D1.3 Title: Roadmap

Total Page:16

File Type:pdf, Size:1020Kb

D1.3 Title: Roadmap BNCI Horizon 2020 FP7-ICT-2013-10 609593 Nov 2013–Apr 2015 Deliverable: D1.3 Title: Roadmap Work package: WP1 Due: M9 Type: PU1 ☐ PP2 ☐ RE3 ☐ CO4 Main author: Clemens Brunner (TUG) Other authors: Gernot R. Müller-Putz (TUG) Mariska Van Steensel (UMCU) Begonya Otal (BDIGITAL) Floriana Pichiorri (FSL) Francesca Schettini (FSL) Ruben Real (UNIWUE) Maria Laura Blefari (EPFL) Johannes Höhne (TUB) Mannes Poel (UT) Abstract: This deliverable describes the current state of the roadmap document. Keywords: Roadmap 1 Public 2 Restricted to other program participants 3 Restricted to a group specified by the consortium 4 Confidential, only for members of the consortium 1 Table of Contents 1Introduction .............................................................................................................................. 3 2The Project ............................................................................................................................... 3 3The Consortium ........................................................................................................................ 4 4What is a BCI? ......................................................................................................................... 4 5Who can use a BCI? ................................................................................................................. 6 6Future opportunities and synergies ........................................................................................... 8 7Executive summary ................................................................................................................ 10 7.1Opportunities/benefits .................................................................................................... 10 7.2Recommendations .......................................................................................................... 10 7.3Highlight some use cases ............................................................................................... 10 8State of the art ......................................................................................................................... 11 8.1End users ........................................................................................................................ 11 8.2Research ......................................................................................................................... 12 8.2.1BCI concepts and paradigms .................................................................................. 12 8.2.2BCI data processing ............................................................................................... 13 8.2.3BCI hardware and recording techniques ................................................................ 14 8.3Industry........................................................................................................................... 17 8.3.1BCI-related industry stakeholders .......................................................................... 17 8.3.2The BCI sector ....................................................................................................... 19 9Application scenarios ............................................................................................................. 20 9.1Replace ........................................................................................................................... 21 9.1.1Mobility with a brain-controlled wheelchair .......................................................... 21 9.1.2Bionic arm with sensory feedback ......................................................................... 21 9.1.3BCI-controlled leg orthosis .................................................................................... 21 9.2Restore ............................................................................................................................ 22 9.2.1BCI-controlled neuroprosthesis.............................................................................. 22 9.2.2Cochlear implant adjustment .................................................................................. 23 9.2.3Spinal cord stimulation for reach and grasp ........................................................... 23 9.3Enhance .......................................................................................................................... 24 9.3.1A hybrid BCI for the use in an adaptive learning environment (neurotutor) ......... 24 9.3.2User experience in computer games ....................................................................... 24 9.3.3Automatic emergency calls .................................................................................... 24 9.4Supplement ..................................................................................................................... 24 9.4.1BCI-controlled robot assistant (telepresence) ........................................................ 24 9.4.2Multi-brain computing ........................................................................................... 25 9.5Improve .......................................................................................................................... 26 9.5.1Hybrid BCI-driven FES system for upper limb rehab after stroke ........................ 26 9.5.2Epilepsy .................................................................................................................. 26 9.5.3Cognitive stimulator ............................................................................................... 