Cited by 1,537Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

The DOI matches its Crossref record; 93 of the 96 references it cites were found in a registry or an index.

Diffusion Tensor Imaging (DTI)-based White Matter Mapping in Brain Research: A Review

Assaf, Yaniv, Pasternak, Ofer·2008·Journal of Molecular Neuroscience

DOI 10.1007/s12031-007-0029-0

Open this paper in CoChat — free account

Abstract

Diffusion tensor imaging (DTI) has become one of the most popular MRI techniques in brain research, as well as in clinical practice. The number of brain studies with DTI is growing steadily and, over the last decade, has produced more than 700 publications. Diffusion tensor imaging enables visualization and characterization of white matter fascicli in two and three dimensions. Since the introduction of this methodology in 1994, it has been used to study the white matter architecture and integrity of the normal and diseased brains (multiple sclerosis, stroke, aging, dementia, schizophrenia, etc.). Although it provided image contrast that was not available with routine MR techniques, unique information on white matter and 3D visualization of neuronal pathways, many questions were raised regarding the origin of the DTI signal. Diffusion tensor imaging is constantly validated, challenged, and developed in terms of acquisition scheme, image processing, analysis, and interpretation. While DTI offers a powerful tool to study and visualize white matter, it suffers from inherent artifacts and limitations. The partial volume effect and the inability of the model to cope with non-Gaussian diffusion are its two main drawbacks. Nevertheless, when combined with functional brain mapping, DTI provides an efficient tool for comprehensive, noninvasive, functional anatomy mapping of the human brain. This review summarizes the development of DTI in the last decade with respect to the specificity…

Integrity signals

Registry

Crossref · 10.1007/s12031-007-0029-0

Cites

93 of 93 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

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
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,628
Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306
Principles of Nuclear Magnetic Resonance Microscopy
Callaghan, P. T. (1991) · doi:10.1093/oso/9780198539445.001.0001 · Cited by 3,614
Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging
Mori, S., Crain, B. J., Chacko, V. P., & van Zijl, P. C. M. (1999) · Annals of Neurology · doi:10.1002/1531-8249(199902)45:2 · Cited by 3,513
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664
Diffusional kurtosis imaging: the quantification of non‐gaussian water diffusion by means of magnetic resonance imaging
Jensen, J. H., Helpern, J. A., Ramani, A., Lu, H., & Kaczynski, K. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20508 · Cited by 2,488
American Journal of Neuroradiology
(2020) · American Journal of Neuroradiology · doi:10.3174/ajnr · Cited by 2,468
Toward a quantitative assessment of diffusion anisotropy
Pierpaoli, C. M., & Basser, P. J. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910360612 · Cited by 2,392
Q-ball imaging
Tuch, D. S. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20279 · Cited by 1,880

Show all 96 references

Research works printed but not linked: 3

Basser, P. J., Pajevic, S., Pierpaoli, C., Duda, J., & Aldroubi, A. (2000). In vivo fiber tractography using DT-MRI data. Magnetic Resonance in Medicine, 44, 625–632. · DOI
Pasternak, O., Sochen, N., & Assaf, Y. (2004). Separation of white matter fascicles from diffusion MRI using -functional regularization. Proceedings of the International Society for Magnetic Resonance in Medicine, 12, 1227.
Pasternak, O., Sochen, N., & Assaf, Y. (2006). PDE based estimation and regularization of multiple diffusion tensor fields. In J. Weickert & H. Hagen (Eds.), Visualization and image processing of tensor fields. Berlin: Springer.

