Publications

Current or former lab members are marked with *

2024

Kaiser, R. H., Moser, A. D.*, Neilson, C.*, Jones, J.*, Peterson, E.C.*, Ruzic, L.*, Rosenberg, B. M., Hough, C. M., Sandman, C., Schneck, C. D., & Miklowitz, D. J. (2024). Neurocognitive risk phenotyping to predict mood symptoms in adolescence. Journal of Psychopathology and Clinical Science. 133(1), 90-102. doi: 10.1037/abn0000866

Cheng, Z.*, Moser, A. D.*, Jones, M., & Kaiser, R. H. (2024). Reinforcement learning and working memory in mood disorders: A computational analysis in a developmental transdiagnostic sample.Journal of Affective Disorders, 344, 423-431. doi: 10.1016/j.jad.2023.10.084

Pizzagalli, D. A., Whitton, A., Treadway, M., Rutherford, A., Kumar, P., Ironside, M., Kaiser, R. H., Ren, B. & Dan, R. (2024). Brain-based graph-theoretical predictive modeling to map the trajectory of anhedonia, impulsivity, and hypomania from the human functional connectome. Neuropsychopharmacology, doi: 10.21203/rs.3.rs-3168186/v1

Moser, A. D.*, Neilson, C.*, Peterson, E. C.*, Pittman Wagers, T., Fassett-Carman, A. N., Wicks, J. J., Taylor, M. M., Snyder, H. R., & Kaiser, R. H. (2024). Self-guided mindfulness reduces college student anxiety: A scalable, preregistered pilot study. Mindfulness, 15, 1362-1374 doi: 10.1007/s12671-024-02364-z

Kalyanasundaram, S.*, Phanord, C.*, Ruzic, L.*, Kaiser, H. R.*, & Chaspari, T.* (2024, October 10-13). Rethinking Machine Learning for Mental Health: A Comparative Analysis of Large Language Models in Sadness Classification [Poster presentation]. International Conference on Biomedical and Health Informatics, Houston, TX, United States.

2023

Moser, A. D.,* Batt, M. M., Bidwell, L. C., & Kaiser, R. H. (2023) Cannabidiol and depression: Promise and challenge in building an evidence base. Adolescent Psychiatry, 13(3), 160-175. doi: 10.2174/0122106766234102230919064455

Fassett-Carman, A. N.,* Moser, A. D.*, Ruzic, L.*, Neilson, C.*, Jones, J.*, Schneck, C., & Kaiser, R. H. (2023). Amygdala and nucleus accumbens activation during reward anticipation moderates the association between life stressor frequency and depression symptoms. Journal of Affective Disorders,330, 309-318. doi: 10.1016/j.jad.2023.02.149

Niu, X., Taylor, M. M., Wicks, J., Fassett-Carman, A. N.*, Moser, A. D.*, Neilson, C.*, Peterson, E. C.*, Kaiser, R. H. & Snyder, H. R. (2023) Longitudinal relations between emotion regulation and internalizing symptoms in emerging adults during the Covid-19 pandemic. Cognitive Therapy and Research,47(3), 350-366. doi: 10.1007/s10608-023-10366-9

Kaiser, R. H., Moser, A. D.*, Neilson, C.*, Jones, J.*, Peterson, E. C.*, Hough, C., Rosenberg, B. M., Sandman, C. F., Schneck, C. D., Miklowitz, D. J., & Friedman, N. P. (2023). Mood symptom dimensions and developmental differences in neurocognition in adolescence. Clinical Psychological Science, 11(2), 308-325. doi: 10.1016/j.biopsych.2022.03.020

Fassett-Carman, A. N.*, Moser, A. D.*, Ruzic, L.*, Neilson, C.*, Jones, J.*, Barnes-Horowitz, S.*, Schneck, C.D., & Kaiser, R. H. (2023). Amygdala and nucleus accumbens activation during reward anticipation moderates the association between life stressor frequency and depressive symptoms. Journal of Affective Disorders, 330, 309-318.

Niu, X., Taylor, M. M., Wicks, J. J., Fassett-Carman, A. N.*, Moser, A. D.*, Neilson, C.*, Peterson, E. C.*, Kaiser, R. H., & Snyder, H. R. (2023). Longitudinal Relations Between Emotion Regulation and Internalizing Symptoms in Emerging Adults During the Covid-19 PandemicCognitive therapy and research, 1-17.​

2022

Snyder, H. R., Silton, R. L., Hankin, B. L., Smolker, H. R., Kaiser, R. H., Banich, M. T., Miller, G. A., & Heller, W.(2022). The Dimensional Structure of Internalizing Psychopathology: Relation to Diagnostic CategoriesClinical psychological science. https://doi.org/10.1177/21677026221119483.

Wicks, J. J., Taylor, M. M., Fassett-Carman, A. N.*, Neilson, C. R.*, Peterson, E. C.*, Kaiser, R. H., & Snyder, H. R. (2022). Coping with COVID Stress: Maladaptive and Adaptive Response Styles Predicting College Student Internalizing Symptom DimensionsJournal of Psychopathology and Behavioral Assessment44(4), 1004-1020.

Kaiser, R. H., Moser, A. D.*, Neilson, C.*, Peterson, E. C.*, Jones, J.*, Hough, C. M., Rosenberg, B. M., Sandman, C.F., Schneck, C.D., Miklowitz, D.J., & Friedman, N. P. (2022). Mood Symptom Dimensions and Developmental Differences in Neurocognition in AdolescenceClinical Psychological Science, 21677026221111389.

Peterson, E. C.*, Snyder, H. R., Neilson, C.*, Rosenberg, B. M., Hough, C. M., Sandman, C. F., Ohanian, L., Garcia, S., Kotz, J., Finegan, J.*, Ryan, C. A.*, Gyimah, A.*, Sileo, S.*, Miklowitz, D. J., Friedman, N. P., & Kaiser, R. H. (2022). General and Specific Dimensions of Mood Symptoms Are Associated With Impairments in Common Executive Function in Adolescence and Young AdulthoodFrontiers in human neuroscience16, 838645. 

Wicks, J. J., Taylor, M. M., Fassett-Carman, A. N.*, Neilson, C. R.*, Peterson, E. C.*, Kaiser, R. H., & Snyder, H. R. (2022). Coping with COVID Stress: Maladaptive and Adaptive Response Styles Predicting College Student Internalizing Symptom DimensionsJournal of psychopathology and behavioral assessment, 1-17.

Kaiser, R. H., Chase, H. W., Phillips, M. L., Deckersbach, T., Parsey, R. V., Fava, M., McGrath, P. J., Weissman, M., Oquendo, M. A., McInnis, M. G., Carmody, T., Cooper, C. M., Trivedi, M. H., & Pizzagalli, D. A. (2022). Dynamic Resting-State Network Biomarkers of Antidepressant Treatment ResponseBiological Psychiatry92(7), 533–542. 

Belleau, E. L., Bolton, T. A. W., Kaiser, R. H., Clegg, R., Cárdenas, E., Goer, F., Pechtel, P., Beltzer, M., Vitaliano, G., Olson, D. P., Teicher, M. H., & Pizzagalli, D. A. (2022). Resting state brain dynamics: Associations with childhood sexual abuse and major depressive disorderNeuroImage: Clinical36.

Pechtel, P., Belleau, E. L., Kaiser, R. H., Whitton, A. E., Beltzer, M., Clegg, R., Goer, F., Vitaliano, G., Teicher, M. H., & Pizzagalli, D. A. (2022). Stress and reward: A multimodal assessment of childhood sexual abuseNeurobiology of Stress.

Murray, L., Welsh, J. C., Johnson, C. G., Kaiser, R. H., Farchione, T. J., & Janes, A. C. (2022). Alcohol-and non-alcohol-related interference: An fMRI study of treatment-seeking adults with alcohol use disorderDrug and Alcohol Dependence235, 109462.

Freis, S. M., Morrison, C. L., Smolker, H. R., Banich, M. T., Kaiser, R. H., Hewitt, J. K., & Friedman, N. P. (2022). Executive functions and impulsivity as transdiagnostic correlates of psychopathology in childhood: A behavioral genetic analysisFrontiers in human neuroscience, 150.

Smolker, H. R., Wang, K., Luciana, M., Bjork, J. M., Gonzalez, R., Barch, D. M., McGlade, E. C., Kaiser, R. H., Friedman, N. P., Hewitt, J. K., & Banich, M. T. (2022). The Emotional Word-Emotional Face Stroop task in the ABCD study: Psychometric validation and associations with measures of cognition and psychopathologyDevelopmental Cognitive Neuroscience53.