26 9.6Research ......................................................................................................................... 27 9.6.1Research Tool for Cognitive Neurosciences .......................................................... 27 9.6.2Medical exams ....................................................................................................... 28 9.6.3Adaptive neurofeedback BCI training application ................................................. 28 9.7Recommendations .......................................................................................................... 28 9.7.1End users ................................................................................................................ 28 9.7.2Research ................................................................................................................. 28 9.7.3Industry .................................................................................................................. 29 10Ethical issues ........................................................................................................................ 31 11Recommendations ................................................................................................................ 32 12References ............................................................................................................................ 33 Appendix……………………………………………………………………………………45 2 1 Introduction This document reflects the current progress of BNCI Horizon 2020. It contains mainly sections derived from material which was developed in the three work packages WP2, WP3, and WP4. The first public draft of the roadmap (due by the end of M12) might and most likely will be different from what is available right now, since we will incorporate feedback by our consortium and our advisory board to create a more streamlined and easy-to-read version of this document. We will also make the first public draft considerably shorter. Concerning the layout, we have created a template in the appendix which illustrates how the final document could look like. 2 The Project Brain-computer interfaces (BCIs) have become a popular topic for research in recent years. A BCI is a communication device which allows people to control applications through direct measures of their brain activity. A BNCI (brain/neuronal computer interaction) system extends a BCI by including other physiological measures such as muscle or eye movement signals. The number of BCI research groups around the world, peer-reviewed journal articles, conference abstracts, and attendance at relevant conferences are indicators of the rapid growth of this field. With dozens of companies and research groups actively participating in the development of BCIs and related technologies, collaboration, a common terminology, and a clear roadmap have become important topics. To provide a solution to these issues, the European Commission funded the coordination action Future BNCI in 2010/2011. This project was the first effort to foster collaboration and communication among key stakeholders. BNCI Horizon 2020 aims to continue and improve upon the efforts initiated by Future BNCI. A main result of BNCI Horizon 2020 will be a roadmap for the BCI field. This roadmap can support the European Commission in their funding decisions for the new framework program Horizon 2020. More specifically, we will focus on consolidating recent results in BNCI research and on investigating new BNCI activities and synergies with relevant fields. We will discuss potential new applications leading to the enhancement of functions for healthy people as well as people with motor, sensory, cognitive and mental disabilities. Furthermore, we will elaborate on key technological advancements necessary to achieve future goals, and we will touch upon other key topics including ethics, societal needs for and acceptance of BNCI systems, user-centered approaches,
Recommended publications
  • Manzotti Pepperell New Mind
    Draft: AI & Society “A Faustian Exchange: What is to be human in the era of Ubiquitous Technology The New Mind: Thinking Beyond the Head Riccardo MANZOTTI*, Robert PEPPERELL** *Institute of Consumption, Communication and Behavior IULM University, Via Carlo Bo, 8, 16033 Milano [email protected] **Cardiff School of Art & Design Howard Gardens, Cardiff CF24 0SP, UK [email protected] Abstract Throughout much of the modern period the human mind has been regarded as a property of the brain, and therefore something confined to the inside of the head — a view commonly known as 'internalism'. But recent works in cognitive science, philosophy, and anthropology, as well as certain trends in the development of technology, suggest an emerging view of the mind as a process not confined to the brain but spread through the body and world — an outlook covered by a family of views labeled 'externalism'. In this paper we will suggest there is now sufficient momentum in favour of externalism of various kinds to mark a historical shift in the way the mind is understood. We dub this emerging externalist tendency the 'New Mind'. Key properties of the New Mind will be summarized and some of its implications considered in areas such as art and culture, technology, and the science of consciousness. 1 Introduction For much of recorded human history, in both the European and Asian traditions, the question of how to understand that most ever present yet elusive properties of our existence — that fact that we have conscious minds — has occupied some of our greatest thinkers and provoked endless controversy.
