Elucidating a Magnetic Resonance Imaging-Based Neuroanatomic Biomarker for Psychosis: Classification Analysis Using Probabilistic Brain Atlas and Machine Learning Algorithms
- 1 December 2009
- journal article
- Published by Elsevier BV in Biological Psychiatry
- Vol. 66 (11), 1055-1060
- https://doi.org/10.1016/j.biopsych.2009.07.019
Abstract
No abstract availableThis publication has 34 references indexed in Scilit:
- Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registrationNeuroImage, 2009
- PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI DataNeuroinformatics, 2009
- PyMVPA: a unifying approach to the analysis of neuroscientific dataFrontiers in Neuroscience, 2009
- Application of principal component analysis to distinguish patients with schizophrenia from healthy controls based on fractional anisotropy measurementsNeuroImage, 2008
- Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification studyNeuroImage, 2008
- Identifying natural images from human brain activityNature, 2008
- Unaffected Family Members and Schizophrenia Patients Share Brain Structure Patterns: A High-Dimensional Pattern Classification StudyBiological Psychiatry, 2008
- Prospective Diagnosis of the Initial Prodrome for Schizophrenia Based on the Structured Interview for Prodromal Syndromes: Preliminary Evidence of Interrater Reliability and Predictive ValidityAmerican Journal of Psychiatry, 2002
- Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal CortexScience, 2001
- Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithmIEEE Transactions on Medical Imaging, 2001