Multivariate Data Analysis for Neuroimaging Data: Overview and Application to Alzheimer's Disease

• Published in: Cell biochemistry and biophysics Vol. 58; no. 2; pp. 53 - 67
• Main Authors: Habeck, Christian, Stern, Yaakov
• Format: Journal Article
• Language: English
• Published: New York New York : Humana Press Inc 01.11.2010; Humana Press Inc; Springer Nature B.V
• Subjects: Alzheimer disease; Alzheimer Disease - diagnosis; Alzheimer Disease - pathology; Alzheimer's disease; Biochemistry; Biological and Medical Physics; Biomedical and Life Sciences; Biophysics; Biotechnology; Brain; Brain - pathology; Brain reading; Cell Biology; classification; Cross validation; diagnosis; Humans; Image Processing, Computer-Assisted; Image Processing, Computer-Assisted - methods; Life Sciences; methods; Molecular Imaging; Molecular Imaging - methods; Multivariate Analysis; Nonparametric inference; pathology; Pharmacology/Toxicology; Principal Component Analysis; Principal components analysis; Review; Split-sample simulations; Alzheimer’s disease; Classification; Nonparametric inference; Split-sample simulations; Principal components analysis; Cross validation; Multivariate analysis; Brain reading

As clinical and cognitive neuroscience mature, the need for sophisticated neuroimaging analysis becomes more apparent. Multivariate analysis techniques have recently received increasing attention as they have many attractive features that cannot be easily realized by the more commonly used univariat...