Cited by 312Anxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesPsychometric Methodologies and TestingMental Health Research Topics

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

Unreliability as a threat to understanding psychopathology: The cautionary tale of attentional bias.

Open access

Rodebaugh, Thomas L., Scullin, Rachel B., Langer, Julia K., Dixon, David J., Huppert, Jonathan D., Bernstein, Amit, Zvielli, Ariel, Lenze, Eric J.·2016·Journal of Abnormal Psychology

DOI 10.1037/abn0000184PMC PMC4980228

Open this paper in CoChat — free account

Abstract

The use of unreliable measures constitutes a threat to our understanding of psychopathology, because advancement of science using both behavioral and biologically oriented measures can only be certain if such measurements are reliable. Two pillars of the National Institute of Mental Health's portfolio-the Research Domain Criteria (RDoC) initiative for psychopathology and the target engagement initiative in clinical trials-cannot succeed without measures that possess the high reliability necessary for tests involving mediation and selection based on individual differences. We focus on the historical lack of reliability of attentional bias measures as an illustration of how reliability can pose a threat to our understanding. Our own data replicate previous findings of poor reliability for traditionally used scores, which suggests a serious problem with the ability to test theories regarding attentional bias. This lack of reliability may also suggest problems with the assumption (in both theory and the formula for the scores) that attentional bias is consistent and stable across time. In contrast, measures accounting for attention as a dynamic process in time show good reliability in our data. The field is sorely in need of research reporting findings and reliability for attentional bias scores using multiple methods, including those focusing on dynamic processes over time. We urge researchers to test and report reliability of all measures, considering findings of low reliability not just as a nuisance but as an opportunity to modify and improve upon the underlying theory. Full assessment of reliability of measures will maximize the possibility that RDoC (and psychological science more generally) will succeed. (PsycINFO Database Record

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1037/abn0000184

Cites

53 of 53 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Statistical power analyses using G∗Power 3.1: tests for correlation and regression analyses
Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009) · Behavior Research Methods · doi:10.3758/brm.41.4.1149 · Cited by 37,615
ggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
Threat-related attentional bias in anxious and nonanxious individuals: a meta-analytic study.
Bar-Haim, Y., Lamy, D., Pergamin, L., Bakermans-Kranenburg, M. J., & van IJzendoorn, M. H. (2007) · Psychological Bulletin · doi:10.1037/0033-2909.133.1.1 · Cited by 3,721
Testing Mediational Models With Longitudinal Data: Questions and Tips in the Use of Structural Equation Modeling.
Cole, D. A., & Maxwell, S. E. (2003) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.112.4.558 · Cited by 3,605
How to improve R&D productivity: the pharmaceutical industry's grand challenge
Paul, S. M., Mytelka, D. S., Dunwiddie, C. T., Persinger, C. C., Munos, B. H., Lindborg, S. R., & Schacht, A. L. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd3078 · Cited by 3,566
Structured clinical interview for DSM-IV axis I disorders : SCID-I : clinical version : scoresheet
First, M. B., Spitzer, R. L., Gibbon, M., & Williams, J. B. W. (1997) · American Psychiatric Press eBooks · Cited by 3,101
The English Lexicon Project
Balota, D. A., Yap, M. J.-M., Hutchison, K. A., Cortese, M. J., Kessler, B., Loftis, B., Neely, J. H., Nelson, D. L., Simpson, G. B., & Rebecca Treiman, A. (2007) · Behavior Research Methods · doi:10.3758/bf03193014 · Cited by 2,758
Attentional bias in emotional disorders.
MacLeod, C., Mathews, A., & Tata, P. R. (1986) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.95.1.15 · Cited by 2,553
Producing high-dimensional semantic spaces from lexical co-occurrence
Lund, K., & Burgess, C. (1996) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03204766 · Cited by 1,875
The Concept of Validity.
Borsboom, D., Mellenbergh, G. J., & van Heerden, J. (2004) · Psychological Review · doi:10.1037/0033-295x.111.4.1061 · Cited by 1,733

Show all 53 references

Research works printed but not linked: 2

Harvey AG Watkins E Mansell W 2004 Cognitive behavioural processes across psychological disorders New York Oxford University Press
Nunnally JD Bernstein IH 1994 Psychometric theory 3 New York McGraw-Hill

