The DOI matches its Crossref record; 85 of the 86 references it cites were found in a registry or an index.
Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: a pilot project of the ENIGMA-DTI working group
Open accessAbstract
The ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Consortium was set up to analyze brain measures and genotypes from multiple sites across the world to improve the power to detect genetic variants that influence the brain. Diffusion tensor imaging (DTI) yields quantitative measures sensitive to brain development and degeneration, and some common genetic variants may be associated with white matter integrity or connectivity. DTI measures, such as the fractional anisotropy (FA) of water diffusion, may be useful for identifying genetic variants that influence brain microstructure. However, genome-wide association studies (GWAS) require large populations to obtain sufficient power to detect and replicate significant effects, motivating a multi-site consortium effort. As part of an ENIGMA-DTI working group, we analyzed high-resolution FA images from multiple imaging sites across North America, Australia, and Europe, to address the challenge of harmonizing imaging data collected at multiple sites. Four hundred images of healthy adults aged 18-85 from four sites were used to create a template and corresponding skeletonized FA image as a common reference space. Using twin and pedigree samples of different ethnicities, we used our common template to evaluate the heritability of tract-derived FA measures. We show that our template is reliable for integrating multiple datasets by combining results through meta-analysis and unifying the data through exploratory mega-analyses. Our results may help prioritize regions of the FA map that are consistently influenced by additive genetic factors for future genetic discovery studies. Protocols and templates are publicly available at (http://enigma.loni.ucla.edu/ongoing/dti-working-group/).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“However, the CST ROI from the JHU WMPM atlas is limited to a small region in the inferior portion of the brain and has been shown to be the least reliable and reproducible ROI (Jahanshad et al., 2013; Acheson et al., 2017)”
From Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3 (2019) · cites this paper as Jahanshad et al., 2013
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Although many large-scale multi-site DTI studies have obtained consistent results even when acquisition protocols across sites are not harmonized in advance (Jahanshad et al., 2013; Kochunov et al., 2014; Acheson et al., 2017; Kelly et al., 2018), differences in dMRI acquisition parameters, including vendor, voxel size, and angular resolution, are known to affect derived dMRI measures (Alexander”
From Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3 (2019) · cites this paper as Jahanshad et al., 2013
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
Smith, S. M., Jenkinson, M., Johansen‐Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., Watkins, K. E., Ciccarelli, O., Cader, M. Z., Matthews, P. M., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.024 · Cited by 6,598
Self-citationMR diffusion tensor spectroscopy and imaging
Basser, P. J., Mattiello, J., & LeBihan, D. (1994) · Biophysical Journal · doi:10.1016/s0006-3495(94)80775-1 · Cited by 5,970
Thresholding of statistical maps in functional neuroimaging using the false discovery rate
