Thompson, Paul M.

A resting state fMRI analysis pipeline for pooling inference across diverse cohorts: an ENIGMA rs-fMRI protocol

Adhikari, B. M., Jahanshad, N., Shukla, D., Turner, J., Grotegerd, D., Dannlowski, U., Kugel, H., Engelen, J., Dietsche, B., Krug, A., et al. (2019) · Brain Imaging and Behavior

Functional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

Cited by 53

Angular versus spatial resolution trade-offs for diffusion imaging under time constraints

Zhan, L., Jahanshad, N., Ennis, D. B., Jin, Y., Bernstein, M. A., Borowski, B. J., Jack, C. R., Toga, A. W., Leow, A. D., & Thompson, P. M. (2013) · Human Brain Mapping

Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Cited by 52

Predicting white matter integrity from multiple common genetic variants

Kohannim, O., Jahanshad, N., Braskie, M. N., Stein, J. L., Chiang, M.-C., Reese, A. H., Hibar, D. P., Toga, A. W., McMahon, K. L., de Zubicaray, G. I., et al. (2012) · Neuropsychopharmacology

Advanced Neuroimaging Techniques and ApplicationsGenetic Associations and Epidemiology

Cited by 50

Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification

Hett, K., Ta, V.-T., Catheline, G., Tourdias, T., Manjón, J. V., Coupé, P., Initiative, A. D. N., Weiner, M. W., Aisen, P., Petersen, R., et al. (2019) · Scientific Reports

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 49

Amygdala reactivity in healthy adults is correlated with prefrontal cortical thickness

Foland-Ross, L. C., Altshuler, L. L., Bookheimer, S. Y., Lieberman, M. D., Townsend, J., Penfold, C., Moody, T., Ahlf, K., Shen, J. K., Madsen, S. K., et al. (2010) · The Journal of Neuroscience

Neural and Behavioral Psychology StudiesMemory and Neural Mechanisms

Cited by 49

Heritability estimates on resting state fMRI data using ENIGMA analysis pipeline

Adhikari, B. M., Jahanshad, N., Shukla, D., Glahn, D. C., Blangero, J., Reynolds, R. C., Cox, R. W., Fieremans, E., Veraart, J., Novikov, D. S., et al. (2018) · Biocomputing 2018

Functional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

Cited by 47

Puberty in the corpus callosum

Chavarria, M. C., Sánchez, F. J., Chou, Y.-Y., Thompson, P. M., & Luders, E. (2014) · Neuroscience

Advanced Neuroimaging Techniques and ApplicationsHypothalamic control of reproductive hormones

Cited by 46

Reproducibility of tract‐based white matter microstructural measures using the ENIGMA ‐ DTI protocol

Acheson, A., Wijtenburg, S. A., Rowland, L. M., Winkler, A., Mathias, C. W., Hong, L. E., Jahanshad, N., Patel, B., Thompson, P. M., McGuire, S. A., et al. (2017) · Brain and Behavior

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 43

Volume of subcortical brain regions in social anxiety disorder: mega-analytic results from 37 samples in the ENIGMA-Anxiety Working Group

Groenewold, N. A., Bas-Hoogendam, J. M., Amod, A. R., Laansma, M. A., Van Velzen, L. S., Aghajani, M., Hilbert, K., Oh, H., Salas, R., Jackowski, A. P., et al. (2023) · Molecular Psychiatry

Anxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesNeural and Behavioral Psychology Studies

Cited by 36

Tractography density and network measures in Alzheimer’s disease

Prasad, G., Nir, T. M., Toga, A. W., & Thompson, P. M. (2013) · 2013 IEEE 10th International Symposium on Biomedical Imaging

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 35

Fractional anisotropy derived from the diffusion tensor distribution function boosts power to detect Alzheimer’s disease deficits

Nir, T. M., Jahanshad, N., Villalon‐Reina, J. E., Isaev, D., Zavaliangos‐Petropulu, A., Zhan, L., Leow, A. D., Jack, C. R., Weiner, M. W., Thompson, P. M., et al. (2017) · Magnetic Resonance in Medicine

