Brooke Sevchik

All Publications

• A single-echo/multi-echo BOLD fMRI test-retest dataset. Data in brief Salo, T., Singleton, S. P., Horien, C., Cieslak, M., Flook, E. A., Rush, S., Sevchik, B. L., Tong, T. T., Taso, M., Tisdall, M. D., Roalf, D. R., Satterthwaite, T. D. 2026; 67: 113056

  Abstract

  Functional MRI (fMRI) remains one of the primary tools for non-invasive studies of brain activity and organization in humans. Recently, multi-echo imaging has generated interest due to the improved signal-to-noise and potential for superior denoising. In parallel, developments in MRI processing techniques, such as the use of phase data and advanced denoising methods, have continued to advance the field. An important step towards adopting these methodologies is directly comparing them to existing techniques using real-world data. We present a neuroimaging dataset that allows for within-subject comparison of single-echo vs multi-echo imaging with cutting-edge imaging acquisition parameters such as magnitude and phase reconstruction and no-excitation (noise only) volumes. The sample includes test-retest data from eight young adults. Each session includes a T1-weighted anatomical scan, four resting-state functional MRI scans (two each for single-echo and complex multi-echo), and a multi-echo task-based functional MRI scan from a fractal n-back working memory task. Raw imaging files are released, as well as derivatives from our open-source processing pipelines. These rich data provide opportunities for direct comparison of single-echo and multi-echo methodologies. Moving forward, the data facilitate studies of evaluating how advanced image acquisition and processing impact test-retest reliability.

  View details for DOI 10.1016/j.dib.2026.113056

  View details for PubMedID 42434500

  View details for PubMedCentralID PMC13351147

• Highly replicable multisite patterns of adolescent white matter maturation. bioRxiv : the preprint server for biology Meisler, S. L., Cieslak, M., Bagautdinova, J., Hendrickson, T. J., Pandhi, T., Chen, A. A., Hillman, N., Radhakrishnan, H., Salo, T., Feczko, E., Weldon, K. B., McCollum, R., Fayzullobekova, B., Moore, L. A., Sisk, L., Davatzikos, C., Huang, H., Avelar-Pereira, B., Caffarra, S., Chang, K., Cook, P. A., Flook, E. A., Gomez, T., Grotheer, M., Hagen, M. P., Huque, Z. M., Karipidis, I. I., Keller, A. S., Kruper, J., Luo, A. C., Macedo, B., Mehta, K., Mitchell, J. L., Pines, A. R., Pritschet, L., Rauland, A., Roy, E., Sevchik, B. L., Shafiei, G., Singleton, S. P., Stone, H. L., Sun, K. Y., Sydnor, V. J., Tong, T. T., Yablonski, M., Yeatman, J. D., Rokem, A., Shinohara, R. T., Fair, D. A., Satterthwaite, T. D. 2026

  Abstract

  The Adolescent Brain Cognitive Development (ABCD) Study is the largest U.S.-based neuroimaging initiative of adolescent brain maturation. Diffusion MRI (dMRI) provides unique insights into white matter organization, yet applying advanced processing pipelines and managing technical variability across scanning environments remains challenging at scale. To address these issues, we present ABCD-BIDS Community Collection (ABCC) release 3.1.0, including a curated resource of more than 24,000 fully processed ABCD dMRI datasets. ABCC provides fully processed images, nuanced image quality metrics, advanced microstructural measures, and person-specific bundle tractography. Evaluating these rich data revealed that measures of diffusion restriction and non-Gaussianity-in particular the intracellular volume fraction from NODDI and return-to-origin probability from MAP-MRI-were highly sensitive to neurodevelopment and robust to variation in image quality. Additionally, harmonization of microstructural features markedly improved the cross-vendor generalizability of developmental effects. Together, ABCC accelerates reproducible, rigorous research on adolescent white matter development.

