The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.
Diffusion tensor imaging in mild cognitive impairment and Alzheimerʼs disease: a review
Abstract
PURPOSE OF REVIEW: To provide a comprehensive review of diffusion tensor imaging in evaluating microstructural changes in the spectrum of cognitive decline from ageing to Alzheimer's disease, in particular focusing on mild cognitive impairment. RECENT FINDINGS: Mild cognitive impairment represents a transition phase between normal ageing and early Alzheimer's disease. Diffusion tensor imaging has emerged as a useful imaging modality that provides information about the structural integrity of tissue. In healthy ageing, diffusion tensor imaging abnormalities occur in the frontal regions, specifically the frontal white matter, anterior cingulum and the genu of the corpus callosum. Some studies report an anterior-posterior gradient change with greater abnormalities in the genu than the splenium of the corpus callosum and in the frontal than parietal white matter. In Alzheimer's disease, diffusion tensor imaging abnormalities are concentrated in the posterior regions: the parahippocampal gyrus, temporal white matter, splenium of corpus callosum and posterior cingulum. In mild cognitive impairment, changes seem to parallel those in Alzheimer's disease, with similar posterior regions showing abnormalities. SUMMARY: Due to the similarities in diffusion tensor imaging findings in both mild cognitive impairment and Alzheimer's disease, it is likely that diffusion tensor imaging has the potential to emerge as a useful clinical tool for early detection and monitoring of disease progression and treatment response in mild cognitive impairment/Alzheimer's disease patients.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Both preclinical and clinical studies have reported reduced fractional anisotropy (FA) and increased mean diffusivity (MD) in AD.”
From Diffusion MRI reveals amyloid plaque–associated cellular signatures through spatial transcriptomic integration (2026) · cites this paper as [17]
In the citing paper
“However, as age-related changes were also observed in the number of reconstructed fibres in the parahippocampal cingulum they proposed that aging may affect both ends of the cingulum across the lifespan (see also Chua et al., 2008).”
From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Chua et al., 2008
Citations
Cites
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
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
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
Research works printed but not linked: 5
- Taylor, 2004, Neurosci Perspect, 55, 201
- Bartzokis, 1994, AJNR Am J Neuroradiol, 15, 1129
- Blatter, 1995, AJNR Am J Neuroradiol, 16, 241
- Nusbaum, 2001, AJNR Am J Neuroradiol, 22, 136
- Hanyu, 2002, AJNR Am J Neuroradiol, 23, 27
Cited by
Sorted by citations
Structural Brain Changes in Aging: Courses, Causes and Cognitive Consequences
Fjell, A. M., & Walhovd, K. B. (2010) · Reviews in the Neurosciences · doi:10.1515/revneuro.2010.21.3.187 · Cited by 1,158
The cingulum bundle: Anatomy, function, and dysfunction
Bubb, E. J., Metzler-Baddeley, C., & Aggleton, J. P. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.05.008 · Cited by 740
“This pattern of white matter differences is consistent with the well-established grey matter loss in parahippocampal, hippocampal, and posterior cingulate regions in Alzheimer’s disease (Choo et al., 2010; Chua et al., 2008).”
Beddington, J., Cooper, C. L., Field, J., Goswami, U., Huppert, F. A., Jenkins, R., Jones, H. S., Kirkwood, T. B. L., Sahakian, B. J., & Thomas, S. M. (2008) · Nature · doi:10.1038/4551057a · Cited by 554
Training of Working Memory Impacts Structural Connectivity
Takeuchi, H., Sekiguchi, A., Taki, Y., Yokoyama, S., Yomogida, Y., Komuro, N., Yamanouchi, T., Suzuki, S., & Kawashima, R. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.4611-09.2010 · Cited by 531
Douaud, G., Jbabdi, S., Behrens, T. E. J., Menke, R. A., Gass, A., Monsch, A. U., Rao, A., Whitcher, B., Kindlmann, G., Matthews, P. M., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.008 · Cited by 514
“As expected from the literature (reviews in Chua et al., 2008; Hess, 2009), all indices converged to demonstrate white matter microstructural changes in the cingulum bundle, uncinate fasciculus, corpus callosum, anterior commissure and SLF in patients with AD.”
