental, Universitat de Lleida, Lleida, Spain
- Laboratory of Evolutionary Developmental Neurobiology, Lleida’s Institute for Biomedical Research Dr. Pifarré Foundation (IRBLleida), Lleida, Spain
| | - Ester Desfilis
- Departament de Medicina Experimental, Universitat de Lleida, Lleida, Spain
- Laboratory of Evolutionary Developmental Neurobiology, Lleida’s Institute for Biomedical Research Dr. Pifarré Foundation (IRBLleida), Lleida, Spain
- Serra Húnter Fellows, Lleida, Spain
| | - Loreta Medina
- Departament de Medicina Experimental, Universitat de Lleida, Lleida, Spain
- Laboratory of Evolutionary Developmental Neurobiology, Lleida’s Institute for Biomedical Research Dr. Pifarré Foundation (IRBLleida), Lleida, Spain
- Serra Húnter Fellows, Lleida, Spain
- *Correspondence: Loreta Medina, ,
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Noto T, Zhou G, Yang Q, Lane G, Zelano C. Human Primary Olfactory Amygdala Subregions Form Distinct Functional Networks, Suggesting Distinct Olfactory Functions. Front Syst Neurosci 2021; 15:752320. [PMID: 34955769 PMCID: PMC8695617 DOI: 10.3389/fnsys.2021.752320] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 11/08/2021] [Indexed: 12/02/2022] Open
Abstract
Three subregions of the amygdala receive monosynaptic projections from the olfactory bulb, making them part of the primary olfactory cortex. These primary olfactory areas are located at the anterior-medial aspect of the amygdala and include the medial amygdala (MeA), cortical amygdala (CoA), and the periamygdaloid complex (PAC). The vast majority of research on the amygdala has focused on the larger basolateral and basomedial subregions, which are known to be involved in implicit learning, threat responses, and emotion. Fewer studies have focused on the MeA, CoA, and PAC, with most conducted in rodents. Therefore, our understanding of the functions of these amygdala subregions is limited, particularly in humans. Here, we first conducted a review of existing literature on the MeA, CoA, and PAC. We then used resting-state fMRI and unbiased k-means clustering techniques to show that the anatomical boundaries of human MeA, CoA, and PAC accurately parcellate based on their whole-brain resting connectivity patterns alone, suggesting that their functional networks are distinct, relative both to each other and to the amygdala subregions that do not receive input from the olfactory bulb. Finally, considering that distinct functional networks are suggestive of distinct functions, we examined the whole-brain resting network of each subregion and speculated on potential roles that each region may play in olfactory processing. Based on these analyses, we speculate that the MeA could potentially be involved in the generation of rapid motor responses to olfactory stimuli (including fight/flight), particularly in approach/avoid contexts. The CoA could potentially be involved in olfactory-related reward processing, including learning and memory of approach/avoid responses. The PAC could potentially be involved in the multisensory integration of olfactory information with other sensory systems. These speculations can be used to form the basis of future studies aimed at clarifying the olfactory functions of these under-studied primary olfactory areas.
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Affiliation(s)
- Torben Noto
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Guangyu Zhou
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Qiaohan Yang
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Gregory Lane
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Christina Zelano
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
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Villafranca-Faus M, Vila-Martín ME, Esteve D, Merino E, Teruel-Sanchis A, Cervera-Ferri A, Martínez-Ricós J, Lloret A, Lanuza E, Teruel-Martí V. Integrating pheromonal and spatial information in the amygdalo-hippocampal network. Nat Commun 2021; 12:5286. [PMID: 34489431 PMCID: PMC8421364 DOI: 10.1038/s41467-021-25442-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 08/10/2021] [Indexed: 11/30/2022] Open
Abstract
Vomeronasal information is critical in mice for territorial behavior. Consequently, learning the territorial spatial structure should incorporate the vomeronasal signals indicating individual identity into the hippocampal cognitive map. In this work we show in mice that navigating a virtual environment induces synchronic activity, with causality in both directionalities, between the vomeronasal amygdala and the dorsal CA1 of the hippocampus in the theta frequency range. The detection of urine stimuli induces synaptic plasticity in the vomeronasal pathway and the dorsal hippocampus, even in animals with experimentally induced anosmia. In the dorsal hippocampus, this plasticity is associated with the overexpression of pAKT and pGSK3β. An amygdalo-entorhino-hippocampal circuit likely underlies this effect of pheromonal information on hippocampal learning. This circuit likely constitutes the neural substrate of territorial behavior in mice, and it allows the integration of social and spatial information.
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Affiliation(s)
- María Villafranca-Faus
- Neuronal Circuits Laboratory, Dept. of Anatomy and Human Embriology, Faculty of Medicine, University de València, Valencia, Spain
| | - Manuel Esteban Vila-Martín
- Neuronal Circuits Laboratory, Dept. of Anatomy and Human Embriology, Faculty of Medicine, University de València, Valencia, Spain
- Laboratori de Neuranatomia Funcional, Dept. de Biologia Cel·lular, Fac. CC. Biològiques, Universitat de València, Valencia, Spain
| | - Daniel Esteve
- Department of Physiology, Faculty of Medicine, University of Valencia, Health Research Institute INCLIVA, CIBERFES, Valencia, Spain
| | - Esteban Merino
- Neuronal Circuits Laboratory, Dept. of Anatomy and Human Embriology, Faculty of Medicine, University de València, Valencia, Spain
| | - Anna Teruel-Sanchis
- Neuronal Circuits Laboratory, Dept. of Anatomy and Human Embriology, Faculty of Medicine, University de València, Valencia, Spain
- Laboratori de Neuranatomia Funcional, Dept. de Biologia Cel·lular, Fac. CC. Biològiques, Universitat de València, Valencia, Spain
| | - Ana Cervera-Ferri
- Neuronal Circuits Laboratory, Dept. of Anatomy and Human Embriology, Faculty of Medicine, University de València, Valencia, Spain
| | - Joana Martínez-Ricós
- Neuronal Circuits Laboratory, Dept. of Anatomy and Human Embriology, Faculty of Medicine, University de València, Valencia, Spain
| | - Ana Lloret
- Department of Physiology, Faculty of Medicine, University of Valencia, Health Research Institute INCLIVA, CIBERFES, Valencia, Spain
| | - Enrique Lanuza
- Neuronal Circuits Laboratory, Dept. of Anatomy and Human Embriology, Faculty of Medicine, University de València, Valencia, Spain.
- Laboratori de Neuranatomia Funcional, Dept. de Biologia Cel·lular, Fac. CC. Biològiques, Universitat de València, Valencia, Spain.
| | - Vicent Teruel-Martí
- Neuronal Circuits Laboratory, Dept. of Anatomy and Human Embriology, Faculty of Medicine, University de València, Valencia, Spain.
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Mareckova K, Marecek R, Andryskova L, Brazdil M, Nikolova YS. Impact of prenatal stress on amygdala anatomy in young adulthood: Timing and location matter. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 7:231-238. [PMID: 34358683 DOI: 10.1016/j.bpsc.2021.07.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 07/15/2021] [Accepted: 07/20/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND Exposure to maternal stress in utero has long-term implications for the developing brain and has been linked with a higher risk of depression. The amygdala, which develops during the early embryonic stage and is critical for emotion processing, might be particularly sensitive. METHODS Using data from a neuroimaging follow-up of the ELSPAC prenatal birth cohort (n=129, 47% men, 23-24 years old), we studied the impact of prenatal stress during the first and second half of pregnancy on the volume of the amygdala and its nuclei in young adult offspring. We further evaluated the relationship between amygdala anatomy and offspring depressive symptomatology. Amygdala nuclei were parcellated using FreeSurfer's automated segmentation pipeline. Depressive symptoms were measured via self-report using the Beck Depression Inventory (BDI). RESULTS Exposure to stress during the first half of pregnancy was associated with smaller accessory basal (Cohen's f2=0.27, p(FDR)=0.03) and cortical (Cohen's f2=0.29, p(FDR)=0.03) nuclei volumes. This effect remained significant after correcting for sex, stress during the second half of pregnancy, as well as maternal age at birth, birth weight, maternal education, and offspring's age at MRI. These two nuclei showed a quadratic relationship with BDI scores in young adulthood, where both smaller and larger volume was associated with more depressive symptoms (Accessory basal nucleus: Adj R2=0.05. p(FDR)=0.015; Cortical nucleus: Adj R2=0.04, p(FDR)=0.015). CONCLUSIONS We conclude that exposure to stress during the first half of pregnancy might have long-term implications for amygdala anatomy, which may in turn predict the experience of depressive symptoms in young adulthood.
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Affiliation(s)
- Klara Mareckova
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Brain and Mind Research, Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
| | - Radek Marecek
- Brain and Mind Research, Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Lenka Andryskova
- RECETOX, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Milan Brazdil
- Brain and Mind Research, Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Yuliya S Nikolova
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.
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10
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Morikawa S, Katori K, Takeuchi H, Ikegaya Y. Brain-wide mapping of presynaptic inputs to basolateral amygdala neurons. J Comp Neurol 2021; 529:3062-3075. [PMID: 33797073 DOI: 10.1002/cne.25149] [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: 06/22/2020] [Revised: 03/09/2021] [Accepted: 03/21/2021] [Indexed: 11/11/2022]
Abstract
The basolateral amygdala (BLA), a region critical for emotional processing, is the limbic hub that is connected with various brain regions. BLA neurons are classified into different subtypes that exhibit differential projection patterns and mediate distinct emotional behaviors; however, little is known about their presynaptic input patterns. In this study, we employed projection-specific monosynaptic rabies virus tracing to identify the direct monosynaptic inputs to BLA subtypes. We found that each neuronal subtype receives long-range projection input from specific brain regions. In contrast to their specific axonal projection patterns, all BLA neuronal subtypes exhibited relatively similar input patterns. This anatomical organization supports the idea that the BLA is a central integrator that associates sensory information in different modalities with valence and sends associative information to behaviorally relevant brain regions.
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Affiliation(s)
- Shota Morikawa
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan
| | - Kazuki Katori
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan
| | - Haruki Takeuchi
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.,Social Cooperation Program of Evolutional Chemical Safety Assessment System, LECSAS, Graduate School of Pharmaceutical Sciences, University of Tokyo, Tokyo, Japan
| | - Yuji Ikegaya
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.,Center for Information and Neural Networks, National Institute of Information and Communications Technology, Suita, Osaka, Japan.,Institute for AI and Beyond, The University of Tokyo, Tokyo, Japan
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11
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Seguin D, Pac S, Wang J, Nicolson R, Martinez-Trujillo J, Duerden EG. Amygdala subnuclei development in adolescents with autism spectrum disorder: Association with social communication and repetitive behaviors. Brain Behav 2021; 11:e2299. [PMID: 34333868 PMCID: PMC8413788 DOI: 10.1002/brb3.2299] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 06/10/2021] [Accepted: 07/09/2021] [Indexed: 12/16/2022] Open
Abstract
INTRODUCTION The amygdala subnuclei regulate emotional processing and are widely implicated in social cognitive impairments often seen in children with autism spectrum disorder (ASD). Dysregulated amygdala development has been reported in young children with ASD; less is known about amygdala maturation in later adolescence, a sensitive window for social skill development. METHODS The macrostructural development of the amygdala subnuclei was assessed at two time points in a longitudinal magnetic resonance imaging (MRI) study of adolescents with ASD (n = 23) and typically-developing adolescents (n = 15) . In adolescents with ASD, amygdala subnuclei growth was assessed in relation to ASD symptomatology based on standardized diagnostic assessments. Participants were scanned with MRI at median age of 12 years and returned for a second scan at a median age of 15 years. The volumes of nine amygdala subnuclei were extracted using an automatic segmentation algorithm. RESULTS When examining the longitudinal data acquired across two time points, adolescents with ASD had larger basolateral amygdala (BLA) nuclei volumes compared to typically developing adolescents (B = 46.8, p = 0.04). When examining ASD symptomatology in relation to the growth of the amygdala subnuclei, reciprocal social interaction scores on the ADI-R were positively associated with increased growth of the BLA nuclei (B = 8.3, p < 0.001). Growth in the medial nucleus negatively predicted the communication (B = -46.9, p = 0.02) and social (B = -47.7, p < 0.001) domains on the ADOS-G. Growth in the right cortical nucleus (B = 26.14, p = 0.02) positively predicted ADOS-G social scores. Central nucleus maturation (B = 29.9, p = 0.02) was associated with the repetitive behaviors domain on the ADOS-G. CONCLUSIONS Larger BLA volumes in adolescents with ASD may reflect underlying alterations in cellular density previously reported in post-mortem studies. Furthermore, findings demonstrate an association between regional growth in amygdala subnuclei volumes and ASD symptomatology. Improved understanding of the developmental trajectories of the amygdala subnuclei may aid in identifying key windows for interventions, particularly for social communication, in adolescents with ASD.