Sorted by citations

Neuroplasticity in cognitive and psychological mechanisms of depression: an integrative model
Price, R. B., & Duman, R. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0615-x · Cited by 739
Psychological Science Needs a Standard Practice of Reporting the Reliability of Cognitive-Behavioral Measurements
Parsons, S. D., Kruijt, A., & Fox, E. (2019) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245919879695 · Cited by 450
Attentional bias for threat: Crisis or opportunity?
McNally, R. J. (2018) · Clinical Psychology Review · doi:10.1016/j.cpr.2018.05.005 · Cited by 272
Anxiety and Threat-Related Attention: Cognitive-Motivational Framework and Treatment
Mogg, K., & Bradley, B. P. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.01.001 · Cited by 210
Fleeting reliability in the dot-probe task
Chapman, A., Devue, C., & Grimshaw, G. M. (2019) · Psychological Research · doi:10.1007/s00426-017-0947-6 · Cited by 172
Anxiety-Linked Attentional Bias: Is It Reliable?
MacLeod, C., Grafton, B., & Notebaert, L. (2019) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-050718-095505 · Cited by 173
Association between negative cognitive bias and depression: A symptom-level approach.
Beevers, C. G., Mullarkey, M. C., Dainer‐Best, J., Stewart, R. A., Labrada, J., Allen, J. J. B., McGeary, J. E., & Shumake, J. (2019) · Journal of Abnormal Psychology · doi:10.1037/abn0000405 · Cited by 158
Computational Psychiatry Needs Time and Context
Hitchcock, P., Fried, E. I., & Frank, M. J. (2021) · Annual Review of Psychology · doi:10.1146/annurev-psych-021621-124910 · Cited by 145
A developmental neuroscience perspective on affect-biased attention
Morales, S., Fu, X., & Pérez‐Edgar, K. E. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.08.001 · Cited by 146
Attention to threat in posttraumatic stress disorder as indexed by eye-tracking indices: a systematic review
Lazarov, A., Suarez‐Jimenez, B., Tamman, A. J. F., Falzon, L., Zhu, X., Edmondson, D. E., & Neria, Y. (2018) · Psychological Medicine · doi:10.1017/s0033291718002313 · Cited by 122
The reliability and stability of visual working memory capacity
Xu, Z., Adam, K. C. S., Fang, X., & Vogel, E. K. (2017) · Behavior Research Methods · doi:10.3758/s13428-017-0886-6 · Cited by 107
The reliability of eyetracking to assess attentional bias to threatening words in healthy individuals
Skinner, I., Hübscher, M., Moseley, G. L., Lee, H., Wand, B. M., Traeger, A. C., Gustin, S. M., & McAuley, J. H. (2017) · Behavior Research Methods · doi:10.3758/s13428-017-0946-y · Cited by 108
Individual differences in computational psychiatry: A review of current challenges
Karvelis, P., Paulus, M. P., & Diaconescu, A. O. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105137 · Cited by 122
A meta-analysis of bias at baseline in RCTs of attention bias modification: No evidence for dot-probe bias towards threat in clinical anxiety and PTSD.
Kruijt, A., Parsons, S. D., & Fox, E. (2019) · Journal of Abnormal Psychology · doi:10.1037/abn0000406 · Cited by 113
Dispositional negativity, cognition, and anxiety disorders: An integrative translational neuroscience framework
Hur, J., Stockbridge, M. D., Fox, A. S., & Shackman, A. J. (2019) · Progress in brain research · doi:10.1016/bs.pbr.2019.03.012 · Cited by 95
Improving the Reliability of Computational Analyses: Model-Based Planning and Its Relationship With Compulsivity
Brown, V. M., Chen, J., Gillan, C. M., & Price, R. B. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.12.019 · Cited by 89
Multimodal Categorical and Dimensional Approaches to Understanding Threat Conditioning and Its Extinction in Individuals With Anxiety Disorders
Marin, M., Hammoud, M. Z., Klumpp, H., Simon, N. M., & Milad, M. R. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.4833 · Cited by 88
Computational Modeling Applied to the Dot-Probe Task Yields Improved Reliability and Mechanistic Insights
Price, R. B., Brown, V., & Siegle, G. J. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.09.022 · Cited by 84
Threat-related attention bias in socioemotional development: A critical review and methodological considerations
Fu, X., & Pérez‐Edgar, K. E. (2018) · Developmental Review · doi:10.1016/j.dr.2018.11.002 · Cited by 92
