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
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
Tracking neuronal fiber pathways in the living human brain
Conturo, T. E., Lori, N. F., Cull, T. S., Akbudak, E., Snyder, A. Z., Shimony, J. S., McKinstry, R. C., Burton, H., & Raichle, M. E. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.18.10422 · Cited by 1,774

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

Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data
Jeurissen, B., Tournier, J.-D., Dhollander, T., Connelly, A., & Sijbers, J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.061 · Cited by 1,484
MRtrix: Diffusion tractography in crossing fiber regions
Tournier, J., Calamante, F., & Connelly, A. (2012) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.22005 · Cited by 1,370
Free water elimination and mapping from diffusion MRI
Pasternak, O., Sochen, N., Gur, Y., Intrator, N., & Assaf, Y. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22055 · Cited by 1,092
Self-citation
Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging
Jeurissen, B., Leemans, A., Tournier, J., Jones, D. K., & Sijbers, J. (2013) · Human Brain Mapping · doi:10.1002/hbm.22099 · Cited by 1,088
A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury
Shenton, M. E., Hamoda, H. M., Schneiderman, J. S., Sylvain Bouix, A., Pasternak, O., Yogesh Rathi, A., Vu, M.-A. T., Purohit, M. P., Helmer, K. G., Koerte, I. K., et al. (2012) · Brain Imaging and Behavior · doi:10.1007/s11682-012-9156-5 · Cited by 994
Self-citation
A hitchhiker's guide to diffusion tensor imaging
Soares, J. M., Marques, P., Alves, V., & Sousa, N. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00031 · Cited by 893
Meta-analysis of diffusion tensor imaging studies in schizophrenia
Ellison-Wright, I., & Bullmore, E. (2009) · Schizophrenia Research · doi:10.1016/j.schres.2008.11.021 · Cited by 715
White matter damage and cognitive impairment after traumatic brain injury
Kinnunen, K. M., Greenwood, R., Powell, J. H., Leech, R., Hawkins, P. C. T., Bonnelle, V., Patel, M. C., Counsell, S. J., & Sharp, D. J. (2010) · Brain · doi:10.1093/brain/awq347 · Cited by 685
Apparent Fibre Density: A novel measure for the analysis of diffusion-weighted magnetic resonance images
Raffelt, D., Tournier, J.-D., Rose, S., Ridgway, G., Henderson, R., Crozier, S., Salvado, O., & Connelly, A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.045 · Cited by 616
Neuroplasticity as a function of second language learning: Anatomical changes in the human brain
Li, P., Legault, J., & Litcofsky, K. A. (2014) · Cortex · doi:10.1016/j.cortex.2014.05.001 · Cited by 458
An Introduction to Diffusion Tensor Image Analysis
O’Donnell, L. J., & Westin, C. (2011) · Neurosurgery Clinics of North America · doi:10.1016/j.nec.2010.12.004 · Cited by 596
Learning in the fast lane: new insights into neuroplasticity
Sagi, Y., Tavor, I., Hofstetter, S., Tzur-Moryosef, S., Blumenfeld-Katzir, T., & Assaf, Y. (2012) · Neuron · doi:10.1016/j.neuron.2012.01.025 · Cited by 517
Self-citation
Clinical intravoxel incoherent motion and diffusion MR imaging: Past, present, and future
Iima, M., & Le Bihan, D. (2016) · Radiology · doi:10.1148/radiol.2015150244 · Cited by 498
Diffusion tensor imaging of cerebral white matter integrity in cognitive aging
Madden, D. J., Bennett, I. J., Burzynska, A. Z., Potter, G. G., Chen, N., & Song, A. W. (2011) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.08.003 · Cited by 510
Beyond the arcuate fasciculus: consensus and controversy in the connectional anatomy of language
Dick, A. S., & Tremblay, P. (2012) · Brain · doi:10.1093/brain/aws222 · Cited by 470
In vivo measurement of axon diameter distribution in the corpus callosum of rat brain
