Gray and White Matter Changes in Subjective Cognitive Impairment, Amnestic Mild Cognitive Impairment and Alzheimer's Disease: A Voxel-Based Analysis Study
Open accessAbstract
Subjective cognitive impairment may be a very early at-risk period of the continuum of dementia. However, it is difficult to discriminate at-risk states from normal aging. Thus, detection of the early pathological changes in the subjective cognitive impairment period is needed. To elucidate these changes, we employed diffusion tensor imaging and volumetry analysis, and compared subjective cognitive impairment with normal, mild cognitive impairment and Alzheimer's disease. The subjects in this study were 39 Alzheimer's disease, 43 mild cognitive impairment, 28 subjective cognitive impairment and 41 normal controls. There were no statistically significant differences between the normal control and subjective cognitive impairment groups in all measures. Alzheimer's disease and mild cognitive impairment had the same extent of brain atrophy and diffusion changes. These results are consistent with the hypothetical model of the dynamic biomarkers of Alzheimer's disease.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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 individuals with SCD, significantly decreased FA and increased MD have been observed in the cerebrum, mainly in the hippocampal body, entorhinal cortex and parahippocampal gyrus, uncinated fasciculi, longitudinal fasciculi and corpus callosum, whereas some studies reported no statistically significant differences in diffusion metrics.
“In individuals with SCD, significantly decreased FA and increased MD have been observed in the cerebrum, mainly in the hippocampal body, entorhinal cortex and parahippocampal gyrus, uncinated fasciculi, longitudinal fasciculi and corpus callosum [77, 78, 109–113], whereas Kiuchi et al. and Viviano et al. reported no statistically significant differences in diffusion metrics [114, 115].”
From Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease (2020) · cites this paper as [114]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Alzheimer's Disease Neuroimaging Initiative (ADNI)
Petersen, R. C., Aisen, P. S., Beckett, L. A., Donohue, M. C., Gamst, A. C., Harvey, D. J., Jack, C. R., Jagust, W. J., Shaw, L. M., Toga, A. W., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181cb3e25 · Cited by 2,572 · see citing works
Grundman, M. (2004) · Archives of Neurology · doi:10.1001/archneur.61.1.59 · Cited by 972 · see citing works
The pre-mild cognitive impairment, subjective cognitive impairment stage of Alzheimer’s disease.
Reisberg, B., Prichep, L., Mosconi, L., John, E. R., Glodzik‐Sobanska, L., Boksay, I., Monteiro, I., Torossian, C., Vedvyas, A., Ashraf, N., et al. (2008) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2007.11.017 · Cited by 312 · see citing works
Flagged first, then by citations
Research works printed but not linked: 42
- [1]Reisberg B, Gauthier S (2008) Current evidence for subjective cognitive impairment (SCI) as the pre-mild cognitive impairment (MCI) stage of subsequently manifest Alzheimer's disease. Int Psychogeriatr 20: 1– 16. 18072981
- [2]Wilson RS, Leurgans SE, Boyle PA, Bennett DA (2011) Cognitive decline in prodromal Alzheimer disease and mild cognitive impairment. Archives of neurology 68: 351– 356. 21403020 PMC3100533
- [4]Jessen F, Wiese B, Bachmann C, Eifflaender-Gorfer S, Haller F, et al (2010) Prediction of dementia by subjective memory impairment: effects of severity and temporal association with cognitive impairment. Arch Gen Psychiatry 67: 414– 422. 20368517
