Pattern recognition and functional neuroimaging help to discriminate healthy adolescents at risk for mood disorders from low risk adolescents
about
Multivariate classification of blood oxygen level-dependent FMRI data with diagnostic intention: a clinical perspectiveA critical appraisal of neuroimaging studies of bipolar disorder: toward a new conceptualization of underlying neural circuitry and a road map for future researchNeurobiology of Risk for Bipolar DisorderA review of feature reduction techniques in neuroimagingIdentifying Core Affect in Individuals from fMRI Responses to Dynamic Naturalistic Audiovisual Stimuli.Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.Early life stress and trauma and enhanced limbic activation to emotionally valenced faces in depressed and healthy children.Parametric modulation of neural activity during face emotion processing in unaffected youth at familial risk for bipolar disorder.Bipolar disorder diagnosis: challenges and future directions.Meta-analyses of developing brain function in high-risk and emerged bipolar disorder.Prediction of pediatric bipolar disorder using neuroanatomical signatures of the amygdala.Alterations in regional homogeneity of spontaneous brain activity in late-life subthreshold depression.Brain structural substrates of reward dependence during behavioral performance.What does brain response to neutral faces tell us about major depression? evidence from machine learning and fMRIAutomated, high accuracy classification of Parkinsonian disorders: a pattern recognition approach.MANIA-a pattern classification toolbox for neuroimaging data.In search of neural endophenotypes of postpartum psychopathology and disrupted maternal caregiving.The cortical thickness phenotype of individuals with DISC1 translocation resembles schizophrenia.Investigating the Predictive Value of Functional MRI to Appetitive and Aversive Stimuli: A Pattern Classification ApproachDistinguishing between unipolar depression and bipolar depression: current and future clinical and neuroimaging perspectives.Prediction of lithium response in first-episode mania using the LITHium Intelligent Agent (LITHIA): Pilot data and proof-of-concept.Aberrant executive attention in unaffected youth at familial risk for mood disorders.Clinical application of brain imaging for the diagnosis of mood disorders: the current state of play.Altered neural function to happy faces in adolescents with and at risk for depression.Subgenual Cingulum Microstructure Supports Control of Emotional Conflict.PRoNTo: pattern recognition for neuroimaging toolbox.Pattern classification of valence in depressionFronto-limbic-striatal dysfunction in pediatric and adult patients with bipolar disorder: impact of face emotion and attentional demands.Multivariate pattern analysis strategies in detection of remitted major depressive disorder using resting state functional connectivity.Neutral face distractors differentiate performance between depressed and healthy adolescents during an emotional working memory task.Magnetic resonance imaging and psychiatry: past, present and future.Pattern classification predicts individuals’ responses to affective stimuli
P2860
Q27026903-D634BF0A-DF6A-4A4C-ACAD-DF11CD8C6504Q27027438-3084F218-927A-4192-99C7-83917C71B6E4Q28073124-C72ABA44-5F23-43A9-A8A3-4C0C019ACE1EQ28658984-1EEA1035-1D53-4063-B006-1605F6C8DFF8Q30373847-B581FFD3-DAB7-4868-82FF-373647B2636EQ31063019-BD65BBD4-DA0E-4479-9F93-8E37F02F7944Q33863790-DCD4B411-6471-4BA2-8D30-23D33D2B791EQ34173838-B07EB157-7717-45B4-8959-4EEF8136549BQ34344078-6A4A5DBF-CD16-43F2-97B4-F640700B5BC5Q34441637-4B2872E1-F5A2-42FD-BC35-403CF5F7D822Q34525013-7766381D-2EDE-4B88-A483-FD914E535B6BQ34542351-3430B1E9-CEB0-4F16-8E8F-A47794543496Q34614628-E98F9806-F680-4B34-9797-A81982EA4057Q34656317-F0349961-1737-439A-A83E-5639DE049F62Q34838098-F5F604EA-0C8E-476B-BD80-246EBD57A35BQ35133977-684441BA-D4DF-46E4-8653-44E6150AC764Q35160052-469EC540-24FF-461D-978E-F2BE01287F7AQ36106073-191C9F03-9EBF-4C1D-9A10-D0AAB1373C6EQ36199688-976B6A50-3F62-45EF-AC54-9E36E80EF0A5Q36388848-71BDFCD3-211C-4710-8E3E-6779D5B0D0CAQ36390551-B05C7779-F5BA-439F-98D8-F08DE09F5968Q36478862-507F5B74-DFBD-483F-BCBD-36783A615992Q36788621-AE9871E5-2D97-416F-AD47-1EF1FF0147EBQ36816722-A85039B1-6C2B-400A-B5D0-7F38551A1B10Q36908526-EADD239A-4E3B-4198-85B7-85E0E0DA1094Q37043300-D6C48C32-2A85-42C4-AC24-F0EF8D9F43A0Q37184242-BA1BDE73-6D7E-4E6C-B56B-7A813B6A53EAQ37581134-AE9A0D21-CFEE-4286-93D5-070098A9B784Q41514060-04027783-B453-4E3D-AB7D-CEA8B8281A61Q47955272-3A321862-CA52-4AD0-96CF-D6C1266E9A62Q50739979-2245A3D9-E365-45C9-B3E4-E3C6C0944498Q55453302-84FDDABC-EFB1-4106-A9EA-7554AC97D384
P2860
Pattern recognition and functional neuroimaging help to discriminate healthy adolescents at risk for mood disorders from low risk adolescents
description
2012 nî lūn-bûn
@nan
2012 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Pattern recognition and functi ...... ders from low risk adolescents
@ast
Pattern recognition and functi ...... ders from low risk adolescents
@en
Pattern recognition and functi ...... ders from low risk adolescents
@nl
type
label
Pattern recognition and functi ...... ders from low risk adolescents
@ast
Pattern recognition and functi ...... ders from low risk adolescents
@en
Pattern recognition and functi ...... ders from low risk adolescents
@nl
prefLabel
Pattern recognition and functi ...... ders from low risk adolescents
@ast
Pattern recognition and functi ...... ders from low risk adolescents
@en
Pattern recognition and functi ...... ders from low risk adolescents
@nl
P2093
P2860
P50
P1433
P1476
Pattern recognition and functi ...... ders from low risk adolescents
@en
P2093
David Axelson
Janaina Mourão-Miranda
Leticia Oliveira
Mary L Phillips
Michael Brammer
P2860
P304
P356
10.1371/JOURNAL.PONE.0029482
P407
P577
2012-02-15T00:00:00Z