Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning Machine
出版年份 2017 全文链接
标题
Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning Machine
作者
关键词
-
出版物
Frontiers in Neuroinformatics
Volume 11, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2017-09-08
DOI
10.3389/fninf.2017.00059
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine Using Structural and Functional Brain MRI
- (2017) Muhammad Naveed Iqbal Qureshi et al. Frontiers in Human Neuroscience
- Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls
- (2017) Mohammad R. Arbabshirani et al. NEUROIMAGE
- Altered functional connectivity in brain networks underlying self-referential processing in delusions of reference in schizophrenia
- (2017) Sara Larivière et al. PSYCHIATRY RESEARCH-NEUROIMAGING
- Dysfunction of Large-Scale Brain Networks in Schizophrenia: A Meta-analysis of Resting-State Functional Connectivity
- (2017) Debo Dong et al. SCHIZOPHRENIA BULLETIN
- Cortical thickness of neural substrates supporting cognitive empathy in individuals with schizophrenia
- (2017) Suena H. Massey et al. SCHIZOPHRENIA RESEARCH
- Imaging and machine learning techniques for diagnosis of Alzheimer’s disease
- (2016) Golrokh Mirzaei et al. REVIEWS IN THE NEUROSCIENCES
- Auditory Cortex Characteristics in Schizophrenia: Associations With Auditory Hallucinations
- (2016) Lynn Mørch-Johnsen et al. SCHIZOPHRENIA BULLETIN
- Classifying Schizophrenia Using Multimodal Multivariate Pattern Recognition Analysis: Evaluating the Impact of Individual Clinical Profiles on the Neurodiagnostic Performance
- (2016) Carlos Cabral et al. SCHIZOPHRENIA BULLETIN
- Aberrant neural networks for the recognition memory of socially relevant information in patients with schizophrenia
- (2016) Jooyoung Oh et al. Brain and Behavior
- Multimodal Classification of Schizophrenia Patients with MEG and fMRI Data Using Static and Dynamic Connectivity Measures
- (2016) Mustafa S. Cetin et al. Frontiers in Neuroscience
- Multiclass Classification for the Differential Diagnosis on the ADHD Subtypes Using Recursive Feature Elimination and Hierarchical Extreme Learning Machine: Structural MRI Study
- (2016) Muhammad Naveed Iqbal Qureshi et al. PLoS One
- Domain Adaptation Extreme Learning Machines for Drift Compensation in E-Nose Systems
- (2015) Lei Zhang et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- The neural basis of a deficit in abstract thinking in patients with schizophrenia
- (2015) Jooyoung Oh et al. PSYCHIATRY RESEARCH-NEUROIMAGING
- Cortical thickness and surface area in neonates at high risk for schizophrenia
- (2014) Gang Li et al. Brain Structure & Function
- Combination of Resting State fMRI, DTI, and sMRI Data to Discriminate Schizophrenia by N-way MCCA + jICA
- (2013) Jing Sui et al. Frontiers in Human Neuroscience
- Discrimination between schizophrenia and major depressive disorder by magnetic resonance imaging of the female brain
- (2013) Miho Ota et al. JOURNAL OF PSYCHIATRIC RESEARCH
- Using joint ICA to link function and structure using MEG and DTI in schizophrenia
- (2013) J.M. Stephen et al. NEUROIMAGE
- Can structural MRI aid in clinical classification? A machine learning study in two independent samples of patients with schizophrenia, bipolar disorder and healthy subjects
- (2013) Hugo G. Schnack et al. NEUROIMAGE
- Fractionation of social brain circuits in autism spectrum disorders
- (2012) Stephen J. Gotts et al. BRAIN
- High Classification Accuracy for Schizophrenia with Rest and Task fMRI Data
- (2012) Wei Du et al. Frontiers in Human Neuroscience
- Functional imaging of the hemodynamic sensory gating response in schizophrenia
- (2012) Andrew R. Mayer et al. HUMAN BRAIN MAPPING
- Lattice independent component analysis feature selection on diffusion weighted imaging for Alzheimer's disease classification
- (2012) M. Termenon et al. NEUROCOMPUTING
- Classification of schizophrenia patients and healthy controls from structural MRI scans in two large independent samples
- (2012) Mireille Nieuwenhuis et al. NEUROIMAGE
- Within-subject template estimation for unbiased longitudinal image analysis
- (2012) Martin Reuter et al. NEUROIMAGE
- Neuroanatomical pattern classification in a population-based sample of first-episode schizophrenia
- (2012) Marcus V. Zanetti et al. PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
- Exploring the Psychosis Functional Connectome: Aberrant Intrinsic Networks in Schizophrenia and Bipolar Disorder
- (2012) Vince D Calhoun et al. Frontiers in Psychiatry
- Bilateral hippocampal dysfunction in schizophrenia
- (2011) Faith M. Hanlon et al. NEUROIMAGE
- Altered resting state complexity in schizophrenia
- (2011) Danielle S. Bassett et al. NEUROIMAGE
- A Hybrid Machine Learning Method for Fusing fMRI and Genetic Data: Combining both Improves Classification of Schizophrenia
- (2010) Honghui Yang et al. Frontiers in Human Neuroscience
- The effect of model order selection in group PICA
- (2010) Ahmed Abou-Elseoud et al. HUMAN BRAIN MAPPING
- Disrupted in Schizophrenia 1 Regulates Neuronal Progenitor Proliferation via Modulation of GSK3β/β-Catenin Signaling
- (2009) Yingwei Mao et al. CELL
- Distinct patterns of brain activity in young carriers of the APOE- 4 allele
- (2009) N. Filippini et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Unaffected Family Members and Schizophrenia Patients Share Brain Structure Patterns: A High-Dimensional Pattern Classification Study
- (2007) Yong Fan et al. BIOLOGICAL PSYCHIATRY
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started