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

FORGE

书目名称Brain Morphometry影响因子(影响力)




书目名称Brain Morphometry影响因子(影响力)学科排名




书目名称Brain Morphometry网络公开度




书目名称Brain Morphometry网络公开度学科排名




书目名称Brain Morphometry被引频次




书目名称Brain Morphometry被引频次学科排名




书目名称Brain Morphometry年度引用




书目名称Brain Morphometry年度引用学科排名




书目名称Brain Morphometry读者反馈




书目名称Brain Morphometry读者反馈学科排名

巨大没有

Surface and Shape Analysisly over the entire lifetime and in diseases, and reflect the current state of the brain. This chapter offers an introduction to individual development theories and models, surface reconstruction techniques, and shape measures to describe surfaces properties.

Matrimony

extinguish

Structural MRI in Neurodegenerative Non-Alzheimer’s Dementiaed MRI neuroimaging techniques to study different NADs will be presented. The NADs discussed here, include Huntington‘s Disease, Progressive Supranuclear Palsy, Multiple System Atrophy, CorticoBasal Dementia, Parkinson‘s Disease with Dementia, and Dementia with Lewy bodies.

STYX

Brain Morphometry: Parkinson’s Diseasestem (neuronal degeneration), (2) striatum (dopaminergic deafferentation), and (3) cortical (functional deafferentation and neuronal degeneration). High-field MRI associated to advanced MRI techniques opened new perspectives to investigate neurodegenerative lesions associated to PD.

字形刻痕

Nikolaos Passalis,Anastasios Tefasysis (IVA), and related approaches such as parallel independent component analysis with reference (pICA-R). This chapter thus reviews a wide range of multivariate, data-driven approaches which have been successfully applied to brain imaging studies.

DECRY

外观

Book 2018ed to get successful results in your laboratory..Cutting-edge and comprehensive, .Brain Morphometry. is a valuable resource for students, clinicians, and researchers who are interested in this developingfield..

HUSH

极小量

Speech Analytics Based on Machine Learningout childhood and adolescence. The chapter also highlights the importance of developmental perspectives in structural neuroimaging studies for our understanding of clinical conditions such as schizophrenia, autism spectrum disorders, and epilepsy.