Sorted by citations

Items 401–500 of 1,000

Socioeconomic status is positively correlated with frontal white matter integrity in aging
Johnson, N. F., Kim, C., & Gold, B. T. (2012) · AGE · doi:10.1007/s11357-012-9493-8 · Cited by 35
Second language use rather than second language knowledge relates to changes in white matter microstructure
Maschio, N. D., Sulpizio, S., Toti, M., Caprioglio, C., Mauro, G. D., Fedeli, D., & Abutalebi, J. (2019) · Journal of Cultural Cognitive Science · doi:10.1007/s41809-019-00039-z · Cited by 39
White matter and nigral alterations in multiple system atrophy-parkinsonian type
Ogawa, T., Hatano, T., Kamagata, K., Andica, C., Takeshige‐Amano, H., Uchida, W., Kamiyama, D., Shimo, Y., Oyama, G., Umemura, A., et al. (2021) · npj Parkinson s Disease · doi:10.1038/s41531-021-00236-0 · Cited by 35
Characteristics of injury of the corticospinal tract and corticoreticular pathway in hemiparetic patients with putaminal hemorrhage
Yoo, J. S., Choi, B. Y., Chang, C. H., Jung, Y. J., Kim, S. H., & Jang, S. H. (2014) · BMC Neurology · doi:10.1186/1471-2377-14-121 · Cited by 33
Recovery of Injured Lower Portion of the Ascending Reticular Activating System in a Patient with Traumatic Brain Injury
Jang, S. H., Kim, S. H., Lim, H. W., & Yeo, S. S. (2015) · American Journal of Physical Medicine & Rehabilitation · doi:10.1097/phm.0000000000000274 · Cited by 33
Altered Microstructure Within Social-Cognitive Brain Networks During Childhood in Williams Syndrome
Haas, B. W., Barnea‐Goraly, N., Sheau, K. E., Yamagata, B., Ullas, S., & Reiss, A. L. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht135 · Cited by 37
Injuries of the Cingulum and Fornix After Rupture of an Anterior Communicating Artery Aneurysm
Hong, J. H., Choi, B. Y., Chang, C. H., Kim, S. H., Jung, Y. J., Byun, W. M., & Jang, S. H. (2011) · Neurosurgery · doi:10.1227/neu.0b013e3182367124 · Cited by 33
Neural correlates of motor expertise: Extensive motor training and cortical changes
Calmels, C. (2019) · Brain Research · doi:10.1016/j.brainres.2019.146323 · Cited by 39
Schizophrenia Classification Using fMRI Data Based on a Multiple Feature Image Capsule Network Ensemble
Yang, B., Chen, Y., Shao, Q.-M., Yu, R., Li, W., Guo, G., Jiang, J., & Pan, L. (2019) · IEEE Access · doi:10.1109/access.2019.2933550 · Cited by 34
Repeatability of Quantitative Sodium Magnetic Resonance Imaging for Estimating Pseudo-Intracellular Sodium Concentration and Pseudo-Extracellular Volume Fraction in Brain at 3 T
Madelin, G., Babb, J. S., Xia, D., & Regatte, R. R. (2015) · PLoS ONE · doi:10.1371/journal.pone.0118692 · Cited by 32
Aneurysmal Subarachnoid Hemorrhage Causes Injury of the Ascending Reticular Activating System: Relation to Consciousness
Jang, S.-H., & Kim, H. S. (2015) · American Journal of Neuroradiology · doi:10.3174/ajnr.a4203 · Cited by 33
Psychopathic traits modulate microstructural integrity of right uncinate fasciculus in a community population
Sobhani, M., Baker, L. A., Martins, B. S., Tuvblad, C., & Aziz‐Zadeh, L. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.03.012 · Cited by 33
Molecular Imaging in Traditional Chinese Medicine Therapy for Neurological Diseases
Wang, Z., Wan, H., Li, J., Zhang, H., & Tian, M. (2013) · BioMed Research International · doi:10.1155/2013/608430 · Cited by 33
White matter integrity and behavioral activation in healthy subjects
Xu, J., Hedy Kober, A., Carroll, K. M., Rounsaville, B. J., Pearlson, G. D., & Potenza, M. N. (2011) · Human Brain Mapping · doi:10.1002/hbm.21275 · Cited by 33
Injury of the mammillothalamic tract in patients with subarachnoid haemorrhage: a retrospective diffusion tensor imaging study
Jang, S. H., Choi, B. Y., Kim, S. H., Chang, C. H., Jung, Y., & Kwon, H. G. (2014) · BMJ Open · doi:10.1136/bmjopen-2014-005613 · Cited by 32
Fractional anisotropy helps predicts memory rehabilitation outcome after traumatic brain injury
Strangman, G. E., O’Neil-Pirozzi, T. M., Supelana, C. J., Goldstein, R., Katz, D. I., & Glenn, M. B. (2012) · Neurorehabilitation · doi:10.3233/nre-2012-0797 · Cited by 31
Pathogeneses and Imaging Features of Cerebral White Matter Lesions of Vascular Origins
Wu, X., Ya, J., Zhou, D., Ding, Y., Ji, X., & Meng, R. (2021) · Aging and Disease · doi:10.14336/ad.2021.0414 · Cited by 32
