An advanced white matter tract analysis in frontotemporal dementia and early-onset Alzheimer’s disease
Open accessAbstract
Cortical and subcortical nuclei degenerate in the dementias, but less is known about changes in the white matter tracts that connect them. To better understand white matter changes in behavioral variant frontotemporal dementia (bvFTD) and early-onset Alzheimer's disease (EOAD), we used a novel approach to extract full 3D profiles of fiber bundles from diffusion-weighted MRI (DWI) and map white matter abnormalities onto detailed models of each pathway. The result is a spatially complex picture of tract-by-tract microstructural changes. Our atlas of tracts for each disease consists of 21 anatomically clustered and recognizable white matter tracts generated from whole-brain tractography in 20 patients with bvFTD, 23 with age-matched EOAD, and 33 healthy elderly controls. To analyze the landscape of white matter abnormalities, we used a point-wise tract correspondence method along the 3D profiles of the tracts and quantified the pathway disruptions using common diffusion metrics - fractional anisotropy, mean, radial, and axial diffusivity. We tested the hypothesis that bvFTD and EOAD are associated with preferential degeneration in specific neural networks. We mapped axonal tract damage that was best detected with mean and radial diffusivity metrics, supporting our network hypothesis, highly statistically significant and more sensitive than widely studied fractional anisotropy reductions. From white matter diffusivity, we identified abnormalities in bvFTD in all 21 tracts of interest but especially in the bilateral uncinate fasciculus, frontal callosum, anterior thalamic radiations, cingulum bundles and left superior longitudinal fasciculus. This network of white matter alterations extends beyond the most commonly studied tracts, showing greater white matter abnormalities in bvFTD versus controls and EOAD patients. In EOAD, network alterations involved more posterior white matter - the parietal sector of the corpus callosum and parahipoccampal cingulum bilaterally. Widespread but distinctive white matter alterations are a key feature of the pathophysiology of these two forms of dementia.
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Raw structural connectivity models showed alterations in the uncinate fasciculus, superior longitudinal fasciculus, corpus callosum, dentatorubrothalamic tract, and inferior fronto-occipital fasciculus.
“we found alterations in the uncinate fasciculus (Agosta et al., 2012; Daianu et al., 2016; Iaccarino et al., 2015; Nguyen et al., 2013), superior longitudinal fasciculus (Agosta et al., 2012; Daianu et al., 2016), corpus callosum (Tovar-Moll et al., 2014), dentatorubrothalamic tract (Whitwell et al., 2011a), and inferior fronto-occipital fasciculus (Meijboom et al., 2017).”
From Multiclass characterization of frontotemporal dementia variants via multimodal brain network computational inference (2023) · cites this paper as Daianu et al., 2016
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
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 · see citing works
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657 · see citing works
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · cited 1× · see citing works
“…et al. 2007; McKhann et al. 1984), involving amyloid plaques and neurofibrillary tangles, typically spreading from the entorhinal cortex, to the hippocampus and then to the rest of the cortex (Braak and Braak 1991); cortical gray matter is lost in a similar dynamic pattern (Frisoni et al. 2009).”
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 · see citing works
Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia
Rascovsky, K., Hodges, J. R., Knopman, D., Mendez, M. F., Kramer, J. H., Neuhaus, J., van Swieten, J. C., Seelaar, H., Dopper, E. G. P., Onyike, C. U., et al. (2011) · Brain · doi:10.1093/brain/awr179 · Cited by 5,221 · see citing works
Self-citationA reproducible evaluation of ANTs similarity metric performance in brain image registration
Avants, B. B., Tustison, N. J., Song, G., Cook, P. A., Klein, A., & Gee, J. C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.025 · Cited by 4,796 · see citing works
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 4,653 · see citing works
DISCONNEXION SYNDROMES IN ANIMALS AND MAN
Geschwind, N. (1965) · Brain · doi:10.1093/brain/88.2.237 · Cited by 3,419 · see citing works
NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain
Zhang, H., Schneider, T., Wheeler-Kingshott, C. A., & Alexander, D. C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.072 · Cited by 3,288 · see citing works
Appelhof, B., Bakker, C., den IJssel, J. C. L. V. D., Zwijsen, S. A., Smalbrugge, M., Verhey, F. R. J., de Vugt, M. E., Zuidema, S. U., & Koopmans, R. T. C. M. (2017) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000477087 · Cited by 2,773 · see citing works
Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water
Song, S.-K., Sun, S.-W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H. (2002) · NeuroImage · doi:10.1006/nimg.2002.1267 · Cited by 2,582 · see citing works
White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI
Jones, D. K., Knösche, T. R., & Turner, R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.081 · Cited by 2,479 · cited 1× · see citing works
“…of this work, FA is perhaps the most widely used diffusion MRI metric in studies of dementia, but recent studies suggest that metrics AX and RD might have more specificity for certain pathologies and may be more appropriate descriptors of neurodegeneration (Mahoney et al. 2014; Jones et al. 2013).”