Food-related attentional bias and its associations with appetitive motivation and body weight: A systematic review and meta-analysis
Hardman, C. A., Jones, A., Burton, S. P., Duckworth, J. J., McGale, L. S., Mead, B. R., Roberts, C. A., Field, M., & Werthmann, J. (2020) · Appetite · doi:10.1016/j.appet.2020.104986 · Cited by 80
A systematic review and meta-analysis of attentional bias toward food in individuals with overweight and obesity
Hagan, K. E., Alasmar, A., Exum, A., Chinn, B., & Forbush, K. T. (2020) · Appetite · doi:10.1016/j.appet.2020.104710 · Cited by 79
Attentional threat biases and their role in anxiety: A neurophysiological perspective
Wieser, M. J., & Keil, A. (2020) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2020.05.004 · Cited by 72
Sufficient reliability of the behavioral and computational readouts of a probabilistic reversal learning task
Waltmann, M., Schlagenhauf, F., & Deserno, L. (2022) · Behavior Research Methods · doi:10.3758/s13428-021-01739-7 · Cited by 69
Test-retest reliability of attention bias for food: Robust eye-tracking and reaction time indices
van Ens, W., Schmidt, U. H., Campbell, I. C., Roefs, A., & Werthmann, J. (2019) · Appetite · doi:10.1016/j.appet.2019.01.020 · Cited by 67
mHealth Assessment and Intervention of Depression and Anxiety in Older Adults
Grossman, J. T., Frumkin, M. R., Rodebaugh, T. L., & Lenze, E. J. (2020) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000255 · Cited by 68
Self-citation
Determining optimal parameters of the self-referent encoding task: A large-scale examination of self-referent cognition and depression.
Dainer‐Best, J., Lee, H. Y., Shumake, J., Yeager, D. S., & Beevers, C. G. (2018) · Psychological Assessment · doi:10.1037/pas0000602 · Cited by 62
The COVID‐19 anxiety syndrome and selective attentional bias towards COVID‐19‐related stimuli in UK residents during the 2020–2021 pandemic
Albery, I. P., Spada, M. M., & Nikčević, A. V. (2021) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.2639 · Cited by 60
Aberrant attentional bias to sad faces in depression and the role of stressful life events: Evidence from an eye-tracking paradigm
Klawohn, J., Bruchnak, A., Burani, K., Meyer, A., Lazarov, A., Bar‐Haim, Y., & Hajcak, G. (2020) · Behaviour Research and Therapy · doi:10.1016/j.brat.2020.103762 · Cited by 69
Not just “big” data: Importance of sample size, measurement error, and uninformative predictors for developing prognostic models for digital interventions
McNamara, M. E., Zisser, M., Beevers, C. G., & Shumake, J. (2022) · Behaviour Research and Therapy · doi:10.1016/j.brat.2022.104086 · Cited by 55
Failed attempts to improve the reliability of the alcohol visual probe task following empirical recommendations.
Jones, A., Christiansen, P., & Field, M. (2018) · Psychology of Addictive Behaviors · doi:10.1037/adb0000414 · Cited by 56
Optimizing assessments of post‐error slowing: A neurobehavioral investigation of a flanker task
Schroder, H. S., Nickels, S., Cárdenas, E. F., Breiger, M., Perlo, S., & Pizzagalli, D. A. (2019) · Psychophysiology · doi:10.1111/psyp.13473 · Cited by 55
The momentary interplay of affect, attention bias, and expectancies as predictors of binge eating in the natural environment
Smith, K. E., Mason, T. B., Juarascio, A., Weinbach, N., Dvorak, R., Crosby, R. D., & Wonderlich, S. A. (2020) · International Journal of Eating Disorders · doi:10.1002/eat.23235 · Cited by 53
Amplification of Positivity Treatment for Anxiety and Depression: A Randomized Experimental Therapeutics Trial Targeting Social Reward Sensitivity to Enhance Social Connectedness
Taylor, C. T., Stein, M. B., Simmons, A. N., He, F., Oveis, C., Shakya, H. B., Sieber, W. J., Fowler, J. H., & Jain, S. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.07.024 · Cited by 53
Attentional biases in human anxiety
Valadez, E. A., Pine, D. S., Fox, N. A., & Bar‐Haim, Y. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104917 · Cited by 65
The impact of negative affect on attention patterns to threat across the first 2 years of life.
Pérez‐Edgar, K. E., Morales, S., LoBue, V., Taber‐Thomas, B. C., Allen, E. K., Brown, K. M., & Buss, K. A. (2017) · Developmental Psychology · doi:10.1037/dev0000408 · Cited by 54
Heterogeneity of the Anxiety-Related Attention Bias: A Review and Working Model for Future Research