Inter- and intra-individual variation in brain structural-cognition relationships in aging
Patel, R., Mackay, C. E., Jansen, M. G., Devenyi, G. A., O'Donoghue, M. C., Mika Kivimaki, B., Singh‐Manoux, A., Zsoldos, E., Ebmeier, K. P., Chakravarty, M. M., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119254 · Cited by 37
Increased left hemisphere impairment in high-functioning autism: A tract based spatial statistics study
Perkins, T. J., Stokes, M. A., McGillivray, J., Mussap, A. J., Cox, I. A., Maller, J. J., & Bittar, R. G. (2014) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2014.08.003 · Cited by 33
Periventricular White Matter Injury by Primary Intraventricular Hemorrhage: A Diffusion Tensor Imaging Study
Yeo, S. S., Choi, B. Y., Chang, C. H., Jung, Y. J., Ahn, S. H., Son, S. M., Byun, W. M., & Jang, S. H. (2011) · European Neurology · doi:10.1159/000330942 · Cited by 32
'Neonates do not feel pain': a critical review of the evidence
Marchant, A. (2014) · Bioscience Horizons The International Journal of Student Research · doi:10.1093/biohorizons/hzu006 · Cited by 35
Leukoaraiosis: Epidemiology, Imaging, Risk Factors, and Management of Age-Related Cerebral White Matter Hyperintensities
Huang, W.-Q., Lin, Q., & Tzeng, C. (2024) · Journal of Stroke · doi:10.5853/jos.2023.02719 · Cited by 35
Diffusion MRI microstructure models with in vivo human brain Connectome data: results from a multi‐group comparison
Ferizi, U., Scherrer, B., Schneider, T., Alipoor, M., Eufracio, O., Fick, R., Rachid Deriche, B., Nilsson, M., Loya-Olivas, A. K., Rivera, M., et al. (2017) · NMR in Biomedicine · doi:10.1002/nbm.3734 · Cited by 31
Early treadmill exercise increases macrophage migration inhibitory factor expression after cerebral ischemia/reperfusion
Chang, M. C., Park, C. R., Rhie, S. H., Shim, W. H., & Kim, D. Y. (2019) · Neural Regeneration Research · doi:10.4103/1673-5374.251330 · Cited by 32
Fast and accurate initialization of the free‐water imaging model parameters from multi‐shell diffusion MRI
Bergmann, Ø., Henriques, R. N., Westin, C., & Pasternak, O. (2019) · NMR in Biomedicine · doi:10.1002/nbm.4219 · Cited by 31
Self-citation
Using the biophysical CHARMED model to elucidate the underpinnings of contrast in diffusional kurtosis analysis of diffusion-weighted MRI
Santis, S. D., Assaf, Y., & Jones, D. K. (2011) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-011-0292-5 · Cited by 30
Self-citation
Neural tracts injuries in patients with hypoxic ischemic brain injury: Diffusion tensor imaging study
Lee, A. Y., Shin, D., Park, J., Hong, G., Chang, P., Seo, J. P., & Jang, S. H. (2012) · Neuroscience Letters · doi:10.1016/j.neulet.2012.08.053 · Cited by 31
Neurite Orientation Dispersion and Density Imaging in Multiple Sclerosis: A Systematic Review
Seyedmirzaei, H., Nabizadeh, F., Aarabi, M. H., & Pini, L. (2023) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.28727 · Cited by 31
Structural imaging techniques in schizophrenia
Perlini, C., Bellani, M., & Brambilla, P. (2012) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2012.01868.x · Cited by 30
Diffusion Tensor Magnetic Resonance Imaging of the Pancreas
Nissan, N., Golan, T., Furman‐Haran, E., Apter, S., Inbar, Y., Ariche, A., Zakai, B. B., Goldes, Y., Schvimer, M., Grobgeld, D., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0115783 · Cited by 30
Injury of the lower ascending reticular activating system in patients with hypoxic–ischemic brain injury: diffusion tensor imaging study
Jang, S. H., Kim, S. H., Lim, H. W., & Yeo, S. S. (2014) · Neuroradiology · doi:10.1007/s00234-014-1419-y · Cited by 30
Functional and diffusion tensor magnetic resonance imaging of the sheep brain
Lee, W., Lee, S. D., Park, M. Y., Foley, L., Purcell-Estabrook, E., Kim, H., & Yoo, S. (2015) · BMC Veterinary Research · doi:10.1186/s12917-015-0581-8 · Cited by 30
Age-Related Degeneration of the Fornix in the Human Brain: A Diffusion Tensor Imaging Study
Jang, S. H., Cho, S., & Chang, M. C. (2010) · International Journal of Neuroscience · doi:10.3109/00207454.2010.531894 · Cited by 31
Micro- and Macrostructural White Matter Integrity in Never-Treated and Currently Unmedicated Patients With Schizophrenia and Effects of Short-Term Antipsychotic Treatment
