S Moslehi, C Rowland, J H Smith, W J Watterson, W Griffiths, R D Montgomery, S Philliber, C A Marlow, M-T Perez, R P Taylor
{"title":"Fractal Electronics for Stimulating and Sensing Neural Networks: Enhanced Electrical, Optical, and Cell Interaction Properties.","authors":"S Moslehi, C Rowland, J H Smith, W J Watterson, W Griffiths, R D Montgomery, S Philliber, C A Marlow, M-T Perez, R P Taylor","doi":"10.1007/978-3-031-47606-8_43","DOIUrl":"10.1007/978-3-031-47606-8_43","url":null,"abstract":"<p><p>Imagine a world in which damaged parts of the body - an arm, an eye, and ultimately a region of the brain - can be replaced by artificial implants capable of restoring or even enhancing human performance. The associated improvements in the quality of human life would revolutionize the medical world and produce sweeping changes across society. In this chapter, we discuss several approaches to the fabrication of fractal electronics designed to interface with neural networks. We consider two fundamental functions - stimulating electrical signals in the neural networks and sensing the location of the signals as they pass through the network. Using experiments and simulations, we discuss the favorable electrical performances that arise from adopting fractal rather than traditional Euclidean architectures. We also demonstrate how the fractal architecture induces favorable physical interactions with the cells they interact with, including the ability to direct the growth of neurons and glia to specific regions of the neural-electronic interface.</p>","PeriodicalId":7360,"journal":{"name":"Advances in neurobiology","volume":"36 ","pages":"849-875"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140100787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gillian Imrie, Madison B Gray, Vishnuvasan Raghuraman, Isabella Farhy-Tselnicker
{"title":"Gene Expression at the Tripartite Synapse: Bridging the Gap Between Neurons and Astrocytes.","authors":"Gillian Imrie, Madison B Gray, Vishnuvasan Raghuraman, Isabella Farhy-Tselnicker","doi":"10.1007/978-3-031-64839-7_5","DOIUrl":"10.1007/978-3-031-64839-7_5","url":null,"abstract":"<p><p>Astrocytes, a major class of glial cells, are an important element at the synapse where they engage in bidirectional crosstalk with neurons to regulate numerous aspects of neurotransmission, circuit function, and behavior. Mutations in synapse-related genes expressed in both neurons and astrocytes are central factors in a vast number of neurological disorders, making the proteins that they encode prominent targets for therapeutic intervention. Yet, while the roles of many of these synaptic proteins in neurons are well established, the functions of the same proteins in astrocytes are largely unknown. This gap in knowledge must be addressed to refine therapeutic approaches. In this chapter, we integrate multiomic meta-analysis and a comprehensive overview of current literature to show that astrocytes express an astounding number of genes that overlap with the neuronal and synaptic transcriptomes. Further, we highlight recent reports that characterize the expression patterns and potential novel roles of these genes in astrocytes in both physiological and pathological conditions, underscoring the importance of considering both cell types when investigating the function and regulation of synaptic proteins.</p>","PeriodicalId":7360,"journal":{"name":"Advances in neurobiology","volume":"39 ","pages":"95-136"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142071750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Intracranial Pressure and Its Related Parameters in the Management of Severe Pediatric Traumatic Brain Injury.","authors":"Vincent Y Wang","doi":"10.1007/978-3-031-69832-3_1","DOIUrl":"https://doi.org/10.1007/978-3-031-69832-3_1","url":null,"abstract":"<p><p>There are a number of challenges in the management of acute traumatic brain injuries in children. Beyond their relatively broad age range, which spans neonates to late adolescence, these children may likewise present with coexisting injuries. Thus, their management often necessitates a multidisciplinary team, who coordinate medical/surgical management during their hospitalization in the intensive care unit, as well as specialists in pediatric neurology and rehabilitation during postoperative recovery. Here we address standard of care for acute management, based upon established guidelines and focusing on intracranial pressure, cerebral perfusion pressure, and autoregulation. We also consider the controversies related to monitoring intracranial pressure and methods for sedation and treatment.</p>","PeriodicalId":7360,"journal":{"name":"Advances in neurobiology","volume":"42 ","pages":"3-19"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142455762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modulatory Processes in Craniofacial Pain States.","authors":"Barry J Sessle","doi":"10.1007/978-3-031-45493-6_6","DOIUrl":"10.1007/978-3-031-45493-6_6","url":null,"abstract":"<p><p>Pain is a common symptom associated with many disorders affecting the craniofacial tissues that include the teeth and their supporting structures, the jaw, face and tongue muscles, and the temporomandibular joint. Most acute craniofacial pain states are easily recognized and readily treated, but chronic craniofacial pain states (e.g., temporomandibular disorders [TMD], trigeminal neuropathies, and some headaches) may be especially challenging to manage successfully. This chapter provides an overview of the processes that underlie craniofacial pain, with a focus on the pain-modulatory mechanisms operating in craniofacial tissues and in the central nervous system (CNS), including the role of endogenous chemical processes such as those involving opioids. The chapter outlines in particular findings from preclinical studies that have provided substantial information about the neural as well as nonneural (e.g., glial) processes involved in the initiation, transmission, and modulation of nociceptive signals in the trigeminal system, and also draws attention to their clinical correlates. The increased understanding gained from these preclinical studies of how nociceptive signals can be modulated will contribute to improvements in presently available therapeutic approaches to manage craniofacial pain as well as to the development of novel analgesic approaches.