Discriminative analysis of resting-state functional connectivity patterns of schizophrenia using low dimensional embedding of fMRI.
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Brain network connectivity in individuals with schizophrenia and their siblingsClinical applications of the functional connectomeA Window into the Brain: Advances in Psychiatric fMRIMultivoxel pattern analysis for FMRI data: a reviewTowards the identification of imaging biomarkers in schizophrenia, using multivariate pattern classification at a single-subject levelMultivariate classification of blood oxygen level-dependent FMRI data with diagnostic intention: a clinical perspectiveNeurological imaging: statistics behind the picturesGenerative embedding for model-based classification of fMRI data.Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia.Aberrant coupling within and across the default mode, task-positive, and salience network in subjects at risk for psychosisBrain spontaneous fluctuations in sensorimotor regions were directly related to eyes open and eyes closed: evidences from a machine learning approach.Temporal reliability and lateralization of the resting-state language networkResting-state fMRI: a review of methods and clinical applicationsADHD-200 Global Competition: diagnosing ADHD using personal characteristic data can outperform resting state fMRI measurements.Brain connectivity networks in schizophrenia underlying resting state functional magnetic resonance imaging.Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI DataAberrant cerebellar connectivity in motor and association networks in schizophrenia.Differential Effects of Brain Disorders on Structural and Functional Connectivity.Structural and Functional Brain Abnormalities in Schizophrenia.Cortico-cerebellar functional connectivity and sequencing of movements in schizophreniaSingle subject prediction of brain disorders in neuroimaging: Promises and pitfalls.Increased cortical-limbic anatomical network connectivity in major depression revealed by diffusion tensor imagingWhole-brain functional connectivity identification of functional dyspepsiaIndividual variation in functional brain connectivity: implications for personalized approaches to psychiatric disease.Abnormalities of frontal-parietal resting-state functional connectivity are related to disease activity in patients with systemic lupus erythematosus.Machine learning classification of resting state functional connectivity predicts smoking statusOn the generalizability of resting-state fMRI machine learning classifiers.Neuroimaging in Alzheimer's disease: current role in clinical practice and potential future applications.Topological graph kernel on multiple thresholded functional connectivity networks for mild cognitive impairment classificationSpontaneous brain activity observed with functional magnetic resonance imaging as a potential biomarker in neuropsychiatric disorders.Machine learning and data mining: strategies for hypothesis generation.Characterizing variation in the functional connectome: promise and pitfallsSparse representation of brain aging: extracting covariance patterns from structural MRI.Classification of different therapeutic responses of major depressive disorder with multivariate pattern analysis method based on structural MR scans.Recent developments in multivariate pattern analysis for functional MRI.Reduced connectivity in the self-processing network of schizophrenia patients with poor insight.Decoding lifespan changes of the human brain using resting-state functional connectivity MRI.Extracting multiscale pattern information of fMRI based functional brain connectivity with application on classification of autism spectrum disorders.Computational neuroscience approach to biomarkers and treatments for mental disorders.Towards automated detection of depression from brain structural magnetic resonance images.
P2860
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P2860
Discriminative analysis of resting-state functional connectivity patterns of schizophrenia using low dimensional embedding of fMRI.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
2009年學術文章
@zh
2009年學術文章
@zh-hant
name
Discriminative analysis of res ...... dimensional embedding of fMRI.
@en
Discriminative analysis of res ...... dimensional embedding of fMRI.
@nl
type
label
Discriminative analysis of res ...... dimensional embedding of fMRI.
@en
Discriminative analysis of res ...... dimensional embedding of fMRI.
@nl
prefLabel
Discriminative analysis of res ...... dimensional embedding of fMRI.
@en
Discriminative analysis of res ...... dimensional embedding of fMRI.
@nl
P2093
P1433
P1476
Discriminative analysis of res ...... dimensional embedding of fMRI.
@en
P2093
P304
P356
10.1016/J.NEUROIMAGE.2009.11.011
P407
P577
2009-11-18T00:00:00Z