Kraguljac, N. V., Anthony, T., Skidmore, F. M., Marstrander, J., Morgan, C. J., Reid, M. A., White, D. M., Jindal, R. D., Skefos, N. H. M., & Lahti, A. C. (2019) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.01.002 · Cited by 30
Diffusion Tensor Imaging Correlates of Concussion Related Cognitive Impairment
Gonzalez, A. C., Kim, M., Keser, Z., Ibrahim, L., Singh, S. K., Ahmad, M. J., Hasan, O., Kamali, A., Hasan, K. M., & Schulz, P. E. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.639179 · Cited by 30
Second Language Learning in Older Adults: Effects on Brain Structure and Predictors of Learning Success
Nilsson, J., Berggren, R., Garzón, B., Lebedev, A. V., & Lövdén, M. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.666851 · Cited by 38
Structural and Functional Brain Remodeling during Pregnancy with Diffusion Tensor MRI and Resting-State Functional MRI
Chan, R. W., Ho, L. C., Zhou, I. Y., Gao, P. P., Chan, K. C., & Wu, E. X. (2015) · PLoS ONE · doi:10.1371/journal.pone.0144328 · Cited by 31
Current and future functional imaging techniques for post-traumatic stress disorder
Prasad, A., Chaichi, A., Kelley, D. P., Francis, J., & Gartia, M. R. (2019) · RSC Advances · doi:10.1039/c9ra03562a · Cited by 32
Traumatic brain injury or traumatic brain disease: A scientific commentary
Obasa, A. A., Olopade, F. E., Juliano, S. L., & Olopade, J. O. (2024) · Brain Multiphysics · doi:10.1016/j.brain.2024.100092 · Cited by 29
Multimodal Magnetic Resonance Imaging Study of Treatment-Naïve Adults with Attention-Deficit/Hyperactivity Disorder
Chaim, T. M., Zhang, T., Zanetti, M. V., da Silva, M. A., Louzã, M. R., Doshi, J. J., Serpa, M. H., Duran, F., Caetano, S. C., Davatzikos, C. A., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0110199 · Cited by 29
High‐Level Gait Disorder: Associations with Specific White Matter Changes Observed on Advanced Diffusion Imaging
Kafri, M., Sasson, E., Assaf, Y., Balash, Y., Aiznstein, O., Hausdorff, J. M., & Giladi, N. (2012) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2012.00734.x · Cited by 29
Self-citation
Neuroimaging, Cancer, and Cognition: State of the Knowledge
Nudelman, K. N. H., Ah, D. M. V., McDonald, B. C., & Saykin, A. J. (2013) · Seminars in Oncology Nursing · doi:10.1016/j.soncn.2013.08.008 · Cited by 29
Cerebrovascular risk factors and brain microstructural abnormalities on diffusion tensor images in HIV-infected individuals
Nakamoto, B. K., Jahanshad, N., McMurtray, A. M., Kallianpur, K. J., Chow, D. C., Valcour, V., Paul, R. H., Marotz, L., Thompson, P. M., & Shikuma, C. M. (2012) · Journal of NeuroVirology · doi:10.1007/s13365-012-0106-1 · Cited by 29
Central post-stroke pain due to injury of the spinothalamic tract in patients with cerebral infarction: a diffusion tensor tractography imaging study
Yeo, S., Jang, S.-H., & Lee, J. (2017) · Neural Regeneration Research · doi:10.4103/1673-5374.221159 · Cited by 29
Diffusion Tensor Imaging
Lenglet, C. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00291-8 · Cited by 27
Microstructure of the Dorsal Anterior Cingulum Bundle in Very Preterm Neonates Predicts the Preterm Behavioral Phenotype at 5 Years of Age
Brenner, R., Smyser, C. D., Lean, R. E., Kenley, J. K., Smyser, T. A., Cyr, P. E. P., Shimony, J. S., Barch, D. M., & Rogers, C. E. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.06.015 · Cited by 30
Effects of Prenatal Methamphetamine Exposure on the Developing Human Brain: A Systematic Review of Neuroimaging Studies
Moghaddam, H. S., Mobarakabadi, M., Dolatshahi, M., Ershadi, S. B., Abbasi-Feijani, F., Rezaei, S., Cattarinussi, G., & Aarabi, M. H. (2021) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.1c00213 · Cited by 29
Higher-order multi-shell diffusion measures complement tensor metrics and volume in gray matter when predicting age and cognition
Radhakrishnan, H., Bennett, I. J., & Stark, C. E. L. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119063 · Cited by 29
Whole-brain white matter abnormalities in human cocaine and heroin use disorders: association with craving, recency, and cumulative use
Gaudreault, P., King, S. G., Malaker, P., Alia‐Klein, N., & Goldstein, R. Z. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01833-y · Cited by 29
Aging of corticospinal tract fibers according to the cerebral origin in the human brain: A diffusion tensor imaging study
