Pattern classification of sad facial processing: toward the development of neurobiological markers in depression.

scientific article published on 22 October 2007

Pattern classification of sad facial processing: toward the development of neurobiological markers in depression. is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1016/J.BIOPSYCH.2007.08.020
P698PubMed publication ID17949689

P50authorSteven C. R. WilliamsQ21094780
Andre MarquandQ42657453
Sergi Costafreda GonzalezQ42869271
Janaina Mourão-MirandaQ92509377
P2093author name stringMichael J Brammer
Cynthia H Y Fu
Akash Khanna
P433issue7
P407language of work or nameEnglishQ1860
P304page(s)656-662
P577publication date2007-10-22
P1433published inBiological PsychiatryQ4914961
P1476titlePattern classification of sad facial processing: toward the development of neurobiological markers in depression.
P478volume63

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cites work (P2860)
Q35325857A Bayesian model of category-specific emotional brain responses
Q30942265A MRS study of metabolic alterations in the frontal white matter of major depressive disorder patients with the treatment of SSRIs
Q30859701A Novel Support Vector Classifier for Longitudinal High-dimensional Data and Its Application to Neuroimaging Data
Q25894532A Sensitive and Specific Neural Signature for Picture-Induced Negative Affect
Q48239518A functional MRI marker may predict the outcome of electroconvulsive therapy in severe and treatment-resistant depression
Q37147639A novel approach to probabilistic biomarker-based classification using functional near-infrared spectroscopy
Q37271426A probabilistic model of functional brain connectivity network for discovering novel biomarkers
Q28658984A review of feature reduction techniques in neuroimaging
Q30573132ADHD-200 Global Competition: diagnosing ADHD using personal characteristic data can outperform resting state fMRI measurements
Q64258884Abnormal Resting-State Functional Connectivity in the Whole Brain in Lifelong Premature Ejaculation Patients Based on Machine Learning Approach
Q37172614Accuracy of automated classification of major depressive disorder as a function of symptom severity.
Q90125148Addressing heterogeneity (and homogeneity) in treatment mechanisms in depression and the potential to develop diagnostic and predictive biomarkers
Q34661207Affective cognition and its disruption in mood disorders
Q34314487Altered cerebellar functional connectivity with intrinsic connectivity networks in adults with major depressive disorder
Q36843451Amygdala and dorsomedial hyperactivity to emotional faces in youth with remitted Major Depression
Q46039272Amygdala excitability to subliminally presented emotional faces distinguishes unipolar and bipolar depression: an fMRI and pattern classification study.
Q34532241Annual research review: progress in using brain morphometry as a clinical tool for diagnosing psychiatric disorders
Q57700286Assessment of Translocator Protein Density, as Marker of Neuroinflammation, in Major Depressive Disorder: A Pilot, Multicenter, Comparative, Controlled, Brain PET Study (INFLADEP Study)
Q34733398Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment
Q45841362Baseline activity predicts working memory load of preceding task condition.
Q34247513Biomarkers to predict antidepressant response
Q37618560Brain imaging correlates of cognitive impairment in depression
Q39134850Brain morphometric biomarkers distinguishing unipolar and bipolar depression. A voxel-based morphometry-pattern classification approach
Q34105173Can depression be diagnosed by response to mother's face? A personalized attachment-based paradigm for diagnostic fMRI
Q36710044Cannabis use in early adolescence: Evidence of amygdala hypersensitivity to signals of threat
Q27304956Classification of autistic individuals and controls using cross-task characterization of fMRI activity
Q34345460Classification of different therapeutic responses of major depressive disorder with multivariate pattern analysis method based on structural MR scans
Q37466771Classifying social anxiety disorder using multivoxel pattern analyses of brain function and structure
Q36788621Clinical application of brain imaging for the diagnosis of mood disorders: the current state of play
Q37179053Cocaine dependence and thalamic functional connectivity: a multivariate pattern analysis
Q46196648Comparing within-subject classification and regularization methods in fMRI for large and small sample sizes
Q36159639Cortical thickness predicts the first onset of major depression in adolescence
Q33947947Decoding continuous variables from neuroimaging data: basic and clinical applications
Q37199212Decoding post-stroke motor function from structural brain imaging
Q64062806Decreased Response to Positive Facial Affect in a Depressed Cohort in the Dorsal Striatum During a Working Memory Task-A Preliminary fMRI Study
Q48171134Degree of contribution (DoC) feature selection algorithm for structural brain MRI volumetric features in depression detection
Q48411297Diagnosing different binge-eating disorders based on reward-related brain activation patterns.
Q34109804Diagnostic and therapeutic utility of neuroimaging in depression: an overview