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Affiliation(s)
- Diane Seguin
- Physiology and Pharmacology, Schulich School of Medicine and Dentistry, Western University, London, Canada
| | - Sara Pac
- Neuroscience, Schulich School of Medicine and Dentistry, Western University, London, Canada
| | - Jianan Wang
- Biomedical Engineering, Faculty of Engineering, Western University, London, Canada
| | - Rob Nicolson
- Psychiatry, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada
| | - Julio Martinez-Trujillo
- Physiology and Pharmacology, Schulich School of Medicine and Dentistry, Western University, London, Canada
| | - Emma G Duerden
- Neuroscience, Schulich School of Medicine and Dentistry, Western University, London, Canada.,Psychiatry, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada.,Applied Psychology, Faculty of Education, Western University, London, Canada
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12
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Ndode-Ekane XE, Puigferrat Pérez MDM, Di Sapia R, Lapinlampi N, Pitkänen A. Reorganization of Thalamic Inputs to Lesioned Cortex Following Experimental Traumatic Brain Injury. Int J Mol Sci 2021; 22:6329. [PMID: 34199241 PMCID: PMC8231773 DOI: 10.3390/ijms22126329] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 05/27/2021] [Accepted: 06/10/2021] [Indexed: 11/17/2022] Open
Abstract
Traumatic brain injury (TBI) disrupts thalamic and cortical integrity. The effect of post-injury reorganization and plasticity in thalamocortical pathways on the functional outcome remains unclear. We evaluated whether TBI causes structural changes in the thalamocortical axonal projection terminals in the primary somatosensory cortex (S1) that lead to hyperexcitability. TBI was induced in adult male Sprague Dawley rats with lateral fluid-percussion injury. A virus carrying the fluorescent-tagged opsin channel rhodopsin 2 transgene was injected into the ventroposterior thalamus. We then traced the thalamocortical pathways and analyzed the reorganization of their axonal terminals in S1. Next, we optogenetically stimulated the thalamocortical relays from the ventral posterior lateral and medial nuclei to assess the post-TBI functionality of the pathway. Immunohistochemical analysis revealed that TBI did not alter the spatial distribution or lamina-specific targeting of projection terminals in S1. TBI reduced the axon terminal density in the motor cortex by 44% and in S1 by 30%. A nematic tensor-based analysis revealed that in control rats, the axon terminals in layer V were orientated perpendicular to the pial surface (60.3°). In TBI rats their orientation was more parallel to the pial surface (5.43°, difference between the groups p < 0.05). Moreover, the level of anisotropy of the axon terminals was high in controls (0.063) compared with TBI rats (0.045, p < 0.05). Optical stimulation of the sensory thalamus increased alpha activity in electroencephalography by 312% in controls (p > 0.05) and 237% (p > 0.05) in TBI rats compared with the baseline. However, only TBI rats showed increased beta activity (33%) with harmonics at 5 Hz. Our findings indicate that TBI induces reorganization of thalamocortical axonal terminals in the perilesional cortex, which alters responses to thalamic stimulation.
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Affiliation(s)
- Xavier Ekolle Ndode-Ekane
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, FI-70211 Kuopio, Finland; (M.d.M.P.P.); (R.D.S.); (N.L.); (A.P.)
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13
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Imaging of Functional Brain Circuits during Acquisition and Memory Retrieval in an Aversive Feedback Learning Task: Single Photon Emission Computed Tomography of Regional Cerebral Blood Flow in Freely Behaving Rats. Brain Sci 2021; 11:brainsci11050659. [PMID: 34070079 PMCID: PMC8158148 DOI: 10.3390/brainsci11050659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 05/05/2021] [Accepted: 05/08/2021] [Indexed: 11/30/2022] Open
Abstract
Active avoidance learning is a complex form of aversive feedback learning that in humans and other animals is essential for actively coping with unpleasant, aversive, or dangerous situations. Since the functional circuits involved in two-way avoidance (TWA) learning have not yet been entirely identified, the aim of this study was to obtain an overall picture of the brain circuits that are involved in active avoidance learning. In order to obtain a longitudinal assessment of activation patterns in the brain of freely behaving rats during different stages of learning, we applied single-photon emission computed tomography (SPECT). We were able to identify distinct prefrontal cortical, sensory, and limbic circuits that were specifically recruited during the acquisition and retrieval phases of the two-way avoidance learning task.
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14
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Weiss A, Di Carlo DT, Di Russo P, Weiss F, Castagna M, Cosottini M, Perrini P. Microsurgical anatomy of the amygdaloid body and its connections. Brain Struct Funct 2021; 226:861-874. [PMID: 33528620 DOI: 10.1007/s00429-020-02214-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 12/30/2020] [Indexed: 12/14/2022]
Abstract
The amygdaloid body is a limbic nuclear complex characterized by connections with the thalamus, the brainstem and the neocortex. The recent advances in functional neurosurgery regarding the treatment of refractory epilepsy and several neuropsychiatric disorders renewed the interest in the study of its functional Neuroanatomy. In this scenario, we felt that a morphological study focused on the amygdaloid body and its connections could improve the understanding of the possible implications in functional neurosurgery. With this purpose we performed a morfological study using nine formalin-fixed human hemispheres dissected under microscopic magnification by using the fiber dissection technique originally described by Klingler. In our results the amygdaloid body presents two divergent projection systems named dorsal and ventral amygdalofugal pathways connecting the nuclear complex with the septum and the hypothalamus. Furthermore, the amygdaloid body is connected with the hippocampus through the amygdalo-hippocampal bundle, with the anterolateral temporal cortex through the amygdalo-temporalis fascicle, the anterior commissure and the temporo-pulvinar bundle of Arnold, with the insular cortex through the lateral olfactory stria, with the ambiens gyrus, the para-hippocampal gyrus and the basal forebrain through the cingulum, and with the frontal cortex through the uncinate fascicle. Finally, the amygdaloid body is connected with the brainstem through the medial forebrain bundle. Our description of the topographic anatomy of the amygdaloid body and its connections, hopefully represents a useful tool for clinicians and scientists, both in the scope of application and speculation.
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Affiliation(s)
- Alessandro Weiss
- Department of Translational Research On New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy. .,, Pisa, Italy.
| | - Davide Tiziano Di Carlo
- Department of Translational Research On New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Paolo Di Russo
- Department of Translational Research On New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Francesco Weiss
- Department of Translational Research On New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Maura Castagna
- Department of Translational Research On New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Mirco Cosottini
- Department of Translational Research On New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Paolo Perrini
- Department of Translational Research On New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
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15
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Fateh AA, Cui Q, Duan X, Yang Y, Chen Y, Li D, He Z, Chen H. Disrupted dynamic functional connectivity in right amygdalar subregions differentiates bipolar disorder from major depressive disorder. Psychiatry Res Neuroimaging 2020; 304:111149. [PMID: 32738725 DOI: 10.1016/j.pscychresns.2020.111149] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 06/18/2020] [Accepted: 06/25/2020] [Indexed: 12/12/2022]
Abstract
Notwithstanding being the object of a growing field of clinical research, the investigation of the dynamic resting-state functional connectivity alterations in psychiatric illnesses is still in its early days. Current research on major depressive disorder (MDD) and bipolar disorder (BD) has evidenced abnormal resting-state functional connectivity (rsFC), especially in regions subserving emotional processing and regulation such as the amygdala. However, dynamic changes in functional connectivity within the amygdalar subregions in distinguishing BD and MDD has not yet been fully understood. In this paper, we aim at analyzing the patterns characterizing dynamic FC (dFC) in the right amygdala to investigate the differences between similarly depressed BD and MDD. A number of 40 BD patients, 61 MDD patients and 63 healthy controls (HCs) underwent functional magnetic resonance imaging (fMRI) at rest. Using the right-amygdala as seed region, we compared the dFC within three subdivisions, namely, laterobasal (LB), centromedial (CM) and superficial (SF) between all the groups. To do so, one-way ANOVA followed by post-hoc t-tests were employed. Compared to HCs, patients with BD had a decreased dFC between right LB and the left postcentral gyrus as well as an increased dFC between right CM and the right cerebellum.Compared to BD patients, patients with MDD showed a decreased dFC between right CM and the cerebellum and an increased dFC between right LB and the left postcentral gyrus. These findings present initial evidence that abnormal patterns of the right-amygdalar subregions shared by BD and MDD supports the differential pathophysiology of these disorders.
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Affiliation(s)
- Ahmed Ameen Fateh
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Qian Cui
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, China.
| | - Xujun Duan
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yang Yang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuyan Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Di Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Zongling He
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Huafu Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
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16
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Inubushi T, Ito M, Mori Y, Futatsubashi M, Sato K, Ito S, Yokokura M, Shinke T, Kameno Y, Kakimoto A, Kanno T, Okada H, Ouchi Y, Yoshikawa E. Neural correlates of head restraint: Unsolicited neuronal activation and dopamine release. Neuroimage 2020; 224:117434. [PMID: 33039616 DOI: 10.1016/j.neuroimage.2020.117434] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 09/01/2020] [Accepted: 10/03/2020] [Indexed: 11/29/2022] Open
Abstract
To minimize motion-related distortion of reconstructed images, conventional positron emission tomography (PET) measurements of the brain inevitably require a firm and tight head restraint. While such a restraint is now a routine procedure in brain imaging, the physiological and psychological consequences resulting from the restraint have not been elucidated. To address this problem, we developed a restraint-free brain PET system and conducted PET scans under both restrained and non-restrained conditions. We examined whether head restraint during PET scans could alter brain activities such as regional cerebral blood flow (rCBF) and dopamine release along with psychological stress related to head restraint. Under both conditions, 20 healthy male participants underwent [15O]H2O and [11C]Raclopride PET scans during working memory tasks with the same PET system. Before, during, and after each PET scan, we measured physiological and psychological stress responses, including the State-Trait Anxiety Inventory (STAI) scores. Analysis of the [15O]H2O-PET data revealed higher rCBF in regions such as the parahippocampus in the restrained condition. We found the binding potential (BPND) of [11C]Raclopride in the putamen was significantly reduced in the restrained condition, which reflects an increase in dopamine release. Moreover, the restraint-induced change in BPND was correlated with a shift in the state anxiety score of the STAI, indicating that less anxiety accompanied smaller dopamine release. These results suggest that the stress from head restraint could cause unsolicited responses in brain physiology and emotional states. The restraint-free imaging system may thus be a key enabling technology for the natural depiction of the mind.