Barazany, D., Basser, P. J., & Assaf, Y. (2009) · Brain · doi:10.1093/brain/awp042 · Cited by 400
Self-citation
Measuring and manipulating brain connectivity with resting state functional connectivity magnetic resonance imaging (fcMRI) and transcranial magnetic stimulation (TMS)
Fox, M. D., Halko, M. A., Eldaief, M. C., & Pascual-Leone, A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.035 · Cited by 395
Absolute diffusivities define the landscape of white matter degeneration in Alzheimer’s disease
Acosta-Cabronero, J., Williams, G. B., Pengas, G., & Nestor, P. J. (2010) · Brain · doi:10.1093/brain/awp257 · Cited by 393
Age-related differences in white matter microstructure: Region-specific patterns of diffusivity
Burzynska, A. Z., Preuschhof, C., Bäckman, L., Nyberg, L. H., Li, S., Lindenberger, U., & Heekeren, H. R. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.041 · Cited by 400
Conserved and variable architecture of human white matter connectivity
Bassett, D., Brown, J. A., Deshpande, V., Carlson, J., & Grafton, S. T. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.006 · Cited by 380
A qualitative and quantitative review of diffusion tensor imaging studies in reading and dyslexia
Vandermosten, M., Boets, B., Wouters, J. M., & Ghesquière, P. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.04.002 · Cited by 379
Biomedical Engineering Strategies for Peripheral Nerve Repair: Surgical Applications, State of the Art, and Future Challenges
Pfister, B. J., Gordon, T., Loverde, J. R., Kochar, A., Mackinnon, S. E., & Cullen, D. K. (2011) · Critical Reviews in Biomedical Engineering · doi:10.1615/critrevbiomedeng.v39.i2.20 · Cited by 358
Q-space trajectory imaging for multidimensional diffusion MRI of the human brain
Westin, C., Knutsson, H. E., Pasternak, O., Szczepankiewicz, F., Özarslan, E., van Westen, D., Mattisson, C., Bogren, M., O’Donnell, L. J., Kubicki, M. R., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.039 · Cited by 329
Self-citation
Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment
Khalighi, S., Reddy, K. M., Midya, A., Pandav, K. B., Madabhushi, A., & Abedalthagafi, M. (2024) · npj Precision Oncology · doi:10.1038/s41698-024-00575-0 · Cited by 364
What Do We Know About Neuropsychological Aspects Of Schizophrenia?
Palmer, B. W., Dawes, S. E., & Heaton, R. K. (2009) · Neuropsychology Review · doi:10.1007/s11065-009-9109-y · Cited by 339
Hippocampal-Prefrontal Interactions in Cognition, Behavior and Psychiatric Disease
Sigurdsson, T., & Duvarci, S. (2016) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00190 · Cited by 309
White matter damage in primary progressive aphasias: a diffusion tensor tractography study
Galantucci, S., Tartaglia, M. C., Wilson, S. M., Henry, M. L., Filippi, M., Agosta, F., Dronkers, N. F., Henry, R. G., Ogar, J. M., Miller, B. L., et al. (2011) · Brain · doi:10.1093/brain/awr099 · Cited by 310
Excessive Extracellular Volume Reveals a Neurodegenerative Pattern in Schizophrenia Onset
Pasternak, O., Westin, C., Sylvain Bouix, A., Seidman, L. J., Goldstein, J. M., Woo, T.-U. W., Petryshen, T. L., Mesholam‐Gately, R. I., McCarley, R. W., Kikinis, R., et al. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.2904-12.2012 · Cited by 306
Self-citation
Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review
Zhang, F., Daducci, A., He, Y., Schiavi, S., Seguin, C., Smith, R. E., Yeh, C.-H., Zhao, T., & O’Donnell, L. J. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2021.118870 · Cited by 302
“1998-2000 [34, 111, 325, 531, 35], tractography has enabled mapping of the brain’s structural connectivity in many neurological applications such as aging, development and disease [341, 99, 14, 553, 151, 441].”