Neurodegenerative Diseases Target Large-Scale Human Brain Networks
Seeley, W. W., Crawford, R. K., Zhou, J., Miller, B. L., & Greicius, M. D. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.024 · Cited by 2,350 · see citing works
DISCONNEXION SYNDROMES IN ANIMALS AND MAN
Geschwind, N. (1965) · Brain · doi:10.1093/brain/88.3.585 · Cited by 1,823 · see citing works
Dynamics of Gray Matter Loss in Alzheimer's Disease
Thompson, P. M., Hayashi, K. M., de Zubicaray, G., Janke, A. L., Rose, S. E., Semple, J., Herman, D., Hong, M. S., Dittmer, S. S., Doddrell, D. M., et al. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-03-00994.2003 · Cited by 1,132 · see citing works
Self-citationZhou, J., Greicius, M. D., Gennatas, E. D., Growdon, M. E., Jang, J. Y., Rabinovici, G. D., Kramer, J. H., Weiner, M., Miller, B. L., & Seeley, W. W. (2010) · Brain · doi:10.1093/brain/awq075 · Cited by 1,016 · see citing works
The rises and falls of disconnection syndromes
Catani, M., & ffytche, D. H. (2005) · Brain · doi:10.1093/brain/awh622 · Cited by 863 · see citing works
Dissecting the uncinate fasciculus: disorders, controversies and a hypothesis.
Von Der Heide, R. J., Skipper, L. M., Klobusicky, E., & Olson, I. R. (2013) · Brain · doi:10.1093/brain/awt094 · Cited by 829 · see citing works
Thomas, C., Ye, F. Q., Irfanoglu, M. O., Modi, P., Saleem, K. S., Leopold, D. A., & Pierpaoli, C. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1405672111 · Cited by 725 · see citing works
Alzheimer' Disease as a Disconnection Syndrome?
Delbeuck, X., der Linden, M. V., & Collette, F. (2003) · Neuropsychology Review · doi:10.1023/a:1023832305702 · Cited by 681 · see citing works
Symmetries in human brain language pathways correlate with verbal recall
Catani, M., Allin, M. P. G., Husain, M., Pugliese, L., Mesulam, M. M., Murray, R. M., & Jones, D. K. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0702116104 · Cited by 650 · see citing works
Andreasen, N. C., O'Leary, D. S., Cizadlo, T., Arndt, S., Rezai, K., Ponto, L. L., Watkins, G. L., & Hichwa, R. D. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.18.9985 · Cited by 625 · see citing works
Smith, S. M., Johansen‐Berg, H., Jenkinson, M., Rueckert, D., Nichols, T. E., Miller, K. L., Robson, M. D., Jones, D. K., Klein, J. C., Bartsch, A. J., et al. (2007) · Nature Protocols · doi:10.1038/nprot.2007.45 · Cited by 578 · see citing works
Frontal Paralimbic Network Atrophy in Very Mild Behavioral Variant Frontotemporal Dementia
Seeley, W. W., Crawford, R., Rascovsky, K., Kramer, J. H., Weiner, M., Miller, B. L., & Gorno-Tempini, M. L. (2008) · Archives of Neurology · doi:10.1001/archneurol.2007.38 · Cited by 506 · see citing works
Bennett, I. J., Madden, D. J., Vaidya, C. J., Howard, D. V., & Howard, J. H. (2009) · Human Brain Mapping · doi:10.1002/hbm.20872 · Cited by 485 · see citing works
Budde, M. D., Xie, M., Cross, A. H., & Song, S. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.4605-08.2009 · Cited by 483 · see citing works
Sun, S., Liang, H., Trinkaus, K., Cross, A. H., Armstrong, R. C., & Song, S. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20774 · Cited by 461 · see citing works
Deciphering the mechanism underlying late-onset Alzheimer disease
Krstic, D., & Knuesel, I. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2012.236 · Cited by 457 · see citing works
The topography of grey matter involvement in early and late onset Alzheimer's disease
Frisoni, G. B., Pievani, M., Testa, C., Sabattoli, F., Bresciani, L. C., Bonetti, M., Beltramello, A., Hayashi, K. M., Toga, A. W., & Thompson, P. M. (2007) · Brain · doi:10.1093/brain/awl377 · Cited by 433 · see citing works