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Affiliation(s)
- Tomoo Inubushi
- Central Research Laboratory, Hamamatsu Photonics KK, Shizuoka 434-8601, Japan
| | - Masanori Ito
- Global Strategic Challenge Center, Hamamatsu Photonics KK, Shizuoka 434-8601, Japan
| | - Yutaro Mori
- Department of Biofunctional Imaging, Hamamatsu University School of Medicine, 1-20-1, Handayama, Higashi-Ku, Hamamatsu, Shizuoka 431-3192, Japan
| | - Masami Futatsubashi
- Global Strategic Challenge Center, Hamamatsu Photonics KK, Shizuoka 434-8601, Japan
| | - Kengo Sato
- Central Research Laboratory, Hamamatsu Photonics KK, Shizuoka 434-8601, Japan
| | - Shigeru Ito
- Global Strategic Challenge Center, Hamamatsu Photonics KK, Shizuoka 434-8601, Japan
| | - Masamichi Yokokura
- Department of Psychiatry, Hamamatsu University School of Medicine, Shizuoka 431-3192, Japan
| | - Tomomi Shinke
- Global Strategic Challenge Center, Hamamatsu Photonics KK, Shizuoka 434-8601, Japan
| | - Yosuke Kameno
- Department of Psychiatry, Hamamatsu University School of Medicine, Shizuoka 431-3192, Japan
| | - Akihiro Kakimoto
- Department of Biofunctional Imaging, Hamamatsu University School of Medicine, 1-20-1, Handayama, Higashi-Ku, Hamamatsu, Shizuoka 431-3192, Japan; Hamamatsu Medical Imaging Center, Hamamatsu Medical Photonics Foundation, Shizuoka 434-0041, Japan
| | - Toshihiko Kanno
- Department of Radiological Sciences, Morinomiya University of Medical Sciences, Osaka 559-8611, Japan
| | - Hiroyuki Okada
- Global Strategic Challenge Center, Hamamatsu Photonics KK, Shizuoka 434-8601, Japan; Department of Radiological Sciences, Morinomiya University of Medical Sciences, Osaka 559-8611, Japan
| | - Yasuomi Ouchi
- Department of Biofunctional Imaging, Hamamatsu University School of Medicine, 1-20-1, Handayama, Higashi-Ku, Hamamatsu, Shizuoka 431-3192, Japan; Hamamatsu Medical Imaging Center, Hamamatsu Medical Photonics Foundation, Shizuoka 434-0041, Japan.
| | - Etsuji Yoshikawa
- Central Research Laboratory, Hamamatsu Photonics KK, Shizuoka 434-8601, Japan; Department of Biofunctional Imaging, Hamamatsu University School of Medicine, 1-20-1, Handayama, Higashi-Ku, Hamamatsu, Shizuoka 431-3192, Japan
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17
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Chipika RH, Christidi F, Finegan E, Li Hi Shing S, McKenna MC, Chang KM, Karavasilis E, Doherty MA, Hengeveld JC, Vajda A, Pender N, Hutchinson S, Donaghy C, McLaughlin RL, Hardiman O, Bede P. Amygdala pathology in amyotrophic lateral sclerosis and primary lateral sclerosis. J Neurol Sci 2020; 417:117039. [PMID: 32713609 DOI: 10.1016/j.jns.2020.117039] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 06/19/2020] [Accepted: 07/13/2020] [Indexed: 12/26/2022]
Abstract
Temporal lobe studies in motor neuron disease overwhelmingly focus on white matter alterations and cortical grey matter atrophy. Reports on amygdala involvement are conflicting and the amygdala is typically evaluated as single structure despite consisting of several functionally and cytologically distinct nuclei. A prospective, single-centre, neuroimaging study was undertaken to comprehensively characterise amygdala pathology in 100 genetically-stratified ALS patients, 33 patients with PLS and 117 healthy controls. The amygdala was segmented into groups of nuclei using a Bayesian parcellation algorithm based on a probabilistic atlas and shape deformations were additionally assessed by vertex analyses. The accessory basal nucleus (p = .021) and the cortical nucleus (p = .022) showed significant volume reductions in C9orf72 negative ALS patients compared to controls. The lateral nucleus (p = .043) and the cortico-amygdaloid transition (p = .024) were preferentially affected in C9orf72 hexanucleotide carriers. A trend of total volume reduction was identified in C9orf72 positive ALS patients (p = .055) which was also captured in inferior-medial shape deformations on vertex analyses. Our findings highlight that the amygdala is affected in ALS and our study demonstrates the selective involvement of specific nuclei as opposed to global atrophy. The genotype-specific patterns of amygdala involvement identified by this study are consistent with the growing literature of extra-motor clinical features. Mesial temporal lobe pathology in ALS is not limited to hippocampal pathology but, as a key hub of the limbic system, the amygdala is also affected in ALS.
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Affiliation(s)
- Rangariroyashe H Chipika
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Foteini Christidi
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland; Department of Neurology, Aeginition Hospital, University of Athens, Greece
| | - Eoin Finegan
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Stacey Li Hi Shing
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Mary Clare McKenna
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Kai Ming Chang
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland; Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, United Kingdom
| | - Efstratios Karavasilis
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland; 2nd Department of Radiology, Attikon University Hospital, University of Athens, Athens, Greece
| | - Mark A Doherty
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Jennifer C Hengeveld
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Alice Vajda
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Niall Pender
- Department of psychology, Beaumont Hospital Dublin, Ireland
| | - Siobhan Hutchinson
- Department of Neurology, St James's Hospital, James's St, Ushers, Dublin 8 D08 NHY1, Ireland
| | - Colette Donaghy
- Department of Neurology, Belfast, Western Health & Social Care Trust, UK
| | - Russell L McLaughlin
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Orla Hardiman
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, 152-160 Pearse Street, Dublin 2, Ireland.
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18
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Quattrini G, Pievani M, Jovicich J, Aiello M, Bargalló N, Barkhof F, Bartres-Faz D, Beltramello A, Pizzini FB, Blin O, Bordet R, Caulo M, Constantinides M, Didic M, Drevelegas A, Ferretti A, Fiedler U, Floridi P, Gros-Dagnac H, Hensch T, Hoffmann KT, Kuijer JP, Lopes R, Marra C, Müller BW, Nobili F, Parnetti L, Payoux P, Picco A, Ranjeva JP, Roccatagliata L, Rossini PM, Salvatore M, Schonknecht P, Schott BH, Sein J, Soricelli A, Tarducci R, Tsolaki M, Visser PJ, Wiltfang J, Richardson JC, Frisoni GB, Marizzoni M. Amygdalar nuclei and hippocampal subfields on MRI: Test-retest reliability of automated volumetry across different MRI sites and vendors. Neuroimage 2020; 218:116932. [PMID: 32416226 DOI: 10.1016/j.neuroimage.2020.116932] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 05/05/2020] [Accepted: 05/07/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The amygdala and the hippocampus are two limbic structures that play a critical role in cognition and behavior, however their manual segmentation and that of their smaller nuclei/subfields in multicenter datasets is time consuming and difficult due to the low contrast of standard MRI. Here, we assessed the reliability of the automated segmentation of amygdalar nuclei and hippocampal subfields across sites and vendors using FreeSurfer in two independent cohorts of older and younger healthy adults. METHODS Sixty-five healthy older (cohort 1) and 68 younger subjects (cohort 2), from the PharmaCog and CoRR consortia, underwent repeated 3D-T1 MRI (interval 1-90 days). Segmentation was performed using FreeSurfer v6.0. Reliability was assessed using volume reproducibility error (ε) and spatial overlapping coefficient (DICE) between test and retest session. RESULTS Significant MRI site and vendor effects (p < .05) were found in a few subfields/nuclei for the ε, while extensive effects were found for the DICE score of most subfields/nuclei. Reliability was strongly influenced by volume, as ε correlated negatively and DICE correlated positively with volume size of structures (absolute value of Spearman's r correlations >0.43, p < 1.39E-36). In particular, volumes larger than 200 mm3 (for amygdalar nuclei) and 300 mm3 (for hippocampal subfields, except for molecular layer) had the best test-retest reproducibility (ε < 5% and DICE > 0.80). CONCLUSION Our results support the use of volumetric measures of larger amygdalar nuclei and hippocampal subfields in multisite MRI studies. These measures could be useful for disease tracking and assessment of efficacy in drug trials.
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Affiliation(s)
- Giulia Quattrini
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
| | - Michela Pievani
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Jorge Jovicich
- Center for Mind Brain Sciences, University of Trento, Trento, Italy
| | | | - Núria Bargalló
- Department of Neuroradiology and Image Research Platform, Hospital Clínic de Barcelona, IDIBAPS, Barcelona, Spain
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands; Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, UK
| | - David Bartres-Faz
- Department of Medicine and Health Sciences, Faculty of Medicine, Universitat de Barcelona and IDIBAPS, Barcelona, Spain
| | - Alberto Beltramello
- Department of Radiology, IRCCS "Sacro Cuore-Don Calabria", Negrar, Verona, Italy
| | - Francesca B Pizzini
- Radiology, Department of Diagnostic and Public Health, University of Verona, Verona, Italy
| | - Olivier Blin
- Aix-Marseille University, UMR-INSERM 1106, Service de Pharmacologie Clinique, APHM, Marseille, France
| | - Regis Bordet
- Aix-Marseille Université, INSERM U 1106, 13005, Marseille, France
| | | | | | - Mira Didic
- Aix-Marseille Université, Inserm, Institut de Neurosciences des Systèmes (INS) UMR_S 1106, 13005, Marseille, France; APHM, Timone, Service de Neurologie et Neuropsychologie, Hôpital Timone Adultes, Marseille, France
| | | | | | - Ute Fiedler
- Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Piero Floridi
- Perugia General Hospital, Neuroradiology Unit, Perugia, Italy
| | - Hélène Gros-Dagnac
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France
| | - Tilman Hensch
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
| | | | - Joost P Kuijer
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
| | - Renaud Lopes
- INSERM U1171, Neuroradiology Department, University Hospital, Lille, France
| | - Camillo Marra
- Catholic University, Fondazione Policlinico A. Gemelli, IRCCS, Rome, Italy
| | - Bernhard W Müller
- LVR-Hospital Essen, Department for Psychiatry and Psychotherapy, Faculty of Medicine, University of Duisburg-Essen, Germany
| | - Flavio Nobili
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy; IRCCS, Ospedale Policlinico San Martino, Genova, Italy
| | - Lucilla Parnetti
- Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Pierre Payoux
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France
| | - Agnese Picco
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
| | | | - Luca Roccatagliata
- IRCCS, Ospedale Policlinico San Martino, Genova, Italy; Department of Health Science (DISSAL), University of Genoa, Genoa, Italy
| | - Paolo M Rossini
- Dept. Neuroscience & Rehabilitation, IRCCS San Raffaele-Pisana, Rome, Italy
| | | | - Peter Schonknecht
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
| | - Björn H Schott
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Göttingen, Germany; Leibniz Institute for Neurobiology, Magdeburg, Germany; German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
| | - Julien Sein
- CRMBM-CEMEREM, UMR 7339, Aix-Marseille University, CNRS, Marseille, France
| | | | | | - Magda Tsolaki
- Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Pieter J Visser
- Department of Neurology, Alzheimer Centre, VU Medical Centre, Amsterdam, Netherlands; Maastricht University, Maastricht, Netherlands
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Göttingen, Germany; Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal; German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
| | - Jill C Richardson
- Neurosciences Therapeutic Area, GlaxoSmithKline R&D, Gunnels Wood Road, Stevenage, United Kingdom
| | - Giovanni B Frisoni
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; Memory Clinic and LANVIE-Laboratory of Neuroimaging of Aging, Hospitals and University of Geneva, Geneva, Switzerland
| | - Moira Marizzoni
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
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Abstract
Axons from the olfactory bulb (OB) project to multiple central structures of the brain, many of which, in turn, send axons back into the OB and/or to one another. These secondary sensory regions underlie many aspects of odor representation, valence, and learning, as well as serving some nonolfactory functions, though many details remain unclear. We here describe the connectivity and essential structural and functional properties of these postbulbar olfactory regions in the mammalian brain.