Background
Revisiting the Functional Anatomy of the Human Brain: Toward a Meta-Networking Theory of Cerebral Functions
Herbet, G., & Duffau, H. (2020) · Physiological Reviews · doi:10.1152/physrev.00033.2019 · Cited by 321
Structural neuroplasticity in the sensorimotor network of professional female ballet dancers
Hänggi, J., Koeneke, S., Bezzola, L., & Jäncke, L. (2009) · Human Brain Mapping · doi:10.1002/hbm.20928 · Cited by 294
Symmetric diffeomorphic registration of fibre orientation distributions
Raffelt, D., Tournier, J.-D., Fripp, J., Crozier, S., Connelly, A., & Salvado, O. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.014 · Cited by 281
Diffusion MRI of Structural Brain Plasticity Induced by a Learning and Memory Task
Blumenfeld‐Katzir, T., Pasternak, O., Dagan, M., & Assaf, Y. (2011) · PLoS ONE · doi:10.1371/journal.pone.0020678 · Cited by 290
Self-citation
Structural Imaging Measures of Brain Aging
Lockhart, S. N., & DeCarli, C. S. (2014) · Neuropsychology Review · doi:10.1007/s11065-014-9268-3 · Cited by 301
Evidence for Functional Networks within the Human Brain's White Matter
Peer, M., Nitzan, M., Bick, A. S., Levin, N., & Arzy, S. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3872-16.2017 · Cited by 258
Quantification of microscopic diffusion anisotropy disentangles effects of orientation dispersion from microstructure: Applications in healthy volunteers and in brain tumors
Szczepankiewicz, F., Lasič, S., van Westen, D., Sundgren, P. C., Englund, E. M., Westin, C., Ståhlberg, F., Lätt, J., Topgaard, D., & Nilsson, M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.057 · Cited by 245
White matter tractography for neurosurgical planning: A topography-based review of the current state of the art
Essayed, W. I., Zhang, F., Unadkat, P., Cosgrove, G. R., Golby, A. J., & O’Donnell, L. J. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.06.011 · Cited by 249
Mapping human brain networks with cortico-cortical evoked potentials
Keller, C. J., Honey, C. J., Mégevand, P., Entz, L., Ulbert, I., & Mehta, A. D. (2014) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0528 · Cited by 257
Microanisotropy imaging: quantification of microscopic diffusion anisotropy and orientational order parameter by diffusion MRI with magic-angle spinning of the q-vector
Lasič, S., Szczepankiewicz, F., Eriksson, S., Nilsson, M., & Topgaard, D. (2014) · Frontiers in Physics · doi:10.3389/fphy.2014.00011 · Cited by 248
Serum C-reactive protein is linked to cerebral microstructural integrity and cognitive function
Wersching, H., Duning, T., Lohmann, H., Mohammadi, S., Stehling, C., Fobker, M., Conty, M., Minnerup, J., Ringelstein, E. B., Berger, K., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181d7b45b · Cited by 234
Why diffusion tensor MRI does well only some of the time: variance and covariance of white matter tissue microstructure attributes in the living human brain
De Santis, S., Drakesmith, M., Bells, S., Assaf, Y., & Jones, D. K. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.003 · Cited by 231
Self-citation
Lesion Studies in Contemporary Neuroscience
Vaidya, A. R., Pujara, M. S., Petrides, M., Murray, E. A., & Fellows, L. K. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.05.009 · Cited by 243
A role for white matter abnormalities in the pathophysiology of bipolar disorder
Mahon, K., Burdick, K. E., & Szeszko, P. R. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.10.012 · Cited by 231
Whole brain myelin mapping using T1- and T2-weighted MR imaging data.
