Machine learning improved classification of psychoses using clinical and biological stratification: Update from the bipolar-schizophrenia network for intermediate phenotypes (B-SNIP)
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Godfrey Pearlson | Mukund Sudarshan | Neeraj Tandon | Matcheri S. Keshavan | G. Pearlson | J. Sweeney | M. Keshavan | B. Clementz | C. Tamminga | S. S. Mothi | Mukund Sudarshan | N. Tandon | Brett Clementz | John Sweeney | Carol Tamminga | Suraj Sarvode Mothi
[1] G. Cassano,et al. Cross-sectional similarities and differences between schizophrenia, schizoaffective disorder and mania or mixed mania with mood-incongruent psychotic features , 2004, European Psychiatry.
[2] Gunnar Rätsch,et al. Kernel PCA and De-Noising in Feature Spaces , 1998, NIPS.
[3] Khader M. Hasan,et al. Visualization and unsupervised predictive clustering of high-dimensional multimodal neuroimaging data , 2014, Journal of Neuroscience Methods.
[4] Bernhard Schölkopf,et al. Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.
[5] Vittorio Murino,et al. Classification of schizophrenia using feature-based morphometry , 2012, Journal of Neural Transmission.
[6] Chris H. Q. Ding,et al. K-means clustering via principal component analysis , 2004, ICML.
[7] Pascal Vincent,et al. Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Li Yao,et al. Altered cortical thickness related to clinical severity but not the untreated disease duration in schizophrenia. , 2015, Schizophrenia bulletin.
[9] Gaël Varoquaux,et al. Cross-validation failure: Small sample sizes lead to large error bars , 2017, NeuroImage.
[10] R. C. Young,et al. A Rating Scale for Mania: Reliability, Validity and Sensitivity , 1978, British Journal of Psychiatry.
[11] Godfrey D Pearlson,et al. Medial temporal lobe structures and hippocampal subfields in psychotic disorders: findings from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) study. , 2014, JAMA psychiatry.
[12] G. Pearlson,et al. Pursuit eye movements as an intermediate phenotype across psychotic disorders: Evidence from the B-SNIP study , 2015, Schizophrenia Research.
[13] I. Jolliffe. Principal Component Analysis , 2005 .
[14] T. Insel,et al. Wesleyan University From the SelectedWorks of Charles A . Sanislow , Ph . D . 2010 Research Domain Criteria ( RDoC ) : Toward a New Classification Framework for Research on Mental Disorders , 2018 .
[15] A. Meyer-Lindenberg,et al. Machine Learning for Precision Psychiatry: Opportunities and Challenges. , 2017, Biological psychiatry. Cognitive neuroscience and neuroimaging.
[16] Brian A. Nosek,et al. Power failure: why small sample size undermines the reliability of neuroscience , 2013, Nature Reviews Neuroscience.
[17] Godfrey D Pearlson,et al. Elevated antisaccade error rate as an intermediate phenotype for psychosis across diagnostic categories. , 2014, Schizophrenia bulletin.
[18] Kenneth S. Kendler,et al. The Dopamine Hypothesis of Schizophrenia: An Historical and Philosophical Analysis , 2011 .
[19] Jun Liu,et al. Anatomical Brain Images Alone Can Accurately Diagnose Chronic Neuropsychiatric Illnesses , 2012, PloS one.
[20] Godfrey Pearlson,et al. A dimensional approach to the psychosis spectrum between bipolar disorder and schizophrenia: The Schizo-Bipolar Scale , 2011, Schizophrenia Research.
[21] John A. Sweeney,et al. Eye-tracking dysfunction in offspring from the New York High-Risk Project: diagnostic specificity and the role of attention , 1997, Psychiatry Research.
[22] Bruce Fischl,et al. FreeSurfer , 2012, NeuroImage.
[23] M. Birchwood,et al. programmes with schizophrenic patients. new scale of social adjustment for use in family intervention The Social Functioning Scale. The development and validation of a , 2022 .
[24] L. Yao,et al. Two Patterns of White Matter Abnormalities in Medication-Naive Patients With First-Episode Schizophrenia Revealed by Diffusion Tensor Imaging and Cluster Analysis. , 2015, JAMA psychiatry.
[25] Heiko Hoffmann,et al. Kernel PCA for novelty detection , 2007, Pattern Recognit..
[26] Rosenberg's Molecular and Genetic Basis of Neurological and Psychiatric Disease , 2014 .