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Affiliation(s)
- Thomas A Cleland
- Department of Psychology, Cornell University, Ithaca, NY, United States.
| | - Christiane Linster
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, United States
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20
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Ruiz-Rizzo AL, Beissner F, Finke K, Müller HJ, Zimmer C, Pasquini L, Sorg C. Human subsystems of medial temporal lobes extend locally to amygdala nuclei and globally to an allostatic-interoceptive system. Neuroimage 2020; 207:116404. [DOI: 10.1016/j.neuroimage.2019.116404] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 11/25/2019] [Indexed: 01/23/2023] Open
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Klumpp H, Fitzgerald JM. Neuroimaging Predictors and Mechanisms of Treatment Response in Social Anxiety Disorder: an Overview of the Amygdala. Curr Psychiatry Rep 2018; 20:89. [PMID: 30155657 PMCID: PMC9278878 DOI: 10.1007/s11920-018-0948-1] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
PURPOSE OF REVIEW Aberrant amygdala activity is implicated in the neurobiology of social anxiety disorder (SAD) and is, therefore, a treatment target. However, the extent to which amygdala predicts clinical improvement or is impacted by treatment has not been critically examined. This review highlights recent neuroimaging findings from clinical trials and research that test links between amygdala and mechanisms of action. RECENT FINDINGS Neuropredictor studies largely comprised psychotherapy where improvement was foretold by amygdala activity and regions beyond amygdala such as frontal structures (e.g., anterior cingulate cortex, medial prefrontal cortex) and areas involved in visual processes (e.g., occipital regions, superior temporal gyrus). Pre-treatment functional connectivity between amygdala and frontal areas was also shown to predict improvement signifying circuits that support emotion processing and regulation interact with treatment. Pre-to-post studies revealed decreases in amygdala response and altered functional connectivity in amygdala pathways regardless of treatment modality. In analogue studies of fear exposure, greater reduction in anxiety was predicted by less amygdala response to a speech challenge and amygdala activity decreased following exposures. Yet, studies have also failed to detect amygdala effects reporting instead treatment-related changes in regions and functional systems that support sensory, emotion, and regulation processes. An array of regions in the corticolimbic subcircuits and extrastriate cortex appear to be viable sites of action. The amygdala and amygdala pathways predict treatment outcome and are altered following treatment. However, further study is needed to establish the role of the amygdala and other candidate regions and brain circuits as sites of action.
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Affiliation(s)
- Heide Klumpp
- Departments of Psychiatry and Psychology, University of Illinois at Chicago, 1747 W. Roosevelt Rd, Chicago, IL, 60608, USA.
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22
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Zhang X, Cheng H, Zuo Z, Zhou K, Cong F, Wang B, Zhuo Y, Chen L, Xue R, Fan Y. Individualized Functional Parcellation of the Human Amygdala Using a Semi-supervised Clustering Method: A 7T Resting State fMRI Study. Front Neurosci 2018; 12:270. [PMID: 29755313 PMCID: PMC5932177 DOI: 10.3389/fnins.2018.00270] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2018] [Accepted: 04/09/2018] [Indexed: 01/08/2023] Open
Abstract
The amygdala plays an important role in emotional functions and its dysfunction is considered to be associated with multiple psychiatric disorders in humans. Cytoarchitectonic mapping has demonstrated that the human amygdala complex comprises several subregions. However, it's difficult to delineate boundaries of these subregions in vivo even if using state of the art high resolution structural MRI. Previous attempts to parcellate this small structure using unsupervised clustering methods based on resting state fMRI data suffered from the low spatial resolution of typical fMRI data, and it remains challenging for the unsupervised methods to define subregions of the amygdala in vivo. In this study, we developed a novel brain parcellation method to segment the human amygdala into spatially contiguous subregions based on 7T high resolution fMRI data. The parcellation was implemented using a semi-supervised spectral clustering (SSC) algorithm at an individual subject level. Under guidance of prior information derived from the Julich cytoarchitectonic atlas, our method clustered voxels of the amygdala into subregions according to similarity measures of their functional signals. As a result, three distinct amygdala subregions can be obtained in each hemisphere for every individual subject. Compared with the cytoarchitectonic atlas, our method achieved better performance in terms of subregional functional homogeneity. Validation experiments have also demonstrated that the amygdala subregions obtained by our method have distinctive, lateralized functional connectivity (FC) patterns. Our study has demonstrated that the semi-supervised brain parcellation method is a powerful tool for exploring amygdala subregional functions.
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Affiliation(s)
- Xianchang Zhang
- State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Hewei Cheng
- Department of Biomedical Engineering, School of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Zhentao Zuo
- State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Ke Zhou
- College of Psychology and Sociology, Shenzhen University, Shenzhen, China.,Center for Language and Brain, Shenzhen Institute of Neuroscience, Shenzhen, China.,Shenzhen Key Laboratory of Affective and Social Cognitive Science, Shenzhen University, Shenzhen, China
| | - Fei Cong
- State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Bo Wang
- State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Yan Zhuo
- State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Lin Chen
- State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.,Beijing Institute for Brain Disorders, Beijing, China
| | - Rong Xue
- State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.,Beijing Institute for Brain Disorders, Beijing, China
| | - Yong Fan
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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23
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Qiu L, Xia M, Cheng B, Yuan L, Kuang W, Bi F, Ai H, Gu Z, Lui S, Huang X, He Y, Gong Q. Abnormal dynamic functional connectivity of amygdalar subregions in untreated patients with first-episode major depressive disorder. J Psychiatry Neurosci 2018; 43:170112. [PMID: 29634476 PMCID: PMC6019355 DOI: 10.1503/jpn.170112] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Revised: 09/20/2017] [Accepted: 11/17/2017] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Accumulating evidence supports the concept of the amygdala as a complex of structurally and functionally heterogeneous nuclei rather than as a single homogeneous structure. However, changes in resting-state functional connectivity in amygdalar subregions have not been investigated in major depressive disorder (MDD). Here, we explored whether amygdalar subregions - including the laterobasal, centromedial (CM) and superficial (SF) areas - exhibited distinct disruption patterns for different dynamic functional connectivity (dFC) properties, and whether these different properties were correlated with clinical information in patients with MDD. METHODS Thirty untreated patients with first-episode MDD and 62 matched controls were included. We assessed between-group differences in the mean strength of dFC in each amygdalar subregion in the whole brain using general linear model analysis. RESULTS The patients with MDD showed decreased strength in positive dFC between the left CM/SF and brainstem and between the left SF and left thalamus; they showed decreased strength in negative dFC between the left CM and right superior frontal gyrus (p < 0.05, family-wise error-corrected). We found significant positive correlations between age at onset and the mean positive strength of dFC in the left CM/brainstem in patients with MDD. LIMITATIONS The definitions of amygdalar subregions were based on a cytoarchitectonic delineation, and the temporal resolution of the fMRI was slow (repetition time = 2 s). CONCLUSION These findings confirm the distinct dynamic functional pathway of amygdalar subregions in MDD and suggest that the limbic-cortical-striato-pallido-thalamic circuitry plays a crucial role in the early stages of MDD.
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Affiliation(s)
- Lihua Qiu
- From the Huaxi MR Research Centre (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Qiu, Chen, Lui, Huang, Gong); the Department of Radiology, The Second People's Hospital of Yibin, Yibin, China (Qiu); the National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China (Xia, Yuan, He); the Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China (Xia, He); the IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Xia, He); the Department of Psychiatry, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Kuang); the Department of Oncology, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Bi); the National Engineering Research Centre for Biomaterials, Sichuan University, Chengdu, Sichuan, China (Ai, Gu)
| | - Mingrui Xia
- From the Huaxi MR Research Centre (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Qiu, Chen, Lui, Huang, Gong); the Department of Radiology, The Second People's Hospital of Yibin, Yibin, China (Qiu); the National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China (Xia, Yuan, He); the Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China (Xia, He); the IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Xia, He); the Department of Psychiatry, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Kuang); the Department of Oncology, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Bi); the National Engineering Research Centre for Biomaterials, Sichuan University, Chengdu, Sichuan, China (Ai, Gu)
| | - Bochao Cheng
- From the Huaxi MR Research Centre (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Qiu, Chen, Lui, Huang, Gong); the Department of Radiology, The Second People's Hospital of Yibin, Yibin, China (Qiu); the National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China (Xia, Yuan, He); the Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China (Xia, He); the IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Xia, He); the Department of Psychiatry, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Kuang); the Department of Oncology, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Bi); the National Engineering Research Centre for Biomaterials, Sichuan University, Chengdu, Sichuan, China (Ai, Gu)
| | - Lin Yuan
- From the Huaxi MR Research Centre (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Qiu, Chen, Lui, Huang, Gong); the Department of Radiology, The Second People's Hospital of Yibin, Yibin, China (Qiu); the National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China (Xia, Yuan, He); the Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China (Xia, He); the IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Xia, He); the Department of Psychiatry, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Kuang); the Department of Oncology, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Bi); the National Engineering Research Centre for Biomaterials, Sichuan University, Chengdu, Sichuan, China (Ai, Gu)
| | - Weihong Kuang
- From the Huaxi MR Research Centre (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Qiu, Chen, Lui, Huang, Gong); the Department of Radiology, The Second People's Hospital of Yibin, Yibin, China (Qiu); the National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China (Xia, Yuan, He); the Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China (Xia, He); the IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Xia, He); the Department of Psychiatry, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Kuang); the Department of Oncology, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Bi); the National Engineering Research Centre for Biomaterials, Sichuan University, Chengdu, Sichuan, China (Ai, Gu)
| | - Feng Bi
- From the Huaxi MR Research Centre (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Qiu, Chen, Lui, Huang, Gong); the Department of Radiology, The Second People's Hospital of Yibin, Yibin, China (Qiu); the National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China (Xia, Yuan, He); the Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China (Xia, He); the IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Xia, He); the Department of Psychiatry, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Kuang); the Department of Oncology, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Bi); the National Engineering Research Centre for Biomaterials, Sichuan University, Chengdu, Sichuan, China (Ai, Gu)
| | - Hua Ai
- From the Huaxi MR Research Centre (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Qiu, Chen, Lui, Huang, Gong); the Department of Radiology, The Second People's Hospital of Yibin, Yibin, China (Qiu); the National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China (Xia, Yuan, He); the Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China (Xia, He); the IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Xia, He); the Department of Psychiatry, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Kuang); the Department of Oncology, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Bi); the National Engineering Research Centre for Biomaterials, Sichuan University, Chengdu, Sichuan, China (Ai, Gu)
| | - Zhongwei Gu
- From the Huaxi MR Research Centre (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Qiu, Chen, Lui, Huang, Gong); the Department of Radiology, The Second People's Hospital of Yibin, Yibin, China (Qiu); the National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China (Xia, Yuan, He); the Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China (Xia, He); the IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Xia, He); the Department of Psychiatry, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Kuang); the Department of Oncology, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Bi); the National Engineering Research Centre for Biomaterials, Sichuan University, Chengdu, Sichuan, China (Ai, Gu)
| | - Su Lui
- From the Huaxi MR Research Centre (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Qiu, Chen, Lui, Huang, Gong); the Department of Radiology, The Second People's Hospital of Yibin, Yibin, China (Qiu); the National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China (Xia, Yuan, He); the Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China (Xia, He); the IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Xia, He); the Department of Psychiatry, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Kuang); the Department of Oncology, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Bi); the National Engineering Research Centre for Biomaterials, Sichuan University, Chengdu, Sichuan, China (Ai, Gu)
| | - Xiaoqi Huang
- From the Huaxi MR Research Centre (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Qiu, Chen, Lui, Huang, Gong); the Department of Radiology, The Second People's Hospital of Yibin, Yibin, China (Qiu); the National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China (Xia, Yuan, He); the Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China (Xia, He); the IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Xia, He); the Department of Psychiatry, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Kuang); the Department of Oncology, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Bi); the National Engineering Research Centre for Biomaterials, Sichuan University, Chengdu, Sichuan, China (Ai, Gu)
| | - Yong He
