Fractional anisotropy derived from the diffusion tensor distribution function boosts power to detect Alzheimer’s disease deficits
Open accessAbstract
Purpose In diffusion MRI (dMRI), fractional anisotropy derived from the single‐tensor model (FADTI) is the most widely used metric to characterize white matter (WM) microarchitecture, despite known limitations in regions with crossing fibers. Due to time constraints when scanning patients in clinical settings, high angular resolution diffusion imaging acquisition protocols, often used to overcome these limitations, are still rare in clinical population studies. However, the tensor distribution function (TDF) may be used to model multiple underlying fibers by representing the diffusion profile as a probabilistic mixture of tensors. Methods We compared the ability of standard FADTIand TDF‐derived FA (FATDF), calculated from a range of dMRI angular resolutions (41, 30, 15, and 7 gradient directions), to profile WM deficits in 251 individuals from the Alzheimer's Disease Neuroimaging Initiative and to detect associations with 1) Alzheimer's disease diagnosis, 2) Clinical Dementia Rating scores, and 3) average hippocampal volume. Results Across angular resolutions and statistical tests, FATDFshowed larger effect sizes than FADTI, particularly in regions preferentially affected by Alzheimer's disease, and was less susceptible to crossing fiber anomalies. Conclusion The TDF “corrected” form of FA may be a more sensitive and accurate alternative to the commonly used FADTI, even in clinical quality dMRI data. Magn Reson Med 78:2322–2333, 2017. © 2017 International Society for Magnetic Resonance in Medicine.
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
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?
FATDF can be more sensitive to neurodegenerative disease-related WM abnormalities than FADTI across high- and low-angular resolution dMRI.
“we also evaluated a modified measure of FA, derived from the tensor distribution function (FATDF; Leow et al., 2009) which can be more sensitive to neurodegenerative disease-related WM abnormalities than FADTI across high- and low-angular resolution dMRI (Nir 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 Nir et al., 2017
FATDF addresses the limitation of DTI with crossing fibers even in low angular resolution data.
“FATDF addresses this limitation even in low angular resolution data (Nir 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 Nir et al., 2017
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,588 · see citing works
Spin Diffusion Measurements: Spin Echoes in the Presence of a Time-Dependent Field Gradient
Stejskal, E. O., & Tanner, J. E. (1965) · The Journal of Chemical Physics · doi:10.1063/1.1695690 · Cited by 8,239 · see citing works
MR 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 · see citing works
A reproducible evaluation of ANTs similarity metric performance in brain image registration
Avants, B. B., Tustison, N. J., Song, G., Cook, P. A., Klein, A., & Gee, J. C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.025 · Cited by 4,796 · see citing works
Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
Behrens, T. E. J., Berg, H. J., Jbabdi, S., Rushworth, M. F. S., & Woolrich, M. W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.018 · Cited by 3,471 · see citing works
NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain
Zhang, H., Schneider, T., Wheeler-Kingshott, C. A., & Alexander, D. C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.072 · Cited by 3,288 · see citing works
Characterization and propagation of uncertainty in diffusion-weighted MR imaging
Behrens, T. E. J., Woolrich, M. W., Jenkinson, M., Johansen‐Berg, H., Nunes, R. G., Clare, S., Matthews, P. M., Brady, J. M., & Smith, S. M. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10609 · Cited by 3,038 · see citing works
Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis
Smith, S. M., Zhang, Y., Jenkinson, M., Chen, J. M., Matthews, P. M., Federico, A., & Stefano, N. D. (2002) · NeuroImage · doi:10.1006/nimg.2002.1040 · Cited by 2,013 · see citing works
Tuch, D. S. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20279 · Cited by 1,880 · see citing works
Tournier, J.-D., Calamante, F., Gadian, D. G., & Connelly, A. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.037 · Cited by 1,635 · see citing works
On the Implementation of a Primal-Dual Interior Point Method
Mehrotra, S. (1992) · SIAM Journal on Optimization · doi:10.1137/0802028 · Cited by 1,632 · see citing works
(2006) · WORLD SCIENTIFIC eBooks · doi:10.1142/9789812774248_0002 · Cited by 1,361 · see citing works
Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging
Wedeen, V. J., Hagmann, P., Tseng, W. I., Reese, T. G., & Weisskoff, R. M. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20642 · Cited by 1,339 · see citing works
for the ENIGMA-Major Depressive Disorder Working Group, Schmaal, L., Hibar, D. P., Sämann, P. G., Hall, G. B., Baune, B. T., Jahanshad, N., Cheung, J. W., van Erp, T. G. M., Bos, D., et al. (2017) · Molecular Psychiatry · doi:10.1038/mp.2016.60 · Cited by 1,330 · see citing works
Self-citationfor the ENIGMA Schizophrenia Working Group, van Erp, T. G. M., Hibar, D. P., Rasmussen, J. M., Glahn, D. C., Pearlson, G. D., Andreassen, O. A., Agartz, I., Westlye, L. T., Haukvik, U. K., et al. (2015) · Molecular Psychiatry · doi:10.1038/mp.2015.63 · Cited by 1,140 · see citing works
Self-citationDeterministic and probabilistic tractography based on complex fibre orientation distributions
Descoteaux, M., Deriche, R., Knosche, T. R., & Anwander, A. (2009) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.2004424 · Cited by 698 · see citing works
Clinical Dementia Rating (CDR)
Gauthier, S. G. (2001) · CRC Press eBooks · doi:10.3109/9780203213896-34 · Cited by 696 · see citing works
Orientationally invariant indices of axon diameter and density from diffusion MRI
Alexander, D. C., Hubbard, P. L., Hall, M. G., Moore, E. A., Ptito, M., Parker, G. J. M., & Dyrby, T. B. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.043 · Cited by 683 · see citing works
Alzheimer' Disease as a Disconnection Syndrome?
Delbeuck, X., der Linden, M. V., & Collette, F. (2003) · Neuropsychology Review · doi:10.1023/a:1023832305702 · Cited by 681 · see citing works
Douaud, G., Jbabdi, S., Behrens, T. E. J., Menke, R. A., Gass, A., Monsch, A. U., Rao, A., Whitcher, B., Kindlmann, G., Matthews, P. M., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.008 · Cited by 514 · see citing works
Subcortical volumetric abnormalities in bipolar disorder
Hibar, D. P., for the ENIGMA Bipolar Disorder Working Group, Westlye, L. T., van Erp, T. G. M., Rasmussen, J. M., Leonardo, C. D., Faskowitz, J., Haukvik, U. K., Hartberg, C. B., Doan, N. T., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.227 · Cited by 501 · see citing works
Self-citationIn vivo measurement of axon diameter distribution in the corpus callosum of rat brain.
Barazany, D., Basser, P., & Assaf, Y. (2009) · Brain : a journal of neurology · doi:10.1093/brain/awp042 · Cited by 425 · see citing works
Alexander, D. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21646 · Cited by 394 · see citing works
Interior point methods 25 years later
Gondzio, J. (2011) · European Journal of Operational Research · doi:10.1016/j.ejor.2011.09.017 · Cited by 372 · see citing works
Aganj, I., Lenglet, C., Sapiro, G., Yacoub, E. S., Uǧurbil, K., & Harel, N. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22365 · Cited by 369 · see citing works
Effectiveness of regional DTI measures in distinguishing Alzheimer’s disease, MCI, and normal aging
Nir, T. M., Jahanshad, N., Villalon-Reina, J. E., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.07.006 · Cited by 348 · see citing works
Self-citationCercignani, M. (2001) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.70.3.311 · Cited by 287 · see citing works