Self-citationMapping cortical change in Alzheimer's disease, brain development, and schizophrenia
Thompson, P. M., Hayashi, K. M., Sowell, E. R., Gogtay, N., Giedd, J. N., Rapoport, J. L., de Zubicaray, G. I., Janke, A. L., Rose, S., Semple, J. M., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.071 · Cited by 396 · see citing works
Self-citationAbsolute 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 · see citing works
Dubois, J., Dehaene‐Lambertz, G., Perrin, M., Mangin, J., Cointepas, Y., Duchesnay, É., Bihan, D. L., & Hertz‐Pannier, L. (2007) · Human Brain Mapping · doi:10.1002/hbm.20363 · Cited by 374 · see citing works
Radial diffusivity predicts demyelination in ex vivo multiple sclerosis spinal cords
Klawiter, E. C., Schmidt, R. E., Trinkaus, K., Liang, H.-F., Budde, M. D., Naismith, R. T., Song, S.-K., Cross, A. H., & Benzinger, T. L. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.007 · Cited by 364 · see citing works
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 · see citing works
Self-citationExcessive 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 · see citing works
Zhang, Y., Zhang, J., Oishi, K., Faria, A. V., Jiang, H., Li, X., Akhter, K., Rosa-Neto, P., Pike, G. B., Evans, A., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.049 · Cited by 297 · see citing works
Precuneus atrophy in early-onset Alzheimer’s disease: a morphometric structural MRI study
Karas, G. B., Scheltens, P., Rombouts, S. A. R. B., van Schijndel, R. A., Klein, M., Jones, B. F., van der Flier, W. M., Vrenken, H., & Barkhof, F. (2007) · Neuroradiology · doi:10.1007/s00234-007-0269-2 · Cited by 293 · see citing works
Disconnection syndromes of basal ganglia, thalamus, and cerebrocerebellar systems
Schmahmann, J. D., & Pandya, D. Ν. (2008) · Cortex · doi:10.1016/j.cortex.2008.04.004 · Cited by 280 · see citing works
Cortical variability and asymmetry in normal aging and Alzheimer's disease
Thompson, P. M. (1998) · Cerebral Cortex · doi:10.1093/cercor/8.6.492 · Cited by 264 · see citing works
Self-citationGray and white matter water diffusion in the syndromic variants of frontotemporal dementia
Whitwell, J. L., Avula, R. T. V., Senjem, M. L., Kantarci, K., Weigand, S. D., Samikoglu, A. R., Edmonson, H. A., Vemuri, P., Knopman, D. S., Boeve, B. F., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181d9edde · Cited by 256 · see citing works
Inflammation and therapeutic vaccination in CNS diseases
Weiner, H. L., & Selkoe, D. J. (2002) · Nature · doi:10.1038/nature01325 · Cited by 253 · see citing works
Kochunov, P., Thompson, P. M., Lancaster, J. L., Bartzokis, G., Smith, S., Coyle, T., Royall, D. R., Laird, A., & Fox, P. T. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.12.021 · Cited by 250 · see citing works
Self-citationIshii, K., Kawachi, T., Sasaki, H., Kono, A. K., Fukuda, T., KOJIMA, Y., & Mori, E. (2005) · PubMed Central · Cited by 192 · see citing works
Abnormal network connectivity in frontotemporal dementia: Evidence for prefrontal isolation
Farb, N. A. S., Grady, C. L., Strother, S. C., Tang‐Wai, D. F., Masellis, M., Black, S. E., Freedman, M., Pollock, B. G., Campbell, K. L., Hasher, L., et al. (2012) · Cortex · doi:10.1016/j.cortex.2012.09.008 · Cited by 191 · see citing works
Avants, B., Cook, P. A., Ungar, L., Gee, J. C., & Grossman, M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.041 · Cited by 178 · see citing works
Bodini, B., Khaleeli, Z., Cercignani, M., Miller, D. H., Thompson, A. J., & Ciccarelli, O. (2009) · Human Brain Mapping · doi:10.1002/hbm.20713 · Cited by 175 · see citing works