BackgroundResultInfluentialA 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
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
Black, S., Gao, F., & Bilbao, J. (2009) · Stroke · doi:10.1161/strokeaha.108.537704 · Cited by 379
Effectiveness of regional DTI measures in distinguishing Alzheimer’s disease, MCI, and normal aging
Nir, T. M., Jahanshad, N., Villalon-Reina, J. E., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.07.006 · Cited by 348
Zhou, Y., Dougherty, J. H., Hübner, K. F., Bai, B., Cannon, R. L., & Hutson, R. K. (2008) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2008.04.006 · Cited by 340
Fibre-specific white matter reductions in Alzheimer’s disease and mild cognitive impairment
Mito, R., Raffelt, D., Dhollander, T., Vaughan, D. N., Tournier, J.-D., Salvado, O., Brodtmann, A., Rowe, C. C., Villemagne, V. L., & Connelly, A. (2018) · Brain · doi:10.1093/brain/awx355 · 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
Jacobs, H. I. L., Van Boxtel, M. P. J., Jolles, J., Verhey, F. R. J., & Uylings, H. B. M. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.06.009 · Cited by 293
PET/MRI for Neurologic Applications
Catana, C., Drzezga, A. E., Heiss, W., & Rosen, B. R. (2012) · Journal of Nuclear Medicine · doi:10.2967/jnumed.112.105346 · Cited by 292
Neuroimaging biomarkers for Alzheimer’s disease.
Márquez, F., & Yassa, M. A. (2019) · Molecular Neurodegeneration · doi:10.1186/s13024-019-0325-5 · Cited by 289
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
Yassa, M. A., Muftuler, L. T., & Stark, C. E. L. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1002113107 · Cited by 233
White matter structures associated with creativity: Evidence from diffusion tensor imaging
Takeuchi, H., Taki, Y., Sassa, Y., Hashizume, H., Sekiguchi, A., Fukushima, A., & Kawashima, R. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.035 · Cited by 223
Ryan, N. S., Keihaninejad, S., Shakespeare, T. J., Lehmann, M., Crutch, S. J., Malone, I. B., Thornton, J. S., Mancini, L., Hyare, H., Yousry, T., et al. (2013) · Brain · doi:10.1093/brain/awt065 · Cited by 205
Blaylock, R. L., & Maroon, J. C. (2011) · Surgical Neurology International · doi:10.4103/2152-7806.83391 · Cited by 212
Age-related regional variations of the corpus callosum identified by diffusion tensor tractography
Lebel, C., Caverhill-Godkewitsch, S., & Beaulieu, C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.072 · Cited by 209
Competitive advantage of PET/MRI
Jadvar, H., & Colletti, P. M. (2013) · European Journal of Radiology · doi:10.1016/j.ejrad.2013.05.028 · Cited by 194
Lueg, G., Groß, C. C., Lohmann, H., Johnen, A., Kemmling, A., Deppe, M., Groger, J., Minnerup, J., Wiendl, H., Meuth, S. G., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.08.008 · Cited by 195
Relevance of Magnetic Resonance Imaging for Early Detection and Diagnosis of Alzheimer Disease
Teipel, S. J., Grothe, M. J., Lista, S., Toschi, N., Garaci, F., & Hampel, H. J. (2013) · Medical Clinics of North America · doi:10.1016/j.mcna.2012.12.013 · Cited by 198
Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology
Hampel, H. J., (APMI), F. T. A. P. M. I., Toschi, N., Babiloni, C., Baldacci, F., Black, K. L., Bokde, A. L. W., Bun, R. S., Cacciola, F., Cavedo, E., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-179932 · Cited by 184
Gold, B. T., Johnson, N. F., Powell, D. K., & Smith, C. D. (2012) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.07.009 · Cited by 170
“Recent reviews have summarized evidence that WM microstructural integrity is decreased in AD and aMCI [12, 13].”
BackgroundVisual 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
Hampel, H. J., Lista, S., Teipel, S. J., Garaci, F., Nisticò, R., Blennow, K., Zetterberg, H., Bertram, L., Duyckaerts, C. J., Bakardjian, H., et al. (2013) · Biochemical Pharmacology · doi:10.1016/j.bcp.2013.11.009 · Cited by 148
Pereira, J. B., Mijalkov, M., Kakaei, E., Mecocci, P., Vellas, B., Tsolaki, M., Kłoszewska, I., Soininen, H., Spenger, C., Lovestone, S., et al. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw128 · Cited by 142
Racine, A. M., Adluru, N., Alexander, A. L., Christian, B. T., Okonkwo, O. C., Oh, J., Cleary, C. A., Birdsill, A., Hillmer, A. T., Murali, D., et al. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2014.02.001 · Cited by 136
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
Brain structures associated with executive functions during everyday events in a non-clinical sample
Takeuchi, H., Taki, Y., Sassa, Y., Hashizume, H., Sekiguchi, A., Fukushima, A., & Kawashima, R. (2012) · Brain Structure and Function · doi:10.1007/s00429-012-0444-z · Cited by 146
When, where, and how the corpus callosum changes in MCI and AD: A multimodal MRI study
Di Paola, M., Di Iulio, F., Cherubini, A., Blundo, C., Casini, A. R., Sancesario, G., Passafiume, D., Caltagirone, C., & Spalletta, G. (2010) · Neurology · doi:10.1212/wnl.0b013e3181d7d8cb · Cited by 153
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
Shu, N., Liang, Y., Li, H., Zhang, J., Li, X., Wang, L. Y., Yong He, A., Wang, Y., & Zhang, Z. (2012) · Radiology · doi:10.1148/radiol.12112361 · Cited by 123
MAGNETIC RESONANCE NEUROGRAPHY AND DIFFUSION TENSOR IMAGING
Filler, A. G. (2009) · Neurosurgery · doi:10.1227/01.neu.0000351279.78110.00 · Cited by 117
Anosognosia in Alzheimer disease: Disconnection between memory and self‐related brain networks
Perrotin, A., Desgranges, B., Landeau, B., Mézenge, F., la Joie, R., Egret, S., Pélerin, A., de la Sayette, V., Eustache, F., & Chételat, G. (2015) · Annals of Neurology · doi:10.1002/ana.24462 · Cited by 104
di Paola, M., Luders, E., di Iulio, F., Cherubini, A., Passafiume, D., Thompson, P., Caltagirone, C., Toga, A., & Spalletta, G. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.07.050 · Cited by 111
Perturbations of neural circuitry in aging, mild cognitive impairment, and Alzheimer's disease
Leal, S. L., & Yassa, M. A. (2013) · Ageing Research Reviews · doi:10.1016/j.arr.2013.01.006 · Cited by 114
Chang, Y.-L., Jacobson, M. W., Fennema-Notestine, C., Hagler, D. J., Jennings, R. G., Dale, A. M., McEvoy, L. K., & Initiative, A. A. D. N. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp192 · Cited by 130
Gold, B. T. (2014) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.12.006 · Cited by 119
Beyond mild cognitive impairment: vascular cognitive impairment, no dementia (VCIND)
Stephan, B. C. M., Matthews, F. E., Khaw, K., Dufouil, C., & Brayne, C. (2009) · Alzheimer s Research & Therapy · doi:10.1186/alzrt4 · Cited by 111
Falvey, C., Rosano, C., Simonsick, E. M., Harris, T. B., Strotmeyer, E. S., Satterfield, S., Yaffe, K. S., & Study, F. T. H. A. (2012) · Diabetes Care · doi:10.2337/dc12-0814 · Cited by 109
Altered whole-brain white matter networks in preclinical Alzheimer's disease
