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Clinical and Biological Correlates of White Matter Hyperintensities in Patients With Behavioral-Variant Frontotemporal Dementia and Alzheimer Disease
Abstract
OBJECTIVE: To test the hypothesis that white matter hyperintensities (WMH) in behavioral-variant frontotemporal dementia (bvFTD) and Alzheimer disease (AD) are associated with disease variables such as disease severity, cortical atrophy, and cognition, we conducted a cross-sectional brain MRI study with volumetric and voxel-wise analyses. METHODS: A total of 129 patients (64 bvFTD, 65 AD) and 66 controls underwent high-resolution brain MRI and clinical and neuropsychological examination. Genetic screening was conducted in 124 cases (54 bvFTD, 44 AD, 26 controls) and postmortem pathology was available in 18 cases (13 bvFTD, 5 AD). WMH were extracted using an automated segmentation algorithm and analyses of total volumes and spatial distribution were conducted. Group differences in total WMH volume and associations with vascular risk and disease severity were examined. Syndrome-specific voxel-wise associations between WMH, cortical atrophy, and performance across different cognitive domains were assessed. RESULTS: Total WMH volumes were larger in patients with bvFTD than patients with AD and controls. In bvFTD, WMH volumes were associated with disease severity but not vascular risk. Patients with bvFTD and patients with AD showed distinct spatial patterns of WMH that mirrored characteristic patterns of cortical atrophy. Regional WMH load correlated with worse cognitive performance in discrete cognitive domains. WMH-related cognitive impairments were shared between syndromes, with additional associations found in bvFTD. CONCLUSION: Increased WMH are common in patients with bvFTD and patients with AD. Our findings suggest that WMH are partly independent of vascular pathology and associated with the neurodegenerative process. WMH occur in processes independent of and related to cortical atrophy. Furthermore, increased WMH in different regions contributes to cognitive deficits.
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“an increase of WM hyperintensities, both independent of and related to cortical atrophy (cross-sectional) (Huynh et al., 2021)”
From The pursuit for markers of disease progression in behavioral variant frontotemporal dementia: a scoping review to optimize outcome measures for clinical trials (2024) · cites this paper as Huynh et al., 2021
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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
Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.021 · Cited by 13,324
A fast diffeomorphic image registration algorithm
Ashburner, J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.007 · Cited by 8,122
Measuring the thickness of the human cerebral cortex from magnetic resonance images
Fischl, B. R., & Dale, A. M. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200033797 · Cited by 5,995
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
Self-citationMaldjian, J. A., Laurienti, P. J., Kraft, R., & Burdette, J. H. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00169-1 · Cited by 5,066
Ungerleider, L. G. (1982) · Medical Entomology and Zoology · Cited by 4,531
Christiane, Druml, Wolzt, & Pleiner (2001) · Acta Scientiarum Naturalium Universitatis Sunyatseni · Cited by 3,419
Hyman, B. T., Phelps, C. H., Beach, T. G., Bigio, E. H., Cairns, N. J., Carrillo, M. C., Dickson, D. W., Duyckaerts, C., Frosch, M. P., Masliah, E., et al. (2012) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.10.007 · Cited by 3,092
(2014) · Journal of Korean Medical Association · doi:10.5124/jkma.2014.57.11.899 · Cited by 2,667
