The Medial Prefrontal Cortex As a Central Hub for Mental Comorbidities Associated with Chronic Pain
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Sustained Activities and Retrieval in a Computational Model of Perirhinal
Sustained activities and retrieval in a computational model of perirhinal cortex Julien Vitay and Fred H. Hamker∗ Abstract Perirhinal cortex is involved in object recognition and novelty detection, but also in multimodal in- tegration, reward association and visual working memory. We propose a computational model that focuses on the role of perirhinal cortex in working memory, particularly with respect to sustained activities and memory retrieval. This model describes how different partial informations are inte- grated into assemblies of neurons that represent the identity of an object. Through dopaminergic modulation, the resulting clusters can retrieve the global information with recurrent interactions between neurons. Dopamine leads to sustained activities after stimulus disappearance that form the basis of the involvement of perirhinal cortex in visual working memory processes. The infor- mation carried by a cluster can also be retrieved by a partial thalamic or prefrontal stimulation. Thus, we suggest that areas involved in planning and memory coordination encode a pointer to access the detailed information encoded in associative cortex such as perirhinal cortex. ∗Allgemeine Psychologie, Psychologisches Institut II, Westf. Wilhelms-Universit¨at M¨unster, Germany 1 Introduction Perirhinal cortex (PRh), composed of cortical areas 35 and 36, is located in the ventromedial part of the temporal lobe. It receives its major inputs from areas TE and TEO of inferotemporal cortex, as well as from entorhinal cortex (ERh), parahippocampal cortex, insular cortex and orbitofrontal cortex (Suzuki & Amaral, 1994). As part of the medial temporal lobe system (with hippocampus and ERh), its primary role is considered to be object-recognition memory, as shown by impairements in delayed matching-to-sample (DMS) or delayed nonmatching-to-sample (DNMS) tasks following PRh cooling or removal (Horel, Pytko-Joiner, Voytko, & Salsbury, 1987; Zola-Morgan, Squire, Amaral, & Suzuki, 1989; Meunier, Bachevalier, Mishkin, & Murray, 1993; Buffalo, Reber, & Squire, 1998). -
Role of Human Ventromedial Prefrontal Cortex in Learning and Recall of Enhanced Extinction
3264 • The Journal of Neuroscience, April 24, 2019 • 39(17):3264–3276 Behavioral/Cognitive Role of Human Ventromedial Prefrontal Cortex in Learning and Recall of Enhanced Extinction X Joseph E. Dunsmoor,1 XMarijn C.W. Kroes,2 XJian Li,3 X Nathaniel D. Daw,4 Helen B. Simpson,5,6 and X Elizabeth A. Phelps7 1Department of Psychiatry, University of Texas at Austin, Austin, Texas 78712, 2Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands, 3School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behaviour and Mental Health, Peking University, Beijing, China, 4Princeton Neuroscience Institute and Department of Psychology, Peking University, Princeton, New Jersey 08544, 5Department of Psychiatry, Columbia University, New York, New York 10032, 6New York State Psychiatric Institute, New York, New York 10032, and 7Department of Psychology, Harvard University, Cambridge, Massachusetts 02138 Standard fear extinction relies on the ventromedial prefrontal cortex (vmPFC) to form a new memory given the omission of threat. Using fMRI in humans, we investigated whether replacing threat with novel neutral outcomes (instead of just omitting threat) facilitates extinction by engaging the vmPFC more effectively than standard extinction. Computational modeling of associability (indexing surprise strength and dynamically modulating learning rates) characterized skin conductance responses and vmPFC activity during novelty- facilitated but not standard extinction. Subjects who showed faster within-session updating of associability during novelty-facilitated extinction also expressed better extinction retention the next day, as expressed through skin conductance responses. Finally, separable patterns of connectivity between the amygdala and ventral versus dorsal mPFC characterized retrieval of novelty-facilitated versus standard extinction memories, respectively. -