Kim, J. H., Loy, D. N., Liang, H., Trinkaus, K. M., Schmidt, R. E., & Song, S. (2007) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21316 · Cited by 173 · see citing works
Daianu, M., Jahanshad, N., Nir, T. M., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, F. T. A. D. (2013) · Brain Connectivity · doi:10.1089/brain.2012.0137 · Cited by 173 · see citing works
Self-citationFiliano, A. J., Martens, L. H., Young, A. H., Warmus, B. A., Zhou, P., Diaz‐Ramirez, G., Jiao, J., Zhang, Z., Huang, E. J., Gao, F., et al. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.6103-11.2013 · Cited by 172 · see citing works
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 · cited 2× · see citing works
“…where white matter alterations are less well-known, we aimed to define tracts that might contribute to the pathogenesis of the disease, in the ventral frontal cortex near the inferior fronto-occipital fasciculs and uncinate (Bendlin et al. 2010; Gold et al. 2012), and the parahippocampal cingulum.”
In vivo and post-mortem memory circuit integrity in frontotemporal dementia and Alzheimer’s disease
Hornberger, M., Wong, S., Tan, R. H., Irish, M., Piguet, O., Kril, J. J., Hodges, J. R., & Halliday, G. M. (2012) · Brain · doi:10.1093/brain/aws239 · Cited by 165 · see citing works
Agosta, F., Pagani, E., Petrolini, M., Caputo, D., Perini, M., Prelle, A. C., Salvi, F., & Filippi, M. (2010) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2105 · Cited by 155 · see citing works
Apostolova, L. G., Steiner, C. A., Akopyan, G. G., Dutton, R. A., Hayashi, K. M., Toga, A. W., Cummings, J. L., & Thompson, P. M. (2007) · Archives of Neurology · doi:10.1001/archneur.64.10.1489 · Cited by 150 · see citing works
Self-citationAssessment of white matter tract damage in mild cognitive impairment and Alzheimer's disease
Pievani, M., Agosta, F., Pagani, E., Canu, E., Sala, S., Absinta, M., Geroldi, C., Ganzola, R., Frisoni, G. B., & Filippi, M. (2010) · Human Brain Mapping · doi:10.1002/hbm.20978 · Cited by 146 · see citing works
Zhan, L., Zhou, J., Wang, Y., Jin, Y., Jahanshad, N., Prasad, G., Nir, T. M., Leonardo, C. D., Ye, J., Thompson, P. M., et al. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00048 · Cited by 141 · see citing works
Self-citationDaianu, M., Jahanshad, N., Nir, T. M., Jack, C. R., Weiner, M. W., Bernstein, M. A., Thompson, P. M., & Initiative, T. A. D. N. (2015) · Human Brain Mapping · doi:10.1002/hbm.22830 · Cited by 141 · see citing works
Self-citationEvidence of White Matter Changes on Diffusion Tensor Imaging in Frontotemporal Dementia
Borroni, B., Brambati, S. M., Agosti, C., Gipponi, S., Bellelli, G., Gasparotti, R., Garibotto, V., Luca, M. D., Scifo, P., Perani, D., et al. (2007) · Archives of Neurology · doi:10.1001/archneur.64.2.246 · Cited by 140 · see citing works
In vivo mapping of incremental cortical atrophy from incipient to overt Alzheimer’s disease
Frisoni, G. B., Prestia, A., Rasser, P. E., Bonetti, M., & Thompson, P. M. (2009) · Journal of Neurology · doi:10.1007/s00415-009-5040-7 · Cited by 134 · see citing works
Self-citationWhite matter is altered with parental family history of Alzheimer's disease
Bendlin, B. B., Ries, M. L., Canu, E., Sodhi, A., Lazar, M., Alexander, A. L., Carlsson, C. M., Sager, M. A., Asthana, S., & Johnson, S. C. (2010) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2009.11.003 · Cited by 124 · see citing works
Profiles of white matter tract pathology in frontotemporal dementia
Mahoney, C. J., Ridgway, G. R., Malone, I. B., Downey, L. E., Beck, J., Kinnunen, K. M., Schmitz, N., Golden, H. L., Rohrer, J. D., Schott, J. M., et al. (2014) · Human Brain Mapping · doi:10.1002/hbm.22468 · Cited by 124 · see citing works
