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1

Toshihide, Ibaraki, ed. Algorithmic aspects of graph connectivity. Cambridge University Press, 2008.

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2

Nagamochi, Hiroshi. Algorithmic aspects of graph connectivity. Cambridge University Press, 2008.

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3

NATO Advanced Study on Propagation of Correlations in Constrained Systems (1990 Cargèse, France). Correlations and connectivity: Geometric aspects of physics, chemistry, and biology. Kluwer Academic Publishers, 1990.

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4

Martin, Gary E. Two-dimensional NMR methods for establishing molecular connectivity: A chemist's guide to experiment selection, performance, and interpretation. VCH Publishers, 1988.

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5

Algorithmic Aspects of Graph Connectivity. Cambridge University Press, 2019.

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6

Chen, Robert, and john rothwell. Cortical Connectivity. Springer, 2012.

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7

Chen, Robert, and john rothwell. Cortical Connectivity: Brain Stimulation for Assessing and Modulating Cortical Connectivity and Function. Springer, 2012.

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8

Chen, Robert, and john rothwell. Cortical Connectivity: Brain Stimulation for Assessing and Modulating Cortical Connectivity and Function. Springer, 2014.

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9

Nieto-Castanon, Alfonso. Handbook of Functional Connectivity Magnetic Resonance Imaging Methods in CONN. Hilbert Press, 2020.

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10

Methods in Brain Connectivity Inference Through Multivariates Time Series Analysis. Taylor & Francis Group, 2014.

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11

Sameshima, Koichi, and Luiz Antonio Baccala, eds. Methods in Brain Connectivity Inference through Multivariate Time Series Analysis. CRC Press, 2016. http://dx.doi.org/10.1201/b16550.

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12

(Editor), Viktor K. Jirsa, and A. R. McIntosh (Editor), eds. Handbook of Brain Connectivity (Understanding Complex Systems). Springer, 2007.

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13

Bestmann, Sven, Christian C. Ruff, Jon Driver, and Felix Blankenburg. Concurrent TMS and functional magnetic resonance imaging: methods and current advances. Edited by Charles M. Epstein, Eric M. Wassermann, and Ulf Ziemann. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780198568926.013.0036.

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Transcranial magnetic stimulation is used for a wide range of applications in cognitive, clinical, and neuroscience. However, the precise physiological mechanisms by which TMS influences brain function are only partially understood. Combining TMS with functional magnetic resonance imaging (fMRI) provides a more complete picture of the neural underpinnings of TMS effects. This article gives an overview of methodology and technical aspects concerned with combining TMS with fMRI. Furthermore, it explains the challenges involved with the combination of TMS with fMRI and proposes solutions to the s
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14

Astofli, Laura, and Fabio Bablioni. Advanced Signal Processing Techniques for the Estimation of Cortical Connectivity in Humans (Synthesis Lectures on Biomedical Engineering). Not Avail, 2008.

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15

Marko, Peter B., and Michael W. Hart, eds. Genetic Analysis of Larval Dispersal, Gene Flow, and Connectivity. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198786962.003.0012.

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Does the dispersal of planktonic larvae promote strong connections between marine populations? Here we describe some of the most commonly used population- and individual-based genetic methods that have enhanced our understanding of larval dispersal and marine connectivity. Both approaches have strengths and weaknesses. Choosing between them depends on whether researchers want to know about average effective rates of connectivity over long timescales (over hundreds to thousands of generations) or recent patterns of connectivity on shorter timescales (one to two generations). The use of both app
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16

Ilmoniemi, Risto J., and Jari Karhu. TMS and electroencephalography: methods and current advances. Edited by Charles M. Epstein, Eric M. Wassermann, and Ulf Ziemann. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780198568926.013.0037.

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Electroencephalography (EEG) combined with transcranial magnetic stimulation (TMS) provides detailed real-time information about the state of the cortex. EEG requires only two to four electrodes and can be a part of most TMS studies. When used with magnetic resonance imaging (MRI) based targeting and conductor modelling, the TMS-EEG combination is a sophisticated brain-mapping tool. This article explains the mechanisms of TMS-evoked EEG. It describes the technique of recording TMS evoked EEG and the possible challenges for the same. Furthermore, it describes possible solutions to these challen
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17

Trotter, David. The Literature of Connection. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198850472.001.0001.

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This book is about some of the ways in which the world got ready to be connected, long before the advent of the technologies and the concentrations of capital necessary to implement a global ‘network society’. It investigates the prehistory not of the communications ‘revolution’ brought about by advances in electronic digital computing from 1950 onwards, but of the principle of connectivity which was to provide that revolution with its justification and rallying cry. Connectivity’s core principle is that what matters most in any act of telecommunication, and sometimes all that matters, is the
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18

Michel, Christoph M., and Bin He. EEG Mapping and Source Imaging. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0045.

