Neuroanatomy of verbal working memory as a diagnostic biomarker for depression.

scientific article published in October 2008

Neuroanatomy of verbal working memory as a diagnostic biomarker for depression. is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1097/WNR.0B013E328310425E
P698PubMed publication ID18797307
P5875ResearchGate publication ID23263795

P50authorAndre MarquandQ42657453
Cynthia H.Y. FuQ57449105
P2093author name stringMichael J Brammer
Anthony J Cleare
Janaina Mourão-Miranda
P433issue15
P921main subjectbiomarkerQ864574
P304page(s)1507-1511
P577publication date2008-10-01
P1433published inNeuroReportQ15710007
P1476titleNeuroanatomy of verbal working memory as a diagnostic biomarker for depression
P478volume19

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cites work (P2860)
Q37147639A novel approach to probabilistic biomarker-based classification using functional near-infrared spectroscopy
Q35592045A randomized trial on mineralocorticoid receptor blockade in men: effects on stress responses, selective attention, and memory.
Q30573132ADHD-200 Global Competition: diagnosing ADHD using personal characteristic data can outperform resting state fMRI measurements
Q37172614Accuracy of automated classification of major depressive disorder as a function of symptom severity.
Q64997897Acute trajectories of neural activation predict remission to pharmacotherapy in late-life depression.
Q90125148Addressing heterogeneity (and homogeneity) in treatment mechanisms in depression and the potential to develop diagnostic and predictive biomarkers
Q37600718Alterations in visual cortical activation and connectivity with prefrontal cortex during working memory updating in major depressive disorder
Q34838098Automated, high accuracy classification of Parkinsonian disorders: a pattern recognition approach
Q36788621Clinical application of brain imaging for the diagnosis of mood disorders: the current state of play
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.
Q37679399Diagnosis by Volatile Organic Compounds in Exhaled Breath from Lung Cancer Patients Using Support Vector Machine Algorithm.
Q36167245Diagnostic neuroimaging across diseases
Q38955255Does Therapeutic Repetitive Transcranial Magnetic Stimulation Cause Cognitive Enhancing Effects in Patients with Neuropsychiatric Conditions? A Systematic Review and Meta-Analysis of Randomised Controlled Trials
Q34258204Effects of erythropoietin on depressive symptoms and neurocognitive deficits in depression and bipolar disorder
Q38394152Establishing moderators and biosignatures of antidepressant response in clinical care (EMBARC): Rationale and design
Q42282250Evaluation of pattern recognition and feature extraction methods in ADHD prediction
Q34348581Examination of the predictive value of structural magnetic resonance scans in bipolar disorder: a pattern classification approach
Q26800879From estimating activation locality to predicting disorder: A review of pattern recognition for neuroimaging-based psychiatric diagnostics
Q34565649Frontocingulate dysfunction in depression: toward biomarkers of treatment response
Q33697992Highly polygenic architecture of antidepressant treatment response: Comparative analysis of SSRI and NRI treatment in an animal model of depression
Q30385677Identifying Individuals at High Risk of Psychosis: Predictive Utility of Support Vector Machine using Structural and Functional MRI Data.
Q47110584Identifying current and remitted major depressive disorder with the Hurst exponent: a comparative study on two automated anatomical labeling atlases
Q48594983Increased inferior frontal activation during word generation: a marker of genetic risk for schizophrenia but not bipolar disorder?
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
Q33498960Magnetic resonance imaging and prediction of outcome in patients with major depressive disorder
Q36218444Major depressive disorder is associated with broad impairments on neuropsychological measures of executive function: a meta-analysis and review
Q27026903Multivariate classification of blood oxygen level-dependent FMRI data with diagnostic intention: a clinical perspective
Q64904766Neural Correlates of Verbal Working Memory: An fMRI Meta-Analysis.
Q30671588Neuroimaging-based biomarkers in psychiatry: clinical opportunities of a paradigm shift.
Q30756414PROBABILISTIC PREDICTION OF NEUROLOGICAL DISORDERS WITH A STATISTICAL ASSESSMENT OF NEUROIMAGING DATA MODALITIES.
Q35317564Patient classification as an outlier detection problem: an application of the One-Class Support Vector Machine
Q42936400Pattern classification of response inhibition in ADHD: toward the development of neurobiological markers for ADHD.
Q37184242Pattern classification of valence in depression
Q36434385Pattern recognition analyses of brain activation elicited by happy and neutral faces in unipolar and bipolar depression
Q35666041Predicting the Naturalistic Course of Major Depressive Disorder Using Clinical and Multimodal Neuroimaging Information: A Multivariate Pattern Recognition Study
Q33487168Prognostic and diagnostic potential of the structural neuroanatomy of depression
Q86982222Salience Network Functional Connectivity Predicts Placebo Effects in Major Depression
Q34767051Sparse network-based models for patient classification using fMRI.
Q26772163Studying depression using imaging and machine learning methods
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.
Q38269358Toward the application of functional neuroimaging to individualized treatment for anxiety and depression
Q94566937Towards a brain-based predictome of mental illness
Q34556789Towards automated detection of depression from brain structural magnetic resonance images
Q30603105Using genetic, cognitive and multi-modal neuroimaging data to identify ultra-high-risk and first-episode psychosis at the individual level
Q35976147Using structural MRI to identify individuals at genetic risk for bipolar disorders: a 2-cohort, machine learning study
Q48054964Visuospatial planning in unmedicated major depressive disorder and bipolar disorder: distinct and common neural correlates
Q91866864Whole-Brain Exploratory Analysis of Functional Task Response Following Erythropoietin Treatment in Mood Disorders: A Supervised Machine Learning Approach
Q47103448Working memory intervention programs for adults: A systematic review.
Q62497885[Neuroimaging in psychiatry: multivariate analysis techniques for diagnosis and prognosis]

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