Connectivity of BA46 Involvement in the Executive Control of Language
Alfredo Ardila, Byron Bernal and Monica Rosselli Psicothema 2016, Vol. 28, No. 1, 26-31 ISSN 0214 - 9915 CODEN PSOTEG Copyright © 2016 Psicothema doi: 10.7334/psicothema2015.174 www.psicothema.com Connectivity of BA46 involvement in the executive control of language Alfredo Ardila1, Byron Bernal2 and Monica Rosselli3 1 Florida International University, 2 Miami Children’s Hospital and 3 Florida Atlantic University Abstract Resumen Background: Understanding the functions of different brain areas has Estudio de la conectividad del AB46 en el control ejecutivo del lenguaje. represented a major endeavor of contemporary neurosciences. Modern Antecedentes: la comprensión de las funciones de diferentes áreas neuroimaging developments suggest cognitive functions are associated cerebrales representa una de las mayores empresas de las neurociencias with networks rather than with specifi c areas. Objectives. The purpose contemporáneas. Los estudios contemporáneos con neuroimágenes of this paper was to analyze the connectivity of Brodmann area (BA) 46 sugieren que las funciones cognitivas se asocian con redes más que con (anterior middle frontal gyrus) in relation to language. Methods: A meta- áreas específi cas. El propósito de este estudio fue analizar la conectividad analysis was conducted to assess the language network in which BA46 is del área de Brodmann 46 (BA46) (circunvolución frontal media anterior) involved. The DataBase of Brainmap was used; 19 papers corresponding con relación al lenguaje. Método: se llevó a cabo un meta-análisis para to 60 experimental conditions with a total of 245 subjects were included. determinar el circuito o red lingüística en la cual participa BA46. Se utilizó Results: Our results suggest the core network of BA46. -
Dorsolateral Prefrontal Cortex-Based Control with an Implanted Brain–Computer Interface
www.nature.com/scientificreports OPEN Dorsolateral prefrontal cortex‑based control with an implanted brain–computer interface Sacha Leinders 1, Mariska J. Vansteensel 1, Mariana P. Branco 1, Zac V. Freudenburg1, Elmar G. M. Pels1, Benny Van der Vijgh1, Martine J. E. Van Zandvoort2, Nicolas F. Ramsey1* & Erik J. Aarnoutse 1 The objective of this study was to test the feasibility of using the dorsolateral prefrontal cortex as a signal source for brain–computer interface control in people with severe motor impairment. We implanted two individuals with locked‑in syndrome with a chronic brain–computer interface designed to restore independent communication. The implanted system (Utrecht NeuroProsthesis) included electrode strips placed subdurally over the dorsolateral prefrontal cortex. In both participants, counting backwards activated the dorsolateral prefrontal cortex consistently over the course of 47 and 22months, respectively. Moreover, both participants were able to use this signal to control a cursor in one dimension, with average accuracy scores of 78 ± 9% (standard deviation) and 71 ± 11% (chance level: 50%), respectively. Brain– computer interface control based on dorsolateral prefrontal cortex activity is feasible in people with locked‑in syndrome and may become of relevance for those unable to use sensorimotor signals for control. Locked-in syndrome (LIS) is characterized by intact cognition and (almost) complete loss of voluntary movement1. Brain–computer interface (BCI) systems allow computer control with brain activity and can there- fore provide an alternative communication channel to people with LIS. BCI systems depending on self-initiated modulation of brain activity generally measure from sensorimotor areas, e.g.2–9. However, not all people with LIS may be able to reliably modulate sensorimotor activity, due to for instance atrophy secondary to neurode- generative disease10,11, damage afer stroke or injury, or atypical neural activity 12. -