Automatic clustering of white matter fibers in brain diffusion MRI with an application to genetics
Jin, Y., Shi, Y., Zhan, L., Gutman, B. A., de Zubicaray, G. I., McMahon, K. L., Wright, M. J., Toga, A. W., & Thompson, P. M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.04.048 · Cited by 119 · see citing works
Self-citation25 years of neuroimaging in amyotrophic lateral sclerosis
Foerster, B. R., Welsh, R. C., & Feldman, E. L. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2013.153 · Cited by 114 · see citing works
The tensor distribution function
Leow, A. D., Zhu, S., Zhan, L., McMahon, K., de Zubicaray, G. I., Meredith, M., Wright, M. J., Toga, A. W., & Thompson, P. M. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21852 · Cited by 101 · see citing works
Self-citationLinke, J. O., King, A. V., Poupon, C., Hennerici, M. G., Gass, A., & Wessa, M. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.04.010 · Cited by 100 · see citing works
Callosal Function in Pediatric Traumatic Brain Injury Linked to Disrupted White Matter Integrity
Dennis, E. L., Ellis, M. U., Marion, S. D., et al. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.1595-15.2015 · Cited by 86 · see citing works
Dennis, E. L., Jin, Y., Villalón‐Reina, J. E., Zhan, L., Kernan, C., Babikian, T., Mink, R. B., Babbitt, C. J., Johnson, J. L., Giza, C. C., et al. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.02.002 · Cited by 77 · see citing works
Self-citationLoss of emotional insight in behavioral variant frontotemporal dementia or “frontal anosodiaphoria”
Mendez, M. F., & Shapira, J. S. (2011) · Consciousness and Cognition · doi:10.1016/j.concog.2011.09.005 · Cited by 77 · see citing works
Self-citationWhite matter microstructure in patients with obsessive–compulsive disorder
Bora, E. (2010) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.100082 · Cited by 70 · see citing works
Santillo, A. F., Mårtensson, J., Lindberg, O. E., Nilsson, M., Manzouri, A., Waldö, M. L., van Westen, D., Wahlund, L., Lätt, J., & Nilsson, C. F. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066932 · Cited by 58 · see citing works
Patterns of Brain Atrophy in Clinical Variants of Frontotemporal Lobar Degeneration
Lu, P. H., Mendez, M. F., Lee, G. J., Leow, A., Lee, H.-W., Shapira, J. S., Jimenez, E. E., Boeve, B. F., Caselli, R. J., Graff‐Radford, N. R., et al. (2013) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000345523 · Cited by 56 · see citing works
Self-citationKasper, E., Schuster, C., Machts, J., Kaufmann, J., Bittner, D., Vielhaber, S., Benecke, R., Teipel, S. J., & Prudlo, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0114543 · Cited by 55 · see citing works
Clinic, neuropathology and molecular genetics of frontotemporal dementia: a mini-review
Pan, X., & Chen, X. (2013) · Translational Neurodegeneration · doi:10.1186/2047-9158-2-8 · Cited by 51 · see citing works
Corticospinal tract degeneration associated with TDP-43 type C pathology and semantic dementia
Josephs, K. A., Whitwell, J. L., Murray, M. E., Parisi, J. E., Graff‐Radford, N. R., Knopman, D. S., Boeve, B. F., Senjem, M. L., Rademakers, R., Jack, C. R., et al. (2013) · Brain · doi:10.1093/brain/aws324 · Cited by 47 · see citing works
Powers, J., Massimo, L. M., McMillan, C. T., Yushkevich, P. A., Zhang, H. G., Gee, J. C., & Grossman, M. (2014) · Cognitive and Behavioral Neurology · doi:10.1097/wnn.0000000000000044 · Cited by 43 · see citing works