Mioshi, E., Dawson, K., Mitchell, J., Arnold, R., & Hodges, J. R. (2006) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.1610 · Cited by 2,016
Self-citationStereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template
Mori, S., Oishi, K., Jiang, H., Jiang, L., Li, X., Akhter, K., Hua, K., Faria, A. V., Mahmood, A., Woods, R. P., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.12.035 · Cited by 1,832
Type I and Type II error concerns in fMRI research: re-balancing the scale
Lieberman, M. D., & Cunningham, W. A. (2009) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsp052 · Cited by 1,342
A harmonized classification system for FTLD-TDP pathology
Mackenzie, I. R., Neumann, M., Baborie, A., Sampathu, D. M., du Plessis, D., Jaros, E., Perry, R. H., Trojanowski, J. Q., Mann, D. M. A., & Lee, V. M. ‐. (2011) · Acta Neuropathologica · doi:10.1007/s00401-011-0845-8 · Cited by 1,042
Hsieh, S., Schubert, S., Hoon, C., Mioshi, E., & Hodges, J. R. (2013) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000351671 · Cited by 1,021
Self-citationDecreased volume of left and total anterior insular lobule in schizophrenia
Makris, N., Goldstein, J. M., Kennedy, D. N., Hodge, S. M., Caviness, V. S., Faraone, S. V., Tsuang, M. T., & Seidman, L. J. (2006) · Schizophrenia Research · doi:10.1016/j.schres.2005.11.020 · Cited by 788
Weale, R. (1983) · British Journal of Ophthalmology · doi:10.1136/bjo.67.2.136 · Cited by 652
Lee, S., Viqar, F., Zimmerman, M. E., Narkhede, A., Tosto, G., Benzinger, T. L. S., Marcus, D. S., Fagan, A. M., Goate, A., Fox, N. C., et al. (2016) · Annals of Neurology · doi:10.1002/ana.24647 · Cited by 542
Alber, J., Alladi, S., Bae, H., Barton, D. A., Beckett, L. A., Bell, J. M., Berman, S. E., Biessels, G. J., Black, S. E., Bos, I., et al. (2019) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1016/j.trci.2019.02.001 · Cited by 455
Extent and distribution of white matter hyperintensities in normal aging, MCI, and AD
Yoshita, M., Fletcher, E., Harvey, D., Ortega, M., Martinez, O., Mungas, D. M., Reed, B. R., & DeCarli, C. S. (2006) · Neurology · doi:10.1212/01.wnl.0000249119.95747.1f · Cited by 434
Clinical staging and disease progression in frontotemporal dementia
Mioshi, E., Hsieh, S., Savage, S., Hornberger, M., & Hodges, J. R. (2010) · Neurology · doi:10.1212/wnl.0b013e3181e04070 · Cited by 362
Self-citationComparison of family histories in FTLD subtypes and related tauopathies
Goldman, J. S., Farmer, J. M., Wood, E. M., Johnson, J. K., Boxer, A. L., Neuhaus, J. M., Lomen‐Hoerth, C., Wilhelmsen, K. C., Lee, V. M. Y., Grossman, M., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000187068.92184.63 · Cited by 355
White matter damage in Alzheimer disease and its relationship to gray matter atrophy
Agosta, F., Pievani, M., Sala, S., Geroldi, C., Galluzzi, S., Frisoni, G. B., & Filippi, M. (2011) · Radiology · doi:10.1148/radiol.10101284 · Cited by 288
McAleese, K. E., Walker, L., Graham, S., Moya, E. L. J., Johnson, M. A., Erskine, D., Colloby, S. J., Dey, M., Martin-Ruiz, C. M., Taylor, J., et al. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1738-2 · Cited by 280
Smith, E. E., Egorova, S., Blacker, D., Killiany, R., Muzikansky, A., Dickerson, B. C., Tanzi, R. E., Albert, M., Greenberg, S. M., & Guttmann, C. R. G. (2008) · Archives of Neurology · doi:10.1001/archneurol.2007.23 · Cited by 243
Vascular risk factors, large-artery atheroma, and brain white matter hyperintensities
Wardlaw, J. M., Allerhand, M., Doubal, F., Hernández, M. V., Morris, Z., Gow, A. J., Bastin, M. E., Starr, J. M., Dennis, M. S., & Deary, I. J. (2014) · Neurology · doi:10.1212/wnl.0000000000000312 · Cited by 219
An update on semantic dementia: genetics, imaging, and pathology