Advanced Neuroimaging Techniques and ApplicationsDementia and Cognitive Impairment Research

Cited by 34

A federated learning architecture for secure and private neuroimaging analysis

Stripelis, D., Gupta, U., Saleem, H., Dhinagar, N., Ghai, T., Anastasiou, C., Sánchez, R., Steeg, G. V., Ravi, S., Naveed, M., et al. (2024) · Patterns

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 31

Genome-wide association analysis identifies common variants influencing infant brain volumes

Xia, K., Zhang, J., Ahn, M., Jha, S., Crowley, J. J., Szatkiewicz, J., Li, T., Zou, F., Zhu, H., Hibar, D., et al. (2017) · Translational Psychiatry

Genetic Associations and EpidemiologySchizophrenia research and treatment

Cited by 30

Scaling Neuroscience Research Using Federated Learning

Stripelis, D., Ambite, J. L., Lam, P., & Thompson, P. (2021) · 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 29

Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits

Deming, Y., Xia, J., Cai, Y., Lord, J., Del-Aguila, J. L., Fernandez, M. V., Carrell, D., Black, K., Budde, J., Ma, S., et al. (2016) · Scientific Reports

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 28

Carriers of a common variant in the dopamine transporter gene have greater dementia risk, cognitive decline, and faster ventricular expansion

Roussotte, F. F., Gutman, B. A., Hibar, D. P., Madsen, S. K., Narr, K. L., Thompson, P. M., & (ADNI), A. D. N. I. (2015) · Alzheimer's & Dementia

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 19

Towards cascading genetic risk in Alzheimer’s disease

Altmann, A., Aksman, L. M., Oxtoby, N. P., Young, A. L., ADNI, Weiner, M., Aisen, P., Petersen, R., Weiner, M., Aisen, P., et al. (2024) · Brain

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 18

Deep learning to quantify the pace of brain aging in relation to neurocognitive changes

Yin, C., Imms, P., Chowdhury, N. F., Chaudhari, N. N., Ping, H., Wang, H., Bogdan, P., Irimia, A., Initiative, T. A. D. N., Weiner, M., et al. (2025) · Proceedings of the National Academy of Sciences

Dementia and Cognitive Impairment ResearchAdvanced MRI Techniques and Applications

Cited by 18

Integrating Transcriptomics, Genomics, and Imaging in Alzheimer's Disease: A Federated Model

Wu, J., Chen, Y., Wang, P., Caselli, R. J., Thompson, P. M., Wang, J., & Wang, Y. (2022) · Frontiers in Radiology

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 17

Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data

Jo, T., Kim, J., Bice, P., Huynh, K., Wang, T., Arnold, M., Meikle, P. J., Giles, C., Kaddurah-Daouk, R., Saykin, A. J., et al. (2023) · eBioMedicine

Dementia and Cognitive Impairment ResearchMetabolomics and Mass Spectrometry Studies

Cited by 15

Effects of ApoE4 and ApoE2 genotypes on subcortical magnetic susceptibility and microstructure in 27,535 participants from the UK Biobank

Nir, T. M., Zhu, A. H., Gari, I. B., Dixon, D., Islam, T., Villalon-Reina, J. E., Medland, S. E., Thompson, P. M., & Jahanshad, N. (2021) · Biocomputing 2022

Advanced MRI Techniques and ApplicationsDementia and Cognitive Impairment Research

Cited by 6

Phospholipids and Insulin Resistance in Psychosis: A Lipidomics Study of Twin Pairs Discordant for Schizophrenia

Orešič, M., Seppänen-Laakso, T., Sun, D., Tang, J., Therman, S., Viehman, R., Mustonen, U., van Erp, T. G., Hyötyläinen, T., Thompson, P., et al. (2012) · Genome Medicine

Schizophrenia research and treatmentMetabolomics and Mass Spectrometry Studies

Cited by 5