MRI atlas of human white matter
Oishi, K., & Crain, B. J. (2010) · Cited by 272 · see citing works
Evaluation and statistical inference for human connectomes
Pestilli, F., Yeatman, J. D., Rokem, A., Kay, K. N., & Wandell, B. A. (2014) · Nature Methods · doi:10.1038/nmeth.3098 · Cited by 259 · see citing works
Gray and white matter water diffusion in the syndromic variants of frontotemporal dementia
Whitwell, J. L., Avula, R. T. V., Senjem, M. L., Kantarci, K., Weigand, S. D., Samikoglu, A. R., Edmonson, H. A., Vemuri, P., Knopman, D. S., Boeve, B. F., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181d9edde · Cited by 256 · see citing works
Self-citationvan Erp, T. G. M., Hibar, D. P., Rasmussen, J. M., Glahn, D. C., Pearlson, G. D., Andreassen, O. A., Agartz, I., Westlye, L. T., Haukvik, U. K., Dale, A. M., et al. (2015) · Molecular Psychiatry · doi:10.1038/mp.2015.118 · Cited by 253 · see citing works
Self-citationDWI predicts future progression to Alzheimer disease in amnestic mild cognitive impairment
Kantarci, K., Petersen, R. C., Boeve, B. F., Knopman, D. S., Weigand, S. D., O’Brien, P. C., Shiung, M. M., Smith, G. E., Ivnik, R. J., Tangalos, E. G., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000153076.46126.e9 · Cited by 251 · see citing works
Self-citationMagnetic resonance imaging in Alzheimer’s disease neuroimaging initiative 2
Jack, C. R., Barnes, J., Bernstein, M. A., Borowski, B. J., Brewer, J., Clegg, S., Dale, A. M., Carmichael, O., Ching, C., DeCarli, C., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2015.05.002 · Cited by 220 · see citing works
Self-citationA novel tensor distribution model for the diffusion-weighted MR signal
Jian, B., Vemuri, B. C., Özarslan, E., Carney, P. R., & Mareci, T. H. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.074 · Cited by 214 · see citing works
Weston, P. S. J., Simpson, I. J. A., Ryan, N. S., Ourselin, S., & Fox, N. C. (2015) · Alzheimer's Research & Therapy · doi:10.1186/s13195-015-0132-3 · Cited by 214 · see citing works
Functional implications of hippocampal volume and diffusivity in mild cognitive impairment
Müller, M. J., Greverus, D., Dellani, P. R., Weibrich, C., Wille, P. R., Scheurich, A., Stoeter, P., & Fellgiebel, A. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.029 · Cited by 210 · see citing works
Leow, A., Yanovsky, I., Chiang, M.-C., Lee, A. D., Klunder, A. D., Lu, A. P., Becker, J. T., Davis, S. W., Toga, A. W., & Thompson, P. M. (2007) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.892646 · Cited by 209 · see citing works
Self-citationVoxel-based detection of white matter abnormalities in mild Alzheimer disease
Xie, S., Xiao, J., Gong, G., Zang, Y., Wang, Y., Wu, H., & Jiang, X. X. (2006) · Neurology · doi:10.1212/01.wnl.0000219625.77625.aa · Cited by 208 · see citing works
Bozzali, M., Cercignani, M., Sormani, M. P., Comı, G., & Filippi, M. (2002) · PubMed Central · Cited by 195 · see citing works
Comprehensive Biomedical Physics
(2014) · Elsevier eBooks · doi:10.1016/c2009-0-61095-3 · Cited by 168 · see citing works
Relating imaging indices of white matter integrity and volume in healthy older adults
Hugenschmidt, C. E., Peiffer, A. M., Kraft, R. A., Casanova, R., Deibler, A. R., Burdette, J. H., Maldjian, J. A., & Laurienti, P. J. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm080 · Cited by 166 · see citing works
DTI analyses and clinical applications in Alzheimer’s disease
Oishi, K., Mielke, M. M., Albert, M., Lyketsos, C. G., & Mori, S. (2011) · Journal of Alzheimer's Disease · doi:10.3233/jad-2011-0007 · Cited by 134 · see citing works
The tensor distribution function
Leow, A. D., Zhu, S., Zhan, L., McMahon, K., de Zubicaray, G. I., Meredith, M., Wright, M. J., Toga, A. W., & Thompson, P. M. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21852 · Cited by 101 · see citing works