- From the Huaxi MR Research Centre (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Qiu, Chen, Lui, Huang, Gong); the Department of Radiology, The Second People's Hospital of Yibin, Yibin, China (Qiu); the National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China (Xia, Yuan, He); the Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China (Xia, He); the IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Xia, He); the Department of Psychiatry, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Kuang); the Department of Oncology, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Bi); the National Engineering Research Centre for Biomaterials, Sichuan University, Chengdu, Sichuan, China (Ai, Gu)
| | - Qiyong Gong
- From the Huaxi MR Research Centre (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Qiu, Chen, Lui, Huang, Gong); the Department of Radiology, The Second People's Hospital of Yibin, Yibin, China (Qiu); the National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China (Xia, Yuan, He); the Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China (Xia, He); the IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Xia, He); the Department of Psychiatry, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Kuang); the Department of Oncology, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Bi); the National Engineering Research Centre for Biomaterials, Sichuan University, Chengdu, Sichuan, China (Ai, Gu)
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Electroconvulsive therapy regulates emotional memory bias of depressed patients. Psychiatry Res 2017; 257:296-302. [PMID: 28787655 DOI: 10.1016/j.psychres.2017.07.069] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2017] [Revised: 06/20/2017] [Accepted: 07/29/2017] [Indexed: 12/17/2022]
Abstract
Emotional memory bias is considered to be an important base of the etiology of depression and can be reversed by antidepressants via enhancing the memory for positive stimuli. Another antidepressant treatment, electroconvulsive therapy (ECT), has rapid antidepressant effect and frequently causes short-term memory impairment. However, it is unclear about the short-term effect of ECT on memory bias. In this study, the incidental memory task with emotional pictures were applied to evaluate the emotional memory of twenty depressed patients at pre- and post-ECT (three days after ECT) compared to twenty healthy controls. The depressive symptoms were evaluated using the Hamilton rating scale of depression (HRSD). Before ECT, patients showed decreased recognition memory for positive pictures compared to controls and remembered negative pictures more easily than positive pictures in the recognition task. In patients, the main effect of session (pre-ECT and post-ECT) was significant for both recognition and recall memory with reduced memory performance. The interaction between valence (positive, neutral and negative) and session was significant for recognition memory, indicating that negative memory was impaired more severely than positive memory. Our study indicates that ECT relieves depressive symptoms and regulates emotional memory through more severe impairment on memory for negative stimuli.
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25
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Caparelli EC, Ross TJ, Gu H, Liang X, Stein EA, Yang Y. Graph theory reveals amygdala modules consistent with its anatomical subdivisions. Sci Rep 2017; 7:14392. [PMID: 29089582 PMCID: PMC5663902 DOI: 10.1038/s41598-017-14613-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Accepted: 09/04/2017] [Indexed: 11/25/2022] Open
Abstract
Similarities on the cellular and neurochemical composition of the amygdaloid subnuclei suggests their clustering into subunits that exhibit unique functional organization. The topological principle of community structure has been used to identify functional subnetworks in neuroimaging data that reflect the brain effective organization. Here we used modularity to investigate the organization of the amygdala using resting state functional magnetic resonance imaging (rsfMRI) data. Our goal was to determine whether such topological organization would reliably reflect the known neurobiology of individual amygdaloid nuclei, allowing for human imaging studies to accurately reflect the underlying neurobiology. Modularity analysis identified amygdaloid elements consistent with the main anatomical subdivisions of the amygdala that embody distinct functional and structural properties. Additionally, functional connectivity pathways of these subunits and their correlation with task-induced amygdala activation revealed distinct functional profiles consistent with the neurobiology of the amygdala nuclei. These modularity findings corroborate the structure–function relationship between amygdala anatomical substructures, supporting the use of network analysis techniques to generate biologically meaningful partitions of brain structures.
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Affiliation(s)
- Elisabeth C Caparelli
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland, USA.
| | - Thomas J Ross
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland, USA
| | - Hong Gu
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland, USA
| | - Xia Liang
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland, USA.,Research Center of Basic Space Science, Harbin Institute of Technology, Harbin, China
| | - Elliot A Stein
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland, USA
| | - Yihong Yang
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland, USA
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Agster KL, Tomás Pereira I, Saddoris MP, Burwell RD. Subcortical connections of the perirhinal, postrhinal, and entorhinal cortices of the rat. II. efferents. Hippocampus 2016; 26:1213-30. [PMID: 27101786 DOI: 10.1002/hipo.22600] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/07/2016] [Indexed: 01/17/2023]
Abstract
This is the second of two studies detailing the subcortical connections of the perirhinal (PER), the postrhinal (POR) and entorhinal (EC) cortices of the rat. In the present study, we analyzed the subcortical efferents of the rat PER areas 35 and 36, POR, and the lateral and medial entorhinal areas (LEA and MEA). Anterograde tracers were injected into these five regions, and the resulting density of fiber labeling was quantified in an extensive set of subcortical structures. Density and topography of fiber labeling were quantitatively assessed in 36 subcortical areas, including olfactory structures, claustrum, amygdala nuclei, septal nuclei, basal ganglia, thalamic nuclei, and hypothalamic structures. In addition to reporting the density of labeled fibers, we incorporated a new method for quantifying the size of anterograde projections that takes into account the volume of the target subcortical structure as well as the density of fiber labeling. The PER, POR, and EC displayed unique patterns of projections to subcortical areas. Interestingly, all regions examined provided strong input to the basal ganglia, although the projections arising in the PER and LEA were stronger and more widespread. PER areas 35 and 36 exhibited similar pattern of projections with some differences. PER area 36 projects more heavily to the lateral amygdala and much more heavily to thalamic nuclei including the lateral posterior nucleus, the posterior complex, and the nucleus reuniens. Area 35 projects more heavily to olfactory structures. The LEA provides the strongest and most widespread projections to subcortical structures including all those targeted by the PER as well as the medial and posterior septal nuclei. POR shows fewer subcortical projections overall, but contributes substantial input to the lateral posterior nucleus of the thalamus. The MEA projections are even weaker. Our results suggest that the PER and LEA have greater influence over olfactory, amygdala, and septal nuclei, whereas PER area 36 and the POR have greater influence over thalamic nuclei. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Kara L Agster
- Department of Neuroscience, Brown University, Providence, Rhode Island
| | - Inês Tomás Pereira
- Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, Rhode Island
| | - Michael P Saddoris
- Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, Rhode Island
| | - Rebecca D Burwell
- Department of Neuroscience, Brown University, Providence, Rhode Island.,Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, Rhode Island
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27
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Tomás Pereira I, Agster KL, Burwell RD. Subcortical connections of the perirhinal, postrhinal, and entorhinal cortices of the rat. I. afferents. Hippocampus 2016; 26:1189-212. [PMID: 27119220 DOI: 10.1002/hipo.22603] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2015] [Revised: 04/06/2016] [Accepted: 04/22/2016] [Indexed: 01/08/2023]
Abstract
In this study the subcortical afferents for the rat PER areas 35 and 36, POR, and the lateral and medial entorhinal areas (LEA and MEA) were characterized. We analyzed 33 retrograde tract-tracing experiments distributed across the five regions. For each experiment, we estimated the total numbers, percentages, and densities of labeled cells in 36 subcortical structures and nuclei distributed across septum, basal ganglia, claustrum, amygdala, olfactory structures, thalamus, and hypothalamus. We found that the complement of subcortical inputs differs across the five regions, especially the PER and POR. The PER receives input from the reuniens, suprageniculate, and medial geniculate thalamic nuclei as well as the amygdala. Overall, the subcortical inputs to the PER were consistent with a role in perception, multimodal processing, and the formation of associations that include the motivational significance of individual items and objects. Subcortical inputs to the POR were dominated by the dorsal thalamus, particularly the lateral posterior nucleus, a region implicated in visuospatial attention. The complement of subcortical inputs to the POR is consistent with a role in representing and monitoring the local spatial context. We also report that, in addition to the PER, the LEA and the medial band of the MEA also receive strong amygdala input. In contrast, subcortical input to the POR and the MEA lateral band includes much less amygdala input and is dominated by dorsal thalamic nuclei, particularly nuclei involved in spatial information processing. Thus, some subcortical inputs are consistent with the view that there is functional differentiation along the septotemporal axis of the hippocampus, but others provide considerable integration. Overall, we conclude that the patterns of subcortical inputs to the PER, POR, and the entorhinal LEA and MEA provide further evidence for functional differentiation in the medial temporal lobe. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Inês Tomás Pereira
- Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, Rhode Island, 02912
| | - Kara L Agster
- Department of Neuroscience, Brown University, Providence, Rhode Island, 02912
| | - Rebecca D Burwell
- Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, Rhode Island, 02912.,Department of Neuroscience, Brown University, Providence, Rhode Island, 02912
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28
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McDonald AJ, Mott DD. Functional neuroanatomy of amygdalohippocampal interconnections and their role in learning and memory. J Neurosci Res 2016; 95:797-820. [PMID: 26876924 DOI: 10.1002/jnr.23709] [Citation(s) in RCA: 105] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2015] [Revised: 12/01/2015] [Accepted: 12/14/2015] [Indexed: 01/31/2023]
Abstract
The amygdalar nuclear complex and hippocampal/parahippocampal region are key components of the limbic system that play a critical role in emotional learning and memory. This Review discusses what is currently known about the neuroanatomy and neurotransmitters involved in amygdalo-hippocampal interconnections, their functional roles in learning and memory, and their involvement in mnemonic dysfunctions associated with neuropsychiatric and neurological diseases. Tract tracing studies have shown that the interconnections between discrete amygdalar nuclei and distinct layers of individual hippocampal/parahippocampal regions are robust and complex. Although it is well established that glutamatergic pyramidal cells in the amygdala and hippocampal region are the major players mediating interconnections between these regions, recent studies suggest that long-range GABAergic projection neurons are also involved. Whereas neuroanatomical studies indicate that the amygdala only has direct interconnections with the ventral hippocampal region, electrophysiological studies and behavioral studies investigating fear conditioning and extinction, as well as amygdalar modulation of hippocampal-dependent mnemonic functions, suggest that the amygdala interacts with dorsal hippocampal regions via relays in the parahippocampal cortices. Possible pathways for these indirect interconnections, based on evidence from previous tract tracing studies, are discussed in this Review. Finally, memory disorders associated with dysfunction or damage to the amygdala, hippocampal region, and/or their interconnections are discussed in relation to Alzheimer's disease, posttraumatic stress disorder (PTSD), and temporal lobe epilepsy. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Alexander J McDonald
- Department of Pharmacology, Physiology and Neuroscience, University of South Carolina School of Medicine, Columbia, South Carolina
| | - David D Mott
- Department of Pharmacology, Physiology and Neuroscience, University of South Carolina School of Medicine, Columbia, South Carolina
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29
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Wang Z, Zhang M, Han Y, Song H, Guo R, Li K. Differentially disrupted functional connectivity of the subregions of the amygdala in Alzheimer's disease. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2016; 24:329-342. [PMID: 27002909 DOI: 10.3233/xst-160556] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
The amygdala is an important brain area involved in cognitive procession and emotional regulation. Previous studies have typically considered the amygdala as a single structure, which likely masks contribution of individual amygdala subdivisions. Actually, the amygdala is heterogeneous and composed of structurally and functionally distinct nuclei, which may present different connectivity patterns and predict to relevant cognitive deficits in Alzheimer's disease (AD). However, little is known about functional connectivity of amygdala subregions in the resting state in AD subjects. Here, we employed resting-state functional MRI (fMRI) to examine functional connectivity changes of subregions comparing the AD patients with the age-matched control subjects. Thirty-two AD and 38 control subjects were analyzed. We defined three subregions of the amygdala according to probabilistic cytoarchitectonic atlases and mapped the whole-brain resting-state functional connectivity for each subregion: The central medial nucleus (CM) of amygdala exhibited connections with the lentiform nucleus, parahippocampus and lateral temporal gyrus; the lateral basal nucleus (LB) of amygdala functionally connected with the parahippocampus, lateral temporal gyrus, middle occipital gyrus and medial prefrontal cortex; and the superficial nucleus (SF) of amygdala had connection with the parahippocampus, lentiform nucleus, lateral temporal gyrus, insula, middle occipital gyrus, precentral and postcentral gyrus. Comparing with the controls, the AD patients presented disrupted connectivity patterns in the LB of amygdala, which predicted disconnection with the left uncus, right insula, right precentral gyrus, the left superior temporal gyrus and right claustrum. These findings in a large part supported our hypothesis and provided a new insight in understanding the pathophysiological mechanisms of AD.
