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Titlebook: Brain Network Dysfunction in Neuropsychiatric Illness; Methods, Application Vaibhav A. Diwadkar,Simon B. Eickhoff Book 2021 Springer Nature

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發(fā)表于 2025-3-21 17:04:42 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Brain Network Dysfunction in Neuropsychiatric Illness
期刊簡稱Methods, Application
影響因子2023Vaibhav A. Diwadkar,Simon B. Eickhoff
視頻videohttp://file.papertrans.cn/191/190218/190218.mp4
發(fā)行地址Combines and synthesizes expertise from neuroimaging and psychiatry.Discusses applications of neuroimaging to reveal dysfunctional brain networks interactions in specific neuropsychiatric disorders.Ex
圖書封面Titlebook: Brain Network Dysfunction in Neuropsychiatric Illness; Methods, Application Vaibhav A. Diwadkar,Simon B. Eickhoff Book 2021 Springer Nature
影響因子.Brain network function and dysfunction is the dominant model for understanding how the brain gives rise to normal and abnormal behavior. Moreover, neuropsychiatric illnesses continue to resist attempts to reveal an understanding of their bases. Thus, this timely volume provides a synthesis of the uses of multiple analytic methods as they are applied to neuroimaging data, to seek understanding of the neurobiological bases of psychiatric illnesses, understanding that can subsequently aid in their management and treatment. A principle focus is on the analyses and application of methods to functional magnetic resonance imaging (fMRI) data. fMRI remains the most widely used neuroimaging technique for estimating brain network function, and several of the methods covered can estimate brain network dysfunction in resting and task-active states. . .Additional chapters provide details on how these methods are (and can be) applied in the understanding of several neuropsychiatric disorders, including schizophrenia, mood disorders, autism, borderline personality disorder, and attention deficit hyperactivity disorder (ADHD). A final complement of chapters provides a collective overview of how t
Pindex Book 2021
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fMRI: Blood Oxygen Level-Dependent Contrast and Its Value for Understanding Functional Brain Networkgh-resolution, and high-speed assessment of human brain activation and connectivity. Because clinical MRI scanners equipped with fMRI capability are ubiquitous throughout the world – with at least one in most hospitals – its use has grown rapidly since its inception in the early 1990s. Over the year
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Review of Resting-State Functional Connectivity Methods and Application in Clinical Populationsstinct regions whose interactions are both functionally segregated and integrated across the whole brain. Functional connections integrate multiple brain systems to produce unique networks attending to the different cognitive and sensory demands of the body. Detection and quantification of functiona
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Data Mining in the Era of Big Data: The BrainMap Database as a Resource for Characterizing Brain Netrature. This chapter provides a review of meta-analysis techniques available via the BrainMap Project, including activation likelihood estimation (ALE), independent component analysis (ICA), and clustering. Prior work emphasizing clinical utility of these meta-analytic methods are discussed.
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Resting-State Functional Network Disturbances in Schizophreniances of functional resting-state brain networks in this illness are widely investigated. For example, dysconnectivity among brain networks have been revealed by regions of interest-based analysis, independent component analysis, graph theory-based analysis, and dynamic connectivity analysis. In addi
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