Extinction Learning in Humans: Role of the Amygdala and Vmpfc
Neuron, Vol. 43, 897–905, September 16, 2004, Copyright 2004 by Cell Press Extinction Learning in Humans: Role of the Amygdala and vmPFC Elizabeth A. Phelps,1,* Mauricio R. Delgado,1 CR). Extinction occurs when a CS is presented alone, Katherine I. Nearing,1 and Joseph E. LeDoux2 without the US, for a number of trials and eventually the 1Department of Psychology and CR is diminished or eliminated. Behavioral studies of 2Center for Neural Science extinction suggest that it is not a process of “unlearning” New York University but rather is a process of new learning of fear inhibition. New York, New York 10003 This view of extinction as an active learning process is supported by studies showing that after extinction the CR can return in a number of situations, such as the Summary passage of time (spontaneous recovery), the presenta- tion of the US alone (reinstatement), or if the animal is Understanding how fears are acquired is an important placed in the context of initial learning (renewal; see step in translating basic research to the treatment Bouton, 2002, for a review). Although animal models of of fear-related disorders. However, understanding how the mechanisms of fear acquisition have been investi- learned fears are diminished may be even more valuable. gated over the last several decades, studies of the We explored the neural mechanisms of fear extinction mechanisms of extinction learning have only recently in humans. Studies of extinction in nonhuman animals started to emerge. Research examining the neural sys- have focused on two interconnected brain regions: tems of fear extinction in nonhuman animals have fo- the amygdala and the ventral medial prefrontal cortex cused on two interconnected brain regions: the ventral (vmPFC). -
Dissociable Roles of Prelimbic and Infralimbic Cortices, Ventral Hippocampus, and Basolateral Amygdala in the Expression and Extinction of Conditioned Fear
Neuropsychopharmacology (2011) 36, 529–538 & 2011 American College of Neuropsychopharmacology. All rights reserved 0893-133X/11 $32.00 www.neuropsychopharmacology.org Dissociable Roles of Prelimbic and Infralimbic Cortices, Ventral Hippocampus, and Basolateral Amygdala in the Expression and Extinction of Conditioned Fear 1 1 ,1 Demetrio Sierra-Mercado , Nancy Padilla-Coreano , Gregory J Quirk* 1 Departments of Psychiatry and Anatomy and Neurobiology, University of Puerto Rico School of Medicine, San Juan, PR, USA Current models of conditioned fear expression and extinction involve the basolateral amygdala (BLA), ventral medial prefrontal cortex (vmPFC), and the hippocampus (HPC). There is some disagreement with respect to the specific roles of these structures, perhaps due to subregional differences within each area. For example, growing evidence suggests that infralimbic (IL) and prelimbic (PL) subregions of vmPFC have opposite influences on fear expression. Moreover, it is the ventral HPC (vHPC), rather than the dorsal HPC, that projects to vmPFC and BLA. To help determine regional specificity, we used small doses of the GABAA agonist muscimol to selectively inactivate IL, PL, BLA, or vHPC in an auditory fear conditioning and extinction paradigm. Infusions were performed prior to extinction training, allowing us to assess the effects on both fear expression and subsequent extinction memory. Inactivation of IL had no effect on fear expression, but impaired the within-session acquisition of extinction as well as extinction memory. In contrast, inactivation of PL impaired fear expression, but had no effect on extinction memory. Inactivation of the BLA or vHPC impaired both fear expression and extinction memory. Post-extinction inactivations had no effect in any structure. -
What, If Anything, Is Rodent Prefrontal Cortex?