Muilwijk, D., Verheij, S., Pel, J. J. M., et al. (2013) · Translational Neurodegeneration · doi:10.1186/2047-9158-2-1 · Cited by 37 · see citing works
Walterfang, M., Eileen Luders, A., Looi, J. C., Rajagopalan, P., Velakoulis, D., Thompson, P. M., Lindberg, O. E., Östberg, P., Nordin, L. E., Svensson, L. A., et al. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-131853 · Cited by 30 · see citing works
Self-citationAutomated multi-atlas labeling of the fornix and its integrity in alzheimer's disease
Jin, Y., Shi, Y., Zhan, L., & Thompson, P. M. (2015) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2015.7163835 · Cited by 27 · see citing works
Self-citationDaianu, M., Mezher, A. F., Jahanshad, N., Hibar, D. P., Nir, T. M., Jack, C. R., Weiner, M. W., Bernstein, M. A., & Thompson, P. M. (2015) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2015.7163910 · Cited by 26 · see citing works
Self-citationLabeling white matter tracts in hardi by fusing multiple tract atlases with applications to genetics
Jin, Y., Shi, Y., Zhan, L., de Zubicaray, G. I., McMahon, K. L., Martin, N. G., Wright, M. J., & Thompson, P. M. (2013) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2013.6556524 · Cited by 23 · see citing works
Self-citationAutomatic Population HARDI White Matter Tract Clustering by Label Fusion of Multiple Tract Atlases
Jin, Y., Shi, Y., Zhan, L., Li, J., de Zubicaray, G. I., McMahon, K. L., Martin, N. G., Wright, M. J., & Thompson, P. M. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33530-3_12 · Cited by 21 · see citing works
Self-citationLi, J., Jin, Y., Shi, Y., Dinov, I. D., Wang, D. J. J., Toga, A. W., & Thompson, P. M. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40811-3_82 · Cited by 20 · see citing works
Self-citationDaianu, M., Jahanshad, N., Dennis, E. L., Toga, A. W., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., Wright, M. J., Hickie, I. B., & Thompson, P. M. (2012) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2012.6235601 · Cited by 19 · see citing works
Self-citationSchroeter, M. L., Bzdok, D., Eickhoff, S. B., & Neumann, J. (2014) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2014-308387 · Cited by 13 · see citing works
7T multi-shell hybrid diffusion imaging (HYDI) for mapping brain connectivity in mice
Daianu, M., Jahanshad, N., Villalón‐Reina, J. E., Prasad, G., Jacobs, R. E., Barnes, S. R., Zloković, B. V., Montagne, A., & Thompson, P. M. (2015) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2081491 · Cited by 12 · see citing works
Self-citation3D elastic registration improves HARDI-derived fiber alignment and automated tract clustering
Jin, Y., Shi, Y., Jahanshad, N., et al. (2011) · IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI) · doi:10.1109/isbi.2011.5872531 · Cited by 12 · see citing works
Self-citationAlzheimer’s Disease Classification with Novel Microstructural Metrics from Diffusion-Weighted MRI
Initiative, A. D. N., Nir, T. M., Villalón‐Reina, J. E., Gutman, B. A., Moyer, D., Jahanshad, N., Dehghani, M., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2016) · Mathematics and visualization · doi:10.1007/978-3-319-28588-7_4 · Cited by 12 · see citing works
Self-citation019 Profiles of white matter degeneration in frontotemporal dementia
Mahoney, C., Rossor, M. N., Fox, N. C., & Warren, J. D. (2012) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2011-301993.61 · Cited by 4 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Morris, R. G. (1996). Neurobiological correlates of cognitive dysfunc- tion. In R. G. Morris (Ed.), The cognitive neuropsychology of Alzheimer-type dementia (pp. 223-254). Oxford: Oxford University Press.