Genovese, C. R., Lazar, N. A., & Nichols, T. (2002) · NeuroImage · doi:10.1006/nimg.2001.1037 · Cited by 4,923
Self-citationBasser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306
Multipoint Quantitative-Trait Linkage Analysis in General Pedigrees
Almasy, L. A., & Blangero, J. (1998) · The American Journal of Human Genetics · doi:10.1086/301844 · Cited by 3,021
Self-citationSchizophrenia as a Complex Trait: Evidence From a Meta-analysis of Twin Studies
Sullivan, P. F., Kendler, K. S., & Neale, M. C. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.12.1187 · Cited by 2,356
Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template
Mori, S., Oishi, K., Jiang, H., Jiang, L., Li, X., Akhter, K., Hua, K., Faria, A. V., Mahmood, A., Woods, R. P., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.12.035 · Cited by 1,832
Self-citation(2000) · Queen Mary Research Online (Queen Mary University of London) · Cited by 1,795
The mystery of missing heritability: Genetic interactions create phantom heritability
Zuk, O., Hechter, E., Sunyaev, S. R., & Lander, E. S. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1119675109 · Cited by 1,542
Research works printed but not linked: 1
- Andersson, 2008, vol. 14
Cited by
Sorted by citations
Items 301–396 of 396
Geometry of the cumulant series in diffusion MRI
Coelho, S., Chen, J., Szczepankiewicz, F., Fieremans, E., & Novikov, D. S. (2026) · Nature Communications · doi:10.1038/s41467-026-70018-w · Cited by 6
Wang, Y., Zhang, S., Gong, W., Liu, X., Mo, Q., Shen, L., Zhao, Y., Wang, S., & Yuan, Z. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25179223 · Cited by 5
Schmaal, L., Ching, C. R. K., McMahon, A. B., Jahanshad, N., & Thompson, P. M. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-813176-3.00041-9 · Cited by 4
Self-citationA multivariate to multivariate approach for voxel‐wise genome‐wide association analysis
Wu, Q., Zhang, Y., Huang, X., Ma, T., Hong, L. E., Kochunov, P., & Chen, S. (2024) · Statistics in Medicine · doi:10.1002/sim.10101 · Cited by 4
Self-citationRanking diffusion tensor measures of brain aging and Alzheimer’s disease
Borowski, B., Jack, C. R., Weiner, M. W., Thompson, P. M., Zavaliangos‐Petropulu, A., Nir, T. M., Thomopoulos, S. I., Jahanshad, N., Reid, R. I., & Bernstein, M. A. (2018) · International Symposium on Medical Information Processing and Analysis (SIPAIM) · doi:10.1117/12.2506694 · Cited by 3
Self-citationNir, T. M., Lam, H. Y., Ananworanich, J., Boban, J. M., Brew, B. J., Cysique, L. A., Fouché, J., Kuhn, T. P., Porges, E. C., Law, M., et al. (2019) · Mathematics and visualization · doi:10.1007/978-3-030-05831-9_17 · Cited by 4
Self-citationGlahn, D. C., Sprooten, E., Knowles, E. E. M., McKay, D. R., Mathias, S. R., Almasy, L. A., & Blangero, J. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00112-3 · Cited by 4
Self-citationHare, S., Chiappelli, J., Savransky, A., Adhikari, B. M., Wisner, K., Kvarta, M. D., Goldwaser, E. L., Du, X. M., Chen, S., Rowland, L. M., et al. (2020) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000813 · Cited by 4
Self-citationWaller, R. E., Dotterer, H. L., & Hyde, L. W. (2015) · Wiley eBooks · doi:10.1002/9781118900772.etrds0012 · Cited by 4
Neurogenetics Approaches to Mapping Pathways in Developmental Psychopathology
Hyde, L. W., Swartz, J. R., Waller, R. E., & Hariri, A. R. (2016) · Wiley eBooks · doi:10.1002/9781119125556.devpsy212 · Cited by 4