Jang, S. H., & Seo, J. P. (2014) · Neuroscience Letters · doi:10.1016/j.neulet.2014.11.030 · Cited by 29
White Matter Reorganization and Functional Response after Focal Cerebral Ischemia in the Rat
Po, C., Kalthoff, D., Kim, Y. B., Nelles, M., & Hoehn, M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0045629 · Cited by 29
Injury of the Corticospinal Tract in Patients with Mild Traumatic Brain Injury: A Diffusion Tensor Tractography Study
Jang, S. H., & Kim, S. Y. (2016) · Journal of Neurotrauma · doi:10.1089/neu.2015.4298 · Cited by 29
Identification of Amnestic Mild Cognitive Impairment Using Multi-Modal Brain Features: A Combined Structural MRI and Diffusion Tensor Imaging Study
Xie, Y., Cui, Z., Zhang, Z., Sun, Y., Sheng, C., Li, K., Gong, G., Han, Y., & Jia, J. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150184 · Cited by 30
How can neuroscience contribute to moral philosophy, psychology and education based on Aristotelian virtue ethics?
Han, H. (2016) · International Journal of Ethics Education · doi:10.1007/s40889-016-0016-9 · Cited by 31
No evidence for systematic white matter correlates of dyslexia: An Activation Likelihood Estimation meta-analysis
Moreau, D., Stonyer, J., McKay, N. S., & Waldie, K. E. (2018) · Brain Research · doi:10.1016/j.brainres.2018.01.014 · Cited by 30
Quantitative assessment of motion correction for high angular resolution diffusion imaging
Sakaie, K., & Lowe, M. J. (2009) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2009.07.004 · Cited by 28
White matter changes in microstructure associated with a maladaptive response to stress in rats
Magalhães, R. J. D. S., Bourgin, J., Boumezbeur, F., Marques, P., Bottlaender, M., Poupon, C., Djemaï, B., Duchesnay, É., Mériaux, S., Sousa, N., et al. (2017) · Translational Psychiatry · doi:10.1038/tp.2016.283 · Cited by 29
Determining Subject-Specific Lower-Limb Muscle Architecture Data for Musculoskeletal Models Using Diffusion Tensor Imaging
Charles, J. P., Moon, C., & Anderst, W. J. (2018) · Journal of Biomechanical Engineering · doi:10.1115/1.4040946 · Cited by 28
The relationship between consciousness and the ascending reticular activating system in patients with traumatic brain injury
Jang, S. H., & Kwon, Y. H. (2020) · BMC Neurology · doi:10.1186/s12883-020-01942-7 · Cited by 28
Disrupted brain connectivity in children treated with therapeutic hypothermia for neonatal encephalopathy
Spencer, A. P. C., Brooks, J. C. W., Masuda, N., Byrne, H. R., Lee‐Kelland, R., Jary, S., Thoresen, M., Tonks, J., Goodfellow, M., Cowan, F. M., et al. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102582 · Cited by 29
Multi‐parametric MRI (mpMRI) for treatment response assessment of radiation therapy
Wang, C., Padgett, K. R., Su, M., Mellon, E. A., Maziero, D., & Chang, Z. (2021) · Medical Physics · doi:10.1002/mp.15130 · Cited by 28
Disturbed Oligodendroglial Maturation Causes Cognitive Dysfunction in Schizophrenia: A New Hypothesis
Falkai, P., Rossner, M. J., Raabe, F. J., Wagner, E. M., Keeser, D., Maurus, I., Roell, L., Chang, E., Seitz‐Holland, J., Schulze, T. G., et al. (2023) · Schizophrenia Bulletin · doi:10.1093/schbul/sbad065 · Cited by 30
Diffusion tensor imaging in the study of language and aphasia
Geva, S., Correia, M., & Warburton, E. A. (2011) · Aphasiology · doi:10.1080/02687038.2010.534803 · Cited by 28
White matter microstructure of 6-year old children born preterm and full term
Dodson, C. K., Travis, K. E., Ben‐Shachar, M., & Feldman, H. M. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.08.005 · Cited by 28
Mean Diffusivity in the Dopaminergic System and Neural Differences Related to Dopaminergic System
Takeuchi, H., & Kawashima, R. (2018) · Current Neuropharmacology · doi:10.2174/1570159x15666171109124839 · Cited by 28
Diffusion tensor imaging in metachromatic leukodystrophy
van Rappard, D. F., Königs, M., Steenweg, M. E., Boelens, J. J., Oosterlaan, J., van der Knaap, M. S., Wolf, N. I., & Pouwels, P. J. W. (2018) · Journal of Neurology · doi:10.1007/s00415-018-8765-3 · Cited by 27
White matter changes in the perforant path area in patients with amyotrophic lateral sclerosis
Mollink, J., Hiemstra, M., Miller, K. L., Huszar, I. N., Jenkinson, M., Raaphorst, J., Wiesmann, M., Ansorge, O., Pallebage‐Gamarallage, M., & van Cappellen van Walsum, A. M. (2019) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12555 · Cited by 28