Ganzetti, M., Wenderoth, N., & Mantini, D. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00671 · Cited by 225
Sexual dimorphism in the human brain: evidence from neuroimaging
Sacher, J., Neumann, J., Okon-Singer, H., Gotowiec, S., & Villringer, A. (2013) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2012.06.007 · Cited by 221
Application of neurite orientation dispersion and density imaging (NODDI) to a tau pathology model of Alzheimer's disease
Colgan, N., Siow, B., O'Callaghan, J. M., Harrison, I. F., Wells, J. A., Holmes, H. E., Ismail, O., Richardson, S., Alexander, D. C., Collins, E. C., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.043 · Cited by 218
Side Matters: Diffusion Tensor Imaging Tractography in Left and Right Temporal Lobe Epilepsy
Ahmadi, M. E., Hagler, D. J., McDonald, C. R., Tecoma, E. S., Iragui, V. J., Dale, A. M., & Halgren, E. (2009) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1650 · Cited by 212
The corpus callosum in dichotic listening studies of hemispheric asymmetry: A review of clinical and experimental evidence
Westerhausen, R., & Hugdahl, K. (2008) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2008.04.005 · Cited by 198
Short-term learning induces white matter plasticity in the fornix
Hofstetter, S., Tavor, I., Tzur Moryosef, S., & Assaf, Y. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4520-12.2013 · Cited by 190
Self-citation
White matter integrity in adolescents with histories of marijuana use and binge drinking
Jacobus, J., McQueeny, T. M., Bava, S., Schweinsburg, B. C., Frank, L. R., Yang, T. T., & Tapert, S. F. (2009) · Neurotoxicology and Teratology · doi:10.1016/j.ntt.2009.07.006 · Cited by 194
The Architecture of the Golfer's Brain
Jäncke, L., Koeneke, S., Hoppe, A., Rominger, C., & Hänggi, J. (2009) · PLoS ONE · doi:10.1371/journal.pone.0004785 · Cited by 187
Oxidative stress, prefrontal cortex hypomyelination and cognitive symptoms in schizophrenia
Maas, D. A., Vallès, A., & Martens, G. J. M. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.138 · Cited by 183
Quantitative Histological Validation of Diffusion MRI Fiber Orientation Distributions in the Rat Brain
Leergaard, T. B., White, N. S., de Crespigny, A. J., Bolstad, I., D'Arceuil, H. E., Bjaalie, J. G., & Dale, A. M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0008595 · Cited by 180
Regional alterations of brain microstructure in Parkinson's disease using diffusion tensor imaging
Wang, Z., Kang, G. A., Glass, G. A., Zhang, Y., Shirley, C., Millin, R., Possin, K. L., Nezamzadeh, M., Weiner, M. W., Marks, W. J., et al. (2011) · Movement Disorders · doi:10.1002/mds.23917 · Cited by 175
Age effects and sex differences in human brain white matter of young to middle-aged adults: a DTI, NODDI, and q-space study
Kodiweera, C., Alexander, A. L., Harezlak, J., McAllister, T. W., & Wu, Y.-C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.12.033 · Cited by 179
Diffusion weighted magnetic resonance imaging and its recent trend-a survey.