Accurate sex prediction of cisgender and transgender individuals without brain size biasPreprint
Wiersch, L., Hamdan, S., Hoffstaedter, F., Votinov, M., Habel, U., Clemens, B., Derntl, B., Eickhoff, S. B., Patil, K. R., & Weis, S. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.26.499576 · Cited by 4
The pivotal role of the X-chromosome in the genetic architecture of the human brainPreprint
Jiang, Z., Sullivan, P. F., Li, T., Zhao, B., Wang, X., Luo, T., Huang, S., Guan, P. Y., Chen, J., Yang, Y., et al. (2023) · medRxiv · doi:10.1101/2023.08.30.23294848 · Cited by 4
Genetic Associations Among Inflammation, White Matter Architecture, and Extracellular Free Water
Rodrigue, A., Knowles, E. E. M., Mollon, J., Mathias, S. R., Peralta, J. M., Leandro, A. C., Fox, P. T., Kochunov, P., Olvera, R. L., Almasy, L. A., et al. (2025) · Human Brain Mapping · doi:10.1002/hbm.70101 · Cited by 3
Self-citationOn combining family- and population-based sequencing data
Katsumata, Y., & Fardo, D. W. (2016) · BMC Proceedings · doi:10.1186/s12919-016-0026-9 · Cited by 3
Genetics of brain networks and connectivity
Dennis, E. L., Thompson, P. M., & Jahanshad, N. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-813838-0.00008-x · Cited by 3
Self-citationGou, M., Li, W., Tong, J., Zhou, Y., Xie, T., Yu, T. Y., Feng, W., Li, Y., Chen, S., Tian, B., et al. (2023) · Molecular Neurobiology · doi:10.1007/s12035-023-03694-0 · Cited by 3
Self-citationLarge-scale Normative Modeling of Brain Microstructure
Villalón‐Reina, J. E., Zhu, A. H., Nir, T. M., Thomopoulos, S. I., Laltoo, E., Kushan, L., Bearden, C. E., Jahanshad, N., & Thompson, P. M. (2023) · International Symposium on Medical Information Processing and Analysis (SIPAIM) · doi:10.1109/sipaim56729.2023.10373451 · Cited by 5
Self-citationDiffusion Bridge Models for 3D Medical Image Translation
Zhang, S., Chattopadhyay, T., Thomopoulos, S. I., Ambite, J. L., Thompson, P. M., & Steeg, G. V. (2025) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc58623.2025.11252839 · Cited by 3
Self-citationGenetic analysis of structural brain connectivity using DICCCOL models of diffusion MRI in 522 twins
Zhu, D., Zhan, L., Faskowitz, J., Daianu, M., Jahanshad, N., de Zubicaray, G. I., McMahon, K. L., Martin, N. G., Wright, M. J., & Thompson, P. M. (2015) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2015.7164080 · Cited by 6
Self-citationTowards Visual Mega-Analysis of Voxel-based Measurement in Brain Cohorts
Zhang, G., Kochunov, P., Hong, E. L., Carr, H. A., & Chen, J. (2016) · Eurographics · doi:10.2312/eurovisshort.20161161 · Cited by 3
Self-citationMu, J., Xu, Q., Tian, J., & Liu, J. (2017) · Scientific Reports · doi:10.1038/s41598-017-12965-5 · Cited by 3
Mühleisen, T. W., Forstner, A. J., Hoffmann, P., & Cichon, S. (2020) · Medizinische Genetik · doi:10.1515/medgen-2020-2007 · Cited by 2
Medial Tractography Analysis (MeTA) for White Matter Population Analyses Across Datasets
Gari, I. B., Ramesh, A., Javid, S., Gadewar, S. P., Nourollahimoghadam, E., Thomopoulos, S. I., Thompson, P. M., Nir, T. M., & Jahanshad, N. (2023) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner52421.2023.10123727 · Cited by 3
Self-citationZhao, B., Li, T., Fan, Z., Yang, Y., Wang, X., Luo, T., Tang, J., Xiong, D., Wu, Z., Chen, J., et al. (2021) · medRxiv · doi:10.1101/2021.11.01.21265779 · Cited by 3
The role of sleep in the human brain and body: insights from multi-organ imaging geneticsPreprint
