AIMC Topic: Schizophrenia

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Identifying a neuroanatomical signature of schizophrenia, reproducible across sites and stages, using machine learning with structured sparsity.

Acta psychiatrica Scandinavica Sep 21, 2018
OBJECTIVE: Structural MRI (sMRI) increasingly offers insight into abnormalities inherent to schizophrenia. Previous machine learning applications suggest that individual classification is feasible and reliable and, however, is focused on the predicti...
Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Schizophrenia Gray Matter Machine Learning Sensitivity and Specificity Female Male Reproducibility of Results Middle Aged Adult Severity of Illness Index
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Recognition of Schizophrenia with Regularized Support Vector Machine and Sequential Region of Interest Selection using Structural Magnetic Resonance Imaging.

Scientific reports Sep 14, 2018
Structural brain abnormalities in schizophrenia have been well characterized with the application of univariate methods to magnetic resonance imaging (MRI) data. However, these traditional techniques lack sensitivity and predictive value at the indiv...
Schizophrenia Gray Matter Case-Control Studies Humans Image Processing, Computer-Assisted Female Support Vector Machine Adult Magnetic Resonance Imaging Male
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A kernel machine method for detecting higher order interactions in multimodal datasets: Application to schizophrenia.

Journal of neuroscience methods Sep 2, 2018
BACKGROUND: Technological advances are enabling us to collect multimodal datasets at an increasing depth and resolution while with decreasing labors. Understanding complex interactions among multimodal datasets, however, is challenging.
Humans Machine Learning Male ROC Curve Schizophrenia Algorithms Neuroimaging Computer Simulation Multivariate Analysis Female Adult
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Reading the (functional) writing on the (structural) wall: Multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel impairments in schizophrenia.

NeuroImage Jul 25, 2018
This work presents a novel approach to finding linkage/association between multimodal brain imaging data, such as structural MRI (sMRI) and functional MRI (fMRI). Motivated by the machine translation domain, we employ a deep learning model, and consi...
Nerve Net Male Middle Aged Deep Learning Magnetic Resonance Imaging Schizophrenia Psychotic Disorders Gray Matter Connectome Humans Female Adult
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Is there a symptomatic distinction between the affective psychoses and schizophrenia? A machine learning approach.

Schizophrenia research Jul 24, 2018
Dubiety exists over whether clinical symptoms of schizophrenia can be distinguished from affective psychosis, the assumption being that absence of a "point of rarity" indicates lack of nosological distinction, based on prior group-level analyses. Adv...
Aged Young Adult Adult Male Humans Machine Learning Female ROC Curve Schizophrenia Schizophrenic Psychology Affective Disorders, Psychotic Middle Aged Diagnosis, Computer-Assisted Adolescent Cohort Studies
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Machine learning improved classification of psychoses using clinical and biological stratification: Update from the bipolar-schizophrenia network for intermediate phenotypes (B-SNIP).

Schizophrenia research May 26, 2018
Female Adult Male Diagnosis, Computer-Assisted Psychiatric Status Rating Scales Bipolar Disorder Magnetic Resonance Imaging Schizophrenia Humans Psychotic Disorders Machine Learning Pattern Recognition, Automated Phenotype Neuropsychological Tests
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Towards a new classification of stable phase schizophrenia into major and simple neuro-cognitive psychosis: Results of unsupervised machine learning analysis.

Journal of evaluation in clinical practice May 23, 2018
RATIONALE: Deficit schizophrenia, as defined by the Schedule for Deficit Syndrome, may represent a distinct diagnostic class defined by neurocognitive impairments coupled with changes in IgA/IgM responses to tryptophan catabolites (TRYCATs). Adequate...
Neuroimmunomodulation Middle Aged Schizophrenic Psychology Quality of Life Behavioral Symptoms Schizophrenia Psychiatric Status Rating Scales Unsupervised Machine Learning Cytokines Cognitive Reserve Psychotic Disorders Inflammation Neurocognitive Disorders Female Humans Tryptophan Patient Acuity Adult Male
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Machine learning classification of first-episode schizophrenia spectrum disorders and controls using whole brain white matter fractional anisotropy.

BMC psychiatry Apr 10, 2018
BACKGROUND: Early diagnosis of schizophrenia could improve the outcome of the illness. Unlike classical between-group comparisons, machine learning can identify subtle disease patterns on a single subject level, which could help realize the potential...
Anisotropy Schizophrenia Early Diagnosis White Matter Diffusion Tensor Imaging Humans Adult Brain Male Female Case-Control Studies Young Adult Support Vector Machine
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Multi-Site Diagnostic Classification of Schizophrenia Using Discriminant Deep Learning with Functional Connectivity MRI.

EBioMedicine Mar 23, 2018
BACKGROUND: A lack of a sufficiently large sample at single sites causes poor generalizability in automatic diagnosis classification of heterogeneous psychiatric disorders such as schizophrenia based on brain imaging scans. Advanced deep learning met...
Schizophrenia Neural Pathways Demography Humans Male Machine Learning Support Vector Machine Female Magnetic Resonance Imaging Adult Discriminant Analysis
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Investigating brain structural patterns in first episode psychosis and schizophrenia using MRI and a machine learning approach.

Psychiatry research. Neuroimaging Mar 6, 2018
In this study, we employed the Maximum Uncertainty Linear Discriminant Analysis (MLDA) to investigate whether the structural brain patterns in first episode psychosis (FEP) patients would be more similar to patients with chronic schizophrenia (SCZ) o...
Schizophrenia Adult Humans Psychotic Disorders Male Pattern Recognition, Automated Machine Learning Middle Aged Neuroimaging Brain Magnetic Resonance Imaging Female Young Adult
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