  View details for DOI 10.64898/2026.04.18.719321

  View details for PubMedID 42039622

  View details for PubMedCentralID PMC13105032

• A living systematic review, meta-analysis and open-data resource of randomized controlled trials of psilocybin treatment for symptoms of depression NATURE MENTAL HEALTH Singleton, S., Sevchik, B. L., Lahey, A., Cuijpers, P., Harrer, M., Jones, M. T., Nayak, S. M., Strain, E. C., Vandekar, S. N., Dworkin, R. H., Scott, J., Satterthwaite, T. D. 2026; 4 (5)

  View details for DOI 10.1038/s44220-026-00630-8

  View details for Web of Science ID 001733121400001

• An open, fully-processed data resource for studying mood and sleep variability in the developing brain. Aperture neuro Brook, J. B., Salo, T., Luo, A. C., Bagautdinova, J., Rush, S., Alexander-Bloch, A. F., Baller, E. B., Calkins, M. E., Cieslak, M., Cooper, E. C., Detre, J. A., Elliott, M. A., Fair, D. A., Freedman, P., Gehrman, P. R., Gur, R. C., Gur, R. E., Klein, A., Laney, N., Laumann, T. O., Mehta, K., Merikangas, K., Milham, M. P., Mitchell, J. A., Moore, T. M., Nelson, S. M., Ruparel, K., Sevchik, B. L., Shanmugan, S., Shou, H., Taso, M., White, L. K., Wolf, D. H., Tisdall, M. D., Roalf, D. R., Satterthwaite, T. D. 2026; 6 (SI 1)

  Abstract

  Brain development during adolescence and early adulthood coincides with shifts in emotion regulation and sleep. Despite this, few existing datasets simultaneously characterize affective dynamics, sleep variation, and multimodal measures of brain development. Here, we describe the study protocol and initial release (n = 10) of an open data resource of neuroimaging paired with densely sampled behavioral measures in adolescents and young adults. All participants complete multi-echo functional MRI, compressed-sensing diffusion MRI, and advanced arterial spin-labeled MRI. Behavioral measures include ecological momentary assessment, actigraphy, extensive cognitive assessments, and detailed clinical phenotyping focused on emotion regulation. Raw and processed data are openly available without a data use agreement and will be regularly updated as accrual continues. Together, this resource will accelerate research on the links between mood, sleep, and brain development.

  View details for DOI 10.52294/001c.151820

  View details for PubMedID 42306263

  View details for PubMedCentralID PMC13268368

• An Open, Fully-processed, Longitudinal Data Resource to Study Brain Development and Transdiagnostic Executive Function. bioRxiv : the preprint server for biology Sevchik, B. L., Shafiei, G., Murtha, K., Linguiti, S., Brodrick, L., Brook, J. B., Cieslak, M., Flook, E., Mehta, K., Meisler, S. L., Ruparel, K., Rush, S., Salo, T., Singleton, S. P., Tong, T. T., Salunke, M., Bassett, D. S., Calkins, M. E., Elliott, M. A., Gur, R. E., Gur, R. C., Moore, T. M., Scott, J. C., Shinohara, R. T., Tisdall, M. D., Wolf, D. H., Roalf, D. R., Satterthwaite, T. D. 2025

  Abstract

  Executive function (EF) develops rapidly during adolescence. However, deficits in EF also emerge in adolescence, representing a transdiagnostic symptom associated with many forms of psychopathology. To promote transdiagnostic research on EF during development, we introduce a new data resource - the Penn Longitudinal Executive functioning in Adolescent Development study (Penn LEAD) - that combines longitudinal multi-modal imaging data with rich clinical and cognitive phenotyping. These data include 225 imaging sessions from 132 individuals (8-16 years old at the time of enrollment) who are typically developing (27.3%), or meet criteria for attention-deficit hyperactivity disorder (20.5%) or the psychosis-spectrum (52.3%). In addition to phenotypic data from multiple cognitive tasks focused on EF, the study includes data from structural MRI, diffusion MRI, n-back task fMRI, resting-state fMRI, and arterial spin-labeled MRI. Notably, all raw data, fully-processed derived data, and detailed quality control recommendations are publicly shared on OpenNeuro. We anticipate that such analysis-ready data will accelerate research on EF development in psychiatry.

  View details for DOI 10.1101/2025.11.10.687633

  View details for PubMedID 41292855

  View details for PubMedCentralID PMC12642398

• An initiative for living evidence synthesis in clinical psychedelic research NATURE MENTAL HEALTH Singleton, S., Sevchik, B. L., Vandekar, S. N., Strain, E. C., Nayak, S. M., Dworkin, R. H., Scott, J., Satterthwaite, T. D. 2025; 3 (1): 3-5

  View details for DOI 10.1038/s44220-024-00373-4

  View details for Web of Science ID 001396041200001