Titlebook: Brain Morphometry; Gianfranco Spalletta,Fabrizio Piras,Tommaso Gili Book 2018 Springer Science+Business Media, LLC 2018 structural human b

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Integrating Cytoarchitectonic Probabilities with MRI-Based Signal Intensities to Calculate Regional ormation is provided with respect to the cytoarchitectonically defined probabilistic maps, i.e., the foundation for the proposed cytoarchitectonic ROI approach (. Sect. 2). The methodological aspects pertaining to this approach constitute the heart of the chapter and comprise three main steps: proba

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Brain Morphometry: Alzheimer’s Diseaselogical changes in AD highlights a sensible lack of clinical specificity. Despite these limitations, however, a large body of publications has highlighted the importance of brain morphology for the characterization of different phenotypic expressions of this disease and for the quantification of tre

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https://doi.org/10.1007/978-3-319-94030-4ttle further supervision. The resulting network-like, sparse basis functions allow one to predict traditional univariate outcomes from multiple neuroimaging modalities even when sample sizes are relatively small. Importantly, these data-driven functions are anatomically and edge-wise specific, allow