Review Cognition and Behavior What, If Anything, Is Rodent Prefrontal Cortex? Mark Laubach,1 Linda M. Amarante,1 Kyra Swanson,1 and Samantha R. White1 https://doi.org/10.1523/ENEURO.0315-18.2018 1Department of Biology and Center for Behavioral Neuroscience, American University, Washington, DC 20016 Visual Abstract Prefrontal cortex (PFC) means different things to different people. In recent years, there has been a major increase in publications on the PFC, especially using mice. However, inconsistencies in the nomenclature and anatomical boundaries of PFC areas has made it difficult for researchers to compare data and interpret findings across species. We conducted a meta-analysis of publications on the PFC of humans and rodents and found dramatic differences in the focus of research on these species. In addition, we compared anatomical terms and criteria across several common rodent brain atlases and found inconsistencies among, and even within, leading atlases. To assess the impact of these issues on the research community, we conducted a survey of established PFC researchers on their use of anatomical terms and found little consensus. We report on the results of the survey and propose an alternative scheme for interpreting data Significance Statement Studies on prefrontal parts of the rodent cerebral cortex have appeared at an increasing rate in recent years. However, there has been no consensus on the terms used to describe the rodent prefrontal cortex (PFC) or how it relates to the PFC of monkeys and humans. To address these issues, we conducted a meta-analysis of publications on the PFC across species, a review of rodent brain atlases, a survey of PFC researchers on anatomic terms, and an analysis of how species differences in the corpus callosum might help relate PFC areas across species. -
Etats Rapides
List of European Pharmacopoeia Reference Standards Effective from 2015/12/24 Order Reference Standard Batch n° Quantity Sale Information Monograph Leaflet Storage Price Code per vial Unit Y0001756 Exemestane for system suitability 1 10 mg 1 2766 Yes +5°C ± 3°C 79 ! Y0001561 Abacavir sulfate 1 20 mg 1 2589 Yes +5°C ± 3°C 79 ! Y0001552 Abacavir for peak identification 1 10 mg 1 2589 Yes +5°C ± 3°C 79 ! Y0001551 Abacavir for system suitability 1 10 mg 1 2589 Yes +5°C ± 3°C 79 ! Y0000055 Acamprosate calcium - reference spectrum 1 n/a 1 1585 79 ! Y0000116 Acamprosate impurity A 1 50 mg 1 3-aminopropane-1-sulphonic acid 1585 Yes +5°C ± 3°C 79 ! Y0000500 Acarbose 3 100 mg 1 See leaflet ; Batch 2 is valid until 31 August 2015 2089 Yes +5°C ± 3°C 79 ! Y0000354 Acarbose for identification 1 10 mg 1 2089 Yes +5°C ± 3°C 79 ! Y0000427 Acarbose for peak identification 3 20 mg 1 Batch 2 is valid until 31 January 2015 2089 Yes +5°C ± 3°C 79 ! A0040000 Acebutolol hydrochloride 1 50 mg 1 0871 Yes +5°C ± 3°C 79 ! Y0000359 Acebutolol impurity B 2 10 mg 1 -[3-acetyl-4-[(2RS)-2-hydroxy-3-[(1-methylethyl)amino] propoxy]phenyl] 0871 Yes +5°C ± 3°C 79 ! acetamide (diacetolol) Y0000127 Acebutolol impurity C 1 20 mg 1 N-(3-acetyl-4-hydroxyphenyl)butanamide 0871 Yes +5°C ± 3°C 79 ! Y0000128 Acebutolol impurity I 2 0.004 mg 1 N-[3-acetyl-4-[(2RS)-3-(ethylamino)-2-hydroxypropoxy]phenyl] 0871 Yes +5°C ± 3°C 79 ! butanamide Y0000056 Aceclofenac - reference spectrum 1 n/a 1 1281 79 ! Y0000085 Aceclofenac impurity F 2 15 mg 1 benzyl[[[2-[(2,6-dichlorophenyl)amino]phenyl]acetyl]oxy]acetate -
Drug Name Plate Number Well Location % Inhibition, Screen Axitinib 1 1 20 Gefitinib (ZD1839) 1 2 70 Sorafenib Tosylate 1 3 21 Cr