In vivo diffusion tensor imaging of amyloid‐β‐induced white matter damage in mice
Sun, S.-W., Liang, H.-F., Mei, J., Xu, D., & Shi, W.-X. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-130236 · Cited by 27
Mean diffusivity of basal ganglia and thalamus specifically associated with motivational states among mood states
Takeuchi, H., Taki, Y., Sekiguchi, A., Nouchi, R., Kotozaki, Y., Nakagawa, S., Miyauchi, C. M., Iizuka, K., Yokoyama, R., Shinada, T., et al. (2016) · Brain Structure and Function · doi:10.1007/s00429-016-1262-5 · Cited by 27
Effects of low-level sarin and cyclosarin exposure on hippocampal microstructure in Gulf War Veterans
Chao, L. L., & Zhang, Y. (2018) · Neurotoxicology and Teratology · doi:10.1016/j.ntt.2018.05.001 · Cited by 29
Early changes in white matter predict intellectual outcome in children treated for posterior fossa tumors
Partanen, M., Bouffet, É., Laughlin, S., Strother, D. R., Hukin, J., Skocic, J., Szulc, K. U., & Mabbott, D. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.09.005 · Cited by 27
3D virtual reconstruction and quantitative assessment of the human intervertebral disc’s annulus fibrosus: a DTI tractography study
Stein, D. J., Assaf, Y., Dar, G., Cohen, H., Slon, V., Kedar, E., Medlej, B., Abbas, J., Hay, O., Barazany, D., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-86334-8 · Cited by 27
Self-citation
A Review of the Application of Hyperbaric Oxygen Therapy in Alzheimer’s Disease
Somaa, F. A. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210157 · Cited by 26
Clustering Functional Magnetic Resonance Imaging Time Series in Glioblastoma Characterization: A Review of the Evolution, Applications, and Potentials
Simone, M. D., İaconetta, G., Palermo, G., Fiorindi, A., Schaller, K., & Maria, L. D. (2024) · Brain Sciences · doi:10.3390/brainsci14030296 · Cited by 28
Ascending reticular activating system recovery in a patient with brain injury
Jang, S. H., & Lee, H. D. (2015) · Neurology · doi:10.1212/wnl.0000000000001563 · Cited by 27
Challenges of Functional Imaging Research of Pain in Children
Sava, S., Lebel, A., Leslie, D. S., Drosos, A. M., Berde, C. B., Becerra, L. R., & Borsook, D. (2009) · Molecular Pain · doi:10.1186/1744-8069-5-30 · Cited by 26
White matter connectivity between occipital and temporal regions involved in face and voice processing in hearing and early deaf individuals
Benetti, S., Novello, L., Maffei, C., Rabini, G., Jovicich, J., & Collignon, O. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.06.044 · Cited by 30
Quantitative Analysis of Myelin and Axonal Remodeling in the Uninjured Motor Network After Stroke
Lin, Y., Daducci, A., Meskaldji, D. E., Thiran, J., Michel, P., Reto, M., Krüger, G., Menegaz, G., & Granziera, C. (2014) · Brain Connectivity · doi:10.1089/brain.2014.0245 · Cited by 26
Discriminative margin-sensitive autoencoder for collective multi-view disease analysis
Zhang, Z., Zhu, Q., Xie, G.-S., Chen, Y., Li, Z., & Wang, S. (2019) · Neural Networks · doi:10.1016/j.neunet.2019.11.013 · Cited by 26
Microstructural abnormalities in deep and superficial white matter in youths with mild traumatic brain injury
Stojanovski, S., Nazeri, A., Lepage, C., Ameis, S. H., Voineskos, A. N., & Wheeler, A. L. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.102102 · Cited by 27
Neurocognitive and psychiatric disorders‐related axonal degeneration in Parkinson’s disease
Andica, C., Kamagata, K., Hatano, T., Saito, Y., Uchida, W., Ogawa, T., Takeshige‐Amano, H., Hagiwara, A., Murata, S., Oyama, G., et al. (2020) · Journal of Neuroscience Research · doi:10.1002/jnr.24584 · Cited by 26
Extrinsic Factors Underlying Food Valuation in the Human Brain
Motoki, K., & Suzuki, S. (2020) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2020.00131 · Cited by 29
The distribution of the cortical origin of the corticoreticular pathway in the human brain: A diffusion tensor imaging study
Jang, S. H., & Seo, J. P. (2014) · Somatosensory & Motor Research · doi:10.3109/08990220.2014.917292 · Cited by 26
Diabetes Mellitus and Disturbances in Brain Connectivity: A Bidirectional Relationship?