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This chapter describes methods to analyze the scalp electric field recorded with multichannel electroencephalography (EEG). With advances in high-density EEG, systems now allow fast and easy recording from 64 to 256 channels simultaneously. Pattern-recognition algorithms can characterize the topography of scalp electric fields and detect changes in topography over time and between experimental or clinical conditions. Methods for estimating the sources underlying the recorded scalp potential maps have increased the spatial resolution of EEG. The use of anatomical information in EEG source recon
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19

Wendling, Fabrice, Marco Congendo, and Fernando H. Lopes da Silva. EEG Analysis. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0044.

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This chapter addresses the analysis and quantification of electroencephalographic (EEG) and magnetoencephalographic (MEG) signals. Topics include characteristics of these signals and practical issues such as sampling, filtering, and artifact rejection. Basic concepts of analysis in time and frequency domains are presented, with attention to non-stationary signals focusing on time-frequency signal decomposition, analytic signal and Hilbert transform, wavelet transform, matching pursuit, blind source separation and independent component analysis, canonical correlation analysis, and empirical mod
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20

Greenberg, Jessica. Jurisdiction, Politics, and Truth-Making. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198795582.003.0020.

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This chapter suggests that the authority framework allows one to see resonances across seemingly disparate spaces and thus to participate in a shared project for understanding important international institutions. At the same time, by focusing on degrees of authority, one can also speak to the specificities of people’s experiences and encounters with justice. In this spirit of interdisciplinary and comparative methods, the chapter takes the categories of analysis that emerge from the authority framework and puts them into conversation with some key categories in legal anthropology. In so doing
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21

Beaty, Roger E., and Rex E. Jung. Interacting Brain Networks Underlying Creative Cognition and Artistic Performance. Edited by Kalina Christoff and Kieran C. R. Fox. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190464745.013.10.

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Cognitive neuroscience research has begun to address the potential interaction of brain networks supporting creativity by employing new methods in brain network science. Network methods offer a significant advance compared to individual region of interest studies due to their ability to account for the complex and dynamic interactions among discrete brain regions. As this chapter demonstrates, several recent studies have reported a remarkably similar pattern of brain network connectivity across a range of creative tasks and domains. In general, such work suggests that creative thought may invo
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22

Gullón, Pedro, and Gina S. Lovasi. Designing Healthier Built Environments. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190843496.003.0008.

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The “built environment” is comprised of human-made structures and systems, and aspects include access to and attractiveness of walkable destinations (e.g., retail stores, parks) and community design features (e.g., street connectivity, sidewalk access). A variety of built environment characteristics can influence health outcomes and behaviors, including physical activity, obesity, type 2 diabetes, hypertension, and mental health, as well as sleep and use of tobacco and alcohol. This chapter discusses the large and complex accumulated research on the built environment as well as the methods use
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23

Papanicolaou, Andrew C., ed. The Oxford Handbook of Functional Brain Imaging in Neuropsychology and Cognitive Neurosciences. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199764228.001.0001.

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A large part of the contemporary literature involves functional neuroimaging. Yet few readers are sufficiently familiar with the various imaging methods, their capabilities and limitations, to appraise it correctly. To fulfill that need is the purpose of this Handbook, which consists of an accessible description of the methods and their clinical and research applications. The Handbook begins with an overview of basic concepts of functional brain imaging, magnetoencephalography and the use of magnetic source imaging (MSI), positron emission tomography (PET), diffusion tensor imaging (DTI), and
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24

Dowd, Cate. Digital Journalism, Drones, and Automation. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190655860.001.0001.

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Advances in online technology and news systems, such as automated reasoning across digital resources and connectivity to cloud servers for storage and software, have changed digital journalism production and publishing methods. Integrated media systems used by editors are also conduits to search systems and social media, but the lure of big data and rise in fake news have fragmented some layers of journalism, alongside investments in analytics and a shift in the loci for verification. Data has generated new roles to exploit data insights and machine learning methods, but access to big data and
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25

Lincoln, James R., and Matthew Sargent. Business Groups as Networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198717973.003.0004.

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This chapter explores how business groups can be viewed as networks; whether and how some groups are more “network-like” than others; and how formal network concepts and analytic methods may facilitate the study of a number of salient problems in business-group research. Much of the business-group literature treats a firm’s affiliation with a group as an “all or nothing” dichotomy. The network lens, however, forces the analyst to unpack the coarse dichotomy of “group” and “stand-alone” into an array of constituent relations, equivalences, and complementarities, which can in turn be mapped to o
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26

Selverston, Allen. Rhythms and oscillations. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0021.

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The study of identifiable neurons, a common feature of invertebrate nervous systems, has made it possible to construct a detailed cell-to-cell connectivity map using electrophysiological methods that can inspire the design of biomimetic systems. This chapter describes how the analysis of the neural circuitry in the lobster stomatogastric ganglion (STG) has provided some general principles underlying oscillatory and rhythmic behavior in all animals. The rhythmic and oscillatory patterns produced by the two STG central pattern generating (CPG) circuits are a result of two cooperative mechanisms,
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27

Roberts, Timothy P. L., and Luke Bloy. Neuroimaging in Pediatric Psychiatric Disorders. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0060.

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Noninvasive imaging and electrophysiological techniques have been developed to probe specific aspects of brain function and dysfunction, providing exquisite spatial maps of functional centers and temporal characteristics. The evolution of these techniques has advanced from single-modality methods identifying functional localization, specialization and segregation, through real-time measures of neuronal activity, toward multimodality integration of structural, functional, and spectro-temporal approaches. While these have an immediate impact in conditions where physical brain lesions are evident
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28

Ramani, Ramachandran, ed. Functional MRI. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190297763.001.0001.

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Functional MRI with BOLD (Blood Oxygen Level Dependent) imaging is one of the commonly used modalities for studying brain function in neuroscience. The underlying source of the BOLD fMRI signal is the variation in oxyhemoglobin to deoxyhemoglobin ratio at the site of neuronal activity in the brain. fMRI is mostly used to map out the location and intensity of brain activity that correlate with mental activities. In recent years, a new approach to fMRI was developed that is called resting-state fMRI. The fMRI signal from this method does not require the brain to perform any goal-directed task; i
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29

Ross, John, Igor Schreiber, and Marcel O. Vlad. Determination of Complex Reaction Mechanisms. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780195178685.001.0001.

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In a chemical system with many chemical species several questions can be asked: what species react with other species: in what temporal order: and with what results? These questions have been asked for over one hundred years about simple and complex chemical systems, and the answers constitute the macroscopic reaction mechanism. In Determination of Complex Reaction Mechanisms authors John Ross, Igor Schreiber, and Marcel Vlad present several systematic approaches for obtaining information on the causal connectivity of chemical species, on correlations of chemical species, on the reaction pathw
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30

Jules-Rosette, Bennetta, and J. R. Osborn. African Art Reframed. University of Illinois Press, 2020. http://dx.doi.org/10.5622/illinois/9780252043277.001.0001.

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This book approaches the reframing of African art through dialogues with collectors, curators, and artists on three continents. It explores museum exhibitions, storerooms, artists’ studios, and venues for community outreach. Part One (Chapters 1-3) addresses the history of ethnographic and art museums, ranging from curiosity cabinets to modernist edifices and virtual websites. Museums are considered in terms of five transformational nodes, which contrast ways in which museums are organized and reach out to their audiences. Diverse groups of artists interact with museums at each node. Part Two
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31

Stamatakis, Emmanuel A., Eleni Orfanidou, and Andrew C. Papanicolaou. Functional Magnetic Resonance Imaging. Edited by Andrew C. Papanicolaou. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199764228.013.7.

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Functional magnetic resonance imaging (fMRI) is the most frequently used functional neuroimaging method and the one that accounts for most of the neuroimaging literature. It measures the blood oxygen level-dependent (BOLD) signal in different parts of the brain during rest and during task-induced activation of functional networks mediating basic and higher functions. A basic understanding of the various instruments and techniques of recording the hemodynamic responses of different brain regions and the manner in which we establish activation and connectivity patterns out of these responses is
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32

Wilde, Elisabeth A., Kareem W. Ayoub, and Asim F. Choudhri. Diffusion Tensor Imaging. Edited by Andrew C. Papanicolaou. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199764228.013.10.

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Diffusion tensor imaging (DTI) is a method of specifying and visualizing the functional integrity of white matter tracts that contribute to the functional and structural connectivity among different brain regions through the examination of water diffusion through tissue. It has gained rapid popularity in the past two decades, particularly for elucidating the process of normal white matter development and the effects of aging on it, as well as providing some insights into the possible neuroanatomical correlates of numerous psychiatric and neurologic disorders. This chapter outlines the instrume
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33

1935-, Lasker G. E., International Institute for Advanced Studies in Systems Research and Cybernetics., and International Conference on Systems Research, Informatics, and Cybernetics. (9th : 1997 : Baden-Baden, Germany), eds. Advances in artificial intelligence and engineering cybernetics: Systems logic and neural networks, theory and applications of AI methods, present status of general system theory, formal representation of meaning in natural languages, inductive and deductive reasoning logic, dynamic fuzzy sets and fuzzy control, multiple valued stepwise logic networks, computer animated actors with intelligent agents, neural activity and synaptic connectivity in neural networks, information coding and neural computing, modelling by neural networks, engineering applications of artificial neural networks /cedited by George E. Lasker. International Institute for Advanced Studies in Systems Research and Cybernetics, 1998.

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