- [5]Petersen RC, Thomas RG, Grundman M, Bennett D, Doody R, et al (2005) Vitamin E and donepezil for the treatment of mild cognitive impairment. N Engl J Med 352: 2379– 2388. 15829527
- [6]Luis CA, Loewenstein DA, Acevedo A, Barker WW, Duara R (2003) Mild cognitive impairment: directions for future research. Neurology 61: 438– 444. 12939414
- [7]Petersen RC (2004) Mild cognitive impairment as a diagnostic entity. J Intern Med 256: 183– 194. 15324362
- [8]Petersen RC, Stevens JC, Ganguli M, Tangalos EG, Cummings JL, et al (2001) Practice parameter: early detection of dementia: mild cognitive impairment (an evidence-based review). Report of the Quality Standards Subcommittee of the American Academy of Neurology. Neurology 56: 1133– 1142. 11342677
- [9]Petersen RC, Doody R, Kurz A, Mohs RC, Morris JC, et al (2001) Current concepts in mild cognitive impairment. Arch Neurol 58: 1985– 1992. 11735772
- [10]Lopez OL, Jagust WJ, DeKosky ST, Becker JT, Fitzpatrick A, et al (2003) Prevalence and classification of mild cognitive impairment in the Cardiovascular Health Study Cognition Study: part 1. Arch Neurol 60: 1385– 1389. 14568808
- [11]Ganguli M, Dodge HH, Shen C, DeKosky ST (2004) Mild cognitive impairment, amnestic type: an epidemiologic study. Neurology 63: 115– 121. 15249620
- [13]Harwood DG, Sultzer DL, Wheatley MV (2000) Impaired insight in Alzheimer disease: association with cognitive deficits, psychiatric symptoms, and behavioral disturbances. Neuropsychiatry, neuropsychology, and behavioral neurology 13: 83– 88. 10780626
- [14]Galeone F, Pappalardo S (2011) Chieffi S, Iavarone A, Carlomagno S (2011) Anosognosia for memory deficit in amnestic mild cognitive impairment and Alzheimer's disease. International journal of geriatric psychiatry 26: 695– 701. 21495076
- [15]Jack CR Jr, Knopman DS, Jagust WJ, Shaw LM, Aisen PS, et al (2010) Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade. Lancet neurology 9: 119– 128. 20083042 PMC2819840
- [16]Bateman RJ, Xiong C, Benzinger TL, Fagan AM, Goate A, et al (2012) Clinical and biomarker changes in dominantly inherited Alzheimer's disease. The New England journal of medicine 367: 795– 804. 22784036 PMC3474597
- [17]Moonis M, Swearer JM, Dayaw MP, St George-Hyslop P, Rogaeva E, et al (2005) Familial Alzheimer disease: decreases in CSF Abeta42 levels precede cognitive decline. Neurology 65: 323– 325. 16043812
- [18]Ringman JM, Younkin SG, Pratico D, Seltzer W, Cole GM, et al (2008) Biochemical markers in persons with preclinical familial Alzheimer disease. Neurology 71: 85– 92. 18509095 PMC12435649
- [19]DeKosky ST, Marek K (2003) Looking backward to move forward: early detection of neurodegenerative disorders. Science 302: 830– 834. 14593169
- [20]Cummings JL, Doody R, Clark C (2007) Disease-modifying therapies for Alzheimer disease: challenges to early intervention. Neurology 69: 1622– 1634. 17938373
- [21]Selnes P, Aarsland D, Bjornerud A, Gjerstad L, Wallin A, et al (2013) Diffusion tensor imaging surpasses cerebrospinal fluid as predictor of cognitive decline and medial temporal lobe atrophy in subjective cognitive impairment and mild cognitive impairment. J Alzheimers Dis 33: 723– 736. 23186987
- [22]Snitz BE, Weissfeld LA, Lopez OL, Kuller LH, Saxton J, et al (2013) Cognitive trajectories associated with beta-amyloid deposition in the oldest-old without dementia. Neurology 80: 1378– 1384. 23516317 PMC3662268
- [23]van Norden AG, Fick WF, de Laat KF, van Uden IW, van Oudheusden LJ, et al (2008) Subjective cognitive failures and hippocampal volume in elderly with white matter lesions. Neurology 71: 1152– 1159. 18838662