</p>","PeriodicalId":7360,"journal":{"name":"Advances in neurobiology","volume":"35 ","pages":"107-124"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141316489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Physical Exercise as an Intervention for Depression: Evidence for Efficacy and Mu-Opioid Receptors as a Mechanism of Action.","authors":"Colleen Pettrey, Patrick L Kerr, T O Dickey","doi":"10.1007/978-3-031-45493-6_11","DOIUrl":"10.1007/978-3-031-45493-6_11","url":null,"abstract":"<p><p>Physical exercise is often cited as an important part of an intervention for depression, and there is empirical evidence to support this. However, the mechanism of action through which any potential antidepressant effects are produced is not widely understood. Recent evidence points toward the involvement of endogenous opioids, and especially the mu-opioid system, as a partial mediator of these effects. In this chapter, we discuss the current level of empirical support for physical exercise as either an adjunctive or standalone intervention for depression. We then review the extant evidence for involvement of endogenous opioids in the proposed antidepressant effects of exercise, with a focus specifically on evidence for mu-opioid system involvement.</p>","PeriodicalId":7360,"journal":{"name":"Advances in neurobiology","volume":"35 ","pages":"221-239"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141316491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Foundational Science of Endogenous Opioids and Their Receptors.","authors":"Simona Tache, Patrick L Kerr, Cristian Sirbu","doi":"10.1007/978-3-031-45493-6_2","DOIUrl":"10.1007/978-3-031-45493-6_2","url":null,"abstract":"<p><p>The function of endogenous opioids spans from initiating behaviors that are critical for survival, to responding to rapidly changing environmental conditions. A network of interconnected systems throughout the body characterizes the endogenous opioid system (EOS). EOS receptors for beta-endorphin, enkephalin, dynorphin, and endomorphin underpin the diverse functions of the EOS across biological systems. This chapter presents a succinct yet comprehensive summary of the structure of the EOS, EOS receptors, and their relationship to other biological systems.</p>","PeriodicalId":7360,"journal":{"name":"Advances in neurobiology","volume":"35 ","pages":"9-26"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141316495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Unveiling Transcriptional and Epigenetic Mechanisms Within Engram Cells: Insights into Memory Formation and Stability.","authors":"Miguel Fuentes-Ramos, Ángel Barco","doi":"10.1007/978-3-031-62983-9_7","DOIUrl":"https://doi.org/10.1007/978-3-031-62983-9_7","url":null,"abstract":"<p><p>Memory traces for behavioral experiences, such as fear conditioning or taste aversion, are believed to be stored through biophysical and molecular changes in distributed neuronal ensembles across various brain regions. These ensembles are known as engrams, and the cells that constitute them are referred to as engram cells. Recent advancements in techniques for labeling and manipulating neural activity have facilitated the study of engram cells throughout different memory phases, including acquisition, allocation, long-term storage, retrieval, and erasure. In this chapter, we will explore the application of next-generation sequencing methods to engram research, shedding new light on the contribution of transcriptional and epigenetic mechanisms to engram formation and stability.</p>","PeriodicalId":7360,"journal":{"name":"Advances in neurobiology","volume":"38 ","pages":"111-129"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141615649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Role of Prefrontal Ensembles in Memory Across Time: Time-Dependent Transformations of Prefrontal Memory Ensembles.","authors":"Zachary Zeidler, Laura DeNardo","doi":"10.1007/978-3-031-62983-9_5","DOIUrl":"https://doi.org/10.1007/978-3-031-62983-9_5","url":null,"abstract":"<p><p>The medial prefrontal cortex (mPFC) plays a critical role in recalling recent and remote fearful memories. Modern neuroscience techniques, such as projection-specific circuit manipulation and activity-dependent labeling, have illuminated how mPFC memory ensembles are reorganized over time. This chapter discusses the implications of new findings for traditional theories of memory, such as the systems consolidation theory and theories of memory engrams. It also examines the specific contributions of mPFC subregions, like the prelimbic and infralimbic cortices, in fear memory, highlighting how their distinct connections influence memory recall. Further, it elaborates on the cellular and molecular changes within the mPFC that support memory persistence and how these are influenced by interactions with the hippocampus. Ultimately, this chapter provides insights into how lasting memories are dynamically encoded in prefrontal circuits, arguing for a key role of memory ensembles that extend beyond strict definitions of the engram.</p>","PeriodicalId":7360,"journal":{"name":"Advances in neurobiology","volume":"38 ","pages":"67-78"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141615647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tushar D Yelhekar, Meizhen Meng, Joslyn Doupe, Yingxi Lin