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Affiliation(s)
- Zhiqun Wang
- Department of Radiology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Min Zhang
- Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Haiqing Song
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Rongjuan Guo
- Department of Neurology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Kuncheng Li
- Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
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30
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Yuan RK, Hebert JC, Thomas AS, Wann EG, Muzzio IA. HDAC I inhibition in the dorsal and ventral hippocampus differentially modulates predator-odor fear learning and generalization. Front Neurosci 2015; 9:319. [PMID: 26441495 PMCID: PMC4585269 DOI: 10.3389/fnins.2015.00319] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2015] [Accepted: 08/27/2015] [Indexed: 12/13/2022] Open
Abstract
Although predator odors are ethologically relevant stimuli for rodents, the molecular pathways and contribution of some brain regions involved in predator odor conditioning remain elusive. Inhibition of histone deacetylases (HDACs) in the dorsal hippocampus has been shown to enhance shock-induced contextual fear learning, but it is unknown if HDACs have differential effects along the dorso-ventral hippocampal axis during predator odor fear learning. We injected MS-275, a class I HDAC inhibitor, bilaterally in the dorsal or ventral hippocampus of mice and found that it had no effects on innate anxiety in either region. We then assessed the effects of MS-275 at different stages of fear learning along the longitudinal hippocampal axis. Animals were injected with MS-275 or vehicle after context pre-exposure (pre-conditioning injections), when a representation of the context is first formed, or after exposure to coyote urine (post-conditioning injections), when the context becomes associated with predator odor. When MS-275 was administered after context pre-exposure, dorsally injected animals showed enhanced fear in the training context but were able to discriminate it from a neutral environment. Conversely, ventrally injected animals did not display enhanced learning in the training context but generalized the fear response to a neutral context. However, when MS-275 was administered after conditioning, there were no differences between the MS-275 and vehicle control groups in either the dorsal or ventral hippocampus. Surprisingly, all groups displayed generalization to a neutral context, suggesting that predator odor exposure followed by a mild stressor such as restraint leads to fear generalization. These results may elucidate distinct functions of the dorsal and ventral hippocampus in predator odor-induced fear conditioning as well as some of the molecular mechanisms underlying fear generalization.
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Affiliation(s)
- Robin K Yuan
- Department of Psychology, University of Pennsylvania Philadelphia, PA, USA
| | - Jenna C Hebert
- Biological Basis of Behavior, University of Pennsylvania Philadelphia, PA, USA
| | - Arthur S Thomas
- Department of Biology, University of Pennsylvania Philadelphia, PA, USA
| | - Ellen G Wann
- Department of Psychology, University of Pennsylvania Philadelphia, PA, USA
| | - Isabel A Muzzio
- Department of Psychology, University of Pennsylvania Philadelphia, PA, USA ; Department of Biology, University of Texas at San Antonio San Antonio, TX, USA
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31
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GABAergic somatostatin-immunoreactive neurons in the amygdala project to the entorhinal cortex. Neuroscience 2015; 290:227-42. [PMID: 25637800 DOI: 10.1016/j.neuroscience.2015.01.028] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2014] [Revised: 01/14/2015] [Accepted: 01/16/2015] [Indexed: 11/21/2022]
Abstract
The entorhinal cortex and other hippocampal and parahippocampal cortices are interconnected by a small number of GABAergic nonpyramidal neurons in addition to glutamatergic pyramidal cells. Since the cortical and basolateral amygdalar nuclei have cortex-like cell types and have robust projections to the entorhinal cortex, we hypothesized that a small number of amygdalar GABAergic nonpyramidal neurons might participate in amygdalo-entorhinal projections. To test this hypothesis we combined Fluorogold (FG) retrograde tract tracing with immunohistochemistry for the amygdalar nonpyramidal cell markers glutamic acid decarboxylase (GAD), parvalbumin (PV), somatostatin (SOM), neuropeptide Y (NPY), vasoactive intestinal peptide (VIP), and the m2 muscarinic cholinergic receptor (M2R). Injections of FG into the rat entorhinal cortex labeled numerous neurons that were mainly located in the cortical and basolateral nuclei of the amygdala. Although most of these amygdalar FG+ neurons labeled by entorhinal injections were large pyramidal cells, 1-5% were smaller long-range nonpyramidal neurons (LRNP neurons) that expressed SOM, or both SOM and NPY. No amygdalar FG+ neurons in these cases were PV+ or VIP+. Cell counts revealed that LRNP neurons labeled by injections into the entorhinal cortex constituted about 10-20% of the total SOM+ population, and 20-40% of the total NPY population in portions of the lateral amygdalar nucleus that exhibited a high density of FG+ neurons. Sixty-two percent of amygdalar FG+/SOM+ neurons were GAD+, and 51% were M2R+. Since GABAergic projection neurons typically have low perikaryal levels of GABAergic markers, it is actually possible that most or all of the amygdalar LRNP neurons are GABAergic. Like GABAergic LRNP neurons in hippocampal/parahippocampal regions, amygdalar LRNP neurons that project to the entorhinal cortex are most likely involved in synchronizing oscillatory activity between the two regions. These oscillations could entrain synchronous firing of amygdalar and entorhinal pyramidal neurons, thus facilitating functional interactions between them, including synaptic plasticity.
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32
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Latini F. New insights in the limbic modulation of visual inputs: the role of the inferior longitudinal fasciculus and the Li-Am bundle. Neurosurg Rev 2014; 38:179-89; discussion 189-90. [PMID: 25323099 DOI: 10.1007/s10143-014-0583-1] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2013] [Revised: 07/21/2014] [Accepted: 08/31/2014] [Indexed: 01/18/2023]
Abstract
Recent anatomical and DTI data demonstrated new aspects in the subcortical occipito-temporal connections. Although a direct (inferior longitudinal fasciculus, ILF) pathway has been previously described, its fine description is still matter of debate. Moreover, a fast and direct subcortical connection between the limbic system and the occipital lobe has been previously recognized in many functional studies but it still remains poorly documented by anatomical images. We provided for the first time an extensive and detailed anatomical description of the ILF subcortical segmentation. We dissected four human hemispheres with modified Klingler's technique, from the basal to the lateral occipito-temporal surface in the two steps, tracking the ILF fibers until their cortical termination. Pictures of this direct temporo-occipital pathway are discussed in the light of recent literature regarding anatomy and functions of occipito-temporal areas. The dissection confirmed the classical originating branches of ILF and allowed a fine description of two main subcomponent of this bundle, both characterized by separate hierarchical distribution: a dorsal ILF and a ventral ILF. Moreover, a direct pathway between lingual cortex and amygdala, not previously demonstrated, is here described with anatomical images. Even if preliminary in results, this is the first fine description of ILF's subcomponents. The complex but clearly segregated organization of the fibers of this bundle (dILF and vILF) supports different level of functions mediated by visual recognition. Moreover, the newly described direct pathway from lingual to amygdala (Li-Am), seems involved in the limbic modulation of visual processing, so it may support physiological conditions the crucial role of this connection in human social cognition. In pathological conditions, on the other hand, this may be one of the hyperactivated pathways in temporo-occipital epileptic and nonepileptic syndromes.
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Affiliation(s)
- Francesco Latini
- Division of Neurosurgery, Department of Neuroscience and Rehabilitation, S. Anna University Hospital, Ferrara, Italy,
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33
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Cullen KR, Westlund M, Klimes-Dougan B, Mueller BA, Houri A, Eberly LE, Lim KO. Abnormal amygdala resting-state functional connectivity in adolescent depression. JAMA Psychiatry 2014; 71:1138-47. [PMID: 25133665 PMCID: PMC4378862 DOI: 10.1001/jamapsychiatry.2014.1087] [Citation(s) in RCA: 217] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
IMPORTANCE Major depressive disorder (MDD) frequently emerges during adolescence and can lead to persistent illness, disability, and suicide. The maturational changes that take place in the brain during adolescence underscore the importance of examining neurobiological mechanisms during this time of early illness. However, neural mechanisms of depression in adolescents have been understudied. Research has implicated the amygdala in emotion processing in mood disorders, and adult depression studies have suggested amygdala-frontal connectivity deficits. Resting-state functional magnetic resonance imaging is an advanced tool that can be used to probe neural networks and identify brain-behavior relationships. OBJECTIVE To examine amygdala resting-state functional connectivity (RSFC) in adolescents with and without MDD using resting-state functional magnetic resonance imaging as well as how amygdala RSFC relates to a broad range of symptom dimensions. DESIGN, SETTING, AND PARTICIPANTS A cross-sectional resting-state functional magnetic resonance imaging study was conducted within a depression research program at an academic medical center. Participants included 41 adolescents and young adults aged 12 to 19 years with MDD and 29 healthy adolescents (frequency matched on age and sex) with no psychiatric diagnoses. MAIN OUTCOMES AND MEASURES Using a whole-brain functional connectivity approach, we examined the correlation of spontaneous fluctuation of the blood oxygen level-dependent signal of each voxel in the whole brain with that of the amygdala. RESULTS Adolescents with MDD showed lower positive RSFC between the amygdala and hippocampus, parahippocampus, and brainstem (z >2.3, corrected P < .05); this connectivity was inversely correlated with general depression (R = -.523, P = .01), dysphoria (R = -.455, P = .05), and lassitude (R = -.449, P = .05) and was positively correlated with well-being (R = .470, P = .03). Patients also demonstrated greater (positive) amygdala-precuneus RSFC (z >2.3, corrected P < .05) in contrast to negative amygdala-precuneus RSFC in the adolescents serving as controls. CONCLUSIONS AND RELEVANCE Impaired amygdala-hippocampal/brainstem and amygdala-precuneus RSFC have not previously been highlighted in depression and may be unique to adolescent MDD. These circuits are important for different aspects of memory and self-processing and for modulation of physiologic responses to emotion. The findings suggest potential mechanisms underlying both mood and vegetative symptoms, potentially via impaired processing of memories and visceral signals that spontaneously arise during rest, contributing to the persistent symptoms experienced by adolescents with depression.