Fan, Z., Yang, Y., Guo, Y., Li, Y., Shu, J., Yang, X., Li, B., Lin, J., Wang, Q., Gibson, C., et al. (2022) · medRxiv · doi:10.1101/2022.09.08.22279719 · Cited by 3
TIPS: a novel pathway-guided joint model for transcriptome-wide association studies
Wang, N., Ye, Z., & Ma, T. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbae587 · Cited by 2
Childhood Adversity Is Associated With Longitudinal White Matter Changes After Adulthood Trauma
Li, T., Huibregtse, M. E., Ely, T. D., van Rooij, S. J. H., Lebois, L. A. M., Webb, E. K., Jovanović, T., House, S. L., Bruce, S. E., Murty, V. P., et al. (2025) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2025.09.007 · Cited by 3
Shu, J., Zheng, R., Chirinos, J. A., Copana, C., Li, B., Fan, Z., Yang, X., Yang, Y., Wang, X., Li, Y., et al. (2025) · Nature Biomedical Engineering · doi:10.1038/s41551-025-01554-x · Cited by 3
Chattopadhyay, T., Senthilkumar, P., Ankarath, R. H., Patterson, C., Gleave, E. J., Thomopoulos, S. I., Huang, H., Shen, L., You, L., Zhi, D., et al. (2025) · International Symposium on Medical Information Processing and Analysis (SIPAIM) · doi:10.1109/sipaim67325.2025.11283404 · Cited by 3
Self-citationJahanshad, N., Kochunov, P. V., Nichols, T. E., Sprooten, E., Mandl, R. C. W., Almasy, L. A., Brouwer, R. M., Curran, J. E., de Zubicaray, G. I., Dimitrova, R., et al. (2014) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2014.6868099 · Cited by 2
Self-citationGlazer, S., Kim, Y. J., Fecher, M., Billetdeaux, K. A., Gilliland, E. B., Wilde, E. A., Olshefski, R. S., Yeates, K. O., Vannatta, K. A., & Hoskinson, K. R. (2023) · Pediatric Blood & Cancer · doi:10.1002/pbc.30787 · Cited by 2
More organized white matter is associated with positivity bias in older adults
Viher, P. V., Seitz‐Holland, J., Schulz, M. S., Kensinger, E. A., Karmacharya, S., Swisher, T., Lyall, A. E., Makris, N., Sylvain Bouix, A., Shenton, M. E., et al. (2024) · Brain Imaging and Behavior · doi:10.1007/s11682-024-00850-5 · Cited by 2
Thompson, P. M., Hibar, D. P., Stein, J. L., & Jahanshad, N. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-800105-9.00007-x · Cited by 2
Self-citationMulti-Shell Diffusion MRI Measures of Brain Aging: A Preliminary Comparison From ADNI3
Nir, T. M., Thomopoulos, S. I., Villalón‐Reina, J. E., Zavaliangos‐Petropulu, A., Dennis, E. L., Reid, R. I., Bernstein, M. A., Borowski, B., Jack, C. R., Weiner, M. W., et al. (2019) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2019.8759486 · Cited by 2
Self-citationWong, H. J., Chew, Q. H., Lee, R. D., & Sim, K. (2020) · PsyCh Journal · doi:10.1002/pchj.399 · Cited by 2
Lawrence, K. E., Nabulsi, L., Santhalingam, V., Abaryan, Z., Villalón‐Reina, J. E., Nir, T. M., Gari, I. B., Zhu, A. H., Haddad, E., Muir, A. M., et al. (2020) · International Symposium on Medical Information Processing and Analysis (SIPAIM) · doi:10.1117/12.2579622 · Cited by 2
Self-citationThe variability of MR axon radii estimates in the human brainPreprint
Veraart, J., Raven, E. P., Edwards, L., Weiskopf, N., & Jones, D. K. (2020) · doi:10.21203/rs.3.rs-104158/v1 · Cited by 2
Heritability estimation of subcortical volumes in a multi-ethnic multi-site cohort studyPreprint
Coffman, C., Feczko, E., Larsen, B., Tervo‐Clemmens, B., Conan, G., Lundquist, J. T., Houghton, A., Moore, L. A., Weldon, K. B., McCollum, R., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.11.575231 · Cited by 2
Mapping Along-Tract White Matter Microstructural Differences in AutismPreprint
Kim, G. S., Chandio, B. Q., Benavidez, S. M., Feng, Y., Thompson, P. M., & Lawrence, K. E. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.21.644498 · Cited by 2
Self-citationFarrher, E., Grinberg, F., Khechiashvili, T., Neuner, I., Konrad, K., & Shah, N. J. (2024) · Brain Sciences · doi:10.3390/brainsci14050495 · Cited by 1
Caruana, G. F., Carruthers, S. P., Karantonis, J. A., Furlong, L. S., Tan, E. J., Neill, E., Rossell, S. L., & Rheenen, T. E. V. (2025) · Psychological Medicine · doi:10.1017/s0033291725100731 · Cited by 1
Hsu, S., Liao, Y., Chang, F., Chen, Y., Chung, C., Chen, S., & Lee, Y. (2025) · Journal of the American Heart Association · doi:10.1161/jaha.125.043931 · Cited by 1
Lee, J., Kim, S. Y., Park, H. W., Han, J., Joo, S. W., Lee, J. S., & Lee, W. H. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1600479 · Cited by 2
Ma, Y., Acheson, A., Bolbocean, C., Mithaiwala, M. N., Gao, S., Jahanshad, N., Thompson, P. M., Adhikari, B. M., Du, X. M., Ankeeta, A., et al. (2025) · Addiction Biology · doi:10.1111/adb.70089 · Cited by 1
Self-citationGenetic and environmental influence on white matter: insight from an Italian twin population study
Videtta, G., Colli, C., Squarcina, L., Fagnani, C., Medda, E., D’Ippolito, C., Bonivento, C., Nobile, M., & Brambilla, P. (2026) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2026.1765036 · Cited by 2
Pascucci, A., Delavari, F., Ville, D. V. D., Eliez, S., Piguet, C., & Saccaro, L. F. (2026) · Psychiatry Research · doi:10.1016/j.psychres.2026.117161 · Cited by 1
On study design in neuroimaging heritability analyses
Koran, M. E. I., Li, B., Jahanshad, N., Thornton‐Wells, T. A., Glahn, D. C., Thompson, P. M., Blangero, J., Nichols, T. E., Kochunov, P. V., & Landman, B. A. (2014) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2043565 · Cited by 1
Self-citationZhang, G., Kochunov, P. V., Hong, E. L., Jahanshad, N., Thompson, P. M., & Chen, J. (2016) · ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) · doi:10.1145/2975167.2985689 · Cited by 1
Self-citationAzor, A. M., Sharp, D. J., Jolly, A., Bourke, N., & Hellyer, P. J. (2022) · PLoS ONE · doi:10.1371/journal.pone.0268233 · Cited by 1
Crouse, J. J., Park, S. H., Hermens, D. F., Lagopoulos, J., Park, M., Shin, M., Carpenter, J. S., Scott, E. M., & Hickie, I. B. (2024) · European Journal of Neuroscience · doi:10.1111/ejn.16351 · Cited by 1
Donohue, B., Gao, S., Nichols, T. E., Adhikari, B. M., Ma, Y., Jahanshad, N., Thompson, P. M., McMahon, K. L., Humphries, E., Burroughs, W., et al. (2024) · Human Brain Mapping · doi:10.1002/hbm.70044 · Cited by 1
Self-citationWhite Matter Microstructural Alterations in Autism Localized with Bundle Analytics
Kim, G. S., Chandio, B. Q., Benavidez, S. M., Thompson, P. M., & Lawrence, K. E. (2025) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi60581.2025.10980852 · Cited by 1
Self-citationNetwork organization of co-opetitive genetic influences on morphologies of the human cerebral cortex
Paul, S., Mukherjee, S., & Bhattacharyya, S. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/aaff85 · Cited by 1
Behdinan, T. (2015) · TSpace (University of Toronto) · Cited by 1
Zhou, H., Zhang, Y., Ithapu, V. K., Johnson, S. C., Wahba, G., & Singh, V. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1709.00640 · Cited by 1
Data driven methods for characterizing individual differences in brain MRI
Kumar, K. (2018) · Espace ÉTS (ETS) · doi:10.13140/rg.2.2.12193.71525 · Cited by 1
Molecular simulation and drug design.
Lybrand, T. P. (1991) · PubMed · Cited by 1
Colyer‐Patel, K., Teeuw, J., Maes, V., Goossens, V., Brouwer, R. M., Jahanshad, N., Thompson, P. M., & Pol, H. E. H. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.15.669078 · Cited by 1
Self-citationChandio, B. Q., Feng, Y., Gari, I. B., Alibrando, J. D., Thomopoulos, S. I., Villalón-Reina, J. E., Liou, K., Somu, S., Yoo, H., Nir, T. M., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.23.701434 · Cited by 1
Self-citationWITHDRAWN: Mapping Connectivity in the Developing Brain
Dennis, E. L., & Thompson, P. M. (2013) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2013.05.004
Self-citationAutomaticclusteringandpopulationanalysisofwhitemattertractsusing maximum density paths
Prasad, G., Joshi, H., Villalón‐Reina, J. E., Sapiro, G., McMahon, K. L., Martin, N. G., Wright, M. J., Toga, W., & Thompson, P. M. (2014)
Self-citationAas, M., Blokland, G. A. M., Chawner, S. J. R. A., Choi, S. W., Estrada, J., Forsingdal, A., Friedrich, M. U., Ganesham, S., Hall, L. S., Haslinger, D., et al. (2015) · Psychiatric Genetics · doi:10.1097/ypg.0000000000000112
Reliability issues in imaging genetics
Eriksson, A. (2017) · doi:10.6083/m4cr5sf2
Celesia, G., & Hickok, G. (2015) · Handbook of Clinical Neurology · doi:10.1016/b978-0-444-62630-1.00038-x · Cited by 1
A Fast, Accurate Two-Step Linear Mixed Model for Genetic Analysis Applied to Repeat MRI MeasurementsPreprint
Yang, Q., Roshchupkin, G. V., Niessen, W. J., Medland, S. E., Zhu, A. H., Thompson, P. M., & Jahanshad, N. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1710.10641
Self-citationDeLisi, L. E., Borgwardt, S., & Heinz, A. (2019) · Springer eBooks · doi:10.1007/978-3-319-97307-4_4
White Matter Disruption in Pediatric Traumatic Brain Injury: Results from ENIGMA Pediatric msTBIPreprint
Dennis, E. L., Caeyenberghs, K., Hoskinson, K. R., Merkley, T. L., Suskauer, S. J., Asarnow, R. F., Babikian, T., Bartnik‐Olson, B., Bickart, K. C., Bigler, E. D., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.06.237271
Self-citationRobust Statistical Inference in Human Brain Mapping
Yang, X. (2013)
Benkert, H., Bhatia, S., Mirza-Davies, A., Tan, Z. X., & Harrison, J. R. (2020) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2020.106279
Villalón‐Reina, J. E., Moreau, C. A., Nir, T. M., Jahanshad, N., Lippé, S., Maillard, A. M., Romascano, D., Draganski, B., Bearden, C. E., Thompson, P. M., et al. (2020) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2020.09.370
Self-citationJoo, S. W., Kim, H., Jo, Y. T., Ahn, S., Choi, Y. J., Choi, W., Kim, S. K., Yoon, W., Joe, S., & Lee, J. S. (2022) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2022.103269
RetractedShu, J., Zheng, R., Chirinos, J. A., Copana, C., Li, B., Fan, Z., Yang, X., Yang, Y., Wang, X., Li, Y., et al. (2023) · medRxiv · doi:10.1101/2023.05.22.23290355
van der Horn, H. J., de Koning, M. E., Visser, K., Kok, M. G. J., Spikman, J. M., Scheenen, M. E., Renken, R. J., Calhoun, V. D., Vergara, V. M., Cabral, J., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0295984
A guide to advanced MRI processing for clinical glioma researchPreprint
Clement, P., Beun, S., Arzanforoosh, F., Castellaro, M., Debiasi, G., Emblem, K. E., Fuster‐García, E., Grech‐Sollars, M., Haek, A., Kallehauge, J. F., et al. (2024) · doi:10.31234/osf.io/rh4md
Song, W., Qian, W., Wang, W., Yu, S., & Lin, G. N. (2021) · Figshare · doi:10.6084/m9.figshare.14722092
Song, W., Qian, W., Wang, W., Yu, S., & Lin, G. N. (2021) · Figshare · doi:10.6084/m9.figshare.14722089
Song, W., Qian, W., Wang, W., Yu, S., & Lin, G. N. (2021) · Figshare · doi:10.6084/m9.figshare.14722095
Neural Mechanisms Associated With Postural Control in Collegiate Soccer and Non-Soccer Athletes
Jain, D., Porfido, T., de Souza, N. L., Brown, A. M., Caccese, J. B., Czykier, A., Dennis, E. L., Tosto-Mancuso, J. M., Wilde, E. A., & Esopenko, C. (2024) · Neurology Report · doi:10.1097/npt.0000000000000476
Posttraumatic survivor guilt is associated with white matter microstructure alterations
Rojczyk, P., Seitz‐Holland, J., Heller, C., Marcolini, S., Marshall, A. D., Sydnor, V. J., Kaufmann, E., Jung, L., Bonke, E. M., Berger, L., et al. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.06.047 · Cited by 1
Kochunov, P., Hong, L. E., Summerfelt, A. T., Gao, S., Brown, P. L., Terzi, M., Acheson, A., Woldorff, M. G., Fieremans, E., Abdollahzadeh, A., et al. (2024) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2024.110252
Self-citationOblong, L. M., Soheili‐Nezhad, S., Trevisan, N., Shi, Y., Beckmann, C. F., & Sprooten, E. (2025) · medRxiv · doi:10.1101/2025.06.06.25329112
Self-citationGrigorian, A., Zou, Y., Kennedy, K. G., Dimick, M. K., MacIntosh, B. J., & Goldstein, B. I. (2025) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.250019
Huibregtse, M. E., Li, T., Harnett, N. G., Yuh, E. L., Ely, T. D., Jovanović, T., Calhoun, V. D., Neylan, T. C., House, S. L., Clifford, G. D., et al. (2025) · Journal of Neurotrauma · doi:10.1177/08977151251363590 · Cited by 1
The cellular associates of late life changes in white matter microstructurePreprint
Chin, R., Zhang, X.-H., Anderson, K. M., Yendiki, A., & Holmes, A. J. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.02.673734 · Cited by 1
Generating diffusion MRI scalar maps from T1-weighted images using Reversible GANs
Chattopadhyay, T., Mehendale, G., Thomopoulos, S. I., Joshi, H., Venkatasubramanian, G., John, J. P., Ambite, J. L., Steeg, G. V., & Thompson, P. M. (2025) · International Symposium on Medical Information Processing and Analysis (SIPAIM) · doi:10.1109/sipaim67325.2025.11283422
Self-citationSong, W., Qian, W., Wang, W., Yu, S., & Lin, G. N. (2021) · Figshare · doi:10.6084/m9.figshare.14722098
Using Diffusion Transformers to Generate Synthetic Diffusion Scalar Maps for Data Augmentation
Chattopadhyay, T., Jagad, C., Senthilkumar, P., Thomopoulos, S. I., Villalón-Reina, J. E., & Thompson, P. M. (2025) · International Symposium on Medical Information Processing and Analysis (SIPAIM) · doi:10.1109/sipaim67325.2025.11283192
Self-citationVillalón‐Reina, J. E., Feng, Y., Nabulsi, L., Nir, T. M., Thomopoulos, S. I., Lawrence, K. E., Jahanshad, N., Kia, S. M., Marquand, A. F., & Thompson, P. M. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.04.703901
Self-citationBøen, R., Villalón‐Reina, J. E., Kushan, L., O’Hora, K., Fung, H., Parker, N., Akkouh, I. A., Alnæs, D., O'Hara, R. M., Marzelli, M., et al. (2026) · Molecular Psychiatry · doi:10.1038/s41380-026-03489-4
Self-citationMulti-nuclear RMN in Spectroscopy and Imagery at very high magnetic fields
Stout, J. A. (2019) · theses.fr (ABES) · doi:10.70675/e54ad71az8f87z4c42z9f45z1ddc59f3aac1
Cingulum Bundle White Matter in Bipolar Disorder: Relationship With Impulsivity and Suicide Attempt
Chan, C. C., Gohel, S., Fradkin, S. I., Haznedar, M. M., Chu, K.-W., Goodman, M. S., Hazlett, E. A., & Szeszko, P. R. (2026) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2026.05.003
Lee, H., Ye, Z., Yang, Y., Pan, Y., Maron, B., Wang, Z., Kochunov, P., Thompson, P. M., Hong, L. E., Ma, T., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.27.728155
Self-citationAnton, C., Anton, C., El-Hajj, M., Craner, M., & Lui, R. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-34456-4_6
Disentangling white matter correlates of symptom severity and general impairment in early psychosis
Penzel, N., Cho, K. I. K., Seitz‐Holland, J., Ruef, A., Cabras, G., Klein, P. C., Antonucci, L. A., Dwyer, D., Betz, L. T., Karayumak, S. C., et al. (2026) · Molecular Psychiatry · doi:10.1038/s41380-026-03832-9
Gidwani, S. H., Chattopadhyay, T., Thomopoulos, S. I., & Thompson, P. M. (2026) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2026.1902258
Self-citationMulti-organ imaging genetics: towards an integrated view of brain, body and brain diseases
Fan, Z., & Zhao, B. (2026) · Nature Reviews Neurology · doi:10.1038/s41582-026-01276-x
Metadata
- Authors
- Jahanshad, N., Kochunov, P. V., Sprooten, E., Mandl, R. C., Nichols, T. E., Almasy, L., Blangero, J., Brouwer, R. M., Curran, J. E., de Zubicaray, G. I., Duggirala, R., Fox, P. T., Hong, L. E., Landman, B. A., Martin, N. G., McMahon, K. L., Medland, S. E., Mitchell, B. D., Olvera, R. L., Peterson, C. P., Starr, J. M., Sussmann, J. E., Toga, A. W., Wardlaw, J. M., Wright, M. J., Hulshoff Pol, H. E., Bastin, M. E., McIntosh, A. M., Deary, I. J., Thompson, P. M., & Glahn, D. C.