    [Show full text]
  • The Speculative Neuroscience of the Future Human Brain
    Humanities 2013, 2, 209–252; doi:10.3390/h2020209 OPEN ACCESS humanities ISSN 2076-0787 www.mdpi.com/journal/humanities Article The Speculative Neuroscience of the Future Human Brain Robert A. Dielenberg Freelance Neuroscientist, 15 Parry Street, Cooks Hill, NSW, 2300, Australia; E-Mail: [email protected]; Tel.: +61-423-057-977 Received: 3 March 2013; in revised form: 23 April 2013 / Accepted: 27 April 2013 / Published: 21 May 2013 Abstract: The hallmark of our species is our ability to hybridize symbolic thinking with behavioral output. We began with the symmetrical hand axe around 1.7 mya and have progressed, slowly at first, then with greater rapidity, to producing increasingly more complex hybridized products. We now live in the age where our drive to hybridize has pushed us to the brink of a neuroscientific revolution, where for the first time we are in a position to willfully alter the brain and hence, our behavior and evolution. Nootropics, transcranial direct current stimulation (tDCS), transcranial magnetic stimulation (TMS), deep brain stimulation (DBS) and invasive brain mind interface (BMI) technology are allowing humans to treat previously inaccessible diseases as well as open up potential vistas for cognitive enhancement. In the future, the possibility exists for humans to hybridize with BMIs and mobile architectures. The notion of self is becoming increasingly extended. All of this to say: are we in control of our brains, or are they in control of us? Keywords: hybridization; BMI; tDCS; TMS; DBS; optogenetics; nootropic; radiotelepathy Introduction Newtonian systems aside, futurecasting is a risky enterprise at the best of times.
    [Show full text]
  • Program Book
    2 16 HBM GENEVA 22ND ANNUAL MEETING OF THE ORGANIZATION FOR HUMAN BRAIN MAPPING PROGRAM June 26-30, 2016 Palexpo Exhibition and Congress Centre | Geneva, Switzerland Simultaneous Multi-Slice Accelerate advanced neuro applications for clinical routine siemens.com/sms Simultaneous Multi-Slice is a paradigm shift in MRI Simulataneous Multi-Slice helps you to: acquisition – helping to drastically cut neuro DWI 1 scan times, and improving temporal resolution for ◾ reduce imaging time for diffusion MRI by up to 68% BOLD fMRI significantly. ◾ bring advanced DTI and BOLD into clinical routine ◾ push the limits in brain imaging research with 1 MAGNETOM Prisma, Head/Neck 64 acceleration factors up to 81 2 3654_MR_Ads_SMS_7,5x10_Zoll_DD.indd 1 24.03.16 09:45 WELCOME We would like to personally welcome each of you to the 22nd Annual Meeting TABLE OF CONTENTS of the Organization for Human Brain Mapping! The world of neuroimaging technology is more exciting today than ever before, and we’ll continue our Welcome Remarks . .3 tradition of bringing inspiration to you through the exceptional scientific sessions, General Information ..................6 poster presentations and networking forums that ensure you remain at the Registration, Exhibit Hours, Social Events, cutting edge. Speaker Ready Room, Hackathon Room, Evaluations, Mobile App, CME Credits, etc. Here is but a glimpse of what you can expect and what we hope to achieve over Daily Schedule ......................10 the next few days. Sunday, June 26: • Talairach Lecture presenter Daniel Wolpert, Univ. Cambridge UK, who Educational Courses Full Day:........10 will share his work on how humans learn to make skilled movements MR Diffusion Imaging: From the Basics covering probabilistic models of learning, the role and content in activating to Advanced Applications ............10 motor memories and the intimate interaction between decision making and Anatomy and Its Impact on Structural and Functional Imaging ..................11 sensorimotor control.
    [Show full text]
  • The Hard Problem and the Measurement Problem: a No-Go Theorem and Potential Consequences
    The hard problem and the measurement problem: a no-go theorem and potential consequences Igor Salom Institute of Physics, Belgrade University, Pregrevica 118, Zemun, Serbia The \measurement problem" of quantum mechanics, and the \hard problem" of cognitive science are the most profound open problems of the two research fields, and certainly among the deepest of all unsettled conundrums in contemporary science in general. Occasionally, scientists from both fields have suggested some sort of interconnectedness of the two problems. Here we revisit the main motives behind such expectations and try to put them on more formal grounds. We argue not only that such a relation exists, but that it also bears strong implications both for the interpretations of quantum mechanics and for our understanding of consciousness. The paper consists of three parts. In the first part, we formulate a \no-go-theorem" stating that a brain, functioning solely on the principles of classical physics, cannot have any greater ability to induce subjective experience than a process of writing (printing) a certain sequence of digits. The goal is to show, with an attempt to mathematical rigor, why the physicalist standpoint based on classical physics is not likely to ever explain the phenomenon of consciousness { justifying the tendency to look beyond the physics of the 19th century. In the second part, we aim to establish a clear relation, with a sort of correspondence mapping, between attitudes towards the hard problem and interpretations of quantum mechanics. Then we discuss these connections in the light of the no-go theorem, pointing out that the existence of subjective experience might differentiate between otherwise experimentally indistinguishable interpretations.