Drug Name Plate Number Well Location % Inhibition, Screen Axitinib 1 1 20 Gefitinib (ZD1839) 1 2 70 Sorafenib Tosylate 1 3 21 Crizotinib (PF-02341066) 1 4 55 Docetaxel 1 5 98 Anastrozole 1 6 25 Cladribine 1 7 23 Methotrexate 1 8 -187 Letrozole 1 9 65 Entecavir Hydrate 1 10 48 Roxadustat (FG-4592) 1 11 19 Imatinib Mesylate (STI571) 1 12 0 Sunitinib Malate 1 13 34 Vismodegib (GDC-0449) 1 14 64 Paclitaxel 1 15 89 Aprepitant 1 16 94 Decitabine 1 17 -79 Bendamustine HCl 1 18 19 Temozolomide 1 19 -111 Nepafenac 1 20 24 Nintedanib (BIBF 1120) 1 21 -43 Lapatinib (GW-572016) Ditosylate 1 22 88 Temsirolimus (CCI-779, NSC 683864) 1 23 96 Belinostat (PXD101) 1 24 46 Capecitabine 1 25 19 Bicalutamide 1 26 83 Dutasteride 1 27 68 Epirubicin HCl 1 28 -59 Tamoxifen 1 29 30 Rufinamide 1 30 96 Afatinib (BIBW2992) 1 31 -54 Lenalidomide (CC-5013) 1 32 19 Vorinostat (SAHA, MK0683) 1 33 38 Rucaparib (AG-014699,PF-01367338) phosphate1 34 14 Lenvatinib (E7080) 1 35 80 Fulvestrant 1 36 76 Melatonin 1 37 15 Etoposide 1 38 -69 Vincristine sulfate 1 39 61 Posaconazole 1 40 97 Bortezomib (PS-341) 1 41 71 Panobinostat (LBH589) 1 42 41 Entinostat (MS-275) 1 43 26 Cabozantinib (XL184, BMS-907351) 1 44 79 Valproic acid sodium salt (Sodium valproate) 1 45 7 Raltitrexed 1 46 39 Bisoprolol fumarate 1 47 -23 Raloxifene HCl 1 48 97 Agomelatine 1 49 35 Prasugrel 1 50 -24 Bosutinib (SKI-606) 1 51 85 Nilotinib (AMN-107) 1 52 99 Enzastaurin (LY317615) 1 53 -12 Everolimus (RAD001) 1 54 94 Regorafenib (BAY 73-4506) 1 55 24 Thalidomide 1 56 40 Tivozanib (AV-951) 1 57 86 Fludarabine -
Influence of Co-Administrated Sinomenine on Pharmacokinetic
Journal of Ethnopharmacology 99 (2005) 61–67 Influence of co-administrated sinomenine on pharmacokinetic fate of paeoniflorin in unrestrained conscious rats Zhong Qiu Liu a, Hua Zhou a, Liang Liu a, Zhi Hong Jiang a, Yuen Fan Wong a, Ying Xie a, Xiong Cai a, Hong Xi Xu b, Kelvin Chan a, ∗ a School of Chinese Medicine, Hong Kong Baptist University, Kowloon Tong, Kowloon, Hong Kong, PR China b Hong Kong Jockey Club Institute of Chinese Medicine Limited, Hong Kong, PR China Received 10 August 2004; accepted 26 January 2005 Available online 20 March 2005 Abstract Paeonia lactiflora Pall. (Ranunculaceae) root and Sinomenium acutum Rehder and Wilson (Menispermaceae) stem are two herbs widely used in Chinese medicine to treat rheumatoid arthritis. While, in theory, either herb could be used alone, in practice, Chinese medicine practitioners prescribe them together. Studies on pharmacokinetic interaction between the active constituents of these two herbs (paeoniflorin and sinomenine, respectively) provide empirical evidence to support their clinical practice. A single dose of paeoniflorin (150 mg/kg) alone and with sinomenine hydrochloride (90 mg/kg) was administered by gastric gavage to unrestrained conscious male Sprague–Dawley rats (n =6, 250–300 g). Blood samples were collected periodically via a jugular vein before and after dosing from 10 min to 12 h. A high-performance liquid chromatographic (HPLC) assay was developed to determine the plasma concentrations of paeoniflorin. Non-compartmental pharmacokinetic profiles were constructed by using the software PK Solutions 2.0. The pharmacokinetic parameters were compared using unpaired Student t-test. After co-administration of sinomenine, the peak plasma concentration of paeoniflorin was elevated (P < 0.01), the peak time was delayed (P < 0.01), the AUC0–t was increased (P < 0.001), the mean residence time (MRT) was prolonged (P < 0.01), the CL was decreased (P < 0.01) and the Vd was reduced (P < 0.05). -
The Hippocampus, Prefrontal Cortex, and Perirhinal Cortex Are Critical to Incidental Order Memory
