Diagnostic classification of unipolar depression based on resting-state functional connectivity MRI: effects of generalization to a diverse sample
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Diagnostic classification of unipolar depression based on resting-state functional connectivity MRI: effects of generalization to a diverse sample
Authors
Keywords
fMRI, Functional connectivity, Classification, MVPA, Depression
Journal
JOURNAL OF NEURAL TRANSMISSION
Volume 124, Issue 5, Pages 589-605
Publisher
Springer Nature
Online
2016-12-31
DOI
10.1007/s00702-016-1673-8
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls
- (2017) Mohammad R. Arbabshirani et al. NEUROIMAGE
- Multivariate pattern analysis strategies in detection of remitted major depressive disorder using resting state functional connectivity
- (2017) Runa Bhaumik et al. NeuroImage-Clinical
- MR imaging of the brain in large cohort studies: feasibility report of the population- and patient-based BiDirect study
- (2016) Anja Teuber et al. EUROPEAN RADIOLOGY
- Establishing moderators and biosignatures of antidepressant response in clinical care (EMBARC): Rationale and design
- (2016) Madhukar H. Trivedi et al. JOURNAL OF PSYCHIATRIC RESEARCH
- Psychoradiology: The Frontier of Neuroimaging in Psychiatry
- (2016) Su Lui et al. RADIOLOGY
- Multimodal Imaging Signatures of Parkinson's Disease
- (2016) F. DuBois Bowman et al. Frontiers in Neuroscience
- Accuracy of automated classification of major depressive disorder as a function of symptom severity
- (2016) Rajamannar Ramasubbu et al. NeuroImage-Clinical
- Studying depression using imaging and machine learning methods
- (2016) Meenal J. Patel et al. NeuroImage-Clinical
- Combining anatomical, diffusion, and resting state functional magnetic resonance imaging for individual classification of mild and moderate Alzheimer's disease
- (2016) Tijn M. Schouten et al. NeuroImage-Clinical
- Identifying Predictors, Moderators, and Mediators of Antidepressant Response in Major Depressive Disorder: Neuroimaging Approaches
- (2015) Mary L. Phillips et al. AMERICAN JOURNAL OF PSYCHIATRY
- In pursuit of neuroimaging biomarkers to guide treatment selection in major depressive disorder: a review of the literature
- (2015) Marc S. Lener et al. Annals of the New York Academy of Sciences
- Depressive Rumination, the Default-Mode Network, and the Dark Matter of Clinical Neuroscience
- (2015) J. Paul Hamilton et al. BIOLOGICAL PSYCHIATRY
- Predicting the Naturalistic Course of Major Depressive Disorder Using Clinical and Multimodal Neuroimaging Information: A Multivariate Pattern Recognition Study
- (2015) Lianne Schmaal et al. BIOLOGICAL PSYCHIATRY
- Major depressive disorder: Findings of reduced homotopic connectivity and investigation of underlying structural mechanisms
- (2015) Marco Hermesdorf et al. HUMAN BRAIN MAPPING
- Sparse network-based models for patient classification using fMRI
- (2015) Maria J. Rosa et al. NEUROIMAGE
- Predicting clinical responses in major depression using intrinsic functional connectivity
- (2015) Jian Qin et al. NEUROREPORT
- From estimating activation locality to predicting disorder: A review of pattern recognition for neuroimaging-based psychiatric diagnostics
- (2015) Thomas Wolfers et al. NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
- Predicting Treatment Response to Cognitive Behavioral Therapy in Panic Disorder With Agoraphobia by Integrating Local Neural Information
- (2015) Tim Hahn et al. JAMA Psychiatry
- Large-Scale Network Dysfunction in Major Depressive Disorder
- (2015) Roselinde H. Kaiser et al. JAMA Psychiatry
- Establishing the bidirectional relationship between depression and subclinical arteriosclerosis – rationale, design, and characteristics of the BiDirect Study
- (2014) Henning Teismann et al. BMC Psychiatry