Landín-Romero, R., Tan, R. H., Hodges, J. R., & Kumfor, F. (2016) · Alzheimer s Research & Therapy · doi:10.1186/s13195-016-0219-5 · Cited by 170
Self-citationCortical tau load is associated with white matter hyperintensities
McAleese, K. E., Firbank, M., Dey, M., Colloby, S. J., Walker, L., Johnson, M., Beverley, J. R., Taylor, J. P., Thomas, A. J., O’Brien, J. T., et al. (2015) · Acta Neuropathologica Communications · doi:10.1186/s40478-015-0240-0 · Cited by 161
So, M., Foxe, D., Kumfor, F., Murray, C., Hsieh, S., Savage, G. R., Ahmed, R. M., Burrell, J. R., Hodges, J. R., Irish, M., et al. (2018) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617718000541 · Cited by 127
Self-citationAttems, J., Quass, M., Jellinger, K. A., & Lintner, F. (2007) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2007.01.013 · Cited by 126
Deficits in reflexive covert attention following cerebellar injury
Striemer, C. L., Cantelmi, D., Cusimano, M. D., Danckert, J. A., & Schweizer, T. A. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00428 · Cited by 123
C9ORF72 repeat expansion in clinical and neuropathologic frontotemporal dementia cohorts
Dobson‐Stone, C., Hallupp, M., Bartley, L., Shepherd, C. E., Halliday, G. M., Schofield, P. R., Hodges, J. R., & Kwok, J. B. (2012) · Neurology · doi:10.1212/wnl.0b013e3182684634 · Cited by 119
Self-citationLandin-Romero, R., Kumfor, F., Leyton, C. E., Irish, M., Hodges, J. R., & Piguet, O. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.032 · Cited by 116
Self-citationLam, B. Y. K., Halliday, G. M., Irish, M., Hodges, J. R., & Piguet, O. (2014) · Human Brain Mapping · doi:10.1002/hbm.22420 · Cited by 90
Self-citationSchofield, E. C. (2003) · Brain · doi:10.1093/brain/awg085 · Cited by 86
Extensive White Matter Involvement in Patients With Frontotemporal Lobar Degeneration
Caroppo, P., Ber, I. L., Camuzat, A., Clot, F., Naccache, L., Lamari, F., de Septenville, A. L., Bertrand, A., Belliard, S., Hannequin, D., et al. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.1316 · Cited by 82
White matter hyperintensities are seen only in GRN mutation carriers in the GENFI cohort
Sudre, C. H., Bocchetta, M., Cash, D. M., Thomas, D. L., Woollacott, I., Dick, K. M., Swieten, J. C. V., Borroni, B., Galimberti, D., Masellis, M., et al. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.04.015 · Cited by 80
Woollacott, I., Bocchetta, M., Sudre, C. H., Ridha, B. H., Strand, C., Courtney, R. J., Sebastien Ourselin, A., Cardoso, M. J., Warren, J. D., Rossor, M. N., et al. (2018) · Neurocase · doi:10.1080/13554794.2018.1506039 · Cited by 70
Bohbot, V. D., Allen, J. J. B., Dagher, A., Dumoulin, S. O., Evans, A. C., Petrides, M., Kalina, M., Stepankova, K., & Nadel, L. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00431 · Cited by 69
MRI-based evaluation of structural degeneration in the ageing brain: Pathophysiology and assessment
Grajauskas, L. A., Siu, W. W. Y., Medvedev, G., Guo, H., D’Arcy, R. C. N., & Song, X. (2018) · Ageing Research Reviews · doi:10.1016/j.arr.2018.11.004 · Cited by 61
Phenotypic Heterogeneity of the GRN Asp22fs Mutation in a Large Italian Kindred
Pietroboni, A. M., Fumagalli, G., Ghezzi, L., Fenoglio, C., Cortini, F., Serpente, M., Cantoni, C., Rotondo, E., Corti, P., Carecchio, M., et al. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-101704 · Cited by 58
Low Serum Progranulin Predicts the Presence of Mutations: A Prospective Study
Schofield, E. C., Halliday, G. M., Kwok, J. B., Loy, C. T., Double, K. L., & Hodges, J. R. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-101032 · Cited by 55
Self-citationKim, J. H., Hwang, K. J., Kim, J. H., Lee, Y. H., Rhee, H. Y., & Park, K. (2011) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2011.01.008 · Cited by 48