- Morrison, J., Scherr, S., Lewis, D., Campbell, M., Bloom, F., & Rogers, J. (1986). The laminar and regional distribution of neocortical somato- statin and neuritic plaques: Implications for Alzheimer's disease as a global neocortical disconnection syndrome. In A. Scheibel, A. Wechsler, & M. Brazier (Eds.), The biological substrates of Alzheimer's disease (pp. 115-131). Orlando: Academic.
Cited by
Sorted by citations
The human connectome in Alzheimer disease — relationship to biomarkers and genetics
Yu, M., Sporns, O., & Saykin, A. J. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-021-00529-1 · Cited by 265 · see citing works
Staffaroni, A., Elahi, F., McDermott, D., Marton, K., Karageorgiou, E., Sacco, S., Paoletti, M., Caverzasi, E., Hess, C., Rosen, H., et al. (2017) · Seminars in Neurology · doi:10.1055/s-0037-1608808 · Cited by 91 · see citing works
FTD spectrum: Neuroimaging across the FTD spectrum
Whitwell, J. L. (2019) · Progress in Molecular Biology and Translational Science · doi:10.1016/bs.pmbts.2019.05.009 · Cited by 53 · see citing works
Gonzalez-Gomez, R., Ibañez, A., & Moguilner, S. (2023) · Network Neuroscience · doi:10.1162/netn_a_00285 · Cited by 10 · see citing works
- Authors
- Daianu, M., Mendez, M. F., Baboyan, V. G., Jin, Y., Melrose, R. J., Jimenez, E. E., & Thompson, P. M.
- Affiliations
- University of Southern California (US)
- University of California, Los Angeles (US)
- Corresponding author
- Thompson, Paul M.
- Venue
- Brain Imaging and Behavior
- Published
- 2015-10-29
- Volume
- 10
- Issue
- 4
- Pages
- 1038-1053
- ISSN
- 1931-7557 (ISSN-L)
- 1931-7565
- PMC
- PMC5167220
- OpenAlex
- W1919284595
- Cited by
- 64
- References
- 88
- Citations by year
- 2026: 6 · 2025: 5 · 2023: 5 · 2022: 4 · 2021: 6 · 2020: 3 · 2019: 9 · 2018: 9 · 2017: 7 · 2016: 6 · 2015: 4
- FWCI
- 7.02
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Brain Imaging and Behavior (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (EB020403, MH097268)
- National Institute on Aging (AG-016570, P50AG016570, AG040060, R01AG040060, R01AG034499, EB008281, P01AG052350)
- National Institute of Mental Health (MH097268, R01MH097268)
- National Institute of Biomedical Imaging and Bioengineering (EB 01651, R01EB008432, R01EB008281, U54EB020403, P41EB015922)
- U.S. National Library of Medicine (EB008432, LM 05639, R01LM005639, EB008281)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- behavioral variant frontotemporal dementia, early-onset Alzheimer's disease, white matter tracts, diffusion-weighted imaging, tractography, mean diffusivity, radial diffusivity, fractional anisotropy, uncinate fasciculus, corpus callosum, anterior thalamic radiation, cingulum, superior longitudinal fasciculus, white matter microstructure
- MeSH terms
- Alzheimer Disease, Brain, Female, Humans, Male, Mental Status Schedule, Middle Aged, Cohort Studies, Age of Onset, Imaging, Three-Dimensional, Diffusion Magnetic Resonance Imaging, Diffusion Tensor Imaging, Frontotemporal Dementia, White Matter
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