Fischer, F. U., Wolf, D., Scheurich, A., & Fellgiebel, A. (2015) · NeuroImage: Clinical · doi:10.1016/j.nicl.2015.06.007 · Cited by 105
White matter imaging changes in subjective and mild cognitive impairment
Selnes, P., Fjell, A. M., Gjerstad, L., Bjørnerud, A., Wallin, A., Due-Tønnessen, P., Grambaite, R., Stenset, V., & Fladby, T. (2012) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.07.001 · Cited by 75
White matter development in children with benign childhood epilepsy with centro-temporal spikes
Ciumas, C., Saignavongs, M., Ilski, F., Herbillon, V., Laurent, A., Lothe, A., Heckemann, R. A., de Bellescize, J., Panagiotakaki, E., Hannoun, S., et al. (2014) · Brain · doi:10.1093/brain/awu039 · Cited by 96
Selective changes in white matter integrity in MCI and older adults with cognitive complaints
Wang, Y., West, J. D., Flashman, L. A., Wishart, H. A., Santulli, R. B., Rabin, L. A., Pare, N., Arfanakis, K., & Saykin, A. J. (2012) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.08.002 · Cited by 110
Walhovd, K. B., Fjell, A. M., Amlien, I. K., Grambaitė, R., Stenset, V. T. V., Bjørnerud, A., Reinvang, I., Gjerstad, L., Cappelen, T., & Due‐Tønnessen, P. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.053 · Cited by 97
Longitudinal change of small-vessel disease-related brain abnormalities
Schmidt, R., Seiler, S., & Loitfelder, M. (2015) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2015.72 · Cited by 92
Structural networks in Alzheimer's disease
Reid, A., & Evans, A. C. (2013) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2012.11.010 · Cited by 94
Chang, Y., Bondi, M. W., Fennema‐Notestine, C., McEvoy, L. K., Hagler, D. J., Jacobson, M. W., & Dale, A. M. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.12.024 · Cited by 92
Rémy, F., Vayssière, N., Saint‐Aubert, L., Barbeau, E. J., & Pariente, J. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.01.014 · Cited by 87
Chen, T., Chen, Y., Cheng, T., Hua, M., Liu, H., & Chiu, M. (2009) · Human Brain Mapping · doi:10.1002/hbm.20810 · Cited by 85
Amyloid β1–42 oligomer inhibits myelin sheet formation in vitro
Horiuchi, M., Maezawa, I., Itoh, A., Wakayama, K., Jin, L., Itoh, T., & DeCarli, C. S. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.05.007 · Cited by 88
Chao, L. L., DeCarli, C. S., Kriger, S., Truran, D., Zhang, Y., Laxamana, J., Villeneuve, S., Jagust, W. J., Sanossian, N., Mack, W. J., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065175 · Cited by 85
Kim, S. M., Kim, M. J., Rhee, H. Y., Ryu, C., Kim, E. J., Petersen, E. T., & Jahng, G. (2012) · Neuroradiology · doi:10.1007/s00234-012-1077-x · Cited by 82
Zhang, Y., Schuff, N. W., Camacho, M. R., Chao, L. L., Fletcher, T. P., Yaffe, K. S., Woolley, S. C., Madison, C. A., Rosen, H. J., Miller, B. L., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066367 · Cited by 85
White matter structures associated with loneliness in young adults
Nakagawa, S., Takeuchi, H., Taki, Y., Nouchi, R., Sekiguchi, A., Kotozaki, Y., Miyauchi, C. M., Iizuka, K., Yokoyama, R., Shinada, T., et al. (2015) · Scientific Reports · doi:10.1038/srep17001 · Cited by 87
Memory binding and white matter integrity in familial Alzheimer’s disease
Parra, M. A., Saarimäki, H., Bastin, M. E., Londoño, A. C., Pettit, L., Lopera, F., Della Sala, S., & Abrahams, S. (2015) · Brain · doi:10.1093/brain/awv048 · Cited by 79