    [Show full text]
  • Recording Electrical Brain Activity with Novel Stretchable Electrodes Based on Supersonic Cluster Beam Implantation Nanotechnology on Conformable Polymers
    International Journal of Nanomedicine Dovepress open access to scientific and medical research Open Access Full Text Article ORIGINAL RESEARCH Recording Electrical Brain Activity with Novel Stretchable Electrodes Based on Supersonic Cluster Beam Implantation Nanotechnology on Conformable Polymers This article was published in the following Dove Press journal: International Journal of Nanomedicine Vadym Gnatkovsky 1 Background: Multielectrodes are implanted in central and peripheral nervous systems for Alessandro Cattalini 1 rehabilitation and diagnostic purposes. The physical resistance of intracranial devices to mechan- Alessandro Antonini2 ical stress is critical and fractures or electrode displacement may occur. We describe here a new Laura Spreafico2 recording device with stretchable properties based on Supersonic Cluster Beam Implantation Matteo Saini2 (SCBI) technology with high mechanical adaptability to displacement and movement. Results: The capability of SCBI-based multichannel electrodes to record brain electrical activity Francesco Noè 1 was compared to glass/silicon microelectrodes in acute in vitro experiments on the isolated guinea Camilla Alessi1 1 pig brain preparation. Field potentials and power frequency analysis demonstrated equal recording Laura Librizzi features for SCBI and standard electrodes. Chronic in vivo epidural implantation of the SCBI 1 Laura Uva electrodes confirmed excellent long-term recording properties in comparison to standard EEG fi 3 Carlo E sio Marras metal electrodes. Tissue biocompatibility was demonstrated by neuropathological evaluation of the 1 Marco de Curtis brain tissue 2 months after the implantation of the devices in the subarachnoid space. 2 Sandro Ferrari Conclusion: We confirm the biocompatibility of novel SCBI-based stretchable electrode devices 1Unit of Epileptology, Fondazione IRCCS and demonstrate their suitability for recording electrical brain activity in pre-clinical settings.
    [Show full text]
  • Control of Speed and Direction with Calcium Signals from Brainstem Reticulospinal Neurons
    6th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) June 26-29, 2016. UTown, Singapore Interfacing a Salamander Brain with a Salamander-like Robot: Control of Speed and Direction with Calcium Signals from Brainstem Reticulospinal Neurons Dimitri Ryczko, Robin Thandiackal, Auke J. Ijspeert, Member, IEEE Abstract— An important topic in designing neuroprosthetic locomotion with BMIs, some authors proposed to use signals devices for animals or patients with spinal cord injury is to find of the primary motor cortex and somatosensory areas the right brain regions with which to interface the device. In recorded with implanted electrodes from monkeys during vertebrates, an interesting target could be the reticulospinal walking to control a biped robot/lower limb exoskeleton [9]. (RS) neurons, which play a central role in locomotor control. Other proposed to use recordings of the fronto-parietal These brainstem cells convey the locomotor commands to the cortical networks obtained with scalp electroencephalography spinal locomotor circuits that in turn generate the complex in humans during walking [15]. A study proposed to use patterns of muscle contractions underlying locomotor primary motor cortex recordings obtained during forelimb movements. The RS neurons receive direct input from the walking to control electrical stimulation of the hindlimb Mesencephalic Locomotor Region (MLR), which controls muscles in spinalized rats [12]. Finally another study locomotor initiation, maintenance, and termination, as well as proposed to use electromyographic recordings of the forelimb locomotor speed. In addition, RS neurons convey turning to control electrical stimulation of the lumbosacral spinal commands to the spinal cord. In the context of interfacing neural networks and robotic devices, we explored in the present cord, in order to activate the spinal locomotor circuits study whether the activity of salamander RS neurons could be controlling the hindlimbs [13].
