Estimation of the Effective Self-Diffusion Tensor from the NMR Spin Echo

Reduced Structural Connectivity of a Major Frontolimbic Pathway in Generalized Anxiety Disorder

Tromp, D. P. M., Grupe, D. W., Oathes, D. J., McFarlin, D. R., Hernandez, P. J., Kral, T. R. A., Lee, J. E., Adams, M., Alexander, A. L., & Nitschke, J. B. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.2178 · Cited by 184

Atlas-based analysis of neurodevelopment from infancy to adulthood using diffusion tensor imaging and applications for automated abnormality detection

Faria, A. V., Zhang, J., Oishi, K., Li, X., Jiang, H., Akhter, K., Hermoye, L., Lee, S.-K., Hoon, A., & Stashinko, E. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.238 · Cited by 180

Corpus callosum damage in heavy marijuana use: preliminary evidence from diffusion tensor tractography and tract-based spatial statistics

Arnone, D., Barrick, T. R., Chengappa, S., Mackay, C. E., Clark, C. A., & Abou-Saleh, M. T. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.02.064 · Cited by 178

Flow-based fiber tracking with diffusion tensor and q-ball data: Validation and comparison to principal diffusion direction techniques

Campbell, J. S. W., Siddiqi, K., Rymar, V. V., Sadikot, A. F., & Pike, G. B. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.05.014 · Cited by 177

Exploring early human brain development with structural and physiological neuroimaging

Vasung, L., Abaci Turk, E., Ferradal, S. L., Sutin, J., Stout, J. N., Ahtam, B., Lin, P.-Y., & Grant, P. E. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.041 · Cited by 177

Fractional anisotropy and tumor cell density of the tumor core show positive correlation in diffusion tensor magnetic resonance imaging of malignant brain tumors

Kinoshita, M., Hashimoto, N., Goto, T., Kagawa, N., Kishima, H., Izumoto, S., Tanaka, H., Fujita, N., & Yoshimine, T. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.06.041 · Cited by 176

Ball and rackets: inferring fiber fanning from diffusion-weighted MRI

Sotiropoulos, S. N., Behrens, T. E. J., & Jbabdi, S. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.056 · Cited by 156

Diffusion Tensor Imaging

CASCIO, C. J., GERIG, G., & PIVEN, J. (2007) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/01.chi.0000246064.93200.e8 · Cited by 167

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

Differential relationships between apathy and depression with white matter microstructural changes and functional outcomes

Hollocks, M. J., Lawrence, A. J., Brookes, R. L., Barrick, T. R., Morris, R. G., Husain, M., & Markus, H. S. (2015) · Brain · doi:10.1093/brain/awv304 · Cited by 166

Evidence for a mechanistic model of cognitive control

Casey, B. J., Durston, S., & Fossella, J. A. (2001) · Clinical Neuroscience Research · doi:10.1016/s1566-2772(01)00013-5 · Cited by 156

Microbiota influence the development of the brain and behaviors in C57BL/6J mice

Lu, J., Synowiec, S., Lu, L., Yu, Y., Bretherick, T., Takada, S., Yarnykh, V., Caplan, J., Caplan, M., Claud, E. C., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0201829 · Cited by 159

Unraveling the secrets of white matter--bridging the gap between cellular, animal and human imaging studies

Walhovd, K. B., Johansen-Berg, H., & Káradóttir, R. T. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.06.058 · Cited by 156

Frontal white matter and cingulum diffusion tensor imaging deficits in alcoholism

Harris, G. J., Jaffin, S. K., Hodge, S. M., Kennedy, D., Caviness, V. S., Marinkovic, K., Papadimitriou, G. M., Makris, N., & Oscar‐Berman, M. (2008) · Alcoholism: Clinical and Experimental Research · doi:10.1111/j.1530-0277.2008.00661.x · Cited by 152

A diffusion tensor imaging study of white matter in obsessive–compulsive disorder

Cannistraro, P. A., Makris, N., Howard, J. D., Wedig, M. M., Hodge, S. M., Wilhelm, S., Kennedy, D. N., & Rauch, S. L. (2007) · Depression and Anxiety · doi:10.1002/da.20246 · Cited by 154

Abnormal white matter changes in Alzheimer's disease based on diffusion tensor imaging: A systematic review

Chen, Y., Wang, Y., Song, Z., Fan, Y., Gao, T., & Tang, X. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.101911 · Cited by 152

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

A validation study of multicenter diffusion tensor imaging: Reliability of fractional anisotropy and diffusivity values

Fox, R. J., Sakaie, K., Lee, J.-C., Debbins, J. P., Liu, Y., Arnold, D. L., Melhem, E. R., Smith, C. H., Philips, M. D., Lowe, M., et al. (2012) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2844 · Cited by 137

Histological validation of high-resolution DTI in human post mortem tissue

Seehaus, A., Roebroeck, A., Bastiani, M., Fonseca, L., Bratzke, H., Lori, N., Vilanova, A., Goebel, R., & Galuske, R. (2015) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2015.00098 · Cited by 149

Mean diffusivity and fractional anisotropy as indicators of disease and genetic liability to schizophrenia

Clark, K. A., Nuechterlein, K. H., Asarnow, R. F., Hamilton, L. S., Phillips, O. R., Hageman, N. S., Woods, R. P., Alger, J. R., Toga, A. W., & Narr, K. L. (2011) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2011.01.006 · Cited by 149

Diffusion tensor imaging in biomechanical studies of skeletal muscle function

VAN DONKELAAR, C. C., KRETZERS, L. J. G., BOVENDEERD, P. H. M., LATASTER, L. M. A., NICOLAY, K., JANSSEN, J. D., & DROST, M. R. (1999) · Journal of Anatomy · doi:10.1046/j.1469-7580.1999.19410079.x · Cited by 141

Mechanisms of cognitive impairment in cerebral small vessel disease: multimodal MRI results from the St George’s cognition and neuroimaging in stroke (SCANS) study

Lawrence, A. J., Patel, B., Morris, R. G., MacKinnon, A. D., Rich, P. M., Barrick, T. R., & Markus, H. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061014 · Cited by 140

In vivo definition of parieto-motor connections involved in planning of grasping movements

Koch, G., Cercignani, M., Pecchioli, C., Versace, V., Oliveri, M., Caltagirone, C., Rothwell, J., & Bozzali, M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.022 · Cited by 143

A DTI-Derived Measure of Cortico-Cortical Connectivity

Zalesky, A., & Fornito, A. (2009) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.2012113 · Cited by 141

Diagnostic utility of hippocampal size and mean diffusivity in amnestic MCI.

Müller, M. J., Greverus, D., Weibrich, C., Dellani, P. R., Scheurich, A., Stoeter, P., & Fellgiebel, A. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.01.009 · Cited by 140

Neurite orientation dispersion and density imaging in the substantia nigra in idiopathic Parkinson disease

Kamagata, K., Hatano, T., Okuzumi, A., Motoi, Y., Abe, O., Shimoji, K., Kamiya, K., Suzuki, M., Hori, M., Kumamaru, K. K., et al. (2016) · European Radiology · doi:10.1007/s00330-015-4066-8 · Cited by 135

Promise and pitfalls of g-ratio estimation with MRI

Campbell, J. S. W., Leppert, I. R., Narayanan, S., Boudreau, M., Duval, T., Cohen-Adad, J., Pike, G. B., & Stikov, N. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.038 · Cited by 129

New MRI markers for Alzheimer’s disease: a meta-analysis of diffusion tensor imaging and a comparison with medial temporal lobe measurements

Clerx, L., Visser, P. J., Verhey, F., & Aalten, P. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-110797 · Cited by 132

Validation of tractography: Comparison with manganese tracing

Knösche, T. R., Anwander, A., Liptrot, M., & Dyrby, T. B. (2015) · Human Brain Mapping · doi:10.1002/hbm.22902 · Cited by 127

Fornix microstructure correlates with recollection but not familiarity memory

Rudebeck, S. R., Scholz, J., Millington, R., Rohenkohl, G., Johansen-Berg, H., & Lee, A. C. H. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.4707-09.2009 · Cited by 121

Monitoring Disease Progression in CADASIL With Diffusion Magnetic Resonance Imaging: A Study With Whole Brain Histogram Analysis

Molko, N., Pappata, S., Mangin, J.-F., Poupon, F., LeBihan, D., Bousser, M.-G., & Chabriat, H. (2002) · Stroke · doi:10.1161/01.str.0000041681.25514.22 · Cited by 116

Frontal connections and cognitive changes in normal aging rhesus monkeys: A DTI study.

Makris, N., Papadimitriou, G. M., van der Kouwe, A., Kennedy, D. N., Hodge, S. M., Dale, A. M., Benner, T., Wald, L. L., Wu, O., Tuch, D. S., et al. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.07.005 · Cited by 115

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

Predicting conversion to dementia in mild cognitive impairment by volumetric and diffusivity measurements of the hippocampus

Fellgiebel, A., Dellani, P. R., Greverus, D., Scheurich, A., Stoeter, P., & Müller, M. J. (2006) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2006.01.006 · Cited by 118

The sensitivity of diffusion MRI to microstructural properties and experimental factors

Afzali, M., Pieciak, T., Newman, S., Garyfallidis, E., Özarslan, E., Cheng, H., & Jones, D. K. (2021) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108951 · Cited by 117

Speed of lexical decision correlates with diffusion anisotropy in left parietal and frontal white matter: Evidence from diffusion tensor imaging.

Gold, B. T., Powell, D. K., Xuan, L., Jiang, Y., & Hardy, P. A. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2007.04.011 · Cited by 115

A structural equation modeling investigation of age-related variance in executive function and DTI measured white matter damage

Charlton, R. A., Landau, S., Schiavone, F., Barrick, T. R., Clark, C. A., Markus, H. S., & Morris, R. G. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.03.017 · Cited by 113

Alterations in multiple measures of white matter integrity in normal women at high risk for Alzheimer's disease

Gold, B. T., Powell, D. K., Andersen, A. H., & Smith, C. D. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.036 · Cited by 112

Histological Validation of DW-MRI Tractography in Human Postmortem Tissue

Seehaus, A. K., Roebroeck, A., Chiry, O., Kim, D.-S., Ronen, I., Bratzke, H., Goebel, R., & Galuske, R. A. W. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs036 · Cited by 109

Damage to the cingulum contributes to Alzheimer’s disease pathophysiology by deafferentation mechanism

Bozzali, M., Giulietti, G., Basile, B., Serra, L., Spanò, B., Perri, R., Giubilei, F., Marra, C., Caltagirone, C., & Cercignani, M. (2012) · Human Brain Mapping · doi:10.1002/hbm.21287 · Cited by 107

Gray Matter Abnormalities in Idiopathic Parkinson's Disease: Evaluation by Diffusional Kurtosis Imaging and Neurite Orientation Dispersion and Density Imaging

Kamagata, K., Zalesky, A., Hatano, T., Ueda, R., Di Biase, M. A., Okuzumi, A., Shimoji, K., Hori, M., Caeyenberghs, K., Pantelis, C., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23628 · Cited by 106

Can increased spatial resolution solve the crossing fiber problem for diffusion MRI?

Schilling, K., Gao, Y., Janve, V., Stepniewska, I., Landman, B. A., & Anderson, A. W. (2017) · NMR in Biomedicine · doi:10.1002/nbm.3787 · Cited by 102

Characterizing the microstructural basis of “unidentified bright objects” in neurofibromatosis type 1: a combined in vivo multicomponent T2 relaxation and multi-shell diffusion MRI analysis

Billiet, T., Mädler, B., D'Arco, F., Peeters, R., Deprez, S., Plasschaert, E., Leemans, A., Zhang, H., den Bergh, B. V., Vandenbulcke, M., et al. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2014.04.005 · Cited by 101

Functional magnetic resonance imaging: A review of methodological aspects and clinical applications

Hennig, J., Speck, O., Koch, M. A., & Weiller, C. (2003) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.10330 · Cited by 100

A diffusion tensor MRI study of patients with MCI and AD with a 2-year clinical follow-up

Scola, E., Bozzali, M., Agosta, F., Magnani, G., Franceschi, M., Sormani, M. P., Cercignani, M., Pagani, E., Falautano, M., Filippi, M., et al. (2010) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2009.189639 · Cited by 98

Polarized light imaging of white matter architecture

Larsen, L., Griffin, L. D., GRäßel, D., Witte, O. W., & Axer, H. (2007) · Microscopy Research and Technique · doi:10.1002/jemt.20488 · Cited by 96

Diffusion tensor and magnetization transfer MRI measurements of periventricular white matter hyperintensities in old age

Bastin, M. E., Clayden, J. D., Pattie, A., Gerrish, I. F., Wardlaw, J. M., & Deary, I. J. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.05.013 · Cited by 92

Moderating registration misalignment in voxelwise comparisons of DTI data: a performance evaluation of skeleton projection

Zalesky, A. (2011) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2010.06.027 · Cited by 88

Diffusion tensor imaging study of subcortical gray matter in CADASIL

Molko, N., Pappata, S., Mangin, J. F., Poupon, C., Vahedi, K., Jobert, A., LeBihan, D., Bousser, M. G., & Chabriat, H. (2001) · Stroke · doi:10.1161/hs0901.094255 · Cited by 82

Different white matter abnormalities between the first-episode, treatment-naive patients with posttraumatic stress disorder and generalized anxiety disorder without comorbid conditions

Zhang, L., Zhang, Y., Li, L., Li, Z., Li, W., Ma, N., Hou, C., Zhang, Z., Zhang, Z., Wang, L., et al. (2011) · Journal of Affective Disorders · doi:10.1016/j.jad.2011.03.040 · Cited by 81

Diffusion MRI tractography for neurosurgery: The basics, current state, technical reliability and challenges

Yang, J. Y.-M., Yeh, C.-H., Poupon, C., & Calamante, F. (2021) · Physics in Medicine & Biology · doi:10.1088/1361-6560/ac0d90 · Cited by 80

Diffusion-weighted magnetic resonance spectroscopy enables cell-specific monitoring of astrocyte reactivity in vivo

Ligneul, C., Palombo, M., Hernández-Garzón, E., Carrillo-de Sauvage, M.-A., Flament, J., Hantraye, P., Brouillet, E., Bonvento, G., Escartin, C., & Valette, J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.02.046 · Cited by 77

White matter microstructure and the variable adult outcome of childhood attention deficit hyperactivity disorder

Shaw, P., Sudre, G., Wharton, A., Weingart, D., Sharp, W., & Sarlls, J. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2014.241 · Cited by 77

Inter-sequence and inter-imaging unit variability of diffusion tensor MR imaging histogram-derived metrics of the brain in healthy volunteers.

(2003) · PubMed Central · Cited by 76

Resolving degeneracy in diffusion MRI biophysical model parameter estimation using double diffusion encoding

Coelho, S., Pozo, J. M., Jespersen, S. N., Jones, D. K., & Frangi, A. F. (2019) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27714 · Cited by 76

Structural insights into the rodent CNS via diffusion tensor imaging.

Zhang, J., Aggarwal, M., & Mori, S. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2012.04.010 · Cited by 73

CSF contamination contributes to apparent microstructural alterations in mild cognitive impairment

Berlot, R., Metzler-Baddeley, C., Jones, D. K., & O'Sullivan, M. J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.031 · Cited by 72

Human fetal brain connectome: structural network development from middle fetal stage to birth

Song, L., Mishra, V., Ouyang, M., Peng, Q., Slinger, M., Liu, S., & Huang, H. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00561 · Cited by 71

Diffusion MRI-based cortical connectome reconstruction: dependency on tractography procedures and neuroanatomical characteristics

Sinke, M. R. T., Otte, W. M., Christiaens, D., Schmitt, O., Leemans, A., van der Toorn, A., Sarabdjitsingh, R. A., Joëls, M., & Dijkhuizen, R. M. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1628-y · Cited by 69

Fiber tractography using machine learning

Neher, P. F., Côté, M.-A., Houde, J.-C., Descoteaux, M., & Maier-Hein, K. H. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.028 · Cited by 68

White matter abnormalities associated with military PTSD in the context of blast TBI

Davenport, N. D., Lim, K. O., & Sponheim, S. R. (2015) · Human Brain Mapping · doi:10.1002/hbm.22685 · Cited by 68

Acute effects of modafinil on brain resting state networks in young healthy subjects

Esposito, R., Cilli, F., Pieramico, V., Ferretti, A., Macchia, A., Tommasi, M., Saggino, A., Ciavardelli, D., Manna, A., Navarra, R., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069224 · Cited by 66

The Biological Basis of Diffusion Anisotropy

Beaulieu, C. (2014) · Diffusion MRI · doi:10.1016/b978-0-12-396460-1.00008-1 · Cited by 66

Deficits in neurite density underlie white matter structure abnormalities in first-episode psychosis

Rae, C. L., Davies, G., Garfinkel, S. N., Gabel, M. C., Dowell, N. G., Cercignani, M., Seth, A. K., Greenwood, K. E., Medford, N., & Critchley, H. D. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.02.008 · Cited by 65

Regional heterogeneity in limbic maturational changes: Evidence from integrating cortical thickness, volumetric and diffusion tensor imaging measures

Grieve, S. M., Korgaonkar, M. S., Clark, C. R., & Williams, L. M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.087 · Cited by 64

The design of anisotropic diffusion phantoms for the validation of diffusion weighted magnetic resonance imaging

Fieremans, E., De Deene, Y., Delputte, S., Özdemir, M. S., Achten, E., & Lemahieu, I. (2008) · Physics in Medicine and Biology · doi:10.1088/0031-9155/53/19/009 · Cited by 64

Neurite orientation dispersion and density imaging color maps to characterize brain diffusion in neurologic disorders

Caverzasi, E., Papinutto, N., Castellano, A., Zhu, A. H., Scifo, P., Riva, M., Bello, L., Falini, A., Bharatha, A., & Henry, R. G. (2016) · Journal of Neuroimaging · doi:10.1111/jon.12359 · Cited by 63

NODDI reproducibility and variability with magnetic field strength: A comparison between 1.5 T and 3 T

Chung, A. W., Seunarine, K. K., & Clark, C. A. (2016) · Human Brain Mapping · doi:10.1002/hbm.23328 · Cited by 63

Neurite orientation dispersion and density imaging of the nigrostriatal pathway in Parkinson’s disease: retrograde degeneration observed by tract-profile analysis

Andica, C., Kamagata, K., Hatano, T., Okuzumi, A., Saito, A., Nakazawa, M., Ueda, R., Motoi, Y., Kamiya, K., Suzuki, M., et al. (2018) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2018.02.046 · Cited by 60

Gender Influence on White Matter Microstructure: A Tract-Based Spatial Statistics Analysis

Kanaan, R. A., Chaddock, C., Allin, M., Picchioni, M. M., Daly, E., Shergill, S. S., & McGuire, P. K. (2014) · PLoS ONE · doi:10.1371/journal.pone.0091109 · Cited by 59

White matter microstructure and developmental improvement of hyperactive/impulsive symptoms in attention‐deficit/hyperactivity disorder

Francx, W., Zwiers, M. P., Mennes, M., Oosterlaan, J., Heslenfeld, D., Hoekstra, P. J., Hartman, C. A., Franke, B., Faraone, S. V., O'Dwyer, L., et al. (2015) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12379 · Cited by 56

Disruption of neurite morphology parallels MS progression

Spanò, B., Giulietti, G., Pisani, V., Morreale, M., Tuzzi, E., Nocentini, U., Francia, A., Caltagirone, C., Bozzali, M., & Cercignani, M. (2018) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000000502 · Cited by 58

Mapping the orientation of white matter fiber bundles: a comparative study of diffusion tensor imaging, diffusional kurtosis imaging, and diffusion spectrum imaging.

Glenn, G. R., Kuo, L. W., Chao, Y. P., Lee, C. Y., Helpern, J. A., & Jensen, J. H. (2016) · American Journal of Neuroradiology · doi:10.3174/ajnr.a4714 · Cited by 58

Characterizing Microstructural Tissue Properties in Multiple Sclerosis with Diffusion MRI at 7 T and 3 T: The Impact of the Experimental Design

De Santis, S., Bastiani, M., Droby, A., Kolber, P., Zipp, F., Pracht, E., Stoecker, T., Groppa, S., & Roebroeck, A. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2018.03.048 · Cited by 56

The relationship between episodic long-term memory and white matter integrity in normal aging

Charlton, R. A., Barrick, T. R., Markus, H. S., & Morris, R. G. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.08.018 · Cited by 55

Combined diffusion-weighted and functional magnetic resonance imaging reveals a temporal-occipital network involved in auditory-visual object processing

Beer, A. L., Plank, T., Meyer, G., & Greenlee, M. W. (2013) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2013.00005 · Cited by 53

Anatomical analysis of an aye‐aye brain ( Daubentonia madagascariensis , primates: Prosimii) combining histology, structural magnetic resonance imaging, and diffusion‐tensor imaging

Kaufman, J. A., Ahrens, E. T., Laidlaw, D. H., Zhang, S., & Allman, J. M. (2005) · The Anatomical Record Part A: Discoveries in Molecular, Cellular, and Evolutionary Biology · doi:10.1002/ar.a.20264 · Cited by 54

Advancements in diffusion MRI tractography for neurosurgery

Kamagata, K., Andica, C., Uchida, W., Takabayashi, K., Saito, Y., Lukies, M., Hagiwara, A., Fujita, S., Akashi, T., Wada, A., et al. (2024) · Investigative Radiology · doi:10.1097/rli.0000000000001015 · Cited by 50

Microstructural imaging in the spinal cord and validation strategies

Cohen-Adad, J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.009 · Cited by 50

White matter abnormalities and their impact on attentional performance in adult attention-deficit/hyperactivity disorder

Konrad, A., Dielentheis, T. F., Masri, D. E., Dellani, P. R., Stoeter, P., Vucurevic, G., & Winterer, G. (2012) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-011-0251-1 · Cited by 48

White matter biomarkers from fast protocols using axially symmetric diffusion kurtosis imaging

Hansen, B., Khan, A. R., Shemesh, N., Lund, T. E., Sangill, R., Eskildsen, S. F., Østergaard, L., & Jespersen, S. N. (2017) · NMR in Biomedicine · doi:10.1002/nbm.3741 · Cited by 46

Alcohol intake and brain white matter in middle aged men: microscopic and macroscopic differences

McEvoy, L. K., Fennema-Notestine, C., Elman, J. A., Eyler, L. T., Franz, C. E., Hagler, D. J., Hatton, S. N., Lyons, M. J., Panizzon, M. S., Dale, A. M., et al. (2018) · NeuroImage: Clinical · doi:10.1016/j.nicl.2018.02.006 · Cited by 41

Complementary information from multi-exponential T2 relaxation and diffusion tensor imaging reveals differences between multiple sclerosis lesions

Kolind, S. H., Laule, C., Vavasour, I. M., Li, D. K. B., Traboulsee, A. L., Mädler, B., Moore, G. R. W., & MacKay, A. L. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.11.033 · Cited by 44

Voxel-based diffusion tensor imaging of an APP/PS1 mouse model of Alzheimer’s disease.

Shu, X., Qin, Y.-Y., Zhang, S., Jiang, J.-J., Zhang, Y., Zhao, L.-Y., Shan, D., & Zhu, W.-Z. (2013) · Molecular Neurobiology · doi:10.1007/s12035-013-8418-6 · Cited by 41

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