Chua, T. C., Wen, W. X., Chen, X., Kochan, N. A., Slavin, M. J., Trollor, J. N., Brodaty, H., & Sachdev, P. S. (2009) · American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e3181a76e0b · Cited by 80
Kim, M. J., Seo, S. W., Lee, K., Kim, S. T., Lee, J., Nam, D., & Na, D. L. (2011) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2531 · Cited by 80
Lee, D. Y., Fletcher, E., Martinez, O., Zozulya, N., Kim, J., Tran, J., Buonocore, M. H., Carmichael, O. T., & DeCarli, C. S. (2010) · Stroke · doi:10.1161/strokeaha.110.582163 · Cited by 80
Ryu, S. Y., Lim, E. Y., Na, S., Shim, Y. S., Cho, J. H., Yoon, B., Hong, Y. J., & Yang, D. W. (2017) · International Psychogeriatrics · doi:10.1017/s1041610216002349 · Cited by 78
Microstructural alteration of the anterior cingulum is associated with apathy in Alzheimer disease
Kim, J. W., Lee, D. Y., Choo, I. H., Seo, E. H., Kim, S. G., Park, S. Y., & Woo, J. I. (2011) · The American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e31820dcc73 · Cited by 79
White matter structures associated with empathizing and systemizing in young adults
Takeuchi, H., Taki, Y., Thyreau, B., Sassa, Y., Hashizume, H., Sekiguchi, A., Nagase, T., Nouchi, R., Fukushima, A., & Kawashima, R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.004 · Cited by 79
Takeuchi, H., Taki, Y., Sassa, Y., Hashizume, H., Sekiguchi, A., Fukushima, A., & Kawashima, R. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.08.022 · Cited by 80
Moghaddam, H. S., Sherbaf, F. G., & Aarabi, M. H. (2019) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2019.100782 · Cited by 76
Nir, T. M., Villalón‐Reina, J. E., Prasad, G., Jahanshad, N., Joshi, S. H., Toga, A. W., Bernstein, M. A., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.05.037 · Cited by 79
Alves, G. S., Knöchel, V. O., Knöchel, C., Carvalho, A. F., Pantel, J., Engelhardt, E., & Laks, J. (2015) · BioMed Research International · doi:10.1155/2015/291658 · Cited by 78
Irish, M., Hornberger, M., El‐Wahsh, S., Lam, B. Y. K., Lah, S. S., Miller, L. A., Hsieh, S., Hodges, J. R., & Piguet, O. (2014) · PLoS ONE · doi:10.1371/journal.pone.0113081 · Cited by 77
Specific Patterns of White Matter Alterations Help Distinguishing Alzheimer's and Vascular Dementia
Palesi, F., Rinaldis, A. D., Vitali, P., Castellazzi, G., Casiraghi, L., Germani, G., Bernini, S., Anzalone, N., Ramusino, M. C., Denaro, F. M., et al. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00274 · Cited by 71
Selected Findings from the Religious Orders Study and Rush Memory and Aging Project
Bennett, D. A., Wilson, R. S., Arvanitakis, Z., Boyle, P. A., de Toledo-Morrell, L., & Schneider, J. A. (2012) · Journal of Alzheimer's Disease · doi:10.3233/jad-2012-129007 · Cited by 69
Xiong, Y., Sui, Y., Xu, Z.-P., Zhang, Q., Karaman, M., Cai, K., Anderson, T., Zhu, W., Wang, J., & Zhou, X. J. (2016) · American Journal of Neuroradiology · doi:10.3174/ajnr.a4740 · Cited by 61
Neuroimaging at 7 Tesla: a pictorial narrative review
Okada, T., Fujimoto, K., Fushimi, Y., Akasaka, T., Thuy, D. H. D., Shima, A., Sawamoto, N., Oishi, N., Zhang, Z., Funaki, T., et al. (2022) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims-21-969 · Cited by 62
Structural Modifications of the Brain in Acclimatization to High-Altitude
