Jahanshad, Neda

How does angular resolution affect diffusion imaging measures?

Zhan, L., Leow, A. D., Jahanshad, N., Chiang, M.-C., Barysheva, M., Lee, A. D., Toga, A. W., McMahon, K. L., de Zubicaray, G. I., Wright, M. J., et al. (2010) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Cited by 79

Staging tau pathology with tau PET in Alzheimer’s disease: a longitudinal study

Chen, S.-D., Lu, J.-Y., Li, H.-Q., Yang, Y.-X., Jiang, J.-H., Cui, M., Zuo, C.-T., Tan, L., Dong, Q., Yu, J.-T., et al. (2021) · Translational Psychiatry

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 71

Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia

Sønderby, I. E., Gústafsson, Ó., Doan, N. T., Hibar, D. P., Martin-Brevet, S., Abdellaoui, A., Ames, D., Amunts, K., Andersson, M., Armstrong, N. J., et al. (2020) · Molecular Psychiatry

Genomic variations and chromosomal abnormalitiesGenetics and Neurodevelopmental Disorders

Cited by 66

White matter abnormalities and cognition in aging and Alzheimer disease

Peter, C., Sathe, A., Shashikumar, N., Pechman, K. R., Workmeister, A. W., Jackson, T. B., Huo, Y., Mukherjee, S., Mez, J., Dumitrescu, L. C., et al. (2025) · JAMA Neurology

Dementia and Cognitive Impairment ResearchAdvanced Neuroimaging Techniques and Applications

Cited by 59

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

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

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

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

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

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

Current best practices and future opportunities for reproducible findings using large-scale neuroimaging in psychiatry

Jahanshad, N., Lenzini, P., & Bijsterbosch, J. (2025) · Neuropsychopharmacology

Functional Brain Connectivity StudiesResearch Data Management Practices

Cited by 12

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