Christopher Beevers

Has grant

Professor

University of Texas at Austin

United States

Research Interests

Explore related searches

Professors in United States Professors in Psychology Psychology professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Christopher Beevers is a Professor at the University of Texas at Austin, USA. His research primarily focuses on the intersection of cognitive processes and mental health, particularly concerning depression and anxiety. His recent articles explore topics such as the impact of imagery training on self-schemas, the role of physical activity in mental health, and the efficacy of internet-based cognitive behavioral therapies. Professor Beevers employs advanced methodologies, including machine learning and eye-tracking, to advance the understanding of depressive symptoms and their interventions.

Recent Grants

Grant: Close

Perceptual and decisional processes underlying face perception biases in clinical depression

Open Date: 2017-09-15

Close Date: 2019-08-31

Grant: Close

Development of Attention Bias Modification for Depression

Open Date: 2017-02-01

Close Date: 2020-01-31

Grant: Close

Contribution of Genome-Wide Variation to Cognitive Vulnerability to Depression

Open Date: 2016-09-16

Close Date: 2017-08-31

Grant: Close

Machine Learning and Personalized Prognosis for Depression Treatment

Open Date: 2016-07-01

Close Date: 2018-05-31

Grant: Close

Genetic Influences on Dual Processing Modes of Reward and Punishment Learning

Open Date: 2012-04-01

Close Date: 2018-01-31

Articles (20)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (8)

Suzannah Creech

The University of Texas at Austin Dell Medical School

UNITED STATES

View details

David Schnyer

Professor

University of Texas at Austin

UNITED STATES

View details

Kimberly Ray

University of Texas at Austin

UNITED STATES

View details

Rohan Palmer

Assistant Professor

Emory University

UNITED STATES

View details

Justin Dainer-Best

Associate Professor

Bard College

UNITED STATES

View details

Robert Josephs

Professor

University of Texas at Austin

UNITED STATES

View details

Nicholas C. Jacobson

Dartmouth College

UNITED STATES

View details

Jasper Smits

Professor

University of Texas at Austin

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Christopher Beevers

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (20)

Changes to Positive Self-Schemas After a Positive Imagery Training are Predicted by Participant Characteristics in a Sample with Elevated Depressive Symptoms

Efficacy of traditional and gamified attention bias modification for depression: Study protocol for a randomized controlled trial

The longitudinal relations between physical activity, inflammation, and depression in the Health and Retirement Study

Attention Allocation for Dysphoric Information in Adults with Depression Symptoms Using Eye-tracking and Mouse-tracking

Machine learning meta-analysis identifies individual characteristics moderating cognitive intervention efficacy for anxiety and depression symptoms

Augmenting Internet-Based Cognitive Behavioral Therapy for Major Depressive Disorder with Transcranial Infrared Laser Stimulation

Protocol for a Randomized Controlled Trial of Deprexis: Evaluation of a Web-Based Intervention to Decrease Depression and Restore Functioning in Veterans (Preprint)

Negative self-referent cognition predicts future depression symptom change: an intensive sampling approach

Approach Bias and Tobacco Craving as Mechanisms of the Effect of Approach Bias Retraining on Smoking Cessation

Complex Emotion Dynamics Contribute to the Prediction of Depression: A Machine Learning and Time Series Feature Extraction Approach

Associating broad and clinically defined polygenic scores for depression with depression-related phenotypes

Altered electroencephalography resting state network coherence in remitted MDD

Beyond Face Value: Assessing the Factor Structure of an Eye-Tracking Based Attention Bias Task

Trait attributions and threat appraisals explain why an entity theory of personality predicts greater internalizing symptoms during adolescence

Approach bias retraining to augment smoking cessation: A pilot randomized controlled trial

Symptom-Level Network Analysis Distinguishes Unique Associations of Repetitive Negative Thinking and Experiential Avoidance with Depression and Anxiety in a Transdiagnostic Clinical Sample

Not just “big” data: Importance of sample size, measurement error, and uninformative predictors for developing prognostic models for digital interventions

Web-Based Single Session Intervention for Perceived Control Over Anxiety During COVID-19: Randomized Controlled Trial

Corrigendum to “Approach bias retraining to augment smoking cessation: Study protocol for a randomized controlled trial” [Contemp. Clin. Trials Commun. 14 (2019) 100340] (Contemporary Clinical Trials Communications (2019) 14, (S2451865418301595), (10.1016/j.conctc.2019.100340))

Efficacy of attention bias modification training for depressed adults: a randomized clinical trial

Collaborators (8)

Suzannah Creech

David Schnyer

Kimberly Ray

Rohan Palmer

Justin Dainer-Best

Robert Josephs

Nicholas C. Jacobson

Jasper Smits

Make your next move.