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Affiliation(s)
| | - Melinda Westlund
- Psychology Department, University of Minnesota College of Liberal Arts
| | | | - Bryon A. Mueller
- Department of Psychiatry, University of Minnesota Medical School
| | - Alaa Houri
- Department of Psychiatry, University of Minnesota Medical School
| | | | - Kelvin O. Lim
- Department of Psychiatry, University of Minnesota Medical School
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34
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Fine-grained mapping of mouse brain functional connectivity with resting-state fMRI. Neuroimage 2014; 96:203-15. [PMID: 24718287 DOI: 10.1016/j.neuroimage.2014.03.078] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2013] [Revised: 02/19/2014] [Accepted: 03/30/2014] [Indexed: 01/01/2023] Open
Abstract
Understanding the intrinsic circuit-level functional organization of the brain has benefited tremendously from the advent of resting-state fMRI (rsfMRI). In humans, resting-state functional network has been consistently mapped and its alterations have been shown to correlate with symptomatology of various neurological or psychiatric disorders. To date, deciphering the mouse brain functional connectivity (MBFC) with rsfMRI remains a largely underexplored research area, despite the plethora of human brain disorders that can be modeled in this specie. To pave the way from pre-clinical to clinical investigations we characterized here the intrinsic architecture of mouse brain functional circuitry, based on rsfMRI data acquired at 7T using the Cryoprobe technology. High-dimensional spatial group independent component analysis demonstrated fine-grained segregation of cortical and subcortical networks into functional clusters, overlapping with high specificity onto anatomical structures, down to single gray matter nuclei. These clusters, showing a high level of stability and reliability in their patterning, formed the input elements for computing the MBFC network using partial correlation and graph theory. Its topological architecture conserved the fundamental characteristics described for the human and rat brain, such as small-worldness and partitioning into functional modules. Our results additionally showed inter-modular interactions via "network hubs". Each major functional system (motor, somatosensory, limbic, visual, autonomic) was found to have representative hubs that might play an important input/output role and form a functional core for information integration. Moreover, the rostro-dorsal hippocampus formed the highest number of relevant connections with other brain areas, highlighting its importance as core structure for MBFC.
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35
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Gutiérrez-Castellanos N, Pardo-Bellver C, Martínez-García F, Lanuza E. The vomeronasal cortex - afferent and efferent projections of the posteromedial cortical nucleus of the amygdala in mice. Eur J Neurosci 2013; 39:141-58. [PMID: 24188795 DOI: 10.1111/ejn.12393] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2013] [Revised: 09/13/2013] [Accepted: 09/17/2013] [Indexed: 12/18/2022]
Abstract
Most mammals possess a vomeronasal system that detects predominantly chemical signals of biological relevance. Vomeronasal information is relayed to the accessory olfactory bulb (AOB), whose unique cortical target is the posteromedial cortical nucleus of the amygdala. This cortical structure should therefore be considered the primary vomeronasal cortex. In the present work, we describe the afferent and efferent connections of the posteromedial cortical nucleus of the amygdala in female mice, using anterograde (biotinylated dextranamines) and retrograde (Fluorogold) tracers, and zinc selenite as a tracer specific for zinc-enriched (putative glutamatergic) projections. The results show that the posteromedial cortical nucleus of the amygdala is strongly interconnected not only with the rest of the vomeronasal system (AOB and its target structures in the amygdala), but also with the olfactory system (piriform cortex, olfactory-recipient nuclei of the amygdala and entorhinal cortex). Therefore, the posteromedial cortical nucleus of the amygdala probably integrates olfactory and vomeronasal information. In addition, the posteromedial cortical nucleus of the amygdala shows moderate interconnections with the associative (basomedial) amygdala and with the ventral hippocampus, which may be involved in emotional and spatial learning (respectively) induced by chemical signals. Finally, the posteromedial cortical nucleus of the amygdala gives rise to zinc-enriched projections to the ventrolateral septum and the ventromedial striatum (including the medial islands of Calleja). This pattern of intracortical connections (with the olfactory cortex and hippocampus, mainly) and cortico-striatal excitatory projections (with the olfactory tubercle and septum) is consistent with its proposed nature as the primary vomeronasal cortex.
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Affiliation(s)
- Nicolás Gutiérrez-Castellanos
- Laboratori de Neuroanatomia Funcional Comparada, Departaments de Biologia Cellular i de Biologia Funcional, Facultat de Ciències Biològiques, Universitat de València, Burjassot, 46100, València, Spain
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36
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Kelley R, Chang KD, Garrett A, Alegría D, Thompson P, Howe M, L Reiss A. Deformations of amygdala morphology in familial pediatric bipolar disorder. Bipolar Disord 2013; 15:795-802. [PMID: 24034354 DOI: 10.1111/bdi.12114] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2012] [Accepted: 03/29/2013] [Indexed: 12/22/2022]
Abstract
OBJECTIVE Smaller amygdalar volumes have been consistently observed in pediatric bipolar disorder subjects compared to healthy control subjects. Whether smaller amygdalar volume is a consequence or antecedent of the first episode of mania is not known. Additionally, smaller volume has not been localized to specific amygdala subregions. METHODS We compared surface contour maps of the amygdala between 22 youths at high risk for bipolar disorder, 26 youths meeting full diagnostic criteria for pediatric familial bipolar disorder, and 24 healthy control subjects matched for age, gender, and intelligence quotient. Amygdalae were manually delineated on three-dimensional spoiled gradient echo images by a blinded rater using established tracing protocols. Statistical surface mesh modeling algorithms supported by permutation statistics were used to identify regional surface differences between the groups. RESULTS When compared to high-risk subjects and controls, youth with bipolar disorder showed surface deformations in specific amygdalar subregions, suggesting smaller volume of the basolateral nuclei. The high-risk subjects did not differ from controls in any subregion. CONCLUSIONS These findings support previous reports of smaller amygdala volume in pediatric bipolar disorder and map the location of abnormality to specific amygdala subregions. These subregions have been associated with fear conditioning and emotion-enhanced memory. The absence of amygdala size abnormalities in youth at high risk for bipolar disorder suggests that reductions might occur after the onset of mania.
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Affiliation(s)
- Ryan Kelley
- Center for Interdisciplinary Brain Sciences Research (CIBSR), Stanford University School of Medicine, Palo Alto, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, USA
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37
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Lauterbach EC, Cummings JL, Kuppuswamy PS. Toward a more precise, clinically—informed pathophysiology of pathological laughing and crying. Neurosci Biobehav Rev 2013; 37:1893-916. [PMID: 23518269 DOI: 10.1016/j.neubiorev.2013.03.002] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2012] [Revised: 03/01/2013] [Accepted: 03/11/2013] [Indexed: 12/11/2022]
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38
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Functional anatomy of 5-HT2A receptors in the amygdala and hippocampal complex: relevance to memory functions. Exp Brain Res 2013; 230:427-39. [PMID: 23591691 DOI: 10.1007/s00221-013-3512-6] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2013] [Accepted: 04/03/2013] [Indexed: 01/23/2023]
Abstract
The amygdaloid complex and hippocampal region contribute to emotional activities, learning, and memory. Mounting evidence suggests a primary role for serotonin (5-HT) in the physiological basis of memory and its pathogenesis by modulating directly the activity of these two areas and their cross-talk. Indeed, both the amygdala and the hippocampus receive remarkably dense serotoninergic inputs from the dorsal and median raphe nuclei. Anatomical, behavioral and electrophysiological evidence indicates the 5-HT2A receptor as one of the principal postsynaptic targets mediating 5-HT effects. In fact, the 5-HT2A receptor is the most abundant 5-HT receptor expressed in these brain structures and is expressed on both amygdalar and hippocampal pyramidal glutamatergic neurons as well as on γ-aminobutyric acid (GABA)-containing interneurons. 5-HT2A receptors on GABAergic interneurons stimulate GABA release, and thereby have an important role in regulating network activity and neural oscillations in the amygdala and hippocampal region. This review will focus on the distribution and physiological functions of the 5-HT2A receptor in the amygdala and hippocampal region. Taken together the results discussed here suggest that 5-HT2A receptor may be a potential therapeutic target for those disorders related to hippocampal and amygdala dysfunction.
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39
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Wang ME, Fraize NP, Yin L, Yuan RK, Petsagourakis D, Wann EG, Muzzio IA. Differential roles of the dorsal and ventral hippocampus in predator odor contextual fear conditioning. Hippocampus 2013; 23:451-66. [PMID: 23460388 DOI: 10.1002/hipo.22105] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/11/2013] [Indexed: 01/15/2023]
Abstract
The study of fear memory is important for understanding various anxiety disorders in which patients experience persistent recollections of traumatic events. These memories often involve associations of contextual cues with aversive events; consequently, Pavlovian classical conditioning is commonly used to study contextual fear learning. The use of predator odor as a fearful stimulus in contextual fear conditioning has become increasingly important as an animal model of anxiety disorders. Innate fear responses to predator odors are well characterized and reliable; however, attempts to use these odors as unconditioned stimuli in fear conditioning paradigms have proven inconsistent. Here we characterize a contextual fear conditioning paradigm using coyote urine as the unconditioned stimulus. We found that contextual conditioning induced by exposure to coyote urine produces long-term freezing, a stereotypic response to fear observed in mice. This paradigm is context-specific and parallels shock-induced contextual conditioning in that it is responsive to extinction training and manipulations of predator odor intensity. Region-specific lesions of the dorsal and ventral hippocampus indicate that both areas are independently required for the long-term expression of learned fear. These results in conjunction with c-fos immunostaining data suggest that while both the dorsal and ventral hippocampus are required for forming a contextual representation, the ventral region also modulates defensive behaviors associated with predators. This study provides information about the individual contributions of the dorsal and ventral hippocampus to ethologically relevant fear learning.
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Affiliation(s)
- Melissa E Wang
- Neuroscience Graduate Group, Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
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40
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Pardo-Bellver C, Cádiz-Moretti B, Novejarque A, Martínez-García F, Lanuza E. Differential efferent projections of the anterior, posteroventral, and posterodorsal subdivisions of the medial amygdala in mice. Front Neuroanat 2012; 6:33. [PMID: 22933993 PMCID: PMC3423790 DOI: 10.3389/fnana.2012.00033] [Citation(s) in RCA: 102] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2012] [Accepted: 07/27/2012] [Indexed: 11/29/2022] Open
Abstract
The medial amygdaloid nucleus (Me) is a key structure in the control of sociosexual behavior in mice. It receives direct projections from the main and accessory olfactory bulbs (AOB), as well as an important hormonal input. To better understand its behavioral role, in this work we investigate the structures receiving information from the Me, by analysing the efferent projections from its anterior (MeA), posterodorsal (MePD) and posteroventral (MePV) subdivisions, using anterograde neuronal tracing with biotinylated and tetrametylrhodamine-conjugated dextranamines. The Me is strongly interconnected with the rest of the chemosensory amygdala, but shows only moderate projections to the central nucleus and light projections to the associative nuclei of the basolateral amygdaloid complex. In addition, the MeA originates a strong feedback projection to the deep mitral cell layer of the AOB, whereas the MePV projects to its granule cell layer. The Me (especially the MeA) has also moderate projections to different olfactory structures, including the piriform cortex (Pir). The densest outputs of the Me target the bed nucleus of the stria terminalis (BST) and the hypothalamus. The MeA and MePV project to key structures of the circuit involved in the defensive response against predators (medial posterointermediate BST, anterior hypothalamic area, dorsomedial aspect of the ventromedial hypothalamic nucleus), although less dense projections also innervate reproductive-related nuclei. In contrast, the MePD projects mainly to structures that control reproductive behaviors [medial posteromedial BST, medial preoptic nucleus, and ventrolateral aspect of the ventromedial hypothalamic nucleus], although less dense projections to defensive-related nuclei also exist. These results confirm and extend previous results in other rodents and suggest that the medial amygdala is anatomically and functionally compartmentalized.
