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NeuroImage 15건

  1. [해외논문]   Editorial Board  


    NeuroImage v.160 ,pp. IFC , 2017 , 1053-8119 ,

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  2. [해외논문]   Editorial Board   SCI SCIE SCOPUS


    NeuroImage v.160 ,pp. IFC - IFC , 2017 , 1053-8119 ,

    초록

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    무료다운로드 유료다운로드

    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  3. [해외논문]   Functional architecture of the human brain   SCI SCIE SCOPUS

    Zalesky, Andrew (Melbourne Neuropsychiatry Centre and Department of Biomedical Engineering, The University of Melbourne, Australia ) , Keilholz, Shella D (Department of Biomedical Engineering, Emory University/Georgia Tech, Atlanta, USA ) , van den Heuvel, M.P. (Brain Center Rudolf Magnus, University Medical Center Utrecht, University Utrecht, The Netherlands)
    NeuroImage v.160 ,pp. 1 - 1 , 2017 , 1053-8119 ,

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  4. [해외논문]   The emergence of functional architecture during early brain development   SCI SCIE SCOPUS

    Keunen, Kristin (Department of Neonatology, Division Woman and Baby, University Medical Center Utrecht, Lundlaan 6, P.O. box 85090, 3508 AB Utrecht, Netherlands ) , Counsell, Serena J. (Centre for the Developing Brain, Division of Imaging Sciences & Biomedical Engineering, King's College London, St Thomas Hospital, London, SE1 7EH, United Kingdom ) , Benders, Manon J.N.L. (Department of Neonatology, Division Woman and Baby, University Medical Center Utrecht, Lundlaan 6, P.O. box 85090, 3508 AB Utrecht, Netherlands)
    NeuroImage v.160 ,pp. 2 - 14 , 2017 , 1053-8119 ,

    초록

    Abstract Early human brain development constitutes a sequence of intricate processes resulting in the ontogeny of functionally operative neural circuits. Developmental trajectories of early brain network formation are genetically programmed and can be modified by epigenetic and environmental influences. Such alterations may exert profound effects on neurodevelopment, potentially persisting throughout the lifespan. This review focuses on the critical period of fetal and early postnatal brain development. Here we collate findings from neuroimaging studies, with a particular focus on functional MRI research that interrogated early brain network development in both health and high-risk or disease states. First, we will provide an overview of the developmental processes that take place from the embryonic period through early infancy in order to contextualize brain network formation. Second, functional brain network development in the typically developing brain will be discussed. Third, we will touch on prenatal and perinatal risk factors that may interfere with the trajectories of functional brain wiring, including prenatal substance exposure, maternal mental illness and preterm birth. Collectively, studies have revealed the blueprint of adult human brain organization to be present in the neonatal brain. Distinct attributes of human brain architecture have even been detected in the developing fetal brain from as early as 24 postconceptional weeks. During postnatal brain development, the brain's wiring pattern is further sculpted and modulated to become the full facsimile of the adult human brain, with functional brain network refinement being more rigorous than structural brain network maturation. Advances in neuroimaging techniques have paved the way towards a comprehensive understanding of the maturational pathways of brain network development and of how early developmental adversity may affect these trajectories. Such insights are fundamental for our understanding of human brain functioning, for early identification of infants at risk, as well as for future neuroprotective strategies. Highlights Interhemispheric functional coupling has been noted in the fetal brain from 24 PCW. The overall framework of mature brain wiring is established by the time of birth. Development of functional architecture follows a primary-to-higher order sequence. Prematurity disrupts long-range connectivity of primarily thalamocortical pathways. Prenatal substance exposure affects receptor regions and amygdala-frontal circuits.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  5. [해외논문]   Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature   SCI SCIE SCOPUS

    Grayson, David S. (The MIND Institute, University of California Davis, Sacramento, CA 95817, USA ) , Fair, Damien A. (Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR 97239, USA)
    NeuroImage v.160 ,pp. 15 - 31 , 2017 , 1053-8119 ,