Dennis‐Tiwary, T. A., Roy, A. K., Denefrio, S., & Myruski, S. (2019) · Clinical Psychological Science · doi:10.1177/2167702619838474 · Cited by 51
Measuring cognitive outcomes in mindfulness-based intervention research: a reflection on confounding factors and methodological limitations
Vago, D. R., Gupta, R. S., & Lazar, S. W. (2018) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2018.12.015 · Cited by 54
Attention bias towards negative emotional information and its relationship with daily worry in the context of acute stress: An eye-tracking study
Macatee, R. J., Albanese, B. J., Schmidt, N. B., & Cougle, J. R. (2017) · Behaviour Research and Therapy · doi:10.1016/j.brat.2016.12.013 · Cited by 47
Approach Bias Retraining through Virtual Reality in Smokers Willing to Quit Smoking: A Randomized-Controlled Study
Machulska, A., Eiler, T. J., Kleinke, K., Grünewald, A., Brück, R., Jahn, K., Niehaves, B., & Klucken, T. (2021) · Behaviour Research and Therapy · doi:10.1016/j.brat.2021.103858 · Cited by 46
Attentional Bias in Children with Social Anxiety Disorder
Schmidtendorf, S., Wiedau, S., Asbrand, J., Tuschen‐Caffier, B., & Heinrichs, N. (2017) · Cognitive Therapy and Research · doi:10.1007/s10608-017-9880-7 · Cited by 45
Biobehavioral Markers of Attention Bias Modification in Temperamental Risk for Anxiety: A Randomized Control Trial
Liu, P., Taber‐Thomas, B. C., Fu, X., & Pérez‐Edgar, K. E. (2017) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2017.11.016 · Cited by 45
Mapping Dynamic Interactions Among Cognitive Biases in Depression
Everaert, J., Bernstein, A., Joormann, J., & Koster, E. H. W. (2020) · Emotion Review · doi:10.1177/1754073919892069 · Cited by 45
Self-citation
Increased attention allocation to socially threatening faces in social anxiety disorder: A replication study
Lazarov, A., Basel, D., Dolan, S. C., Dillon, D. G., Pizzagalli, D. A., & Schneier, F. R. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.04.063 · Cited by 50
Enhanced Attentional Bias Variability in Post-Traumatic Stress Disorder and its Relationship to More General Impairments in Cognitive Control
Diane Swick, A., & Ashley, V. (2017) · Scientific Reports · doi:10.1038/s41598-017-15226-7 · Cited by 47
Precision clinical trials: a framework for getting to precision medicine for neurobehavioural disorders
Lenze, E. J., Nicol, G. E., Barbour, D. L., Kannampallil, T., Wong, A. W. K., Piccirillo, J., Drysdale, A. T., Sylvester, C. M., Haddad, R., Miller, J. P., et al. (2021) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.200042 · Cited by 43
Self-citation
No Evidence of Reliability Across 36 Variations of the Emotional Dot-Probe Task in 9,600 Participants
Xu, I., Passell, E. J., Strong, R. W., Grinspoon, E. A., Wu, C. Y., Jung, L., Germine, L. T., & Germine, L. T. (2024) · Clinical Psychological Science · doi:10.1177/21677026241253826 · Cited by 48
Multivariate analysis reveals a generalizable human electrophysiological signature of working memory load
Adam, K. C. S., Vogel, E. K., & Awh, E. (2020) · Psychophysiology · doi:10.1111/psyp.13691 · Cited by 42
Attention and interpretation bias modification treatment for social anxiety disorder: A randomized clinical trial of efficacy and synergy
Naim, R., Kivity, Y., Bar‐Haim, Y., & Huppert, J. D. (2017) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2017.10.006 · Cited by 51
Self-citation
Anxiety as a disorder of uncertainty: implications for understanding maladaptive anxiety, anxious avoidance, and exposure therapy
Brown, V. M., Price, R. B., & Dombrovski, A. Y. (2023) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-023-01080-w · Cited by 51
Free-viewing multi-stimulus eye tracking task to index attention bias for alcohol versus soda cues: Satisfactory reliability and criterion validity
Soleymani, A., Ivanov, Y., Mathôt, S., & de Jong, P. J. (2019) · Addictive Behaviors · doi:10.1016/j.addbeh.2019.106117 · Cited by 41
Intergenerational transmission of attentional bias and anxiety
Aktar, E., Bockstaele, B. V., Pérez‐Edgar, K. E., Wiers, R. W. H. J., & Bögels, S. M. (2018) · Developmental Science · doi:10.1111/desc.12772 · Cited by 40
Reliability and validity of measures of attentional bias towards threat in unselected student samples: seek, but will you find?