    [Show full text]
  • The Culture‐Bound Brain
    THEORIA, 2020 doi:10.1111/theo.12264 The Culture-Bound Brain: Epigenetic Proaction Revisited by KATHINKA EVERS Centre for Research Ethics & Bioethics (CRB), Uppsala University, Sweden Abstract: Progress in neuroscience – notably, on the dynamic functions of neural networks – has deepened our understanding of decision-making, acquisition of character and temperament, and the development of moral dispositions. The evolution of our cerebral architecture is both genetic and epigenetic: the nervous system develops in continuous interaction with the immediate physical and socio-cultural environments. Each individual has a unique cerebral identity even in the relative absence of genetic distinction, and the development of this identity is strongly influenced by social and cultural environments leaving major traces in the connectivity of the brain. This interaction introduces important elements of variability and plasticity. Synaptic epigenetic theories of cultural and social imprinting on our brain architecture suggest the possibility that we can be “epigeneti- cally proactive” and adapt our social structures, in both the short and the long term, to benefit and constructively interact with the ever-developing neuronal architecture of our brains. Epigenetic proaction can be described as a way to socially steer evolution by influencing the cultural imprints to be stored in our brains. The purpose of this article is to present, in a historical and ideological light, the idea that we may culturally shape the developing brain, and discuss some key risks and benefits of this endeavour. The article is a contribution to neuroethics. Keywords: synaptic epigenesis, cultural imprinting, epigenetic proaction, neuroethics 1. Introduction THE STRUCTURES OF SOCIETIES and cultures are importantly shaped by the structures of brains.
    [Show full text]
  • The Discovery of the Enhancer Regulation in the Mammalian Brain and the Development of the Synthetic Enhancer Substances
    THE DISCOVERY OF THE ENHANCER REGULATION IN THE MAMMALIAN BRAIN AND THE DEVELOPMENT OF THE SYNTHETIC ENHANCER SUBSTANCES A chance to significantly improve the quality and prolong the duration of human life Joseph Knoll International Network for the History of Neuropsychopharmacology 2016 CONTENT INTRODUCTION PART 1 INDICATIONS OF THE KEY ROLE OF (-)-DEPRENYL (DEP) IN THE DISCOVERY OF THE ENHANCER REGULATION IN THE MAMMALIAN BRAIN 1.1 The origin of the “enhancer-regulation” concept 1.2. Development of (-)-deprenyl (DEP) the first selective inhibitor of B-type monoamine oxidase (MAO-B) and the first catecholaminergic activity enhancer (CAE) substance 1.3. Congruous data conforming to the concept that quality and duration of mammalian life rests primarily upon the inborn efficiency of the catecholaminergic neurons, “the engine of the brain” 1.4. Positive proof by DEP that a catecholaminergic activity enhancer (CAE) regulation works in the catecholaminergic neurons 1.5. Confirmation that β-phenylethylamine (PEA), the parent compound of methamphetamine (MET) and DEP, is primarily a native CAE substance and in high concentrations only a releaser of catecholamines from their intraneuronal pools 1.6. Primary evidence for the continuous tense excitement in the enhancer-sensitive catecholaminergic and serotonergic neurons at the developmental (uphill) period of life, from weaning until sexual maturity 1.7. How sexual hormones return the significantly enhanced catecholaminergic and serotonergic activity, characteristic to the uphill period of life, to the pre-weaning level, thus terminating the developmental phase of life 1.8. First evidence supporting the unique beneficial CAE effect of DEP in humans: DEP- treatment of de novo parkinsonians significantly delayed the need for levodopa therapy (DATATOP Study 1987-1992) 1.9.