- [24]Striepens N, Scheef L, Wind A, Popp J, Spottke A, et al (2010) Volume loss of the medial temporal lobe structures in subjective memory impairment. Dement Geriatr Cogn Disord 29: 75– 81. 20110703
- [25]McKhann G, Drachman D, Folstein M, Katzman R, Price D, et al (1984) 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. Neurology 34: 939– 944. 6610841
- [26]Gomar JJ, Bobes-Bascaran MT, Conejero-Goldberg C, Davies P, Goldberg TE (2011) Utility of combinations of biomarkers, cognitive markers, and risk factors to predict conversion from mild cognitive impairment to Alzheimer disease in patients in the Alzheimer's disease neuroimaging initiative. Archives of general psychiatry 68: 961– 969. 21893661
- [28]Fazekas F, Chawluk JB, Alavi A, Hurtig HI, Zimmerman RA (1987) MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. AJR American journal of roentgenology 149: 351– 356. 3496763
- [29]Reisberg B, Ferris SH, de Leon MJ, Crook T (1982) The Global Deterioration Scale for assessment of primary degenerative dementia. The American journal of psychiatry 139: 1136– 1139. 7114305
- [30]Reisberg B, Ferris SH, de Leon MJ, Crook T (1988) Global Deterioration Scale (GDS). Psychopharmacology bulletin 24: 661– 663. 3249768
- [31]Ashburner J, Friston KJ (2005) Unified segmentation. NeuroImage 26: 839– 851. 15955494
- [32]Jack CR Jr, Knopman DS, Jagust WJ, Petersen RC, Weiner MW, et al (2013) Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers. Lancet neurology 12: 207– 216. 23332364 PMC3622225
- [33]Kiuchi K, Morikawa M, Taoka T, Nagashima T, Yamauchi T, et al (2009) Abnormalities of the uncinate fasciculus and posterior cingulate fasciculus in mild cognitive impairment and early Alzheimer's disease: a diffusion tensor tractography study. Brain Res 1287: 184– 191. 19559010
- [34]Wolkin A, Rusinek H, Vaid G, Arena L, Lafargue T, et al (1998) Structural magnetic resonance image averaging in schizophrenia. The American journal of psychiatry 155: 1064– 1073. 9699695
- [35]Kubicki M, Shenton ME, Salisbury DF, Hirayasu Y, Kasai K, et al (2002) Voxel-based morphometric analysis of gray matter in first episode schizophrenia. NeuroImage 17: 1711– 1719. 12498745 PMC2845166
- [36]Kennedy KM, Erickson KI, Rodrigue KM, Voss MW, Colcombe SJ, et al (2009) Age-related differences in regional brain volumes: a comparison of optimized voxel-based morphometry to manual volumetry. Neurobiology of aging 30: 1657– 1676. 18276037 PMC2756236
- [37]Stewart R, Godin O, Crivello F, Maillard P, Mazoyer B, et al (2011) Longitudinal neuroimaging correlates of subjective memory impairment: 4-year prospective community study. The British journal of psychiatry: the journal of mental science 198: 199– 205. 21357878
- [38]Petersen RC (2004) Mild cognitive impairment as a diagnostic entity. Journal of internal medicine 256: 183– 194. 15324362
- [39]Gauthier S, Reisberg B, Zaudig M, Petersen RC, Ritchie K, et al (2006) Mild cognitive impairment. Lancet 367: 1262– 1270. 16631882
- [40]Selnes P, Fjell AM, Gjerstad L, Bjornerud A, Wallin A, et al (2012) White matter imaging changes in subjective and mild cognitive impairment. Alzheimer's & dementia: the journal of the Alzheimer's Association 8: S112– 121. 23021621
- [41]Grambaite R, Stenset V, Reinvang I, Walhovd KB, Fjell AM, et al (2010) White matter diffusivity predicts memory in patients with subjective and mild cognitive impairment and normal CSF total tau levels. Journal of the International Neuropsychological Society: JINS 16: 58– 69. 19835655
- [42]Stenset V, Bjornerud A, Fjell AM, Walhovd KB, Hofoss D, et al (2011) Cingulum fiber diffusivity and CSF T-tau in patients with subjective and mild cognitive impairment. Neurobiology of aging 32: 581– 589. 19428143