Bockstaele, B. V., Lamens, L., Salemink, E., Wiers, R. W. H. J., Bögels, S. M., & Nikolaou, K. (2019) · Cognition & Emotion · doi:10.1080/02699931.2019.1609423 · Cited by 38
The interplay among attention, interpretation, and memory biases in depression: Revisiting the combined cognitive bias hypothesis
Everaert, J., & Koster, E. H. W. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816660-4.00009-x · Cited by 42
Vulnerabilities in social anxiety: Integrating intra- and interpersonal perspectives
Ginat-Frolich, R., Gilboa-Schechtman, E., Huppert, J. D., Aderka, I. M., Alden, L. E., Bar-Haim, Y., Becker, E. S., Bernstein, A., Geva, R., Heimberg, R. G., et al. (2024) · Clinical Psychology Review · doi:10.1016/j.cpr.2024.102415 · Cited by 36
Self-citation
Approach-avoidance modification as an add-on in smoking cessation: A randomized-controlled study
Wittekind, C. E., Reibert, E., Takano, K., Ehring, T. W., Pogarell, O. M., & Rüther, T. (2018) · Behaviour Research and Therapy · doi:10.1016/j.brat.2018.12.004 · Cited by 38
Evidence for enhancing childhood obesity treatment from a dual-process perspective: A systematic literature review
Kemps, E., Goossens, L., Petersen, J. M., Verbeken, S., Vervoort, L., & Braet, C. (2020) · Clinical Psychology Review · doi:10.1016/j.cpr.2020.101840 · Cited by 37
Two probes and better than one: Development of a psychometrically reliable variant of the attentional probe task
Grafton, B., Teng, S. S. W., & MacLeod, C. (2021) · Behaviour Research and Therapy · doi:10.1016/j.brat.2021.103805 · Cited by 36
Reliability of Decision-Making and Reinforcement Learning Computational Parameters
Mkrtchian, A., Valton, V., & Roiser, J. P. (2023) · Computational Psychiatry · doi:10.5334/cpsy.86 · Cited by 49
Physically active individuals look for more: An eye‐tracking study of attentional bias
Cheval, B., Miller, M. W., Orsholits, D., Berry, T. R., Sander, D., & Boisgontier, M. P. (2020) · Psychophysiology · doi:10.1111/psyp.13582 · Cited by 41
Toward dynamic phenotypes and the scalable measurement of human behavior
Germine, L. T., Strong, R. W., Singh, S. M., & Sliwinski, M. J. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-0757-1 · Cited by 30
Application of attentional bias modification training to modulate hyperactive error-monitoring in OCD
Klawohn, J., Hajcak, G., Amir, N., Kathmann, N., & Riesel, A. (2020) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2020.07.005 · Cited by 38
Stationary and ambulatory attention patterns are differentially associated with early temperamental risk for socioemotional problems: Preliminary evidence from a multimodal eye-tracking investigation
Fu, X., Nelson, E. E., Borge, M., Buss, K. A., & Pérez‐Edgar, K. E. (2019) · Development and Psychopathology · doi:10.1017/s0954579419000427 · Cited by 37
Attentional bias toward health-threat in health anxiety: a systematic review and three-level meta-analysis
Shi, C., Taylor, S., Witthöft, M., Du, X., Zhang, T., Lu, S., & Ren, Z. (2022) · Psychological Medicine · doi:10.1017/s0033291721005432 · Cited by 32
Attention bias modification reduces neural correlates of response monitoring
Nelson, B. D., Jackson, F. L., Amir, N., & Hajcak, G. (2017) · Biological Psychology · doi:10.1016/j.biopsycho.2017.08.059 · Cited by 32
Psychological Science needs a standard practice of reporting the reliability of cognitive behavioural measurementsPreprint
Parsons, S. D., Kruijt, A., & Fox, E. (2018) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/6ka9z · Cited by 35
Developmental Pathways from Early Behavioral Inhibition to Later Anxiety: An Integrative Review of Developmental Psychopathology Research and Translational Implications
Liu, P., & Pérez‐Edgar, K. E. (2018) · Adolescent Research Review · doi:10.1007/s40894-018-0092-5 · Cited by 36
Psychometrics and Psychological Assessment
Hunsley, J. D., & Allan, T. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108235433.002 · Cited by 33
An Eye-Tracking Study of Attention Biases in Children at High Familial Risk for Depression and Their Parents with Depression
Platt, B., Sfärlea, A., Buhl, C., Löchner, J., Neumüller, J., Thomsen, L. A., Starman‐Wöhrle, K., Salemink, E., & Schulte‐Körne, G. (2021) · Child Psychiatry & Human Development · doi:10.1007/s10578-020-01105-2 · Cited by 33