Self-citationCanu, E., McLaren, D. G., Fitzgerald, M. E., Bendlin, B. B., Zoccatelli, G., Alessandrini, F., Pizzini, F. B., Ricciardi, G. K., Beltramello, A., Johnson, S. C., et al. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-1295 · Cited by 96 · see citing works
Evaluating the Accuracy of Diffusion MRI Models in White Matter
Rokem, A., Yeatman, J. D., Pestilli, F., Kay, K. N., Mezer, A., van der Walt, S., & Wandell, B. (2015) · PLoS ONE · doi:10.1371/journal.pone.0123272 · Cited by 91 · see citing works
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 · doi:10.1016/j.neuroimage.2009.09.057 · Cited by 79 · see citing works
Self-citationNir, T. M., Villalón‐Reina, J. E., Prasad, G., Jahanshad, N., Joshi, S. H., Toga, A. W., Bernstein, M. A., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.05.037 · Cited by 75 · see citing works
Self-citationChiapponi, C., Piras, F., Piras, F., Fagioli, S., Caltagirone, C., & Spalletta, G. (2013) · PLoS ONE · doi:10.1371/journal.pone.0075115 · Cited by 39 · see citing works
Connectivity network measures predict volumetric atrophy in mild cognitive impairment
Nir, T. M., Jahanshad, N., Toga, A. W., Bernstein, M. A., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.04.038 · Cited by 34 · see citing works
Self-citationConnectomics Sheds New Light on Alzheimer’s Disease
Toga, A. W., & Thompson, P. M. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.01.004 · Cited by 25 · see citing works
Self-citationA Novel Measure of Fractional Anisotropy Based on the Tensor Distribution Function
Zhan, L., Leow, A., Zhu, S., Marina Barysheva, A., Toga, A. W., McMahon, K. L., de Zubicaray, G. I., Wright, M. J., & Thompson, P. M. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04268-3_104 · Cited by 20 · see citing works
Self-citationTDF-TRACT: Probabilistic tractography using the tensor distribution function
GadElkarim, J., Zhan, L., Yang, S., Zhang, A. F., Altshuler, L., Lamar, M., Ajilore, O., Thompson, P. M., Kumar, A., & Leow, A. (2011) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2011.5872529 · Cited by 3 · see citing works
Self-citation
Flagged first, then by citations
1 of the 54 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- [17]Nir TM Zavaliangos-Petropulu A Jahanshad N Villalon-Reina JE Zhan L Leow AD Diffusion Tensor Distribution Function Metrics Boost Power to Detect Defecits in Alzhemier’s Disease 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) 2016 April 13 2016–April 16 2016
Cited by
Sorted by citations
Zavaliangos-Petropulu, A., Nir, T. M., Thomopoulos, S. I., Reid, R. I., Bernstein, M. A., Borowski, B., Jack Jr., C. R., Weiner, M. W., Jahanshad, N., & Thompson, P. M. (2019) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2019.00002 · Cited by 101 · see citing works
“FA TDF addresses this limitation even in low angular resolution data (Nir et al., 2017).”
InfluentialSelf-citationLawrence, 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. (2021) · Brain Imaging and Behavior · doi:10.1007/s11682-021-00548-y · Cited by 80 · see citing works
Self-citationSpatiotemporal characteristics of PM2.5 and its associated gas pollutants, a case in China
Mi, K., Zhuang, R., Zhang, Z., Gao, J., & Pei, Q. (2018) · Sustainable Cities and Society · doi:10.1016/j.scs.2018.11.004 · Cited by 60 · see citing works
Mitochondrial DNA variation in Alzheimer’s disease reveals a unique microprotein called SHMOOSE
Miller, B., Kim, S., Mehta, H. H., Cao, K., Kumagai, H., Thumaty, N., Leelaprachakul, N., Braniff, R. G., Jiao, H., Vaughan, J. M., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01769-3 · Cited by 53 · see citing works
Diffusion tensor tractography of brainstem fibers and its application in pain
Zhang, Y., Vakhtin, A. A., Jennings, J. S., Massaband, P., Wintermark, M., Craig, P. L., Ashford, J. W., Clark, J. D., & Furst, A. J. (2020) · PLoS ONE · doi:10.1371/journal.pone.0213952 · Cited by 48 · see citing works
Cerebellar White Matter Disruption in Alzheimer’s Disease Patients: A Diffusion Tensor Imaging Study