Mansur, R. B., Cha, D. S., Woldeyohannes, H. O., Soczynska, J. K., Zugman, A., Brietzke, E. M., & McIntyre, R. S. (2014) · NeuroMolecular Medicine · doi:10.1007/s12017-014-8316-8 · Cited by 27
Function-specific Tractography of Language Pathways Based on nTMS Mapping in Patients with Supratentorial Lesions
Sollmann, N., Zhang, H., Schramm, S., Ille, S., Negwer, C., Kreiser, K., Meyer, B., & Krieg, S. M. (2018) · Clinical Neuroradiology · doi:10.1007/s00062-018-0749-2 · Cited by 26
Injury of the spinothalamic tract in a patient with mild traumatic brain injury: Diffusion tensor tractography study
Seo, J. P., & Jang, S. H. (2014) · Journal of Rehabilitation Medicine · doi:10.2340/16501977-1783 · Cited by 25
A Comparative evaluation of voxel-based spatial mapping in diffusion tensor imaging
Cabeen, R. P., Bastin, M. E., & Laidlaw, D. H. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.020 · Cited by 25
White Matter Abnormalities Based on TBSS and Its Correlation With Impulsivity Behavior of Methamphetamine Addicts
Huang, S., Yang, W., Luo, J., Yan, C., & Liu, J. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00452 · Cited by 25
Utility of quantitative susceptibility mapping and diffusion kurtosis imaging in the diagnosis of early Parkinson’s disease
Tan, S., Hartono, S., Welton, T., Ann, C. N., Lim, S. L., Koh, T. S., Li, H., Setiawan, F., Ng, S. Y., Chia, N. S. Y., et al. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102831 · Cited by 25
NeuroSmog: Determining the Impact of Air Pollution on the Developing Brain: Project Protocol
Markevych, I., Orlov, N. D., Grellier, J., Kaczmarek‐Majer, K., Lipowska, M., Sitnik‐Warchulska, K., Mysak, Y., Baumbach, C., Wierzba-Łukaszyk, M., Soomro, M. H., et al. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19010310 · Cited by 24
Neural and Behavioral Endophenotypes in ADHD
del Campo, N., Müller, U., & Sahakian, B. J. (2012) · Current topics in behavioral neurosciences · doi:10.1007/7854_2012_200 · Cited by 26
The (in)consistency of changes in brain macrostructure in male paedophiles: A combined T1-weighted and diffusion tensor imaging study
Gerwinn, H., Pohl, A., Granert, O., van Eimeren, T., Wolff, S., Jansen, O., Deuschl, G., Huchzermeier, C., Stirn, A. V., Siebner, H. R., et al. (2015) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2015.07.002 · Cited by 25
Precommissural Fornix in the Human Brain: A Diffusion Tensor Tractography Study
Yeo, S. S., Seo, J. P., Kwon, Y. H., & Jang, S. H. (2013) · Yonsei Medical Journal · doi:10.3349/ymj.2013.54.2.315 · Cited by 25
Delineation of the visual pathway in paediatric optic pathway glioma patients using probabilistic tractography, and correlations with visual acuity
Hales, P. W., Smith, V., Dhanoa-Hayre, D., O’Hare, P., Mankad, K., D’Arco, F., Cooper, J., Kaur, R., Phipps, K. P., Bowman, R. J. C., et al. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.10.010 · Cited by 25
Changes in Diffusion Metrics of the Red Nucleus in Chronic Stroke Patients With Severe Corticospinal Tract Injury: A Preliminary Study
Kim, H., Lee, H., Jung, K., Ohn, S. H., & Yoo, W. (2018) · Annals of Rehabilitation Medicine · doi:10.5535/arm.2018.42.3.396 · Cited by 25
Tinnitus and the Brain: A Review of Functional and Anatomical Magnetic Resonance Imaging Studies
Shahsavarani, S., Khan, R. A., & Husain, F. T. (2019) · Perspectives of the ASHA Special Interest Groups · doi:10.1044/2019_pers-sig6-2019-0001 · Cited by 25
White matter alterations in Williams syndrome related to behavioral and motor impairments
Nir, A., & Barak, B. (2020) · Glia · doi:10.1002/glia.23868 · Cited by 26
Role of emerging neuroimaging modalities in patients with cognitive impairment: a review from the Canadian Consensus Conference on the Diagnosis and Treatment of Dementia 2012
Burhan, A. M., Bartha, R., Bocti, C., BORRIE, M. J., Laforce, R. J., Rosa‐Neto, P., & Soucy, J. (2013) · Alzheimer s Research & Therapy · doi:10.1186/alzrt200 · Cited by 24
Damage to the Optic Radiation in Patients With Mild Traumatic Brain Injury
Jang, S. H., & Seo, J. P. (2015) · Journal of Neuro-Ophthalmology · doi:10.1097/wno.0000000000000249 · Cited by 24
Developmental process of the arcuate fasciculus from infancy to adolescence: a diffusion tensor imaging study
Son, S., Tak, H.-J., & Kim, J. (2016) · Neural Regeneration Research · doi:10.4103/1673-5374.184492 · Cited by 24

Authors: Assaf, Y., & Pasternak, O.
Affiliations: Tel Aviv University (IL)
Corresponding author: Assaf, Yaniv
ORCID: Assaf, Yaniv
Pasternak, Ofer
Venue: Journal of Molecular Neuroscience
Publisher: Springer Science and Business Media LLC
Published: 2007-09-27
Volume: 34
Issue: 1
Pages: 51-61
ISSN: 0895-8696 (ISSN-L)
1559-1166
DOI: 10.1007/s12031-007-0029-0
OpenAlex: W1997222702
Cited by: 1,537
References: 96
Citations by year: 2026: 50 · 2025: 113 · 2024: 94 · 2023: 93 · 2022: 96 · 2021: 138 · 2020: 101 · 2019: 102 · 2018: 85 · 2017: 95 · 2016: 86 · 2015: 90 · 2014: 91 · 2013: 71 · 2012: 64
FWCI: 3.82
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: Journal of Molecular Neuroscience (publishedVersion)
PubMed (publishedVersion)
ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
Topics: Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords: diffusion tensor imaging, partial volume effect, non-Gaussian diffusion, functional brain mapping, white matter integrity, multiple sclerosis, stroke, dementia, schizophrenia, brain aging
MeSH terms: Brain, Brain Diseases, Brain Mapping, Humans, Image Processing, Computer-Assisted, Nerve Fibers, Myelinated, Neural Pathways, Predictive Value of Tests, Reproducibility of Results, Artifacts, Diffusion Magnetic Resonance 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

Diffusion Tensor Imaging (DTI)-based White Matter Mapping in Brain Research: A Review

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks