Publications & Presentations

Publications

2026

Garcia de la Garza, A., Wang, C., Derby, C. A., Gao, Q., Zetterberg, H., Engeland, C. G., Lipton, R. B., & Katz, M. J. (2026). Generalizability of Blood-Based Biomarkers of Alzheimer’s Disease and Related Dementias (ADRD) in a Multicultural Cohort: The Effect of Adjustment for Kidney Function. Journal of Alzheimer’s Disease.

2025

Garcia de la Garza, A., Nester, C., Wang, C., Mogle, J., Roque, N., Katz, M., Derby, C. A., Lipton, R. B., & Rabin, L. (2025). Enhanced associations between subjective cognitive concerns and blood-based AD biomarkers using a novel EMA approach. Alzheimer’s Research and Therapy.
Nester, C. O., Garcia de la Garza, A., Mogle, J. A., Wang, C., Katz, M. J., Ayers, E., Lipton, R. B., Verghese, J., & Rabin, L. A. (2025). Toward Remote Evaluation of Motoric Cognitive Risk Syndrome (MCR): A Pilot Study of Daily Diary Smartphone Assessment of Subjective Cognitive Concerns in MCR. Health Science Reports.

2022

Goldsmith, J., Kitago, T., Garcia de la Garza, A., Kundert, R., Luft, A., Stinear, C. M., Byblow, W. D., Kwakkel, G., & Krakauer, J. W. (2022). The proportional recovery rule redux: Arguments for its biological and predictive relevance. eLife.

2021

Garcia de la Garza, A., Blanco, C., Olfson, M., & Wall, M. M. (2021). Identification of suicide attempt risk factors in a national US survey using machine learning. JAMA Psychiatry, 78(4), 398–406. [Covered by Medscape, MDedge, and Healio.]

2020

Roalf, D. R., Garcia de la Garza, A., Rosen, A., Calkins, M. E., Moore, T. M., Quarmley, M., Ruparel, K., Xia, C. H., Rupert, P. E., & Satterthwaite, T. D. (2020). Alterations in white matter microstructure in individuals at persistent risk for psychosis. Molecular Psychiatry, 25(10), 2441–2454.
Skritskaya, N. A., Mauro, C., Garcia de la Garza, A., Meichsner, F., Lebowitz, B., Reynolds, C. F., Simon, N. M., Zisook, S., & Shear, M. K. (2020). Changes in typical beliefs in response to complicated grief treatment. Depression and Anxiety, 37(1), 81–89.
Szuhany, K. L., Young, A., Mauro, C., García de la Garza, A., Spandorfer, J., Lubin, R., Skritskaya, N. A., Hoeppner, S. S., Li, M., & Pace-Schott, E. (2020). Impact of sleep on complicated grief severity and outcomes. Depression and Anxiety, 37(1), 73–80.

2019

Nassar, R., Kaczkurkin, A. N., Xia, C. H., Sotiras, A., Pehlivanova, M., Moore, T. M., Garcia de La Garza, A., Roalf, D. R., Rosen, A. F., & Lorch, S. A. (2019). Gestational age is dimensionally associated with structural brain network abnormalities across development. Cerebral Cortex, 29(5), 2102–2114.

2018

Xia, C. H., Ma, Z., Ciric, R., Gu, S., Betzel, R. F., Kaczkurkin, A. N., Calkins, M. E., Cook, P. A., Garcia de la Garza, A., & Vandekar, S. N. (2018). Linked dimensions of psychopathology and connectivity in functional brain networks. Nature Communications, 9(1), 1–14.
Kaczkurkin, A. N., Moore, T. M., Calkins, M. E., Ciric, R., Detre, J. A., Elliott, M. A., Foa, E. B., Garcia de la Garza, A., Roalf, D. R., & Rosen, A. (2018). Common and dissociable regional cerebral blood flow differences associate with dimensions of psychopathology across categorical diagnoses. Molecular Psychiatry, 23(10), 1981–1989.
Pehlivanova, M., Wolf, D. H., Sotiras, A., Kaczkurkin, A. N., Moore, T. M., Ciric, R., Cook, P. A., Garcia de La Garza, A., Rosen, A. F., & Ruparel, K. (2018). Diminished cortical thickness is associated with impulsive choice in adolescence. Journal of Neuroscience, 38(10), 2471–2481.
Rosen, A. F. G., Roalf, D. R., Ruparel, K., Blake, J., Seelaus, K., Villa, L. P., Ciric, R., Cook, P. A., Davatzikos, C., Elliott, M. A., Garcia de La Garza, A., Gennatas, E. D., Quarmley, M., Schmitt, J. E., Shinohara, R. T., Tisdall, M. D., Craddock, R. C., Gur, R. E., Gur, R. C., & Satterthwaite, T. D. (2018). Quantitative assessment of structural image quality. NeuroImage, 169, 407–418.

2016

Garcia de la Garza, A., Vandekar, S., Roalf, D., Ruparel, K., Gur, R., Gur, R., Satterthwaite, T., & Shinohara, R. T. (2016). voxel: Mass-Univariate Voxelwise Analysis of Medical Imaging Data. Available on CRAN.