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Affiliation(s)
- Cecília Pardo-Bellver
- Facultat de Ciències Biològiques, Laboratory of Functional and Comparative Neuroanatomy, Departament de Biologia Cel·lular, Universitat de València València, Spain
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Carvalho MC, Moreira CM, Zanoveli JM, Brandão ML. Central, but not basolateral, amygdala involvement in the anxiolytic-like effects of midazolam in rats in the elevated plus maze. J Psychopharmacol 2012; 26:543-54. [PMID: 21148026 DOI: 10.1177/0269881110389209] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The role of the amygdala in the mediation of fear and anxiety has been extensively investigated. However, how the amygdala functions during the organization of the anxiety-like behaviors generated in the elevated plus maze (EPM) is still under investigation. The basolateral (BLA) and the central (CeA) nuclei are the main input and output stations of the amygdala. In the present study, we ethopharmacologically analyzed the behavior of rats subjected to the EPM and the tissue content of the monoamines dopamine (DA) and serotonin (5-HT) and their metabolites in the nucleus accumbens (NAc), dorsal hippocampus (DH), and dorsal striatum (DS) of animals injected with saline or midazolam (20 and 30 nmol/0.2 µL) into the BLA or CeA. Injections of midazolam into the CeA, but not BLA, caused clear anxiolytic-like effects in the EPM. These treatments did not cause significant changes in 5-HT or DA contents in the NAc, DH, or DS of animals tested in the EPM. The data suggest that the anxiolytic-like effects of midazolam in the EPM also appear to rely on GABA-benzodiazepine mechanisms in the CeA, but not BLA, and do not appear to depend on 5-HT and DA mechanisms prevalent in limbic structures.
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Affiliation(s)
- Milene C Carvalho
- Laboratório de Psicobiologia, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil
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Vonck K, de Herdt V, Sprengers M, Ben-Menachem E. Neurostimulation for epilepsy. HANDBOOK OF CLINICAL NEUROLOGY 2012; 108:955-970. [PMID: 22939078 DOI: 10.1016/b978-0-444-52899-5.00040-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Affiliation(s)
- Kristl Vonck
- Department of Neurology, Ghent University Hospital, Ghent, Belgium.
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Novaes LS, Shammah-Lagnado SJ. Projections from the anteroventral part of the medial amygdaloid nucleus in the rat. Brain Res 2011; 1421:30-43. [DOI: 10.1016/j.brainres.2011.09.021] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2011] [Revised: 09/07/2011] [Accepted: 09/10/2011] [Indexed: 02/06/2023]
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Pignatelli M, Beyeler A, Leinekugel X. Neural circuits underlying the generation of theta oscillations. ACTA ACUST UNITED AC 2011; 106:81-92. [PMID: 21964249 DOI: 10.1016/j.jphysparis.2011.09.007] [Citation(s) in RCA: 93] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2011] [Revised: 09/14/2011] [Accepted: 09/15/2011] [Indexed: 01/24/2023]
Abstract
Theta oscillations represent the neural network configuration underlying active awake behavior and paradoxical sleep. This major EEG pattern has been extensively studied, from physiological to anatomical levels, for more than half a century. Nevertheless the cellular and network mechanisms accountable for the theta generation are still not fully understood. This review synthesizes the current knowledge on the circuitry involved in the generation of theta oscillations, from the hippocampus to extra hippocampal structures such as septal complex, entorhinal cortex and pedunculopontine tegmentum, a main trigger of theta state through direct and indirect projections to the septal complex. We conclude with a short overview of the perspectives offered by technical advances for deciphering more precisely the different neural components underlying the emergence of theta oscillations.
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Affiliation(s)
- Michele Pignatelli
- Institut des Maladies Neurodégénératives, UMR 5293, CNRS and Université Bordeaux 1 & 2, Avenue des Facultés, Bat B2, Talence, France.
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Novejarque A, Gutiérrez-Castellanos N, Lanuza E, Martínez-García F. Amygdaloid projections to the ventral striatum in mice: direct and indirect chemosensory inputs to the brain reward system. Front Neuroanat 2011; 5:54. [PMID: 22007159 PMCID: PMC3159391 DOI: 10.3389/fnana.2011.00054] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2011] [Accepted: 08/03/2011] [Indexed: 11/22/2022] Open
Abstract
Rodents constitute good models for studying the neural basis of sociosexual behavior. Recent findings in mice have revealed the molecular identity of the some pheromonal molecules triggering intersexual attraction. However, the neural pathways mediating this basic sociosexual behavior remain elusive. Since previous work indicates that the dopaminergic tegmento-striatal pathway is not involved in pheromone reward, the present report explores alternative pathways linking the vomeronasal system with the tegmento-striatal system (the limbic basal ganglia) by means of tract-tracing experiments studying direct and indirect projections from the chemosensory amygdala to the ventral striato-pallidum. Amygdaloid projections to the nucleus accumbens, olfactory tubercle, and adjoining structures are studied by analyzing the retrograde transport in the amygdala from dextran amine and fluorogold injections in the ventral striatum, as well as the anterograde labeling found in the ventral striato-pallidum after dextran amine injections in the amygdala. This combination of anterograde and retrograde tracing experiments reveals direct projections from the vomeronasal cortex to the ventral striato-pallidum, as well as indirect projections through different nuclei of the basolateral amygdala. Direct projections innervate mainly the olfactory tubercle and the islands of Calleja, whereas indirect projections are more widespread and reach the same structures and the shell and core of nucleus accumbens. These pathways are likely to mediate innate responses to pheromones (direct projections) and conditioned responses to associated chemosensory and non-chemosensory stimuli (indirect projections). Comparative studies indicate that similar connections are present in all the studied amniote vertebrates and might constitute the basic circuitry for emotional responses to conspecifics in most vertebrates, including humans.
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Affiliation(s)
- Amparo Novejarque
- Departament de Biologia Funcional i Antropologia Física, Facultat de Ciències Biològiques, Universitat de València València, Spain
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Kealy J, Commins S. The rat perirhinal cortex: A review of anatomy, physiology, plasticity, and function. Prog Neurobiol 2011; 93:522-48. [DOI: 10.1016/j.pneurobio.2011.03.002] [Citation(s) in RCA: 87] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2010] [Revised: 01/28/2011] [Accepted: 03/10/2011] [Indexed: 11/26/2022]
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Increase of mushroom spine density in CA1 apical dendrites produced by water maze training is prevented by ovariectomy. Brain Res 2010; 1369:119-30. [PMID: 21070752 DOI: 10.1016/j.brainres.2010.10.105] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2010] [Revised: 10/26/2010] [Accepted: 10/27/2010] [Indexed: 01/20/2023]
Abstract
Dendritic spine density increases after spatial learning in hippocampal CA1 pyramidal neurons. Gonadal activity also regulates spine density, and abnormally low levels of circulating estrogens are associated with deficits in hippocampus-dependent tasks. To determine if gonadal activity influences behaviorally induced structural changes in CA1, we performed a morphometric analysis on rapid Golgi-stained tissue from ovariectomized (Ovx) and sham-operated (Sham) female rats 7 days after they were given a single water maze (WM) training session (hidden platform procedure) or a swimming session in the tank containing no platform (SC). We evaluated the density of different dendritic spine types (stubby, thin, and mushroom) in three segments (distal, medial, and proximal) of the principal apical dendrite from hippocampal CA1 pyramidal neurons. Performance in the WM task was impaired in Ovx animals compared to Sham controls. Total spine density increased after WM in Sham animals in the proximal and distal CA1 apical dendrite segments but not in the medial. Interestingly, mushroom spine density consistently increased in all CA1 segments after WM. As compared to the Sham group, SC-Ovx rats showed spine pruning in all the segments, but mushroom spine density did not change significantly. In Ovx rats, WM training increased the density of stubby and thin, but not mushroom spines. Thus, ovariectomy alone produces spine pruning, while spatial learning increases spine density in spite of ovariectomy. Finally, the results suggest that mushroom spine production in CA1 after spatial learning requires gonadal activity, whereas this activity is not required for mushroom spine maintenance.
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Galliot E, Levaillant M, Beard E, Millot JL, Pourié G. Enhancement of spatial learning by predator odor in mice: Involvement of amygdala and hippocampus. Neurobiol Learn Mem 2010; 93:196-202. [DOI: 10.1016/j.nlm.2009.09.011] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2009] [Revised: 09/03/2009] [Accepted: 09/25/2009] [Indexed: 10/20/2022]
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Gutiérrez-Castellanos N, Martínez-Marcos A, Martínez-García F, Lanuza E. Chemosensory Function of the Amygdala. VITAMINS & HORMONES 2010; 83:165-96. [DOI: 10.1016/s0083-6729(10)83007-9] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Petrulis A. Neural mechanisms of individual and sexual recognition in Syrian hamsters (Mesocricetus auratus). Behav Brain Res 2009; 200:260-7. [PMID: 19014975 PMCID: PMC2668739 DOI: 10.1016/j.bbr.2008.10.027] [Citation(s) in RCA: 54] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2008] [Revised: 10/20/2008] [Accepted: 10/22/2008] [Indexed: 11/27/2022]
Abstract
Recognizing the individual and sexual identities of conspecifics is critical for adaptive social behavior and, in most mammals this information is communicated primarily by chemosensory cues. Due to its heavy reliance on odor cues, we have used the Syrian hamster as our model species for investigating the neural regulation of social recognition. Using lesion, electrophysiological and immunocytochemical techniques, separate neural pathways underlying recognition of individual odors and guidance of sex-typical responses to opposite-sex odors have been identified in both male and female hamsters. Specifically, we have found that recognition of individual odor identity requires olfactory bulb connections to entorhinal cortex (ENT) rather than other chemoreceptive brain regions. This kind of social memory does not appear to require the hippocampus and may, instead, depend on ENT connections with piriform cortex. In contrast, sexual recognition, through either differential investigation or scent marking toward opposite-sex odors, depends on both olfactory and vomeronasal system input to the corticomedial amygdala. Preference for investigating opposite-sex odors requires primarily olfactory input to the medial amygdala (ME) whereas appropriately targeted scent marking responses require vomeronasal input to ME as well as to other structures. Within the ME, the anterior section (MEa) appears important for evaluating or classifying social odors whereas the posterodorsal region (MEpd) may be more involved in generating approach to social odors. Evidence is presented that analysis of social odors may initially be done in MEa and then communicated to MEpd, perhaps through micro-circuits that separately process male and female odors.
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Affiliation(s)
- Aras Petrulis
- Neuroscience Institute, Georgia State University, Atlanta, GA 30302-5030, USA.
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