Zhang, J., Yan, X., Shi, J., Gong, Q., Weng, X., & Liu, Y. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011449 · Cited by 66
Visuospatial processing in early Alzheimer’s disease: A multimodal neuroimaging study
Jacobs, H. I. L., Gronenschild, E. H. B. M., Evers, E. A. T., Ramakers, I. H. G. B., Hofman, P. A. M., Backes, W. H., Jolles, J., Verhey, F. R. J., & van Boxtel, M. P. J. (2012) · Cortex · doi:10.1016/j.cortex.2012.01.005 · Cited by 64
Andjus, P. R., Bataveljić, D., Vanhoutte, G., Mitrecic, D., Pizzolante, F., Djogo, N., Nicaise, C., Kengne, F. G., Gangitano, C., Michetti, F., et al. (2009) · The Anatomical Record · doi:10.1002/ar.20995 · Cited by 65
Effects of insulin resistance on white matter microstructure in middle-aged and older adults
Ryu, S. Y., Coutu, J., Rosas, H. D., & Salat, D. H. (2014) · Neurology · doi:10.1212/wnl.0000000000000452 · Cited by 60
Secondary prevention of Alzheimer’s dementia: neuroimaging contributions
ten Kate, M., Ingala, S., Schwarz, A. J., Fox, N. C., Chételat, G., van Berckel, B. N. M., Ewers, M., Foley, C., Gispert, J. D., Hill, D., et al. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0438-z · Cited by 65
Demyelination in Mild Cognitive Impairment Suggests Progression Path to Alzheimer’s Disease
Carmeli, C., Donati, A., Antille, V., Viceic, D., Ghika, J. A., von Gunten, A., Clarke, S., Meuli, R. A., Frackowiak, R. S. J., & Knyazeva, M. G. (2013) · PLoS ONE · doi:10.1371/journal.pone.0072759 · Cited by 57
Role of hippocampal CA1 atrophy in memory encoding deficits in amnestic Mild Cognitive Impairment
Fouquet, M., Desgranges, B., Joie, R. L., Rivière, D., Mangin, J., Landeau, B., Mézenge, F., Pèlerin, A., Sayette, V. D. L., Viader, F., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.036 · Cited by 56
A review of neuroimaging biomarkers of Alzheimer's disease.
Varghese, T., Sheelakumari, R., James, J. S., & Mathuranath, P. S. (2013) · PubMed · Cited by 57
Li, X., Li, T., Andreasen, N. C., Wiberg, M. K., Westman, E., & Wahlund, L. (2013) · Journal of Internal Medicine · doi:10.1111/joim.12164 · Cited by 58
Association of white matter microstructural integrity with cognition and dementia
Power, M. C., Su, D., Wu, A., Reid, R. I., Jack, C. R., Knopman, D. S., Coresh, J., Huang, J., Kantarci, K., Sharrett, A. R., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.08.021 · Cited by 56
White Matter Tracts of Speech and Language
Smits, M., Jiskoot, L. C., & Papma, J. M. (2014) · Seminars in Ultrasound CT and MRI · doi:10.1053/j.sult.2014.06.008 · Cited by 57
Mild Cognitive Impairments Moderate the Effect of Time on Verbal Fluency Performance
Demetriou, E. A., & Holtzer, R. (2016) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617716000825 · Cited by 51
Lista, S., Molinuevo, J. L., Cavedo, E., Rami, L., Amouyel, P., Teipel, S. J., Garaci, F., Toschi, N., Habert, M.-O., Blennow, K., et al. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-150202 · Cited by 53
Gray matter T1‐w/T2‐w ratios are higher in Alzheimer's disease
Pelkmans, W., Dicks, E., Barkhof, F., Vrenken, H., Scheltens, P., van der Flier, W. M., & Tijms, B. M. (2019) · Human Brain Mapping · doi:10.1002/hbm.24638 · Cited by 53
Shu, N., Wang, Z., Qi, Z., Li, K., & Yong He, A. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-0024 · Cited by 51