The hippocampus, prefrontal cortex, and perirhinal cortex are critical to incidental order memory Abbreviated Title: INCIDENTAL ORDER MEMORY Leila M. Allen1,2,3, Rachel A. Lesyshyn1,2, Steven J. O’Dell2, Timothy A. Allen1,3, Norbert J. Fortin1,2 1Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA 92697 2Department of Neurobiology and Behavior, University of California, Irvine, CA 92697 3Cogntive Neuroscience Program, Department of Psychology, Florida International University, Miami, FL 33199 Number of figures: 3 Number of tables: 0 Number of text pages: 25 Total Word Count: 8,777 Corresponding Author: Norbert J. Fortin, Ph.D. Center for the Neurobiology of Learning and Memory Department of Neurobiology and Behavior University of California, Irvine 106 Bonney Research Laboratory Irvine, CA 92697-3800 tel: 949-824-9740 email: [email protected] Conflicts of Interest: The authors declare no competing financial interests. Acknowledgments: We would like to thank Clare Quirk and Collin Fuhrman for assistance with behavioral and histological procedures. This research was supported, in part, by the National Science Foundation (awards IOS-1150292 and BCS-1439267 to N.J.F.), NIMH (award MH115697 to N.J.F.), the Whitehall Foundation (award 2010-05-84 to N.J.F.) and the University of California, Irvine. INCIDENTAL ORDER MEMORY 1 ABSTRACT 2 Considerable research in rodents and humans indicates the hippocampus and prefrontal cortex are 3 essential for remembering temporal relationships among stimuli, and accumulating evidence 4 suggests the perirhinal cortex may also be involved. However, experimental parameters differ 5 substantially across studies, which limits our ability to fully understand the fundamental 6 contributions of these structures. -
Neural Correlates Underlying Change in State Self-Esteem Hiroaki Kawamichi 1,2,3, Sho K
www.nature.com/scientificreports OPEN Neural correlates underlying change in state self-esteem Hiroaki Kawamichi 1,2,3, Sho K. Sugawara2,4,5, Yuki H. Hamano2,5,6, Ryo Kitada 2,7, Eri Nakagawa2, Takanori Kochiyama8 & Norihiro Sadato 2,5 Received: 21 July 2017 State self-esteem, the momentary feeling of self-worth, functions as a sociometer involved in Accepted: 11 January 2018 maintenance of interpersonal relations. How others’ appraisal is subjectively interpreted to change Published: xx xx xxxx state self-esteem is unknown, and the neural underpinnings of this process remain to be elucidated. We hypothesized that changes in state self-esteem are represented by the mentalizing network, which is modulated by interactions with regions involved in the subjective interpretation of others’ appraisal. To test this hypothesis, we conducted task-based and resting-state fMRI. Participants were repeatedly presented with their reputations, and then rated their pleasantness and reported their state self- esteem. To evaluate the individual sensitivity of the change in state self-esteem based on pleasantness (i.e., the subjective interpretation of reputation), we calculated evaluation sensitivity as the rate of change in state self-esteem per unit pleasantness. Evaluation sensitivity varied across participants, and was positively correlated with precuneus activity evoked by reputation rating. Resting-state fMRI revealed that evaluation sensitivity was positively correlated with functional connectivity of the precuneus with areas activated by negative reputation, but negatively correlated with areas activated by positive reputation. Thus, the precuneus, as the part of the mentalizing system, serves as a gateway for translating the subjective interpretation of reputation into state self-esteem.