- Affiliations
- University of California, Los Angeles (US)
- University of Maryland, Baltimore (US)
- Royal Edinburgh Hospital (GB)
- Utrecht University (NL)
- University of Warwick (GB)
- Texas Biomedical Research Institute (US)
- The University of Queensland (AU)
- The University of Texas at San Antonio Health Science Center (US)
- Vanderbilt University (US)
- QIMR Berghofer Medical Research Institute (AU)
- University of Edinburgh (GB)
- Yale University (US)
- ORCID
- Jahanshad, Neda
- Kochunov, Peter V.
- Sprooten, Emma
- Mandl, René C.
- Nichols, Thomas E.
- Almasy, Laura
- Blangero, John
- Brouwer, Rachel M.
- Curran, Joanne E.
- de Zubicaray, Greig I.
- Fox, Peter T.
- Hong, L. Elliot
- Landman, Bennett A.
- Martin, Nicholas G.
- McMahon, Katie L.
- Medland, Sarah E.
- Mitchell, Braxton D.
- Olvera, Rene L.
- Starr, John M.
- Toga, Arthur W.
- Wardlaw, Joanna M.
- Wright, Margaret J.
- Bastin, Mark E.
- McIntosh, Andrew M.
- Deary, Ian J.
- Thompson, Paul M.
- Glahn, David C.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2013-11
- Volume
- 81
- Pages
- 455-469
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC3729717
- OpenAlex
- W2118347577
- Cited by
- 393
- References
- 86
- Citations by year
- 2026: 15 · 2025: 22 · 2024: 28 · 2023: 20 · 2022: 21 · 2021: 32 · 2020: 45 · 2019: 38 · 2018: 31 · 2017: 32 · 2016: 32 · 2015: 32 · 2014: 28 · 2013: 16
- FWCI
- 27.94
- Type
- journal article
- Language
- en
- Update notices
- erratum (2014-04-15)
- Open access
- hybrid
- doi.org
- Licence
- Locations
- NeuroImage (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Warwick Research Archive Portal (University of Warwick) (acceptedVersion)
- PubMed Central (acceptedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion, cc-by-nc-nd)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by-nc-nd)
- Faculty of Health; Institute of Health and Biomedical Innovation
- Funders
- R01 HD050735 (486682)
- R01 EB015611 (EB008432, EB008281, EB007813)
- MH0708143 (FT0991634)
- MH083824 (087727/Z/08/Z)
- MH078111
- MH59490
- National Health and Medical Research Council (NHMRC
- NIH (EB015611-01, U54MH091657-03)
- ARC Future Fellowship
- Wellcome Trust
- NARSAD Independent Investigator Award
- Scottish Funding Council Senior Clinical Fellowship
- Academy of Medical Sciences/Health Foundation Clinician Scientist Fellowship
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Clinical Neurology › Cerebrovascular and genetic disorders
- Keywords
- diffusion tensor imaging, fractional anisotropy, heritability, white matter integrity, ENIGMA consortium, mega-analysis
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Brain, Brain Mapping, Female, Humans, Image Processing, Computer-Assisted, Male, Middle Aged, Pilot Projects, Registries, Anisotropy, Young Adult, Diffusion Tensor Imaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