Preprints & Under Review

Garcia de la Garza, A., Sauerbrei, B., Hantman, A., & Goldsmith, J. (2026). Adaptive Smoothing Functional Principal Component Analysis. Under review at Biometrics.
Garcia de la Garza, A., Sauerbrei, B., Hantman, A., & Goldsmith, J. (2026). Two-Sample Test for Eigendecompositions of Functional Data.

Presentations

Invited Talks & Workshops

Data Integration of Traditional In-Lab Assessments and Smartphone-Based Cognitive Measures to Improve Prediction of Cognitive Decline. Invited talk, Joint Statistical Meetings (JSM), 2025.
Measuring What Matters: Evaluating, Selecting and Developing Outcome Measures using Advanced Psychometrics and Clinimetrics. Workshop, Alzheimer’s Association International Conference (AAIC), 2025.
Measuring What Matters: Evaluating, Selecting and Developing Outcome Measures using Advanced Psychometrics and Clinimetrics. Workshop, Alzheimer’s Association International Conference (AAIC), 2024.

Conference Presentations

Optimizing the Assessment of Self-Perceived Cognitive Functioning for Predicting Mild Cognitive Impairment: Integrating Traditional Methods with Daily Digital Diary Assessments — Results from the Einstein Aging Study (EAS). Alzheimer’s Association International Conference (AAIC), 2024.
Two-Sample Test for Eigendecompositions of Functional Data. Eastern North American Region (ENAR) International Biometric Society Spring Meeting, 2023.
Adaptive Smoothing Functional Principal Component Analysis for Neural Firing Rate Data. Joint Statistical Meetings (JSM), 2021.
Adaptive Smoothing Multilevel Functional Principal Component Analysis for Neural Firing Rate Data. Eastern North American Region (ENAR) International Biometric Society Spring Meeting, 2021.
Improved Identification of Brain Activation Patterns by Better Modeling Sharp Changes Over Time. Columbia University Data Science Day, 2020.
A Data Science Approach to Predicting Future Suicide Attempts with a Large National US Survey. Joint Statistical Meetings (JSM), 2020.
A Data Science Approach to Predicting Future Suicide Attempts with a Large National US Survey. Society of Biological Psychiatry, 75th Annual Scientific Program and Convention, 2020.
Dimension Reduction Methods for Multilevel Neural Firing Rate Data. Eastern North American Region (ENAR) International Biometric Society Spring Meeting, 2020.
A Quantitative Comparison of Linear and Non-Linear Models to Detect White Matter Differences in Psychosis Spectrum. Thomas R. Ten Have Symposium on Statistics in Mental Health, 2016.
Climatic Change and its Relationship with Volcanic Dust and Aerosols. 41º Congreso de Investigación y Desarrollo, ITESM, 2011.

Conference Abstracts & Posters

Garcia de la Garza, A., Wang, C., Derby, C. A., Lipton, R. B., Zetterberg, H., Engeland, C. G., & Katz, M. J. Evaluating the Role of Kidney Function and Comorbidities in Observed Racial/Ethnic Differences in Blood-based Biomarkers of Neurodegeneration: Results from the Einstein Aging Study. AAIC, 2024.
Garcia de la Garza, A., Mogle, J. A., Wang, C., Katz, M. J., Derby, C. A., Cameron, J., Lipton, R. B., Sliwinski, M. J., & Rabin, L. Optimizing the Assessment of Self-Perceived Cognitive Functioning for Predicting Mild Cognitive Impairment: Integrating Traditional Methods with Daily Digital Diary Assessments — Results from the Einstein Aging Study (EAS). AAIC, 2024.
Nester, C. O., Garcia de la Garza, A., Mogle, J. A., Wang, C., Katz, M. J., Ayers, E., Lipton, R. B., Verghese, J., & Rabin, L. A. Smartphone Assessment of Subjective Cognitive Concerns in Motoric Cognitive Risk Syndrome. International Neuropsychological Society (INS), 2024.
Katz, M. J., Garcia de la Garza, A., Roque, N. A., Derby, C. A., Sliwinski, M. J., Lipton, R. B., & Wang, C. Feasibility, Reliability and Predictive Validity of Digital Cognitive Assessments in a Diverse Cohort of Community-Residing Older Adults. AAIC, 2023.
Wang, C., Gao, Q., Hall, C. B., Cerino, E. S., Sliwinski, M. J., Lipton, R. B., Katz, M. J., Derby, C. A., & Garcia de la Garza, A. Detection of Mild Cognitive Impairment Using Digital Assessments of Cognition. AAIC, 2023.
Rabin, L., Mogle, J., Wang, C., Nester, C. O., Derby, C. A., Garcia de la Garza, A., Lipton, R. B., & Katz, M. J. Cognitive Lapses Reported by Daily Digital Diary, and Not by Recall-Based Questionnaires, Predict Future MCI in a Demographically Diverse Cohort of Community-Dwelling Older Adults. AAIC, 2023.
Lipton, R. B., Garcia de la Garza, A., Wang, C., Derby, C. A., Katz, M. J., Oravecz, Z., Hakun, J. G., Sliwinski, M. J., & Ezzati, A. The Association of Blood-Based Biomarkers and Cognitive Change as Measured by Ecologically Sensitive Digital Biomarkers. AAIC, 2023.
Garcia de la Garza, A., Sauerbrei, B., & Goldsmith, A. J. Dimension Reduction Methods for Multilevel Firing Rate Data. CMStatistics, 2019.