Self-judgment dissected: A computational modeling analysis of self-referential processing and its relationship to trait mindfulness facets and depression symptoms
Hitchcock, P. F., Britton, W. B., Mehta, K. P., & Frank, M. J. (2022) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-022-01033-9 · Cited by 30
Attention allocation in posttraumatic stress disorder: an eye-tracking study
Lazarov, A., Suarez‐Jimenez, B., Zhu, X., Pine, D. S., Bar‐Haim, Y., & Neria, Y. (2021) · Psychological Medicine · doi:10.1017/s0033291721000581 · Cited by 31
Attention Biases in Previously Depressed Individuals: A Meta-Analysis and Implications for Depression Recurrence
Shamai‐Leshem, D., Linetzky, M., & Bar‐Haim, Y. (2022) · Cognitive Therapy and Research · doi:10.1007/s10608-022-10331-y · Cited by 34
A review of attentional bias modification trainings for depression
Guo, L., Cai, X., Yang, Q., Cui, Q., Huang, L., Jing, X., & Wang, Y. (2022) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14022 · Cited by 29
Facial expression movement enhances the measurement of temporal dynamics of attentional bias in the dot-probe task
Caudek, C., Ceccarini, F., & Sica, C. (2017) · Behaviour Research and Therapy · doi:10.1016/j.brat.2017.05.003 · Cited by 29
Attentional avoidance of emotional information in emotional eating
Deroost, N., & Cserjési, R. (2018) · Psychiatry Research · doi:10.1016/j.psychres.2018.08.053 · Cited by 29
On the (un)reliability of common behavioral and electrophysiological measures from the stop signal task: Measures of inhibition lack stability over time
Thunberg, C., Wiker, T., Bundt, C., & Huster, R. J. (2024) · Cortex · doi:10.1016/j.cortex.2024.02.008 · Cited by 31
A pilot randomized clinical trial of cognitive behavioral therapy versus attentional bias modification for social anxiety disorder: An examination of outcomes and theory-based mechanisms
Huppert, J. D., Kivity, Y., Cohen, L., Strauss, A. Y., Elizur, Y., & Weiss, M. (2018) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2018.08.002 · Cited by 30
Self-citation
The Reliability and Validity of Response-Based Measures of Attention Bias
Meissel, E. E. E., Liu, H., Stevens, E. S., Evans, T. C., Britton, J. C., Letkiewicz, A. M., & Shankman, S. A. (2021) · Cognitive Therapy and Research · doi:10.1007/s10608-021-10212-w · Cited by 26
Attentional bias toward negative stimuli in PTSD: an eye-tracking study
Veerapa, É., Grandgenèvre, P., Vaïva, G., Duhem, S., Fayoumi, M. E., Vinnac, B., Szaffarczyk, S., Wathelet, M., Fovet, T., & D’Hondt, F. (2022) · Psychological Medicine · doi:10.1017/s0033291722003063 · Cited by 26
The effects of attentional bias modification on emotion regulation
Bockstaele, B. V., Notebaert, L., MacLeod, C., Salemink, E., Clarke, P., Verschuère, B., Bögels, S. M., & Wiers, R. W. H. J. (2018) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2018.08.010 · Cited by 26
Different attention bias patterns in anorexia nervosa restricting and binge/purge types
Mann, T. G., Hamdan, S., Bar‐Haim, Y., Lazarov, A., Enoch‐Levy, A., Dubnov‐Raz, G., Treasure, J. L., & Stein, D. J. (2018) · European Eating Disorders Review · doi:10.1002/erv.2593 · Cited by 25
Randomized Controlled Trial Testing Mobile-Based Attention-Bias Modification for Posttraumatic Stress Using Personalized Word Stimuli
Niles, A. N., Woolley, J. D., Tripp, P., Pesquita, A., Vinogradov, S., Neylan, T. C., & O’Donovan, A. (2020) · Clinical Psychological Science · doi:10.1177/2167702620902119 · Cited by 26
Neurocognitive predictors of self‐reported reward responsivity and approach motivation in depression: A data‐driven approach
Hsu, K. J., McNamara, M. E., Shumake, J., Stewart, R. A., Labrada, J., Alario, A. A., Gonzalez, G. D. S., Schnyer, D. M., & Beevers, C. G. (2020) · Depression and Anxiety · doi:10.1002/da.23042 · Cited by 23
Rumination Derails Reinforcement Learning With Possible Implications for Ineffective Behavior
Hitchcock, P., Forman, E. M., Rothstein, N. J., Zhang, F., Kounios, J., Niv, Y., & Sims, C. R. (2021) · Clinical Psychological Science · doi:10.1177/21677026211051324 · Cited by 25
Fast-forwarding disgust conditioning: US pre-exposure facilitates the acquisition of oculomotor avoidance