3 D tract‐specific local and global analysis of white matter integrity in A lzheimer's disease
Jin, Y., Huang, C., Daianu, M., Zhan, L., Dennis, E. L., Reid, R. I., Jack, C. R., Hongtu Zhu, B., Thompson, P. M., & Initiative, A. D. N. (2016) · Human Brain Mapping · doi:10.1002/hbm.23448 · Cited by 50
Gao, J., Cheung, R. T. F., Lee, T. M. C., Chu, L., Chan, Y., Mak, H. K., Zhang, J. X., Qiu, D., Fung, G., & Cheung, C. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-101788 · Cited by 51
Thong, J. Y. J., Du, J., Ratnarajah, N., Dong, Y., Soon, H. W., Saini, M., Tan, M., Tuan, T. A., Chen, C., & Qiu, A. (2013) · Human Brain Mapping · doi:10.1002/hbm.22330 · Cited by 49
Li, Q., Jiang, Q., Guo, M., Li, Q., Cai, C., & Yin, X. (2013) · British Journal of Ophthalmology · doi:10.1136/bjophthalmol-2012-302218 · Cited by 51
Contreras, J. A., Goñi, J., Risacher, S. L., Sporns, O., & Saykin, A. J. (2015) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-015-0056-z · Cited by 49
Doan, N. T., Engvig, A., Persson, K., Alnæs, D., Kaufmann, T., Rokicki, J., Córdova‐Palomera, A., Moberget, T., Brækhus, A., Barca, M. L., et al. (2017) · Scientific Reports · doi:10.1038/srep45131 · Cited by 52
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
Reppermund, S., Zhuang, L., Wen, W. X., Slavin, M. J., Trollor, J. N., Brodaty, H., & Sachdev, P. S. (2014) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.113.142109 · Cited by 51
Diffusion tensor imaging in hemorrhagic stroke
Chaudhary, N., Pandey, A. S., Gemmete, J. J., Hua, Y., Huang, Y., Gu, Y., & Xi, G. (2015) · Experimental Neurology · doi:10.1016/j.expneurol.2015.05.011 · Cited by 47
A comparison of three fiber tract delineation methods and their impact on white matter analysis
Sydnor, V. J., Rivas-Grajales, A. M., Lyall, A. E., Zhang, F., Bouix, S., Karmacharya, S., Shenton, M. E., Westin, C.-F., Makris, N., Wassermann, D., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.05.044 · Cited by 43
Takeuchi, H., Taki, Y., Sassa, Y., Hashizume, H., Sekiguchi, A., Nagase, T., Nouchi, R., Fukushima, A., & Kawashima, R. (2011) · Human Brain Mapping · doi:10.1002/hbm.21492 · Cited by 50
Metadata
- Authors
- Chua, T. C., Wen, W., Slavin, M. J., & Sachdev, P. S.
- Affiliations
- UNSW Sydney (AU)
- Corresponding author
- Chua, Terence C
- Venue
- Current Opinion in Neurology
- Published
- 2008-02
- Volume
- 21
- Issue
- 1
- Pages
- 83-92
- ISSN
- 1350-7540 (ISSN-L)
- OpenAlex
- W2009036027
- Cited by
- 273
- References
- 84
- Citations by year
- 2026: 6 · 2025: 1 · 2024: 4 · 2023: 5 · 2022: 8 · 2021: 14 · 2020: 14 · 2019: 14 · 2018: 15 · 2017: 11 · 2016: 12 · 2015: 21 · 2014: 26 · 2013: 34 · 2012: 19
- FWCI
- 2.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Current Opinion in Neurology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Keywords
- diffusion tensor imaging, mild cognitive impairment, Alzheimer's disease, white matter microstructure, healthy aging, corpus callosum, anterior cingulum, parahippocampal gyrus, cognitive decline, early detection of Alzheimer's disease, disease progression monitoring
- MeSH terms
- Aging, Alzheimer Disease, Brain Mapping, Cognition Disorders, Humans, Image Processing, Computer-Assisted, Neuropsychological Tests, 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