    [Show full text]
  • An RNA-Sequencing Transcriptome and Splicing Database of Glia, Neurons, and Vascular Cells of the Cerebral Cortex
    The Journal of Neuroscience, September 3, 2014 • 34(36):11929–11947 • 11929 Cellular/Molecular An RNA-Sequencing Transcriptome and Splicing Database of Glia, Neurons, and Vascular Cells of the Cerebral Cortex Ye Zhang,1* Kenian Chen,2,3* Steven A. Sloan,1* Mariko L. Bennett,1 Anja R. Scholze,1 Sean O’Keeffe,4 Hemali P. Phatnani,4 XPaolo Guarnieri,7,9 Christine Caneda,1 Nadine Ruderisch,5 Shuyun Deng,2,3 Shane A. Liddelow,1,6 Chaolin Zhang,4,7,8 Richard Daneman,5 Tom Maniatis,4 XBen A. Barres,1† and XJia Qian Wu2,3† 1Department of Neurobiology, Stanford University School of Medicine, Stanford, California 94305-5125, 2The Vivian L. Smith Department of Neurosurgery, University of Texas Medical School at Houston, Houston, Texas 77057, 3Center for Stem Cell and Regenerative Medicine, University of Texas Brown Institute of Molecular Medicine, Houston, Texas 77057, 4Department of Biochemistry and Molecular Biophysics, Columbia University Medical Center, New York, New York 10032, 5Department of Anatomy, University of California, San Francisco, San Francisco, California 94143-0452, 6Department of Pharmacology and Therapeutics, University of Melbourne, Parkville, Victoria, Australia 3010, and 7Department of Systems Biology, 8Center for Motor Neuron Biology and Disease, and 9Herbert Irving Comprehensive Cancer Center, Columbia University, New York, New York 10032 The major cell classes of the brain differ in their developmental processes, metabolism, signaling, and function. To better understand the functions and interactions of the cell types that comprise these classes, we acutely purified representative populations of neurons, astrocytes, oligodendrocyte precursor cells, newly formed oligodendrocytes, myelinating oligodendrocytes, microglia, endothelial cells, and pericytes from mouse cerebral cortex.
    [Show full text]
  • D2.2 Title: Contribution to Roadmap
    BNCI Horizon 2020 FP7-ICT-2013-10 609593 Nov 2013–Apr 2015 Deliverable: D2.2 Title: Contribution to roadmap Work package: WP2 Due: M9 Type: X PU1 PP2 RE3 CO4 Main author: Mariska van Steensel (UMCU) Gert Kristo (UMCU) Other authors: Ruben Real, Maria Laura Blefari, Clemens Brunner, Benjamin Blankertz, Johannes Höhne, Rupert Ortner, Boris Reuderink, Nick Ramsey Abstract: This deliverable contains a contribution to the roadmap from the research perspective. The first contribution is a state of the art on BCI paradigms, BCI hardware, BCI signal processing, invasive BCIs and synergies. The second contribution is a first and preliminary report of the Researchers’ Questionnaire. Keywords: State of the Art, Questionnaire ---------------- 1 Public 2 Restricted to other program participants 3 Restricted to a group specified by the consortium 4 Confidential, only for members of the consortium Table of Contents 1. Introduction 2. Methods 2.1 Specific State of the Art - Research 2.2 Researchers’ Questionnaire 3. Roadmap contribution- Specific State of the Art - Research 1. BCI concepts and paradigms (WUE, UT, FPING) 1.1 Control signals 1.2 Exogenous and endogenous BCIs 1.3 Performance 1.4 Challenges 1.5 References 2. BCI data processing (Berlin, EPFL) 2.1 Increasing performance 2.1.1 Feature extraction 2.1.2 Multimodal feature extraction 2.2 Increasing applicability 2.2.1 Addressing non-stationarity 2.2.2 Improving sensors 2.2.3 Reducing calibration time 2.3 Increasing interpretability 2.4 References 3. BCI hardware (Graz, TUB, EPFL) 3.1 EEG 3.1.1 Current issues and limitations 3.2 MEG 3.2.1.