- [43]Wang Y, West JD, Flashman LA, Wishart HA, Santulli RB, et al (2012) Selective changes in white matter integrity in MCI and older adults with cognitive complaints. Biochimica et Biophysica Acta 1822: 423– 430. 21867750 PMC3235544
- [44]Vogel A, Hasselbalch SG, Gade A, Ziebell M, Waldemar G (2005) Cognitive and functional neuroimaging correlate for anosognosia in mild cognitive impairment and Alzheimer's disease. International journal of geriatric psychiatry 20: 238– 246. 15717342
- [45]Kamagata K, Tomiyama H, Motoi Y, Kano M, Abe O, et al (2013) Diffusional kurtosis imaging of cingulate fibers in Parkinson disease: comparison with conventional diffusion tensor imaging. Magnetic resonance imaging 31: 1501– 1506. 23895870
Cited by
Sorted by citations
Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease
Wang, X., Huang, W., Su, L., Xing, Y., Jessen, F., Sun, Y., Shu, N., & Han, Y. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00395-3 · Cited by 265 · see citing works
Perrotin, A., La Joie, R., de La Sayette, V., Barré, L., Mézenge, F., Mutlu, J., Guilloteau, D., Egret, S., Eustache, F., & Chételat, G. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.08.011 · Cited by 179 · see citing works
White matter alterations in early‐stage Alzheimer's disease: A tract‐specific study
Wen, Q., Mustafi, S. M., Li, J., Risacher, S. L., Tallman, E., Brown, S. A., West, J. D., Harezlak, J., Farlow, M. R., Unverzagt, F. W., et al. (2019) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2019.06.003 · Cited by 96 · see citing works
White matter degeneration in subjective cognitive decline: a diffusion tensor imaging study
Li, X.-Y., Tang, Z.-C., Sun, Y., Tian, J., Liu, Z.-Y., & Han, Y. (2016) · Oncotarget · doi:10.18632/oncotarget.10091 · Cited by 65 · see citing works
The DELCODE Study Group, Brueggen, K., Dyrba, M., Cardenas-Blanco, A., Schneider, A., Fliessbach, K., Buerger, K., Janowitz, D., Peters, O., Menne, F., et al. (2019) · Journal of Neurology · doi:10.1007/s00415-019-09429-3 · Cited by 51 · see citing works
- Authors
- Kiuchi, K., Kitamura, S., Taoka, T., Yasuno, F., Tanimura, M., Matsuoka, K., Ikawa, D., Toritsuka, M., Hashimoto, K., Makinodan, M., Kosaka, J., Morikawa, M., Kichikawa, K., & Kishimoto, T.
- Affiliations
- Sakai City Medical Center (JP)
- National Institute of Radiological Sciences (JP)
- Nara Medical University (JP)
- Doshisha University (JP)
- Mie Prefectural Government (JP)
- Corresponding author
- Kiuchi, Kuniaki
- ORCID
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-08-05
- Volume
- 9
- Issue
- 8
- Pages
- e104007
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4122459
- OpenAlex
- W2042561938
- Cited by
- 37
- References
- 3
- Citations by year
- 2025: 1 · 2024: 3 · 2023: 4 · 2022: 6 · 2021: 5 · 2020: 6 · 2019: 3 · 2018: 3 · 2017: 1 · 2016: 3 · 2015: 1 · 2014: 1
- FWCI
- 1.53
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- Japan Society for the Promotion of Science (22791138)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- subjective cognitive impairment, amnestic mild cognitive impairment, Alzheimer's disease, gray matter changes, white matter changes, brain atrophy, diffusion tensor imaging, voxel-based morphometry, early pathological changes, dementia continuum, dynamic biomarkers
- MeSH terms
- Aged, Alzheimer Disease, Amnesia, Atrophy, Demography, Female, Humans, Magnetic Resonance Imaging, Male, Anisotropy, Cognitive Dysfunction, White Matter, Gray Matter
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