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

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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

Postmenopause

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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ANNUL

white-matter

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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Ringworm

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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