Toniolo, S., Serra, L., Olivito, G., Caltagirone, C., Mercuri, N. B., Marra, C., Cercignani, M., & Bozzali, M. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-191125 · Cited by 40 · see citing works
Challenges and Opportunities in dMRI Data Harmonization
Zhu, A. H., Moyer, D., Nir, T. M., Thompson, P. M., & Jahanshad, N. (2019) · Mathematics and visualization · doi:10.1007/978-3-030-05831-9_13 · Cited by 27 · see citing works
Self-citationDennis, E., Caeyenberghs, K., Asarnow, R., Babikian, T., Bartnik-Olson, B. L., Bigler, E., Figaji, A., Giza, C., Goodrich-Hunsaker, N. J., Hodges, C., et al. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-020-00363-x · Cited by 19 · see citing works
Self-citationDiffusion MRI metrics and their relation to dementia severity: effects of harmonization approaches
Thomopoulos, S. I., Nir, T. M., Villalón‐Reina, J. E., Zavaliangos‐Petropulu, A., Maiti, P., Zheng, H., Nourollahimoghadam, E., Jahanshad, N., Thompson, P. M., & Initiative, A. D. N. (2021) · International Symposium on Medical Information Processing and Analysis (SIPAIM) · doi:10.1117/12.2606337 · Cited by 22 · see citing works
Self-citationSystems modeling of white matter microstructural abnormalities in Alzheimer's disease
Horgusluoglu, E., Xiao, G., Wang, M., Wang, Q., Zhou, X., Nho, K. T., Saykin, A. J., Schadt, E. E., & Zhang, B. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102203 · Cited by 19 · see citing works
Badji, A., Cohen‐Adad, J., & Girouard, H. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.856782 · Cited by 14 · see citing works
The Impact of Alcohol Use on Frontal White Matter in HIV
Gullett, J. M., Lamb, D. G., Porges, E. C., Woods, A. J., Rieke, J. D., Thompson, P. M., Jahanshad, N., Nir, T. M., Tashima, K. T., & Cohen, R. A. (2018) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.13823 · Cited by 14 · see citing works
Self-citationBrusini, L., Cruciani, F., Dallaglio, G., Zajac, T., Galazzo, I. B., Zucchelli, M., & Menegaz, G. (2024) · IEEE Journal of Translational Engineering in Health and Medicine · doi:10.1109/jtehm.2024.3430035 · Cited by 12 · see citing works
Pomilio, A. B., Vitale, A. A., & Lazarowski, A. (2022) · Current Pharmaceutical Design · doi:10.2174/1381612828666220413094918 · Cited by 8 · see citing works
Nabulsi, L., Lawrence, K. E., Santhalingam, V., Abaryan, Z., Boyle, C. P., Villalón‐Reina, J. E., Nir, T. M., Gari, I. B., Zhu, A. H., Haddad, E., et al. (2020) · International Symposium on Medical Information Processing and Analysis (SIPAIM) · doi:10.1117/12.2579631 · Cited by 8 · see citing works
Self-citationChattopadhyay, T., Joshy, N. A., Ozarkar, S. S., Buwa, K., Feng, Y., Laltoo, E., Thomopoulos, S. I., Villalon, J. E., Joshi, H., Venkatasubramanian, G., et al. (2024) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc53108.2024.10781599 · Cited by 7 · see citing works
Self-citationKim, G. S., Chandio, B. Q., Benavidez, S. M., Feng, Y., Thompson, P. M., & Lawrence, K. E. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf291 · Cited by 8 · see citing works
Self-citationBenavidez, S. M., Abaryan, Z., Kim, G. S., Laltoo, E., McCracken, J. T., Thompson, P. M., & Lawrence, K. E. (2024) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc53108.2024.10781992 · Cited by 5 · see citing works
Self-citationVillalón-Reina, J. E., Forsyth, J. K., Kushan, L., Vajdi, A., Jalbrzikowski, M., Antshel, K. M., Fremont, W. P., Campbell, L., McCabe, K., Durdle, C. A., et al. (2018) · International Symposium on Medical Information Processing and Analysis (SIPAIM) · doi:10.1117/12.2513788 · Cited by 4 · see citing works
Self-citationDziadkowiak, E., Koszewicz, M. A., Podgórski, P., Wieczorek, M., Budrewicz, S. P., & Zimny, A. (2024) · Frontiers in Neurology · doi:10.3389/fneur.2024.1301405 · Cited by 4 · see citing works
Concussions in young adult athletes: No effect on cerebral white matter