Sudre, C. H., Bocchetta, M., Heller, C., Convery, R. S., Neason, M. R., Moore, K. M., Cash, D. M., Thomas, D. L., Woollacott, I., Foiani, M. S., et al. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.102077 · Cited by 47
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
White matter basis for the hub-and-spoke semantic representation: evidence from semantic dementia
Chen, Y., Huang, L., Chen, K., Ding, J., Zhang, Y., Yang, Q., Lv, Y., Han, Z., & Guo, Q. (2020) · Brain · doi:10.1093/brain/awaa057 · Cited by 40
White matter hyperintensities characterize monogenic frontotemporal dementia with granulin mutations
Paternicò, D., Premi, E., Gazzina, S., Cosseddu, M., Alberici, A., Archetti, S., Cotelli, M. S., Micheli, A., Turla, M., Gasparotti, R., et al. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.11.011 · Cited by 31
Yu, J., & Lee, T. M. C. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.12.005 · Cited by 28
Automatic MRI Quantifying Methods in Behavioral-Variant Frontotemporal Dementia Diagnosis
Cajanus, A., Hall, A., Koikkalainen, J. R., Solje, E., Tolonen, A. J., Urhemaa, T., Liu, Y., Haanpää, R. M., Hartikainen, P. H., Helisalmi, S., et al. (2018) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000486849 · Cited by 23
Dobson‐Stone, C., Shaw, A. D., Hallupp, M., Bartley, L., McCann, H., Brooks, W. S., Loy, C. T., Schofield, P. R., Mather, K. A., Kochan, N. A., et al. (2015) · Brain · doi:10.1093/brain/awv115 · Cited by 21
Self-citationO2‐03‐03: Phenotypic and genetic subclassification of Alzheimer's disease
Thal, D. R., Koelsch, H., Papassotiropoulos, A., Saido, T. C., Griffin, S. T., Dooren, T. V., LEUVEN, F. V., & Ghebremedhin, E. (2009) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2009.05.336 · Cited by 20
Finding MAPT Mutations in Frontotemporal Dementia and Other Tauopathies
Dobson‐Stone, C., & Kwok, J. B. (2016) · Methods in molecular biology · doi:10.1007/978-1-4939-6598-4_19 · Cited by 6
Self-citation
Research works printed but not linked: 1
- FSLeyes [computer program]. Version 0.30.0. Zenodo; 2019.
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Metadata
- Authors
- Huynh, K., Piguet, O., Kwok, J., Dobson-Stone, C., Halliday, G. M., Hodges, J. R., & Landin-Romero, R.
- Affiliations
- The University of Sydney (AU)
- From the School of Psychology (K.H., O.P., R.L.-R.), Brain and Mind Centre (K.H., O.P., J.K., C.D.-S., G.M.H., J.R.H., R.L.-R.), Central Clinical School (J.K., C.D.-S., G.M.H., J.R.H.), The University of Sydney; and the School of Medical Sciences (J.K., C.D.-S., G.M.H., J.R.H.), University of New South Wales, Sydney, Australia.
- ORCID
- Venue
- Neurology
- Published
- 2021-03-30
- Volume
- 96
- Issue
- 13
- Pages
- e1743-e1754
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- OpenAlex
- W3130302888
- Cited by
- 43
- References
- 52
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 5 · 2023: 9 · 2022: 9 · 2021: 5
- FWCI
- 5.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Clinical Neurology › Cerebrovascular and genetic disorders
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Keywords
- white matter hyperintensities, behavioral variant frontotemporal dementia, Alzheimer's disease, cortical atrophy, cognitive impairment, disease severity, vascular risk, neurodegeneration, voxel-based analysis, white matter segmentation, postmortem pathology
- MeSH terms
- C9orf72 Protein, Progranulins, Brain Cortical Thickness, Cerebral Cortical Thinning, Aged, Alzheimer Disease, Atrophy, Cerebral Cortex, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neuropsychological Tests, Organ Size, Severity of Illness Index, Case-Control Studies, tau Proteins, Leukoencephalopathies, Frontotemporal Dementia, Spatial Analysis, White Matter
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