Chilla, G. S. V. N., Tan, C. H., Xu, C., & Poh, C. L. (2015) · PubMed Central · doi:10.3978/j.issn.2223-4292.2015.03.01 · Cited by 173
Functional Role of the Corticoreticular Pathway in Chronic Stroke Patients
Jang, S. H., Chang, C. H., Lee, J., Kim, C. S., Seo, J. P., & Yeo, S. S. (2013) · Stroke · doi:10.1161/strokeaha.111.000269 · Cited by 176
DTI Measurements in Multiple Sclerosis: Evaluation of Brain Damage and Clinical Implications
Sbardella, E., Tona, F., Petsas, N., & Pantano, P. (2013) · Multiple Sclerosis International · doi:10.1155/2013/671730 · Cited by 172
Diffusion tensor imaging (DTI) findings in adult civilian, military, and sport-related mild traumatic brain injury (mTBI): a systematic critical review
Asken, B. M., DeKosky, S. T., Clugston, J. R., Jaffee, M. S., & Bauer, R. M. (2017) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9708-9 · Cited by 167
MR Biomarkers of Degenerative Brain Disorders Derived From Diffusion Imaging
Andica, C., Kamagata, K., Hatano, T., Saito, Y., Ogaki, K., Hattori, N., & Aoki, S. (2019) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.27019 · Cited by 175
Sleep variability in adolescence is associated with altered brain development
Telzer, E. H., Goldenberg, D., Fuligni, A. J., Lieberman, M. D., & Galván, A. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.05.007 · Cited by 171
Visual Tracking Synchronization as a Metric for Concussion Screening
Maruta, J., Suh, M., Niogi, S. N., Mukherjee, P., & Ghajar, J. (2010) · Journal of Head Trauma Rehabilitation · doi:10.1097/htr.0b013e3181e67936 · Cited by 158
Cardiorespiratory fitness is positively correlated with cerebral white matter integrity in healthy seniors
Johnson, N. F., Kim, C., Clasey, J. L., Bailey, A. L., & Gold, B. T. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.032 · Cited by 172
In vivo imaging of neuroinflammation in schizophrenia
Pasternak, O., Kubicki, M. R., & Shenton, M. E. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2015.05.034 · Cited by 156
Self-citation
The role of tissue microstructure and water exchange in biophysical modelling of diffusion in white matter
Nilsson, M., van Westen, D., Ståhlberg, F., Sundgren, P. C., & Lätt, J. (2013) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-013-0371-x · Cited by 163
The Ascending Reticular Activating System from Pontine Reticular Formation to the Thalamus in the Human Brain
Yeo, S. S., Chang, P. H., & Jang, S. H. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00416 · Cited by 162
White matter integrity and five-factor personality measures in healthy adults
Xu, J., & Potenza, M. N. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.040 · Cited by 159
In vivo correlation between axon diameter and conduction velocity in the human brain
Horowitz, A., Barazany, D., Tavor, I., Bernstein, M., Yovel, G., & Assaf, Y. (2014) · Brain Structure and Function · doi:10.1007/s00429-014-0871-0 · Cited by 154
Self-citation
Comparisons between multi-component myelin water fraction, T1w/T2w ratio, and diffusion tensor imaging measures in healthy human brain structures.
Uddin, M. N., Figley, T. D., Solar, K. G., Shatil, A. S., & Figley, C. R. (2019) · Scientific Reports · doi:10.1038/s41598-019-39199-x · Cited by 151
The cholinergic system in mild cognitive impairment and Alzheimer's disease: An in vivo MRI and DTI study
Teipel, S. J., Meindl, T., Grinberg, L. T., Grothe, M. J., Cantero, J. L., Reiser, M. F., Möller, H., Heinsen, H., & Hampel, H. J. (2010) · Human Brain Mapping · doi:10.1002/hbm.21111 · Cited by 153
Investigating white matter injury after mild traumatic brain injury
Sharp, D. J., & Ham, T. E. (2011) · Current Opinion in Neurology · doi:10.1097/wco.0b013e32834cd523 · Cited by 153
The Neurobiological Grounding of Persistent Stuttering: from Structure to Function
Neef, N. E., Anwander, A., & Friederici, A. D. (2015) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-015-0579-4 · Cited by 146
Disorganization of white matter architecture in major depressive disorder: a meta-analysis of diffusion tensor imaging with tract-based spatial statistics
Chen, G., Hu, X., Li, L., Huang, X., Lui, S., Kuang, W., Ai, H., Bi, F., Gu, Z., & Gong, Q. (2016) · Scientific Reports · doi:10.1038/srep21825 · Cited by 147
Complex Motor Learning and Police Training: Applied, Cognitive, and Clinical Perspectives
Nota, P. M. D., & Huhta, J. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01797 · Cited by 177
Reward-related processing in the human brain: developmental considerations
Fareri, D. S., Martin, L. N., & Delgado, M. R. (2008) · Development and Psychopathology · doi:10.1017/s0954579408000576 · Cited by 141
Convergent Findings of Altered Functional and Structural Brain Connectivity in Individuals with High Functioning Autism: A Multimodal MRI Study
Mueller, S., Keeser, D., Samson, A. C., Kirsch, V., Blautzik, J., Grothe, M. J., Erat, O., Hegenloh, M., Coates, U., Reiser, M. F., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067329 · Cited by 148
Reorientation of fiber orientation distributions using apodized point spread functions
Raffelt, D., Tournier, J.-D., Crozier, S., Connelly, A., & Salvado, O. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.23058 · Cited by 132
Body mass index correlates negatively with white matter integrity in the fornix and corpus callosum: A diffusion tensor imaging study
Xu, J., Yang, L., Lin, H., Sinha, R., & Potenza, M. N. (2011) · Human Brain Mapping · doi:10.1002/hbm.21491 · Cited by 138
Sub-regional hippocampal injury is associated with fornix degeneration in Alzheimer’s disease.
Lee, D. Y., Fletcher, E., Carmichael, O. T., Singh, B., Mungas, D., Reed, B., Martinez, O., Buonocore, M. H., Persianinova, M., & DeCarli, C. (2012) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2012.00001 · Cited by 137
The CONNECT project: Combining macro- and micro-structure
Assaf, Y., Alexander, D. C., Jones, D. K., Bizzi, A., Behrens, T. E. J., Clark, C. A., Cohen, Y., Dyrby, T. B., Hüppi, P. S., Knoesche, T. R., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.055 · Cited by 139
Self-citation
Diffuse white matter tract abnormalities in clinically normal ageing retired athletes with a history of sports-related concussions
Tremblay, S., Henry, L. C., Bedetti, C., Larson-Dupuis, C., Gagnon, J., Evans, A. C., Théoret, H., Lassonde, M. C., & Beaumont, L. D. (2014) · Brain · doi:10.1093/brain/awu236 · Cited by 145
Reentry: a key mechanism for integration of brain function
Edelman, G. M., & Gally, J. A. (2013) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2013.00063 · Cited by 131
Applications of Community Detection Techniques to Brain Graphs: Algorithmic Considerations and Implications for Neural Function
Garcia, J. O., Ashourvan, A., Muldoon, S. F., Vettel, J. M., & Bassett, D. S. (2018) · Proceedings of the IEEE · doi:10.1109/jproc.2017.2786710 · Cited by 132
Aerobic fitness and obesity: relationship to cerebral white matter integrity in the brain of active and sedentary older adults
Marks, B., Katz, L., Styner, M. A., & Smith, J. K. (2010) · British Journal of Sports Medicine · doi:10.1136/bjsm.2009.068114 · Cited by 142
Reduced cerebral gray matter and altered white matter in boys with D uchenne muscular dystrophy
Doorenweerd, N., Straathof, C. S. M., Dumas, E. M., Spitali, P., Ginjaar, I. B., Wokke, B. H. A., Schrans, D. G. M., van den Bergen, J. C., van Zwet, E. W., WEBB, A. G., et al. (2014) · Annals of Neurology · doi:10.1002/ana.24222 · Cited by 135
A Review of Transcranial Magnetic Stimulation and Multimodal Neuroimaging to Characterize Post-Stroke Neuroplasticity
Auriat, A. M., Neva, J. L., Peters, S., Ferris, J. K., & Boyd, L. A. (2015) · Frontiers in Neurology · doi:10.3389/fneur.2015.00226 · Cited by 143
Experience-dependent plasticity in white matter microstructure: reasoning training alters structural connectivity
Mackey, A. P., Whitaker, K. J., & Bunge, S. A. (2012) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2012.00032 · Cited by 130
Scanner invariant representations for diffusion MRI harmonization
Moyer, D., Steeg, G. V., Tax, C. M. W., & Thompson, P. M. (2020) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28243 · Cited by 131
A method for estimating intracellular sodium concentration and extracellular volume fraction in brain in vivo using sodium magnetic resonance imaging
Madelin, G., Kline, R., Walvick, R. P., & Regatte, R. R. (2014) · Scientific Reports · doi:10.1038/srep04763 · Cited by 127
White matter aging and its impact on brain function
Groh, J., & Simons, M. (2025) · Neuron · doi:10.1016/j.neuron.2024.10.019 · Cited by 124
Episodic memory function is associated with multiple measures of white matter integrity in cognitive aging
Lockhart, S. N., Mayda, A. B. V., Roach, A. E., Fletcher, E. M., Carmichael, O. T., Maillard, P., Schwarz, C. G., Yonelinas, A. P., Ranganath, C., & DeCarli, C. S. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00056 · Cited by 132
Regional pattern of white matter microstructural changes in normal aging, MCI, and AD
Lee, D. Y., Fletcher, E., Martinez, O., Ortega, M., Zozulya, N., Kim, J., Tran, J., Buonocore, M., Carmichael, O., & DeCarli, C. (2009) · Neurology · doi:10.1212/wnl.0b013e3181c33afb · Cited by 122
Typical and atypical brain development: a review of neuroimaging studies
Dennis, E. L., & Thompson, P. M. (2013) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2013.15.3/edennis · Cited by 126
Diffusion Tensor Imaging of Normal-Appearing White Matter as Biomarker for Radiation-Induced Late Delayed Cognitive Decline
Chapman, C. H., Nagesh, V., Sundgren, P. C., Buchtel, H. A., Chenevert, T. L., Junck, L., Lawrence, T. S., Tsien, C. I., & Cao, Y. (2011) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2011.01.068 · Cited by 121
Traumatic brain injury and the frontal lobes: What can we gain with diffusion tensor imaging?
Zappalà, G., de Schotten, M. T., & Eslinger, P. J. (2011) · Cortex · doi:10.1016/j.cortex.2011.06.020 · Cited by 121
Loss of Neuronal Integrity during Progressive HIV-1 Infection of Humanized Mice
Dash, P. K., Gorantla, S., Gendelman, H. E., Knibbe, J., Casale, G. P., Makarov, E., Epstein, A. A., Gelbard, H. A., Boska, M. D., & Poluektova, L. Y. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5473-10.2011 · Cited by 120
Multiple indices of diffusion identifies white matter damage in mild cognitive impairment and Alzheimer’s disease
O'Dwyer, L., Lamberton, F., Bokde, A. L. W., Ewers, M., Faluyi, Y. O., Tanner, C., Mazoyer, B., O'Neill, D., Bartley, M., Collins, D. R., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021745 · Cited by 119
The Network Modification (NeMo) Tool: Elucidating the Effect of White Matter Integrity Changes on Cortical and Subcortical Structural Connectivity
Kuceyeski, A. F., Maruta, J., Relkin, N. R., & Raj, A. (2013) · Brain Connectivity · doi:10.1089/brain.2013.0147 · Cited by 116
Relations Between Brain Alterations and Clinical Pain Measures in Chronic Musculoskeletal Pain: A Systematic Review
Coppieters, I., Meeus, M., Kregel, J., Caeyenberghs, K., Pauw, R. D., Goubert, D., & Cagnie, B. J. (2016) · Journal of Pain · doi:10.1016/j.jpain.2016.04.005 · Cited by 124
Visualizing Non-Gaussian Diffusion: Clinical Application of q-Space Imaging and Diffusional Kurtosis Imaging of the Brain and Spine
Hori, M., Fukunaga, I., Masutani, Y., Taoka, T., Kamagata, K., Suzuki, Y., & Aoki, S. (2012) · Magnetic Resonance in Medical Sciences · doi:10.2463/mrms.11.221 · Cited by 118

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