Hoffman, L. J., Mis, R. E., Brough, C., Ramirez, S. H., Langford, D., Giovannetti, T., & Olson, I. R. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.1113971 · Cited by 4 · see citing works
Chattopadhyay, T., Singh, A., Joshy, N. A., Thomopoulos, S. I., Nir, T. M., Zheng, H., Nourollahimoghadam, E., Gupta, U., Steeg, G. V., Jahanshad, N., et al. (2023) · International Symposium on Medical Information Processing and Analysis (SIPAIM) · doi:10.1117/12.2669725 · Cited by 4 · see citing works
Self-citationFeng, Y., Chandio, B. Q., Villalón‐Reina, J. E., Benavidez, S. M., Chattopadhyay, T., Chehrzadeh, S., Laltoo, E., Thomopoulos, S. I., Joshi, H., Venkatasubramanian, G., et al. (2024) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc53108.2024.10781681 · Cited by 4 · see citing works
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 · see citing works
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 · see citing works
Self-citationNir, T. M., Haddad, E., Thompson, P. M., & Jahanshad, N. (2021) · Current topics in behavioral neurosciences · doi:10.1007/7854_2021_221 · Cited by 3 · see citing works
Self-citationLawrence, 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 · see citing works
Self-citationMapping 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 · see citing works
Self-citationBrusini, L., Dolci, G., Pini, L., Cruciani, F., Pizzagalli, F., Provero, P., Menegaz, G., & Galazzo, I. B. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252312871 · Cited by 1 · see citing works
White 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 · see citing works
Self-citationPini, L., Tuzzato, C., Griffa, A., Brusini, L., Cruciani, F., Allali, G., Corbetta, M., Menegaz, G., Galazzo, I. B., & Initiative, A. D. N. (2025) · Human Brain Mapping · doi:10.1002/hbm.70406 · Cited by 1 · see citing works
Autobiographical memory in children: relation to neural white matter
Litwin, J., Hill, K., Foley, J. M., Tani, N., Cohen, S. S., Newcombe, N. S., & Olson, I. R. (2025) · Memory · doi:10.1080/09658211.2025.2554938 · Cited by 1 · see citing works
Toniolo, S., Attaallah, B., Broulidakis, J., Maio, M. R., Slavkova, E. D., Dickson, S. S., Plant, O., Idris, I., Tabi, Y. A., Butler, C., et al. (2026) · medRxiv · doi:10.64898/2026.02.10.26345988
Anand, S., Yeh, F.-C. F., & Venkadesh, S. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.122228
- Authors
- 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., & (ADNI), F. T. A. D. N. I.
- Affiliations
- University of Southern California (US)
- Imaging Genetics Center University of Southern California, Marina del Rey California USA
- University of Wisconsin–Stout (US)
- University of Illinois Chicago (US)
- Mayo Clinic (US)
- University of California, San Francisco (US)
- Corresponding author
- Thompson, Paul M.
- ORCID
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2017-03-07
- Volume
- 78
- Issue
- 6
- Pages
- 2322-2333
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- PMC
- PMC5849251
- OpenAlex
- W2593695793
- Cited by
- 34
- References
- 54
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 6 · 2023: 2 · 2022: 3 · 2021: 3 · 2020: 6 · 2019: 3 · 2018: 4
- FWCI
- 2.73
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- Locations
- Magnetic Resonance in Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- U.S. Department of Defense (W81XWH‐12‐2‐0012)
- National Institutes of Health (U01 AG24904, U54 EB020403)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- fractional anisotropy, diffusion tensor imaging, Alzheimer's disease, crossing fibers, angular resolution, hippocampal volume, Clinical Dementia Rating, diffusion MRI
- MeSH terms
- Aged, Alzheimer Disease, Brain, Brain Mapping, Cognition Disorders, Female, Hippocampus, Humans, Image Processing, Computer-Assisted, Longitudinal Studies, Male, Memory, Memory Disorders, Middle Aged, Reproducibility of Results, Anisotropy, Diffusion Magnetic Resonance Imaging, White Matter
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