Armstrong, T., Engel, M., Press, T., Sonstroem, A., & Reed, J. (2019) · Motivation and Emotion · doi:10.1007/s11031-019-09770-0 · Cited by 24
Attentional biases in older adults with generalized anxiety disorder
Cabrera, I., Miranda, D. B., & Montorio, I. (2020) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2020.102207 · Cited by 22
Simulating thoughts to measure and study internal attention in mental health
Amir, I., Ruimi, L., & Bernstein, A. (2021) · Scientific Reports · doi:10.1038/s41598-021-81756-w · Cited by 22
Self-citation
The free-viewing matrix task: A reliable measure of attention allocation in psychopathology
Shamai‐Leshem, D., Abend, R., Arad, G., Azriel, O., Chong, L. J., de Jong, P. J., Dykan, C. D. G., Hajcak, G., Klawohn, J., Meyer, A., et al. (2023) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2023.102789 · Cited by 25
Attentional biases in depression: Relation to disorder severity, rumination, and anhedonia
Krings, A., Heeren, A., Fontaine, P., & Blairy, S. (2020) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2020.152173 · Cited by 23
Trauma, attentional dysregulation, and the development of posttraumatic stress: An investigation of risk pathways
Schäfer, J., Zvielli, A., Höfler, M., Wittchen, H.-U., & Bernstein, A. (2018) · Behaviour Research and Therapy · doi:10.1016/j.brat.2018.01.004 · Cited by 22
Self-citation
Attention allocation in OCD: A systematic review and meta-analysis of eye-tracking-based research
Basel, D., Hallel, H., Dar, R., & Lazarov, A. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.12.141 · Cited by 22
Attentional biases of vigilance and maintenance in obsessive-compulsive disorder: An eye-tracking study
Cludius, B., Wenzlaff, F., Briken, P., & Wittekind, C. E. (2017) · Journal of Obsessive-Compulsive and Related Disorders · doi:10.1016/j.jocrd.2017.12.007 · Cited by 22
Change in negative attention bias mediates the association between attention bias modification training and depression symptom improvement.
Beevers, C. G., Hsu, K. J., Schnyer, D. M., Smits, J. A. J., & Shumake, J. (2021) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000683 · Cited by 20
Competition Effects in Visual Cortex Between Emotional Distractors and a Primary Task in Remitted Depression
Woody, M. L., Miskovic, V., Owens, M., James, K. M., Feurer, C., Sosoo, E. E., & Gibb, B. E. (2017) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2016.12.007 · Cited by 20
Preliminary evidence that computerized approach avoidance training is not associated with changes in fMRI cannabis cue reactivity in non-treatment-seeking adolescent cannabis users
Karoly, H. C., Schacht, J. P., Jacobus, J., Meredith, L. R., Taylor, C. T., Tapert, S. F., Gray, K. M., & Squeglia, L. M. (2019) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2019.04.007 · Cited by 20
Is the Hebb repetition task a reliable measure of individual differences in sequence learning?
Bogaerts, L., Siegelman, N., Ben-Porat, T., & Frost, R. (2017) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2017.1307432 · Cited by 19
Temporal dynamics of anxiety-related attentional bias: is affective context a missing piece of the puzzle?
Cox, J. A., Christensen, B. K., & Goodhew, S. C. (2017) · Cognition & Emotion · doi:10.1080/02699931.2017.1386619 · Cited by 19
Neural correlates of attention bias to masked facial threat cues: Examining children at-risk for social anxiety disorder
Auday, E. S., Taber‐Thomas, B. C., & Pérez‐Edgar, K. E. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.04.003 · Cited by 19
Attentional Bias Modification in Virtual Reality – A VR-Based Dot-Probe Task With 2D and 3D Stimuli
Ma, L., Kruijt, A., Nöjd, S., Zetterlund, E., Andersson, G., & Carlbring, P. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02526 · Cited by 18
Meta-Awareness of Dysregulated Emotional Attention
Ruimi, L., Hadash, Y., Zvielli, A., Amir, I., Goldstein, P., & Bernstein, A. (2018) · Clinical Psychological Science · doi:10.1177/2167702618776948 · Cited by 17
Self-citation
Neural Connectivity Subtypes Predict Discrete Attentional-Bias Profiles Among Heterogeneous Anxiety Patients
Price, R. B., Beltz, A. M., Woody, M. L., Cummings, L. R., Gilchrist, D., & Siegle, G. J. (2020) · Clinical Psychological Science · doi:10.1177/2167702620906149 · Cited by 18

Authors: Rodebaugh, T. L., Scullin, R. B., Langer, J. K., Dixon, D. J., Huppert, J. D., Bernstein, A., Zvielli, A., & Lenze, E. J.
Affiliations: Hebrew University of Jerusalem (IL)
University of Haifa (IL)
ORCID: Rodebaugh, Thomas L.
Langer, Julia K.
Dixon, David J.
Huppert, Jonathan D.
Bernstein, Amit
Lenze, Eric J.
Venue: Journal of Abnormal Psychology
Publisher: American Psychological Association (APA)
Published: 2016-08
Volume: 125
Issue: 6
Pages: 840-851
ISSN: 0021-843X (ISSN-L)
1939-1846
DOI: 10.1037/abn0000184
PMC: PMC4980228
OpenAlex: W2465300579
Cited by: 312
References: 53
Citations by year: 2026: 21 · 2025: 24 · 2024: 28 · 2023: 39 · 2022: 41 · 2021: 40 · 2020: 37 · 2019: 24 · 2018: 33 · 2017: 22 · 2016: 2
FWCI: 38.33
Type: journal article
Language: en
Update notices: correction (2016-09-01)
Open access: green
www.ncbi.nlm.nih.gov
Locations: Journal of Abnormal Psychology (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Funders: National Institutes of Health (UL1TR000448)
National Institute of Mental Health (R21MH090308, R01MH070547)
National Center for Research Resources (UL1RR024992)
National Center for Advancing Translational Sciences
Topics: Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Keywords: attentional bias, measurement reliability, psychopathology, Research Domain Criteria, target engagement, replication, individual differences, reliability reporting
MeSH terms: Attentional Bias, Mental Disorders, Humans, Individuality, Models, Psychological, National Institute of Mental Health (U.S.), Research Design, United States, Reproducibility of Results

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Unreliability as a threat to understanding psychopathology: The cautionary tale of attentional bias.

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks