Diffusion tensor imaging in mild cognitive impairment and Alzheimerʼs disease: a review

Clinical diagnosis of Alzheimer's disease: Report of the NINCDS‐ADRDA Work Group* under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease

McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915

Mild Cognitive Impairment: Clinical Characterization and Outcome

Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980

Voxel-Based Morphometry—The Methods

Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676

Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data

Smith, S. M., Jenkinson, M., Johansen‐Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., Watkins, K. E., Ciccarelli, O., Cader, M. Z., Matthews, P. M., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.024 · Cited by 6,598

Current concepts in mild cognitive impairment

Petersen, R. C., Doody, R., Kurz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., Ritchie, K., Rossor, M., Thal, L., & Winblad, B. (2001) · Archives of Neurology · doi:10.1001/archneur.58.12.1985 · Cited by 4,781

Mild cognitive impairment

Gauthier, S. G., Reisberg, ‌., Zaudig, M., Petersen, R. C., Ritchie, K. A., Broich, K., Belleville, S., Brodaty, H., Bennett, D. A., Chertkow, H. M., et al. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68542-5 · Cited by 4,094

Fiber tracking: principles and strategies – a technical review

Mori, S., & van Zijl, P. C. M. (2002) · NMR in Biomedicine · doi:10.1002/nbm.781 · Cited by 2,019

Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain

Resnick, S. M., Pham, D. L., Kraut, M. A., Zonderman, A. B., & Davatzikos, C. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-08-03295.2003 · Cited by 1,425

Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment

Jack, C. R., Petersen, R. C., Xu, Y. C., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Waring, S. C., Tangalos, E. G., & Kokmen, E. (1999) · Neurology · doi:10.1212/wnl.52.7.1397 · Cited by 1,404

A Quantitative Magnetic Resonance Imaging Study of Changes in Brain Morphology From Infancy to Late Adulthood

Pfefferbaum, A., Mathalon, D. H., Sullivan, E. V., Rawles, J. M., Zipursky, R. B., & Lim, K. O. (1994) · Archives of Neurology · doi:10.1001/archneur.1994.00540210046012 · Cited by 1,363

Relationship Between Risk Factors and Brain Reserve in Late Middle Age: Implications for Cognitive Aging

Neth, B. J., Graff‐Radford, J., Mielke, M. M., Przybelski, S. A., Lesnick, T. G., Schwarz, C. G., Reid, R. I., Senjem, M. L., Lowe, V. J., Machulda, M. M., et al. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00355 · Cited by 48

Multi-Modal MRI Analysis with Disease-Specific Spatial Filtering: Initial Testing to Predict Mild Cognitive Impairment Patients Who Convert to Alzheimer?s Disease

Oishi, K., Akhter, K., Mielke, M. M., Ceritoglu, C., Zhang, J., Jiang, H., Li, X., Laurent Younes, B., Miller, M. I., van Zijl, P. C. M., et al. (2011) · Frontiers in Neurology · doi:10.3389/fneur.2011.00054 · Cited by 44

High-Definition Transcranial Direct Current Stimulation Improves Delayed Memory in Alzheimer’s Disease Patients: A Pilot Study Using Computational Modeling to Optimize Electrode Position

Rasmussen, I. D., Boayue, N. M., Mittner, M., Bystad, M., Grønli, O. K., Vangberg, T. R., Csifcsák, G., & Aslaksen, P. M. (2021) · Journal of Alzheimer's Disease · doi:10.3233/jad-210378 · Cited by 42

Micro-structural white matter abnormalities in type 2 diabetic patients: a DTI study using TBSS analysis

Tan, X. L., Fang, P., An, J., Lin, H., Liang, Y., Shen, W., Leng, X., Zhang, C., Zheng, Y., & Qiu, S. (2016) · Neuroradiology · doi:10.1007/s00234-016-1752-4 · Cited by 42

Neuroinflammation in Neurodegenerative Diseases: Current Multi-modal Imaging Studies and Future Opportunities for Hybrid PET/MRI

Aiello, M., Cavaliere, C., Fiorenza, D., Duggento, A., Passamonti, L., & Toschi, N. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2018.07.033 · Cited by 42

Regional Differences in White Matter Breakdown Between Frontotemporal Dementia and Early-Onset Alzheimer's Disease1

Lu, P. H., Lee, G. J., Shapira, J. S., Jimenez, E. E., Mather, M. J., Thompson, P. M., Bartzokis, G., & Mendez, M. F. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-131481 · Cited by 41

Inhibition in early Alzheimer's disease: An fMRI-based study of effective connectivity

Rytsar, R., Fornari, E., Frackowiak, R. S. J., Ghika, J. A., & Knyazeva, M. G. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.029 · Cited by 40

Bridging the Gap Between Fluid Biomarkers for Alzheimer’s Disease, Model Systems, and Patients

Bjorkli, C., Sandvig, A., & Sandvig, I. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00272 · Cited by 41

Multimodal Imaging in Diagnosis of Alzheimer's Disease and Amnestic Mild Cognitive Impairment: Value of Magnetic Resonance Spectroscopy, Perfusion, and Diffusion Tensor Imaging of the Posterior Cingulate Region

Zimny, A., Szewczyk, P., Trypka, E., Wojtynska, R., Noga, L., Leszek, J., & Sąsiadek, M. J. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-110254 · Cited by 41

Cooccurrence of vascular risk factors and late-life white-matter integrity changes

Maillard, P., Carmichael, O. T., Reed, B., Mungas, D., & DeCarli, C. S. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.01.007 · Cited by 41

Spatial Distribution of Cerebral White Matter Lesions Predicts Progression to Mild Cognitive Impairment and Dementia

Mortamais, M., Reynès, C., Brickman, A. M., Provenzano, F. A., Muraskin, J., Portet, F., Berr, C., Touchon, J., Bonafé, A., Bars, E. L., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056972 · Cited by 41

White Matter Microstructure and Apathy Level in Amnestic Mild Cognitive Impairment

Cacciari, C., Moraschi, M., Paola, M. D., Cherubini, A., Orfei, M. D., Giove, F., Maraviglia, B., Caltagirone, C., & Spalletta, G. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-1384 · Cited by 40

Prediction of Conversion From Amnestic Mild Cognitive Impairment to Alzheimer's Disease Based on the Brain Structural Connectome

Sun, Y., Bi, Q., Wang, X., Hu, X., Li, H., Li, X., Ma, T., Lu, J., Chan, P., Shu, N., et al. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2018.01178 · Cited by 40

Using Diffusion Tensor Imaging and Mixed-Effects Models to Investigate Primary and Secondary White Matter Degeneration in Alzheimer's Disease and Mild Cognitive Impairment

O’Dwyer, L., Lamberton, F., Bokde, A. L. W., Ewers, M., Faluyi, Y. O., Tanner, C. J., Mazoyer, B. M., O’Neill, D. J., Bartley, M. M., Collins, R., et al. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-110137 · Cited by 37

Multilevel Deficiency of White Matter Connectivity Networks in Alzheimer’s Disease: A Diffusion MRI Study with DTI and HARDI Models

Wang, T., Shi, F., Jin, Y., Yap, P., Chong-yaw Wee, A., Zhang, J., Yang, C., Li, X., Xiao, S., & Shen, D. G. (2016) · Neural Plasticity · doi:10.1155/2016/2947136 · Cited by 39

Correlates of virtual navigation performance in older adults

Korthauer, L. E., Nowak, N. T., Moffat, S. D., An, Y., Rowland, L. M., Barker, P. B., Resnick, S. M., & Driscoll, I. F. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.12.003 · Cited by 38

Multiparametric graph theoretical analysis reveals altered structural and functional network topology in Alzheimer's disease

Lin, S.-Y., Lin, C., Hsieh, T.-J., Lin, C.-F., Chen, S.-H., Chao, Y., Chen, Y., Hsu, C.-C., & Kuo, L. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101680 · Cited by 37

Non-linear association between cerebral amyloid deposition and white matter microstructure in cognitively healthy older adults

Wolf, D., 1, A. F. A. F. T. A. D. N. I., Fischer, F. U., Scheurich, A., & Fellgiebel, A. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-150049 · Cited by 35

Imaging Epigenetics in Alzheimer’s Disease

Lista, S., Garaci, F. G., Toschi, N., & Hampel, H. J. (2013) · Current Pharmaceutical Design · doi:10.2174/13816128113199990370 · Cited by 36

Using Structural and Diffusion Magnetic Resonance Imaging To Differentiate the Dementias

Suri, S., Topiwala, A., Mackay, C. E., Ebmeier, K. P., & Filippini, N. (2014) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-014-0475-3 · Cited by 35

Feature selection improves the accuracy of classifying Alzheimer disease using diffusion tensor images

Demi̇rhan, A., Nir, T. M., Zavaliangos‐Petropulu, A., Jack, C. R., Weiner, M. W., Bernstein, M. A., Thompson, P. M., & Jahanshad, N. (2015) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2015.7163832 · Cited by 39

Simultaneous changes in gray matter volume and white matter fractional anisotropy in Alzheimer’s disease revealed by multimodal CCA and joint ICA

Ouyang, X., Chen, K., Yao, L., Hu, B., Wu, X., Ye, Q., & Guo, X. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.06.031 · Cited by 35

Combination of voxel based morphometry and diffusion tensor imaging in patients with Alzheimer's disease.

Ibrahim, I., Horáček, J., Bartoš, A., Hájek, M., Řı́pová, D., Brunovský, M., & Tintěra, J. (2009) · PubMed · Cited by 35

Serum cholesterol and variant in cholesterol-related gene CETP predict white matter microstructure

Warstadt, N. M., Dennis, E. L., Jahanshad, N., Omid Kohannim, A., Nir, T. M., McMahon, K. L., de Zubicaray, G. I., Montgomery, G. W., Henders, A. K., Martin, N. G., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.05.024 · Cited by 34

Scoping Review of Neuroimaging Studies Investigating Frailty and Frailty Components

López‐Sanz, D., Suárez‐Méndez, I., Bernabé, R., Pasquín, N., Rodríguez‐Mañas, L., Maestú, F., & Walter, S. (2018) · Frontiers in Medicine · doi:10.3389/fmed.2018.00284 · Cited by 34

Acute cognitive impairment after traumatic brain injury predicts the occurrence of brain atrophy patterns similar to those observed in Alzheimer’s disease

Rostowsky, K. A., Andrei Irimia, A., & Initiative, A. D. N. (2021) · GeroScience · doi:10.1007/s11357-021-00355-9 · Cited by 50

Neuroimaging of Traumatic Brain Injury

Dubroff, J. G., & Newberg, A. B. (2008) · Seminars in Neurology · doi:10.1055/s-0028-1083698 · Cited by 33

White matter hyperintensity microstructure in amyloid dysmetabolism

Kalheim, L. F., Bjørnerud, A., Fladby, T., Vegge, K., & Selnes, P. (2016) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x15627465 · Cited by 35

The disconnection syndrome in the Alzheimer’s disease: The cross-modal priming example

Vallet, G. T., Hudon, C., Simard, M., & Versace, R. (2012) · Cortex · doi:10.1016/j.cortex.2012.10.010 · Cited by 32

Decreased White Matter Integrity in Neuropsychologically Defined Mild Cognitive Impairment Is Independent of Cortical Thinning

Stricker, N. H., Salat, D. H., Foley, J. M., Zink, T. A., Kellison, I. L., McFarland, C. P., Grande, L. J., McGlinchey, R. E., Milberg, W., & Leritz, E. C. (2013) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617713000660 · Cited by 33

Coevolution of brain structures in amnestic mild cognitive impairment

Carmichael, O. T., McLaren, D. G., Tommet, D., Mungas, D., & Jones, R. N. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.029 · Cited by 31

Reduced interhemispheric inhibition in mild cognitive impairment

Tsutsumi, R., Hanajima, R., Hamada, M., Shirota, Y., Matsumoto, H., Terao, Y., Ohminami, S., Yamakawa, Y., Shimada, H., Tsuji, S., et al. (2012) · Experimental Brain Research · doi:10.1007/s00221-011-2997-0 · Cited by 32

Microstructural Injury to Left-Sided Perisylvian White Matter Predicts Language Decline After Brain Radiation Therapy

Tibbs, M. D., Huynh‐Le, M., Karunamuni, R. A., Reyes, A., Macari, A. C., Tringale, K. R., Salans, M. A., Yip, A. T., Liu, E. Y., Simon, A. B., et al. (2020) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2020.07.032 · Cited by 31

Tacrolimus Protects against Age-Associated Microstructural Changes in the Beagle Brain

Radhakrishnan, H., Ubele, M. F., Krumholz, S. M., Boaz, K., Mefford, J. L., Jones, E. D., Meacham, B., Smiley, J. R., Puskás, L. G., Powell, D. K., et al. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0361-21.2021 · Cited by 28

Diffusion tensor imaging in Alzheimer’s disease and affective disorders

Teipel, S. J., Walter, M., Likitjaroen, Y., Schönknecht, P., & Gruber, O. (2014) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-014-0496-6 · Cited by 30

Default mode network integrity changes contribute to cognitive deficits in subcortical vascular cognitive impairment, no dementia

Qin, Q., Tang, Y., Dou, X., Qu, Y., Xing, Y., Yang, J., Chu, T., Liu, Y., & Jia, J. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00252-y · Cited by 28

Frontal-executive and corticolimbic structural brain circuitry in older people with remitted depression, mild cognitive impairment, Alzheimer’s dementia, and normal cognition

Rashidi‐Ranjbar, N., Rajji, T. K., Kumar, S., Herrmann, N., Mah, L., Flint, A. J., Fischer, C. E., Butters, M. A., Pollock, B. G., Dickie, E. W., et al. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-0715-y · Cited by 31

Differential effects of CB1 receptor agonism in behavioural tests of unconditioned and conditioned fear in adult male rats

Simone, J. J., Green, M. R., Hodges, T. E., & McCormick, C. M. (2014) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.11.012 · Cited by 30

White Matter Abnormalities and Structural Hippocampal Disconnections in Amnestic Mild Cognitive Impairment and Alzheimer’s Disease

Rowley, J., Fonov, V., Wu, O., Eskildsen, S. F., Schoemaker, D., Wu, L., Mohades, S., Shin, M., Sziklas, V., Cheewakriengkrai, L., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074776 · Cited by 27

Accelerating Structural Degeneration in Temporal Regions and Their Effects on Cognition in Aging of MCI Patients

Li, X., Xia, J., Ma, C., Chen, K., Xu, K., Zhang, J., Chen, Y., Li, H., Wei, D., & Zhang, Z. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz090 · Cited by 27

Age-related differences in the topological efficiency of the brain structural connectome in amnestic mild cognitive impairment

Zhao, T., Sheng, C., Bi, Q., Niu, W., Shu, N., & Han, Y. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.08.005 · Cited by 27

Regional Amyloid-β Load and White Matter Abnormalities Contribute to Hypometabolism in Alzheimer’s Dementia

Initiative, A. D. N., Schilling, L. P., Pascoal, T. A., Zimmer, E. R., Mathotaarachchi, S. S., Shin, M., Rieder, C. R. D. M., Gauthier, S. G., Palmini, A., & Rosa‐Neto, P. (2018) · Molecular Neurobiology · doi:10.1007/s12035-018-1405-1 · Cited by 25

In search of multimodal brain alterations in Alzheimer's and Binswanger's disease

Fu, Z., Iraji, A., Caprihan, A., Adair, J. C., Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Rosenberg, G. A., & Calhoun, V. D. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101937 · Cited by 25

Modeling the life cycle of the human brain

Budday, S., & Ellen Kuhl, A. (2020) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2019.12.009 · Cited by 24

Fascicle- and Glucose-Specific Deterioration in White Matter Energy Supply in Alzheimer’s Disease

Roy, M., Rheault, F., Croteau, É., Castellano, C., Fortier, M., St‐Pierre, V., Houde, J., Turcotte, É. E., Bocti, C., Fülöp, T., et al. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200213 · Cited by 23

Corpus callosum integrity loss predicts cognitive impairment in Leukoaraiosis

Wang, Z., Bai, L., Liu, Q., Wang, S., Sun, C., Zhang, M., & Zhang, Y. (2020) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51231 · Cited by 23

Disrupted Network Topology Contributed to Spatial Navigation Impairment in Patients With Mild Cognitive Impairment

Li, W., Zhao, H., Zhao, Q., Nedelská, Z., Wu, S., Lu, J., Wu, W., Yin, Z., Hort, J., Xu, Y., et al. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.630677 · Cited by 24

Altered Structural and Functional MRI Connectivity in Type 2 Diabetes Mellitus Related Cognitive Impairment: A Review

Lei, H., Hu, R., Luo, G., Yang, T., Shen, H., Deng, H., Chen, C., Zhao, H., & Liu, J. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.755017 · Cited by 24

Clinical Applications of Diffusion Tensor Imaging

Huston, J. M., & Field, A. S. (2013) · Magnetic Resonance Imaging Clinics of North America · doi:10.1016/j.mric.2012.12.003 · Cited by 26

Detection of early changes in the parahippocampal and posterior cingulum bundles during mild cognitive impairment by using high-resolution multi-parametric diffusion tensor imaging

Ito, K., Sasaki, M., Takahashi, J., Uwano, I., Yamashita, F., Higuchi, S., Goodwin, J., Harada, T., Kudo, K., & Terayama, Y. (2015) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2015.01.020 · Cited by 26

Mild Cognitive Impairment is Associated With White Matter Integrity Changes in Late-Myelinating Regions Within the Corpus Callosum

Stricker, N. H., Salat, D. H., Kuhn, T. P., Foley, J. M., Price, J. S., Westlye, L. T., Esterman, M. S., McGlinchey, R. E., Milberg, W., & Leritz, E. C. (2015) · American Journal of Alzheimer s Disease & Other Dementias® · doi:10.1177/1533317515578257 · Cited by 23

Relationship among diffusion tensor imaging, EEG activity, and cognitive status in mild cognitive impairment and Alzheimer’s disease patients

Scrascia, F., Curcio, G., Ursini, F., Trotta, L., Quintiliani, L., Migliore, S., Altamura, C., Pitocco, F., Altavilla, R., Melgari, J.-M., et al. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-130788 · Cited by 22

Serum Insulin-Like Growth Factor-1 in Parkinson's Disease; Study of Cerebrospinal Fluid Biomarkers and White Matter Microstructure

Sherbaf, F. G., Mohajer, B., Ashraf‐Ganjouei, A., Zadeh, M. M., Javinani, A., Moghaddam, H. S., Shandiz, M. S., & Aarabi, M. H. (2018) · Frontiers in Endocrinology · doi:10.3389/fendo.2018.00608 · Cited by 21

Mitochondrial dysfunction: A potential target for Alzheimer’s disease intervention and treatment

Ke, J., Tian, Q., Xu, Q., Fu, Z., & Fu, Q. (2021) · Drug Discovery Today · doi:10.1016/j.drudis.2021.04.025 · Cited by 23

Therapeutic Inhalation of Hydrogen Gas for Alzheimer’s Disease Patients and Subsequent Long-Term Follow-Up as a Disease-Modifying Treatment: An Open Label Pilot Study

Ono, H., Nishijima, Y., & Ohta, S. (2023) · Pharmaceuticals · doi:10.3390/ph16030434 · Cited by 21

Usefulness of visual evaluation of the anterior thalamic radiation by diffusion tensor tractography for differentiating between Alzheimer’s disease and elderly major depressive disorder patients

Niida, A., Kuniyoshi, Motomura, Uechi, & Niida (2013) · International Journal of General Medicine · doi:10.2147/ijgm.s42953 · Cited by 21

ADC Histograms from Routine DWI for Longitudinal Studies in Cerebral Small Vessel Disease: A Field Study in CADASIL

Gunda, B. B., Porcher, R., Duering, M., Guichard, J., Mawet, J., Jouvent, É., Dichgans, M., & Chabriat, H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0097173 · Cited by 21

Callosal microstructural abnormalities in Alzheimer's disease and alcoholism: same phenotype, different mechanisms

Pitel, A., Chanraud, S., Sullivan, E. V., & Pfefferbaum, A. (2010) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2010.07.006 · Cited by 21

Diffusion Tensor Imaging in the Study of Aging and Age-Associated Neural Disease

Salat, D. H. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-396460-1.00012-3 · Cited by 21

Age-related differences in white matter microstructure measured by advanced diffusion MRI in healthy older adults at risk for Alzheimer’s disease

Motovylyak, A., Vogt, N. M., Adluru, N., Ma, Y., Wang, R., Oh, J. M., Kecskemeti, S., Alexander, A. L., Dean, D., Gallagher, C. L., et al. (2022) · Aging Brain · doi:10.1016/j.nbas.2022.100030 · Cited by 23

Automated Discrimination of Brain Pathological State Attending to Complex Structural Brain Network Properties: The Shiverer Mutant Mouse Case

Iturria‐Medina, Y., Fernández, A. P., Hernández, P. V., García‐Pentón, L., Canales-Rodríguez, E. J., Melie‐García, L., Lage‐Castellanos, A., & Ontivero-Ortega, M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0019071 · Cited by 20

Early Detection of Alzheimer’s Disease Using Deep Learning

McCrackin, L. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-89656-4_40 · Cited by 19

Feature selective temporal prediction of Alzheimer's disease progression using hippocampus surface morphometry

Tsao, S., Gajawelli, N., Zhou, J., Shi, J., Ye, J., Wang, Y., & Leporé, N. (2017) · Brain and Behavior · doi:10.1002/brb3.733 · Cited by 18

DTI in Development and Aging

Salat, D. H., Lee, S. Y., Yu, P., Setty, B. N., Rosas, H. D., & Grant, P. E. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374709-9.00010-9 · Cited by 18

Different Scales of Cortical Organization are Selectively Targeted in the Progression to Alzheimer’s Disease

Romero-García, R., Atienza, M., & Cantero, J. L. (2015) · International Journal of Neural Systems · doi:10.1142/s0129065716500039 · Cited by 17

Differential White Matter Connectivity in Early Mild Cognitive Impairment According to CSF Biomarkers

Lim, J., Park, Y. H., Jang, J., Park, S. Y., Kim, S., & Initiative, A. D. N. (2014) · PLoS ONE · doi:10.1371/journal.pone.0091400 · Cited by 17

Diagnostic Utility of Cerebral White Matter Integrity in Early Alzheimer's Disease

Johnson, D. K., Barrow, W., Anderson, R. E., Harsha, A., Honea, R. A., Brooks, W. M., & Burns, J. M. (2010) · International Journal of Neuroscience · doi:10.3109/00207454.2010.494788 · Cited by 19

Regional Neuronal Network Failure and Cognition in Late-Onset Sporadic Alzheimer Disease

Carter, S., Embleton, K., Anton-Rodriguez, J., Burns, A., Ralph, M. L., & Herholz, K. (2014) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3895 · Cited by 17

Surface‐based vertexwise analysis of morphometry and microstructural integrity for white matter tracts in diffusion tensor imaging: With application to the corpus callosum in Alzheimer's disease

Tang, X., Qin, Y., Zhu, W., & Miller, M. I. (2017) · Human Brain Mapping · doi:10.1002/hbm.23491 · Cited by 19

Unimodal and crossmodal working memory binding is not differentially affected by age or Alzheimer’s disease.

Guazzo, F., Allen, R. J., Baddeley, A., & Sala, S. D. (2020) · Neuropsychology · doi:10.1037/neu0000622 · Cited by 17

Bilingualism, cognitive reserve and Alzheimer’s disease

Gold, B. T. (2017) · Studies in bilingualism · doi:10.1075/sibil.53.09gol · Cited by 16

Analysis of longitudinal diffusion-weighted images in healthy and pathological aging: An ADNI study

Kruggel, F., Masaki, F., & Solodkin, A. (2017) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2016.12.020 · Cited by 16

Linking white matter tracts to associated cortical grey matter: A tract extension methodology

Tozer, D. J., Chard, D., Bodini, B., Ciccarelli, O., Miller, D., Thompson, A. J., & Wheeler‐Kingshott, C. A. M. G. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.088 · Cited by 15

Alterations in white matter integrity in first-episode, treatment-naive patients with somatization disorder

Zhang, J., Jiang, M., Yao, D., Dai, Y., Long, L., Yu, M., Liu, J., Zhang, Z., Xiao, C., & Guo, W. (2015) · Neuroscience Letters · doi:10.1016/j.neulet.2015.05.037 · Cited by 15

White matter structural integrity and transcranial Doppler blood flow pulsatility in normal aging

Fleysher, R., Lipton, M. L., Noskin, O., Rundek, T., Lipton, R. B., & Derby, C. A. (2017) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2017.11.003 · Cited by 15

DTI studies in patients with Alzheimer’s disease, mild cognitive impairment, or normal cognition with evaluation of the intrinsic background gradients

Jahng, G.-H., Xu, S., Weiner, M. W., Meyerhoff, D. J., Park, S., & Schuff, N. (2011) · Neuroradiology · doi:10.1007/s00234-011-0845-3 · Cited by 21

Difference in distribution functions: A new diffusion weighted imaging metric for estimating white matter integrity

Du, J., Koch, F. C., Xia, A., Jiang, J., Crawford, J. D., Lam, B. C. P., Thalamuthu, A., Lee, T., Kochan, N. A., Fawns‐Ritchie, C., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118381 · Cited by 15

Tractography of the uncinate fasciculus and the posterior cingulate fasciculus in patients with mild cognitive impairment and Alzheimer disease

Larroza, A., Moratal, D., Alcañiz, V. D. O., & Arana, E. (2013) · Neurología (English Edition) · doi:10.1016/j.nrleng.2013.11.007 · Cited by 14

Anti-Amyloid-β-Mediated Positron Emission Tomography Imaging in Alzheimer's Disease Mouse Brains

McLean, D., Cooke, M. J., Wang, Y., Green, D., Fraser, P. E., George‐Hyslop, P. S., & Shoichet, M. S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051958 · Cited by 14

Effectiveness of an Individualized Exergame-Based Motor-Cognitive Training Concept Targeted to Improve Cognitive Functioning in Older Adults With Mild Neurocognitive Disorder: Study Protocol for a Randomized Controlled Trial

Manser, P., Michels, L., Schmidt, A., Barinka, F., & de Bruin, E. D. (2023) · JMIR Research Protocols · doi:10.2196/41173 · Cited by 14

White Matter Plasticity Underpins Cognitive Gains After Multidomain Adaptive Computerized Cognitive Training

Dai, X.-W., Liu, S., Li, Y., Long, S., Li, X., Chen, C., Yang, C., Zhang, J., Han, Z. R., He, L., et al. (2024) · The Journals of Gerontology Series A · doi:10.1093/gerona/glae046 · Cited by 13

Tractografía del fascículo uncinado y el fascículo uncinado posterior en pacientes con deterioro cognitivo leve y enfermedad de Alzheimer

Larroza, A., Moratal, D., Alcañiz, V. D. O., & Arana, E. (2013) · Neurología · doi:10.1016/j.nrl.2013.02.002 · Cited by 13

Predicting cognitive dysfunction and regional hubs using Braak staging amyloid-beta biomarkers and machine learning

Bhattarai, P., Taha, A., Soni, B., Thakuri, D. S., Ritter, E., & Chand, G. B. (2023) · Brain Informatics · doi:10.1186/s40708-023-00213-8 · Cited by 10

Differences in early and late mild cognitive impairment tractography using a diffusion tensor MRI

Lee, S.-H., Seo, J., Lee, J. M., & Park, H. (2014) · Neuroreport · doi:10.1097/wnr.0000000000000279 · Cited by 13

Recent Developments in Diffusion Tensor Imaging of Brain

Parekh, M. B., Gurjarpadhye, A. A., Manoukian, M. A. C., Dubņika, A., Rajadas, J., & Inayathullah, M. (2016) · Radiology - Open Journal · doi:10.17140/roj-1-101 · Cited by 12

Altered brain activity and cognitive impairment in patients with psoriasis

Yi, X., Wang, X., Fu, Y. H. H., Luo, Y., Wang, J., Han, Z., Kuang, Y., Chen, X., & Chen, B. T. (2023) · Journal of the European Academy of Dermatology and Venereology · doi:10.1111/jdv.19685 · Cited by 13

The mean diffusivity of forceps minor is useful to distinguish amnestic mild cognitive impairment from mild cognitive impairment caused by cerebral small vessel disease

Zhang, Y., Lü, L., Feng, M., Dong, L., Qin, Y., Su, H., Zhou, Z., Dai, H., & Wang, Y. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.1010076 · Cited by 13

Discriminative patterns of white matter changes in Alzheimer's

Srivishagan, S., Kumaralingam, L., Thanikasalam, K., Pinidiyaarachchi, U. A. J., & Ratnarajah, N. (2022) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2022.111576 · Cited by 12

Diffusion tensor imaging for Alzheimer's disease: A review of concepts and potential clinical applicability

Vasconcelos, L. D. G., Brucki, S. M. D., Jackowski, A. P., & Bueno, O. F. A. (2009) · Dementia & Neuropsychologia · doi:10.1590/s1980-57642009dn30400002 · Cited by 12

Quantitative Evaluation of Changes in the Selected White Matter Tracts Using Diffusion Tensor Imaging in Patients with Alzheimer's Disease and Mild Cognitive Impairment

Zimny, A., Szewczyk, P., Bladowska, J., Trypka, E., Wojtynska, R., Leszek, J., & Sąsiadek, M. J. (2012) · The Neuroradiology Journal · doi:10.1177/197140091202500304 · Cited by 12

Diagnostic Value of Diffusion Tensor Imaging and Positron Emission Tomography in Early Stages of Frontotemporal Dementia

Krämer, J., Lueg, G., Schiffler, P., Vrachimis, A., Weckesser, M., Wenning, C., Pawlowski, M., Johnen, A., Teuber, A., Wersching, H., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-170224 · Cited by 11

Altered Homotopic Functional Connectivity Within White Matter in the Early Stages of Alzheimer’s Disease

Wang, P., Wang, Z., Wang, J., Jiang, Y., Zhang, H., Li, H., & Biswal, B. B. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.697493 · Cited by 11

Lifelong bilingualism, cognitive reserve and Alzheimer’s disease

Gold, B. T. (2016) · Linguistic Approaches to Bilingualism · doi:10.1075/lab.14028.gol · Cited by 11

Microstructural White Matter Abnormalities Independent of White Matter Lesion Burden in Amnestic Mild Cognitive Impairment and Early Alzheimer Disease Among Han Chinese Elderly

Liao, J., Zhu, Y., Zhang, M., Yuan, H., Su, M., Yu, X., & Wang, H. (2010) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e3181df1c7b · Cited by 10

Searching for Novel Biomarkers Using High Resolution Diffusion Tensor Imaging

Yassa, M. A. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-0005 · Cited by 10

Proteomics based identification of differential plasma proteins and changes in white matter integrity as markers in early detection of mild cognitive impaired subjects at high risk of Alzheimer’s disease

Kumar, A., Sıngh, S., Verma, A. K., & Mishra, V. N. (2018) · Neuroscience Letters · doi:10.1016/j.neulet.2018.04.015 · Cited by 10

Measuring the Effects of Scalar and Spherical Colormaps on Ensembles of DMRI Tubes

Chen, J., Zhang, G., Chiou, W., Laidlaw, D. H., & Auchus, A. P. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2898438 · Cited by 10

Diffusion tensor imaging analysis of rheumatoid arthritis patients with neuropsychiatric features to determine the alteration of white matter integrity due to vascular events

Phukan, P., Barman, B., CHENGAPPA, N. K., Lynser, D., Paul, S., Nune, A., & Sarma, K. (2022) · Clinical Rheumatology · doi:10.1007/s10067-022-06262-4 · Cited by 10

Could Iron Accumulation Be an Etiology of the White Matter Change in Alzheimer’s Disease: Using Phase Imaging to Detect White Matter Iron Deposition Based on Diffusion Tensor Imaging

Ling, H., Ding, B., Wang, T., Zhang, H., & Chen, K. (2011) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000327167 · Cited by 9

Cognitively supernormal older adults maintain a unique structural connectome that is resistant to Alzheimer’s pathology

Chen, Q., Baran, T. M., Rooks, B., O’Banion, M. K., Mapstone, M. E., Zhang, Z., & Lin, F. V. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102413 · Cited by 9

A meta-analysis of diffusion tensor imaging in mild cognitive impairment and Alzheimer's disease

Sexton, C. E., Kalu, U. G., Filippini, N., Mackay, C. E., & Ebmeier, K. P. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.05.019 · Cited by 410

Microstructural changes in the hippocampus and posterior cingulate in mild cognitive impairment and Alzheimer’s disease: A diffusion tensor imaging study.

Hong, Y. J., Yoon, B., Lim, S.-C., Shim, Y. S., Kim, J.-Y., Ahn, K. J., Han, I.-W., & Yang, D. W. (2013) · Neurological Sciences · doi:10.1007/s10072-012-1225-4 · Cited by 48

Brain imaging of mild cognitive impairment and Alzheimer's disease.

Yin, C., Li, S., Zhao, W., & Feng, J. (2013) · PubMed Central · doi:10.3969/j.issn.1673-5374.2013.05.007 · Cited by 37

Magnetic Resonance Imaging Technology DTI in Alzheimer's Disease and the Application of Mild Cognitive Impairment

Long-ju, G. (2015) · Chinese Journal of CT and MRI

Study of diffusion tensor imaging in patients with Alzheimer disease and mild cognitive impairment

Chao-yon, X. (2009) · The Journal of Clinical Psychiatry · Cited by 1