2021

Peterson, E. C.*, Rosenberg, B. M., Hough, C. M., Sandman, C. F., Neilson, C.*, Miklowitz, D. J., & Kaiser, R. H.(2021). Behavioral mediators of stress-related mood symptoms in adolescence & young adulthoodJournal of Affective Disorders294, 94-102.

Wang, K. S., Brown, K., Frederick, B. B., Moran, L. V., Olson, D., Pizzagalli, D. A., Kaiser, R. H., & Janes, A. C. (2021). Nicotine acutely alters temporal properties of resting brain statesDrug and Alcohol Dependence226. https://doi.org/10.1016/j.drugalcdep.2021.108846

Murray, L., Maurer, J. M., Peechatka, A. L., Frederick, B. B., Kaiser, R. H., & Janes, A. C. (2021). Sex differences in functional network dynamics observed using coactivation pattern analysisCognitive Neuroscience12(3-4), 120-130.

2020

Rosenberg, B. M., Mennigen, E., Monti, M. M., & Kaiser, R. H. (2020). Functional Segregation of Human Brain Networks Across the Lifespan: An Exploratory Analysis of Static and Dynamic Resting-State Functional ConnectivityFrontiers in neuroscience14, 561594.

Wang, K. S., Kaiser, R. H., Peechatka, A. L., Frederick, B. B., & Janes, A. C. (2020). Temporal dynamics of large-scale networks predict neural cue reactivity and cue-induced cravingBiological Psychiatry: Cognitive Neuroscience and Neuroimaging5(11), 1011-1018.

Ang, Y. S., Kaiser, R., Deckersbach, T., Almeida, J., Phillips, M. L., Chase, H. W., Webb, C. A., Parsey, R., Fava, M., McGrath, P., Weissman, M., Adams, P., Deldin, P., Oquendo, M. A., McInnis, M. G., Carmody, T., Bruder, G., Cooper, C. M., Chin Fatt, C. R., Trivedi, M. H., … Pizzagalli, D. A. (2020). Pretreatment Reward Sensitivity and Frontostriatal Resting-State Functional Connectivity Are Associated With Response to Bupropion After Sertraline NonresponseBiological psychiatry88(8), 657–667.

Janes, A. C., Peechatka, A. L., Frederick, B. B., & Kaiser, R. H. (2020). Dynamic functioning of transient resting‐state coactivation networks in the Human Connectome ProjectHuman brain mapping41(2), 373-387.

Liu, Y., Admon, R., Mellem, M. S., Belleau, E. L., Kaiser, R. H., Clegg, R., Beltzer, M., Goer, F., Vitaliano, G., Ahammad, P., & Pizzagalli, D. A. (2020). Machine learning identifies large-scale reward-related activity modulated by dopaminergic enhancement in major depressionBiological Psychiatry: Cognitive Neuroscience and Neuroimaging5(2), 163-172.

2019

Kaiser, R.H., Peterson, E.*, Kang, M.S., Van Der Feen, J., Aguirre, B., Clegg, R., Goer, F., Esposito, E.C., Auerbach, R.P., & Pizzagalli, D.A. (2019). Frontoinsular Network Markers of Current and Future Adolescent Mood HealthBiological Psychiatry: Cognitive Neuroscience and Neuroimaging4(8), 715-725.

Kaiser, R. H., Kang, M. S., Lew, Y., Van Der Feen, J., Aguirre, B., Clegg, R., Goer, F., Esposito, E., Auerbach, R. P., Hutchison, R. M., & Pizzagalli, D. A. (2019). Abnormal frontoinsular-default network dynamics in adolescent depression and rumination: a preliminary resting-state co-activation pattern analysisNeuropsychopharmacology: At the Intersection of Brain, Behavior, and Therapeutics44(9), 1604–1612.

Olson, E. A., Kaiser, R. H., Pizzagalli, D. A., Rauch, S. L., & Rosso, I. M. (2019). Regional prefrontal resting-state functional connectivity in posttraumatic stress disorderBiological Psychiatry: Cognitive Neuroscience and Neuroimaging4(4), 390-398.