Q30837129Diagnostic classification of specific phobia subtypes using structural MRI data: a machine-learning approach
Q36167245Diagnostic neuroimaging across diseases
Q30490113Diagnostic potential of structural neuroimaging for depression from a multi-ethnic community sample
Q38965603Differing brain structural correlates of familial and environmental risk for major depressive disorder revealed by a combined VBM/pattern recognition approach.
Q44787864Discriminating unipolar and bipolar depression by means of fMRI and pattern classification: a pilot study.
Q37112091Disease state prediction from resting state functional connectivity
Q47720413Disrupted engagement of networks supporting hot and cold cognition in remitted major depressive disorder
Q47286786Distinctive Neuroanatomical Substrates for Depression in Bipolar Disorder versus Major Depressive Disorder.
Q34258204Effects of erythropoietin on depressive symptoms and neurocognitive deficits in depression and bipolar disorder
Q47203250Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models.
Q33994225Emotion perception, but not affect perception, is impaired with semantic memory loss
Q39131360Estimating personalized diagnostic rules depending on individualized characteristics
Q34348581Examination of the predictive value of structural magnetic resonance scans in bipolar disorder: a pattern classification approach
Q47969649Executive Functioning at Baseline Prospectively Predicts Depression Treatment Response.
Q30844517First steps in using machine learning on fMRI data to predict intrusive memories of traumatic film footage
Q89722996Fractional Anisotropy changes in Parahippocampal Cingulum due to Alzheimer's Disease
Q26800879From estimating activation locality to predicting disorder: A review of pattern recognition for neuroimaging-based psychiatric diagnostics
Q33935792Functional brain imaging of nicotinic effects on higher cognitive processes
Q35086001Functional brain imaging studies of youth depression: a systematic review
Q30000950Generative embedding for model-based classification of fMRI data
Q40291113Group-regularized individual prediction: theory and application to pain
Q36685572Helping oxytocin deliver: considerations in the development of oxytocin-based therapeutics for brain disorders
Q91709937High-Frequency rTMS of the Motor Cortex Modulates Cerebellar and Widespread Activity as Revealed by SVM
Q47110584Identifying current and remitted major depressive disorder with the Hurst exponent: a comparative study on two automated anatomical labeling atlases
Q48614919Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis.
Q31103123Increased cortical-limbic anatomical network connectivity in major depression revealed by diffusion tensor imaging
Q48594983Increased inferior frontal activation during word generation: a marker of genetic risk for schizophrenia but not bipolar disorder?
Q39784768Interaction between a history of depression and rumination on neural response to emotional faces.
Q36199688Investigating the Predictive Value of Functional MRI to Appetitive and Aversive Stimuli: A Pattern Classification Approach
Q36238066Long-Term Effects of Acute Stress on the Prefrontal-Limbic System in the Healthy Adult
Q35133977MANIA-a pattern classification toolbox for neuroimaging data.
Q36806105Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression
Q36383001Machine learning approaches for integrating clinical and imaging features in late-life depression classification and response prediction
Q57167744Machine learning in major depression: From classification to treatment outcome prediction
Q35795101Magnetic Resonance Imaging Measures of Brain Structure to Predict Antidepressant Treatment Outcome in Major Depressive Disorder
Q30724972Magnetic resonance imaging predictors of treatment response in late-life depression
Q36096664Major depressive disorder: new clinical, neurobiological, and treatment perspectives
Q42048120Measuring abnormal brains: building normative rules in neuroimaging using one-class support vector machines
Q45960669Multi-centre diagnostic classification of individual structural neuroimaging scans from patients with major depressive disorder.
Q33880016Multi-voxel pattern analysis of fMRI data predicts clinical symptom severity
Q30934234Multimodal functional and structural neuroimaging investigation of major depressive disorder following treatment with duloxetine.
Q27026903Multivariate classification of blood oxygen level-dependent FMRI data with diagnostic intention: a clinical perspective
Q41514060Multivariate pattern analysis strategies in detection of remitted major depressive disorder using resting state functional connectivity
Q94554962Multivariate pattern classification on BOLD activation pattern induced by deep brain stimulation in motor, associative, and limbic brain networks
Q92488333Neural correlates of weighted reward prediction error during reinforcement learning classify response to cognitive behavioral therapy in depression
Q37053867Neural network activation during a stop-signal task discriminates cocaine-dependent from non-drug-abusing men
Q41920722Neuroanatomical classification in a population-based sample of psychotic major depression and bipolar I disorder with 1 year of diagnostic stability