    초록

    Abstract The development of human cognition results from the emergence of coordinated activity between distant brain areas. Network science, combined with non-invasive functional imaging, has generated unprecedented insights regarding the adult brain's functional organization, and promises to help elucidate the development of functional architectures supporting complex behavior. Here we review what is known about functional network development from birth until adulthood, particularly as understood through the use of resting-state functional connectivity MRI (rs-fcMRI). We attempt to synthesize rs-fcMRI findings with other functional imaging techniques, with macro-scale structural connectivity, and with knowledge regarding the development of micro-scale structure. We highlight a number of outstanding conceptual and technical barriers that need to be addressed, as well as previous developmental findings that may need to be revisited. Finally, we discuss key areas ripe for future research in order to (1) better characterize normative developmental trajectories, (2) link these trajectories to biologic mechanistic events, as well as component behaviors and (3) better understand the clinical implications and pathophysiological basis of aberrant network development. Highlights Reviews development of functional connectivity networks from birth until adulthood. Reviews trends in resting-state functional MR imaging (rs-fMRI) and network analysis. Synthesizes developmental rs-fMRI findings with structural connectivity and EEG/MEG. Suggests strategies to overcome limitations of rs-fMRI in developmental studies. Suggests approaches to interrogate neurodevelopmental disorders.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  6. [해외논문]   Effects of aging on functional and structural brain connectivity   SCI SCIE SCOPUS

    Damoiseaux, Jessica S. (Correspondence address: Dept. of Psychology and Institute of Gerontology, Wayne State University, 87 East Ferry St., Detroit, MI 48202, USA.)
    NeuroImage v.160 ,pp. 32 - 40 , 2017 , 1053-8119 ,

    초록

    Abstract Over the past decade there has been an enormous rise in the application of functional and structural connectivity approaches to explore the brain's intrinsic organization in healthy and clinical populations. The notion underlying the application of these approaches to study aging is that subtle age-related disruption of the brain's regional integrity and information flow across the brain, are expressed by age-related differences in functional and structural connectivity. In this review I will discus recent advances in our understanding of how age affects our brain's intrinsic organization, and I will share my perspective on potential challenges and future directions of the field. Highlights Overall lower within- and higher between-network connectivity in older adults. Less system segregation and lower “rich club” organization in older adults. Strong association between age-effect on structural and functional connectivity. Age-related connectivity changes appear to relate to cognitive decline.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  7. [해외논문]   The dynamic functional connectome: State-of-the-art and perspectives   SCI SCIE SCOPUS

    Preti, Maria Giulia (Institute of Bioengineering, Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland ) , Bolton, Thomas AW (Institute of Bioengineering, Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland ) , Van De Ville, Dimitri (Institute of Bioengineering, Center for Neuroprosthetics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland)
    NeuroImage v.160 ,pp. 41 - 54 , 2017 , 1053-8119 ,

    초록

    Abstract Resting-state functional magnetic resonance imaging (fMRI) has highlighted the rich structure of brain activity in absence of a task or stimulus. A great effort has been dedicated in the last two decades to investigate functional connectivity (FC), i.e. the functional interplay between different regions of the brain, which was for a long time assumed to have stationary nature. Only recently was the dynamic behaviour of FC revealed, showing that on top of correlational patterns of spontaneous fMRI signal fluctuations, connectivity between different brain regions exhibits meaningful variations within a typical resting-state fMRI experiment. As a consequence, a considerable amount of work has been directed to assessing and characterising dynamic FC (dFC), and several different approaches were explored to identify relevant FC fluctuations. At the same time, several questions were raised about the nature of dFC, which would be of interest only if brought back to a neural origin. In support of this, correlations with electroencephalography (EEG) recordings, demographic and behavioural data were established, and various clinical applications were explored, where the potential of dFC could be preliminarily demonstrated. In this review, we aim to provide a comprehensive description of the dFC approaches proposed so far, and point at the directions that we see as most promising for the future developments of the field. Advantages and pitfalls of dFC analyses are addressed, helping the readers to orient themselves through the complex web of available methodologies and tools. Highlights A great effort has been spent on dynamic functional connectivity characterization. We exhaustively describe existing approaches, their advantages and pitfalls. We discuss future analytical directions: frame-wise analysis and temporal modeling. Frame-wise analysis extracts the meaningful functional networks from events. Temporal modeling parameterizes brain dynamics in flexible and realistic manners. Graphical abstract [DISPLAY OMISSION]

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  8. [해외논문]   The large-scale functional connectivity correlates of consciousness and arousal during the healthy and pathological human sleep cycle   SCI SCIE SCOPUS

    Tagliazucchi, Enzo (Corresponding author.) , van Someren, Eus J.W.
    NeuroImage v.160 ,pp. 55 - 72 , 2017 , 1053-8119 ,

    초록

    Abstract Advances in neuroimaging have greatly improved our understanding of human sleep from a systems neuroscience perspective. However, cognition and awareness are reduced during sleep, hindering the applicability of standard task-based paradigms. Methods recently developed to study spontaneous brain activity fluctuations have proven useful to overcome this limitation. In this review, we focus on the concept of functional connectivity (FC, i.e. statistical covariance between brain activity signals) and its application to functional magnetic resonance imaging (fMRI) data acquired during sleep. We discuss how FC analyses of endogenous brain activity during sleep have contributed towards revealing the large-scale neural networks associated with arousal and conscious awareness. We argue that the neuroimaging of deep sleep can be used to evaluate the predictions of theories of consciousness; at the same time, we highlight some apparent limitations of deep sleep as an experimental model of unconsciousness. In resting state fMRI experiments, the onset of sleep can be regarded as the object of interest but also as an undesirable confound. We discuss a series of articles contributing towards the disambiguation of wakefulness from sleep on the basis of fMRI-derived dynamic FC, and then outline a plan for the development of more general and data-driven sleep classifiers. To complement our review of studies investigating the brain systems of arousal and consciousness during healthy sleep, we then turn to pathological and abnormal sleep patterns. We review the current literature on sleep deprivation studies and sleep disorders, adopting the critical stance that lack of independent vigilance monitoring during fMRI experiments is liable for false positives related to atypical sleep propensity in clinical and sleep-deprived populations. Finally, we discuss multimodal neuroimaging as a promising future direction to achieve a better understanding of the large-scale FC of the brain during sleep and its relationship to mechanisms at the cellular level. Highlights We perform an extensive literature review on functional connectivity during sleep. We discuss how sleep can be used as a model to study arousal and consciousness. We discuss the limitations of using sleep to study loss of consciousness. We review articles showing that sleep is a possible statistical confound during rest. Sleep disorders are discussed under the light of possible sleep confounds.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  9. [해외논문]   Multi-scale brain networks   SCI SCIE SCOPUS

    Betzel, Richard F. (School of Engineering and Applied Science, Department of Bioengineering, USA ) , Bassett, Danielle S. (School of Engineering and Applied Science, Department of Bioengineering, USA)
    NeuroImage v.160 ,pp. 73 - 83 , 2017 , 1053-8119 ,

    초록

    Abstract The network architecture of the human brain has become a feature of increasing interest to the neuroscientific community, largely because of its potential to illuminate human cognition, its variation over development and aging, and its alteration in disease or injury. Traditional tools and approaches to study this architecture have largely focused on single scales—of topology, time, and space. Expanding beyond this narrow view, we focus this review on pertinent questions and novel methodological advances for the multi-scale brain. We separate our exposition into content related to multi-scale topological structure, multi-scale temporal structure, and multi-scale spatial structure. In each case, we recount empirical evidence for such structures, survey network-based methodological approaches to reveal these structures, and outline current frontiers and open questions. Although predominantly peppered with examples from human neuroimaging, we hope that this account will offer an accessible guide to any neuroscientist aiming to measure, characterize, and understand the full richness of the brain's multiscale network structure—irrespective of species, imaging modality, or spatial resolution. Highlights The human brain can be represented as a multi-scale network. Characterizing the architecture of multi-scale networks requires new tools. We review promising multilayer tools from network science.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  10. [해외논문]   Functional connectivity dynamically evolves on multiple time-scales over a static structural connectome: Models and mechanisms   SCI SCIE SCOPUS

    Cabral, Joana (Department of Psychiatry, University of Oxford, UK ) , Kringelbach, Morten L. (Department of Psychiatry, University of Oxford, UK ) , Deco, Gustavo (Center of Brain and Cognition, Universitat Pompeu Fabra, Barcelona, Spain)
    NeuroImage v.160 ,pp. 84 - 96 , 2017 , 1053-8119 ,

    초록

    Abstract Over the last decade, we have observed a revolution in brain structural and functional Connectomics. On one hand, we have an ever-more detailed characterization of the brain's white matter structural connectome. On the other, we have a repertoire of consistent functional networks that form and dissipate over time during rest. Despite the evident spatial similarities between structural and functional connectivity, understanding how different time-evolving functional networks spontaneously emerge from a single structural network requires analyzing the problem from the perspective of complex network dynamics and dynamical system's theory. In that direction, bottom-up computational models are useful tools to test theoretical scenarios and depict the mechanisms at the genesis of resting-state activity. Here, we provide an overview of the different mechanistic scenarios proposed over the last decade via computational models. Importantly, we highlight the need of incorporating additional model constraints considering the properties observed at finer temporal scales with MEG and the dynamical properties of FC in order to refresh the list of candidate scenarios. Highlights Resting-state functional connectivity reveals a complex network dynamics. Several mechanistic scenarios have been proposed using whole-brain network models. Functional connectivity arises from interactions in the structural connectome. Dynamics on multiple time-scales have not always been addressed in models. Models and mechanisms considering neurophysiological rhythms are the most valuable.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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