Hough, C., Sandman, C., Ohanian, L., Garcia, S., & Kaiser, R. (2019). T77. Large Scale Functional Neural Networks Implicated in Bipolar Disorder: A Meta-Analytic Review of Resting-State Functional ConnectivityBiological Psychiatry85(10), S158.

2018

Kaiser, R. H., Snyder, H. R., Goer, F., Clegg, R., Ironside, M., & Pizzagalli, D. A. (2018). Attention bias in rumination and depression: Cognitive mechanisms and brain networksClinical Psychological Science6(6), 765-782.

Kaiser, R. H., Treadway, M. T., Wooten, D. W., Kumar, P., Goer, F., Murray, L., Beltzer, M., Pechtel, P., Whitton, A., Cohen, A. L., Alpert, N. M., El Fakhri, G., Normandin, M. D., & Pizzagalli, D. A. (2018). Frontostriatal and Dopamine Markers of Individual Differences in Reinforcement Learning: A Multi-modal InvestigationCEREBRAL CORTEX28(12), 4281–4290.

Kaiser, R. H., Clegg, R., Goer, F., Pechtel, P., Beltzer, M., Vitaliano, G., Olson, D. P., Teicher, M. H., & Pizzagalli, D. A. (2018). Childhood stress, grown-up brain networks: corticolimbic correlates of threat-related early life stress and adult stress responsePSYCHOLOGICAL MEDICINE48(7), 1157–1166.

Olson, E. A., Kaiser, R. H., Pizzagalli, D. A., Rauch, S. L., & Rosso, I. M. (2018). Anhedonia in trauma-exposed individuals: functional connectivity and decision-making correlatesBiological psychiatry: cognitive neuroscience and neuroimaging3(11), 959-967.

2017

Kaiser, R. H. (2017). Neurocognitive markers of depressionBiological psychiatry81(4), e29-e31.

Seghete, K. L. M., Kaiser, R. H., DePrince, A. P., & Banich, M. T. (2017). General and emotion-specific alterations to cognitive control in women with a history of childhood abuseNeuroimage: clinical16, 151-164.

Admon, R., Kaiser, R. H., Dillon, D. G., Beltzer, M., Goer, F., Olson, D. P., Vitaliano, G., & Pizzagalli, D. A. (2017). Dopaminergic enhancement of striatal response to reward in major depressionAmerican Journal of Psychiatry174(4), 378.

2016 

Kaiser, R. H., Whitfield-Gabrieli, S., Dillon, D. G., Goer, F., Beltzer, M., Minkel, J. Smoski, M., Dichter, G. Pizzagalli, D. A. (2016). Dynamic Resting-State Functional Connectivity in Major Depression. Neuropsychopharmacology, 41(7), 1822-1830. 

Dinica, K., Demenescu, L. R. Lord, A., Krause, A. L., Kaiser, R., Horn, D., Metzger, C. D., & Walter, M. (2016). Self-directedness and the susceptibility to distraction by saliency. Cognition & Emotion, 30(8), 1461-1469. 

Selected Publications​ from 2015 and Earlier

Kaiser, R. H., Andrews-Hanna, J. R., Spielberg, J. M., Warren, S. L., Sutton, B. P., Miller, G. A., Heller, W., & Banich, M. T. (2015). Distracted and down: neural mechanisms of affective interference in subclinical depressionSocial Cognitive and Affective Neuroscience10(5), 654–663.

Kaiser, R. H., Andrews-Hanna, J. R., Wager, T. D., & Pizzagalli, D. A. (2015). Large-scale network dysfunction in major depressive disorder: a meta-analysis of resting-state functional connectivityJAMA psychiatry72(6), 603-611.

Snyder, H. R., Kaiser, R. H., Whisman, M. A., Turner, A. E., Guild, R. M., & Munakata, Y. (2014). Opposite effects of anxiety and depressive symptoms on executive function: The case of selecting among competing optionsCognition & emotion28(5), 893-902.

Andrews-Hanna, J. R., Kaiser, R. H., Turner, A. E., Reineberg, A. E., Godinez, D., Dimidjian, S., & Banich, M. T. (2013). A penny for your thoughts: dimensions of self-generated thought content and relationships with individual differences in emotional wellbeingFrontiers in psychology4, 900.