Q33968419Neuroimaging in Alzheimer's disease: current role in clinical practice and potential future applications
Q30671588Neuroimaging-based biomarkers in psychiatry: clinical opportunities of a paradigm shift.
Q89071823Pathways to Neuroprediction: Opportunities and challenges to prediction of treatment response in depression
Q35317564Patient classification as an outlier detection problem: an application of the One-Class Support Vector Machine
Q36774326Pattern classification of brain activation during emotional processing in subclinical depression: psychosis proneness as potential confounding factor
Q37184242Pattern classification of valence in depression
Q33806386Pattern of neural responses to verbal fluency shows diagnostic specificity for schizophrenia and bipolar disorder
Q36434385Pattern recognition analyses of brain activation elicited by happy and neutral faces in unipolar and bipolar depression
Q34166129Pattern recognition and functional neuroimaging help to discriminate healthy adolescents at risk for mood disorders from low risk adolescents
Q28750622Pooling FMRI data: meta-analysis, mega-analysis and multi-center studies
Q90517125Predicting individual clinical trajectories of depression with generative embedding
Q57435671Predicting methylphenidate response in attention deficit hyperactivity disorder: A preliminary study
Q35666041Predicting the Naturalistic Course of Major Depressive Disorder Using Clinical and Multimodal Neuroimaging Information: A Multivariate Pattern Recognition Study
Q44892036Prediction of illness severity in patients with major depression using structural MR brain scans
Q34525013Prediction of pediatric bipolar disorder using neuroanatomical signatures of the amygdala
Q35163546Prediction of pediatric unipolar depression using multiple neuromorphometric measurements: a pattern classification approach
Q33487168Prognostic and diagnostic potential of the structural neuroanatomy of depression
Q34351914Recent developments in multivariate pattern analysis for functional MRI.
Q37409593Reduced anterior temporal and hippocampal functional connectivity during face processing discriminates individuals with social anxiety disorder from healthy controls and panic disorder, and increases following treatment
Q64057083Resting state functional connectivity predictors of treatment response to electroconvulsive therapy in depression
Q34095696Resting-state functional connectivity abnormalities in first-onset unmedicated depression
Q86982222Salience Network Functional Connectivity Predicts Placebo Effects in Major Depression
Q30474733Seven topics in functional magnetic resonance imaging
Q34767051Sparse network-based models for patient classification using fMRI.
Q37724224Structural and functional brain imaging in adult attention-deficit/hyperactivity disorder
Q39162637Structural-functional brain changes in depressed patients during and after electroconvulsive therapy.
Q26772163Studying depression using imaging and machine learning methods
Q64056664Support Vector Machine for Analyzing Contributions of Brain Regions During Task-State fMRI
Q34279073The 2nd Schizophrenia International Research Society Conference, 10-14 April 2010, Florence, Italy: summaries of oral sessions
Q38582239The role of neuroimaging in diagnosis and personalized medicine--current position and likely future directions.
Q30941785Toward Probabilistic Diagnosis and Understanding of Depression Based on Functional MRI Data Analysis with Logistic Group LASSO.
Q92692795Towards Precision Medicine in Psychosis: Benefits and Challenges of Multimodal Multicenter Studies-PSYSCAN: Translating Neuroimaging Findings From Research into Clinical Practice
Q94566937Towards a brain-based predictome of mental illness
Q34556789Towards automated detection of depression from brain structural magnetic resonance images
Q27026841Towards the identification of imaging biomarkers in schizophrenia, using multivariate pattern classification at a single-subject level
Q41363961Unreliability of putative fMRI biomarkers during emotional face processing
Q45959309Unsupervised classification of major depression using functional connectivity MRI.
Q30432820Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition
Q37371825Using structural neuroanatomy to identify trauma survivors with and without post-traumatic stress disorder at the individual level.
Q35175645Utilizing temporal information in fMRI decoding: classifier using kernel regression methods
Q34656317What does brain response to neutral faces tell us about major depression? evidence from machine learning and fMRI
Q30578730What makes a pattern? Matching decoding methods to data in multivariate pattern analysis
Q42481509Will there be a role for neuroimaging in clinical psychiatry?
Q89432159Youth at-risk for serious mental illness: methods of the PROCAN study
Q62497885[Neuroimaging in psychiatry: multivariate analysis techniques for diagnosis and prognosis]
Q82261891[Neuroimaging markers: their role for differential diagnosis and therapeutic decisions in personalized psychiatry]
Q22252346“Cool” Inferior Frontostriatal Dysfunction in Attention-Deficit/Hyperactivity Disorder Versus “Hot” Ventromedial Orbitofrontal-Limbic Dysfunction in Conduct Disorder: A Review

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