[27] G. Pearlson,et al. Reimagining psychoses: An agnostic approach to diagnosis , 2013, Schizophrenia Research.
[28] D. Levy,et al. Eye-tracking dysfunctions in schizophrenic patients and their relatives. , 1974, Archives of general psychiatry.
[29] Rachel M. Brouwer,et al. Can structural MRI aid in clinical classification? A machine learning study in two independent samples of patients with schizophrenia, bipolar disorder and healthy subjects , 2014, NeuroImage.
[30] R. Murray,et al. Pattern of neural responses to verbal fluency shows diagnostic specificity for schizophrenia and bipolar disorder , 2011, BMC psychiatry.
[31] Alex Smola,et al. Kernel methods in machine learning , 2007, math/0701907.
[32] M D Escobar,et al. Eye tracking dysfunction in schizophrenia: characterization of component eye movement abnormalities, diagnostic specificity, and the role of attention. , 1994, Journal of abnormal psychology.
[33] B. Franke,et al. From estimating activation locality to predicting disorder: A review of pattern recognition for neuroimaging-based psychiatric diagnostics , 2015, Neuroscience & Biobehavioral Reviews.
[34] Lauren E. Ethridge,et al. Identification of Distinct Psychosis Biotypes Using Brain-Based Biomarkers. , 2018, Focus.
[35] G. Pearlson,et al. Clinical phenotypes of psychosis in the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP). , 2013, The American journal of psychiatry.
[36] M. Åsberg,et al. A New Depression Scale Designed to be Sensitive to Change , 1979, British Journal of Psychiatry.
[37] R. Kahn,et al. Detecting Neuroimaging Biomarkers for Psychiatric Disorders: Sample Size Matters , 2016, Front. Psychiatry.
[38] Lauren E. Ethridge,et al. Behavioral response inhibition in psychotic disorders: Diagnostic specificity, familiality and relation to generalized cognitive deficit , 2014, Schizophrenia Research.
[39] Vince D. Calhoun,et al. Human Neuroscience , 2022 .
[40] Lauren E. Ethridge,et al. Event-Related Potential and Time-Frequency Endophenotypes for Schizophrenia and Psychotic Bipolar Disorder , 2015, Biological Psychiatry.
[41] A. Falek,et al. Classification in schizophrenia. , 1975, Archives of general psychiatry.
[42] S. Kay,et al. The positive and negative syndrome scale (PANSS) for schizophrenia. , 1987, Schizophrenia bulletin.
[43] Godfrey D Pearlson,et al. Neuropsychological impairments in schizophrenia and psychotic bipolar disorder: findings from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) study. , 2013, The American journal of psychiatry.
[44] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[45] T. Insel,et al. Why has it taken so long for biological psychiatry to develop clinical tests and what to do about it? , 2012, Molecular Psychiatry.
[46] Lauren E. Ethridge,et al. Identification of Distinct Psychosis Biotypes Using Brain-Based Biomarkers. , 2016, The American journal of psychiatry.
[47] Nick C Fox,et al. The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods , 2008, Journal of magnetic resonance imaging : JMRI.
[48] Andrew Moskowitz,et al. Eugen Bleuler's Dementia praecox or the group of schizophrenias (1911): a centenary appreciation and reconsideration. , 2011, Schizophrenia bulletin.
[49] J. Sweeney,et al. Is eye movement dysfunction a biological marker for schizophrenia? A methodological review. , 1990, Psychological bulletin.
[50] P. Rousseeuw. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .
[51] A. Mechelli,et al. Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review , 2012, Neuroscience & Biobehavioral Reviews.
[52] G. Pearlson,et al. Examining Functional Resting-State Connectivity in Psychosis and Its Subgroups in the Bipolar-Schizophrenia Network on Intermediate Phenotypes Cohort. , 2016, Biological psychiatry. Cognitive neuroscience and neuroimaging.
[53] Vince D. Calhoun,et al. Deep learning for neuroimaging: a validation study , 2013, Front. Neurosci..
[54] Carl-Fredrik Westin,et al. Biomarkers for Identifying First-Episode Schizophrenia Patients Using Diffusion Weighted Imaging , 2010, MICCAI.
[55] Peter F. Liddle,et al. Clinical Utility of Machine-Learning Approaches in Schizophrenia: Improving Diagnostic Confidence for Translational Neuroimaging , 2013, Front. Psychiatry.
[56] J. Stochl,et al. Multilevel ordinal factor analysis of the Positive and Negative Syndrome Scale (PANSS) , 2014, International journal of methods in psychiatric research.