{"title":"All IEGs Are Not Created Equal-Molecular Sorting Within the Memory Engram.","authors":"Tushar D Yelhekar, Meizhen Meng, Joslyn Doupe, Yingxi Lin","doi":"10.1007/978-3-031-62983-9_6","DOIUrl":"10.1007/978-3-031-62983-9_6","url":null,"abstract":"<p><p>When neurons are recruited to form the memory engram, they are driven to activate the expression of a series of immediate-early genes (IEGs). While these IEGs have been used relatively indiscriminately to identify the so-called engram neurons, recent research has demonstrated that different IEG ensembles can be physically and functionally distinct within the memory engram. This inherent heterogeneity of the memory engram is driven by the diversity in the functions and distributions of different IEGs. This process, which we call molecular sorting, is analogous to sorting the entire population of engram neurons into different sub-engrams molecularly defined by different IEGs. In this chapter, we will describe the molecular sorting process by systematically reviewing published work on engram ensemble cells defined by the following four major IEGs: Fos, Npas4, Arc, and Egr1. By comparing and contrasting these likely different components of the memory engram, we hope to gain a better understanding of the logic and significance behind the molecular sorting process for memory functions.</p>","PeriodicalId":7360,"journal":{"name":"Advances in neurobiology","volume":"38 ","pages":"81-109"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141615624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Emergence of the Hippocampus as a Vector for Goal-Directed Spatial Navigation.","authors":"Susumu Takahashi, Fumiya Sawatani, Kaoru Ide","doi":"10.1007/978-3-031-69188-1_2","DOIUrl":"https://doi.org/10.1007/978-3-031-69188-1_2","url":null,"abstract":"<p><p>The hippocampus, which is deeply involved in episodic memory, plays a pivotal role in spatial navigation, an essential animal behavior. Spatial navigation requires the calculation of the distance and direction from a current to the final position, i.e., a vector to a goal. Place cells in the mammalian hippocampus maximally increase their firing rates when the animal passes a particular location and then encode the animal's current location. The entorhinal cortex, one synapse upstream of the hippocampus, contains both grid and head direction cells that encode distance and direction information, respectively. However, the question of whether the hippocampus generates a vector for goal-directed navigation during the integration of distance and direction to the destination remains unclear. Mounting evidence of the cell types involved in spatial navigation has been obtained mainly in mammalian model animals such as rats and mice. Recent advances in wireless and miniaturized neural activity monitoring devices have begun to yield results not only in model organisms but also in wild mammals, birds, fish, and insects. A scrutiny of the literature examining neural correlates of spatial navigation across multiple animal species reveals that few place cells or grid cells have been found, but that head direction cells are commonly present in multiple animal species. Exceptionally, rodent-like place cells were only found in the medial pallium of tufted titmice, a food-caching bird. The medial pallium is an avian brain region homologous to the mammalian hippocampus. By contrast, rodent-like head direction cells are found in the medial pallium of quails. Head direction cells are also found in the medial pallium of streaked shearwaters, a migratory bird. The avian hippocampus contains information about the animal's current location or direction, but the neural encoding may differ depending on the ecological characteristics of the bird species. The place cells of bats, which are mammals, fly in three-dimensional space and encode vectorial information toward the goal. Training rats with an ingenious task that required them to choose a direction for each run in a maze suggested that place cells encode a vector for goal-directed spatial navigation. Thus, the scrutiny of the literature on spatial navigation-related neuronal activity across multiple animal species suggests that depending on a combination of external conditions such as the context in which the animal is situated (e.g., the context or the framework composed of landmarks in the environment) and internal conditions such as the ecological and behavioral characteristics of the animal, hippocampal neurons can be identified as place cells or head direction cells. We thus propose a conjecture that primitively, the hippocampus, or its homolog, contains information about the travel direction and that the emergence of the hippocampus during evolution has enabled the generation of vector information to the go","PeriodicalId":7360,"journal":{"name":"Advances in neurobiology","volume":"41 ","pages":"39-61"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142714851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}