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Measuring maladaptive avoidance: from animal models to clinical anxiety

Neuropsychopharmacology (New York, N.Y.), 2022-04, Vol.47 (5), p.978-986

2022

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Deep phenotyping of attention impairments and the ‘Inattention Biotype’ in Major Depressive Disorder

Psychological medicine, 2020-10, Vol.50 (13), p.2203-2212

2020

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Neural Mechanisms of Cognitive Reappraisal of Negative Self-Beliefs in Social Anxiety Disorder

Biological psychiatry (1969), 2009-12, Vol.66 (12), p.1091-1099

2009

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Mapping Neural Circuit Biotypes to Symptoms and Behavioral Dimensions of Depression and Anxiety

Biological psychiatry (1969), 2022-03, Vol.91 (6), p.561-571

2022

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Single-Subject Anxiety Treatment Outcome Prediction using Functional Neuroimaging

Neuropsychopharmacology (New York, N.Y.), 2014-04, Vol.39 (5), p.1254-1261

2014

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Neural Predictors of Initiating Alcohol Use During Adolescence

The American journal of psychiatry, 2017-02, Vol.174 (2), p.172-185

2017

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Intrinsic reward circuit connectivity profiles underlying symptom and quality of life outcomes following antidepressant medication: a report from the iSPOT-D trial

Neuropsychopharmacology (New York, N.Y.), 2021-03, Vol.46 (4), p.809-819

2021

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Altered cingulate and insular cortex activation during risk-taking in methamphetamine dependence: losses lose impact

Addiction (Abingdon, England), 2014-02, Vol.109 (2), p.237-247

2014

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Individualized relapse prediction: Personality measures and striatal and insular activity during reward-processing robustly predict relapse

Drug and alcohol dependence, 2015-07, Vol.152, p.93-101

2015

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Intrinsic functional connectivity predicts remission on antidepressants: a randomized controlled trial to identify clinically applicable imaging biomarkers

Translational psychiatry, 2018-03, Vol.8 (1), p.57-11, Article 57

2018

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Assessing Emotion Regulation in Social Anxiety Disorder: The Emotion Regulation Interview

Journal of psychopathology and behavioral assessment, 2011-09, Vol.33 (3), p.346-354

2011

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TOWARD THE APPLICATION OF FUNCTIONAL NEUROIMAGING TO INDIVIDUALIZED TREATMENT FOR ANXIETY AND DEPRESSION

Depression and anxiety, 2014-11, Vol.31 (11), p.920-933

2014

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Challenges in Evaluating Technological Interventions for Affect Regulation

IEEE transactions on affective computing, 2023-07, Vol.14 (3), p.2430-2442

2023

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Computational Psychiatry: New Perspectives on Mental Illness

The American journal of psychiatry, 2017-07, Vol.174 (7), p.698-699

2017

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Single-Subject Anxiety Treatment Outcome Prediction using Functional Neuroimaging

Neuropsychopharmacology (New York, N.Y.), 2018-03, Vol.43 (4), p.926-926

2018

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Double Dipping in Machine Learning: Problems and Solutions

Biological psychiatry : cognitive neuroscience and neuroimaging, 2020-03, Vol.5 (3), p.261-263

2020

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Corrigendum to “Individualized relapse prediction: Personality measures and striatal and insular activity during reward-processing robustly predict relapse” [Drug and Alcohol Dependence 152 (2015) 93–101]

Drug and alcohol dependence, 2017-06, Vol.175, p.255-255

2017

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Using neuroimaging to predict relapse in stimulant dependence: A comparison of linear and machine learning models

NeuroImage clinical, 2019-01, Vol.21, p.101676, Article 101676

2019

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Selective effects of social anxiety, anxiety sensitivity, and negative affectivity on the neural bases of emotional face processing

NeuroImage (Orlando, Fla.), 2012-01, Vol.59 (2), p.1879-1887

2012

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Resting state functional connectivity differences following working memory training with massed exposure in individuals with public speaking anxiety

Journal of affective disorders reports, 2024-04, Vol.16, p.100719, Article 100719

2024

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F82. Attention Impairments and the “Inattention Biotype” in Major Depressive Disorder

Biological psychiatry (1969), 2019-05, Vol.85 (10), p.S244-S244

2019

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S35. Using Machine Learning to Characterize Circuit-Based Subtypes in Mood and Anxiety Disorders

Biological psychiatry (1969), 2019-05, Vol.85 (10), p.S310-S310

2019

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Brain activation during fear extinction predicts exposure success

Depression and anxiety, 2017-03, Vol.34 (3), p.257-266

2017

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Functional Connectivity of Reward Circuitry is a Core Mechanistic Biomarker of Treatment Response and Quality of Life in Depression

Biological psychiatry (1969), 2020-05, Vol.87 (9), p.S396-S397

2020

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S78. Developing a Standardized Taxonomy of Circuit Dysfunction Related to Phenotypes of Mood and Anxiety Disorder

Biological psychiatry (1969), 2018-05, Vol.83 (9), p.S377-S377

2018

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Measuring maladaptive avoidance: from animal models to clinical anxiety

Deep phenotyping of attention impairments and the ‘Inattention Biotype’ in Major Depressive Disorder

Neural Mechanisms of Cognitive Reappraisal of Negative Self-Beliefs in Social Anxiety Disorder

Mapping Neural Circuit Biotypes to Symptoms and Behavioral Dimensions of Depression and Anxiety

Single-Subject Anxiety Treatment Outcome Prediction using Functional Neuroimaging

Neural Predictors of Initiating Alcohol Use During Adolescence

Intrinsic reward circuit connectivity profiles underlying symptom and quality of life outcomes following antidepressant medication: a report from the iSPOT-D trial

Altered cingulate and insular cortex activation during risk-taking in methamphetamine dependence: losses lose impact

Individualized relapse prediction: Personality measures and striatal and insular activity during reward-processing robustly predict relapse

Intrinsic functional connectivity predicts remission on antidepressants: a randomized controlled trial to identify clinically applicable imaging biomarkers

Assessing Emotion Regulation in Social Anxiety Disorder: The Emotion Regulation Interview

TOWARD THE APPLICATION OF FUNCTIONAL NEUROIMAGING TO INDIVIDUALIZED TREATMENT FOR ANXIETY AND DEPRESSION

Challenges in Evaluating Technological Interventions for Affect Regulation

Computational Psychiatry: New Perspectives on Mental Illness

Single-Subject Anxiety Treatment Outcome Prediction using Functional Neuroimaging

Double Dipping in Machine Learning: Problems and Solutions

Corrigendum to “Individualized relapse prediction: Personality measures and striatal and insular activity during reward-processing robustly predict relapse” [Drug and Alcohol Dependence 152 (2015) 93–101]

Using neuroimaging to predict relapse in stimulant dependence: A comparison of linear and machine learning models

Selective effects of social anxiety, anxiety sensitivity, and negative affectivity on the neural bases of emotional face processing

Resting state functional connectivity differences following working memory training with massed exposure in individuals with public speaking anxiety

F82. Attention Impairments and the “Inattention Biotype” in Major Depressive Disorder

S35. Using Machine Learning to Characterize Circuit-Based Subtypes in Mood and Anxiety Disorders

Brain activation during fear extinction predicts exposure success

Functional Connectivity of Reward Circuitry is a Core Mechanistic Biomarker of Treatment Response and Quality of Life in Depression

S78. Developing a Standardized Taxonomy of Circuit Dysfunction Related to Phenotypes of Mood and Anxiety Disorder

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