    [Show full text]
  • Infiltrating Monocytes Promote Brain Inflammation and Exacerbate
    Infiltrating monocytes promote brain inflammation and PNAS PLUS exacerbate neuronal damage after status epilepticus Nicholas H. Varvela,1, Jonas J. Neherb,c, Andrea Boschb,c, Wenyi Wanga, Richard M. Ransohoffd, Richard J. Millere, and Raymond Dingledinea aDepartment of Pharmacology, Emory University School of Medicine, Atlanta, GA 30322; bDepartment of Cellular Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, 72076 Tuebingen, Germany; cGerman Center for Neurodegenerative Diseases, 72076 Tuebingen, Germany; dNeuro/ immunology Discovery Biology, Biogen, Cambridge, MA 02142; and eDepartment of Pharmacology, Northwestern University, Chicago, IL 60611 Edited by Solomon H. Snyder, Johns Hopkins University School of Medicine, Baltimore, MD, and approved July 29, 2016 (received for review March 14, 2016) The generalized seizures of status epilepticus (SE) trigger a series of subsequently contribute to the neuroimmune response in asso- molecular and cellular events that produce cognitive deficits and ciation with microglia (11, 12). Peripheral monocytes are known can culminate in the development of epilepsy. Known early events to enter the brain after traumatic brain injury and contribute to include opening of the blood–brain barrier (BBB) and astrocytosis neuronal injury (13), and they play a similar role in multiple sclerosis accompanied by activation of brain microglia. Whereas circulating mouse models (14, 15). In the experimental autoimmune encepha- monocytes do not infiltrate the healthy CNS, monocytes can enter lomyelitis (EAE) rodent model of multiple sclerosis, gene-expression the brain in response to injury and contribute to the immune re- profiles indicate that infiltrating monocytes are highly inflammatory sponse. We examined the cellular components of innate immune in- compared with microglia.
    [Show full text]
  • Proximal Threats Promote Enhanced Acquisition and Persistence of Reactive Fear-Learning Circuits
    Proximal threats promote enhanced acquisition and persistence of reactive fear-learning circuits Leonard Faula,1, Daniel Stjepanovica,b,1, Joshua M. Stiversa, Gregory W. Stewarta, John L. Granera, Rajendra A. Moreyc, and Kevin S. LaBara,c,2 aDepartment of Psychology & Neuroscience, Duke University, Durham, NC 27708; bCentre for Youth Substance Abuse Research, The University of Queensland, St Lucia, QLD 4072, Australia; and cDepartment of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC 27710 Edited by Joseph E. LeDoux, New York University, New York, NY, and approved June 1, 2020 (received for review March 6, 2020) Physical proximity to a traumatic event increases the severity of similar set of regions initially active during the learning period accompanying stress symptoms, an effect that is reminiscent of (9, 10). evolutionarily configured fear responses based on threat immi- The development of neurocognitive models for conditioned nence. Despite being widely adopted as a model system for stress fear learning provides a promising means to better understand and anxiety disorders, fear-conditioning research has not yet char- psychiatric symptoms of threat hypersensitivity and fear persis- acterized how threat proximity impacts the mechanisms of fear tence, as exemplified by posttraumatic stress disorder (PTSD) acquisition and extinction in the human brain. We used three- (11, 12). However, most fear-conditioning studies rely on brief dimensional (3D) virtual reality technology to manipulate the ego- presentations of images or sounds as conditioned stimuli, a centric distance of conspecific threats while healthy adult partici- method that is well-suited for the constraints of traditional re- pants navigated virtual worlds during functional magnetic search settings but difficult to generalize to many real-life trau- resonance imaging (fMRI).
    [Show full text]