- Multivariate Pattern Recognition for Diagnosis and Prognosis in Clinical Neuroimaging: State of the Art, Current Challenges and Future Trends
- (2014) Sven Haller et al. BRAIN TOPOGRAPHY
- Toward literature-based feature selection for diagnostic classification: a meta-analysis of resting-state fMRI in depression
- (2014) Benedikt Sundermann et al. Frontiers in Human Neuroscience
- A functional MRI marker may predict the outcome of electroconvulsive therapy in severe and treatment-resistant depression
- (2014) J A van Waarde et al. MOLECULAR PSYCHIATRY
- Resting-state functional connectivity abnormalities in first-onset unmedicated depression
- (2014) Junjie Chen et al. Neural Regeneration Research
- Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers
- (2014) Gholamreza Salimi-Khorshidi et al. NEUROIMAGE
- A common brain network links development, aging, and vulnerability to disease
- (2014) Gwenaëlle Douaud et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Resting-State Functional MR Imaging: A New Window to the Brain
- (2014) Frederik Barkhof et al. RADIOLOGY
- Multivariate Classification of Blood Oxygen Level-Dependent fMRI Data with Diagnostic Intention: A Clinical Perspective
- (2013) B. Sundermann et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- Clinical classification in mental health at the cross-roads: which direction next?
- (2013) Ian B Hickie et al. BMC Medicine
- Self-Referential Processing, Rumination, and Cortical Midline Structures in Major Depression
- (2013) Ayna Baladi Nejad et al. Frontiers in Human Neuroscience
- Unsupervised classification of major depression using functional connectivity MRI
- (2013) Ling-Li Zeng et al. HUMAN BRAIN MAPPING
- Meta-analytic evidence for neuroimaging models of depression: State or trait?
- (2013) Julia Graham et al. JOURNAL OF AFFECTIVE DISORDERS
- Brain Microstructure Reveals Early Abnormalities more than Two Years prior to Clinical Progression from Mild Cognitive Impairment to Alzheimer's Disease
- (2013) G. Douaud et al. JOURNAL OF NEUROSCIENCE
- Power failure: why small sample size undermines the reliability of neuroscience
- (2013) Katherine S. Button et al. NATURE REVIEWS NEUROSCIENCE
- The effect of scan length on the reliability of resting-state fMRI connectivity estimates
- (2013) Rasmus M. Birn et al. NEUROIMAGE
- Clinical applications of the functional connectome
- (2013) F. Xavier Castellanos et al. NEUROIMAGE
- Resting-state fMRI confounds and cleanup
- (2013) Kevin Murphy et al. NEUROIMAGE
- Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project
- (2013) Kamil Uğurbil et al. NEUROIMAGE
- A Review of Feature Reduction Techniques in Neuroimaging
- (2013) Benson Mwangi et al. NEUROINFORMATICS
- PRoNTo: Pattern Recognition for Neuroimaging Toolbox
- (2013) J. Schrouff et al. NEUROINFORMATICS
- Convergent and Divergent Functional Connectivity Patterns in Schizophrenia and Depression
- (2013) Yang Yu et al. PLoS One
- Aberrant functional connectivity for diagnosis of major depressive disorder: A discriminant analysis
- (2013) Longlong Cao et al. PSYCHIATRY AND CLINICAL NEUROSCIENCES
- Brain imaging predictors and the international study to predict optimized treatment for depression: study protocol for a randomized controlled trial
- (2013) Stuart M Grieve et al. Trials
- Complex biomarker discovery in neuroimaging data: Finding a needle in a haystack
- (2013) Gowtham Atluri et al. NeuroImage-Clinical
- Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis
- (2012) Ling-Li Zeng et al. BRAIN
- Altered cerebellar–cerebral resting-state functional connectivity reliably identifies major depressive disorder
- (2012) Qiongmin Ma et al. BRAIN RESEARCH
- Novel biomarkers in major depression
- (2012) Barbara Schneider et al. CURRENT OPINION IN PSYCHIATRY
- The Canadian Biomarker Integration Network in Depression (CAN-BIND): Advances in Response Prediction
- (2012) Sidney H. Kennedy et al. CURRENT PHARMACEUTICAL DESIGN
- Baseline activity predicts working memory load of preceding task condition
- (2012) Martin Pyka et al. HUMAN BRAIN MAPPING
- Predictive neural biomarkers of clinical response in depression: A meta-analysis of functional and structural neuroimaging studies of pharmacological and psychological therapies
- (2012) Cynthia H.Y. Fu et al. NEUROBIOLOGY OF DISEASE
- The Default Mode Network and Recurrent Depression: A Neurobiological Model of Cognitive Risk Factors
- (2012) Igor Marchetti et al. NEUROPSYCHOLOGY REVIEW
- Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review
- (2012) Graziella Orrù et al. NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
- Changes in Community Structure of Resting State Functional Connectivity in Unipolar Depression
- (2012) Anton Lord et al. PLoS One
- Predictors of remission in depression to individual and combined treatments (PReDICT): study protocol for a randomized controlled trial
- (2012) Boadie W Dunlop et al. Trials
- LIBSVM
- (2012) Chih-Chung Chang et al. ACM Transactions on Intelligent Systems and Technology
- Reproducibility of Single-Subject Functional Connectivity Measurements
- (2011) J.S. Anderson et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- ccSVM: correcting Support Vector Machines for confounding factors in biological data classification
- (2011) L. Li et al. BIOINFORMATICS
- A whole brain fMRI atlas generated via spatially constrained spectral clustering
- (2011) R. Cameron Craddock et al. HUMAN BRAIN MAPPING
- Major depressive disorder: new clinical, neurobiological, and treatment perspectives
- (2011) David J Kupfer et al. LANCET
- Antidepressant medications reduce subcortical–cortical resting-state functional connectivity in healthy volunteers
- (2011) Ciara McCabe et al. NEUROIMAGE
- Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images
- (2011) Carlton Chu et al. NEUROIMAGE
- Identification of MCI individuals using structural and functional connectivity networks
- (2011) Chong-Yaw Wee et al. NEUROIMAGE
- Diagnostic neuroimaging across diseases
- (2011) Stefan Klöppel et al. NEUROIMAGE
- REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing
- (2011) Xiao-Wei Song et al. PLoS One
- International Study to Predict Optimized Treatment for Depression (iSPOT-D), a randomized clinical trial: rationale and protocol
- (2011) Leanne M Williams et al. Trials
- Exploring the brain network: A review on resting-state fMRI functional connectivity
- (2010) Martijn P. van den Heuvel et al. EUROPEAN NEUROPSYCHOPHARMACOLOGY
- Resting developments: a review of fMRI post-processing methodologies for spontaneous brain activity
- (2010) Daniel S. Margulies et al. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
- Disease and the brain's dark energy
- (2010) Dongyang Zhang et al. Nature Reviews Neurology
- Prediction of Individual Brain Maturity Using fMRI
- (2010) Nico U. F. Dosenbach et al. SCIENCE
- Intrinsic Functional Connectivity As a Tool For Human Connectomics: Theory, Properties, and Optimization
- (2009) Koene R. A. Van Dijk et al. JOURNAL OF NEUROPHYSIOLOGY
- Disease state prediction from resting state functional connectivity
- (2009) R. Cameron Craddock et al. MAGNETIC RESONANCE IN MEDICINE
- Correspondence of the brain's functional architecture during activation and rest
- (2009) S. M. Smith et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Reduced amygdala–prefrontal coupling in major depression: association with MAOA genotype and illness severity
- (2008) Udo Dannlowski et al. INTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY
- Machine learning classifiers and fMRI: A tutorial overview
- (2008) Francisco Pereira et al. NEUROIMAGE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started